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--- |
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license: creativeml-openrail-m |
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language: |
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- zh |
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- en |
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library_name: diffusers |
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pipeline_tag: text-to-image |
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tags: |
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- art |
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- tensorRT |
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--- |
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# Model Card for lyraSD |
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lyraSD is a tensorRT implementation of Stable diffusion model, with stable 1.5 weights. Main features |
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- weights: original stable diffusion 1.5 weights |
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- input image: 512x512 (in img2img mode) |
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- output image: 512x512 |
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- device requirements: Nvidia Ampere architecture (A100) or compatable |
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- super-resultion: 4x by default, optional. |
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lyraSD is a part of TME lyralab Fast Model Plan. |
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### Model Sources [optional] |
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- **Repository:** [https://huggingface.co/runwayml/stable-diffusion-v1-5] |
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## Uses |
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```python |
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from lyraSD import LyraSD |
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t2imodel = LyraSD("text2img", "./sd1.5-engine") |
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t2imodel.inference(prompt="a red ballon flying in the sky") |
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from PIL import Image |
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i2imodel = LyraSD("img2img", "./sd1.5-engine") |
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demo_img = Image.open("output/text2img_demo.jpg") |
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i2imodel.inference(prompt="comic style", image=demo_img) |
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``` |
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## environment |
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- hardware: Nvidia Ampere architecture (A100) or compatable |
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- docker image avaible: https://hub.docker.com/r/bigmoyan/lyra_aigc/tags |
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``` |
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docker pull bigmoyan/lyra_aigc:v0.1 |
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``` |
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## report bug |
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- start a discussion to report any bugs!--> https://huggingface.co/TMElyralab/lyraSD/discussions |
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- report bug with a `[bug]` mark in the title. |
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