LibreFLUX-ControlNet is a text-to-image generation model based on the ControlNet architecture, using LibreFLUX as the base Transformer model. This model is trained on the SA1B dataset and can generate high-quality image content based on text prompts and control images.

Computer VisionDiffusers

Mira is a text generation model based on the fusion of multiple Gemma 3 27B base models. Through carefully selected training data and specific training methods, it has a unique ability to generate poetic texts. This model performs excellently in role-playing and creative writing, and can generate texts with literary charm according to different system prompts.

Natural Language ProcessingTransformers

A text-to-image generation model based on sdxl-turbo and processed by Nunchaku quantization, aiming to generate high-quality images according to text prompts. This model is optimized for efficient inference, significantly reducing the model size while maintaining performance.

Computer VisionDiffusersEnglish

Wan2.2-S2V-14B is a Mixture of Experts (MoE) model designed for audio-driven cinema-level video generation. It can generate high-quality video content based on input audio, reference images, and text prompts, supports 480P and 720P resolutions, and features complex motion generation and cinema-level aesthetic effects.

MultimodalDiffusersSpanish

Intorealism XL is a powerful text-to-image generation model that can generate realistic and delicate images, covering various themes such as portraits and landscapes, and performs excellently in aspects such as light and shadow, and texture. It strictly follows the input prompts for image creation.

Computer VisionDiffusersEnglish

The Nunchaku quantized version of the Colossus Project Flux, designed to generate high-quality images based on text prompts. This model minimizes performance loss while optimizing inference efficiency.

Computer VisionDiffusersEnglish

This is a version of the SANA-1.6B model quantized by Nunchaku, specifically designed to generate high-quality images based on text prompts. Through the advanced SVDQuant quantization technology, this model significantly optimizes inference efficiency while maintaining the generation quality, and is suitable for various text-to-image generation tasks.

Computer VisionDiffusersEnglish

The Nunchaku-quantized FLUX.1-dev model is used to generate high-quality images based on text prompts and optimizes inference efficiency.

Computer VisionDiffusersEnglish

This is a LyCORIS adapter based on FLUX.1-schnell, specifically designed for text-to-image generation tasks. This model is fine-tuned using LoRA technology. During the training process, no validation prompts were used, and the text encoder was not trained. The text encoder of the base model can be reused for inference.

Computer VisionDiffusers

MillieBB_v2 is a text-to-image generation model based on LoRA and Diffusers technology. It can generate images in a specific style according to text prompts, providing new possibilities for image creation.

Computer VisionDiffusers

A Nunchaku quantized version based on Shuttle Jaguar, designed to generate high-quality images according to text prompts, optimizing efficient inference and minimizing performance loss.

Computer VisionDiffusersEnglish

The Nunchaku-quantized FLUX.1-schnell model is used to generate high-quality images based on text prompts and has been optimized for efficient inference.

Computer VisionDiffusersEnglish

ReasonGen-R1 is a text-to-image model trained on image prompts and reasoning basis datasets through supervised fine-tuning (SFT), with the explicit 'thinking' ability based on text.

MultimodalTransformers

Wai RealCN is a text-to-image generation model based on Stable Diffusion XL technology, focusing on generating realistic and lifelike images. This model has high-quality image generation capabilities and is particularly good at handling Chinese prompts and generating visual content with a sense of realism.

Computer VisionDiffusers

A diffusion model that generates up to 11 seconds of 44.1kHz stereo audio based on text prompts

Audio ProcessingSafetensorsEnglish

LegoGPT is the first AI system that generates physically stable LEGO brick models from text prompts, fine-tuned based on Llama-3.2-1B-Instruct.

Natural Language ProcessingSafetensorsEnglish

BrickGPT is the first model that can generate physically stable toy building block models based on text prompts.

MultimodalPeftEnglish

Flux-Midjourney-Studio-LoRA is a text-to-image generation model based on LoRA technology, capable of generating images in a specific style according to text prompts.

Computer VisionDiffusers

Stable Diffusion 3.5 Medium is a diffusion-based text-to-image/image-to-image model capable of generating high-quality images from text prompts.

Computer VisionDiffusers

TripoSG-scribble is an AI tool that rapidly generates 3D models from scribble images and text prompts. As a variant of TripoSG, it is suitable for creative design and rapid prototyping.

Computer VisionDiffusers