cjwbw / altdiffusion-m9

Multilingual Stable Diffusion

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  • 602 runs
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Examples

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Run time and cost

This model runs on Nvidia T4 GPU hardware. Predictions typically complete within 16 seconds. The predict time for this model varies significantly based on the inputs.

Readme

weights from: https://huggingface.co/BAAI/AltDiffusion-m9

AltDiffusion

We used AltCLIP-m9, and trained a bilingual Diffusion model based on Stable Diffusion, with training data from WuDao dataset and LAION.

Our model performs well in aligning multilanguage and is the strongest open-source version on the market today, retaining most of the stable diffusion capabilities of the original, and in some cases even better than the original model.

AltDiffusion-m9 model is backed by a multilingual CLIP model named AltCLIP-m9, which is also accessible in FlagAI. You can read this tutorial for more information.

Support English, Chinese, Spanish, French, Russian, Japanese, Korean, Arabic and Italian.