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:
- 02b1dcba7c44fe638454aae0976c9b5d894261f8edeb308d681a81c8069734e5
- Size of remote file:
- 4.27 GB
- SHA256:
- 30b51b84341dda98f9b2ba7cf97793c762beada2a9ba3000a1a6f0893b453864
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