BFS is a collection of LoRAs for face, head, and body replacement across Qwen Image 2.1, Qwen Image Edit 2509/2511, Flux 2 Klein, Krea 2, and experimental LTX-2 workflows. Each release has its own base-model, input-order, prompt, and workflow contract. Use the guide for the exact version you are loading. - BFS Head V1 / V1.1 for Qwen Image 2.1 - BFS Body Swap V1.0 for Qwen Image 2.1 - Qwen Image Edit 2509/2511 - Flux 2 Klein - Krea 2 - Experimental LTX-2 weights - Use the LoRA with its matching base model whenever possible. - Follow the input order in the version guide; several BFS head releases intentionally use body first and reference face second. - Start at LoRA strength `1.0`, then adjust for the base model, resolution, and reference image. - The examples and workflows in this repository are demonstrations, not a guarantee of identical results on every image. - Do not use or share results involving public figures or people who have not given consent.
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View details ↗基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗> **Heads up.** These LoRAs are research experiments. They are far from > production-ready and will fail on many inputs. They are released for the > community to play with and break, not as a finished tool. 0. **Edit Anything v2 for LTX-2.5** — the current one, a plain instruction-editing IC-LoRA. Start here. *(built on LTX-2.5 22B)* 1. **Edit Anything v0.1 — motion transfer LoRA** (two ranks). *(LTX-2.3)* 2. **Edit Anything — no-reference multitask LoRA** (rank 256, prompt-driven only). *(LTX-2.3)* 3. **Reference video-to-video (Ref V2V) — experimental IC-LoRA + sidecar modules** (two builds). *(LTX-2.3)* Tracks 1-3 are **LTX-2.3** and are kept for reference. Track 0 is **LTX-2.5** and is the one being worked on.
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View details ↗These LoRAs were extracted from **three sources**: - the original SRPO (Flux.1-Dev): tencent/SRPO - community checkpoint: rockerBOO/flux.1-dev-SRPO - community checkpoint (quantized/refined): wikeeyang/SRPO-Refine-Quantized-v1.0 They are designed to provide modular, lightweight adaptations you can mix with other LoRAs, reducing storage and enabling fast experimentation across ranks (8, 16, 32, 64, 128). Notes: - The Loras version for Nunchaku was converted using the official Nunchaku conversion tool but it is something experimental I still need to test and analyze the results, I do not recommend using it for now it is only for testing. - These loras allow you to use the quality of SRPO using the official flux dev as a base, without the need to use the base flux SRPO, that is, in my opinion, it is not very advantageous to use any of these loras + flux SRPO as a base, unless you want to apply the quality of, for example, SRPO RockerBOO in the base flux SRPO model. - The version I recommend is RockerBOO but I advise you to test the others, because the original version will give you different results than the other versions. - According to some reports it seems to work well with Flux Krea, the report was with rank 256, I haven't tested it yet to confirm.
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View details ↗These LoRAs may cover different use cases over time, so this repository is not limited to inpainting only. These inpainting LoRAs were trained with a specific guide and mask setup, so input preparation during inference is important. After that, you need to use the **`LTXVAddGuideMulti`** node to pass the guide video into the model.
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View details ↗Experimental LoRAs for MiniMax H3, packaged for ComfyUI and tested mainly with the `ref2va` weights. These are research models, not finished tools. Results vary substantially with the source clip, resolution, prompt and reference images. **Training adapter V2.** The Motion Transfer LoRAs were trained on top of ostris' training adapter V2 (`minimax_h3_ref2va_training_adapter_v2.safetensors`) kept frozen. They usually work without it, but loading the adapter first (strength 1) and the motion LoRA after it reproduces the training conditions; compare both on your clips.
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