How do I install the Curated Z Image Turbo Txt2img Bf16 Cn Depth skill?

Run npx skillmds@latest add steliosot/curated-z-image-turbo-txt2img-bf16-cn-depth 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.

What does the Curated Z Image Turbo Txt2img Bf16 Cn Depth skill do?

Curated ComfyUI workflow imported from `Z Image Turbo txt2img bf16 CN Depth.json`. It is listed under Productivity on SkillMD.

Is Curated Z Image Turbo Txt2img Bf16 Cn Depth safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Curated Z Image Turbo Txt2img Bf16 Cn Depth?

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.

Is Curated Z Image Turbo Txt2img Bf16 Cn Depth free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Curated Z Image Turbo Txt2img Bf16 Cn Depth?

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

Curated Z Image Turbo Txt2img Bf16 Cn Depth by steliosot

Name: Curated Z Image Turbo Txt2img Bf16 Cn Depth
Author: steliosot

File contents

curated_z_image_turbo_txt2img_bf16_cn_depth

Curated workflow skill generated from Z Image Turbo txt2img bf16 CN Depth.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

clip: qwen_3_4b.safetensors -> models/clip
vae: ae.safetensors -> models/vae
diffusion_model: z_image_turbo_bf16.safetensors -> models/diffusion_models

Custom Node Requirements

comfyui_controlnet_aux
rgthree-comfy

Links Extracted From Workflow Notes

Source

Original: comfy-data/workflows/Z Image Turbo txt2img bf16 CN Depth.json

Routing Metadata

Family: txt2img
Input modalities: image, text_prompt
Output modalities: image/png
Model families: qwen, sd3, z_image_turbo
Node count: 17
Complexity score: 3
Resource profile: medium
Estimated runtime: moderate (about 30-120s depending on server)
Max latent resolution hint: 1024x1024
Max sampler steps hint: 5

Detected Models

clip: qwen_3_4b.safetensors -> models/clip
vae: ae.safetensors -> models/vae
diffusion_model: z_image_turbo_bf16.safetensors -> models/diffusion_models

Detected Custom Nodes

comfyui_controlnet_aux
rgthree-comfy

Runtime Warnings

Medium-high resolution detected; expect moderate extra runtime.
Uses custom nodes; missing nodes can cause validation/runtime failures.

---name: curated-z-image-turbo-txt2img-bf16-cn-depthdescription: Curated ComfyUI workflow imported from `Z Image Turbo txt2img bf16 CN Depth.json`.---# curated_z_image_turbo_txt2img_bf16_cn_depthCurated workflow skill generated from `Z Image Turbo txt2img bf16 CN Depth.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- `clip`: `qwen_3_4b.safetensors` -> `models/clip`- `vae`: `ae.safetensors` -> `models/vae`- `diffusion_model`: `z_image_turbo_bf16.safetensors` -> `models/diffusion_models`## Custom Node Requirements- `comfyui_controlnet_aux`- `rgthree-comfy`## Links Extracted From Workflow Notes- https://discord.com/invite/gggpkVgBf3- https://huggingface.co/Comfy-Org/z_image_turbo/resolve/main/split_files/diffusion_models/z_image_turbo_bf16.safetensors- https://huggingface.co/Comfy-Org/z_image_turbo/resolve/main/split_files/text_encoders/qwen_3_4b.safetensors- https://huggingface.co/Comfy-Org/z_image_turbo/resolve/main/split_files/vae/ae.safetensors- https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union- https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union/resolve/main/Z-Image-Turbo-Fun-Controlnet-Union.safetensors?download=true- https://www.youtube.com/@pixaroma## Source- Original: `comfy-data/workflows/Z Image Turbo txt2img bf16 CN Depth.json`## Routing Metadata- Family: `txt2img`- Input modalities: `image, text_prompt`- Output modalities: `image/png`- Model families: `qwen, sd3, z_image_turbo`- Node count: `17`- Complexity score: `3`- Resource profile: `medium`- Estimated runtime: `moderate (about 30-120s depending on server)`- Max latent resolution hint: `1024`x`1024`- Max sampler steps hint: `5`## Detected Models- `clip`: `qwen_3_4b.safetensors` -> `models/clip`- `vae`: `ae.safetensors` -> `models/vae`- `diffusion_model`: `z_image_turbo_bf16.safetensors` -> `models/diffusion_models`## Detected Custom Nodes- `comfyui_controlnet_aux`- `rgthree-comfy`## Runtime Warnings- Medium-high resolution detected; expect moderate extra runtime.- Uses custom nodes; missing nodes can cause validation/runtime failures.

Frequently asked questions

Curated Z Image Turbo Txt2img Bf16 Cn Depth