
Wan-Dancer GGUF
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Wan-Dancer is an AI model designed for music-to-dance video generation. By simply uploading a reference photo of a person and an audio track—along with selecting a dance style (such as K-Pop, Street Dance, Classical, or Latin)—the model automatically animates the character into a high-definition, minute-long dance video that stays perfectly synchronized with the rhythm and mood of the music.
| Name | Size | Target Dir |
|---|
| wan_2.1_vae.safetensors | 254 MB | vae |
| wan2.2_vae.safetensors | 1.41 GB | vae |
| Wan2_1_VAE_bf16.safetensors | 254 MB | vae |
| Wan2_1_VAE_fp32.safetensors | 508 MB | vae |
| Name | Size | Target Dir |
|---|
| Wan-Dancer-14B-Global-Q3_K_M-native.gguf | 9.79 GB | unet |
| Wan-Dancer-14B-Local-Q3_K_M-native.gguf | 9.79 GB | unet |
| Wan-Dancer-14B-Global-Q4_K_S-native.gguf | 11.64 GB | unet |
| Wan-Dancer-14B-Local-Q4_K_S-native.gguf | 11.64 GB | unet |
| Wan-Dancer-14B-Global-Q4_K_M-native.gguf | 12.55 GB | unet |
| Wan-Dancer-14B-Local-Q4_K_M-native.gguf | 12.55 GB | unet |
| Wan-Dancer-14B-Global-Q5_K_M-native.gguf | 13.95 GB | unet |
| Wan-Dancer-14B-Local-Q5_K_M-native.gguf | 13.95 GB | unet |
| Wan-Dancer-14B-Global-Q6_K-native.gguf | 15.44 GB | unet |
| Wan-Dancer-14B-Local-Q6_K-native.gguf | 15.44 GB | unet |
| Name | Size | Target Dir |
|---|
| lightx2v_I2V_14B_480p_cfg_step_distill_rank4_bf16.safetensors | 54.41 MB | loras |
| lightx2v_I2V_14B_480p_cfg_step_distill_rank8_bf16.safetensors | 99.98 MB | loras |
| lightx2v_I2V_14B_480p_cfg_step_distill_rank16_bf16.safetensors | 191.13 MB | loras |
| lightx2v_I2V_14B_480p_cfg_step_distill_rank32_bf16.safetensors | 373.42 MB | loras |
| lightx2v_I2V_14B_480p_cfg_step_distill_rank64_bf16.safetensors | 738.01 MB | loras |
| lightx2v_I2V_14B_480p_cfg_step_distill_rank128_bf16.safetensors | 1.47 GB | loras |
| lightx2v_I2V_14B_480p_cfg_step_distill_rank256_bf16.safetensors | 2.92 GB | loras |
| Name | Size | Target Dir |
|---|
| umt5_xxl_fp8_e4m3fn_scaled.safetensors | 6.74 GB | text_encoders |
| umt5_xxl_fp16.safetensors | 11.4 GB | text_encoders |
| Name | Size | Target Dir |
|---|
| clip_vision_h.safetensors | 1.26 GB | clip_vision |