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
Add generated example
#3
by TheAwakenOne - opened
Generated example for model TheAwakenOne/watercolor.
Prompt: WAT3R a watercolor painting of a soldier in a warzone, the painting has smooth and missing edges of the painting, the watercolor bleeds from the subject to the background. The figure is surrounded by swirling shadows and eerie mist warzone, on a white background, adding a watercolor fell, a very wide view, the artwork remains perfectly centered in the frame,
TheAwakenOne changed pull request status to merged