From 8d66a936368a1b888f7dc807d9a8f8cebc9ab71c Mon Sep 17 00:00:00 2001 From: Elenka^_^San <75818489+ElenkaSan@users.noreply.github.com> Date: Sat, 2 Aug 2025 03:11:41 -0400 Subject: [PATCH 1/5] Finished task1 Runway text-to-image node with properly integrated into the existing `nodes_runway.py` file and has tests coverage --- .../routes/internal/internal_routes.py | 3 +- ComfyUI/comfy_api_nodes/nodes_runway.py | 172 +++++++++++++++- .../api_nodes/test_runway_integration.py | 141 +++++++++++++ .../tests/api_nodes/test_runway_text2img.py | 185 ++++++++++++++++++ ComfyUI/user/default/comfy.settings.json | 4 +- .../default/workflows/Unsaved Workflow.json | 1 + .../workflows/runway_advanced_workflow.json | 51 +++++ .../workflows/runway_text2img_workflow.json | 22 +++ dream_layer_frontend/package-lock.json | 118 ++++++++++- 9 files changed, 691 insertions(+), 6 deletions(-) create mode 100644 ComfyUI/tests/api_nodes/test_runway_integration.py create mode 100644 ComfyUI/tests/api_nodes/test_runway_text2img.py create mode 100644 ComfyUI/user/default/workflows/Unsaved Workflow.json create mode 100644 ComfyUI/user/default/workflows/runway_advanced_workflow.json create mode 100644 ComfyUI/user/default/workflows/runway_text2img_workflow.json diff --git a/ComfyUI/api_server/routes/internal/internal_routes.py b/ComfyUI/api_server/routes/internal/internal_routes.py index 613b0f7c..03d68d72 100644 --- a/ComfyUI/api_server/routes/internal/internal_routes.py +++ b/ComfyUI/api_server/routes/internal/internal_routes.py @@ -21,7 +21,8 @@ def __init__(self, prompt_server): def setup_routes(self): @self.routes.get('/logs') async def get_logs(request): - return web.json_response("".join([(l["t"] + " - " + l["m"]) for l in app.logger.get_logs()])) + return web.json_response("".join([(l["t"] + " - " + l["m"].decode("utf-8")) for l in app.logger.get_logs()])) + # return web.json_response("".join([(l["t"] + " - " + l["m"]) for l in app.logger.get_logs()])) @self.routes.get('/logs/raw') async def get_raw_logs(request): diff --git a/ComfyUI/comfy_api_nodes/nodes_runway.py b/ComfyUI/comfy_api_nodes/nodes_runway.py index af4b321f..6a123c2d 100644 --- a/ComfyUI/comfy_api_nodes/nodes_runway.py +++ b/ComfyUI/comfy_api_nodes/nodes_runway.py @@ -13,6 +13,22 @@ from typing import Union, Optional, Any from enum import Enum +import os +import requests +import base64 +import io +import time +import numpy as np +import torch +from PIL import Image + +from typing import Optional + +import nodes +import torch +import time + +from comfy.comfy_types.node_typing import ComfyNodeABC, IO import torch @@ -617,14 +633,167 @@ def api_call( # Download and return image image_url = get_image_url_from_task_status(final_response) + if not image_url: + raise RunwayApiError("No image URL found in successful response.") return (download_url_to_image_tensor(image_url),) +""" +Runway Text-to-Image Node + +A simple node that accepts a prompt string and generates an image using Runway's API. +""" +class RunwayText2ImgNode(ComfyNodeABC): + """Runway Text-to-Image Node - Simple direct API implementation.""" + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "generate_image" + CATEGORY = "api node/image/Runway" + API_NODE = True + DESCRIPTION = "Generate an image from a text prompt using Runway's API directly." + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "prompt": model_field_to_node_input( + IO.STRING, RunwayTextToImageRequest, "promptText", multiline=True), + "ratio": model_field_to_node_input( + IO.COMBO, + RunwayTextToImageRequest, + "ratio", + enum_type=RunwayTextToImageAspectRatioEnum, + ) + }, + "hidden": { + "unique_id": "UNIQUE_ID" + }, + } + + def generate_image(self, prompt: str, ratio: str, unique_id: Optional[str] = None, **kwargs): + """ + Generate an image from a text prompt using Runway's API. + + Args: + prompt: The text prompt for image generation + unique_id: Optional unique identifier for the node + + Returns: + tuple[torch.Tensor]: Generated image as a tensor + + Raises: + ValueError: If RUNWAY_API_KEY is missing + Exception: If API call fails + """ + + # Check for API key + api_key = os.getenv('RUNWAY_API_KEY') + if not api_key: + raise ValueError( + "RUNWAY_API_KEY environment variable is required but not set. " + "Please set your Runway API key in the .env file or environment variables." + ) + + # Validate prompt + if not prompt or not prompt.strip(): + raise ValueError("Prompt cannot be empty") + + # Prepare the request + url = "https://api.dev.runwayml.com/v1/text_to_image" + headers = { + "Authorization": f"Bearer {api_key}", + "Content-Type": "application/json", + "X-Runway-Version": "2024-11-06" + } + + payload = { + "promptText": prompt.strip(), + "model": "gen4_image", + "ratio": ratio + } + + try: + # Make the API request + response = requests.post(url, headers=headers, json=payload, timeout=60) + # print("Response status:", response.status_code) + # print("Response text:", response.text) + response.raise_for_status() + + # Parse the response + result_id = response.json().get("id") + if not result_id: + raise Exception("No result ID received from Runway API") + + # Poll for result + status_url = f"https://api.dev.runwayml.com/v1/tasks/{result_id}" + max_attempts = 30 + image_url = None + + for attempt in range(max_attempts): + time.sleep(2) + status_response = requests.get(status_url, headers=headers) + status_response.raise_for_status() + status_data = status_response.json() + + if status_data.get("status") == "SUCCEEDED": + output_list = status_data.get("output", []) + if output_list: + image_url = output_list[0] + break + elif status_data.get("status") in ["FAILED", "CANCELLED"]: + raise Exception(f"Task failed: {status_data.get('status')}") + + if not image_url: + raise Exception("Timeout waiting for image generation.") + + # Download and convert image + image_response = requests.get(image_url) + image_response.raise_for_status() + image_bytes = image_response.content + image = Image.open(io.BytesIO(image_bytes)).convert("RGB") + image_array = np.array(image).astype(np.float32) / 255.0 + + if image_array.ndim == 2: + image_array = np.stack([image_array] * 3, axis=-1) + elif image_array.shape[2] == 4: + image_array = image_array[:, :, :3] + elif image_array.shape[2] == 1: + image_array = np.repeat(image_array, 3, axis=-1) + + image_tensor = torch.from_numpy(image_array).permute(2, 0, 1).unsqueeze(0).contiguous() + + # print(f"✅ Runway output tensor shape: {image_tensor.shape}, dtype: {image_tensor.dtype}") + + if image_tensor.ndim != 4 or image_tensor.shape[1] != 3: + raise ValueError(f"Unexpected image tensor shape: {image_tensor.shape}. Must be [1, 3, H, W]") + + if image_tensor.dtype != torch.float32: + image_tensor = image_tensor.float() + + return (image_tensor,) + + + except requests.exceptions.HTTPError as e: + print("Runway API error response:", response.text) + if response.status_code == 401: + raise Exception("Invalid Runway API key. Please check your RUNWAY_API_KEY.") + elif response.status_code == 400: + raise Exception(f"Bad request to Runway API: {response.text}") + else: + raise Exception(f"Runway API error (HTTP {response.status_code}): {response.text}") + except requests.exceptions.RequestException as e: + raise Exception(f"Failed to connect to Runway API: {str(e)}") + except Exception as e: + raise Exception(f"Error generating image with Runway API: {str(e)}") + + +# Node mappings NODE_CLASS_MAPPINGS = { "RunwayFirstLastFrameNode": RunwayFirstLastFrameNode, "RunwayImageToVideoNodeGen3a": RunwayImageToVideoNodeGen3a, "RunwayImageToVideoNodeGen4": RunwayImageToVideoNodeGen4, "RunwayTextToImageNode": RunwayTextToImageNode, + "RunwayText2ImgNode": RunwayText2ImgNode, } NODE_DISPLAY_NAME_MAPPINGS = { @@ -632,4 +801,5 @@ def api_call( "RunwayImageToVideoNodeGen3a": "Runway Image to Video (Gen3a Turbo)", "RunwayImageToVideoNodeGen4": "Runway Image to Video (Gen4 Turbo)", "RunwayTextToImageNode": "Runway Text to Image", -} + "RunwayText2ImgNode": "Runway Text to Image (Simple)", +} \ No newline at end of file diff --git a/ComfyUI/tests/api_nodes/test_runway_integration.py b/ComfyUI/tests/api_nodes/test_runway_integration.py new file mode 100644 index 00000000..496c1f0e --- /dev/null +++ b/ComfyUI/tests/api_nodes/test_runway_integration.py @@ -0,0 +1,141 @@ +""" +Integration test for Runway Text2Img Node. +This test should be run when the full ComfyUI environment is available. +""" + +import os +import sys +import pytest +import torch +import ast + +def setup_module(): + """Set up the Python path to include ComfyUI modules.""" + # Add the ComfyUI root directory to Python path + comfyui_root = os.path.dirname(os.path.dirname(os.path.dirname(__file__))) + if comfyui_root not in sys.path: + sys.path.insert(0, comfyui_root) + + # Add the current directory to Python path + current_dir = os.path.dirname(os.path.dirname(__file__)) + if current_dir not in sys.path: + sys.path.insert(0, current_dir) + +def test_runway_node_file_content(): + """Test that the RunwayText2ImgNode class exists in the file with expected content.""" + file_path = "comfy_api_nodes/nodes_runway.py" + if not os.path.exists(file_path): + pytest.skip(f"File {file_path} does not exist") + + print(f"File {file_path} exists") + + with open(file_path, 'r') as f: + content = f.read() + + # Check if the class exists + assert "class RunwayText2ImgNode" in content, "RunwayText2ImgNode class not found" + print("RunwayText2ImgNode class found in file") + + # Check for required methods and attributes + required_elements = [ + "RETURN_TYPES = (\"IMAGE\",)", + "FUNCTION = \"generate_image\"", + "CATEGORY = \"api node/image/Runway\"", + "def generate_image(self, prompt: str, ratio: str, unique_id: Optional[str] = None", + "RUNWAY_API_KEY" + ] + + for element in required_elements: + assert element in content, f"Required element '{element}' not found in file" + print(f"Found required element: {element}") + + print("RunwayText2ImgNode file contains expected content") + +def test_runway_node_ast_parsing(): + """Test that the RunwayText2ImgNode can be parsed by Python AST.""" + file_path = "comfy_api_nodes/nodes_runway.py" + if not os.path.exists(file_path): + pytest.skip(f"File {file_path} does not exist") + + try: + with open(file_path, 'r') as f: + content = f.read() + + # Parse the file with AST to check syntax + tree = ast.parse(content) + + # Find the RunwayText2ImgNode class + class_found = False + for node in ast.walk(tree): + if isinstance(node, ast.ClassDef) and node.name == "RunwayText2ImgNode": + class_found = True + print(f"Found RunwayText2ImgNode class in AST") + + for item in node.body: + if isinstance(item, ast.FunctionDef) and item.name == "generate_image": + arg_names = [arg.arg for arg in item.args.args] + assert "prompt" in arg_names, "Missing 'prompt' argument" + assert "ratio" in arg_names, "Missing 'ratio' argument" + assert "unique_id" in arg_names, "Missing 'unique_id' argument" + print("Found generate_image() method and has required arguments") + break + else: + assert False, "generate_image() method not found" + break + + assert class_found, "RunwayText2ImgNode class not found in AST" + + except SyntaxError as e: + pytest.fail(f"Syntax error in {file_path}: {e}") + except Exception as e: + pytest.fail(f"Error parsing {file_path}: {e}") + +def test_runway_node_mappings(): + """Test that the node mappings are properly defined.""" + file_path = "comfy_api_nodes/nodes_runway.py" + if not os.path.exists(file_path): + pytest.skip(f"File {file_path} does not exist") + + with open(file_path, 'r') as f: + content = f.read() + + # Check for node mappings + assert "NODE_CLASS_MAPPINGS" in content, "NODE_CLASS_MAPPINGS not found" + assert "RunwayText2ImgNode" in content, "RunwayText2ImgNode not in mappings" + + # Check for display name mappings + assert "NODE_DISPLAY_NAME_MAPPINGS" in content, "NODE_DISPLAY_NAME_MAPPINGS not found" + + print("Node mappings are properly defined") + +def test_runway_node_import_with_mock(): + """Test importing the node with mocked dependencies.""" + file_path = "comfy_api_nodes/nodes_runway.py" + if not os.path.exists(file_path): + pytest.skip(f"File {file_path} does not exist") + + # Mock the problematic imports + import unittest.mock as mock + + with mock.patch.dict('sys.modules', { + 'utils.json_util': mock.MagicMock(), + 'server': mock.MagicMock(), + 'comfy': mock.MagicMock(), + 'comfy.comfy_types': mock.MagicMock(), + 'comfy.comfy_types.node_typing': mock.MagicMock(), + }): + try: + # Try to import the module + import importlib.util + spec = importlib.util.spec_from_file_location("nodes_runway", file_path) + module = importlib.util.module_from_spec(spec) + spec.loader.exec_module(module) + + # Check if the class exists + assert hasattr(module, 'RunwayText2ImgNode'), "RunwayText2ImgNode not found in module" + print("RunwayText2ImgNode imported successfully with mocked dependencies") + + except Exception as e: + print(f"Import with mock failed: {e}") + # This is not a failure, just informational + pass \ No newline at end of file diff --git a/ComfyUI/tests/api_nodes/test_runway_text2img.py b/ComfyUI/tests/api_nodes/test_runway_text2img.py new file mode 100644 index 00000000..dec2ac9d --- /dev/null +++ b/ComfyUI/tests/api_nodes/test_runway_text2img.py @@ -0,0 +1,185 @@ +import os +import pytest +import torch +import base64 +import io +import numpy as np +from unittest import mock +from PIL import Image + +# Test the core functionality without importing the full node +def test_base64_to_tensor_conversion(): + """Test converting base64 image data to tensor.""" + # Create a simple 1x1 red image + image = Image.new('RGB', (1, 1), color='red') + + # Convert to base64 + buffer = io.BytesIO() + image.save(buffer, format='PNG') + image_bytes = buffer.getvalue() + base64_string = base64.b64encode(image_bytes).decode('utf-8') + + # Convert back to tensor (simulating the node's conversion logic) + image_bytes = base64.b64decode(base64_string) + image = Image.open(io.BytesIO(image_bytes)) + + if image.mode != 'RGB': + image = image.convert('RGB') + + image_array = np.array(image).astype(np.float32) / 255.0 + image_tensor = torch.from_numpy(image_array).permute(2, 0, 1) # HWC to CHW + image_tensor = image_tensor.unsqueeze(0) # Add batch dimension + + assert isinstance(image_tensor, torch.Tensor) + assert image_tensor.shape == (1, 3, 1, 1) + assert image_tensor.dtype == torch.float32 + +def test_api_key_validation(): + """Test API key validation logic.""" + # Test missing API key + if "RUNWAY_API_KEY" in os.environ: + del os.environ["RUNWAY_API_KEY"] + + api_key = os.getenv('RUNWAY_API_KEY') + assert api_key is None + + # Test with fake API key + os.environ["RUNWAY_API_KEY"] = "fake_key" + api_key = os.getenv('RUNWAY_API_KEY') + assert api_key == "fake_key" + +def test_prompt_validation(): + """Test prompt validation logic.""" + # Test empty prompt + prompt = "" + assert not prompt or not prompt.strip() + + # Test whitespace-only prompt + prompt = " " + assert not prompt or not prompt.strip() + + # Test valid prompt + prompt = "A cat in space" + assert prompt and prompt.strip() + +@mock.patch("requests.post") +def test_api_request_structure(mock_post): + """Test the structure of API requests.""" + # Mock successful response + mock_post.return_value.status_code = 200 + mock_post.return_value.json.return_value = { + "output": "fake_base64_data" + } + + # Test API request structure + url = "https://api.dev.runwayml.com/v1/text_to_image" + headers = { + "Authorization": "Bearer fake_key", + "Content-Type": "application/json" + } + + payload = { + "prompt": "A cat in space", + "model": "gen4_image", + "ratio": "1:1" + } + + # This would be the actual request in the node + # response = requests.post(url, headers=headers, json=payload, timeout=60) + + # Verify the structure is correct + assert url == "https://api.dev.runwayml.com/v1/text_to_image" + assert "Authorization" in headers + assert "Content-Type" in headers + assert "prompt" in payload + assert "model" in payload + assert "ratio" in payload + +@mock.patch("requests.post") +def test_http_400_bad_request(mock_post): + mock_post.return_value.status_code = 400 + mock_post.return_value.text = "Bad request example" + mock_post.return_value.raise_for_status.side_effect = Exception("400 Error") + + with pytest.raises(Exception) as exc_info: + # simulate your actual API logic here + raise Exception(f"Bad request to Runway API: {mock_post.return_value.text}") + + assert "Bad request to Runway API" in str(exc_info.value) + +@mock.patch("requests.post") +def test_http_401_unauthorized(mock_post): + mock_post.return_value.status_code = 401 + mock_post.return_value.text = "Unauthorized" + mock_post.return_value.raise_for_status.side_effect = Exception("401 Unauthorized") + + with pytest.raises(Exception) as exc_info: + raise Exception("Invalid Runway API key. Please check your RUNWAY_API_KEY.") + + assert "Invalid Runway API key" in str(exc_info.value) + +@mock.patch("requests.post") +def test_http_500_server_error(mock_post): + mock_post.return_value.status_code = 500 + mock_post.return_value.text = "Internal Server Error" + mock_post.return_value.raise_for_status.side_effect = Exception("500 Internal Error") + + with pytest.raises(Exception) as exc_info: + raise Exception(f"Runway API error (HTTP 500): Internal Server Error") + + assert "Runway API error (HTTP 500)" in str(exc_info.value) + +@mock.patch("requests.get") +def test_api_polling_timeout(mock_get): + mock_get.return_value.status_code = 200 + mock_get.return_value.json.return_value = { + "status": "IN_PROGRESS" + } + + # Simulate timeout after N retries + max_attempts = 5 + for _ in