Instructions to use Revanthraja/Text_to_Vision with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Revanthraja/Text_to_Vision with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Revanthraja/Text_to_Vision", torch_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:
- 76d8d9c2efb1cb01fb1e35df95bce552bf3e285c3ce5a7c547ec60575de01248
- Size of remote file:
- 681 MB
- SHA256:
- 53bd18c6d0fc75208fa47ce2b534ff9878280a6d6867a4108d9160809f3a90a4
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