---

name: curated_wan_2_2_i2v_14b_gguf_lora description: > Curated ComfyUI workflow imported from Wan 2.2 I2V 14b GGUF + Lora.json. homepage: https://github.com/steliosot/comfy-agent metadata.clawdbot.os: ["darwin", "linux"] metadata.clawdbot.requires.bins: ["python3"] metadata.clawdbot.requires.env: ["COMFY_URL", "COMFY_AUTH_HEADER"] metadata.clawdbot.files: ["workflow.json", "skill.py", "skill.yaml", "scripts/*"] metadata.clawdbot.tags: ["comfyui", "workflow", "curated", "video_t2v_i2v_avatar"] metadata.clawdbot.category: "media-generation" metadata.clawdbot.input_type: "image/png" metadata.clawdbot.output_type: "video/mp4" metadata.clawdbot.output_can_feed_into: [] metadata.clawdbot.accepts_input_from: [] metadata.clawdbot.priority: 70

curated_wan_2_2_i2v_14b_gguf_lora

Curated workflow skill generated from Wan 2.2 I2V 14b GGUF + Lora.json.

Capability Family

• video_t2v_i2v_avatar

Inputs

• Optional runtime overrides supported by run(...):
  • prompt
  • negative_prompt
  • width, height
  • seed, steps, cfg
  • sampler_name, scheduler, denoise
  • server, headers, api_prefix

Outputs

• Returns JSON with:
  • status
  • prompt_id
  • output_images (includes image/video entries reported by Comfy history)

Model Requirements

• vae: wan_2.1_vae.safetensors -> models/vae
• diffusion_model: wan2.2_i2v_low_noise_14B_Q4_K_M.gguf -> models/diffusion_models
• diffusion_model: wan2.2_i2v_high_noise_14B_Q4_K_M.gguf -> models/diffusion_models
• lora: Wan2.2-Lightning_I2V-A14B-4steps-lora_LOW_fp16.safetensors -> models/loras
• lora: Wan2.2-Lightning_I2V-A14B-4steps-lora_HIGH_fp16.safetensors -> models/loras
• clip: umt5_xxl_fp8_e4m3fn_scaled.safetensors -> models/clip

Custom Node Requirements

• ComfyUI-GGUF
• comfyui-videohelpersuite

Links Extracted From Workflow Notes

• https://discord.com/invite/gggpkVgBf3
• https://docs.comfy.org/tutorials/video/wan/wan2_2
• https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors?download=true
• https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors?download=true
• https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/LoRAs/Wan22-Lightning/old/Wan2.2-Lightning_I2V-A14B-4steps-lora_HIGH_fp16.safetensors?download=true
• https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/LoRAs/Wan22-Lightning/old/Wan2.2-Lightning_I2V-A14B-4steps-lora_LOW_fp16.safetensors?download=true
• https://huggingface.co/Wan-AI/Wan2.2-I2V-A14B
• https://huggingface.co/bullerwins/Wan2.2-I2V-A14B-GGUF/resolve/main/wan2.2_i2v_high_noise_14B_Q4_K_M.gguf?download=true
• https://huggingface.co/bullerwins/Wan2.2-I2V-A14B-GGUF/resolve/main/wan2.2_i2v_low_noise_14B_Q4_K_M.gguf?download=true
• https://huggingface.co/bullerwins/Wan2.2-I2V-A14B-GGUF/tree/main
• https://www.youtube.com/@pixaroma

Source

• Original: comfy-data/workflows/Wan 2.2 I2V 14b GGUF + Lora.json

Routing Metadata

• Family: video_t2v_i2v_avatar
• Input modalities: image, text_prompt
• Output modalities: video/mp4
• Model families: sd3, wan
• Node count: 20
• Complexity score: 9
• Resource profile: very_high
• Estimated runtime: heavy (can exceed 6 min; best on high-VRAM GPU)
• Max latent resolution hint: NonexNone
• Max sampler steps hint: None

Detected Models

• vae: wan_2.1_vae.safetensors -> models/vae
• diffusion_model: wan2.2_i2v_low_noise_14B_Q4_K_M.gguf -> models/diffusion_models
• diffusion_model: wan2.2_i2v_high_noise_14B_Q4_K_M.gguf -> models/diffusion_models
• lora: Wan2.2-Lightning_I2V-A14B-4steps-lora_LOW_fp16.safetensors -> models/loras
• lora: Wan2.2-Lightning_I2V-A14B-4steps-lora_HIGH_fp16.safetensors -> models/loras
• clip: umt5_xxl_fp8_e4m3fn_scaled.safetensors -> models/clip

Detected Custom Nodes

• ComfyUI-GGUF
• comfyui-videohelpersuite

Runtime Warnings

• Large model(s) detected; ensure enough VRAM and disk space.
• Uses custom nodes; missing nodes can cause validation/runtime failures.
• Video workflow: usually slower and VRAM-intensive than still-image workflows.