Instructions to use dg845/diffusers-cd_cat256_l2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dg845/diffusers-cd_cat256_l2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dg845/diffusers-cd_cat256_l2", 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
- Xet hash:
- 7f5d7038b6e2efa351e78c97492b9f6b3947091e6eb75ef2c6b7acb789edfcd7
- Size of remote file:
- 2.11 GB
- SHA256:
- d90a5ec88e97be85a291297f70ffe8d3a9695f034766e4c84ddc60715b748e5d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.