Instructions to use EnD-Diffusers/PDXLCOMICS_Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/PDXLCOMICS_Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EnD-Diffusers/PDXLCOMICS_Diffusers", 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:
- f307a92919080dd70f1cf37824079b2dbec8e8abcf99e067e903521ede5acf51
- Size of remote file:
- 246 MB
- SHA256:
- dbc0faf880450ddefd3bc1902caca0e40e3978f1125d8a8c11385c981dda4866
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.