ComfyUI: Generate and upscale images using Zee Image and PiD
ComfyUI
Demo summary
A demonstration of a combined workflow where Zee Image Turbo generates a 1K image of a red panda which is then automatically passed into the PiD upscaler for a 4K final output.
Step-by-step
- Drag and drop the workflow file onto the ComfyUI interface
- Download the Zee Image Turbo model and place it in 'models/diffusion_models'
- Download the Qwen 2 1.5B or 7B clip model and place it in 'models/text_encoders'
- Press 'R' to refresh the model list and select the downloaded models in the dropdowns
- Select Gemma 2 for the text encoder and the PiD Flux.1 version for the diffusion model in the upscaler section
- Enter your prompt in the green text box
- Set the longest side of the resolution to 1024 to match the PiD upscaler requirements
- Configure the K-Sampler settings and click 'Run'
Options
- Choose between BF16 (12GB) or FP4 (compressed) Zee Image Turbo model variants
- Select between full, FP8, or FP4 versions of the Qwen text encoder
- Adjust the batch size to generate multiple images at once
- Modify the seed, steps, CFG, and sampler algorithm in the K-Sampler
Watch out for
- The FP4 model variant requires a newer CUDA GPU
- The PiD upscaler requires the original image's longest side to be exactly 1024 to output 4K correctly
Tips
- Use 7 to 9 steps for Zee Image Turbo as it is the 'sweet spot'
- Keep the CFG at 1 for Zee Image generations
- Leave the additional micro settings in the upscaler step at their default values
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