# Image Generation

Chroma-GGUF is a collection of quantized models based on lodestones/Chroma, offering various precision levels to suit different hardware and performance requirements.

This is a KL16 variational autoencoder (VAE) model trained on the ImageNet-1k dataset for image-to-image conversion tasks.

FLUX.1-Redux-dev is a text-to-image generation model based on the FLUX technology stack, supporting the English language and adopting a non-commercial license.

ChromaFur Alpha is a text-to-image generation model converted to GGUF format, suitable for low-end GPUs or users who prefer fast loading.

GGUF quantized version of FLUX.1-dev, focused on text-to-image and image generation tasks

GGUF quantized version of the FLUX.1-dev model, focused on text-to-image and image generation tasks

A diffusion model based on the MNIST dataset for generating handwritten digit images.

LoRA adapter weights based on Stable Diffusion XL for text-to-image generation tasks.

An image-to-image conversion model based on stable diffusion technology, suitable for various image processing tasks.

This is an unconditional image generation model based on the Apache-2.0 license, primarily used for image generation tasks in the field of art creation.