A beginner's guide to the Flux-Dev-Controlnet model by Xlabs-Ai on Replicate

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This is a simplified guide to an AI model called Flux-Dev-Controlnet maintained by Xlabs-Ai. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.

Model overview

flux-dev-controlnet is an AI model developed by XLabs-AI that uses ComfyUI to generate images with the FLUX.1-dev model and XLabs' controlnet models. This model provides canny, depth, and soft edge controlnets that can be used to guide the image generation process. It builds upon similar models like flux-controlnet-canny-v3, flux-controlnet-canny, and flux-controlnet-depth-v3 that offer specific controlnet capabilities for the FLUX.1-dev model.

Model inputs and outputs

The flux-dev-controlnet model takes a variety of inputs to control the image generation process, including a prompt, a control image, and various parameters to adjust the controlnet strength, guidance scale, and output quality. The model outputs one or more generated images in the specified format (e.g., WEBP).

Inputs

Seed: Set a seed for reproducibility.
Steps: The number of steps to use during image generation, up to 50.
Prompt: The text prompt to guide the image generation.
Lora URL: An optional LoRA model to use, specified as a URL.
Control Type: The type of controlnet to use, such as canny, depth, or soft edge.
Control Image: The image to use as the controlnet input.
Lora Strength: The strength of the LoRA model to apply.
Output Format: The format of the output images, such as WEBP.
Guidance Scale: The guidance scale to use during image generation.
Output Quality: The quality of the output images, from 0 to 100.
Negative Prompt: Things to avoid in the generated image.
Control Strength: The strength of the controlnet, which varies depending on the type.
Depth Preprocessor: The preprocessor to use with the depth controlnet.
Soft Edge Preprocessor: The preprocessor to use with the soft edge controlnet.
Image to Image Strength: The strength of the image-to-image control.
Return Preprocessed Image: Whether to return the preprocessed control image.