Instructions to use zthrx/painting_generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zthrx/painting_generator with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("zthrx/painting_generator", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Convert your photos and artworks into paintings. Use "concep" to activate for example: concept, forest, trees etc. Model trained on brushstrokes, you don't need to put any artist names or style to get nice results.fa709d2 -
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Convert your photos and artworks into paintings. Use "concep" to activate for example: concept, forest, trees etc. Model trained on brushstrokes, you don't need to put any artist names or style to get nice results.3c2cea4 -
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Model trained to convert your photos and artworks into paintings. Use "concep" to activate for example: concept, forest, trees etc. 6a772b8 -
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Painting Generator beta version. This model helps you to convert your photos or artworks into paintings. Created to use for img2img mode Use "concep" in your prompt to activate. For example: concep, forest, trees etc.       License This model is open access and available to all, with a CreativeML OpenRAIL-M license …954aff3 -
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