Image-to-Image
Diffusers
Safetensors
PaddlePaddle
Chinese
English
thangka
image-restoration
stable-diffusion
lora
cultural-heritage
buddhist-art
Instructions to use Wangchuk1376/ThangkaModels with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Wangchuk1376/ThangkaModels with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Wangchuk1376/ThangkaModels") prompt = "traditional thangka art, Shakyamuni Buddha, detailed painting, vibrant colors, gold outlines" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- Xet hash:
- 5ee231b3a04340de8b9c814ee219d50c500d1894216729d97cb2e2fa29ada237
- Size of remote file:
- 1.36 GB
- SHA256:
- ef83a23e40ff004d271c67fe8c2b3532557f493c47f287329228b1d76dac8383
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