Immers Foundation Models

 

  • Our catalog features the most popular open-source AI models from developers worldwide, including large language models (LLMs), multimodal, and diffusion models. Try any model in one place — we’ve made it easy for you.
  • To explore and test a model, you can query it through our public endpoint. For self-hosted production, fine-tuning or custom weights, we recommend renting a virtual or a dedicated GPU server.

Stable Diffusion XL-refiner-1.0

Refiner Model specializes in the final stages of noise reduction and enhances the visual accuracy of images generated by the base model.

26.07.2023

Kandinsky 2 2 decoder

Kandinsky 2.2 is a free Russian model for image generation developed by Sber AI. It operates based on a diffusion model: initially adding noise to images it was trained on, then restoring them through a reverse diffusion process to create new unique images.

12.07.2023

Stable Diffusion 2.1

The Stable Diffusion v2-1 is a diffusion-based text-to-image generation model. It is fine-tuned from the Stable Diffusion v2 checkpoint. Generates high-resolution images (up to 768x768) and supports text-guided generation.

06.12.2022

Stable Diffusion x4 upscaler

Stable Diffusion x4 upscaler - is a diffusion model for 4x image resolution upscaling based on text prompts. It takes as input a low-resolution image and a text prompt, along with the noise_level parameter.

23.11.2022

Stable Diffusion 1.5

Stable Diffusion v1.5 is a diffusion model for image generation based on textual prompts. The model was initialized with the weights of the previous version, Stable Diffusion v1.2, and subsequently fine-tuned. It supports image generation at 512×512 pixels and image modification via textual prompts.

01.10.2022

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