Instructions to use kIDAa/text_art with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kIDAa/text_art with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kIDAa/text_art", 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 workflow.jpg from kIDAa/text_art: direct link, hf CLI and curl.
- Browser
- Download file 192 kB
-
https://huggingface.co/kIDAa/text_art/resolve/main/workflow.jpg
- Command line
-
hf download hf://kIDAa/text_art/workflow.jpg
-
curl -L -o workflow.jpg https://huggingface.co/kIDAa/text_art/resolve/main/workflow.jpg
192 kB
