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workflow_ep27_flux_image_to_watercolor_with_lora_and_control_net

workflow_ep27_flux_image_to_watercolor_with_lora_and_control_net

Workflow wrapper imported from `EP27 Flux Image to Watercolor with Lora and Control Net.json`.

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentation de la Skill

GitHub

name: workflow_ep27_flux_image_to_watercolor_with_lora_and_control_net description: > Workflow wrapper imported from EP27 Flux Image to Watercolor with Lora and Control Net.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", "txt2img"] metadata.clawdbot.category: "media-generation" 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: 60

workflow_ep27_flux_image_to_watercolor_with_lora_and_control_net

Imported workflow skill generated from EP27 Flux Image to Watercolor with Lora and Control Net.json.

Family

  • txt2img

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

Custom Node Requirements

  • None detected.

Links

  • None detected.

Routing Metadata

  • Family: txt2img
  • Input modalities: image, text_prompt
  • Output modalities: image/png
  • Model families: flux
  • Node count: 19
  • Complexity score: 3
  • Resource profile: medium
  • Estimated runtime: moderate (about 30-120s depending on server)
  • Max latent resolution hint: NonexNone
  • Max sampler steps hint: 10

Detected Models

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

Detected Custom Nodes

  • None detected.

Runtime Warnings

  • Large model(s) detected; ensure enough VRAM and disk space.
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