Instructions to use ivanmikhnenkov/tinydit-256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ivanmikhnenkov/tinydit-256 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ivanmikhnenkov/tinydit-256", 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 progress.jpg from ivanmikhnenkov/tinydit-256: direct link, hf CLI and curl.
- Browser
- Download file 102 kB
-
https://huggingface.co/ivanmikhnenkov/tinydit-256/resolve/main/progress.jpg
- Command line
-
hf download hf://ivanmikhnenkov/tinydit-256/progress.jpg
-
curl -L -o progress.jpg https://huggingface.co/ivanmikhnenkov/tinydit-256/resolve/main/progress.jpg
102 kB

- Xet hash:
- f500fd4ea72fa98e22f19336bc3dd45eeb948c149c296243bdc80135cdc5236a
- Size of remote file:
- 102 kB
- SHA256:
- 04b39706f60e628491c5669eb0c3218c6e5a5648f535b0d99bb054956e124563
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