Instructions to use sunnythakkar/sn6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sunnythakkar/sn6 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sunnythakkar/sn6", 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
Download diffusion_pytorch_model.bin from sunnythakkar/sn6: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/sunnythakkar/sn6/resolve/main/diffusion_pytorch_model.bin
- Command line
-
hf download hf://sunnythakkar/sn6/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/sunnythakkar/sn6/resolve/main/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- a3e4986ddc234848e3b2b63288ea01a4d47553ceed4443f02bde51d96fe38120
- Size of remote file:
- 3.44 GB
- SHA256:
- fb56f4e2e83364e245ae40cc86ae8dad71050f5a1c1f67125bca17df7310abc5
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