Install this extension via the ComfyUI Manager by searching
for DiffMorpher-ComfyUI
1. Click the Manager button in the main menu
2. Select Custom Nodes Manager button
3. Enter DiffMorpher-ComfyUI in the search bar
After installation, click the Restart button to
restart ComfyUI. Then, manually
refresh your browser to clear the cache and access
the updated list of nodes.
Visit
ComfyUI Online
for ready-to-use ComfyUI environment
DiffMorpher-ComfyUI is a custom node for integrating DiffMorpher into ComfyUI, enabling advanced workflow functionalities. It enhances the base workflow, providing seamless compatibility and extended features for users.
DiffMorpher-ComfyUI Introduction
DiffMorpher-ComfyUI is an extension designed to integrate the powerful image morphing capabilities of DiffMorpher into the ComfyUI environment. This extension allows AI artists to create smooth transitions between two images using advanced diffusion models. By leveraging the strengths of DiffMorpher, this tool can help you generate stunning visual effects, making it easier to blend different styles, subjects, or scenes seamlessly.
How DiffMorpher-ComfyUI Works
DiffMorpher-ComfyUI operates by taking two input images and generating a series of intermediate frames that smoothly transition from the first image to the second. This process is powered by diffusion models, which are a type of generative model that can create high-quality images by iteratively refining random noise into a coherent image.
Think of it like a digital artist who starts with a rough sketch and gradually adds details until the final image is complete. In this case, the extension starts with the first image and progressively transforms it into the second image, creating a series of frames that capture each step of the transformation.
DiffMorpher-ComfyUI Features
Key Features
Image Inputs: You can specify two images that you want to morph between.
Prompts: Provide textual descriptions (prompts) for each image to guide the morphing process.
AdaIN: Option to use Adaptive Instance Normalization (AdaIN) for style transfer.
Reschedule Sampling: Option to use reschedule sampling for better frame generation.
Self-Attention Replacement: Control the degree of self-attention replacement with a hyperparameter.
Save Intermediate Results: Option to save intermediate frames for further analysis or use.
Frame Generation: Specify the number of frames and the duration of each frame in the morphing sequence.
Customization Options
Pretrained Model Path: Use different pretrained models to influence the style and quality of the morphing.
LoRA Paths: Load specific LoRA (Low-Rank Adaptation) models for each image to fine-tune the morphing process.
Examples
Basic Morphing: Transition between two portraits.
Style Transfer: Morph between a photo and a painting.
Scene Blending: Blend two different landscapes.
DiffMorpher-ComfyUI Models
DiffMorpher-ComfyUI primarily uses the "stabilityai/stable-diffusion-2-1-base" model by default. This model is well-suited for a wide range of image morphing tasks. However, you can also specify other pretrained models to achieve different effects or styles. For instance, using a model trained on artistic images can result in more painterly transitions.
Troubleshooting DiffMorpher-ComfyUI
Common Issues and Solutions
Installation Problems:
Ensure you have cloned the repository into the correct directory (ComfyUI/custom_nodes).
Run pip install -r requirements.txt to install all necessary dependencies.
Model Download Issues:
Make sure you have a stable internet connection as the weights are downloaded from Huggingface.
Unexpected Results:
Check your prompts and ensure they accurately describe the images.
Experiment with different values for lamb and other parameters to fine-tune the results.
Frequently Asked Questions
Q: How do I change the number of frames?
A: Adjust the num_frames parameter to your desired number of frames.
Q: Can I save the intermediate frames?
A: Yes, set the save_inter parameter to True.
Learn More about DiffMorpher-ComfyUI
For more detailed tutorials and community support, you can explore the following resources: