Text-to-Image
Diffusers
English
structured-diffusion-guidance
image-generation
Eval Results (legacy)
Instructions to use creative-graphic-design/structure-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use creative-graphic-design/structure-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("creative-graphic-design/structure-diffusion", 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
Publish Structure Diffusion pipeline at c2b5a63ce2c2
Browse files
README.md
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Install the package from this repository archive and download the English parser models before the first inference:
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```bash
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pip install "structure-diffusion @ https://github.com/creative-graphic-design/design-generators/archive/
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python -c "import stanza; stanza.download('en', processors='tokenize,pos,constituency')"
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```
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Install the package from this repository archive and download the English parser models before the first inference:
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```bash
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pip install "structure-diffusion @ https://github.com/creative-graphic-design/design-generators/archive/c2b5a63ce2c2e0247925f621a0787f71f36f78d0.zip#subdirectory=models/structure-diffusion"
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python -c "import stanza; stanza.download('en', processors='tokenize,pos,constituency')"
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```
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