Instructions to use timduck8/pdv5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use timduck8/pdv5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("timduck8/pdv5", 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:
- f3720c63e7ced67118c853a6ab1863d3e4f68e3d65b873787bbe35aee1bb8b91
- Size of remote file:
- 167 MB
- SHA256:
- 2ea437331d639f9b7384dd55dee43bc7d5a88249ed9c50ed25b1f15784d66d77
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