Instructions to use GeekyAbs/SD3_Poisoned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GeekyAbs/SD3_Poisoned with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GeekyAbs/SD3_Poisoned", 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:
- 573daca34c7d63d6e1b519b3f63006c8ee07a3a5304c67d41aecf52efabac6d4
- Size of remote file:
- 11.5 GB
- SHA256:
- d0921715ce20abcba4d79360b9547e7ce57368d9182860cace910d812c50666f
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