Metafilm`s CATEGORICALINDEX 》
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.
▍RedCraft 红潮 ⌝ ▍Dark Beast 黑兽 ⌝ ▍FineView 欢视 ⌝
▍GGUF/BF16 for Local Multimodal ENV
Drama Story2 on Krea 2 Turbo https://civarchive.com/models/452459/?modelVersionId=3393223 GGUF Q8
REDGPT for realistic drama stills https://civarchive.com/models/452459/?modelVersionId=3131246 GGUF Q8
Krea 2 mix from the 赤佬3 https://civarchive.com/models/958009/?modelVersionId=3139241 Q4KM
K2T BUZZDEAL build for commercial https://civarchive.com/models/958009/?modelVersionId=3331574 Q4KM
REDQW21 Turbo texture-fixed https://civarchive.com/models/3003597 BF16
REF2i Hyper photographic https://civarchive.com/models/3015888 BF16
K2T for colorful youth https://civarchive.com/models/2242173/?modelVersionId=3365025 Q4KM
FLUX.1 Fill inpainting https://civarchive.com/models/958009/?modelVersionId=1445047 Q4KM
De-distilled Flux.1 with Aesthetic https://civarchive.com/models/958009/?modelVersionId=1387169 Q4KM
Krea 2 hardcore Dark Beast 3 edition https://civarchive.com/models/2242173/?modelVersionId=3173268 BF16
ZImage Turbo hardcore https://civarchive.com/models/2242173/?modelVersionId=2699886 FP32/BF16
SDXL 1.0 entry in the Dark Beast https://civarchive.com/models/2242173/?modelVersionId=2712294 FP32/BF16
Retro SD 1.5 HD rebuild https://civarchive.com/models/958009/?modelVersionId=1298797 FP32/BF16
OpenMOSS MOSS-Image https://civarchive.com/models/3007993/?modelVersionId=3436921 BF16
MOSS 4 fêtesnap NSFH https://civarchive.com/models/3007993/?modelVersionId=3448658 BF16
Paid MiniMax H3 director package https://civarchive.com/models/1295569/?modelVersionId=3375757 BF16









做好工具人 服务艺术家
QW21-Turbo-0.1 by Viggle
Steps 4-16 CFG=1 T2i/i2i
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 purposes
The demo images uses both Viggle/Qwen-Image-2.1-viggle-turbo and REDQW21 UNLOCKED LoRA simultaneously
Built with Qwen, Applicable 截止 Qwen-Image-2.1
Viggle/Qwen-Image-2.1-viggle-turbo source repo:
https://huggingface.co/Viggle/Qwen-Image-2.1-viggle-turbo
All credit belongs to the original model author. License is the same as the original model.
Model: Viggle/Qwen-Image-2.1-viggle-turbo · Built with Qwen — distilled from Qwen/Qwen-Image-2.1, which is released under the Qwen RESEARCH LICENSE AGREEMENT (non-commercial: research or evaluation purposes only).
Built with Qwen. A 4-step distilled student of Qwen/Qwen-Image-2.1, 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:
transformer/— full fine-tuned transformer (bf16, 14.2 GB). Replaces the base transformer; exact, no adapter. This is what the demo Space runs by default and the one we currently recommend — in our qualitative comparison it edits more faithfully than the LoRA.Qwen-Image-2.1-viggle-turbo-4step-lora-r64.safetensors— LoRA adapter (rank 64, 340 MB) loaded on top of the base transformer at runtime. Smaller download, slightly weaker.
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.
Minimax-H3-Turbo by LightX2V
Minimax-H3-Turbo provides batch MiniMax-H3 inference and NFE/LoRA comparisons.

Repos
Kijai/MiniMax-H3_comfy Minimax-H3-Turbo ComfyUI v0.1
lightx2v/Minimax-h3-Turbo Minimax-h3-Turbo Diffusers/ComfyUI v1.0
Note
Its current visual quality can be reviewed in the linked examples, and the image details still need improvement. An enhanced version is in development.
This Edition is compatible with the ComfyUI-pruned
MiniMax H3 FL2VA model(20B).
Roadmap
Improve the visual details and overall quality of FL2V Turbo.
Develop distillation based on Ref2V.
预览
https://huggingface.co/lightx2v/Minimax-h3-Turbo/discussions/2
Apache-2.0 license
Description
Minimax-H3-Turbo provides batch MiniMax-H3 inference and NFE/LoRA comparisons.
Note
v0.1 is a preview release. Its current visual quality can be reviewed in the linked examples, and the image details still need improvement. An enhanced version is in development.
This Edition is compatible with the ComfyUI-pruned MiniMax H3 FL2VA model(20B).
Roadmap
Improve the visual details and overall quality of FL2V Turbo.
Develop distillation based on Ref2V.
Preview
https://huggingface.co/lightx2v/Minimax-h3-Turbo/discussions/2
Apache-2.0 license
FAQ
Comments (6)
牛逼啊,我经常刷到你做的视频
I have a question, does this lora works with reference to video or only first and last frame video? If I have a turbo lora activated will it crash or will work together?
