Instructions to use Phuree/ouji-pose-control with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Phuree/ouji-pose-control with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Phuree/ouji-pose-control") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-xl-base-1.0", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
controlnet-Phuree/ouji-pose-control
These are controlnet weights trained on stabilityai/stable-diffusion-xl-base-1.0 with new type of conditioning. You can find some example images below.
prompt: ouji fashion, light blue sheer blouse with ruffled collar and bow tie, black pleated skirt with striped trim, black knee-high socks, black lace-up combat boots, black top hat with feather, silver chain necklace, black and white striped tie, soft pastel background
prompt: ouji fashion, light blue sheer blouse with ruffled collar and bow tie, black pleated skirt with striped trim, black knee-high socks, black lace-up combat boots, black top hat with feather, silver chain necklace, black and white striped tie, soft pastel background
prompt: ouji fashion, black and red satin capelet with gold cross motifs, white lace-trimmed collar, red and black striped shirt, black and white pleated skirt with gold cross accents, black beret with lace trim, gold chain accessories

Intended uses & limitations
How to use
# TODO: add an example code snippet for running this diffusion pipeline
Limitations and bias
[TODO: provide examples of latent issues and potential remediations]
Training details
[TODO: describe the data used to train the model]
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Model tree for Phuree/ouji-pose-control
Base model
stabilityai/stable-diffusion-xl-base-1.0