Instructions to use monster-labs/control_v1p_sd15_qrcode_monster with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use monster-labs/control_v1p_sd15_qrcode_monster with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("monster-labs/control_v1p_sd15_qrcode_monster") pipe = StableDiffusionControlNetPipeline.from_pretrained( "fill-in-base-model", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
Publishing the creation of the dataset and traning
#171
by snatchysquid - opened
Hi!
About a year ago I've asked about the how was the model created, and how was the dataset for this created, and what was the training process like.
I think the data science and deep learning community can learn a lot from this, I would appreciate it if you could publish a description of these points.
(Meant for @achiru or any other person with knowledge of these details)
Thanks in advance, and I would appreciate your response.
bump