Instructions to use arpitjadon/OVB with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use arpitjadon/OVB with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("arpitjadon/OVB", 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
Commit History
Sanitize dataset and training configuration paths 488c601
Arpit Jadon commited on
Rename 4B zeroshot checkpoint directory 29843e4
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Separate ablations and final checkpoint models 9b51dad
Arpit Jadon commited on
Organize 9B checkpoint ablation groups 813a529
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Organize zeroshot checkpoints under 4B and 9B e7a0c99
Arpit Jadon commited on
Rename ovb_f2k9b checkpoint directory 6f80f91
Arpit Jadon commited on
Move checkpoint-avg85000-100000 from 9B to 4B 31bf599
Arpit Jadon commited on