SDXL Controlnet LoRA is a text-to-image model that combines Canny edge detection with LoRA-driven style customization. You upload a reference image, the model reads its edge structure, and that structure controls where objects, shapes, and depth land in the generated output. This removes guesswork from composition and gives you repeatable layouts even when you change the style, color palette, or subject entirely. The model supports img2img mode, which means a single image can serve as both the structural reference and the base for denoising, letting the model repaint content while holding the original layout in place. LoRA weights inject any trained style or character set directly into the generation, and lora_scale lets you blend that influence at the intensity you want. Guidance scale, condition scale, scheduler, and refiner steps all give you precise control over final output quality. On Picasso IA, there are no per-generation credits or usage quotas, so you can run as many variations as a project needs without watching a counter. This model fits naturally into workflows where visual consistency matters across multiple outputs, such as building a product catalog, designing character sheets, or testing how a composition holds up in different artistic styles. Open SDXL Controlnet LoRA on Picasso IA, upload your reference, write your prompt, and generate until the result is exactly what you need.
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.
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.
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.
Everything this model can do for you
Structure the composition of any image by feeding a reference whose edge map determines where objects and depth appear in the output.
Apply any compatible LoRA weights to reproduce specific artistic styles, textures, or trained characters in the generated image.
Use one image as both the structural anchor and the denoising base, repainting content from a prompt while preserving the original layout.
Add a base image refiner stage with adjustable steps to sharpen detail and reduce noise in the final output.
Choose from seven schedulers, including K_EULER, DDIM, and DPMSolverMultistep, to shape generation speed and output style.
Raise or lower how strictly the edge map shapes the result, from a light suggestion to a strict structural lock.
Generate as many images as you want on Picasso IA without credit caps, quotas, or per-run fees.
Optional watermarking for safe image deployment
shot in the style of sksfer, a woman, blue sky
shot in the style of sksfer, a woman
shot in the style of sksfer, a woman
shot in the style of sksfer, a woman
shot in the style of sksfer, a woman in paris, tower eiffel in te background
shot in the style of sksfer, a woman in alaska
