Instructions to use GaumlessGraham/7inchInnerRace1730 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GaumlessGraham/7inchInnerRace1730 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GaumlessGraham/7inchInnerRace1730", 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

- Xet hash:
- c870497d52d039bc111bab67cd6d3c7938571c9e78a61733717f0ea4ea7c5426
- Size of remote file:
- 24.8 kB
- SHA256:
- 77730e48960552a9167d070e37bb77b1fea4892618a74e6aa6c56d94b0a86e2e
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