How do I install the Curated Shuttle Jaguar Nunchaku Txt2img With Upscaler skill?

Run npx skillmds@latest add steliosot/curated-shuttle-jaguar-nunchaku-txt2img-with-upscaler in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Which AI agents work with Curated Shuttle Jaguar Nunchaku Txt2img With Upscaler?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Who published Curated Shuttle Jaguar Nunchaku Txt2img With Upscaler?

steliosot (@steliosot) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Curated Shuttle Jaguar Nunchaku Txt2img With Upscaler by steliosot

Name: Curated Shuttle Jaguar Nunchaku Txt2img With Upscaler
Author: steliosot

File contents

curated_shuttle_jaguar_nunchaku_txt2img_with_upscaler

Curated workflow skill generated from Shuttle Jaguar (Nunchaku) txt2img with 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
vae: ae.safetensors -> models/vae

Custom Node Requirements

ComfyUI-TiledDiffusion
ComfyUI-nunchaku
comfyui-easy-use
controlaltai-nodes

Links Extracted From Workflow Notes

Source

Original: comfy-data/workflows/Shuttle Jaguar (Nunchaku) txt2img with Upscaler.json

Routing Metadata

Family: upscaling
Input modalities: text_prompt
Output modalities: image/png
Model families: flux, sd3
Node count: 27
Complexity score: 4
Resource profile: medium
Estimated runtime: moderate (about 30-120s depending on server)
Max latent resolution hint: 1024x1024
Max sampler steps hint: 8

Detected Models

upscale_model: 4x_NMKD-Siax_200k.pth -> models/upscale_models
vae: ae.safetensors -> models/vae

Detected Custom Nodes

ComfyUI-TiledDiffusion
ComfyUI-nunchaku
comfyui-easy-use
controlaltai-nodes

Runtime Warnings

Medium-high resolution detected; expect moderate extra runtime.
Multiple custom nodes required; verify node installation/version compatibility.

---name: curated-shuttle-jaguar-nunchaku-txt2img-with-upscalerdescription: Curated ComfyUI workflow imported from `Shuttle Jaguar (Nunchaku) txt2img with Upscaler.json`.---# curated_shuttle_jaguar_nunchaku_txt2img_with_upscalerCurated workflow skill generated from `Shuttle Jaguar (Nunchaku) txt2img with 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`- `vae`: `ae.safetensors` -> `models/vae`## Custom Node Requirements- `ComfyUI-TiledDiffusion`- `ComfyUI-nunchaku`- `comfyui-easy-use`- `controlaltai-nodes`## Links Extracted From Workflow Notes- https://discord.com/invite/gggpkVgBf3- https://github.com/Tavris1/ComfyUI-Easy-Install/tree/Windows-Nunchaku- https://huggingface.co/Akumetsu971/SD_Anime_Futuristic_Armor/resolve/main/4x_NMKD-Siax_200k.pth?download=true- https://huggingface.co/Comfy-Org/Lumina_Image_2.0_Repackaged/resolve/main/split_files/vae/ae.safetensors?download=true- https://huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/clip_l.safetensors?download=true- https://huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/t5xxl_fp8_e4m3fn_scaled.safetensors?download=true- https://huggingface.co/comfyanonymous/flux_text_encoders/tree/main- https://huggingface.co/mit-han-lab/nunchaku-shuttle-jaguar- https://huggingface.co/mit-han-lab/nunchaku-shuttle-jaguar/resolve/main/svdq-fp4_r32-shuttle-jaguar.safetensors?download=true- https://huggingface.co/mit-han-lab/nunchaku-shuttle-jaguar/resolve/main/svdq-int4_r32-shuttle-jaguar.safetensors?download=true- https://huggingface.co/shuttleai/shuttle-jaguar- https://www.youtube.com/@pixaroma- https://www.youtube.com/watch?v=eATIu4lkOl0## Source- Original: `comfy-data/workflows/Shuttle Jaguar (Nunchaku) txt2img with Upscaler.json`## Routing Metadata- Family: `upscaling`- Input modalities: `text_prompt`- Output modalities: `image/png`- Model families: `flux, sd3`- Node count: `27`- Complexity score: `4`- Resource profile: `medium`- Estimated runtime: `moderate (about 30-120s depending on server)`- Max latent resolution hint: `1024`x`1024`- Max sampler steps hint: `8`## Detected Models- `upscale_model`: `4x_NMKD-Siax_200k.pth` -> `models/upscale_models`- `vae`: `ae.safetensors` -> `models/vae`## Detected Custom Nodes- `ComfyUI-TiledDiffusion`- `ComfyUI-nunchaku`- `comfyui-easy-use`- `controlaltai-nodes`## Runtime Warnings- Medium-high resolution detected; expect moderate extra runtime.- Multiple custom nodes required; verify node installation/version compatibility.

Frequently asked questions

Curated Shuttle Jaguar Nunchaku Txt2img With Upscaler