Instructions to use saddam213/Components with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use saddam213/Components with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("saddam213/Components", 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:
- 9069329018f7f8d3f6026ff4d1f8af5a1dc6dddc72473bab7b10a5eec3ae8a15
- Size of remote file:
- 269 MB
- SHA256:
- fdcf606524892e35b270b96fc8bbd8d77e615ab882675a049f6e7c2ff6b71da3
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