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Flux ControlNet Union Pro 2.0

wavespeed-ai/flux-controlnet-union-pro-2.0

Flux ControlNet Union Pro 2.0 enables simultaneous Canny, Depth, Soft Edge, Pose, and Grayscale conditioning for precise image control. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Input

Hint: You can drag and drop a file or click to upload

preview
width
height
1024 × 1024 px
Range: 256 - 1536
If enabled, the output will be encoded into a BASE64 string instead of a URL. This property is only available through the API.
If set to true, the function will wait for the result to be generated and uploaded before returning the response. It allows you to get the result directly in the response. This property is only available through the API.

Idle

A robot is giving a speech.

Tu solicitud costará $0.03 por ejecución.

Con $1 puedes ejecutar este modelo aproximadamente 33 veces.

Una cosa más:

EjemplosVer todo

A robot is giving a speech.
Realistic full-body shot of a detective in a classic 1940s outfit, wearing a fedora and trench coat, cigarette in mouth, standing beside a vintage car in a rain-soaked alley, warm orange streetlights casting dramatic shadows
A write boy blowing bubbles in the park on a sunny afternoon, vivid colors, cinematic composition, sharp focus, realistic skin textures, shallow depth of field
A smiling young woman in a sunlit field, wearing a flowing yellow dress, realistic lighting, bright colors, ultra-detailed face, high-resolution, photo-realistic
a red fox standing quietly in a foggy forest, early morning light, soft shadows, cinematic atmosphere, depth of field, ultra detailed fur, natural colors, no humans
a single goldfish swimming inside a floating glass orb, suspended in the air, surrounded by gentle water ripples, soft glowing background, photorealistic, highly detailed, no people
a person holding a transparent umbrella, walking in the rain, viewed from behind, city lights reflected on wet ground, night mood, soft bokeh, no face visible
a girl walking alone on a beach at sunset, seen from behind, footprints in the sand, golden light reflecting on the ocean, emotional tone, no face
a person sitting by a large window in a library, reading a book, viewed from behind, warm ambient lighting, soft dust in the air, calm atmosphere, no facial features
a boy riding a bicycle down a country road, viewed from behind, late afternoon, sun filtering through trees, motion blur on background, gentle atmosphere, no face visible

README

FLUX ControlNet Union Pro 2.0 — wavespeed-ai/flux-controlnet-union-pro-2.0

FLUX ControlNet Union Pro 2.0 is a ControlNet-guided image generation model that lets you lock in structure using a control image while still following your text prompt for style and details. Upload a control_image (e.g., pose/shape/edge-like guidance), describe what you want to create, and the model generates images that respect the control geometry—ideal for pose fidelity, layout consistency, and repeatable compositions. It also supports optional LoRAs (up to 3) to further steer style.

Key capabilities

  • ControlNet-guided generation using a required control_image
  • Strong structure fidelity: keeps pose/layout consistent across generations
  • Prompt-driven styling: change appearance, materials, lighting, and mood while keeping geometry
  • Fine control over when/how much control is applied via conditioning and guidance range
  • LoRA support (up to 3) for consistent styles or specialized looks

Use cases

  • Pose-locked character generation from a silhouette/pose control image
  • Recreating the same composition in multiple art styles for A/B creative testing
  • Storyboarding with consistent framing and character blocking
  • Product mockups with fixed layout and controllable styling
  • Batch generation with a “house style” using LoRAs while keeping geometry stable

Pricing

OutputPrice
Per image$0.03

Inputs

  • prompt (required): what to generate (subject, scene, style)
  • control_image (required): the structural guide image

Parameters

Core:

  • prompt: text instruction for content and style
  • control_image: structural guidance image
  • width / height: output size
  • num_inference_steps: sampling steps (higher can improve detail but increases latency)
  • guidance_scale: prompt adherence strength
  • seed: fixed value for reproducibility; change for variation
  • num_images: number of outputs per run
  • output_format: jpeg or png
  • enable_base64_output: return BASE64 instead of URL (API only)
  • enable_sync_mode: wait for generation and return results directly (API only)

ControlNet:

  • controlnet_conditioning_scale: strength of control_image guidance (higher = stricter structure)
  • control_guidance_start: when control starts applying (0–1 timeline)
  • control_guidance_end: when control stops applying (0–1 timeline)

LoRA (up to 3 items):

  • loras: list of LoRA entries (max 3)

    • path: owner/model-name or a direct .safetensors URL
    • scale: LoRA strength (start moderate and adjust)

Prompting guide

A reliable pattern is “structure + subject + style”:

Template: Using the control image for pose/layout, generate [subject] in [scene]. Style: [style cues]. Lighting: [lighting cues]. Keep composition consistent with the control image.

Example prompts

  • Using the control image for pose, generate a robot giving a speech at a podium, cinematic lighting, shallow depth of field, high detail, realistic materials.
  • Using the control image for layout, generate a fantasy wizard on a stage, glowing runes, volumetric fog, dramatic rim light, illustrated style.
  • Using the control image for silhouette, generate a sleek product hero shot with glossy reflections and a clean studio background.

Reference