Curated Ep09 Sdxl Txt2img With Control Net Workflow Dense Pose

curated_ep09_sdxl_txt2img_with_control_net_workflow_dense_pose

Curated workflow skill generated from EP09 SDXL TXT2IMG With Control Net Workflow - Dense Pose.json.

Capability 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 (includes image/video entries reported by Comfy history)

Model Requirements

• checkpoint: Juggernaut_X_RunDiffusion.safetensors -> models/checkpoints
• controlnet: diffusion_pytorch_model_promax.safetensors -> models/controlnet

Custom Node Requirements

• None detected.

Links Extracted From Workflow Notes

• None detected.

Source

• Original: comfy-data/workflows/EP09 SDXL TXT2IMG With Control Net Workflow - Dense Pose.json

Routing Metadata

• Family: txt2img
• Input modalities: image, text_prompt
• Output modalities: image/png
• Model families: other
• Node count: 12
• Complexity score: 2
• Resource profile: low
• Estimated runtime: fast (usually under 30s on modern GPU)
• Max latent resolution hint: 1024x1024
• Max sampler steps hint: 30

Detected Models

• checkpoint: Juggernaut_X_RunDiffusion.safetensors -> models/checkpoints
• controlnet: diffusion_pytorch_model_promax.safetensors -> models/controlnet

Detected Custom Nodes

• None detected.

Runtime Warnings

• Medium-high resolution detected; expect moderate extra runtime.