Instructions to use Aktraiser/text_image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Aktraiser/text_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("Aktraiser/text_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 .gitattributes from Aktraiser/text_image: direct link, hf CLI and curl.
- Browser
- Download file 175 Bytes
-
https://huggingface.co/Aktraiser/text_image/resolve/main/.gitattributes
- Command line
-
hf download hf://Aktraiser/text_image/.gitattributes
-
curl -L -o .gitattributes https://huggingface.co/Aktraiser/text_image/resolve/main/.gitattributes
175 Bytes
| *.bin filter=lfs diff=lfs merge=lfs -text | |
| *.safetensors filter=lfs diff=lfs merge=lfs -text | |
| *.pt filter=lfs diff=lfs merge=lfs -text | |
| *.pth filter=lfs diff=lfs merge=lfs -text | |