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
#4
by TheAwakenOne - opened
- README.md +7 -0
- images/example_awxqgdmaq.png +0 -0
README.md
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@@ -56,6 +56,13 @@ widget:
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wide view, the artwork remains perfectly centered in the frame,
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output:
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url: images/example_b7zzko8tc.png
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: WAT3R
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license: other
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wide view, the artwork remains perfectly centered in the frame,
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output:
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url: images/example_b7zzko8tc.png
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- text: >-
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WAT3R a watercolor painting of a house in the middle of a field surrounded
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by trees, plants, grass, and a river. The sky is visible in the background,
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creating a peaceful atmosphere., Captured in a panoramic view, the artwork
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remains perfectly centered in the frame,
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output:
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url: images/example_awxqgdmaq.png
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: WAT3R
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license: other
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images/example_awxqgdmaq.png
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