Instructions to use satani/TI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use satani/TI with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("satani/TI", 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 checkpoint-3000/optimizer.bin from satani/TI: direct link, hf CLI and curl.
- Browser
- Download file 304 MB
-
https://huggingface.co/satani/TI/resolve/main/checkpoint-3000/optimizer.bin
- Command line
-
hf download hf://satani/TI/checkpoint-3000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/satani/TI/resolve/main/checkpoint-3000/optimizer.bin
304 MB
- Xet hash:
- 8ce77523a01d90c3972fe8e33fa47ecbe3c12161be821753ebab1fff66c2a522
- Size of remote file:
- 304 MB
- SHA256:
- d3d9524a7a8ff998f5f4355d8c856fcfec5e2f51cd3722cfe00c0eb54418d819
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