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curated_ep54_flux_dev_image_vector_variation

curated_ep54_flux_dev_image_vector_variation

Curated ComfyUI workflow imported from `EP54 Flux Dev - Image Vector Variation.json`.

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentation de la Skill

GitHub

name: curated_ep54_flux_dev_image_vector_variation description: > Curated ComfyUI workflow imported from EP54 Flux Dev - Image Vector Variation.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", "img2img_inpaint_outpaint"] metadata.clawdbot.category: "media-editing" metadata.clawdbot.input_type: "image/png" metadata.clawdbot.output_type: "image/png" metadata.clawdbot.output_can_feed_into: [] metadata.clawdbot.accepts_input_from: [] metadata.clawdbot.priority: 70

curated_ep54_flux_dev_image_vector_variation

Curated workflow skill generated from EP54 Flux Dev - Image Vector Variation.json.

Capability Family

  • img2img_inpaint_outpaint

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: ae.safetensors -> models/vae
  • clip: t5-v1_1-xxl-encoder-Q8_0.gguf -> models/clip
  • diffusion_model: flux1-dev-Q8_0.gguf -> models/diffusion_models

Custom Node Requirements

  • comfyui-gguf
  • comfyui-tosvg
  • rgthree-comfy

Links Extracted From Workflow Notes

Source

  • Original: comfy-data/workflows/EP54 Flux Dev - Image Vector Variation.json

Routing Metadata

  • Family: img2img_inpaint_outpaint
  • Input modalities: image, text_prompt
  • Output modalities: image/png
  • Model families: flux
  • Node count: 25
  • Complexity score: 4
  • Resource profile: medium
  • Estimated runtime: moderate (about 30-120s depending on server)
  • Max latent resolution hint: NonexNone
  • Max sampler steps hint: 30

Detected Models

  • vae: ae.safetensors -> models/vae
  • clip: t5-v1_1-xxl-encoder-Q8_0.gguf -> models/clip
  • diffusion_model: flux1-dev-Q8_0.gguf -> models/diffusion_models

Detected Custom Nodes

  • comfyui-gguf
  • comfyui-tosvg
  • rgthree-comfy

Runtime Warnings

  • Large model(s) detected; ensure enough VRAM and disk space.
  • Uses custom nodes; missing nodes can cause validation/runtime failures.
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