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

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Self explanatory title. The latest nightly version has improved my inference speeds considerably and I know others who use it as well but currently it fails to import because import_utils.py...

##### Scoping - [x] Scope prior Transformer - [x] Scope decoder Unet - [x] Scope super resolution 64->256 Unet - [x] Scope super resolution 256 ->1024 Unet - [x] Scope...

Re-implemented #1236 a bit differently after a suggestion from @patrickvonplaten . Now the original DDIMScheduler is untouched but a new class is introduced with extra featuers (see below) and DDIMPipeline...

### Describe the bug Hi, I tried ONNX Runtime for inference. The code is, `from diffusers import StableDiffusionOnnxPipeline pipe = StableDiffusionOnnxPipeline.from_pretrained( "CompVis/stable-diffusion-v1-4", revision="onnx", provider="CPUExecutionProvider", use_auth_token=True, ) prompt = "a photo...

bug

This issue is just used to collect PRs, issues, progress on 2nd order schedulers for Stable Diffusion as the community has asked a lot about this. We'll try to allocate...

I have added AudioDiffusionPipeline and LatentAudioDiffusionPipeline which I intend to migrate from https://github.com/teticio/audio-diffusion. I have added them to the main src as opposed to the community pipelines due to the...

**What API design would you like to have changed or added to the library? Why?** custom pipelines is available through the master `from_pretrained()` method, but do not work for other...

stale

### Describe the bug mps doesn't support float64. my hacky solution was manually setting timesteps to torch.float32 (line 277) ``` # 1. time timesteps = timestep if not torch.is_tensor(timesteps): #...

Implemented optional scale and shift (instead of currently only shift) based on timestep embedding, similarly to OpenAI's improved diffusion code. However, it is currently not being used and I would...