range(max_attempts): + status = mock_get.return_value.json()["status"] + assert status == "IN_PROGRESS" + + # Simulate exception due to timeout + with pytest.raises(Exception) as exc_info: + raise Exception("Timeout waiting for image generation.") + + assert "Timeout waiting for image generation" in str(exc_info.value) + +@mock.patch("requests.get") +def test_image_download_failure(mock_get): + mock_get.return_value.status_code = 404 + mock_get.return_value.raise_for_status.side_effect = Exception("404 Not Found") + + with pytest.raises(Exception) as exc_info: + raise Exception("No image URL found in successful response.") + + assert "No image URL found" in str(exc_info.value) + +def test_invalid_tensor_shape(): + bad_tensor = torch.rand(1, 1, 256, 256) # Wrong channel count + + with pytest.raises(ValueError) as exc_info: + if bad_tensor.shape[1] != 3: + raise ValueError(f"Unexpected image tensor shape: {bad_tensor.shape}") + + assert "Unexpected image tensor shape" in str(exc_info.value) + +def test_error_handling(): + """Test error handling patterns.""" + # Test ValueError for missing API key + try: + raise ValueError( + "RUNWAY_API_KEY environment variable is required but not set. " + "Please set your Runway API key in the .env file or environment variables." + ) + except ValueError as e: + assert "RUNWAY_API_KEY" in str(e) + + # Test ValueError for empty prompt + try: + raise ValueError("Prompt cannot be empty") + except ValueError as e: + assert "Prompt cannot be empty" in str(e) diff --git a/ComfyUI/user/default/comfy.settings.json b/ComfyUI/user/default/comfy.settings.json index 438b3dad..d210a3d7 100644 --- a/ComfyUI/user/default/comfy.settings.json +++ b/ComfyUI/user/default/comfy.settings.json @@ -1,3 +1,5 @@ { - "Comfy.TutorialCompleted": true + "Comfy.TutorialCompleted": true, + "Comfy.Release.Version": "0.3.48", + "Comfy.Release.Timestamp": 1754104559219 } \ No newline at end of file diff --git a/ComfyUI/user/default/workflows/Unsaved Workflow.json b/ComfyUI/user/default/workflows/Unsaved Workflow.json new file mode 100644 index 00000000..af54a172 --- /dev/null +++ b/ComfyUI/user/default/workflows/Unsaved Workflow.json @@ -0,0 +1 @@ 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S&R":"EmptyLatentImage"},"widgets_values":[512,512,1]},{"id":3,"type":"KSampler","pos":[863,186],"size":[315,262],"flags":{},"order":4,"mode":0,"inputs":[{"localized_name":"model","name":"model","type":"MODEL","link":1},{"localized_name":"positive","name":"positive","type":"CONDITIONING","link":4},{"localized_name":"negative","name":"negative","type":"CONDITIONING","link":6},{"localized_name":"latent_image","name":"latent_image","type":"LATENT","link":2},{"localized_name":"seed","name":"seed","type":"INT","widget":{"name":"seed"},"link":null},{"localized_name":"steps","name":"steps","type":"INT","widget":{"name":"steps"},"link":null},{"localized_name":"cfg","name":"cfg","type":"FLOAT","widget":{"name":"cfg"},"link":null},{"localized_name":"sampler_name","name":"sampler_name","type":"COMBO","widget":{"name":"sampler_name"},"link":null},{"localized_name":"scheduler","name":"scheduler","type":"COMBO","widget":{"name":"scheduler"},"link":null},{"localized_name":"denoise","name":"denoise","type":"FLOAT","widget":{"name":"denoise"},"link":null}],"outputs":[{"localized_name":"LATENT","name":"LATENT","type":"LATENT","slot_index":0,"links":[7]}],"properties":{"Node 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S&R":"VAEDecode"},"widgets_values":[]},{"id":9,"type":"SaveImage","pos":[1451,189],"size":[210,58],"flags":{},"order":6,"mode":0,"inputs":[{"localized_name":"images","name":"images","type":"IMAGE","link":9},{"localized_name":"filename_prefix","name":"filename_prefix","type":"STRING","widget":{"name":"filename_prefix"},"link":null}],"outputs":[],"properties":{},"widgets_values":["ComfyUI"]},{"id":4,"type":"CheckpointLoaderSimple","pos":[26,474],"size":[315,98],"flags":{},"order":1,"mode":0,"inputs":[{"localized_name":"ckpt_name","name":"ckpt_name","type":"COMBO","widget":{"name":"ckpt_name"},"link":null}],"outputs":[{"localized_name":"MODEL","name":"MODEL","type":"MODEL","slot_index":0,"links":[1]},{"localized_name":"CLIP","name":"CLIP","type":"CLIP","slot_index":1,"links":[3,5]},{"localized_name":"VAE","name":"VAE","type":"VAE","slot_index":2,"links":[8]}],"properties":{"Node name for 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beautiful sunset over mountains with dramatic clouds", + "ratio": "1024:1024" + } + }, + "2": { + "class_type": "PreviewImage", + "inputs": { + "images": ["1", 0] + } + }, + "3": { + "class_type": "SaveImage", + "inputs": { + "images": ["1", 0], + "filename_prefix": "runway_generated_img" + } + } +} \ No newline at end of file diff --git a/dream_layer_frontend/package-lock.json b/dream_layer_frontend/package-lock.json index b21a16d0..41caeed0 100644 --- a/dream_layer_frontend/package-lock.json +++ b/dream_layer_frontend/package-lock.json @@ -83,6 +83,7 @@ "version": "5.2.0", "resolved": "https://registry.npmjs.org/@alloc/quick-lru/-/quick-lru-5.2.0.tgz", "integrity": "sha512-UrcABB+4bUrFABwbluTIBErXwvbsU/V7TZWfmbgJfbkwiBuziS9gxdODUyuiecfdGQ85jglMW6juS3+z5TsKLw==", + "dev": true, "license": "MIT", "engines": { "node": ">=10" @@ -762,6 +763,7 @@ "version": "8.0.2", "resolved": "https://registry.npmjs.org/@isaacs/cliui/-/cliui-8.0.2.tgz", "integrity": 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"cssesc": "bin/cssesc" @@ -3769,12 +3796,14 @@ "version": "1.2.2", "resolved": "https://registry.npmjs.org/didyoumean/-/didyoumean-1.2.2.tgz", "integrity": "sha512-gxtyfqMg7GKyhQmb056K7M3xszy/myH8w+B4RT+QXBQsvAOdc3XymqDDPHx1BgPgsdAA5SIifona89YtRATDzw==", + "dev": true, "license": "Apache-2.0" }, "node_modules/dlv": { "version": "1.1.3", "resolved": "https://registry.npmjs.org/dlv/-/dlv-1.1.3.tgz", "integrity": "sha512-+HlytyjlPKnIG8XuRG8WvmBP8xs8P71y+SKKS6ZXWoEgLuePxtDoUEiH7WkdePWrQ5JBpE6aoVqfZfJUQkjXwA==", + "dev": true, "license": "MIT" }, "node_modules/dom-helpers": { @@ -3791,6 +3820,7 @@ "version": "0.2.0", "resolved": "https://registry.npmjs.org/eastasianwidth/-/eastasianwidth-0.2.0.tgz", "integrity": "sha512-I88TYZWc9XiYHRQ4/3c5rjjfgkjhLyW2luGIheGERbNQ6OY7yTybanSpDXZa8y7VUP9YmDcYa+eyq4ca7iLqWA==", + "dev": true, "license": "MIT" }, "node_modules/electron-to-chromium": { @@ -3832,6 +3862,7 @@ "version": "9.2.2", "resolved": 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"dev": true, "license": "MIT", "engines": { "node": ">=8" @@ -5666,6 +5751,7 @@ "version": "4.1.0", "resolved": "https://registry.npmjs.org/signal-exit/-/signal-exit-4.1.0.tgz", "integrity": "sha512-bzyZ1e88w9O1iNJbKnOlvYTrWPDl46O1bG0D3XInv+9tkPrxrN8jUUTiFlDkkmKWgn1M6CfIA13SuGqOa9Korw==", + "dev": true, "license": "ISC", "engines": { "node": ">=14" @@ -5688,6 +5774,7 @@ "version": "1.2.1", "resolved": "https://registry.npmjs.org/source-map-js/-/source-map-js-1.2.1.tgz", "integrity": "sha512-UXWMKhLOwVKb728IUtQPXxfYU+usdybtUrK/8uGE8CQMvrhOpwvzDBwj0QhSL7MQc7vIsISBG8VQ8+IDQxpfQA==", + "dev": true, "license": "BSD-3-Clause", "engines": { "node": ">=0.10.0" @@ -5706,6 +5793,7 @@ "version": "5.1.2", "resolved": "https://registry.npmjs.org/string-width/-/string-width-5.1.2.tgz", "integrity": "sha512-HnLOCR3vjcY8beoNLtcjZ5/nxn2afmME6lhrDrebokqMap+XbeW8n9TXpPDOqdGK5qcI3oT0GKTW6wC7EMiVqA==", + "dev": true, "license": "MIT", "dependencies": { "eastasianwidth": "^0.2.0", @@ -5724,6 +5812,7 @@ "version": "4.2.3", "resolved": "https://registry.npmjs.org/string-width/-/string-width-4.2.3.tgz", "integrity": "sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g==", + "dev": true, "license": "MIT", "dependencies": { "emoji-regex": "^8.0.0", @@ -5738,6 +5827,7 @@ "version": "5.0.1", "resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-5.0.1.tgz", "integrity": "sha512-quJQXlTSUGL2LH9SUXo8VwsY4soanhgo6LNSm84E1LBcE8s3O0wpdiRzyR9z/ZZJMlMWv37qOOb9pdJlMUEKFQ==", + "dev": true, "license": "MIT", "engines": { "node": ">=8" @@ -5747,12 +5837,14 @@ "version": "8.0.0", "resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-8.0.0.tgz", "integrity": "sha512-MSjYzcWNOA0ewAHpz0MxpYFvwg6yjy1NG3xteoqz644VCo/RPgnr1/GGt+ic3iJTzQ8Eu3TdM14SawnVUmGE6A==", + "dev": true, "license": "MIT" }, "node_modules/string-width-cjs/node_modules/strip-ansi": { "version": "6.0.1", "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-6.0.1.tgz", "integrity": "sha512-Y38VPSHcqkFrCpFnQ9vuSXmquuv5oXOKpGeT6aGrr3o3Gc9AlVa6JBfUSOCnbxGGZF+/0ooI7KrPuUSztUdU5A==", + "dev": true, "license": "MIT", "dependencies": { "ansi-regex": "^5.0.1" @@ -5765,6 +5857,7 @@ "version": "7.1.0", "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-7.1.0.tgz", "integrity": "sha512-iq6eVVI64nQQTRYq2KtEg2d2uU7LElhTJwsH4YzIHZshxlgZms/wIc4VoDQTlG/IvVIrBKG06CrZnp0qv7hkcQ==", + "dev": true, "license": "MIT", "dependencies": { "ansi-regex": "^6.0.1" @@ -5781,6 +5874,7 @@ "version": "6.0.1", "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-6.0.1.tgz", "integrity": "sha512-Y38VPSHcqkFrCpFnQ9vuSXmquuv5oXOKpGeT6aGrr3o3Gc9AlVa6JBfUSOCnbxGGZF+/0ooI7KrPuUSztUdU5A==", + "dev": true, "license": "MIT", "dependencies": { "ansi-regex": "^5.0.1" @@ -5793,6 +5887,7 @@ "version": "5.0.1", "resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-5.0.1.tgz", "integrity": 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"sha512-w33E2aCvSDP0tW9RZuNXadXlkHXqFzSkQew/aIa2i/Sj8fThxwovwlXHSPXTbAHwEIhBFXAedUhP2tueAKP8Og==", + "dev": true, "license": "MIT", "dependencies": { "@alloc/quick-lru": "^5.2.0", @@ -5918,6 +6016,7 @@ "version": "6.1.2", "resolved": "https://registry.npmjs.org/postcss-selector-parser/-/postcss-selector-parser-6.1.2.tgz", "integrity": "sha512-Q8qQfPiZ+THO/3ZrOrO0cJJKfpYCagtMUkXbnEfmgUjwXg6z/WBeOyS9APBBPCTSiDV+s4SwQGu8yFsiMRIudg==", + "dev": true, "license": "MIT", "dependencies": { "cssesc": "^3.0.0", @@ -5931,6 +6030,7 @@ "version": "3.3.1", "resolved": "https://registry.npmjs.org/thenify/-/thenify-3.3.1.tgz", "integrity": "sha512-RVZSIV5IG10Hk3enotrhvz0T9em6cyHBLkH/YAZuKqd8hRkKhSfCGIcP2KUY0EPxndzANBmNllzWPwak+bheSw==", + "dev": true, "license": "MIT", "dependencies": { "any-promise": "^1.0.0" @@ -5940,6 +6040,7 @@ "version": "1.6.0", "resolved": "https://registry.npmjs.org/thenify-all/-/thenify-all-1.6.0.tgz", "integrity": "sha512-RNxQH/qI8/t3thXJDwcstUO4zeqo64+Uy/+sNVRBx4Xn2OX+OZ9oP+iJnNFqplFra2ZUVeKCSa2oVWi3T4uVmA==", + "dev": true, "license": "MIT", "dependencies": { "thenify": ">= 3.1.0 < 4" @@ -5958,6 +6059,7 @@ "version": "5.0.1", "resolved": "https://registry.npmjs.org/to-regex-range/-/to-regex-range-5.0.1.tgz", "integrity": "sha512-65P7iz6X5yEr1cwcgvQxbbIw7Uk3gOy5dIdtZ4rDveLqhrdJP+Li/Hx6tyK0NEb+2GCyneCMJiGqrADCSNk8sQ==", + "dev": true, "license": "MIT", "dependencies": { "is-number": "^7.0.0" @@ -5983,6 +6085,7 @@ "version": "0.1.13", "resolved": "https://registry.npmjs.org/ts-interface-checker/-/ts-interface-checker-0.1.13.tgz", "integrity": "sha512-Y/arvbn+rrz3JCKl9C4kVNfTfSm2/mEp5FSz5EsZSANGPSlQrpRI5M4PKF+mJnE52jOO90PnPSc3Ur3bTQw0gA==", + "dev": true, "license": "Apache-2.0" }, "node_modules/tslib": { @@ -6246,6 +6349,7 @@ "version": "2.0.2", "resolved": "https://registry.npmjs.org/which/-/which-2.0.2.tgz", "integrity": "sha512-BLI3Tl1TW3Pvl70l3yq3Y64i+awpwXqsGBYWkkqMtnbXgrMD+yj7rhW0kuEDxzJaYXGjEW5ogapKNMEKNMjibA==", + "dev": true, "license": "ISC", "dependencies": { "isexe": "^2.0.0" @@ -6271,6 +6375,7 @@ "version": "8.1.0", "resolved": "https://registry.npmjs.org/wrap-ansi/-/wrap-ansi-8.1.0.tgz", "integrity": "sha512-si7QWI6zUMq56bESFvagtmzMdGOtoxfR+Sez11Mobfc7tm+VkUckk9bW2UeffTGVUbOksxmSw0AA2gs8g71NCQ==", + "dev": true, "license": "MIT", "dependencies": { "ansi-styles": "^6.1.0", @@ -6289,6 +6394,7 @@ "version": "7.0.0", "resolved": "https://registry.npmjs.org/wrap-ansi/-/wrap-ansi-7.0.0.tgz", "integrity": "sha512-YVGIj2kamLSTxw6NsZjoBxfSwsn0ycdesmc4p+Q21c5zPuZ1pl+NfxVdxPtdHvmNVOQ6XSYG4AUtyt/Fi7D16Q==", + "dev": true, "license": "MIT", "dependencies": { "ansi-styles": "^4.0.0", @@ -6306,6 +6412,7 @@ "version": "5.0.1", "resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-5.0.1.tgz", "integrity": "sha512-quJQXlTSUGL2LH9SUXo8VwsY4soanhgo6LNSm84E1LBcE8s3O0wpdiRzyR9z/ZZJMlMWv37qOOb9pdJlMUEKFQ==", + "dev": true, "license": "MIT", "engines": { "node": ">=8" @@ -6315,12 +6422,14 @@ "version": "8.0.0", "resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-8.0.0.tgz", "integrity": "sha512-MSjYzcWNOA0ewAHpz0MxpYFvwg6yjy1NG3xteoqz644VCo/RPgnr1/GGt+ic3iJTzQ8Eu3TdM14SawnVUmGE6A==", + "dev": true, "license": "MIT" }, "node_modules/wrap-ansi-cjs/node_modules/string-width": { "version": "4.2.3", "resolved": "https://registry.npmjs.org/string-width/-/string-width-4.2.3.tgz", "integrity": "sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g==", + "dev": true, "license": "MIT", "dependencies": { "emoji-regex": "^8.0.0", @@ -6335,6 +6444,7 @@ "version": "6.0.1", "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-6.0.1.tgz", "integrity": "sha512-Y38VPSHcqkFrCpFnQ9vuSXmquuv5oXOKpGeT6aGrr3o3Gc9AlVa6JBfUSOCnbxGGZF+/0ooI7KrPuUSztUdU5A==", + "dev": true, "license": "MIT", "dependencies": { "ansi-regex": "^5.0.1" @@ -6347,6 +6457,7 @@ "version": "6.2.1", "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-6.2.1.tgz", "integrity": "sha512-bN798gFfQX+viw3R7yrGWRqnrN2oRkEkUjjl4JNn4E8GxxbjtG3FbrEIIY3l8/hrwUwIeCZvi4QuOTP4MErVug==", + "dev": true, "license": "MIT", "engines": { "node": ">=12" @@ -6359,6 +6470,7 @@ "version": "2.8.0", "resolved": "https://registry.npmjs.org/yaml/-/yaml-2.8.0.tgz", "integrity": "sha512-4lLa/EcQCB0cJkyts+FpIRx5G/llPxfP6VQU5KByHEhLxY3IJCH0f0Hy1MHI8sClTvsIb8qwRJ6R/ZdlDJ/leQ==", + "dev": true, "license": "ISC", "bin": { "yaml": "bin.mjs" From bd16f4e9c95addac3a05ba638180a6380ffff1a9 Mon Sep 17 00:00:00 2001 From: Elenka^_^San <75818489+ElenkaSan@users.noreply.github.com> Date: Tue, 5 Aug 2025 13:32:52 -0400 Subject: [PATCH 2/5] Changes have been made based on the comments provided --- .../routes/internal/internal_routes.py | 3 +- ComfyUI/comfy_api_nodes/nodes_runway.py | 180 +++++++++--------- ComfyUI/nodes.py | 33 +++- ComfyUI/user/default/comfy.settings.json | 4 +- .../default/workflows/Unsaved Workflow.json | 1 - .../workflows/runway_advanced_workflow.json | 13 -- .../workflows/runway_text2img_workflow.json | 17 +- 7 files changed, 124 insertions(+), 127 deletions(-) delete mode 100644 ComfyUI/user/default/workflows/Unsaved Workflow.json diff --git a/ComfyUI/api_server/routes/internal/internal_routes.py b/ComfyUI/api_server/routes/internal/internal_routes.py index 03d68d72..613b0f7c 100644 --- a/ComfyUI/api_server/routes/internal/internal_routes.py +++ b/ComfyUI/api_server/routes/internal/internal_routes.py @@ -21,8 +21,7 @@ def __init__(self, prompt_server): def setup_routes(self): @self.routes.get('/logs') async def get_logs(request): - return web.json_response("".join([(l["t"] + " - " + l["m"].decode("utf-8")) for l in app.logger.get_logs()])) - # return web.json_response("".join([(l["t"] + " - " + l["m"]) for l in app.logger.get_logs()])) + return web.json_response("".join([(l["t"] + " - " + l["m"]) for l in app.logger.get_logs()])) @self.routes.get('/logs/raw') async def get_raw_logs(request): diff --git a/ComfyUI/comfy_api_nodes/nodes_runway.py b/ComfyUI/comfy_api_nodes/nodes_runway.py index 6a123c2d..b9531f3a 100644 --- a/ComfyUI/comfy_api_nodes/nodes_runway.py +++ b/ComfyUI/comfy_api_nodes/nodes_runway.py @@ -15,22 +15,15 @@ from enum import Enum import os import requests -import base64 import io import time import numpy as np import torch from PIL import Image -from typing import Optional - -import nodes -import torch -import time - from comfy.comfy_types.node_typing import ComfyNodeABC, IO -import torch + from comfy_api_nodes.apis import ( RunwayImageToVideoRequest, @@ -644,14 +637,25 @@ def api_call( """ class RunwayText2ImgNode(ComfyNodeABC): - """Runway Text-to-Image Node - Simple direct API implementation.""" - + """ + Uses Runway's Gen-4 text-to-image endpoint to generate an image from a prompt. + + Inputs: + - prompt (str): The text prompt to generate the image. + - ratio (str): The desired aspect ratio (e.g., '1:1', '16:9'). + + Returns: + - image (torch.Tensor): A normalized [1, 3, H, W] float32 image tensor. + """ + RETURN_TYPES = ("IMAGE",) - FUNCTION = "generate_image" + FUNCTION = "generate" CATEGORY = "api node/image/Runway" API_NODE = True DESCRIPTION = "Generate an image from a text prompt using Runway's API directly." - + + MAX_POLL_ATTEMPTS = 30 + @classmethod def INPUT_TYPES(s): return { @@ -666,126 +670,118 @@ def INPUT_TYPES(s): ) }, "hidden": { - "unique_id": "UNIQUE_ID" + "unique_id": "UNIQUE_ID", + "auth_token": "AUTH_TOKEN_COMFY_ORG", + "comfy_api_key": "API_KEY_COMFY_ORG", }, } - - def generate_image(self, prompt: str, ratio: str, unique_id: Optional[str] = None, **kwargs): + + def generate(self, prompt: str, ratio: str, unique_id: Optional[str] = None, timeout: int = 60, **kwargs): """ - Generate an image from a text prompt using Runway's API. - - Args: - prompt: The text prompt for image generation - unique_id: Optional unique identifier for the node - - Returns: - tuple[torch.Tensor]: Generated image as a tensor - - Raises: - ValueError: If RUNWAY_API_KEY is missing - Exception: If API call fails + Sends prompt to Runway API, polls for completion, fetches and decodes the image. """ - # Check for API key api_key = os.getenv('RUNWAY_API_KEY') if not api_key: - raise ValueError( - "RUNWAY_API_KEY environment variable is required but not set. " - "Please set your Runway API key in the .env file or environment variables." - ) - + raise ValueError("RUNWAY_API_KEY environment variable is missing.") + # Validate prompt if not prompt or not prompt.strip(): - raise ValueError("Prompt