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  1. .gitattributes +0 -2
  2. EchoShot/Wan2_1-T2V-1-3B-EchoShot_fp16.safetensors +0 -3
  3. EchoShot/Wan2_1_EchoShot_1_3B_lora_rank_128_fp16.safetensors +0 -3
  4. FastWan/FastWan_T2V_14B_480p_lora_rank_128_bf16.safetensors +0 -3
  5. FastWan/FastWan_T2V_14B_480p_lora_rank_16_bf16.safetensors +0 -3
  6. FastWan/FastWan_T2V_14B_480p_lora_rank_64_bf16.safetensors +0 -3
  7. Lightx2v/README.md +0 -10
  8. Lightx2v/lightx2v_14B_T2V_cfg_step_distill_lora_adaptive_rank_quantile_0.15_bf16.safetensors +0 -3
  9. Lightx2v/lightx2v_I2V_14B_480p_cfg_step_distill_rank128_bf16.safetensors +0 -3
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  11. Lightx2v/lightx2v_I2V_14B_480p_cfg_step_distill_rank256_bf16.safetensors +0 -3
  12. Lightx2v/lightx2v_I2V_14B_480p_cfg_step_distill_rank32_bf16.safetensors +0 -3
  13. Lightx2v/lightx2v_I2V_14B_480p_cfg_step_distill_rank4_bf16.safetensors +0 -3
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  15. Lightx2v/lightx2v_I2V_14B_480p_cfg_step_distill_rank8_bf16.safetensors +0 -3
  16. Lightx2v/lightx2v_T2V_14B_cfg_step_distill_v2_lora_rank128_bf16.safetensors +0 -3
  17. Lightx2v/lightx2v_T2V_14B_cfg_step_distill_v2_lora_rank16_bf16.safetensors +0 -3
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  20. Lightx2v/lightx2v_T2V_14B_cfg_step_distill_v2_lora_rank4_bf16.safetensors +0 -3
  21. Lightx2v/lightx2v_T2V_14B_cfg_step_distill_v2_lora_rank64_bf16.safetensors +0 -3
  22. Lightx2v/lightx2v_T2V_14B_cfg_step_distill_v2_lora_rank8_bf16.safetensors +0 -3
  23. Lightx2v/lightx2v_lora_rank_comparison.mp4 +0 -3
  24. Phantom-Wan-14B_fp16.safetensors +0 -3
  25. Phantom-Wan-14B_fp8_e4m3fn.safetensors +0 -3
  26. Pusa/Wan21_PusaV1_LoRA_14B_rank512_bf16.safetensors +0 -3
  27. README.md +2 -56
  28. Fun/Wan2.1-Fun-Control-14B_fp8_e4m3fn.safetensors → Wan2.1-Fun-Control-14B_fp8_e4m3fn.safetensors +0 -0
  29. Fun/Wan2.1-Fun-Control-14B_fp8_e5m2.safetensors → Wan2.1-Fun-Control-14B_fp8_e5m2.safetensors +0 -0
  30. Fun/Wan2.1-Fun-InP-14B_fp8_e4m3fn.safetensors → Wan2.1-Fun-InP-14B_fp8_e4m3fn.safetensors +0 -0
  31. Fun/Wan2.1-Fun-InP-14B_fp8_e5m2.safetensors → Wan2.1-Fun-InP-14B_fp8_e5m2.safetensors +0 -0
  32. Wan21_AccVid_I2V_480P_14B_lora_rank32_fp16.safetensors +0 -3
  33. Wan21_AccVid_T2V_14B_lora_rank32_fp16.safetensors +0 -3
  34. Wan21_CausVid_14B_T2V_lora_rank32.safetensors +0 -3
  35. Wan21_CausVid_14B_T2V_lora_rank32_v1_5_no_first_block.safetensors +0 -3
  36. Wan21_CausVid_14B_T2V_lora_rank32_v2.safetensors +0 -3
  37. Wan21_CausVid_bidirect2_T2V_1_3B_lora_rank32.safetensors +0 -3
  38. Wan21_T2V_14B_MoviiGen_lora_rank32_fp16.safetensors +0 -3
  39. Wan21_T2V_14B_lightx2v_cfg_step_distill_lora_rank32.safetensors +0 -3
  40. Wan21_Uni3C_controlnet_fp16.safetensors +0 -3
  41. Wan2_1-AccVideo-T2V-14B_fp8_e4m3fn.safetensors +0 -3
  42. Wan2_1-Anisora-I2V-480P-14B_Q8_0.gguf +0 -3
  43. Wan2_1-Anisora-I2V-480P-14B_fp16.safetensors +0 -3
  44. Wan2_1-Anisora-I2V-480P-14B_fp8_e4m3fn.safetensors +0 -3
  45. Fun/Wan2_1-Fun-V1_1-14B-Control_fp8_e4m3fn.safetensors → Wan2_1-Fun-V1_1-14B-Control_fp8_e4m3fn.safetensors +0 -0
  46. Wan2_1-I2V-ATI-14B_fp16.safetensors +0 -3
  47. Wan2_1-I2V-ATI-14B_fp8_e4m3fn.safetensors +0 -3
  48. Wan2_1-I2V-ATI-14B_fp8_e5m2.safetensors +0 -3
  49. Wan2_1-MiniMaxRemover_1_3B_fp16.safetensors +0 -3
  50. Wan2_1-MoviiGen1_1_fp16.safetensors +0 -3
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README.md CHANGED
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1
- ---
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- base_model:
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- - Wan-AI/Wan2.1-VACE-14B
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- - Wan-AI/Wan2.1-VACE-1.3B
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- ---
6
  Combined and quantized models for WanVideo, originating from here:
7
 
