<h1 id="metafilms-categoricalindex">Metafilm`s <a target="_blank" rel="ugc" href="https://civarchive.com/articles/37334/metafilm-categoricalindex">CATEGORICALINDEX 》</a></h1>Grouped by base model, bases ordered by first production use (newest first); brands inside each base ordered by heat (total downloads); works inside each brand newest first. 282 works across 21 base models.Type tags: fine-tune / LoRA / 工作流 / ControlNet. Data collected 2026-10-23.<h3 id="redcraft-dark-beast-fineview-ggufbf16-for-local-multimodal-env">▍RedCraft 红潮<a target="_blank" rel="ugc" href="https://civarchive.com/models/958009"> ⌝</a> ▍Dark Beast 黑兽<a target="_blank" rel="ugc" href="https://civarchive.com/models/2242173"> ⌝</a> ▍FineView 欢视<a target="_blank" rel="ugc" href="https://civarchive.com/models/1295569"> ⌝</a>  ▍GGUF/BF16 for Local Multimodal ENV</h3>Drama Story2 on Krea 2 Turbo <a target="_blank" rel="ugc" href="https://civarchive.com/models/452459/?modelVersionId=3393223">https://civarchive.com/models/452459/?modelVersionId=3393223</a> GGUF Q8 REDGPT for realistic drama stills <a target="_blank" rel="ugc" href="https://civarchive.com/models/452459/?modelVersionId=3131246">https://civarchive.com/models/452459/?modelVersionId=3131246</a> GGUF Q8 Krea 2 mix from the 赤佬3 <a target="_blank" rel="ugc" href="https://civarchive.com/models/958009/?modelVersionId=3139241">https://civarchive.com/models/958009/?modelVersionId=3139241</a> Q4KM K2T BUZZDEAL build for commercial <a target="_blank" rel="ugc" href="https://civarchive.com/models/958009/redcraft-or?modelVersionId=3331574">https://civarchive.com/models/958009/?modelVersionId=3331574 </a>Q4KM REDQW21 Turbo texture-fixed <a target="_blank" rel="ugc" href="https://civarchive.com/models/3003597">https://civarchive.com/models/3003597</a> BF16 REF2i Hyper photographic <a target="_blank" rel="ugc" href="https://civarchive.com/models/3015888">https://civarchive.com/models/3015888</a> BF16 K2T for colorful youth <a target="_blank" rel="ugc" href="https://civarchive.com/models/2242173/?modelVersionId=3365025">https://civarchive.com/models/2242173/?modelVersionId=3365025</a> Q4KM FLUX.1 Fill inpainting <a target="_blank" rel="ugc" href="https://civarchive.com/models/958009/?modelVersionId=1445047">https://civarchive.com/models/958009/?modelVersionId=1445047</a> Q4KM De-distilled Flux.1 with Aesthetic <a target="_blank" rel="ugc" href="https://civarchive.com/models/958009/?modelVersionId=1387169">https://civarchive.com/models/958009/?modelVersionId=1387169</a> Q4KM Krea 2 hardcore Dark Beast 3 edition <a target="_blank" rel="ugc" href="https://civarchive.com/models/2242173/darkbeast-6x-or?modelVersionId=3173268">https://civarchive.com/models/2242173/?modelVersionId=3173268</a> BF16 ZImage Turbo hardcore <a target="_blank" rel="ugc" href="https://civarchive.com/models/2242173/?modelVersionId=2699886">https://civarchive.com/models/2242173/?modelVersionId=2699886</a> FP32/BF16 SDXL 1.0 entry in the Dark Beast <a target="_blank" rel="ugc" href="https://civarchive.com/models/2242173/?modelVersionId=2712294">https://civarchive.com/models/2242173/?modelVersionId=2712294</a><a target="_blank" rel="ugc" href="https://civarchive.com/models/2242173/?modelVersionId=2699886"> </a>FP32/BF16 Retro SD 1.5 HD rebuild <a target="_blank" rel="ugc" href="https://civarchive.com/models/958009/?modelVersionId=1298797">https://civarchive.com/models/958009/?modelVersionId=1298797</a><a target="_blank" rel="ugc" href="https://civarchive.com/models/2242173/?modelVersionId=2699886"> </a>FP32/BF16 OpenMOSS MOSS-Image <a target="_blank" rel="ugc" href="https://civarchive.com/models/3007993/?modelVersionId=3436921">https://civarchive.com/models/3007993/?modelVersionId=3436921</a> BF16 MOSS 4 fêtesnap NSFH <a target="_blank" rel="ugc" href="https://civarchive.com/models/3007993/?modelVersionId=3448658">https://civarchive.com/models/3007993/?modelVersionId=3448658</a> BF16 Paid MiniMax H3 director package <a target="_blank" rel="ugc" href="https://civarchive.com/models/1295569/?modelVersionId=3375757">https://civarchive.com/models/1295569/?modelVersionId=3375757</a> BF16<hr /><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/091ec2e7-0d68-4a05-9542-826fc10d098b/original=true/091ec2e7-0d68-4a05-9542-826fc10d098b.jpeg" /><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/6d807af6-d67c-47ea-ae79-258f87ca7692/original=true/6d807af6-d67c-47ea-ae79-258f87ca7692.jpeg" /><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/b316a658-759d-433d-bf2e-c6787e38a96b/original=true/b316a658-759d-433d-bf2e-c6787e38a96b.jpeg" /><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/cca97ffa-1b9f-4d5a-ad33-23baa1bfa782/original=true/cca97ffa-1b9f-4d5a-ad33-23baa1bfa782.jpeg" /><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/c3a105fb-82f4-48c8-a2c9-a9d71ca2747f/original=true/c3a105fb-82f4-48c8-a2c9-a9d71ca2747f.jpeg" /><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/a568ada7-4c79-4f16-9a92-8bcebd475865/original=true/a568ada7-4c79-4f16-9a92-8bcebd475865.jpeg" /><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/82237425-d800-45df-be51-615b73ce21f3/original=true/82237425-d800-45df-be51-615b73ce21f3.jpeg" /><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/81d230a1-7405-4d90-a9e0-3b8cf9f76fbc/original=true/81d230a1-7405-4d90-a9e0-3b8cf9f76fbc.jpeg" /><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/f5995963-2b92-429d-bb04-a9b90cc8a423/original=true/f5995963-2b92-429d-bb04-a9b90cc8a423.jpeg" /><hr />做好工具人 服务艺术家<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 截止 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>预览</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

(165.97 MB)is FsstVideo's Hunyuanvideo LoRAFastHunyuan LoRA is an Accelerator model. It can sample high quality videos with 6-10 diffusion steps. That brings around 8X speed up compared to the original HunyuanVideo with 50 steps.

Files with SHA256: 32097ae172ad8b81c54ba1d01957e75bcef0c41927e32758eb0643e38648f3f0