cannot be empty") + raise ValueError("Prompt cannot be empty.") # Prepare the request - url = "https://api.dev.runwayml.com/v1/text_to_image" + api_base_url = "https://api.dev.runwayml.com/v1" + url = f"{api_base_url}/text_to_image" headers = { "Authorization": f"Bearer {api_key}", "Content-Type": "application/json", "X-Runway-Version": "2024-11-06" } - + payload = { "promptText": prompt.strip(), "model": "gen4_image", - "ratio": ratio + "ratio": ratio, + "timeout": timeout } - + try: # Make the API request - response = requests.post(url, headers=headers, json=payload, timeout=60) - # print("Response status:", response.status_code) - # print("Response text:", response.text) + response = requests.post(url, headers=headers, json=payload, timeout=timeout) response.raise_for_status() - # Parse the response result_id = response.json().get("id") if not result_id: - raise Exception("No result ID received from Runway API") - - # Poll for result - status_url = f"https://api.dev.runwayml.com/v1/tasks/{result_id}" - max_attempts = 30 + raise RuntimeError("No result ID returned from Runway API.") + + # Poll the task endpoint until it succeeds or fails (max 30 attempts) + status_url = f"{api_base_url}/tasks/{result_id}" image_url = None - - for attempt in range(max_attempts): - time.sleep(2) + + interval = 1.0 + for attempt in range(self.MAX_POLL_ATTEMPTS): + time.sleep(interval) status_response = requests.get(status_url, headers=headers) status_response.raise_for_status() status_data = status_response.json() - + # Check the status if status_data.get("status") == "SUCCEEDED": - output_list = status_data.get("output", []) - if output_list: - image_url = output_list[0] - break + output = status_data.get("output", []) + if output: + image_url = output[0] + break elif status_data.get("status") in ["FAILED", "CANCELLED"]: - raise Exception(f"Task failed: {status_data.get('status')}") + raise RuntimeError(f"Runway task failed with status: {status_data['status']}") if not image_url: - raise Exception("Timeout waiting for image generation.") - - # Download and convert image - image_response = requests.get(image_url) - image_response.raise_for_status() - image_bytes = image_response.content - image = Image.open(io.BytesIO(image_bytes)).convert("RGB") - image_array = np.array(image).astype(np.float32) / 255.0 - - if image_array.ndim == 2: - image_array = np.stack([image_array] * 3, axis=-1) - elif image_array.shape[2] == 4: - image_array = image_array[:, :, :3] - elif image_array.shape[2] == 1: - image_array = np.repeat(image_array, 3, axis=-1) - - image_tensor = torch.from_numpy(image_array).permute(2, 0, 1).unsqueeze(0).contiguous() - - # print(f"✅ Runway output tensor shape: {image_tensor.shape}, dtype: {image_tensor.dtype}") - - if image_tensor.ndim != 4 or image_tensor.shape[1] != 3: - raise ValueError(f"Unexpected image tensor shape: {image_tensor.shape}. Must be [1, 3, H, W]") - - if image_tensor.dtype != torch.float32: - image_tensor = image_tensor.float() - - return (image_tensor,) - + raise TimeoutError("Image generation timed out.") + + # Download the image + img_resp = requests.get(image_url) + img_resp.raise_for_status() + img = Image.open(io.BytesIO(img_resp.content)).convert("RGB") + img_np = np.array(img).astype(np.float32) / 255.0 + + # Ensure image is in [C, H, W] format and has 3 channels + if img_np.ndim == 2: + img_np = np.stack([img_np]*3, axis=-1) + elif img_np.shape[2] == 4: + img_np = img_np[:, :, :3] + elif img_np.shape[2] == 1: + img_np = np.repeat(img_np, 3, axis=-1) + elif img_np.shape[2] != 3: + raise ValueError(f"Unsupported image shape: {img_np.shape}") + + # Convert to tensor + tensor = torch.from_numpy(img_np).permute(2, 0, 1).unsqueeze(0).contiguous() + if tensor.shape[1] != 3: + tensor = tensor.repeat(1, 3, 1, 1) + if tensor.ndim != 4 or tensor.shape[1] != 3: + raise ValueError(f"Unexpected image tensor shape: {tensor.shape}") + if tensor.dtype != torch.float32: + tensor = tensor.float() + + # Ensure tensor is 4D + if tensor.ndim == 3: + tensor = tensor.unsqueeze(0) + elif tensor.ndim == 4 and tensor.shape[1] != 3: + tensor = tensor.repeat(1, 3, 1, 1) + elif tensor.ndim != 4: + raise ValueError(f"Unexpected image tensor shape before return: {tensor.shape}") + + return (tensor,) except requests.exceptions.HTTPError as e: - print("Runway API error response:", response.text) if response.status_code == 401: - raise Exception("Invalid Runway API key. Please check your RUNWAY_API_KEY.") + raise PermissionError("Invalid API key.") elif response.status_code == 400: - raise Exception(f"Bad request to Runway API: {response.text}") + raise ValueError(f"Bad request: {response.text}") else: - raise Exception(f"Runway API error (HTTP {response.status_code}): {response.text}") + raise RuntimeError(f"Runway API error (HTTP {response.status_code}): {response.text}") except requests.exceptions.RequestException as e: - raise Exception(f"Failed to connect to Runway API: {str(e)}") + raise ConnectionError(f"Failed to connect to Runway API: {str(e)}") except Exception as e: - raise Exception(f"Error generating image with Runway API: {str(e)}") - + raise RuntimeError(f"Unhandled error: {str(e)}") # Node mappings NODE_CLASS_MAPPINGS = { @@ -802,4 +798,4 @@ def generate_image(self, prompt: str, ratio: str, unique_id: Optional[str] = Non "RunwayImageToVideoNodeGen4": "Runway Image to Video (Gen4 Turbo)", "RunwayTextToImageNode": "Runway Text to Image", "RunwayText2ImgNode": "Runway Text to Image (Simple)", -} \ No newline at end of file +} \ No newline at end of file diff --git a/ComfyUI/nodes.py b/ComfyUI/nodes.py index 637279ff..b307fac0 100644 --- a/ComfyUI/nodes.py +++ b/ComfyUI/nodes.py @@ -1581,8 +1581,22 @@ def save_images(self, images, filename_prefix="ComfyUI", prompt=None, extra_pngi full_output_folder, filename, counter, subfolder, filename_prefix = folder_paths.get_save_image_path(filename_prefix, self.output_dir, images[0].shape[1], images[0].shape[0]) results = list() for (batch_number, image) in enumerate(images): - i = 255. * image.cpu().numpy() - img = Image.fromarray(np.clip(i, 0, 255).astype(np.uint8)) + # Ensure image is [C, H, W] + if image.ndim == 4: + image = image.squeeze(0) # from [1, C, H, W] → [C, H, W] + elif image.ndim != 3: + raise ValueError(f"Unexpected image shape: {image.shape}") + + img_np = image.permute(1, 2, 0).cpu().numpy() # [H, W, C] + if img_np.max() <= 1.0: + img_np = (img_np * 255).astype(np.uint8) + else: + img_np = np.clip(img_np, 0, 255).astype(np.uint8) + + if img_np.shape[2] != 3: + raise ValueError(f"Image must have 3 channels, got shape: {img_np.shape}") + + img = Image.fromarray(img_np) metadata = None if not args.disable_metadata: metadata = PngInfo() @@ -1785,15 +1799,16 @@ def upscale(self, image, upscale_method, width, height, crop): if width == 0 and height == 0: s = image else: - samples = image.movedim(-1,1) + samples = image # already [B, C, H, W] - if width == 0: - width = max(1, round(samples.shape[3] * height / samples.shape[2])) - elif height == 0: - height = max(1, round(samples.shape[2] * width / samples.shape[3])) + if width == 0: + width = max(1, round(samples.shape[3] * height / samples.shape[2])) + elif height == 0: + height = max(1, round(samples.shape[2] * width / samples.shape[3])) + + # Perform upscaling using ComfyUI utils + s = comfy.utils.common_upscale(samples, width, height, upscale_method, crop) - s = comfy.utils.common_upscale(samples, width, height, upscale_method, crop) - s = s.movedim(1,-1) return (s,) class ImageScaleBy: diff --git a/ComfyUI/user/default/comfy.settings.json b/ComfyUI/user/default/comfy.settings.json index d210a3d7..ff469457 100644 --- a/ComfyUI/user/default/comfy.settings.json +++ b/ComfyUI/user/default/comfy.settings.json @@ -1,5 +1,5 @@ { "Comfy.TutorialCompleted": true, - "Comfy.Release.Version": "0.3.48", - "Comfy.Release.Timestamp": 1754104559219 + "Comfy.Release.Version": "0.3.49", + "Comfy.Release.Timestamp": 1754408309411 } \ No newline at end of file diff --git a/ComfyUI/user/default/workflows/Unsaved Workflow.json b/ComfyUI/user/default/workflows/Unsaved Workflow.json deleted file mode 100644 index af54a172..00000000 --- a/ComfyUI/user/default/workflows/Unsaved Workflow.json +++ /dev/null @@ -1 +0,0 @@ -{"id":"d385816d-11ef-4759-81d5-a442a9d82412","revision":0,"last_node_id":9,"last_link_id":9,"nodes":[{"id":7,"type":"CLIPTextEncode","pos":[413,389],"size":[425.27801513671875,180.6060791015625],"flags":{},"order":3,"mode":0,"inputs":[{"localized_name":"clip","name":"clip","type":"CLIP","link":5},{"localized_name":"text","name":"text","type":"STRING","widget":{"name":"text"},"link":null}],"outputs":[{"localized_name":"CONDITIONING","name":"CONDITIONING","type":"CONDITIONING","slot_index":0,"links":[6]}],"properties":{"Node name for S&R":"CLIPTextEncode"},"widgets_values":["text, watermark"]},{"id":6,"type":"CLIPTextEncode","pos":[415,186],"size":[422.84503173828125,164.31304931640625],"flags":{},"order":2,"mode":0,"inputs":[{"localized_name":"clip","name":"clip","type":"CLIP","link":3},{"localized_name":"text","name":"text","type":"STRING","widget":{"name":"text"},"link":null}],"outputs":[{"localized_name":"CONDITIONING","name":"CONDITIONING","type":"CONDITIONING","slot_index":0,"links":[4]}],"properties":{"Node name for S&R":"CLIPTextEncode"},"widgets_values":["beautiful scenery nature glass bottle landscape, , purple galaxy bottle,"]},{"id":5,"type":"EmptyLatentImage","pos":[473,609],"size":[315,106],"flags":{},"order":0,"mode":0,"inputs":[{"localized_name":"width","name":"width","type":"INT","widget":{"name":"width"},"link":null},{"localized_name":"height","name":"height","type":"INT","widget":{"name":"height"},"link":null},{"localized_name":"batch_size","name":"batch_size","type":"INT","widget":{"name":"batch_size"},"link":null}],"outputs":[{"localized_name":"LATENT","name":"LATENT","type":"LATENT","slot_index":0,"links":[2]}],"properties":{"Node name for S&R":"EmptyLatentImage"},"widgets_values":[512,512,1]},{"id":3,"type":"KSampler","pos":[863,186],"size":[315,262],"flags":{},"order":4,"mode":0,"inputs":[{"localized_name":"model","name":"model","type":"MODEL","link":1},{"localized_name":"positive","name":"positive","type":"CONDITIONING","link":4},{"localized_name":"negative","name":"negative","type":"CONDITIONING","link":6},{"localized_name":"latent_image","name":"latent_image","type":"LATENT","link":2},{"localized_name":"seed","name":"seed","type":"INT","widget":{"name":"seed"},"link":null},{"localized_name":"steps","name":"steps","type":"INT","widget":{"name":"steps"},"link":null},{"localized_name":"cfg","name":"cfg","type":"FLOAT","widget":{"name":"cfg"},"link":null},{"localized_name":"sampler_name","name":"sampler_name","type":"COMBO","widget":{"name":"sampler_name"},"link":null},{"localized_name":"scheduler","name":"scheduler","type":"COMBO","widget":{"name":"scheduler"},"link":null},{"localized_name":"denoise","name":"denoise","type":"FLOAT","widget":{"name":"denoise"},"link":null}],"outputs":[{"localized_name":"LATENT","name":"LATENT","type":"LATENT","slot_index":0,"links":[7]}],"properties":{"Node name for S&R":"KSampler"},"widgets_values":[156680208700286,"randomize",20,8,"euler","normal",1]},{"id":8,"type":"VAEDecode","pos":[1209,188],"size":[210,46],"flags":{},"order":5,"mode":0,"inputs":[{"localized_name":"samples","name":"samples","type":"LATENT","link":7},{"localized_name":"vae","name":"vae","type":"VAE","link":8}],"outputs":[{"localized_name":"IMAGE","name":"IMAGE","type":"IMAGE","slot_index":0,"links":[9]}],"properties":{"Node name for S&R":"VAEDecode"},"widgets_values":[]},{"id":9,"type":"SaveImage","pos":[1451,189],"size":[210,58],"flags":{},"order":6,"mode":0,"inputs":[{"localized_name":"images","name":"images","type":"IMAGE","link":9},{"localized_name":"filename_prefix","name":"filename_prefix","type":"STRING","widget":{"name":"filename_prefix"},"link":null}],"outputs":[],"properties":{},"widgets_values":["ComfyUI"]},{"id":4,"type":"CheckpointLoaderSimple","pos":[26,474],"size":[315,98],"flags":{},"order":1,"mode":0,"inputs":[{"localized_name":"ckpt_name","name":"ckpt_name","type":"COMBO","widget":{"name":"ckpt_name"},"link":null}],"outputs":[{"localized_name":"MODEL","name":"MODEL","type":"MODEL","slot_index":0,"links":[1]},{"localized_name":"CLIP","name":"CLIP","type":"CLIP","slot_index":1,"links":[3,5]},{"localized_name":"VAE","name":"VAE","type":"VAE","slot_index":2,"links":[8]}],"properties":{"Node name for S&R":"CheckpointLoaderSimple"},"widgets_values":["v1-5-pruned-emaonly-fp16.safetensors"]}],"links":[[1,4,0,3,0,"MODEL"],[2,5,0,3,3,"LATENT"],[3,4,1,6,0,"CLIP"],[4,6,0,3,1,"CONDITIONING"],[5,4,1,7,0,"CLIP"],[6,7,0,3,2,"CONDITIONING"],[7,3,0,8,0,"LATENT"],[8,4,2,8,1,"VAE"],[9,8,0,9,0,"IMAGE"]],"groups":[],"config":{},"extra":{"ds":{"scale":1,"offset":[0,0]}},"version":0.4} \ No newline at end of file diff --git a/ComfyUI/user/default/workflows/runway_advanced_workflow.json b/ComfyUI/user/default/workflows/runway_advanced_workflow.json index 11f5247e..214fbf0f 100644 --- a/ComfyUI/user/default/workflows/runway_advanced_workflow.json +++ b/ComfyUI/user/default/workflows/runway_advanced_workflow.json @@ -1,17 +1,4 @@ { - "1": { - "class_type": "CLIPTextEncode", - "inputs": { - "prompt": "A beautiful sunset over mountains with dramatic clouds, high quality, detailed", - "clip": ["2", 0] - } - }, - "2": { - "class_type": "CheckpointLoaderSimple", - "inputs": { - "ckpt_name": "v1-5-pruned.ckpt" - } - }, "3": { "class_type": "RunwayText2ImgNode", "inputs": { diff --git a/ComfyUI/user/default/workflows/runway_text2img_workflow.json b/ComfyUI/user/default/workflows/runway_text2img_workflow.json index b89547a7..ca4c1579 100644 --- a/ComfyUI/user/default/workflows/runway_text2img_workflow.json +++ b/ComfyUI/user/default/workflows/runway_text2img_workflow.json @@ -2,21 +2,22 @@ "1": { "class_type": "RunwayText2ImgNode", "inputs": { - "prompt": "A beautiful sunset over mountains with dramatic clouds", - "ratio": "1024:1024" + "prompt": "A beautiful sunset over mountains and forest with dramatic clouds", + "ratio": "1024:1024", + "timeout": 120 } }, "2": { - "class_type": "PreviewImage", + "class_type": "SaveImage", "inputs": { - "images": ["1", 0] + "images": ["1", 0], + "filename_prefix": "runway_generated_img" } }, "3": { - "class_type": "SaveImage", + "class_type": "PreviewImage", "inputs": { - "images": ["1", 0], - "filename_prefix": "runway_generated_img" + "images": ["1", 0] } } -} \ No newline at end of file +} \ No newline at end of file From febbd05a7b95bb9765dd26a345f43d713798a107 Mon Sep 17 00:00:00 2001 From: Elenka^_^San <75818489+ElenkaSan@users.noreply.github.com> Date: Tue, 5 Aug 2025 15:39:25 -0400 Subject: [PATCH 3/5] Updated logic by comments --- ComfyUI/comfy_api_nodes/nodes_runway.py | 12 + .../api_nodes/test_runway_integration.py | 12 +- .../tests/api_nodes/test_runway_text2image.py | 77 ++++++ .../tests/api_nodes/test_runway_text2img.py | 256 ++++++------------ .../workflows/runway_advanced_workflow.json | 3 +- 5 files changed, 181 insertions(+), 179 deletions(-) create mode 100644 ComfyUI/tests/api_nodes/test_runway_text2image.py diff --git a/ComfyUI/comfy_api_nodes/nodes_runway.py b/ComfyUI/comfy_api_nodes/nodes_runway.py index b9531f3a..3d9a8240 100644 --- a/ComfyUI/comfy_api_nodes/nodes_runway.py +++ b/ComfyUI/comfy_api_nodes/nodes_runway.py @@ -782,6 +782,18 @@ def generate(self, prompt: str, ratio: str, unique_id: Optional[str] = None, tim raise ConnectionError(f"Failed to connect to Runway API: {str(e)}") except Exception as e: raise RuntimeError(f"Unhandled error: {str(e)}") + + except requests.exceptions.HTTPError: + if response.status_code == 401: + raise RunwayApiError("Invalid Runway API key. Please check your RUNWAY_API_KEY.") + elif response.status_code == 400: + raise RunwayApiError(f"Bad request: {response.text}") + else: + raise RunwayApiError(f"Runway API error (HTTP {response.status_code}): {response.text}") + except requests.exceptions.RequestException as e: + raise RunwayApiError(f"Failed to connect to Runway API: {str(e)}") + except Exception as e: + raise RunwayApiError(f"Unhandled error: {str(e)}") # Node mappings NODE_CLASS_MAPPINGS = { diff --git a/ComfyUI/tests/api_nodes/test_runway_integration.py b/ComfyUI/tests/api_nodes/test_runway_integration.py index 496c1f0e..a2c4e46c 100644 --- a/ComfyUI/tests/api_nodes/test_runway_integration.py +++ b/ComfyUI/tests/api_nodes/test_runway_integration.py @@ -27,8 +27,6 @@ def test_runway_node_file_content(): if not os.path.exists(file_path): pytest.skip(f"File {file_path} does not exist") - print(f"File {file_path} exists") - with open(file_path, 'r') as f: content = f.read() @@ -39,9 +37,7 @@ def test_runway_node_file_content(): # Check for required methods and attributes required_elements = [ "RETURN_TYPES = (\"IMAGE\",)", - "FUNCTION = \"generate_image\"", "CATEGORY = \"api node/image/Runway\"", - "def generate_image(self, prompt: str, ratio: str, unique_id: Optional[str] = None", "RUNWAY_API_KEY" ] @@ -72,15 +68,15 @@ def test_runway_node_ast_parsing(): print(f"Found RunwayText2ImgNode class in AST") for item in node.body: - if isinstance(item, ast.FunctionDef) and item.name == "generate_image": + if isinstance(item, ast.FunctionDef) and item.name == "generate": arg_names = [arg.arg for arg in item.args.args] assert "prompt" in arg_names, "Missing 'prompt' argument" assert "ratio" in arg_names, "Missing 'ratio' argument" assert "unique_id" in arg_names, "Missing 'unique_id' argument" - print("Found generate_image() method and has required arguments") + print("Found generate() method and has required arguments") break else: - assert False, "generate_image() method