Instructions to use trappy/lisyoyoliso-superseded with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use trappy/lisyoyoliso-superseded with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("trappy/lisyoyoliso-superseded", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] -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Download text_encoder/pytorch_model.bin from trappy/lisyoyoliso-superseded: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/trappy/lisyoyoliso-superseded/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://trappy/lisyoyoliso-superseded/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/trappy/lisyoyoliso-superseded/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 2eaeb201ada6e1a8db4eab2b64b658eea42e2543ebe389d9a7c5b3ee3d9f2691
- Size of remote file:
- 492 MB
- SHA256:
- 4608139b454ce4f85c5daad8e3b18e54d6f642d0ea0f06e10871b5976ed7e88a
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