Instructions to use stablediffusionapi/summershard-environmental with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/summershard-environmental 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/summershard-environmental", 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 stablediffusionapi/summershard-environmental: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/stablediffusionapi/summershard-environmental/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://stablediffusionapi/summershard-environmental/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/stablediffusionapi/summershard-environmental/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- 0de763f2f550a547f1b0e8b7e4ed1f7b8b7c9dce552054f9b46afa1a91cd470e
- Size of remote file:
- 335 MB
- SHA256:
- df29babd3ecf50b82dcf1218c317b454cc17ebc4953d1db6218a2efd02644920
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