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Productivité · SKILL.md

workflow_wan_2_2_t2i_14b_gguf_4_step_lora_upscale_2k_landscape

workflow_wan_2_2_t2i_14b_gguf_4_step_lora_upscale_2k_landscape

Workflow wrapper imported from `Wan 2.2 T2I 14b GGUF + 4 Step Lora + Upscale 2K Landscape.json`.

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentation de la Skill

GitHub

name: workflow_wan_2_2_t2i_14b_gguf_4_step_lora_upscale_2k_landscape description: > Workflow wrapper imported from Wan 2.2 T2I 14b GGUF + 4 Step Lora + Upscale 2K Landscape.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", "library", "video_t2v_i2v_avatar"] metadata.clawdbot.category: "media-generation" metadata.clawdbot.input_type: "text" metadata.clawdbot.output_type: "image/png" metadata.clawdbot.output_can_feed_into: [] metadata.clawdbot.accepts_input_from: [] metadata.clawdbot.priority: 60

workflow_wan_2_2_t2i_14b_gguf_4_step_lora_upscale_2k_landscape

Imported workflow skill generated from Wan 2.2 T2I 14b GGUF + 4 Step Lora + Upscale 2K Landscape.json.

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

Model Requirements

  • diffusion_model: Wan2.2-T2V-A14B-LowNoise-Q8_0.gguf -> models/diffusion_models
  • vae: wan_2.1_vae.safetensors -> models/vae
  • clip: umt5_xxl_fp8_e4m3fn_scaled.safetensors -> models/clip
  • upscale_model: 4x_NMKD-Siax_200k.pth -> models/upscale_models

Custom Node Requirements

  • ComfyUI-GGUF
  • comfyui-easy-use
  • comfyui-kjnodes
  • rgthree-comfy

Links

Routing Metadata

  • Family: video_t2v_i2v_avatar
  • Input modalities: text_prompt
  • Output modalities: image/png
  • Model families: sd3, wan
  • Node count: 29
  • Complexity score: 9
  • Resource profile: very_high
  • Estimated runtime: heavy (can exceed 6 min; best on high-VRAM GPU)
  • Max latent resolution hint: 1024x576
  • Max sampler steps hint: 8

Detected Models

  • diffusion_model: Wan2.2-T2V-A14B-LowNoise-Q8_0.gguf -> models/diffusion_models
  • vae: wan_2.1_vae.safetensors -> models/vae
  • clip: umt5_xxl_fp8_e4m3fn_scaled.safetensors -> models/clip
  • upscale_model: 4x_NMKD-Siax_200k.pth -> models/upscale_models

Detected Custom Nodes

  • ComfyUI-GGUF
  • comfyui-easy-use
  • comfyui-kjnodes
  • rgthree-comfy

Runtime Warnings

  • Large model(s) detected; ensure enough VRAM and disk space.
  • Multiple custom nodes required; verify node installation/version compatibility.
  • Video workflow: usually slower and VRAM-intensive than still-image workflows.
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