Heck yeah, 8 steps makes much more sense, 4 steps was just pushing the model way too hard.
very thx ,,4 sec of vid now i can generate in 4 min owesome
Details
Files
minimax_h3_fl2v_lightx2v_turbo_8step_v1.0_resized_avg_rank_24_bf16.safetensors
Mirrors
util_02_lightx2v_turbo_8step_fl2v.safetensors
minimax_h3_fl2v_lightx2v_turbo_8step_v1.0_resized_avg_rank_24_bf16.safetensors
minimax_h3_fl2v_lightx2v_turbo_4step_768p_rank31_bf16.safetensors
minimax_h3_fl2v_lightx2v_turbo_8step_rank24_bf16.safetensors
minimax_h3_ref2v_lightx2v_turbo_4step_rank20_bf16.safetensors
minimax_h3_fl2v_lightx2v_turbo_8step_v1.0_resized_avg_rank_24_bf16.safetensors
minimax_h3_fl2v_lightx2v_turbo_8step_v1.0_resized_avg_rank_24_bf16.safetensors
minimax_h3_fl2v_lightx2v_turbo_4step_768p_rank31_bf16.safetensors
minimax_h3_fl2v_lightx2v_turbo_8step_rank24_bf16.safetensors
minimax_h3_ref2v_lightx2v_turbo_4step_rank20_bf16.safetensors
minimax_h3_fl2v_lightx2v_turbo_8step_v1.0_resized_avg_rank_24_bf16.safetensors
minimax_h3_fl2v_lightx2v_turbo_8step_v1.0_resized_avg_rank_24_bf16.safetensors
minimax_h3_ref2v_lightx2v_turbo_4step_rank20_bf16.safetensors
Accelerator_LoRAs.safetensors
minimax_h3_fl2v_lightx2v_turbo_8step_v1.0_resized_avg_rank_24_bf16.safetensors
minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors
Mirrors
minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors
minimax_h3_fl2v_turbo_8step_comfyui_bf16.safetensors
minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors
minimax_h3_lightx2v_turbo_8step_v1.0.safetensors
minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors
minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors
minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors
minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors
minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors
minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors
minimax_h3_lightx2v_turbo_8step_v1.0.safetensors
minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors
minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors
minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors
minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors
minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors
minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors
minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors
minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors
minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors
SS_FaceSwap_MiniMax_H3_REF2VA.safetensors
minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors
minimax_h3_ref2v_turbo_4step_v0.1_comfyui_bf16.safetensors
minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors
minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors
minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors
minimax_h3_fl2v_lightx2v_turbo_4step_v1.0_768p_resized_avg_rank_31_bf16.safetensors
Mirrors
minimax_h3_fl2v_lightx2v_turbo_4step_v1.0_768p_resized_avg_rank_31_bf16.safetensors
minimax_h3_fl2v_lightx2v_turbo_4step_v1.0_768p_resized_avg_rank_31_bf16.safetensors
minimax_h3_fl2v_lightx2v_turbo_4step_v1.0_768p_resized_avg_rank_31_bf16.safetensors
minimax_h3_fl2v_lightx2v_turbo_4step_v1.0_768p_resized_avg_rank_31_bf16.safetensors
minimax_h3_fl2v_lightx2v_turbo_4step_v0.1_comfy_resized_avg_rank_21_bf16.safetensors
Mirrors
minimax_h3_fl2v_lightx2v_turbo_4step_v0.1_comfy_resized_avg_rank_21_bf16.safetensors
Minimax_H3_LightX2V_Turbo_4step_AiMetatron.safetensors
minimax_h3_fl2v_lightx2v_turbo_4step_rank21_bf16.safetensors
minimax_h3_fl2v_lightx2v_turbo_4step_v0.1_comfy_resized_avg_rank_21_bf16.safetensors
minimax_h3_fl2v_lightx2v_turbo_4step_v0.1_comfy_resized_avg_rank_21_bf16.safetensors
minimax_h3_fl2v_lightx2v_turbo_4step_rank21_bf16.safetensors
minimax_h3_fl2v_lightx2v_turbo_4step_v0.1_comfy_resized_avg_rank_21_bf16.safetensors
minimax_h3_fl2v_lightx2v_turbo_4step_v0.1_comfy_resized_avg_rank_21_bf16.safetensors
minimax_h3_fl2v_turbo_4step_v1.0_768p_comfyui_bf16.safetensors
Mirrors
minimax_h3_fl2v_turbo_4step_v1.0_768p_comfyui_bf16.safetensors
minimax_h3_fl2v_turbo_4step_v1.0_768p_comfyui_bf16.safetensors
minimax_h3_lightx2v_turbo_4step_v1.0.safetensors
minimax_h3_fl2v_turbo_4step_v1.0_768p_comfyui_bf16.safetensors
minimax_h3_lightx2v_turbo_4step_v1.0.safetensors
minimax_h3_fl2v_turbo_4step_v1.0_768p_comfyui_bf16.safetensors
minimax_h3_fl2v_turbo_4step_v1.0_768p_comfyui_bf16.safetensors
minimax_h3_fl2v_turbo_4step_v1.0_768p_comfyui_bf16.safetensors
minimax_h3_fl2v_turbo_4step_v1.0_768p_comfyui_bf16.safetensors
minimax_h3_fl2v_turbo_4step_v1.0_768p_comfyui_bf16.safetensors
minimax_h3_fl2v_turbo_4step_768p.safetensors
minimax_h3_fl2v_turbo_4step_v1.0_768p_comfyui_bf16.safetensors