Instructions to use mattlc/deepgui with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mattlc/deepgui with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mattlc/deepgui", 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:
- 8ae2ffae7d208ba551ddf03a9cc5e8d1a846437c29e1258ae8e3b1aec6be72c3
- Size of remote file:
- 1.46 GB
- SHA256:
- 6166c0fbcba39b116055580f79867f4a0234b1bdce3280a4a4ff6cd90fa28b45
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