---

name: workflow_ep24_flux_dev_q8_inpaint_with_lora description: > Workflow wrapper imported from EP24 Flux Dev Q8 INPAINT with 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", "img2img_inpaint_outpaint"] 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_ep24_flux_dev_q8_inpaint_with_lora

Imported workflow skill generated from EP24 Flux Dev Q8 INPAINT with Lora.json.

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

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

Custom Node Requirements

• None detected.

Links

• None detected.

Routing Metadata

• Family: img2img_inpaint_outpaint
• Input modalities: image, text_prompt
• Output modalities: image/png
• Model families: flux
• Node count: 18
• Complexity score: 3
• Resource profile: medium
• Estimated runtime: moderate (about 30-120s depending on server)
• Max latent resolution hint: NonexNone
• Max sampler steps hint: 12

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

Detected Custom Nodes

• None detected.

Runtime Warnings

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