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Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline
controlnet = ControlNetModel.from_pretrained("jiang0203/save")
pipe = StableDiffusionControlNetPipeline.from_pretrained(
"runwayml/stable-diffusion-v1-5", controlnet=controlnet
)controlnet-jiang0203/save
These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning. You can find some example images below.
prompt: The screenshot is very likely an editor app. You can see a functionality to edit or create content. You may notice a web view located at the center area which you can do click. A web view is a component that displays website content.
prompt: The interface looks like a modal app. You can see a popup window with additional content. You can find a text placed at the center area of the screen.

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 jiang0203/save
Base model
runwayml/stable-diffusion-v1-5