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
| { | |
| "num_age_bins": 5, | |
| "num_sex": 2, | |
| "num_race": 3, | |
| "d_node": 256, | |
| "d_ctx": 1024, | |
| "dropout": 0.1, | |
| "use_uncertainty": true, | |
| "use_aux_loss": true, | |
| "aux_hidden_dim": 512, | |
| "encode_age": false | |
| } |