In this article, we will introduce how the unCLIP model works and how it can be used to create innovative images. Through technological innovation, we can glimpse new possibilities.
What is the unCLIP Model?
The unCLIP model is a special version of the SD model, adjusted to accept image concepts as input in addition to text prompts. This model uses CLIPVision to encode images and passes the extracted concepts to the main model during sampling. In simpler terms, it allows images to be used as prompts.
How the unCLIP Model Works
The unCLIP model essentially extracts image concepts and combines them with text prompts to generate new images. Lower noise_augmentation values better follow the image concept, and strength adjusts how strongly the image is influenced. By properly adjusting these two parameters, you can achieve the desired result.
Practical Usage Examples
One of the core features of the unCLIP model is the process of combining various images to create a new one. For example, by combining mountain and sunset images, the model extracts the appropriate concepts from both images to generate a coherent image instead of traditionally blending them.
Here is an example of the combined images:
As you can see, the concepts from both images are well-harmonized into a new image.
Additionally, a two-step workflow using unCLIP checkpoints can be useful for generating more refined images. Use the unCLIP model in the first stage, then switch to the 1.x model in the second stage to achieve more precise results.
Conclusion
The unCLIP model has opened new frontiers in AI image generation. It is useful for creating creative and original images by combining text and images. With this technology, we can explore more possibilities and achieve better results. Now, try creating creative images using the unCLIP model!
References: ComfyUI Examples, “unCLIP Model Examples”