python run_stable_flow.py --hf_token ******************************************** --input_img_path inputs/bottle.jpg --prompts "A photo of a bottle" "A photo of a bottle next to an apple"
2025-05-06 15:14:04.850988: I tensorflow/core/util/port.cc:110] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-05-06 15:14:04.892322: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
/opt/conda/envs/py310/lib/python3.10/site-packages/pandas/core/computation/expressions.py:21: UserWarning: Pandas requires version '2.8.4' or newer of 'numexpr' (version '2.8.3' currently installed).
from pandas.core.computation.check import NUMEXPR_INSTALLED
Keyword arguments {'visualize_attention': False} are not expected by FluxPipeline and will be ignored.
Loading checkpoint shards: 100%|████████████████████████████████████████████████████████████████████████████| 2/2 [00:06<00:00, 3.22s/it]
Loading pipeline components...: 71%|██████████████████████████████████████████████████▋ | 5/7 [00:07<00:04, 2.38s/it]You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers
Loading checkpoint shards: 100%|████████████████████████████████████████████████████████████████████████████| 3/3 [00:12<00:00, 4.00s/it]
Loading pipeline components...: 100%|███████████████████████████████████████████████████████████████████████| 7/7 [00:20<00:00, 2.89s/it]
Traceback (most recent call last):
File "/ckptstorage/repo/CVEdit/stable-flow/run_stable_flow.py", line 125, in <module>
stable_flow.invert_and_save(prompts=stable_flow.args.prompts)
File "/opt/conda/envs/py310/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "/ckptstorage/repo/CVEdit/stable-flow/run_stable_flow.py", line 90, in invert_and_save
inverted_latent_list = self.pipe(
File "/opt/conda/envs/py310/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
TypeError: FluxPipeline.__call__() got an unexpected keyword argument 'invert_image'
