Instructions to use Nacholmo/controlnet-qr-pattern-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Nacholmo/controlnet-qr-pattern-v2 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Nacholmo/controlnet-qr-pattern-v2") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
Download checkpoint-16500/scheduler.bin from Nacholmo/controlnet-qr-pattern-v2: direct link, hf CLI and curl.
- Browser
- Download file 563 Bytes
-
https://huggingface.co/Nacholmo/controlnet-qr-pattern-v2/resolve/main/checkpoint-16500/scheduler.bin
- Command line
-
hf download hf://Nacholmo/controlnet-qr-pattern-v2/checkpoint-16500/scheduler.bin
-
curl -L -o scheduler.bin https://huggingface.co/Nacholmo/controlnet-qr-pattern-v2/resolve/main/checkpoint-16500/scheduler.bin
563 Bytes
- Xet hash:
- 4e5e453182eb0fb3ef3292b3cfa625fa1f5d3881d188f27ed4d6819e3270fc1d
- Size of remote file:
- 563 Bytes
- SHA256:
- 81ba4bedeab00c3670118a87f7ca1646a2063a55eb44cf6c25b16e05c0e335ef
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