Instructions to use satani/phtben-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use satani/phtben-2 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-2", 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:
- 104a838d2bb5d3b1c496d5ad2e1f8cb97fd8a4cacd8aa59ea5c28a2d6df6d4d0
- Size of remote file:
- 335 MB
- SHA256:
- 4abd10cb609331be4c864a636594e11a32e99dbd9b78d4f79784b7b03923748f
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