Stable-Diffusion-v2.1: Text to Image
Stable-Diffusion, developed by Stability AI, is an open-source text-to-image generation model based on the Latent Diffusion architecture, capable of producing high-quality visuals from natural language prompts. Trained on billions of text-image pairs, it generates photorealistic, artistic, or abstract outputs across resolutions (e.g., 512x512 to 1024x1024), widely used in creative design, advertising, game asset development, and educational visualization. The open-source framework enables local deployment with customizable parameters (e.g., prompts, sampling steps) for precise control, while supporting extensions like image inpainting and super-resolution. Challenges include balancing output quality with computational demands (mid-to-high-tier GPUs required), mitigating biased/sensitive content generation, and optimizing real-time performance.
The source model can be found here
Performance Reference
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Inference & Model Conversion
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License
Source Model: CREATIVEML-OPENRAIL-M
Deployable Model: CREATIVEML-OPENRAIL-M