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:
- 0c49f8cdec2afc757fec4b1f48efda1e1f4401f458993ee8ca9cde88586e04b5
- Size of remote file:
- 246 MB
- SHA256:
- 58f16c1d863060d71c2571580c804e9a43ecf76abbaed95bda1962ca70ab26c3
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