SDXL Controlnet LoRA: Free AI Image Generator

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Overview

SDXL Controlnet LoRA is a text-to-image model that uses Canny edge detection to anchor composition from a reference image, then fills that structure with content from your text prompt. On Picasso IA, you get unlimited generations, meaning you can iterate on the same composition across dozens of prompts until the result is exactly right. It solves a specific problem: getting a generative AI model to respect where things appear in the frame, not just what they look like. Product designers, illustrators, and photographers use it when layout precision matters as much as visual style.

How It Works

Upload a reference image. The Canny edge detector reads its outlines and converts them into a structural map that the model follows during generation.
Write a prompt describing the style, colors, mood, and content you want applied to that structure.
Optionally paste in LoRA weights to inject a trained style or character into the output, and adjust the scale to control how strongly it blends in.
Set condition scale to decide how strictly the edge map controls placement. A lower value gives the model more creative freedom; a higher value locks it closer to the reference.
Hit generate. If img2img is active, your reference also serves as the denoising base, so the model repaints rather than builds from scratch.

Frequently Asked Questions

Do I need programming skills or technical knowledge to use this? No, just open SDXL Controlnet LoRA on Picasso IA, adjust the settings you want, and hit generate. The controls are sliders and dropdowns, no code required.

Is it free to try? Yes. You can run your first generation without entering payment details. The model is available immediately and requires no account setup to start.

How long does it take to get results? Most generations finish in 15 to 45 seconds depending on inference steps and whether the refiner is active. Lowering num_inference_steps speeds things up at a small cost to fine detail.

How many times can I run the model? There are no caps on Picasso IA. You can generate as many images as you need, run back-to-back sessions, and iterate freely without hitting any usage quota.

Can I use my own LoRA weights? Yes. Paste the location of any compatible LoRA weight set into the lora_weights field and adjust lora_scale to blend it into the output at the intensity you want.

What output formats are supported? The model outputs standard PNG images at SDXL resolution. You can download them directly from the results panel once generation finishes.

What if I am not happy with the result? Change the seed, lower or raise the condition scale, switch schedulers, or refine the prompt and run again. Because there are no generation limits, you can iterate as many times as you need until the output works.

Credit Cost

Each generation consumes 1 credit

1 credit

or 5 credits for 5 generations

With Elite or Infinite plans, enjoy unlimited generations with this model at no additional cost.

Features

Everything this model can do for you

Canny edge control

Structure the composition of any image by feeding a reference whose edge map determines where objects and depth appear in the output.

LoRA style injection

Apply any compatible LoRA weights to reproduce specific artistic styles, textures, or trained characters in the generated image.

img2img mode

Use one image as both the structural anchor and the denoising base, repainting content from a prompt while preserving the original layout.

Refinement pass

Add a base image refiner stage with adjustable steps to sharpen detail and reduce noise in the final output.

Scheduler selection

Choose from seven schedulers, including K_EULER, DDIM, and DPMSolverMultistep, to shape generation speed and output style.

Condition scale control

Raise or lower how strictly the edge map shapes the result, from a light suggestion to a strict structural lock.

Unlimited generations

Generate as many images as you want on Picasso IA without credit caps, quotas, or per-run fees.

Optional watermarking for safe image deployment

Use Cases

Generate a product image with a specific layout by uploading a reference photo and describing the desired style and lighting in the prompt

Apply a custom LoRA model to reproduce a specific art style or trained character across multiple compositions without losing structural consistency

Use img2img mode to preserve the edge outlines of an existing scene while completely changing its visual style and color palette

Run 50+ prompt variations on the same edge map to find which mood and color treatment works best for a creative brief, with no usage limits

Create a consistent series of scene illustrations by feeding the same reference image with different style prompts across each piece

Convert a rough pencil sketch into a detailed digital illustration by using it as the control image and describing the finished look in the prompt

Build a set of character poses from a single base photo by varying the prompt while keeping the Canny edge structure fixed across each output

Experiment with different artistic styles and schedules

Examples

20.4s

Refine: base_image_refiner

Scheduler: K_EULER

Lora Scale: 0.95

Num Outputs: 1

Refine Steps: 20

Guidance Scale: 7.5

Apply Watermark: Yes

Condition Scale: 0.5

Num Inference Steps: 40

shot in the style of sksfer, a woman, blue sky

Lora Weights

22.1s

Refine: base_image_refiner

Scheduler: K_EULER

Lora Scale: 0.95

Num Outputs: 1

Refine Steps: 20

Guidance Scale: 7.5

Apply Watermark: Yes

Condition Scale: 0.5

Num Inference Steps: 40

shot in the style of sksfer, a woman

Lora Weights

22.6s

Refine: base_image_refiner

Scheduler: K_EULER

Lora Scale: 0.95

Num Outputs: 1

Refine Steps: 20

Guidance Scale: 7.5

Apply Watermark: Yes

Condition Scale: 0.5

Num Inference Steps: 40

shot in the style of sksfer, a woman

Lora Weights

4m 5s

Refine: base_image_refiner

Scheduler: K_EULER

Lora Scale: 0.95

Num Outputs: 1

Refine Steps: 20

Guidance Scale: 7.5

Apply Watermark: Yes

Condition Scale: 0.5

Num Inference Steps: 40

shot in the style of sksfer, a woman

Lora Weights

19.6s

Refine: base_image_refiner

Scheduler: K_EULER

Lora Scale: 0.97

Num Outputs: 1

Refine Steps: 20

Guidance Scale: 7.5

Apply Watermark: Yes

Condition Scale: 0.5

Num Inference Steps: 40

shot in the style of sksfer, a woman in paris, tower eiffel in te background

Lora Weights

20.4s

Refine: base_image_refiner

Scheduler: K_EULER

Lora Scale: 0.95

Num Outputs: 1

Refine Steps: 20

Guidance Scale: 7.5

Apply Watermark: Yes

Condition Scale: 0.5

Num Inference Steps: 40

shot in the style of sksfer, a woman in alaska

Lora Weights