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:
- 6d8d6599a806c924096eafa78a1bcc6a4e8bede8a4f44b1ec76d8376beeb24be
- Size of remote file:
- 2.13 GB
- SHA256:
- 62231cde9a53aa53eec15ac940d4177b10453a0bc52500363f68e6068a9a946f
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