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
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]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.
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Model tree for TDN-M/vietnamese-paint-art
Base model
stabilityai/stable-diffusion-3.5-large
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