Instructions to use danyalmalik/stable-diffusion-chest-xray with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use danyalmalik/stable-diffusion-chest-xray with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("danyalmalik/stable-diffusion-chest-xray", 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
- Draw Things
- DiffusionBee
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
CXR-1.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d54c1ab6256abf8b94bcda1d1ba24204372ebe138219308c72a3230c76aa5bb3
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size 2607359952
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text_encoder/model.safetensors
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oid sha256:776b7f625b4b261068199201e5a6ad42d1806ee58d00374209c4df17c6e02a90
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size 680821096
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unet/diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d61dc217684aa9cfc3ac0a5939963a31dacd82f5ce2f06685ef2905620e7e684
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size 3463726504
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vae/diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a1d993488569e928462932c8c38a0760b874d166399b14414135bd9c42df5815
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size 334643276
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