Instructions to use sttkw/TAID-Models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sttkw/TAID-Models with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sttkw/TAID-Models", 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 atmosphere/terrain_difference.pt from sttkw/TAID-Models: direct link, hf CLI and curl.
- Browser
- Download file 25.8 MB
-
https://huggingface.co/sttkw/TAID-Models/resolve/main/atmosphere/terrain_difference.pt
- Command line
-
hf download hf://sttkw/TAID-Models/atmosphere/terrain_difference.pt
-
curl -L -o terrain_difference.pt https://huggingface.co/sttkw/TAID-Models/resolve/main/atmosphere/terrain_difference.pt
25.8 MB
- Xet hash:
- 5891c7e180196ad38cff3abbf21be36f99ded3c65372157168e97e5d53889be9
- Size of remote file:
- 25.8 MB
- SHA256:
- cb5dcc881ad0e7d096dd3c36cd65e9b51bb549958bc6ce5121a3b85eaf647255
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