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Changelog
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Last updated about 2 months ago
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Stable Diffusion web UI
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
A feature-rich command-line audio/video downloader
upcast_vae in SDXL-based pipelinesThanks to @naykun for the following PRs that improve Qwen-Image Edit:
This release comes packed with new image generation and editing pipelines, a new video pipeline, new training scripts, quality-of-life improvements, and much more. Read the rest of the release notes fully to not miss out on the fun stuff.
We welcomed new pipelines in this release:
This upda...
Wan VACE supports various generation techniques which achieve controllable video generation. It comes in two variants: a 1.3B model for fast iteration & prototyping, and a 14B for high quality generation. Some of the capabilities include:
Wan2.1 is a comprehensive and open suite of video foundation models that pushes the boundaries of video generation. The model release includes 4 different model variants and three different pipelines for Text to Video, Image to Video and Video to Video.
Wan-AI/Wan2.1-T2V-1.3B-DiffusersWan-AI/Wan2.1-T2V-14B-DiffusersThis patch release
unload_lora_weights for Flux ControlThis patch release fixes a few bugs related to the TorchAO Quantizer introduced in v0.32.0.
https://github.com/user-attachments/assets/34d5f7ca-8e33-4401-8109-5c245ce7595f
This release took a while, but it has many exciting updates. It contains several new pipelines for image and video generation, new quantization backends, and more.
Going forward, to provide more transparency to the community about ongoing developments and releases in Diffusers, we will be making use of a [roadma...