Instructions to use marulyanova/another_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use marulyanova/another_test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("marulyanova/another_test", 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.bin from marulyanova/another_test: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/marulyanova/another_test/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://marulyanova/another_test/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/marulyanova/another_test/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- 644f810a5c0c277f2979dc6a3306a670d777e59545ff4bb559a5756346af9ac4
- Size of remote file:
- 3.44 GB
- SHA256:
- dd25bdaa1bcfb2d7562ed78b5ea8a644af0d836c0b448c20420fb9a8ed6f8b97
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