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

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Hi, I guess that a reverse diffusion process can be performed fastly if an UNet implementation in this library can infer with [TensorRT](https://github.com/pytorch/TensorRT). Would you have the plan to implement...

One of the stated design decisions from the readme was to support arbitrary modalities, not just images. I'm in the process of trying to adapt the code for 1D vectors...

We're discussing where certain properties should be saved in this repository. For example, [this `predict_epsilon`](https://github.com/huggingface/diffusers/blob/320506c75ad7d40c7d9fc6db5a45955906c5f729/src/diffusers/schedulers/scheduling_ddpm.py#L125) property is used to distinguish if a model is trained to directly reconstruct the original...

testing things live, don't merge

### Describe the bug running pytest if I suppress test_attention_block_default, two additional unet tests pass ``` test_layers_utils.py ................. test_models_unet.py ...............FF..............F.........s....s.. vs test_layers_utils.py .............s... test_models_unet.py ...............................F.........s....s.. ``` can test by either...

bug

**Is your feature request related to a problem? Please describe.** I'd like to run inference with stable diffusion through an API request! **Describe the solution you'd like** Either an Inference...

stale

This PR adds `from_config` and `from_pretrained` dummy class methods to all dummy classes. Running: ``` pytest -sv tests/test_pipelines.py::PipelineFastTests::test_stable_diffusion_k_lms ``` without `scipy` installed now yields: ``` E ImportError: E LMSDiscreteScheduler requires...

### Describe the bug I'm able to run (seemingly) all text-to-image examples without any sort of issue, including [the one in the ReadMe](https://github.com/huggingface/diffusers#text-to-image-generation-with-stable-diffusion). Memory gets a bit tight, but stays...

bug

I tried to follow this guide: https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/stable_conceptualizer_inference.ipynb But OnnxRuntimeModel does not have any of the necessary functions that CLIPTextModel has and since I'm no dev I couldn't figure out how...

This PR implements absorbing diffusion, from the [Unleashing Transformers](https://github.com/samb-t/unleashing-transformers) paper. The model is a BERT-like Transformer encoder instead of a U-Net. No scheduler is added at the moment (as it's...