L’interface est localisée ; les présentations et documents des Skills sont traduits automatiquement par IA dans votre langue. Le code, les commandes, chemins et termes techniques restent en version originale, et le document de l’auteur fait foi.
Explorer les Skills
Productivité · SKILL.md

curated_ep55_wan_2_1_i2v_480p_with_fusionx_lora_and_extra_lora

curated_ep55_wan_2_1_i2v_480p_with_fusionx_lora_and_extra_lora

Curated ComfyUI workflow imported from `Ep55 Wan 2.1 I2V 480p with FusionX Lora and Extra Lora.json`.

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentation de la Skill

GitHub

name: curated_ep55_wan_2_1_i2v_480p_with_fusionx_lora_and_extra_lora description: > Curated ComfyUI workflow imported from Ep55 Wan 2.1 I2V 480p with FusionX Lora and Extra 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_ep55_wan_2_1_i2v_480p_with_fusionx_lora_and_extra_lora

Curated workflow skill generated from Ep55 Wan 2.1 I2V 480p with FusionX Lora and Extra 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
  • clip: umt5_xxl_fp8_e4m3fn_scaled.safetensors -> models/clip
  • diffusion_model: wan2.1-i2v-14b-480p-Q4_0.gguf -> models/diffusion_models

Custom Node Requirements

  • ComfyUI-GGUF
  • comfyui-videohelpersuite
  • rgthree-comfy

Links Extracted From Workflow Notes

Source

  • Original: comfy-data/workflows/Ep55 Wan 2.1 I2V 480p with FusionX Lora and Extra Lora.json

Routing Metadata

  • Family: video_t2v_i2v_avatar
  • Input modalities: image, text_prompt
  • Output modalities: video/mp4
  • Model families: sd3, wan
  • Node count: 19
  • Complexity score: 8
  • Resource profile: high
  • Estimated runtime: slow (often 2-6 min depending on model/server load)
  • Max latent resolution hint: NonexNone
  • Max sampler steps hint: 8

Detected Models

  • vae: wan_2.1_vae.safetensors -> models/vae
  • clip: umt5_xxl_fp8_e4m3fn_scaled.safetensors -> models/clip
  • diffusion_model: wan2.1-i2v-14b-480p-Q4_0.gguf -> models/diffusion_models

Detected Custom Nodes

  • ComfyUI-GGUF
  • comfyui-videohelpersuite
  • rgthree-comfy

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.
Skills enregistrées