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:
- 11123dbe4f5dc84a0f1907ceb27b160e0c1d3647b338c20c371b8a5e62216ff0
- Size of remote file:
- 2.13 GB
- SHA256:
- cb985c75c56e40683adba1e7f3c5b6feb2562640d969ed0e8d112b6d30a92f16
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