Instructions to use anuroopreddy21/text-to-image-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use anuroopreddy21/text-to-image-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("anuroopreddy21/text-to-image-model", 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
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 5f61641173c6fcaa34aca9905b28c648e05a6f715a0bfdf74fc93ae1710027e7
- Size of remote file:
- 492 MB
- SHA256:
- 39e4bb52c8c82d09cd60d1e0f7d4063bd5f3bed98308bf500c9dfa360f9d6685
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