Instructions to use sairajg/Text_To_Image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sairajg/Text_To_Image with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sairajg/Text_To_Image", 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 Settings
- Draw Things
- DiffusionBee
Download unet/abc from sairajg/Text_To_Image: direct link, hf CLI and curl.
- Browser
- Download file 0 Bytes
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https://huggingface.co/sairajg/Text_To_Image/resolve/852b77868d9cb155103f9c130743c5cf3dc6785c/unet/abc
- Command line
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hf download hf://sairajg/Text_To_Image@852b77868d9cb155103f9c130743c5cf3dc6785c/unet/abc
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curl -L -o abc https://huggingface.co/sairajg/Text_To_Image/resolve/852b77868d9cb155103f9c130743c5cf3dc6785c/unet/abc
0 Bytes