Text-to-Image
Diffusers
Safetensors
English
medical
X-ray
Diffusion
Generation
Text-to-image
stable-diffusion
lora
fine_tune
Instructions to use Osama03/Medical-X-ray-image-generation-stable-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Osama03/Medical-X-ray-image-generation-stable-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Osama03/Medical-X-ray-image-generation-stable-diffusion") prompt = "Hey doc, I've been feeling really out of breath lately, especially when I'm walking up a flight of stairs or doing some light exercise. It's like my chest gets tight and I can't catch my breath. I've also been coughing up some stuff that's not quite right, it's been a few weeks now. And I've noticed a bit of weight loss, I'm not sure if that's related but it's been on my mind. I've been to a few doctors already, but they haven't been able to figure out what's going on. I'm hoping you can help." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 0aa83176b5d0713210c392e94b8131b62925e8d13c1d13f8ebc973d700344e2a
- Size of remote file:
- 6.59 MB
- SHA256:
- af6be163c75230e64aa2d8e3b92fcd4b259846cd0b7fcd2b6f6d0f0d13ebe71a
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