Instructions to use FudanCVL/GlyphPrinter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FudanCVL/GlyphPrinter with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("FudanCVL/GlyphPrinter", 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

- Xet hash:
- 4be5f3066aa322809d3d43fd4e0053dbc3eedb5b04c5016556e49c53f1af78e8
- Size of remote file:
- 2.72 MB
- SHA256:
- 666ae3d87ccc3777f5e7f459170dd35b91a8d040e63d22509f90db745fa9b550
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