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", torch_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:
- 3cbb49692c9e6334cb8b1bc50d0de7c6be061093d7ec811d233fdee01f1b8a85
- Size of remote file:
- 2.13 GB
- SHA256:
- 5cccb5dc967b21affad9a44dfae870c0aa4e0aa25fecf205a14dc2ca3c9d9002
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