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
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Download README.md from sairajg/Text_To_Image: direct link, hf CLI and curl.
- Browser
- Download file 89 Bytes
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https://huggingface.co/sairajg/Text_To_Image/resolve/main/README.md
- Command line
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hf download hf://sairajg/Text_To_Image/README.md
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curl -L -o README.md https://huggingface.co/sairajg/Text_To_Image/resolve/main/README.md
89 Bytes
metadata
tags:
- text-to-image
pinned: true
pipeline_tag: text-to-image