kousw / experimental-consistory Goto Github PK
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License: MIT License
Thanks a lot for your excellent implementation of ConsiStory. It helps a lot.
I wonder how can I do multi-subject generation with this repo. Do you have time to implement and provide some examples? Thanks in advance.
When I run this script python inference_consistory.py --guidance_scale 1.0 --num_inference_steps 10 --keywords "1girl" --prompt "1girl, best quality, ultra detailed, sitting on the beach" "1girl, best quality, ultra detailed, resting on the wood" "1girl, best quality, ultra detailed, shoot guns and run the battlefield"
,
the generated result is like this:
models:
models--runwayml--stable-diffusion-v1-5
latent-consistency-lcm-lora-sdv1-5
stabilityai/stable-diffusion-2-1
Any workaround to use guidance scale > 1.0. The code seems to break when guidance scale of > 1.0 is used.
Is using the default models/aom3 working ? I get the following error:
Repository Not Found for url: https://huggingface.co/models/aom3/resolve/main/scheduler/scheduler_config.json.
Please make sure you specified the correct `repo_id` and `repo_type`.
If you are trying to access a private or gated repo, make sure you are authenticated.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "inference_consistory.py", line 606, in <module>
pre_generate_images_for_dift(args)
File "inference_consistory.py", line 62, in pre_generate_images_for_dift
noise_scheduler = DDPMScheduler.from_pretrained(args.model_name_or_path, subfolder="scheduler", cache_dir = CACHE_DIR)
File "/usr/local/lib/python3.8/dist-packages/diffusers/schedulers/scheduling_utils.py", line 140, in from_pretrained
config, kwargs, commit_hash = cls.load_config(
File "/usr/local/lib/python3.8/dist-packages/diffusers/configuration_utils.py", line 385, in load_config
raise EnvironmentError(
OSError: models/aom3 is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models'
If this is a private repository, make sure to pass a token having permission to this repo with `use_auth_token` or log in with `huggingface-cli login`.
Could you kindly help me out ?
Your work help me! about your dreamtuner and this consistory
Thank you for releasing the unofficial codebase of consistory. It is really a wonderful work with lot of insights into using cross attention across frames. I was wondering what would be the license for this work. We would like to suggest MIT license if possible.
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