Instructions to use bilalfaye/dpm-custom-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bilalfaye/dpm-custom-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("bilalfaye/dpm-custom-model", 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:
- fde774528d1b4fcf9e315cd2f1de20ecdb6d14948e6a82d6d5b33f8ee82abb5d
- Size of remote file:
- 144 MB
- SHA256:
- d8c4e399847fbd10162010f920b67e02a86b51d9a85f62ab4f465bc4720338ad
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