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
- Draw Things
- DiffusionBee
| base_model: black-forest-labs/FLUX.1-dev | |
| license: apache-2.0 | |
| tags: | |
| - text-to-image | |
| - flux | |
| - lora | |
| - diffusers | |
| - template:sd-lora | |
| instance_prompt: tutu cat | |
| widget: | |
| - text: tutu cat sitting in car | |
| output: | |
| url: images/example_qcf7xcq03.png | |
| - text: tutu cat in astronaut suit, on moon | |
| output: | |
| url: images/example_hz5sijjs6.png | |
| "Tutu, the most graceful and elegant of female nebelung cats." | |
| # tutu | |
| ## Trigger words | |
| You should use `tutu cat style` to trigger the image generation. |