Instructions to use DionTimmer/controlnet_qrcode with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DionTimmer/controlnet_qrcode with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("DionTimmer/controlnet_qrcode") pipe = StableDiffusionControlNetPipeline.from_pretrained( "fill-in-base-model", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
Commit ·
a06a66c
1
Parent(s): 5d749ed
Update README.md
Browse files
README.md
CHANGED
|
@@ -5,6 +5,12 @@ tags:
|
|
| 5 |
license: openrail++
|
| 6 |
language:
|
| 7 |
- en
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 8 |
---
|
| 9 |
# QR Code Conditioned ControlNet Models for Stable Diffusion 1.5 and 2.1
|
| 10 |
|
|
|
|
| 5 |
license: openrail++
|
| 6 |
language:
|
| 7 |
- en
|
| 8 |
+
datasets:
|
| 9 |
+
- fka/awesome-chatgpt-prompts
|
| 10 |
+
metrics:
|
| 11 |
+
- bertscore
|
| 12 |
+
library_name: adapter-transformers
|
| 13 |
+
pipeline_tag: robotics
|
| 14 |
---
|
| 15 |
# QR Code Conditioned ControlNet Models for Stable Diffusion 1.5 and 2.1
|
| 16 |
|