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πŸ€— Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.

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## JAX Integration This issue will be used as a tracker to integrate Stable Diffusion in JAX natively to `diffusers`. This will enable many cool use cases noteably running stable...

### Model/Pipeline/Scheduler description VQ-Diffusion is based on a VQ-VAE whose latent space is modeled by a conditional variant of the recently developed Denoising Diffusion Probabilistic Model (DDPM). It produces significantly...

New pipeline/model

### Describe the bug I can train without the prior preservation fine if I try to train with it I get β€œUNet2DConditionModel' object has no attribute 'enable_gradient_checkpointing'” I also get...

bug

In the latent diffusion paper authors mention that: "A notable advantage of this approach is that we need to train the universal autoencoding stage only once and can therefore reuse...

I followed Colab for training. May I know how to resume the training. Thanks and regards

Pretty much all code in https://github.com/huggingface/diffusers/blob/main/src/diffusers/models/resnet.py still corresponds to the copy-pasted version from the beginning. While weight names shouldn't be renamed, we should rename all single letter variables to more...

enhancement
good first issue

Signed-off-by: Ryan Russell This one has functional implications. @pcuenca -- I don't believe either of these `scripts` were doing what they were intended to do. - `create_ldm_bert_config()` -- Was calling...

In [#developers-corner](https://discord.com/channels/1002292111942635562/1011228667659178055/1016173296930271282) we have a request for cancellation support in the pipeline API. That could also be something to consider in the context of a more asynchronous API in general;...

good first issue
hacktoberfest

Note: This is still WIP So far I've added all the text and model utils to two separate files in the GradTTS pipeline folder. I've also added the `LinearAttention` function...

### Describe the bug `StableDiffusionPipeline::__call__` has some parameters annotated as `Optional` when they really aren't (i.e. they shouldn't be `None`) A potential fix would be to just remove the `Optional`...

bug