Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
medical-imaging
fundus
compdiff
Instructions to use mahmoudibra98/compdiff-fundus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mahmoudibra98/compdiff-fundus with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mahmoudibra98/compdiff-fundus", 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:
- adc18fa8090899365b12acb00e87bd77dde1b229624402dbe691e15384a086c3
- Size of remote file:
- 7.4 MB
- SHA256:
- 061cb5532e426c5ddeb2906fb066d48430f1efeeb7dea6c032e16dbf79b5a9bf
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