model used - [ Ссылка ]
In this tutorial, we’ll explore how to leverage Comfy UI to create captivating image-to-image transformations. By combining latent node VAE encoding and the Load Image node, you’ll be able to generate impressive visual effects. Whether you’re an artist, designer, or just curious about creative AI, this tutorial is for you!
Tutorial Steps:
Setting Up Comfy UI:
If you haven’t already, download and install Comfy UI from the official website.
Launch Comfy UI and create a new project.
Loading an Image:
Drag and drop your source image into Comfy UI.
Connect the image to the “Load Image” node.
Latent Node VAE Encoding:
Add a “VAE Encode” node to your workflow.
Connect the image output to the “Pixels Input” of the VAE Encode node.
The “Latent” output will contain the encoded representation of your image.
Sampling and Denoising:
Connect the “Latent” output to a “Sampler” node.
Adjust the denoise parameter (usually less than 1.0) to control the amount of noise added during sampling.
Connect the output of the Sampler node to a “VAE Decode” node.
Saving the Transformed Image:
Connect the output of the VAE Decode node to the “Save Image” node.
Save the transformed image to your desired location.
Experiment and Iterate:
Play around with different denoise values and see how they affect the output.
Try using various source images to create unique transformations.
Remember that Comfy UI allows you to experiment freely, so don’t hesitate to explore different settings and combinations. Have fun creating your own image-to-image transformations! 🎨✨
Feel free to adjust the title and description to match your video content. Happy creating! 😊🚀
References:
Comfy UI Reddit Discussion
ComfyUI_examples/img2img on GitHub
Load Image Batch Node Explanation
Img2txt ComfyUI Nodes on GitHub
Inpainting with Set Latent Noise Mask Node
Buy me a coffee to support the channel - [ Ссылка ]
Thank-you
