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BackComfyUI Workflow Detail
Version Type
TypeWorkflow
FeatureImage to Video
Formatgguf
AuthorDavid

Wan2.2 S2V 4 steps GGUF

Note: All model files and custom nodes below must be downloaded via the client. If you do not have the client, Download >>>

Lightning LoRA reduces generation time from 20 steps to 4 steps but may affect quality. Use for quick previews, disable for final output. Wan2.2-S2V-14B is an audio-driven cinematic video generation model launched by Wan-AI in August 2025, upgraded from the Wan2.2 series. It adopts a Mixture-of-Experts (MoE) architecture, enabling it to generate 480P and 720P resolution videos by combining audio, reference images, and optional text prompts. It also supports pose-driven generation to match specific motion sequences.

Model Files
Custom Nodes
NameSizeTarget Dir
lightx2v_I2V_14B_480p_cfg_step_distill_rank4_bf16.safetensors54.41 MBloras
lightx2v_I2V_14B_480p_cfg_step_distill_rank8_bf16.safetensors99.98 MBloras
lightx2v_I2V_14B_480p_cfg_step_distill_rank16_bf16.safetensors191.13 MBloras
lightx2v_I2V_14B_480p_cfg_step_distill_rank32_bf16.safetensors373.42 MBloras
lightx2v_I2V_14B_480p_cfg_step_distill_rank64_bf16.safetensors738.01 MBloras
lightx2v_I2V_14B_480p_cfg_step_distill_rank128_bf16.safetensors1.47 GBloras
lightx2v_I2V_14B_480p_cfg_step_distill_rank256_bf16.safetensors2.92 GBloras
NameSizeTarget Dir
umt5-xxl-encoder-Q3_K_S.gguf2.86 GBtext_encoders
umt5-xxl-encoder-Q3_K_M.gguf3.06 GBtext_encoders
umt5-xxl-encoder-Q4_K_S.gguf3.50 GBtext_encoders
umt5-xxl-encoder-Q4_K_M.gguf3.66 GBtext_encoders
umt5-xxl-encoder-Q5_K_S.gguf4.05 GBtext_encoders
umt5-xxl-encoder-Q5_K_M.gguf4.15 GBtext_encoders
umt5-xxl-encoder-Q6_K.gguf4.67 GBtext_encoders
umt5-xxl-encoder-Q8_0.gguf6.04 GBtext_encoders
umt5-xxl-encoder-F16.gguf11.37 GBtext_encoders
umt5-xxl-encoder-F32.gguf22.73 GBtext_encoders
NameSizeTarget Dir
wav2vec2_large_english_fp16.safetensors631.00 MBaudio_encoders
Wan2 VAE >4 files
NameSizeTarget Dir
wan_2.1_vae.safetensors254 MBvae
wan2.2_vae.safetensors1.41 GBvae
Wan2_1_VAE_bf16.safetensors254 MBvae
Wan2_1_VAE_fp32.safetensors508 MBvae
NameSizeTarget Dir
Wan2.2-S2V-14B-Q2_K.gguf9.51 GBunet
Wan2.2-S2V-14B-Q3_K_S.gguf10.72 GBunet
Wan2.2-S2V-14B-Q3_K_M.gguf11.39 GBunet
Wan2.2-S2V-14B-Q4_0.gguf12.77 GBunet
Wan2.2-S2V-14B-Q4_K_S.gguf12.96 GBunet
Wan2.2-S2V-14B-Q4_1.gguf13.47 GBunet
Wan2.2-S2V-14B-Q4_K_M.gguf13.86 GBunet
Wan2.2-S2V-14B-Q5_K_S.gguf14.35 GBunet
Wan2.2-S2V-14B-Q5_0.gguf14.52 GBunet
Wan2.2-S2V-14B-Q5_K_M.gguf15.00 GBunet
Wan2.2-S2V-14B-Q5_1.gguf15.23 GBunet
Wan2.2-S2V-14B-Q6_K.gguf16.21 GBunet
Wan2.2-S2V-14B-Q8_0.gguf19.62 GBunet