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

workflow_ep14_flux_dev_q8_gguf_with_controlnet_union_and_lora

workflow_ep14_flux_dev_q8_gguf_with_controlnet_union_and_lora

Workflow wrapper imported from `Ep14 Flux Dev Q8 GGUF with ControlNet Union and LORA.json`.

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentation de la Skill

GitHub

name: workflow_ep14_flux_dev_q8_gguf_with_controlnet_union_and_lora description: > Workflow wrapper imported from Ep14 Flux Dev Q8 GGUF with ControlNet Union and 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", "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_ep14_flux_dev_q8_gguf_with_controlnet_union_and_lora

Imported workflow skill generated from Ep14 Flux Dev Q8 GGUF with ControlNet Union and LORA.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

  • controlnet: flux-dev-controlnet-union.safetensors -> models/controlnet
  • diffusion_model: flux1-dev-Q8_0.gguf -> models/diffusion_models
  • vae: ae.safetensors -> models/vae
  • clip: t5-v1_1-xxl-encoder-Q8_0.gguf -> models/clip
  • lora: aidmaHyperrealism-FLUX-V0.1.safetensors -> models/loras

Custom Node Requirements

  • None detected.

Links

  • None detected.

Routing Metadata

  • Family: txt2img
  • Input modalities: image, text_prompt
  • Output modalities: image/png
  • Model families: flux, sd3, wan
  • Node count: 26
  • Complexity score: 5
  • Resource profile: medium
  • Estimated runtime: moderate (about 30-120s depending on server)
  • Max latent resolution hint: 1024x1024
  • Max sampler steps hint: 20

Detected Models

  • controlnet: flux-dev-controlnet-union.safetensors -> models/controlnet
  • diffusion_model: flux1-dev-Q8_0.gguf -> models/diffusion_models
  • vae: ae.safetensors -> models/vae
  • clip: t5-v1_1-xxl-encoder-Q8_0.gguf -> models/clip
  • lora: aidmaHyperrealism-FLUX-V0.1.safetensors -> models/loras

Detected Custom Nodes

  • None detected.

Runtime Warnings

  • Large model(s) detected; ensure enough VRAM and disk space.
  • Medium-high resolution detected; expect moderate extra runtime.
Skills enregistrées