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/AnimeStyle/unet/diffusion_pytorch_model.bin from Guizmus/SD_DreamerCommunities_Collection: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/Guizmus/SD_DreamerCommunities_Collection/resolve/main/diffusers/AnimeStyle/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Guizmus/SD_DreamerCommunities_Collection/diffusers/AnimeStyle/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Guizmus/SD_DreamerCommunities_Collection/resolve/main/diffusers/AnimeStyle/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- 353ad7eddb074c295dbc4572de111a207f0732c008bff7154fc123ac118e2277
- Size of remote file:
- 3.44 GB
- SHA256:
- a8ab275da85b3ff348e1e4a60cda864dc14acbb0676dd3f813160913c29bd740
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