not found" + assert False, "generate() method not found" break assert class_found, "RunwayText2ImgNode class not found in AST" @@ -138,4 +134,4 @@ def test_runway_node_import_with_mock(): except Exception as e: print(f"Import with mock failed: {e}") # This is not a failure, just informational - pass \ No newline at end of file + pass diff --git a/ComfyUI/tests/api_nodes/test_runway_text2image.py b/ComfyUI/tests/api_nodes/test_runway_text2image.py new file mode 100644 index 00000000..a8c46756 --- /dev/null +++ b/ComfyUI/tests/api_nodes/test_runway_text2image.py @@ -0,0 +1,77 @@ +import os +import pytest +import torch +import base64 +import io +import numpy as np +from unittest import mock +from PIL import Image +from comfy_api_nodes.nodes_runway import RunwayText2ImgNode +from ComfyUI.utils.json_util import merge_json_recursive + +@mock.patch("requests.post") +@mock.patch("requests.get") +def test_generate_success(mock_get, mock_post): + """Test full flow with mocked API.""" + node = RunwayText2ImgNode() + + # Fake "task created" response + mock_post.return_value.status_code = 200 + mock_post.return_value.json.return_value = {"id": "task123"} + + # Fake polling that returns successful status and output URL + mock_get.return_value.status_code = 200 + mock_get.return_value.json.return_value = { + "status": "SUCCEEDED", + "output": ["https://fake-image.com/image.png"] + } + + # Mock final image download + img = Image.new("RGB", (64, 64), color="blue") + img_buffer = io.BytesIO() + img.save(img_buffer, format="PNG") + mock_image_bytes = img_buffer.getvalue() + + with mock.patch("requests.get") as mock_download: + mock_download.return_value.status_code = 200 + mock_download.return_value.content = mock_image_bytes + + os.environ["RUNWAY_API_KEY"] = "fake_key" + result = node.generate(prompt="Test", ratio="1:1", timeout=10) + + assert isinstance(result, tuple) + assert isinstance(result[0], torch.Tensor) + assert result[0].shape[1] == 3 # Channels + +def test_api_key_missing(): + """Should raise ValueError if RUNWAY_API_KEY is not set.""" + node = RunwayText2ImgNode() + if "RUNWAY_API_KEY" in os.environ: + del os.environ["RUNWAY_API_KEY"] + + with pytest.raises(ValueError) as exc_info: + node.generate(prompt="Test", ratio="1:1") + + assert "RUNWAY_API_KEY environment variable is missing" in str(exc_info.value) + +def test_empty_prompt_raises(): + node = RunwayText2ImgNode() + os.environ["RUNWAY_API_KEY"] = "fake_key" + + with pytest.raises(ValueError) as exc_info: + node.generate(prompt=" ", ratio="1:1") + + assert "Prompt cannot be empty" in str(exc_info.value) + +@mock.patch("requests.post") +def test_http_401(mock_post): + node = RunwayText2ImgNode() + os.environ["RUNWAY_API_KEY"] = "fake_key" + + mock_post.return_value.status_code = 401 + mock_post.return_value.raise_for_status.side_effect = requests.exceptions.HTTPError("401 Unauthorized") + + with pytest.raises(PermissionError) as exc_info: + node.generate(prompt="A dog flying", ratio="1:1") + + assert "Invalid API key" in str(exc_info.value) diff --git a/ComfyUI/tests/api_nodes/test_runway_text2img.py b/ComfyUI/tests/api_nodes/test_runway_text2img.py index dec2ac9d..3591899a 100644 --- a/ComfyUI/tests/api_nodes/test_runway_text2img.py +++ b/ComfyUI/tests/api_nodes/test_runway_text2img.py @@ -1,185 +1,101 @@ +""" +Integration test for Runway Text2Img Node. +This test should be run when the full ComfyUI environment is available. +""" + import os +import sys +import ast import pytest import torch -import base64 -import io -import numpy as np +import importlib.util from unittest import mock -from PIL import Image -# Test the core functionality without importing the full node -def test_base64_to_tensor_conversion(): - """Test converting base64 image data to tensor.""" - # Create a simple 1x1 red image - image = Image.new('RGB', (1, 1), color='red') - - # Convert to base64 - buffer = io.BytesIO() - image.save(buffer, format='PNG') - image_bytes = buffer.getvalue() - base64_string = base64.b64encode(image_bytes).decode('utf-8') - - # Convert back to tensor (simulating the node's conversion logic) - image_bytes = base64.b64decode(base64_string) - image = Image.open(io.BytesIO(image_bytes)) - - if image.mode != 'RGB': - image = image.convert('RGB') - - image_array = np.array(image).astype(np.float32) / 255.0 - image_tensor = torch.from_numpy(image_array).permute(2, 0, 1) # HWC to CHW - image_tensor = image_tensor.unsqueeze(0) # Add batch dimension - - assert isinstance(image_tensor, torch.Tensor) - assert image_tensor.shape == (1, 3, 1, 1) - assert image_tensor.dtype == torch.float32 - -def test_api_key_validation(): - """Test API key validation logic.""" - # Test missing API key - if "RUNWAY_API_KEY" in os.environ: - del os.environ["RUNWAY_API_KEY"] - - api_key = os.getenv('RUNWAY_API_KEY') - assert api_key is None - - # Test with fake API key - os.environ["RUNWAY_API_KEY"] = "fake_key" - api_key = os.getenv('RUNWAY_API_KEY') - assert api_key == "fake_key" - -def test_prompt_validation(): - """Test prompt validation logic.""" - # Test empty prompt - prompt = "" - assert not prompt or not prompt.strip() - - # Test whitespace-only prompt - prompt = " " - assert not prompt or not prompt.strip() - - # Test valid prompt - prompt = "A cat in space" - assert prompt and prompt.strip() - -@mock.patch("requests.post") -def test_api_request_structure(mock_post): - """Test the structure of API requests.""" - # Mock successful response - mock_post.return_value.status_code = 200 - mock_post.return_value.json.return_value = { - "output": "fake_base64_data" - } - - # Test API request structure - url = "https://api.dev.runwayml.com/v1/text_to_image" - headers = { - "Authorization": "Bearer fake_key", - "Content-Type": "application/json" - } - - payload = { - "prompt": "A cat in space", - "model": "gen4_image", - "ratio": "1:1" - } - - # This would be the actual request in the node - # response = requests.post(url, headers=headers, json=payload, timeout=60) - - # Verify the structure is correct - assert url == "https://api.dev.runwayml.com/v1/text_to_image" - assert "Authorization" in headers - assert "Content-Type" in headers - assert "prompt" in payload - assert "model" in payload - assert "ratio" in payload - -@mock.patch("requests.post") -def test_http_400_bad_request(mock_post): - mock_post.return_value.status_code = 400 - mock_post.return_value.text = "Bad request example" - mock_post.return_value.raise_for_status.side_effect = Exception("400 Error") - - with pytest.raises(Exception) as exc_info: - # simulate your actual API logic here - raise Exception(f"Bad request to Runway API: {mock_post.return_value.text}") - - assert "Bad request to Runway API" in str(exc_info.value) - -@mock.patch("requests.post") -def test_http_401_unauthorized(mock_post): - mock_post.return_value.status_code = 401 - mock_post.return_value.text = "Unauthorized" - mock_post.return_value.raise_for_status.side_effect = Exception("401 Unauthorized") - - with pytest.raises(Exception) as exc_info: - raise Exception("Invalid Runway API key. Please check your RUNWAY_API_KEY.") - - assert "Invalid Runway API key" in str(exc_info.value) - -@mock.patch("requests.post") -def test_http_500_server_error(mock_post): - mock_post.return_value.status_code = 500 - mock_post.return_value.text = "Internal Server Error" - mock_post.return_value.raise_for_status.side_effect = Exception("500 Internal Error") - - with pytest.raises(Exception) as exc_info: - raise Exception(f"Runway API error (HTTP 500): Internal Server Error") - - assert "Runway API error (HTTP 500)" in str(exc_info.value) - -@mock.patch("requests.get") -def test_api_polling_timeout(mock_get): - mock_get.return_value.status_code = 200 - mock_get.return_value.json.return_value = { - "status": "IN_PROGRESS" - } +# --- Setup Helpers --- - # Simulate timeout after N retries - max_attempts = 5 - for _ in range(max_attempts): - status = mock_get.return_value.json()["status"] - assert status == "IN_PROGRESS" +def get_comfyui_root(): + return os.path.dirname(os.path.dirname(os.path.dirname(__file__))) - # Simulate exception due to timeout - with pytest.raises(Exception) as exc_info: - raise Exception("Timeout waiting for image generation.") +def get_nodes_file_path(): + return os.path.join(get_comfyui_root(), "comfy_api_nodes", "nodes_runway.py") - assert "Timeout waiting for image generation" in str(exc_info.value) +def read_nodes_file(): + with open(get_nodes_file_path(), "r") as f: + return f.read() -@mock.patch("requests.get") -def test_image_download_failure(mock_get): - mock_get.return_value.status_code = 404 - mock_get.return_value.raise_for_status.side_effect = Exception("404 Not Found") +# --- Fixtures --- - with pytest.raises(Exception) as exc_info: - raise Exception("No image URL found in successful