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:
- cde221263639b9e63b6f60e74c49dbdd60ffe320bf2e731cce17ec157b402819
- Size of remote file:
- 1.97 GB
- SHA256:
- a4c4972695e1c8005e929fe9d8e857f2dbd65967900c195eabe5223567a57794
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