Instructions to use GraydientPlatformAPI/dr34m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/dr34m 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/dr34m", 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:
- 23ae167cb3d3ec72cfb47ea12ea5d799f31b6d5cf2f5356d454429b65a346cd8
- Size of remote file:
- 1.72 GB
- SHA256:
- 8be04c9f3f08040b02c94efc8366508689d9526f847da0987b04812b24f4c44d
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