response.") +@pytest.fixture(scope="module", autouse=True) +def add_comfyui_to_sys_path(): + """Automatically add ComfyUI paths to sys.path for all tests.""" + comfyui_root = get_comfyui_root() + current_dir = os.path.dirname(os.path.dirname(__file__)) + sys.path.insert(0, comfyui_root) + sys.path.insert(0, current_dir) - assert "No image URL found" in str(exc_info.value) +# --- Tests --- -def test_invalid_tensor_shape(): - bad_tensor = torch.rand(1, 1, 256, 256) # Wrong channel count +def test_nodes_file_exists(): + """Test that the node file exists.""" + assert os.path.exists(get_nodes_file_path()), "nodes_runway.py file is missing" - with pytest.raises(ValueError) as exc_info: - if bad_tensor.shape[1] != 3: - raise ValueError(f"Unexpected image tensor shape: {bad_tensor.shape}") +def test_runway_node_has_expected_content(): + """Test that expected strings exist in the source code.""" + content = read_nodes_file() + + expected_lines = [ + "class RunwayText2ImgNode", + "RETURN_TYPES = (\"IMAGE\",)", + "FUNCTION = \"generate_image\"", + "CATEGORY = \"api node/image/Runway\"", + "def generate_image(self, prompt: str, ratio: str, unique_id: Optional[str] = None", + "RUNWAY_API_KEY", + ] + + for line in expected_lines: + assert line in content, f"Expected line missing: {line}" + +def test_runway_node_ast_valid_and_has_generate_image(): + """Test that RunwayText2ImgNode and generate_image() exist via AST.""" + content = read_nodes_file() + tree = ast.parse(content) + + class_defs = [node for node in ast.walk(tree) if isinstance(node, ast.ClassDef)] + runway_node = next((cls for cls in class_defs if cls.name == "RunwayText2ImgNode"), None) + + assert runway_node is not None, "RunwayText2ImgNode class not found" + + func_defs = [f for f in runway_node.body if isinstance(f, ast.FunctionDef)] + func_names = [f.name for f in func_defs] + assert "generate_image" in func_names, "generate_image method not found in RunwayText2ImgNode" + + func = next(f for f in func_defs if f.name == "generate_image") + arg_names = [arg.arg for arg in func.args.args] + + assert "prompt" in arg_names, "Missing 'prompt' argument" + assert "ratio" in arg_names, "Missing 'ratio' argument" + assert "unique_id" in arg_names, "Missing 'unique_id' argument" + +def test_runway_node_mappings_exist(): + """Test NODE_CLASS_MAPPINGS and NODE_DISPLAY_NAME_MAPPINGS are present and valid.""" + content = read_nodes_file() + assert "NODE_CLASS_MAPPINGS" in content, "NODE_CLASS_MAPPINGS not found" + assert "RunwayText2ImgNode" in content, "RunwayText2ImgNode not in NODE_CLASS_MAPPINGS" + assert "NODE_DISPLAY_NAME_MAPPINGS" in content, "NODE_DISPLAY_NAME_MAPPINGS not found" + +def test_runway_node_import_with_mock_dependencies(): + """Test node file can be imported with mocked dependencies.""" + mock_modules = { + 'utils.json_util': mock.MagicMock(), + 'server': mock.MagicMock(), + 'comfy': mock.MagicMock(), + 'comfy.comfy_types': mock.MagicMock(), + 'comfy.comfy_types.node_typing': mock.MagicMock(), + } - assert "Unexpected image tensor shape" in str(exc_info.value) + with mock.patch.dict('sys.modules', mock_modules): + spec = importlib.util.spec_from_file_location("nodes_runway", get_nodes_file_path()) + module = importlib.util.module_from_spec(spec) + spec.loader.exec_module(module) -def test_error_handling(): - """Test error handling patterns.""" - # Test ValueError for missing API key - try: - raise ValueError( - "RUNWAY_API_KEY environment variable is required but not set. " - "Please set your Runway API key in the .env file or environment variables." - ) - except ValueError as e: - assert "RUNWAY_API_KEY" in str(e) - - # Test ValueError for empty prompt - try: - raise ValueError("Prompt cannot be empty") - except ValueError as e: - assert "Prompt cannot be empty" in str(e) + assert hasattr(module, "RunwayText2ImgNode"), "RunwayText2ImgNode not found after import" diff --git a/ComfyUI/user/default/workflows/runway_advanced_workflow.json b/ComfyUI/user/default/workflows/runway_advanced_workflow.json index 214fbf0f..3b33b756 100644 --- a/ComfyUI/user/default/workflows/runway_advanced_workflow.json +++ b/ComfyUI/user/default/workflows/runway_advanced_workflow.json @@ -2,7 +2,8 @@ "3": { "class_type": "RunwayText2ImgNode", "inputs": { - "prompt": "A beautiful sunset over mountains with dramatic clouds" + "prompt": "A beautiful sunset over mountains with dramatic clouds", + "ratio": "1024:1024" } }, "4": { From 409c61d5e7a86dd9dd73a2bb273170d5f8634cf2 Mon Sep 17 00:00:00 2001 From: Elenka^_^San <75818489+ElenkaSan@users.noreply.github.com> Date: Tue, 5 Aug 2025 19:13:48 -0400 Subject: [PATCH 4/5] Removed fogotten Duplicate exception handling --- ComfyUI/comfy_api_nodes/nodes_runway.py | 12 ------------ 1 file changed, 12 deletions(-) diff --git a/ComfyUI/comfy_api_nodes/nodes_runway.py b/ComfyUI/comfy_api_nodes/nodes_runway.py index 3d9a8240..49af1321 100644 --- a/ComfyUI/comfy_api_nodes/nodes_runway.py +++ b/ComfyUI/comfy_api_nodes/nodes_runway.py @@ -770,18 +770,6 @@ def generate(self, prompt: str, ratio: str, unique_id: Optional[str] = None, tim raise ValueError(f"Unexpected image tensor shape before return: {tensor.shape}") return (tensor,) - - except requests.exceptions.HTTPError as e: - if response.status_code == 401: - raise PermissionError("Invalid API key.") - elif response.status_code == 400: - raise ValueError(f"Bad request: {response.text}") - else: - raise RuntimeError(f"Runway API error (HTTP {response.status_code}): {response.text}") - except requests.exceptions.RequestException as e: - raise ConnectionError(f"Failed to connect to Runway API: {str(e)}") - except Exception as e: - raise RuntimeError(f"Unhandled error: {str(e)}") except requests.exceptions.HTTPError: if response.status_code == 401: From a222115519fb9ccf6b52273b04c71fa7437eb266 Mon Sep 17 00:00:00 2001 From: Elenka^_^San <75818489+ElenkaSan@users.noreply.github.com> Date: Tue, 5 Aug 2025 19:15:37 -0400 Subject: [PATCH 5/5] Removed some extra tests --- .../tests/api_nodes/test_runway_text2image.py | 77 ------------------- 1 file changed, 77 deletions(-) delete mode 100644 ComfyUI/tests/api_nodes/test_runway_text2image.py diff --git a/ComfyUI/tests/api_nodes/test_runway_text2image.py b/ComfyUI/tests/api_nodes/test_runway_text2image.py deleted file mode 100644 index a8c46756..00000000 --- a/ComfyUI/tests/api_nodes/test_runway_text2image.py +++ /dev/null @@ -1,77 +0,0 @@ -import os -import pytest -import torch -import base64 -import io -import numpy as np -from unittest import mock -from PIL import Image -from comfy_api_nodes.nodes_runway import RunwayText2ImgNode -from ComfyUI.utils.json_util import merge_json_recursive - -@mock.patch("requests.post") -@mock.patch("requests.get") -def test_generate_success(mock_get, mock_post): - """Test full flow with mocked API.""" - node = RunwayText2ImgNode() - - # Fake "task created" response - mock_post.return_value.status_code = 200 - mock_post.return_value.json.return_value = {"id": "task123"} - - # Fake polling that returns successful status and output URL - mock_get.return_value.status_code = 200 - mock_get.return_value.json.return_value = { - "status": "SUCCEEDED", - "output": ["https://fake-image.com/image.png"] - } - - # Mock final image download - img = Image.new("RGB", (64, 64), color="blue") - img_buffer = io.BytesIO() - img.save(img_buffer, format="PNG") - mock_image_bytes = img_buffer.getvalue() - - with mock.patch("requests.get") as mock_download: - mock_download.return_value.status_code = 200 - mock_download.return_value.content = mock_image_bytes - - os.environ["RUNWAY_API_KEY"] = "fake_key" - result = node.generate(prompt="Test", ratio="1:1", timeout=10) - - assert isinstance(result, tuple) - assert isinstance(result[0], torch.Tensor) - assert result[0].shape[1] == 3 # Channels - -def test_api_key_missing(): - """Should raise ValueError if RUNWAY_API_KEY is not set.""" - node = RunwayText2ImgNode() - if "RUNWAY_API_KEY" in os.environ: - del os.environ["RUNWAY_API_KEY"] - - with pytest.raises(ValueError) as exc_info: - node.generate(prompt="Test", ratio="1:1") - - assert "RUNWAY_API_KEY environment variable is missing" in str(exc_info.value) - -def test_empty_prompt_raises(): - node = RunwayText2ImgNode() - os.environ["RUNWAY_API_KEY"] = "fake_key" - - with pytest.raises(ValueError) as exc_info: - node.generate(prompt=" ", ratio="1:1") - - assert "Prompt cannot be empty" in str(exc_info.value) - -@mock.patch("requests.post") -def test_http_401(mock_post): - node = RunwayText2ImgNode() - os.environ["RUNWAY_API_KEY"] = "fake_key" - - mock_post.return_value.status_code = 401 - mock_post.return_value.raise_for_status.side_effect = requests.exceptions.HTTPError("401 Unauthorized") - - with pytest.raises(PermissionError) as exc_info: - node.generate(prompt="A dog flying", ratio="1:1") - - assert "Invalid API key" in str(exc_info.value)