Instructions to use GraydientPlatformAPI/anylora-linear with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/anylora-linear with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/anylora-linear", 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 GraydientPlatformAPI/anylora-linear: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/GraydientPlatformAPI/anylora-linear/resolve/main/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://GraydientPlatformAPI/anylora-linear/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/GraydientPlatformAPI/anylora-linear/resolve/main/vae/diffusion_pytorch_model.safetensors
167 MB
- Xet hash:
- c28ce68745b30a390ba8c8007a4387ebaaac7eda819be48d57b447d776fb34c8
- Size of remote file:
- 167 MB
- SHA256:
- 509e152e04d8611652bb63f999aa88fe61f38927a85f091ac213b260bc29e208
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