# Text-to-image generation

Flex.1 Alpha
Flex.1-alpha is a powerful text-to-image generation model based on an 8 billion parameter corrected flow transformer architecture. It inherits features from FLUX.1-schnell and generates images without the need for CFG through trained guided embedders. The model supports fine-tuning and is open-source (Apache 2.0), making it suitable for use in various inference engines like Diffusers and ComfyUI. Its main advantages include efficient generation of high-quality images, flexible fine-tuning capabilities, and strong community support. The development background aims to address the compression and optimization issues of image generation models while continuously improving model performance through ongoing training.
Image Generation
73.4K

SDXL Turbo Online
SDXL Turbo is a text-to-image generative model based on Adversarial Diffusion Distillation (ADD) technology. It can quickly generate high-quality images. As an enhanced version of SDXL 1.0, it can synthesize high-quality, realistic images with a single network evaluation.
Image Generation
59.6K

PIXART α
PIXART-α is a Transformer-based text-to-image generation model. Its image generation quality rivals that of state-of-the-art image generators. It supports high-resolution image synthesis, features significantly faster training than existing large-scale T2I models, and boasts low training costs, saving nearly $300,000 and reducing CO2 emissions by 90%. PIXART-α excels in image quality, artistry, and semantic control, providing new insights for the AIGC community and startups to accelerate the development of high-quality, cost-effective generative models from scratch.
AI image generation
100.2K
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Nocode
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Listenhub
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Minimax Agent
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Chinese Picks

Tencent Hunyuan Image 2.0
Tencent Hunyuan Image 2.0 is Tencent's latest released AI image generation model, significantly improving generation speed and image quality. With a super-high compression ratio codec and new diffusion architecture, image generation speed can reach milliseconds, avoiding the waiting time of traditional generation. At the same time, the model improves the realism and detail representation of images through the combination of reinforcement learning algorithms and human aesthetic knowledge, suitable for professional users such as designers and creators.
Image Generation
48.0K

Openmemory MCP
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open source
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Fastvlm
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Image Processing
42.5K
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Liblibai
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AI Model
6.9M