Instructions to use dobby-canvas/dobby-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dobby-canvas/dobby-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dobby-canvas/dobby-model", 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:
- 66731e8b6cbc40488e517a121913a06019d2d479c33150f9c261e6cf5dbe3626
- Size of remote file:
- 3.44 GB
- SHA256:
- 98a57c7d2667b1c768d809b5cd1c9b3e7414626cd1794f74e51414d7f0c38e6d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.