How to Create Consistent Animal Poses in Stable Diffusion (ControlNet & OpenPose)

Dive into the world of artistic precision with the dynamic duo of ControlNet and OpenPose, now equipped with a groundbreaking preprocessor capable of recognizing diverse animal poses. In this exploration, we'll unravel the mastery behind these technologies, guiding you through the process of downloading the Animal OpenPose model and harnessing its potential to create consistently captivating and animal poses. Embark on this creative adventure with us and discover the magic of combining art and technology for captivating animal poses.

Before delving into the realm of crafting consistent animal poses using the Animal OpenPose model and ControlNet, it's crucial to establish the required foundations. Below, you'll find a comprehensive list of prerequisites to unlock the full potential of creating seamless and captivating animal poses through this innovative combination.

Requirement 1: ControlNet Extension

To proceed, make sure you have the ControlNet Extension installed and updated to its latest version. For detailed guidance on the installation process, refer to our comprehensive ControlNet Installation Guide, especially if you haven't installed ControlNet yet.

How to Install ControlNet Extension in Stable Diffusion (A1111)

Requirement 2: Animal OpenPose Model

To analyze animal poses, it's essential to pair our animal pose preprocessor with the appropriate model. Ensure you download the Animal OpenPose Model for accurate results. I recommend obtaining the 'control_sd15_animal_openpose_fp16' file for optimal performance.

File Location Animal OpenPose Model

Once you've downloaded the model, ensure to place the file in the designated folder: "stable-diffusion-webui\extensions\sd-webui-controlnet\models". Upon reloading the web UI, you'll be able to seamlessly pair the animal preprocessor with the newly acquired model.

In this segment, we're ready to initiate our exploration into crafting consistent and dynamic animal characters. To begin, navigate to the "txt2img" tab, scroll down, and access the ControlNet Extension Panel. Now, proceed with the following steps:

• Place an animal onto the ControlNet Canvas, keeping in mind that optimal results are achieved with animals featuring four legs (We will upload a photo of a lion onto the canvas)
• Enable ControlNet by checking the "Enable" (I would recommend to also check the "Pixel Perfect" checkbox)
• Select the "OpenPose" Control Type
• Opt for the "animal_openpose" Preprocessor
• Choose the "control_sd15_animal_openpose_fp16" Model

Here's an example illustrating how the ControlNet settings should appear when you've successfully implemented all the steps.

For a swift preview of the analyzed animal pose within the frame, simply click the "Run Preprocessor" icon located next to your chosen preprocessor. This icon is represented by a bomb icon. Upon clicking, it will initiate the download of specific packages before providing a preview of the analyzed animal pose.

Now that all ControlNet settings are configured, it's time to explore a simple example using the animal pose analyzed by the Animal OpenPose model. To do this, scroll back to the top and, first and foremost, select a checkpoint. We'll opt for the RevAnimated checkpoint to introduce some futuristic neon 3D-styled animals. Now write a prompt, add some LoRA's, choose the right dimensions and click "Generate".

3D Neon Styled Animal Example

• Positive Prompt: (futuristic dog:1.2), (outdoor:1.1), (tropical plants in background:1.2), (natural light:1.2), perfect light, perfect shadows, <lora:LCM_SD1.5:1>, <lora:Neonpunkai-8:1> , <lora:3DMM_V12:1>
• Negative Prompt: (worst quality:1.2), (low quality:1.2), (lowres:1.1), (monochrome:1.1), (greyscale), multiple views, comic, sketch, (((bad anatomy))), (((deformed))), (((disfigured))), mutation hands, mutation fingers, extra fingers, missing fingers, watermark, multiple
• Sampling Steps: 8
• Sampler: LCM Method
• CFG scale: 2
• Size: 712x400
• Model: RevAnimated

Explore the following section where we've crafted an engaging animation featuring various animals using the uploaded animal pose within the ControlNet unit.

In the upcoming example, we generated multiple animals with the same pose and crafted a brief animation for you! This animation was made using AnimateDiff, if you want to learn more about these kinds of animations check out our tutorial:

Create Morph Animations using Frame Interpolation in Stable Diffusion (A1111)

Take a moment to marvel at this captivating and delightful animal pose animation we've created for you! Sit back, relax, and witness the seamless fusion of technology, precision, and creativity as different animals come to life with a single pose.

In summary, our exploration into crafting consistent animal poses using ControlNet and Animal OpenPose has been both informative and creative. By configuring ControlNet settings, analyzing animal poses, and integrating futuristic neon 3D styles with LoRA's, we've unlocked a realm of possibilities. Utilizing the 'RevAnimated' checkpoint, we generated vibrant consistant animals. Now, armed with this knowledge, you're ready to infuse technology, creativity, and precision into your own imaginative animal pose creations.