npx @buildinternet/releases get diffusers-releasesQwen-Image 2.1 unifies image generation and editing in one model with 7B visual generation parameters, multiple reference images, native RGBA transparency output, and LoRA training. ONNX support is deprecated in favor of Optimum, and previously deprecated LuminaText2ImgPipeline and Lumina2Text2ImgPipeline aliases were removed in favor of LuminaPipeline and Lumina2Pipeline.
New pipelines include MiniMax-H3 (video+audio), MiniMax Music 3, Stable Audio 3, LTX-2.5, Wan-Animate-2, and JoyAI-Image-Edit-Plus. Modular Diffusers is no longer experimental, and minimal tensor-parallel support is added.
Nine new pipelines are now available: Cosmos 3 (NVIDIA's unified world foundation model combining generation, reasoning, and action), Ideogram 4 (flow-matching text-to-image with asymmetric guidance), Krea 2 (single-stream MMDiT with Qwen3-VL encoding), DreamLite (ByteDance text-to-image and editing), PRX Pixel (pixel-space generation by Photoroom), Motif-Video (2B text-to-video and image-to-video), AnyFlow (any-step video diffusion from NVIDIA/NUS/MIT), JoyAI-Image-Edit (unified multimodal for editing with spatial control), and DiffusionGemma (block-diffusion language model). Additional enhancements across schedulers, training utilities, and core library components.
LLaDA2 is a family of discrete diffusion language models that generate text through block-wise iterative refinement. Instead of autoregressive token-by-token generation, LLaDA2 starts…
ModularPipelines with AutoModel type hints in their modular_model_index.json #13271torchvision import in Cosmos Predict 2.5 #13321Modular Diffusers introduces a new way to build diffusion pipelines by composing reusable blocks. Instead of writing entire pipelines from scratch, you can now mix and match building blocks to create custom workflows tailored to your specific needs! This…
The release features a number of new image and video pipelines, a new caching method, a new training script, new kernels - powered attention backends, and more. It is quite packed with a lot of new stuff, so make sure you read the release notes fully 🚀
Thanks 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…
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…
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,…
This patch release
This 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…
Stability AI’s latest text-to-image generation model is Stable Diffusion 3.5 Large. SD3.5 Large is the next iteration of Stable Diffusion 3. It comes…
This patch release adds Diffusers support for the upcoming CogVideoX-5B-I2V release (an Image-to-Video generation model)! The model weights will be available by end of the week on the HF Hub at THUDM/CogVideoX-5b-I2V (Link).…
This patch release adds diffusers support for the upcoming CogVideoX-5B release! The model weights will be available next week on the Huggingface Hub at THUDM/CogVideoX-5b. Stay tuned for the release!
Additionally, we have implemented VAE tiling feature,…
