Instructions to use Snapmap/diffcheckstuffiused with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Snapmap/diffcheckstuffiused with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Snapmap/diffcheckstuffiused", 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:
- d12466efc3b119046850ad752714136ce4f11e1d03e95d7905cbed2a4319668d
- Size of remote file:
- 140 MB
- SHA256:
- 0335cf48ad654ef79fc14aa97146f0c143c499b0602b2636e2be112f4cd403cf
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.