Instructions to use sevenknight/ter123 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sevenknight/ter123 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sevenknight/ter123", 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:
- 575153ec36cddbc16a5bfe585d0d6ec1153c56cfad7948ccb4a52dfbccb30cb3
- Size of remote file:
- 492 MB
- SHA256:
- 80736c6a8ae44c05973fe95cecabf75136d2b7378c04f7ff433065deadbca928
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