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🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
# This PR fixes a minor spelling error in the logger object. The traceback is as follows: Traceback (most recent call last): File "/workspace/hbot-backend-anime/src/main.py", line 7, in from core import...
### Describe the bug AttributeError: 'Logger' object has no attribute 'warninging'. Did you mean: 'warning'? There is a spelling error in the logger object. ### Reproduction loading a model using...
# What does this PR do? Refer to https://github.com/huggingface/diffusers/pull/7988/#issuecomment-2120785867, thanks to @fabiorigano for the suggestion. Even though Fabio mentioned working on a PR for this, I had some free-time and...
In the dreambooth community, it has been empirically shown that extracting a LoRA results in better performance than directly training a LoRA. Enabling a full dreambooth finetune of SDXL would...
# What does this PR do? SD Cascade UNet is now tested in the the single file test module. We don't need to run these tests anymore. Fixes # (issue)...
# What does this PR do? The `embeddings.py` script is becoming long and bloated. This PR breaks the script meaningfully so that it can be supplemented as a module. 1....
# What does this PR do? "# copied from ..."s don't trigger the Copying Mechanism; thus they are capitalized. Also, decorators need to be at the top of "# Copied...
### Describe the bug When using the StableDiffusionDepth2ImgPipeline, I get ``RuntimeError: Input type (MPSFloatType) and weight type (MPSHalfType) should be the same`` if I'm using fp16 with MPS on my...
### Describe the bug train model with OneTrainer and Everydream2, both same error this one with onetrainer ``` Fetching 11 files: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 11/11 [00:00
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🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.