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/CharacterChan/text_encoder/pytorch_model.bin from Guizmus/SD_DreamerCommunities_Collection: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/Guizmus/SD_DreamerCommunities_Collection/resolve/main/diffusers/CharacterChan/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Guizmus/SD_DreamerCommunities_Collection/diffusers/CharacterChan/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Guizmus/SD_DreamerCommunities_Collection/resolve/main/diffusers/CharacterChan/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 8b6ca9d19ddc6e4e594e52d9168b3c4c2b6e44a642c417d2f154c562a15fe5b0
- Size of remote file:
- 492 MB
- SHA256:
- 1cb78a8f4fec46b47248db7639eee8207b449c530b9a3a2305a22149de9a4ca2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.