<h1 id="qw21-turbo-0.1-by-viggle">QW21-Turbo-0.1 by <a target="_blank" rel="ugc" href="https://viggle.ai/">Viggle</a></h1><h3 id="steps-4-16-cfg1-t2ii2i">Steps 4-16 CFG=1 T2i/i2i</h3>演示图片同时使用了 Viggle/Qwen-Image-2.1-viggle-turbo 和 REDQW21 UNLOCKED LoRA (with NV DLSS_NR) 仅作为[ 研究或评估 ]用途内使用 / only for the research or evaluation purposesThe demo images uses both Viggle/Qwen-Image-2.1-viggle-turbo and REDQW21 UNLOCKED LoRA simultaneously Built with Qwen, Applicable to Qwen-Image-2.1Viggle/Qwen-Image-2.1-viggle-turbo source repo: <a target="_blank" rel="ugc" href="https://huggingface.co/Viggle/Qwen-Image-2.1-viggle-turbo">https://huggingface.co/Viggle/Qwen-Image-2.1-viggle-turbo</a>All credit belongs to the original model author. License is the same as the original model.Model: <a target="_blank" rel="ugc" href="https://huggingface.co/Viggle/Qwen-Image-2.1-viggle-turbo">Viggle/Qwen-Image-2.1-viggle-turbo</a> · Built with Qwen — distilled from <a target="_blank" rel="ugc" href="https://huggingface.co/Qwen/Qwen-Image-2.1">Qwen/Qwen-Image-2.1</a>, which is released under the <a target="_blank" rel="ugc" href="https://huggingface.co/Qwen/Qwen-Image-2.1/blob/main/LICENSE">Qwen RESEARCH LICENSE AGREEMENT</a> (non-commercial: research or evaluation purposes only).Built with Qwen. A 4-step distilled student of <a target="_blank" rel="ugc" href="https://huggingface.co/Qwen/Qwen-Image-2.1">Qwen/Qwen-Image-2.1</a>, trained by Viggle with Distribution Matching Distillation. It does both text-to-image and instruction-driven editing with 1–3 reference images in 4 transformer passes instead of 40, with no classifier-free guidance.Two students are shipped — pick one:<ul><li><code>transformer/</code> — full fine-tuned transformer (bf16, 14.2 GB). Replaces the base transformer; exact, no adapter. This is what the <a target="_blank" rel="ugc" href="https://huggingface.co/spaces/Viggle/Qwen-Image-2.1-viggle-turbo">demo Space</a> runs by default and the one we currently recommend — in our qualitative comparison it edits more faithfully than the LoRA.</li><li><code>Qwen-Image-2.1-viggle-turbo-4step-lora-r64.safetensors</code> — LoRA adapter (rank 64, 340 MB) loaded on top of the base transformer at runtime. Smaller download, slightly weaker.</li></ul>Status: v0.1 preview, work in progress — this release still falls short of the base model. On complicated image editing (multi-reference composition, face swaps, identity-preserving edits, instructions with several constraints) it is clearly worse than the 40-step base model. Text-to-image at 4 steps is usable. We are still working on it and will update this repository as the distillation improves; treat the current weights as a preview, not a replacement for the base model.<hr /><h1 id="minimax-h3-turbo-by-lightx2v"><a target="_blank" rel="ugc" href="https://github.com/ModelTC/Minimax-H3-Turbo">Minimax-H3-Turbo by LightX2V</a></h1>Minimax-H3-Turbo provides batch MiniMax-H3 inference and NFE/LoRA comparisons.<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/85a4f8c1-9688-4bd7-ac02-0bb3af81bdf7/original=true/85a4f8c1-9688-4bd7-ac02-0bb3af81bdf7.jpeg" /><h2 id="repos">Repos</h2>Kijai/MiniMax-H3_comfy <a target="_blank" rel="ugc" href="https://huggingface.co/Kijai/MiniMax-H3_comfy/tree/main/loras">Minimax-H3-Turbo ComfyUI v0.1</a>lightx2v/Minimax-h3-Turbo <a target="_blank" rel="ugc" href="https://huggingface.co/lightx2v/Minimax-h3-Turbo/tree/main">Minimax-h3-Turbo Diffusers/ComfyUI v1.0</a><h2 id="note">Note</h2>Its current visual quality can be reviewed in the linked examples, and the image details still need improvement. An enhanced version is in development.<h3 id="this-edition-is-compatible-with-the-comfyui-pruned">This Edition is compatible with the ComfyUI-pruned</h3><h3 id="minimax-h3-fl2va-model20b.">MiniMax H3 FL2VA model（20B）.</h3><h2 id="roadmap">Roadmap</h2><ol><li>Improve the visual details and overall quality of FL2V Turbo.</li><li>Develop distillation based on Ref2V.</li></ol><h2 id="preview">Preview</h2><a target="_blank" rel="ugc" href="https://huggingface.co/lightx2v/Minimax-h3-Turbo/discussions/2">https://huggingface.co/lightx2v/Minimax-h3-Turbo/discussions/2</a>Apache-2.0 license

[ Accelerator LoRAs ] Applicable to QW21 | Minimax H3 | HYVideo TURBO/LIGHTNING/DMD/FAST

Reposting from <a target="_blank" rel="ugc" href="https://huggingface.co/Viggle/Qwen-Image-2.1-viggle-turbo">https://huggingface.co/Viggle/Qwen-Image-2.1-viggle-turbo</a>All credit belongs to the original model author. License is the same as the original model.Model: <a target="_blank" rel="ugc" href="https://huggingface.co/Viggle/Qwen-Image-2.1-viggle-turbo">Viggle/Qwen-Image-2.1-viggle-turbo</a> · Built with Qwen — distilled from <a target="_blank" rel="ugc" href="https://huggingface.co/Qwen/Qwen-Image-2.1">Qwen/Qwen-Image-2.1</a>, which is released under the <a target="_blank" rel="ugc" href="https://huggingface.co/Qwen/Qwen-Image-2.1/blob/main/LICENSE">Qwen RESEARCH LICENSE AGREEMENT</a> (non-commercial: research or evaluation purposes only).Built with Qwen. A 4-step distilled student of <a target="_blank" rel="ugc" href="https://huggingface.co/Qwen/Qwen-Image-2.1">Qwen/Qwen-Image-2.1</a>, trained by Viggle with Distribution Matching Distillation. It does both text-to-image and instruction-driven editing with 1–3 reference images in 4 transformer passes instead of 40, with no classifier-free guidance.Two students are shipped — pick one:<ul><li><code>transformer/</code> — full fine-tuned transformer (bf16, 14.2 GB). Replaces the base transformer; exact, no adapter. This is what the <a target="_blank" rel="ugc" href="https://huggingface.co/spaces/Viggle/Qwen-Image-2.1-viggle-turbo">demo Space</a> runs by default and the one we currently recommend — in our qualitative comparison it edits more faithfully than the LoRA.</li><li><code>Qwen-Image-2.1-viggle-turbo-4step-lora-r64.safetensors</code> — LoRA adapter (rank 64, 340 MB) loaded on top of the base transformer at runtime. Smaller download, slightly weaker.</li></ul>Status: v0.1 preview, work in progress — this release still falls short of the base model. On complicated image editing (multi-reference composition, face swaps, identity-preserving edits, instructions with several constraints) it is clearly worse than the 40-step base model. Text-to-image at 4 steps is usable. We are still working on it and will update this repository as the distillation improves; treat the current weights as a preview, not a replacement for the base model.

Files with SHA256: 2a0148f5c73abbed5f97da5ea356e439318aadb281d01fce4af39cdf43728803