Instructions to use Guizmus/SD_DreamerCommunities_Collection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Guizmus/SD_DreamerCommunities_Collection with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Guizmus/SD_DreamerCommunities_Collection", 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
Download diffusers/CreatureChan/vae/diffusion_pytorch_model.bin from Guizmus/SD_DreamerCommunities_Collection: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/Guizmus/SD_DreamerCommunities_Collection/resolve/main/diffusers/CreatureChan/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Guizmus/SD_DreamerCommunities_Collection/diffusers/CreatureChan/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Guizmus/SD_DreamerCommunities_Collection/resolve/main/diffusers/CreatureChan/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- a3c0796d7da1c9a19396e3ec25dd694478e47afcd5ac9d66999147744614fde8
- Size of remote file:
- 335 MB
- SHA256:
- 3a407758a137a1c6bfcd11e154eb06e4dcffa996009e46eb27d1af04a81e7e74
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