Manojb/stable-diffusion-2-1-base is a text-to-image model hosted on Hugging Face. It belongs to the class of diffusion models for generating images from text prompts and is a community mirror of Stable Diffusion 2.1 base.
The model is provided with example code that loads it through the Diffusers library. A developer installs diffusers, transformers, and accelerate via pip, then instantiates a DiffusionPipeline using the repository identifier, bfloat16 precision, and CUDA device mapping. A text prompt such as "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" produces an output image in a few lines of Python. The repository also lists links to Google Colab and Kaggle notebooks as well as the local applications Draw Things and DiffusionBee.
It carries an openrail++ license. The model card outlines appropriate uses, limitations, and bias considerations for those who integrate the model into applications. Associated papers are cited with arXiv identifiers 2112.10752, 2202.00512, and 1910.09700. The repository supplies the model in both Diffusers and Safetensors formats and registers it under the StableDiffusionPipeline interface.
The page presents the model for download and inference on the Hugging Face platform. No pricing information appears for the model itself.
Stable Diffusion 2 1 Base sits in PulseGate's Image generation category. It focuses on generating high-quality images from text descriptions using latent diffusion. It is built as an open-source project for developers. Stable Diffusion 2 1 Base is open source under the Open Source license. It runs on the web, the command line, and API.
Behind Stable Diffusion 2 1 Base is Manojb, and the product first shipped in 2022. Key capabilities include text-to-Image, diffusers, and Stable Diffusion.
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