Instructions to use milano486/protogen58_diffuse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use milano486/protogen58_diffuse with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("milano486/protogen58_diffuse", 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:
- 34dc01c9a0153a2f897411403857007a167a2ca9e28ee30f1a58bcdcba4cacef
- Size of remote file:
- 3.44 GB
- SHA256:
- f1a73cc9fbeabbd7a2e27156ea85d239f6706b6351b1659c26c4e50b021ac603
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