Curated Ep27 Sdxl Image To Oil Painting With Lora And Control Net And Upscaler

curated_ep27_sdxl_image_to_oil_painting_with_lora_and_control_net_and_upscaler

Curated workflow skill generated from EP27 SDXL Image to Oil Painting with Lora and Control Net and UPSCALER.json.

Capability Family

• upscaling

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

• upscale_model: 4x_NMKD-Siax_200k.pth -> models/upscale_models
• checkpoint: Juggernaut_X_RunDiffusion.safetensors -> models/checkpoints
• controlnet: diffusion_pytorch_model_promax.safetensors -> models/controlnet
• lora: ClassipeintXL2.1.safetensors -> models/loras

Custom Node Requirements

• None detected.

Links Extracted From Workflow Notes

• None detected.

Source

• Original: comfy-data/workflows/EP27 SDXL Image to Oil Painting with Lora and Control Net and UPSCALER.json

Routing Metadata

• Family: upscaling
• Input modalities: image, text_prompt
• Output modalities: image/png
• Model families: other
• Node count: 28
• Complexity score: 0
• Resource profile: low
• Estimated runtime: fast (usually under 30s on modern GPU)
• Max latent resolution hint: NonexNone
• Max sampler steps hint: 30

Detected Models

• upscale_model: 4x_NMKD-Siax_200k.pth -> models/upscale_models
• checkpoint: Juggernaut_X_RunDiffusion.safetensors -> models/checkpoints
• controlnet: diffusion_pytorch_model_promax.safetensors -> models/controlnet
• lora: ClassipeintXL2.1.safetensors -> models/loras

Detected Custom Nodes

• None detected.

Runtime Warnings

• No major runtime warnings detected.