<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

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.

Qwen-Image-2.1-viggle-turbo-v0.2.1-6step-lora-r128.safetensors

Qwen-Image-2.1-viggle-turbo-4step-lora-r64.safetensors

Qwen-Image-2.1-viggle-turbo-v0.2.1-6step-lora-r256.safetensors

TURBO(Viggle)QW21 v0.2.1

lightx2v / Minimax-h3 1.0

Llavallama3 FP8+VAE FP16

Hunyuan FASTVIDEO 2024

PrunaAI/isHeSatoshi turbo LoRAs can be used for editing/text-to-image Current Viggle turbo LoRAs can be used for text-to-image Current Best settings for Viggle/PrunaAI 4-step: er_sde/beta res_2s_ode/bong_tangent, 5-8 steps, cfg 1-2 (+ lenovo/zjourney refiner lora to remove some of the overbaked, high-contrast, yellow tint) isHeSatoshi 6-step: res_2s_ode/ManualSigmas(1.0, 0.9375, 0.875, 0.75, 0.5, 0.25, 0.0) All examples are generated with 1.0 strength I did not train, distill, or create the original Turbo LoRA weights. This model page provides only modified compatibility versions intended to let the remaining compatible LoRA adapters load with ComfyUI's built-in LoRA loader Full credit for the original Qwen-Image-2.1-viggle-turbo-4step-lora-r64.safetensors belongs to the <a target="_blank" rel="ugc" href="https://huggingface.co/Viggle">ViggleAI</a> Team. Full credit for the original p_qwen_image_2.1_5/8step_v0.1.safetensors belongs to the <a target="_blank" rel="ugc" href="https://huggingface.co/PrunaAI">PrunaAI</a> Team. Full credit for the original Qwen-Image-2.1-turbo-v0.2.1-6step-lora-r128s belongs to <a target="_blank" rel="ugc" href="https://huggingface.co/isHeSatoshi">isHeSatoshi</a>. Viggle statement for v0.1: "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." PrunAI statement for v0.1: "Pruna-Qwen-Image-2.1 is a set of LoRA adapters that let Qwen-Image-2.1 generate and edit images in only 5 or 8 steps. The adapters load on top of the base model, so the pipeline, text encoder, and VAE stay unchanged. Training is based on DMD. Improved using Qwen.v0.1: first release, work in progress. Pruna-Qwen-Image-2.1 does not yet match the visual quality of the base model. We are still improving the distillation and will update this repository as new versions become available."

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