Instructions to use graydient/diffusers-spiteanon-gigachad-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use graydient/diffusers-spiteanon-gigachad-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("graydient/diffusers-spiteanon-gigachad-diffusion", 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:
- 55ceb98e7512ee6ef1aa3f35d2f986b3e0a4cbd37263b166638858da4c5d9219
- Size of remote file:
- 492 MB
- SHA256:
- 6d3723bbafc8e93c3e7e2380e65bd8858af827d349d7d3391ca38ba19398b12f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.