Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
medical-imaging
chest-xray
generative-model
diffusion
Instructions to use P-RAJIV/cxr_stable_diffusion_v1_5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use P-RAJIV/cxr_stable_diffusion_v1_5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("P-RAJIV/cxr_stable_diffusion_v1_5", 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
- Xet hash:
- 16c6640bb508dae1ecbfff6f3bfea9d616da7026af8ba9eaab295756c32661f7
- Size of remote file:
- 6.88 GB
- SHA256:
- 92229899dd93c63609ca7bb3bc339341147994975053fd3c64e023a73cc1c188
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