Instructions to use lora-library/watercolor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lora-library/watercolor 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-2-1-base", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("lora-library/watercolor") prompt = "mp_watercolor" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-700/optimizer.bin from lora-library/watercolor: direct link, hf CLI and curl.
- Browser
- Download file 3.49 MB
-
https://huggingface.co/lora-library/watercolor/resolve/main/checkpoint-700/optimizer.bin
- Command line
-
hf download hf://lora-library/watercolor/checkpoint-700/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/lora-library/watercolor/resolve/main/checkpoint-700/optimizer.bin
3.49 MB
- Xet hash:
- 266d0cdad516f93bb7e606407dbc0d5190e893bc62ac9740c7be0d007a6f5f42
- Size of remote file:
- 3.49 MB
- SHA256:
- 476f0faea82f5138b797f424172463a44a65dd2ae923a6b17fd0a7b596976fd6
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