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

> Curated ComfyUI workflow imported from `EP27 SDXL Image to Oil Painting with Lora and Control Net and UPSCALER.json`.

- Skill: `steliosot/curated-ep27-sdxl-image-to-oil-painting-with-lora-and-contro` (Agent Skill, multi-file: 6 files)
- Install (CLI): `npx skillmds@latest add steliosot/curated-ep27-sdxl-image-to-oil-painting-with-lora-and-contro`
- Raw SKILL.md: https://api.skillmd.com/api/skills/steliosot/curated-ep27-sdxl-image-to-oil-painting-with-lora-and-contro/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Productivity
- Author: steliosot (https://skillmd.com/u/steliosot)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/steliosot/curated-ep27-sdxl-image-to-oil-painting-with-lora-and-contro

---


# 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`

<!-- AUTO-METADATA-START -->
## 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: `None`x`None`
- 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.
<!-- AUTO-METADATA-END -->