Instructions to use HuiZhang0812/CreatiLayout with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use HuiZhang0812/CreatiLayout with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("HuiZhang0812/CreatiLayout", 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
Add pipeline tag and diffusers library
Browse filesThis PR adds the `text-to-image` pipeline tag, making the model discoverable via the filter on the Hub. It also adds the `diffusers` library, enabling the "Use in Diffusers" button for easy integration.
README.md
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license: apache-2.0
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This repository contains the model used in [CreatiLayout: Siamese Multimodal Diffusion Transformer for Creative Layout-to-Image Generation](https://arxiv.org/pdf/2412.03859).
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Code: https://github.com/HuiZhang0812/CreatiLayout.
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license: apache-2.0
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library_name: diffusers
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pipeline_tag: text-to-image
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This repository contains the model used in [CreatiLayout: Siamese Multimodal Diffusion Transformer for Creative Layout-to-Image Generation](https://arxiv.org/pdf/2412.03859).
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Code: https://github.com/HuiZhang0812/CreatiLayout.
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