Diffusers

Headlines · 5

1. 3d
   OpenMOSS Releases MOSS-Image for Long Text and Structured Layouts

   OpenMOSS, a team involving Fudan NLP and Shanghai Chuangzhi, released the open-source MOSS-Image image-generation model. Its 5B-parameter single-stream DiT backbone reportedly supports prompts of up to about 4K tokens, Chinese and English long-text rendering, and editable JSON layouts. Base and SFT weights are available under Apache-2.0, with integrations for Diffusers, Gradio, and ComfyUI. The model uses an external prompt-enhancement planner and cannot directly accept reference images or perform native image editing.

   AIbase AI新闻 · 🔥 0
2. 6d
   MiniMax Music 3 Brings Open-Weight Five-Minute Song Generation

   MiniMax released MiniMax Music 3, an open-weight text-to-music model that accepts lyrics and detailed musical descriptions to generate complete songs of up to five minutes, according to the MiniMaxAI model card. The architecture combines an 8B Global LLM, a 0.6B Local LLM, and continuous hidden-state synthesis using Flow Matching and Flow-VAE to produce 32 kHz, 16-bit stereo WAV audio. The model is available through Diffusers and supports SGLang-Omni inference.

   MiniMax · Hugging Face · 🔥 0
3. Oct 20
   Google and Meta Open-Source TorchTPU for PyTorch on TPUs

   Google and Meta’s PyTorch team released TorchTPU as an open-source native backend for running PyTorch workloads on Google Cloud TPUs. It supports standard PyTorch APIs, eager-mode debugging and torch.compile optimization, with integrations spanning Hugging Face Transformers and Diffusers, vLLM, SGLang, llm-d, TorchTitan and LiteRT. Google says its training setup was validated on up to 8,000 Ironwood TPUs and achieved as much as 52% model FLOPS utilization with Qwen3-8B; these figures are vendor claims.

   Hugging Face · 🔥 0
4. Oct 15
   Black Forest Labs releases 5.6B open-weights FLUX 3 Image Klein image model

   Black Forest Labs released FLUX 3 Image Klein, a 5.6-billion-parameter open-weights image model, on October 15, 2026, with day-one support in Diffusers and ComfyUI. It handles text-to-image, single- and multi-reference editing with up to 10 reference images, native 4K output, text rendering and bounding-box layout control, and uses Qwen3-VL-4B-Instruct as its text encoder. It ships as Base (undistilled, for fine-tuning) and Distilled (lower-latency) checkpoints, and an INT8 build runs on NVIDIA GPUs with 8 GB of VRAM, generating a 1MP image in under 9 seconds on an RTX 4070; weights use the FLUX Kommunity License, free for commercial use by companies under $5 million annual revenue, and Black Forest Labs says internal testing puts it above Ideogram V4.5, FLUX.2 [pro] and Qwen-Image 2.1 in Elo.

   Hugging Face · 🔥 0
5. Oct 9
   Qwen releases Qwen-Image-2.1-Turbo open weights and launches Pro/Turbo APIs

   Qwen released Qwen-Image-2.1-Turbo, an accelerated checkpoint of Qwen-Image-2.1 that keeps the same 7B visual generation architecture while cutting text-to-image generation and image editing to 8 denoising steps, and it loads through the QwenImage21Pipeline in Diffusers. The model card says the checkpoint ships with its recommended sampling schedule, defaults to CFG=1 and uses prefix KV caching to reuse text and reference-image context across steps. On October 11, the Qwen AI platform launched APIs for Qwen-Image-2.1 Pro and Turbo; IT之家 reported that developers can add generation and editing to apps without deploying or managing inference infrastructure, with support for up to 10 reference images and region control via lasso, brush and independent masks.

   Qwen · Hugging Face · 🔥 0

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