Instructions to use Reza2kn/XRAY with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Reza2kn/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("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Reza2kn/XRAY") prompt = "chest XRAY image of 50 year old male with bilateral secondary PTB with right upper atelectasis, right pleural adhesions, left compensatory emphysema" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add 2 files
Browse files
XRAY.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:9c44ce6c971899f72450601e2219098a493951539961fd0fd6f1a12fc1ee99e2
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size 171969384
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images/1728521628967__000016669_0.jpg
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Git LFS Details
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