Instructions to use lucataco/StartupLogos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lucataco/StartupLogos with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lucataco/StartupLogos", 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
- Draw Things
- DiffusionBee
Update README.md
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by DomRubem - opened
README.md
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license: mit
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tags:
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- text-to-image
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- diffusers
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---
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### StartupLogo style - Dreambooth model trained with [ShivamShrirao/Diffusers](https://github.com/ShivamShrirao/diffusers)
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Proof of concept/attempt at replicating the style of a startup logo site. Run with prompt: `photo in startuplogo style`
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Sample pictures of this concept:
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---
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license: mit
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tags:
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- diffusers
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---
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### StartupLogo style - Dreambooth model trained with [ShivamShrirao/Diffusers](https://github.com/ShivamShrirao/diffusers)
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Proof of concept/attempt at replicating the style of a startup logo site. Run with prompt: `photo in startuplogo style`
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Sample pictures of this concept:
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