Instructions to use Yesianrohn/TextSSR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yesianrohn/TextSSR with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yesianrohn/TextSSR", 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:
- 7d7968887f4b2a2e7be97f27b61e49ebb0186e38c87278e607ed502d1b209bc9
- Size of remote file:
- 335 MB
- SHA256:
- eda2df094d41db644a3f7342e1c12a5bc634f3216b5d049aa289eb17c3344fe3
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