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:
- 6ece1635b6ca27261cf8c728160abf5ba4c2feb9f8a3d41d0ad8a7e6adab4e95
- Size of remote file:
- 3.44 GB
- SHA256:
- 5872bd22e7b8bbf83e792d530c547121e0bddb980088f115c766a30a866464c8
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