city96/SD-Latent-Interposer
A small neural network to provide interoperability between the latents generated by the different Stable Diffusion models.
This tool allows you to seamlessly transfer latent representations of images between different Stable Diffusion models, such as SDXL and SDv1.5, without needing to decode and re-encode them. You input 'latent' data from one Stable Diffusion model, and it outputs compatible 'latent' data for a different model, enabling direct use. This is for users working with image generation workflows who want to combine capabilities of various Stable Diffusion versions.
320 stars. No commits in the last 6 months.
Use this if you want to use the output of one Stable Diffusion model (like SDXL) as direct input for another Stable Diffusion model (like SDv1.5 or SD3) within a ComfyUI workflow.
Not ideal if you primarily work with a single Stable Diffusion model or if you don't need to transfer latent representations between different model architectures.
Stars
320
Forks
20
Language
Python
License
Apache-2.0
Category
Last pushed
Aug 06, 2024
Commits (30d)
0
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