Instructions to use blitzfa-software/sd-v1-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use blitzfa-software/sd-v1-5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("blitzfa-software/sd-v1-5", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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> ...a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable copyright license to reproduce, prepare, publicly display, publicly perform, sublicense, and distribute the Complementary Material, the Model, and Derivatives of the Model.
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Note that these files did not come from HuggingFace, but instead from [modelscope](https://www.modelscope.cn/models/AI-ModelScope/stable-diffusion-v1-5). As such,
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# Stable Diffusion v1-5 Model Card
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> ...a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable copyright license to reproduce, prepare, publicly display, publicly perform, sublicense, and distribute the Complementary Material, the Model, and Derivatives of the Model.
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Note that these files did not come from HuggingFace, but instead from [modelscope](https://www.modelscope.cn/models/AI-ModelScope/stable-diffusion-v1-5). As such, some files that were present in the original repository may not be present. File integrity has been verified via checksum.
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# Stable Diffusion v1-5 Model Card
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