Instructions to use DanishH/stable-diffusion-chest-xray-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DanishH/stable-diffusion-chest-xray-2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DanishH/stable-diffusion-chest-xray-2", 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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
CXR-2.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:dd3f87568c674a6e613979fffb3fcea8dc912ef20731de35cfc57dcf3e812628
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size 2607359952
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text_encoder/model.safetensors
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oid sha256:c72d4e8da64838b974680970174226aecbf9e737e4f73c5b8ca2ba295de55640
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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:bc1213c1bd43d7856548ff02e79f572d46bc88d36762529ea2325013cbd8411f
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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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