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
add segmentation GT (v3a label maps) + split manifests
Browse files
seg_data/manifests/oct_v2_eval.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:bae99217cfa221ae10ecd6f465a29dd10b86f2140a2475d366aa58acbcfebba6
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size 245741
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seg_data/manifests/oct_v2_train_all.parquet
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oid sha256:16e2cf108f78aec32927aa5bcba2ccd604022f3ce0fee94eb4d73e450fc3464d
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size 6422581
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seg_data/manifests/v3a_seg_labels.parquet
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oid sha256:ac452e50a1cd309c3587e68fedae5718e3540a42196c1721377cee28dbc44e27
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size 7624171
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seg_data/manifests/v3a_val_seg_labels.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:442089d6b7d71d0d7614f3a31b7f08ab81afeb790e3b7d6194c98c68004d865b
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size 252490
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seg_data/v3a_labels.tar.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:3b913110156d1c0561ea771ddd41e44d28a8e9a03eb0128b76407d41320288e6
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size 754612350
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seg_data/v3a_val_labels.tar.gz
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oid sha256:98312991ebdf0d1a5d19a27bb628e8f3472c569f718b7d3a61ae8db4255fdaf2
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size 6767357
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