Instructions to use softwareweaver/dreamshaper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use softwareweaver/dreamshaper with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("softwareweaver/dreamshaper", 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_decoder/model.onnx from softwareweaver/dreamshaper: direct link, hf CLI and curl.
- Browser
- Download file 99.1 MB
-
https://huggingface.co/softwareweaver/dreamshaper/resolve/main/vae_decoder/model.onnx
- Command line
-
hf download hf://softwareweaver/dreamshaper/vae_decoder/model.onnx
-
curl -L -o model.onnx https://huggingface.co/softwareweaver/dreamshaper/resolve/main/vae_decoder/model.onnx
99.1 MB
- Xet hash:
- 4abd197606b47c06bf65c274e4f01f30cd056b0a003ff5511d0af91454460591
- Size of remote file:
- 99.1 MB
- SHA256:
- f82ec277ab5f558ea58e650833072d9258db0edeeddfda9021d4b59ef07506b2
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