Instructions to use kadirnar/DreamShaper_v6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kadirnar/DreamShaper_v6 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kadirnar/DreamShaper_v6", 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 text_encoder/pytorch_model.bin from kadirnar/DreamShaper_v6: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/kadirnar/DreamShaper_v6/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://kadirnar/DreamShaper_v6/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/kadirnar/DreamShaper_v6/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 0da45d70135fc93b4c7b1c1ca773b561960fafbf13e08f081e5d3ab47728b5b2
- Size of remote file:
- 492 MB
- SHA256:
- 88ca38c58e22ec05e787e50dc64187b802c67b780dd4ca72c0b07970191962e8
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