Instructions to use stablediffusionapi/reallife_v60 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/reallife_v60 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/reallife_v60", 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 unet/diffusion_pytorch_model.bin from stablediffusionapi/reallife_v60: direct link, hf CLI and curl.
- Browser
- Download file 1.72 GB
-
https://huggingface.co/stablediffusionapi/reallife_v60/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://stablediffusionapi/reallife_v60/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/stablediffusionapi/reallife_v60/resolve/main/unet/diffusion_pytorch_model.bin
1.72 GB
- Xet hash:
- 604e8fe27bfb8c7e2029e8c9569def51f0133d5b592f43172eac504155a3a1ba
- Size of remote file:
- 1.72 GB
- SHA256:
- 12a6e8464e502fd150a6ea413dadee0637ecc4cefe3715ece64bc63a14f47600
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