Instructions to use Thihasoe/wd04ths with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Thihasoe/wd04ths with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("rupeshs/LCM-runwayml-stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Thihasoe/wd04ths") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
wd04ths
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- Prompt
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Model description
wedding lora
Trigger words
You should use wd04ths to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
- Downloads last month
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Model tree for Thihasoe/wd04ths
Base model
rupeshs/LCM-runwayml-stable-diffusion-v1-5