---

name: curated_nunchaku_qwen_lightning_control_net_inpainting description: > Curated ComfyUI workflow imported from Nunchaku Qwen Lightning + Control Net Inpainting.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_nunchaku_qwen_lightning_control_net_inpainting

Curated workflow skill generated from Nunchaku Qwen Lightning + Control Net Inpainting.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

• clip: qwen_2.5_vl_7b_fp8_scaled.safetensors -> models/clip
• vae: qwen_image_vae.safetensors -> models/vae
• controlnet: Qwen-Image-InstantX-ControlNet-Inpainting.safetensors -> models/controlnet

Custom Node Requirements

• comfyui-nunchaku
• rgthree-comfy

Links Extracted From Workflow Notes

• https://discord.com/invite/gggpkVgBf3
• https://docs.comfy.org/interface/maskeditor
• https://github.com/Tavris1/ComfyUI-Easy-Install
• https://github.com/nunchaku-tech/ComfyUI-nunchaku
• https://huggingface.co/Comfy-Org/Qwen-Image-InstantX-ControlNets/resolve/main/split_files/controlnet/Qwen-Image-InstantX-ControlNet-Inpainting.safetensors
• https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/text_encoders/qwen_2.5_vl_7b_fp8_scaled.safetensors
• https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/vae/qwen_image_vae.safetensors
• https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/tree/main/split_files/text_encoders
• https://huggingface.co/nunchaku-tech/nunchaku-qwen-image/resolve/main/svdq-int4_r32-qwen-image-lightningv1.0-4steps.safetensors?download=true
• https://huggingface.co/nunchaku-tech/nunchaku-qwen-image/tree/main
• https://www.youtube.com/@pixaroma

Source

• Original: comfy-data/workflows/Nunchaku Qwen Lightning + Control Net Inpainting.json

Routing Metadata

• Family: img2img_inpaint_outpaint
• Input modalities: image, text_prompt
• Output modalities: image/png
• Model families: qwen
• Node count: 19
• Complexity score: 1
• Resource profile: low
• Estimated runtime: fast (usually under 30s on modern GPU)
• Max latent resolution hint: NonexNone
• Max sampler steps hint: 4

Detected Models

• clip: qwen_2.5_vl_7b_fp8_scaled.safetensors -> models/clip
• vae: qwen_image_vae.safetensors -> models/vae
• controlnet: Qwen-Image-InstantX-ControlNet-Inpainting.safetensors -> models/controlnet

Detected Custom Nodes

• comfyui-nunchaku
• rgthree-comfy

Runtime Warnings

• Uses custom nodes; missing nodes can cause validation/runtime failures.