Instructions to use codebuilt/dave with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use codebuilt/dave with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("codebuilt/dave") prompt = "DAVE" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 3743524b303ba9b4caffdceed35f6b713aa5f3cb7792a909f90b2dbea45fba24
- Size of remote file:
- 344 MB
- SHA256:
- 69d8185d8c0ca8b51c9eea05b260e1a87cd81d2057c4cbe856cec32712ecb9e5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.