Instructions to use huy2001/tattoo_style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use huy2001/tattoo_style with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SG161222/Realistic_Vision_V6.0_B1_noVAE", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("huy2001/tattoo_style") prompt = "A Traditional tattoo design of a bold american eagle sitting on a tree branch, set on a pure white background" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
tattoo_style

- Prompt
- A Traditional tattoo design of a bold american eagle sitting on a tree branch, set on a pure white background

- Prompt
- A Traditional tattoo design of a bold american eagle sitting on a tree branch, set on a pure white background
Trigger words
You should use tattoo to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for huy2001/tattoo_style
Base model
SG161222/Realistic_Vision_V6.0_B1_noVAE