Instructions to use katuni4ka/tiny-random-sana-sprint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use katuni4ka/tiny-random-sana-sprint with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("katuni4ka/tiny-random-sana-sprint", 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
Download tokenizer/tokenizer.model from katuni4ka/tiny-random-sana-sprint: direct link, hf CLI and curl.
- Browser
- Download file 4.24 MB
-
https://huggingface.co/katuni4ka/tiny-random-sana-sprint/resolve/main/tokenizer/tokenizer.model
- Command line
-
hf download hf://katuni4ka/tiny-random-sana-sprint/tokenizer/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/katuni4ka/tiny-random-sana-sprint/resolve/main/tokenizer/tokenizer.model
4.24 MB
- Xet hash:
- 0eaaacac15668c43fce4a8632fde98375b76196743c777d1c98052826e652d31
- Size of remote file:
- 4.24 MB
- SHA256:
- 6969e64047744a44bb3abfb5c50f8de0f7ed8b571d5444426ef931f651d1a0ef
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