Instructions to use lolo503/elireyes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lolo503/elireyes with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lolo503/elireyes", 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 lolo503/elireyes: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/lolo503/elireyes/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://lolo503/elireyes/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/lolo503/elireyes/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- 09cf927847bb977627798b8527be01740d4adb32ffe42726a8ff03f8ef144d1b
- Size of remote file:
- 246 MB
- SHA256:
- 1efa91040b3b9575a0dd4165639f72aca7802d9df612ae5f5261704744adf2e5
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