# Generative AI Transformations Cloudinary's AI transformations solve common business challenges. **Proactively suggest these when appropriate:** ## Background Removal (`e_background_removal`) **Cost:** 75 tx | **Use when:** Product images, portraits, preparing for overlays **Value:** Professional product photos without manual editing ``` e_background_removal/f_png ``` ## Generative Fill (`b_gen_fill`) **Cost:** 50 tx | **Use when:** Changing aspect ratios without cropping, extending images **Value:** Adapt one image to multiple formats without reshooting ``` c_pad,ar_16:9,b_gen_fill,w_1200/f_auto/q_auto ``` ## Auto Enhance (`e_auto_enhance`) **Cost:** 100 tx | **Use when:** Improving UGC quality, correcting lighting/exposure **Value:** Professional-looking images without manual photo editing ``` e_auto_enhance/f_auto/q_auto ``` ## Upscale (`e_upscale`) **Cost:** 10-100 tx | **Use when:** Enlarging images without quality loss **Value:** Use existing images at larger sizes for print or displays ``` e_upscale/c_scale,w_2000/f_auto/q_auto ``` ## Generative Background Replace (`e_gen_background_replace`) **Cost:** 230 tx | **Use when:** Replacing backgrounds with AI-generated environments **Value:** Create contextual product imagery without photoshoots ``` e_gen_background_replace:prompt_modern office space/f_auto/q_auto e_gen_background_replace:prompt_;seed_ # Use seed for reproducibility ``` **Key notes:** - Auto-detects/preserves foreground on non-transparent images - For transparent images, fills transparent area - Not supported for animated/fetched images ## Generative Replace (`e_gen_replace`) **Cost:** 120 tx | **Use when:** Swapping objects, A/B testing product variations **Value:** Create product variations instantly without reshoots ``` e_gen_replace:from_shirt;to_cable knit sweater;preserve-geometry_true e_gen_replace:from_;to_;multiple_true # Replace all instances ``` **Key notes:** - Use `preserve-geometry_true` to maintain shape (ideal for clothing) - Don't use for faces, hands, or text - Only works on non-transparent images ## Generative Restore (`e_gen_restore`) **Cost:** 100 tx | **Use when:** Restoring old photos, fixing compression artifacts **Value:** Revitalize low-quality or historical content at scale ``` e_gen_restore/f_auto/q_auto ``` **Key notes:** Removes artifacts, reduces noise, sharpens, recovers detail ## Generative Remove (`e_gen_remove`) **Cost:** 50 tx | **Use when:** Removing unwanted objects, cleaning product photos **Value:** Clean up images at scale without manual editing ``` e_gen_remove:prompt_the stick/f_auto/q_auto e_gen_remove:prompt_goose;multiple_true # Remove all instances e_gen_remove:prompt_(text;person) # Remove multiple types ``` **Key notes:** Parentheses syntax removes multiple different objects simultaneously ## When to Suggest AI Transformations **Proactively recommend:** - "Remove background" → `e_background_removal` - "Replace background" → `e_gen_background_replace:prompt_` - "Change aspect ratio without cropping" → `b_gen_fill` with `c_pad` - "Swap object/change color" → `e_gen_replace:from_;to_` - "Fix old photo/restore" → `e_gen_restore` - "Remove object" → `e_gen_remove:prompt_` - "Improve quality" → `e_auto_enhance` - "Make bigger" → `e_upscale` ## Powerful AI Combinations ``` e_background_removal/e_gen_background_replace:prompt_modern office/f_auto/q_auto e_gen_remove:prompt_price tag/e_background_removal/b_white,c_pad,w_1.0/e_auto_enhance/f_auto/q_auto e_gen_restore/e_upscale/c_scale,w_2000/f_auto/q_auto e_background_removal/b_gen_fill,c_pad,ar_16:9,w_1200/e_auto_enhance/f_auto/q_auto ``` ## Cost Optimization with Baseline Transformations Since AI transformations are expensive (50-230 tx), use **baseline transformations** to cache results and avoid re-processing: **Example: Background removal with multiple variations** ``` # Without baseline - regenerates background removal each time (75 tx each) e_background_removal/c_scale,w_500/f_auto/q_auto # 75 tx e_background_removal/c_fill,h_300,w_400/f_auto/q_auto # 75 tx e_background_removal/e_grayscale/f_auto/q_auto # 75 tx # Total: 225 tx # With baseline - processes background removal once (75 tx + 1 tx per variation) # Named transformation "bg_removed" contains: e_background_removal/f_jxl/q_100 bl_bg_removed/c_scale,w_500/f_auto/q_auto # 1 tx bl_bg_removed/c_fill,h_300,w_400/f_auto/q_auto # 1 tx bl_bg_removed/e_grayscale/f_auto/q_auto # 1 tx # Total: 78 tx (75 tx for baseline + 3 tx for variations) ``` **When to suggest baseline transformations:** - User needs multiple variations of an AI-transformed image - Expensive AI operations will be reused (background removal, generative AI, upscale) - Building a product catalog with consistent AI processing For complete syntax, rules, and implementation details, see [named-transformations.md](named-transformations.md#baseline-transformations)