Instructions to use satani/phtben-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use satani/phtben-4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("satani/phtben-4", 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
- Draw Things
- DiffusionBee
- Xet hash:
- cb6ac19e69dfeb8f1d7b17ee0b93ee8a70dcf7a4b91c7e93084fe9f872e1fb7b
- Size of remote file:
- 2.13 GB
- SHA256:
- f8f6ee598c07d0209d36a18348fff7b87dff44198e8c3365f74b21ff2d2779f5
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