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
metadata
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.