Instructions to use GraydientPlatformAPI/grimlock-void with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/grimlock-void 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/grimlock-void", 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 unet/diffusion_pytorch_model.safetensors from GraydientPlatformAPI/grimlock-void: direct link, hf CLI and curl.
- Browser
- Download file 5.14 GB
-
https://huggingface.co/GraydientPlatformAPI/grimlock-void/resolve/main/unet/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://GraydientPlatformAPI/grimlock-void/unet/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/GraydientPlatformAPI/grimlock-void/resolve/main/unet/diffusion_pytorch_model.safetensors
5.14 GB
- Xet hash:
- a508f13f531e0bf2c3fb87512909bf9d815ab5324c2e23ba2f6d6b0d0781ebc2
- Size of remote file:
- 5.14 GB
- SHA256:
- fdf05e74168575bef54e2ce45153b6da16cf1b718dcbfe19f9198d3e5e095c15
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