Instructions to use matrixrb/waveImage with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use matrixrb/waveImage with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("matrixrb/waveImage", 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/diffusion_pytorch_model.safetensors from matrixrb/waveImage: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/matrixrb/waveImage/resolve/main/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://matrixrb/waveImage/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/matrixrb/waveImage/resolve/main/vae/diffusion_pytorch_model.safetensors
167 MB
- Xet hash:
- b8c85d734e64d4d9ea562310ea3d7b7f2b80f6680906362b65d6fbabf2d85d6f
- Size of remote file:
- 167 MB
- SHA256:
- ff1ba9120cb2f0440d5bacf2e1a25758568b45c5706d4ea3dda911481cd1633e
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