Instructions to use TheBirdLegacy/OSD-Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TheBirdLegacy/OSD-Model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TheBirdLegacy/OSD-Model", 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
Download checkpoint-1500/pytorch_model.bin from TheBirdLegacy/OSD-Model: direct link, hf CLI and curl.
- Browser
- Download file 3.46 GB
-
https://huggingface.co/TheBirdLegacy/OSD-Model/resolve/main/checkpoint-1500/pytorch_model.bin
- Command line
-
hf download hf://TheBirdLegacy/OSD-Model/checkpoint-1500/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/TheBirdLegacy/OSD-Model/resolve/main/checkpoint-1500/pytorch_model.bin
3.46 GB
- Xet hash:
- 64f6ffb42753af1d4166dad06d17cfe207fda8563a28809eaa6f0e59d3b1bf0a
- Size of remote file:
- 3.46 GB
- SHA256:
- b90a2f25960268024daeeb40c07ab45823e577d96dde52386403db455e757408
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