Curated Z Image Turbo Txt2img Bf16 Cn Depth 2

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-2.0
• https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.0/resolve/main/Z-Image-Turbo-Fun-Controlnet-Union-2.0.safetensors?download=true
• https://www.youtube.com/@pixaroma

Source

• Original: comfy-data/workflows/Z Image Turbo txt2img bf16 CN Depth-2.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.