Instructions to use EnD-Diffusers/Poltergeist1pt2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/Poltergeist1pt2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EnD-Diffusers/Poltergeist1pt2", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 42dd70379030c541e535d423f8770973eca1633f04730a087520b37bcc3969d1
- Size of remote file:
- 246 MB
- SHA256:
- 1b5490e84cc2ebaebc431a1285fe9e90ca9982f742fab32984296b099b871a33
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