Instructions to use GraydientPlatformAPI/nico with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/nico 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/nico", 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/nico: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/GraydientPlatformAPI/nico/resolve/main/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://GraydientPlatformAPI/nico/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/GraydientPlatformAPI/nico/resolve/main/vae/diffusion_pytorch_model.safetensors
167 MB
- Xet hash:
- 6a484317cb90a224153db25c7e51acc89bd539143ee8df4ef65703dd9fd2ccfe
- Size of remote file:
- 167 MB
- SHA256:
- 970c045bd3b1bcb03ce48b6aa95914fafeafd684744722828cfb3476b6d26d4e
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