Instructions to use GraydientPlatformAPI/firstsin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/firstsin 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/firstsin", 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/firstsin: direct link, hf CLI and curl.
- Browser
- Download file 5.14 GB
-
https://huggingface.co/GraydientPlatformAPI/firstsin/resolve/main/unet/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://GraydientPlatformAPI/firstsin/unet/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/GraydientPlatformAPI/firstsin/resolve/main/unet/diffusion_pytorch_model.safetensors
5.14 GB
- Xet hash:
- faeac8c35670260118e3821ba473f26f67da1e21ac4fde804f56f60685601ca6
- Size of remote file:
- 5.14 GB
- SHA256:
- 2be357455c49c06dff5e6b88614f036f44d57044931c2ecd8e03bac2eb16a6ca
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.