8
  https://huggingface.co/Wan-AI/
9
 
10
- Can be used with: https://github.com/kijai/ComfyUI-WanVideoWrapper and ComfyUI native WanVideo nodes.
11
 
12
- Other model sources:
13
-
14
- TinyVAE from https://github.com/madebyollin/taehv
15
-
16
- SkyReels: https://huggingface.co/collections/Skywork/skyreels-v2-6801b1b93df627d441d0d0d9
17
-
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- WanVideoFun: https://huggingface.co/collections/alibaba-pai/wan21-fun-v11-680f514c89fe7b4df9d44f17
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-
20
- ---
21
-
22
- Lightx2v:
23
-
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- CausVid 14B: https://huggingface.co/lightx2v/Wan2.1-T2V-14B-CausVid
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-
26
- CFG and Step distill 14B: https://huggingface.co/lightx2v/Wan2.1-T2V-14B-StepDistill-CfgDistill
27
-
28
- ---
29
-
30
- CausVid 1.3B: https://huggingface.co/tianweiy/CausVid
31
-
32
- AccVideo: https://huggingface.co/aejion/AccVideo-WanX-T2V-14B
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-
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- Phantom: https://huggingface.co/bytedance-research/Phantom
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-
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- ATI: https://huggingface.co/bytedance-research/ATI
37
-
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- MiniMaxRemover: https://huggingface.co/zibojia/minimax-remover
39
-
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- MAGREF: https://huggingface.co/MAGREF-Video/MAGREF
41
-
42
- FantasyTalking: https://github.com/Fantasy-AMAP/fantasy-talking
43
-
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- MultiTalk: https://github.com/MeiGen-AI/MultiTalk
45
-
46
- Anisora: https://huggingface.co/IndexTeam/Index-anisora/tree/main/14B
47
-
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- Pusa: https://huggingface.co/RaphaelLiu/PusaV1/tree/main
49
-
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- FastVideo: https://huggingface.co/FastVideo
51
-
52
- EchoShot: https://github.com/D2I-ai/EchoShot
53
-
54
- ---
55
- CausVid LoRAs are experimental extractions from the CausVid finetunes, the aim with them is to benefit from the distillation in CausVid, rather than any actual causal inference.
56
- ---
57
- v1 = direct extraction, has adverse effects on motion and introduces flashing artifact at full strength.
58
-
59
- v1.5 = same as above, but without the first block which fixes the flashing at full strength.
60
-
61
- v2 = further pruned version with only attention layers and no first block, fixes flashing and retains motion better, needs more steps and can also benefit from cfg.
 
 
 
 
 
 
1
  Combined and quantized models for WanVideo, originating from here:
2
 
3
  https://huggingface.co/Wan-AI/
4
 
5
+ Can be used with: https://github.com/kijai/ComfyUI-WanVideoWrapper
6
 
7
+ TinyVAE from https://github.com/madebyollin/taehv
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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