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

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[Following the Philosophy](https://github.com/huggingface/diffusers/issues/307), it has been decided to keep different pipelines for Stable Diffusion for txt-to-img, img-to-img and inpainting. Here is the result: * PR #549 : **code duplicated 4...

Although I'm trying my best to dive into the who PY scene I'm at a loss. Has anyone made a Webui for DB training on your local yet? If so,...

good first issue
help wanted

### Describe the bug I have some ckpt files and I converted them using this script, while using it, there was a warning: ``` Some weights of the model checkpoint...

bug

Related issue: [205](https://github.com/huggingface/diffusers/issues/205) Hello, this pull request is for adding the notebook stable_diffusion_walk to community examples. this notebook is designed to be run on google colab free version. this notebook...

I would like to use it to outpainting images, can you help me

**Is your feature request related to a problem? Please describe.** The loading of the samples is sequential and without prefetching n the `train_unconditional.py` script. This results in an underutilization of...

This uses https://github.com/marketplace/actions/junit-report-action so that the specifics of failed tests will be more visible in the GitHub UI, instead of just "process completed with exit code 1." - [ ]...

I trained a model in local PC following this instruction: diffusers\examples\textual_inversion\README.md The output of the self-trained model is a folder: ![Pasted Graphic 4](https://user-images.githubusercontent.com/49113/189517271-2f3196b2-b985-42b2-bed1-211ac2b46c17.png) I can use StableDiffusionPipeline.from_pretrained(“THE OUTPUT OF MODEL...

stale

### Describe the bug I have tried to run SD on 1024x1024 and 1664x1664x resolutions, but the result is that I get almost always repeated objects in the generated picture....

bug

### Describe the bug [Dreambooth training example](https://github.com/huggingface/diffusers/tree/main/examples/dreambooth) has a section about training on 16GB GPU. As Radeon Navi 21 series models all have 16GB available this in theory would increase...

stale