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:
- d48585266fdcd372c723fc6098f6a1ceaa98a85c5e616b3272c5e200e332498d
- Size of remote file:
- 2.82 GB
- SHA256:
- cf7b342dd7c5bd979c8836689e24cd1e8aa41a735c41bd4164ac84759e56785c
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