Patience.ai

Upload a basic sketch.

Use ControlNet (OpenPose) to define the stance.

Apply a consistent character LoRA.

Generate a 'orthographic view' sheet.

Upscale the final result for texture mapping.

Upload a wireframe render.

Set ControlNet to 'MLSD' for line detection.

Prompt for specific materials (e.g., 'Scandinavian oak', 'brushed steel').

Use inpainting to swap furniture items.

Export at 4K resolution.

Select the original ad master image.

Mask the subject's face/clothing using the inpainting tool.

Prompt for localized features and attire.

Use 'Batch Generation' to produce 50 variants.

Sync outputs to a shared marketing folder.

Upload 20-30 high-quality brand images.

Run the LoRA trainer within Patience.ai.

Validate the style weights.

Deploy the LoRA to the team's shared workspace.

Generate all social media assets using the brand LoRA.

Upload product photo with transparent background.

Use Image-to-Image with a low denoising strength.

Describe the desired background environment.

Utilize the Outpainting tool to expand the canvas for different aspect ratios (16:9, 9:16).

Export final high-res marketing images.

Input a mood-based prompt (e.g., 'Cyberpunk rainy alleyway, cinematic lighting').

Select the SDXL model for high detail.

Vary the 'Seed' to explore different compositions.

Adjust 'CFG Scale' to control prompt adherence vs. creativity.

Save favorites to a project mood board.

Select a specialized 'Iconography' LoRA.

Input specific object prompts (e.g., 'Settings gear', 'Cloud sync').

Use batch generation with a fixed seed to maintain stylistic unity.

Remove backgrounds using the integrated tool.

Download as PNG.