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
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license: apache-2.0
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base_model: black-forest-labs/FLUX.1-dev
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license: apache-2.0
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tags:
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- text-to-image
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- flux
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- lora
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- diffusers
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- template:sd-lora
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instance_prompt: tutu cat
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"Tutu, the most graceful and elegant of female nebelung cats."
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# tutu
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## Trigger words
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You should use `tutu cat style` to trigger the image generation.
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