Instructions to use udg/epcdif with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use udg/epcdif with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("udg/epcdif", 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:
- 99482985225ca05723fec9ccd9d1806920e187fd8bb9bda234bde9cacd88f447
- Size of remote file:
- 492 MB
- SHA256:
- 9d35f011915f8c55b3a49bb4d8b500eee5e4aa5d2b4ea27c3eb4bf2a48a98790
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