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 learned_embeds.bin from satani/TI: direct link, hf CLI and curl.
- Browser
- Download file 3.9 kB
-
https://huggingface.co/satani/TI/resolve/main/learned_embeds.bin
- Command line
-
hf download hf://satani/TI/learned_embeds.bin
-
curl -L -o learned_embeds.bin https://huggingface.co/satani/TI/resolve/main/learned_embeds.bin
3.9 kB
- Xet hash:
- 81c32bace509ebf27703638a5acfb44d2ad1a61db1fe7cfd69418eb22513e1b8
- Size of remote file:
- 3.9 kB
- SHA256:
- 43faf95d0309bf8c95ffe7c6a4a759115e7b97f3ea681d400bdfb11f81eba76d
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