Wan-AI/Wan2.2-TI2V-5B
35 derivatives checked
- unsloth/Wan2.2-TI2V-5B-GGUF: Full fine-tune
- QuantStack/Wan2.2-TI2V-5B-GGUF: Full fine-tune
- alibaba-pai/Wan2.2-Fun-5B-Control: Full fine-tune
- squirrelae/Wan2.2-TI2V-5B-GGUF: Full fine-tune
- alibaba-pai/Wan2.2-Fun-5B-InP: Full fine-tune
- Qualcomm-AI-Research/mobilewan: Different architecture
- cicada-ai/Chanjing-Avatar-V2V-5B: Adapter
- Anes1032/Wan2.2-TI2V-5B-mlx-q8: Quantization
- AlekseyCalvin/HSToric_Color_Wan2.2_5B_LoRA_BySilverAgePoets: Adapter
- DarthZhu/VideoRLVR-Wan2.2-Base: Full fine-tune
- suyehb/Wan2.2-TI2V-5B-GGUF: Full fine-tune
- MCG-NJU/UniAVGen: Full fine-tune (fewer layers)
- GD-ML/DreamX-World-5B: Full fine-tune
- yetter-ai/Wan2.2-TI2V-5B-Turbo-Diffusers: Different architecture
- alibaba-pai/Wan2.2-Fun-5B-Control-Camera: Full fine-tune
- acvlab/ABot-World-0-5B-LF: Full fine-tune
- JonneyWang/AnyID: Adapter
- Studytime171/Wan2.2-TI2V-5B-GGUF: Full fine-tune
- Efficient-Large-Model/LongLive-Plug-Wan2.2-TI2V-5B-few-step: Adapter
- dsfdsferw43/Wan2.2-TI2V-5B-GGUF: Full fine-tune
- jc-builds/Wan2.2-TI2V-5B-Turbo-iOS: Different architecture
- SceneWorks/wan2.2-ti2v-5b-mlx: Same weights, converted
- Astronex-Lab/Astronex-World: LoRA-style
- lerobot/fastwam_base: Different architecture
- liaqateagle/Wan2.2-TI2V-5B-GGUF: Full fine-tune
- jc-builds/Wan2.2-TI2V-5B-iOS: Different architecture
- ostris/wan22_5b_i2v_crush_it_lora: Adapter
- Efficient-Large-Model/LongLive-Plug-Wan2.2-TI2V-5B-cfg: Adapter
- JoaoZaokk/Wan2.2-TI2V-5B-W4A8-ConvRot: Same weights, converted
- JoseGomezFreelance/improved_dance_V2_soft_wan22_5b_JGF: Adapter
32 other repos hold byte-for-byte identical weight files.