Instructions to use GraydientPlatformAPI/trslij with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/trslij with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/trslij", 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:
- e547ead62a1d3296d899b34b313a15e73c3a8fec85d55f450b78e743dde748ee
- Size of remote file:
- 246 MB
- SHA256:
- eddec2486cc1475c36438783f1d7002064b189a84d7d4923de7dba8849b663b5
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