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:
- ed12f1f1b80386a2a8e178c71efc188d9dc113ab45f3c11950e8112618d42276
- Size of remote file:
- 335 MB
- SHA256:
- 8b146260420d7e76b42421aa3149009393b62a1f9cfbed418d66c65904a493f5
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