Instructions to use Antraxas/test1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Antraxas/test1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Antraxas/test1", 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 Antraxas/test1: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/Antraxas/test1/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Antraxas/test1/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Antraxas/test1/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- a08a7cadd98aeba94fc8b6a3fb808e47d009c99487a5f68f921d229ea79e6f23
- Size of remote file:
- 3.44 GB
- SHA256:
- bdaca8a78426fe4227a6bbed0c75685acc200ac61ace0fe5e6b546b69528516c
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