Image inference with ComfyUI¶
A streamlined and automated environment for running ComfyUI with image/edit models, optimized for use on RunPod.
What to expect¶
These templates are intended for users who already want to run ComfyUI on RunPod and are comfortable following technical setup steps. No Linux expertise is required for normal use, but basic familiarity with RunPod pods, logs, tokens, and file management is helpful.
When to use this template¶
Use this template for image generation and image editing workflows with Z-Image, ERNIE-Image, FLUX.2, FLUX.2 Klein, Qwen-Image, JoyCaption and Qwen-Image-Edit models.
Example ZIB-ZIT¶

Example FLUX-Klein control/target image generation¶

Example Qwen-Image-Edit multiple angles¶

Example FLUX.2 Dev multiple angles¶

Example JoyCaption¶

🔧 Features¶
- Automatic model and LoRA provisioning via environment variables.
- Included workflows for image generation and enhancement using pre-installed custom nodes.
- Compatible with high-performance NVIDIA GPUs (CUDA 12.8).
- Compiled attention and GPU acceleration.
- Automatic selection of bf16 or fp8 models/workflows.
- LoRA Manager.
🔧 Built-in authentication¶
- ComfyUI
- Code Server
- Hugging Face API
- CivitAI API
📦 Deployment on RunPod¶
📘 Tutorial¶
Example running Z-Image on an RTX A4500¶

Example running Z-Image on an RTX A5000¶

Example running Z-Image on an RTX 4000 Ada¶

Example running Z-Image on an RTX 3090¶

Example running FLUX.2 Klein 9B on an RTX A4500¶

Example running Qwen-Image-Edit fp8 on an RTX A5000¶

Example running Qwen-Image-Edit bf16 on an A40¶

Example running FLUX.2 Dev bf16 on an L40S¶

Example running FLUX.2 Dev fp8 on an RTX A5000 (slow)¶
