Instructions to use AlYa1141/another-qr-code-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlYa1141/another-qr-code-generator with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AlYa1141/another-qr-code-generator", 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 AlYa1141/another-qr-code-generator: direct link, hf CLI and curl.
- Browser
- Download file 1.45 GB
-
https://huggingface.co/AlYa1141/another-qr-code-generator/resolve/main/diffusion_pytorch_model.bin
- Command line
-
hf download hf://AlYa1141/another-qr-code-generator/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/AlYa1141/another-qr-code-generator/resolve/main/diffusion_pytorch_model.bin
1.45 GB
- Xet hash:
- b770bb1b0b22f5d6033985706c8a7c9dfb610fe3872809293f8dffc4afd5459b
- Size of remote file:
- 1.45 GB
- SHA256:
- 29bc1cbd7de2e4bee030184321724bd0c6a1724dd815eb8e593379c39badfdf2
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