A beginner's guide to the Instantid model by Zedge on Replicate

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This is a simplified guide to an AI model called Instantid maintained by Zedge. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.

Model overview

instantid generates realistic images of people by combining face identity with text prompts. Maintained by zedge, this model takes an input face image and uses it as a reference to create new variations based on your text description. Unlike general text-to-image models such as stable-diffusion, which generate images from scratch, this model preserves the identity of the input face while applying stylistic changes. It uses IdentityNet and IP-Adapter technology to maintain facial fidelity while allowing creative transformations. For those seeking speed over customization, sdxl-lightning-4step offers rapid generation, though without identity preservation capabilities.

Model inputs and outputs

The model accepts a face image and a text prompt describing the desired output scene or style. It generates one to four customized images based on these inputs. You can fine-tune the generation process through multiple parameters controlling strength ratios, inference steps, and optional enhancement features. The model includes safety mechanisms and supports batch processing through ZIP file uploads.

Inputs

input_image: A face photograph to use as the identity reference
prompt: Text description of the desired output style, scene, or characteristics
negative_prompt: Terms to exclude from generation (defaults to unwanted elements like "nsfw, watermark, blurry")
num_inference_steps: Number of denoising iterations (1-500, default 30)
guidance_scale: Strength of text prompt adherence (1-50, default 7.5)
identitynet_strength_ratio: Controls face fidelity preservation (0-1.5, default 0.8)
ip_adapter_scale: Controls detail preservation (0-1.5, default 0.8)
instantid_depth_strength: Depth ControlNet influence (0-1, default 0.8)
instantid_canny_strength: Edge detection ControlNet influence (0-1, default 0.3)
instantid_pose_strength: Pose control influence (0-1, default 0)
enable_lcm: Fast inference mode for speed-quality tradeoff
scheduler: Algorithm for denoising process
seed: Random seed for reproducibility
num_outputs: Number of images to generate (1-4)
disable_nsfw_checker: Option to skip safety filtering
enhance_nonface_region: Improve background and non-facial areas