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Wan 2.1 I2V 14B 480P StepDistill CfgDistill Lightx2v

Wan2.1-I2V-14B-480P-StepDistill-CfgDistill-Lightx2v is an advanced image-to-video generation model built upon the Wan2.1-I2V-14B-480P foundation. This approach allows the model to generate videos with significantly...

TypeOtherModèle de baseWan-AI/Wan2.1-I2V-14B-480PVersionmain

Source du modèle

Type
Other
Taille du fichier
21,6 MB–6,27 GB
Modèle de base
Wan-AI/Wan2.1-I2V-14B-480P
Version
vmain
Mis à jour
28 sept. 2026
Téléchargements
0
Tâches
Image en vidéo
Source
Hugging Face

Extrait de la source

Wan2.1-I2V-14B-480P-StepDistill-CfgDistill-Lightx2v is an advanced image-to-video generation model built upon the Wan2.1-I2V-14B-480P foundation. This approach allows the model to generate videos with significantly...

Sources

1 source

Artefacts du modèle

64 artefacts

distill_fp8/block_0.safetensors

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distill_fp8/block_1.safetensors

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distill_fp8/block_10.safetensors

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distill_fp8/block_11.safetensors

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distill_fp8/block_12.safetensors

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distill_fp8/block_13.safetensors

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distill_fp8/block_15.safetensors

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distill_fp8/block_16.safetensors

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distill_fp8/block_17.safetensors

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distill_fp8/block_19.safetensors

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distill_fp8/block_2.safetensors

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distill_fp8/block_20.safetensors

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distill_fp8/block_21.safetensors

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distill_fp8/block_22.safetensors

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distill_fp8/block_23.safetensors

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distill_fp8/block_24.safetensors

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distill_fp8/block_25.safetensors

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distill_fp8/block_26.safetensors

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distill_fp8/block_27.safetensors

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distill_fp8/block_29.safetensors

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distill_fp8/block_3.safetensors

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distill_fp8/block_30.safetensors

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distill_fp8/block_31.safetensors

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distill_fp8/block_32.safetensors

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distill_fp8/block_33.safetensors

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distill_fp8/block_34.safetensors

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distill_fp8/block_35.safetensors

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distill_fp8/block_36.safetensors

safetensors · 386 MB · SHA-256 6496e46ed791…c7e2 · Hugging Face

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distill_fp8/block_37.safetensors

safetensors · 386 MB · SHA-256 b0e08d56b8cb…c1c1 · Hugging Face

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distill_fp8/block_38.safetensors

safetensors · 386 MB · SHA-256 fdeebb3c7c9d…1d46 · Hugging Face

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distill_fp8/block_39.safetensors

safetensors · 386 MB · SHA-256 01e5efb7f9eb…477a · Hugging Face

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distill_fp8/block_4.safetensors

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distill_fp8/block_5.safetensors

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distill_fp8/block_6.safetensors

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distill_fp8/block_7.safetensors

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distill_fp8/block_8.safetensors

safetensors · 386 MB · SHA-256 a0eed8055bbb…d6be · Hugging Face

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distill_fp8/block_9.safetensors

safetensors · 386 MB · SHA-256 eaf8fd7fe69c…47b6 · Hugging Face

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distill_fp8/clip-fp8.pth

pth · 607 MB · SHA-256 f20da116c0ee…d289 · Hugging Face

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distill_fp8/models_t5_umt5-xxl-enc-fp8.pth

pth · 6,27 GB · SHA-256 546b3b1c73d0…87f7 · Hugging Face

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distill_fp8/non_block.safetensors

safetensors · 921 MB · SHA-256 1610ac0ed513…077d · Hugging Face

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distill_fp8/taew2_1.pth

pth · 21,6 MB · SHA-256 f986092baa4a…a30c · Hugging Face

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distill_fp8/Wan2.1_VAE.pth

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distill_int8/block_0.safetensors

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distill_int8/block_1.safetensors

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distill_int8/block_10.safetensors

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distill_int8/block_11.safetensors

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distill_int8/block_12.safetensors

safetensors · 386 MB · SHA-256 c578677daf46…2bab · Hugging Face

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distill_int8/block_13.safetensors

safetensors · 386 MB · SHA-256 8362be2dcfe6…b0c4 · Hugging Face

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distill_int8/block_14.safetensors

safetensors · 386 MB · SHA-256 723e4ba04052…833b · Hugging Face

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distill_int8/block_15.safetensors

safetensors · 386 MB · SHA-256 c695defa122d…2182 · Hugging Face

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distill_int8/block_16.safetensors

safetensors · 386 MB · SHA-256 de4a63a4716f…25e6 · Hugging Face

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distill_int8/block_17.safetensors

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distill_int8/block_18.safetensors

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distill_int8/block_19.safetensors

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distill_int8/block_2.safetensors

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distill_int8/block_20.safetensors

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distill_int8/block_21.safetensors

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distill_int8/block_22.safetensors

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distill_int8/block_23.safetensors

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distill_int8/block_24.safetensors

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distill_int8/block_25.safetensors

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Extraits de sources

2 extraits

--- license: apache-2.0 language: - en - zh pipeline_tag: image-to-video tags: - video generation - diffusion-single-file - comfyui - distillation - LoRA library_name: diffusers inference: parameters: num_inference_steps: 4 base_model: - Wan-AI/Wan2.1-I2V-14B-480P --- # Wan2.1-I2V-14B-480P-StepDistill-CfgDistill-Lightx2v <p align="center"> <img src="assets/img_lightx2v.png" width=75%/> <p> ## Overview Wan2.1-I2V-14B-480P-StepDistill-CfgDistill-Lightx2v is an advanced image-to-video generation model built upon the Wan2.1-I2V-14B-480P foundation. This approach allows the model to generate videos with significantly fewer inference steps (4 steps) and without classifier-free guidance, substantially reducing video generation time while maintaining high quality outputs. In this version, we added the following features: 1. Trained with higher quality datasets for extended iterations. 2. New fp8 and int8 quantized distillation models have been added, which enable fast inference using lightx2v on RTX 4060. ## Training Our training code is modified based on the [Self-Forcing](https://github.com/guandeh17/Self-Forcing) repository. We extended support for the Wan2.1-14B-I2V-480P model and performed a 4-step bidirectional distillation process. The modified code is available at [Self-Forcing-Plus](https://github.com/GoatWu/Self-Forcing-Plus). ## Inference Our inference framework utilizes [lightx2v](https://github.com/ModelTC/lightx2v), a highly efficient inference engine that supports multiple models. This framework significantly accelerates the video generation process while maintaining high quality output. ```bash bash scripts/wan/run_wan_i2v_distill_4step_cfg.sh ``` or using the lora version: ```bash bash scripts/wan/run_wan_i2v_distill_4step_cfg_lora.sh ``` We recommend using the **LCM scheduler** with the following settings: - `shift=5.0` - `guidance_scale=1.0 (i.e., without CFG)` ## License Agreement The models in this repository are licensed under the Apache 2.0 License. We claim no rights over the your generate contents, granting you the freedom to use them while ensuring that your usage complies with the provisions of this license. You are fully accountable for your use of the models, which must not involve sharing any content that violates applicable laws, causes harm to individuals or groups, disseminates personal information intended fo...

Source context: 0 downloads · 135 likes · Pipeline image-to-video · Library diffusers · Repo lightx2v/Wan2.1-I2V-14B-480P-StepDistill-CfgDistill-Lightx2v