Instructions to use TheAwakenOne/watercolor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TheAwakenOne/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("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("TheAwakenOne/watercolor") prompt = "WAT3R a watercolor painting of a man wearing a purple neck tie against a white background. Her face is clearly visible, with her eyes looking directly at the viewer and her lips slightly parted" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
-
Remove extra .safetensors files
c1579bf
-
Add generated example (#5)
Verified signature- Add generated example (e6695d3ff78159c45dc3d34d4dd3959c77a52f5d)19a5339 -
Add generated example (#3)
Verified signature- Add generated example (70c5b935bb826e2ff3dc395f1e57a9c220c1b83e)5c39c6c -
Add generated example (#2)
Verified signature- Add generated example (ebed226a5e0cd2555a16769ee3fa367834f6c350)08ba2a4 -
Add generated example (#1)
Verified signature- Add generated example (a2f799f8467b8042139a66fc13807df18862f44a)db2f279 -
Upload folder using huggingface_hub
Verified signature1dde2c9 -
initial commit
Verified signature59ce361