Instructions to use phoenix-1708/drned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use phoenix-1708/drned with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("phoenix-1708/drned", 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:
- 75c34f4e98a00477d6536ad8a5d298a3dcd2fe9cf1581be7094f4e61155a4ee9
- Size of remote file:
- 335 MB
- SHA256:
- de7dcee20b94fd1846d1a5b900f04366b01a869aefd3e5c547e473c0336977bd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.