Instructions to use 8glabs/Deliberate_Jennifer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 8glabs/Deliberate_Jennifer with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("8glabs/Deliberate_Jennifer", 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:
- bf161d9f017aa544f6c68ad281addae19bede55ebcc6f58d86d26338ff134133
- Size of remote file:
- 492 MB
- SHA256:
- 8b40a3429e6d8e741b812a90dcfb771c820f4c0a0f96779a85306d826eff5902
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