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", 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:
- 9d7c1237f0de631e976f6450a28cb88fe6275e2f7efa769ec02ff8a1978c186a
- Size of remote file:
- 2.82 GB
- SHA256:
- 1f8784148193f58209c9954f324173cf5f6b04d3cada762d0b98b140d5be2bda
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