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 vae/diffusion_pytorch_model.bin from lolo503/elireyes: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/lolo503/elireyes/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://lolo503/elireyes/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/lolo503/elireyes/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- 6b3eaca83b15bc6ce56baeecbf5d1e7b339c9241e3b44d643f8230a8a2136cee
- Size of remote file:
- 335 MB
- SHA256:
- e966c4b92d8f548a0ca23c455628f8ed499a8ae34e0987ef28a5386115413e1b
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