Instructions to use GraydientPlatformAPI/model_135k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/model_135k 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/model_135k", 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:
- 561cb739f3f0ebe6c9e3c66757f36bb8454b207d99b3d394fef298aca5e314a3
- Size of remote file:
- 3.44 GB
- SHA256:
- 0fdb6a68527948820cb99719b6d5ff78e7492e2585cccb321f54264c4c0057e3
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