Instructions to use satani/phtben-7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use satani/phtben-7 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-7", 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:
- 098cf1c8d33f5e0f0d855bd4019a1c2ccbe83bfc3a91173d1f769955c10b781d
- Size of remote file:
- 3.44 GB
- SHA256:
- b23c047bf1e57c964fed7532c73216554cbe79fecdae0b3be062989734902347
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