Instructions to use GraydientPlatformAPI/data2-sdxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/data2-sdxl 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/data2-sdxl", 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:
- cc0cffaf9c00a26fff40d27f0b7cedfca497b346d78c419ccf9bf8ea7739b058
- Size of remote file:
- 1.39 GB
- SHA256:
- ccf9b3d39d4427b1e7ffd39451af2b199bb1e3c622977389752001b3984a2e78
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