Instructions to use MWSAH/sdmodels with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MWSAH/sdmodels with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MWSAH/sdmodels", torch_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
Upload amateurphoto-version4-final-9555.safetensors
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amateurphoto-version4-final-9555.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:ee3f6d6607d3eab09a641f536953c3b54575b7ae079fcea0e0782c91696f2899
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size 306426455
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