Instructions to use 2weaks/konstantindreambooth3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 2weaks/konstantindreambooth3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("2weaks/konstantindreambooth3", 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:
- 077e0ecd8267197c3949e19470854ef5ce5fff491c309b8be7a5599e116f9bbf
- Size of remote file:
- 246 MB
- SHA256:
- af7b28e5854e93d7895ed7de4d340bace9306ced9562b5458b350716f58bed1e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.