Instructions to use bochen2079/tutu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bochen2079/tutu 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("bochen2079/tutu") prompt = "tutu cat sitting in car" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download modelcard from bochen2079/tutu: direct link, hf CLI and curl.
- Browser
- Download file 72 Bytes
-
https://huggingface.co/bochen2079/tutu/resolve/main/modelcard
- Command line
-
hf download hf://bochen2079/tutu/modelcard
-
curl -L -o modelcard https://huggingface.co/bochen2079/tutu/resolve/main/modelcard
72 Bytes
| license: apache-2.0 | |
| language: | |
| - en | |
| base_model: | |
| - bochen2079/tutu | |