Instructions to use doohickey/neopian-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use doohickey/neopian-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("doohickey/neopian-diffusion", 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
- Draw Things
- DiffusionBee
- Xet hash:
- c9bfcec6f04c3954226f1b87a15bb99408d7a1cdfb78aa0db57d482ed480b439
- Size of remote file:
- 2.13 GB
- SHA256:
- ecae54d12bb3510296ae218a31f9b7d0bac66f92dc30792087558886200c063a
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