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-2000/optimizer.bin from satani/TI: direct link, hf CLI and curl.
- Browser
- Download file 304 MB
-
https://huggingface.co/satani/TI/resolve/main/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://satani/TI/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/satani/TI/resolve/main/checkpoint-2000/optimizer.bin
304 MB
- Xet hash:
- ebccf4c8ea66640cdf45b68b0f7bcbc0e38264bbe5044dee0621d7dfc1fc0f42
- Size of remote file:
- 304 MB
- SHA256:
- 146a88034623071286143d978019966cc4b29232b08db8f8f5b9c1bb2c8efdcb
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