Instructions to use toothlessjw/capstone_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use toothlessjw/capstone_base with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("toothlessjw/capstone_base", 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
- Xet hash:
- 986a86f50b62e89ba20f1f4b9001ee7d08d68046a665699810f189f34fa7d8d0
- Size of remote file:
- 1.39 GB
- SHA256:
- a9983d81af05664a43bc6bcfbec68517c3aa147c346f2acfd9249d4f0c99dd7c
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