ComfyUI: Image-to-image transformation with Z-Image

Demo summary
The user demonstrates how to modify a ComfyUI workflow to perform image-to-image tasks, converting a 3D animation into a realistic photo using Z-Image Turbo.
Step-by-step
- Double-click the interface and search for 'load image' to add the node
- Upload the reference image into the Load Image node
- Add a 'VAE Encode' node to the workflow
- Connect the Load Image output to the VAE Encode input
- Connect the VAE output from your model to the VAE Encode node
- Connect the VAE Encode latent output to the K Sampler input
- Disable or bypass the original Empty Latent Image node
- Enter a prompt describing the desired realistic output
- Adjust the 'denoise' setting in the K Sampler
- Click Run to generate the image
Options
- Use Control+B to bypass the unused latent image node
Watch out for
- You cannot connect a Load Image node directly to a K Sampler; it must pass through a VAE Encode node first to convert it to latent space
Tips
- Roughly describe the original image in your prompt to guide the transformation
- Think of the denoise value as how much influence the original image has: lower values keep more of the original, while higher values allow for more change
- If the output looks too much like the original (e.g., still looks like a 3D animation), increase the denoise value to around 0.8
Highlights
“the awesome thing about this is everything just works. I can just tweak this workflow to convert this into image to image.”
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