Diffusers
ophthalmology
OCT
fundus
medical-imaging
diffusion
stable-diffusion-3
segmentation
instruction-tuning
Instructions to use MaybeRichard/OCTFlow with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MaybeRichard/OCTFlow with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MaybeRichard/OCTFlow", 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
- Xet hash:
- 6d48cbb7d85f9551f9d6040436e9a49b348ac162187cd27b996e8ed0f14bb905
- Size of remote file:
- 755 MB
- SHA256:
- 3b913110156d1c0561ea771ddd41e44d28a8e9a03eb0128b76407d41320288e6
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