Instructions to use Laughify/among-us-logic-ai-characters with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Laughify/among-us-logic-ai-characters with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Laughify/among-us-logic-ai-characters", 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 text_encoder/pytorch_model.bin from Laughify/among-us-logic-ai-characters: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/Laughify/among-us-logic-ai-characters/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Laughify/among-us-logic-ai-characters/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Laughify/among-us-logic-ai-characters/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 38e36896423de81a86a7735ab2ead8bb90b05a62f735d3e70d247c07a49b2f12
- Size of remote file:
- 492 MB
- SHA256:
- 2d946c90607e80c3af6de3c7cd802e1428d015e0ff2386cf15141a0333badf02
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.