Instructions to use tempertrash/QR_Code_ControlNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tempertrash/QR_Code_ControlNet with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tempertrash/QR_Code_ControlNet", 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
- Xet hash:
- 67b38cf88f740e438616a34b506fb9383df498ced52697b6ca3f488469879285
- Size of remote file:
- 1.45 GB
- SHA256:
- 5c26ba68e2a3e3a8ca95a7530ecec38a35530159336fdd87a9173a070151fd60
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