Instructions to use GraydientPlatformAPI/realstock2-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/realstock2-xl 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/realstock2-xl", 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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 866e233bf6c047bca137b7ff3ac18ed93c78aa5544b91cb6d3e6d86df113b2c2
- Size of remote file:
- 246 MB
- SHA256:
- 11e0d93fae9d2dc00c13576f894443b25a502a2464029b08b1fade27b40fd135
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