Instructions to use trappy/olisyoyoliso-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use trappy/olisyoyoliso-v1 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/olisyoyoliso-v1", 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/olisyoyoliso-v1: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/trappy/olisyoyoliso-v1/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://trappy/olisyoyoliso-v1/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/trappy/olisyoyoliso-v1/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- 7b21b210897a454b2835409a14ac1efdd1f6f86d5e9aca553124373f0f7f580d
- Size of remote file:
- 246 MB
- SHA256:
- d27610246bd8701afb5b2a640f958a91a58f4a9115b0f9968ec8e4e171d3f192
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