Instructions to use BrianPistar/focplanet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BrianPistar/focplanet with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("BrianPistar/focplanet", 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:
- 9e9fef319b009116c0715f505db39d79f7c16033146d4a568547f325905ae516
- Size of remote file:
- 492 MB
- SHA256:
- 63b17bf5c0b80c7ab7ea5b2a892b145b430492b69637a45099a115b7365b7bb4
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