Instructions to use GraydientPlatformAPI/bdreal-m2050 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/bdreal-m2050 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/bdreal-m2050", 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:
- f6f27cd4c40e7930a531b3337c288611161cf7123cdc5383d13190289a89639a
- Size of remote file:
- 167 MB
- SHA256:
- fac3e53653f2b462892d5a4f6c663299a94fe08ae59a0da4594b70faf82441c2
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