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:
- 3a19abf4f35776a622baa454758273c613a0a42cd37a9a0ec781a19642daf251
- Size of remote file:
- 1.39 GB
- SHA256:
- 5acf3c0701487a68dada758927748efc6ffaa49a08ba75807541655c85be7bf7
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