Instructions to use 8glabs/Deliberate_chasebailey with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 8glabs/Deliberate_chasebailey 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_chasebailey", 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:
- dcd8d66048956f0ac2807e32ea8b763b4d2ce52ffa84690d9797861a4058725f
- Size of remote file:
- 492 MB
- SHA256:
- ad325527d607c1bbd51ab2f9212c99579ebc989338be338a55a59acca344bfdf
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.