Instructions to use TDN-M/vietnamese-paint-art with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TDN-M/vietnamese-paint-art with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-3.5-large", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("TDN-M/vietnamese-paint-art") prompt = "vietnamese-art-painting of a young woman in traditional costume" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: vietnamese-art-painting of a young woman in traditional costume
output:
url: images/va4.png
- text: a group of people in traditional festival, vietnamese painting art
output:
url: images/va2.png
- text: viet-art, painting of a man in ancient clothes
output:
url: images/va3.png
base_model: stabilityai/stable-diffusion-3.5-large
instance_prompt: viet-art
license: other
license_name: stabilityai-ai-community
license_link: >-
https://huggingface.co/stabilityai/stable-diffusion-3-medium/blob/main/LICENSE.md
viet-painting-art

- Prompt
- vietnamese-art-painting of a young woman in traditional costume

- Prompt
- a group of people in traditional festival, vietnamese painting art

- Prompt
- viet-art, painting of a man in ancient clothes
Trigger words
You should use viet-art to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.