Instructions to use dreamcomputing/ProtoNaut_experimental with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dreamcomputing/ProtoNaut_experimental with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dreamcomputing/ProtoNaut_experimental", 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:
- 55c5341a2996cae3d39d4f9a6f27c2f909941cdcf85e9bbd5b1d74efbec84c5f
- Size of remote file:
- 7.62 GB
- SHA256:
- 53823f159db70d1fc890b687d76622c15b69145decb8635421a0519c5a4632eb
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