afiaka87/ldm-autoedit 🖼️🔢📝❓ → 🖼️
About
Example Output
Output
Performance Metrics
221.87s
Prediction Time
10677.44s
Total Time
All Input Parameters
{
"seed": -1,
"text": "new york city completely flooded",
"width": 256,
"height": 256,
"batch_size": "8",
"iterations": "20",
"ending_radius": 0.1,
"guidance_scale": "5",
"starting_radius": 3,
"aesthetic_rating": 9,
"aesthetic_weight": "0.5",
"ending_threshold": 0.5,
"starting_threshold": 0.6
}
Input Parameters
- edit
- (optional) an existing image you want to edit
- seed
- (optional) Seed for the random number generator.
- text
- (required) Text to use for the model's prediction.
- width
- Target width
- height
- Target height
- negative
- (optional) Negate the model's prediction for this text from the model's prediction for the target text.
- batch_size
- Batch size.
- iterations
- Number of iterations to run the model for.
- ending_radius
- size of noise blur at the end of editing (smaller = editing fine details)
- guidance_scale
- Controls how much the image should look like the prompt
- starting_radius
- size of noise blur at the start of editing (larger = coarser changes)
- aesthetic_rating
- Number between 0 and 9 representing the aesthetic rating. Will initialize the prompt CLIP embed with the respective aesthetic embed.
- aesthetic_weight
- Weight of the aesthetic embedding in the average prompt embedding.
- ending_threshold
- how much of the image to replace at the end of editing
- starting_threshold
- how much of the image to replace at the start of editing (1 = inpaint the entire image)
Output Schema
Output
Example Execution Logs
Using seed 319970566 Running simulation for new york city completely flooded Encoding text embeddings with new york city completely flooded dimensions Using aesthetic embedding 9 with weight 0.5 Using inpaint model but no image is provided. Initializing with zeros. Population: 00, batch: 00, score: 0.2321 - first iteration Population: 00, batch: 01, score: 0.2690 - first iteration Population: 00, batch: 02, score: 0.2435 - first iteration Population: 00, batch: 03, score: 0.2721 - first iteration Population: 00, batch: 04, score: 0.2456 - first iteration Population: 00, batch: 05, score: 0.2513 - first iteration Population: 00, batch: 06, score: 0.2099 - first iteration Population: 00, batch: 07, score: 0.2464 - first iteration Population: 01, batch: 00, score: 0.2197 - no improvement Population: 01, batch: 01, score: 0.2195 - no improvement Population: 01, batch: 02, score: 0.2059 - no improvement Population: 01, batch: 03, score: 0.2742 - new best, replacing Population: 01, batch: 04, score: 0.1948 - no improvement Population: 01, batch: 05, score: 0.2332 - no improvement Population: 01, batch: 06, score: 0.2409 - new best, replacing Population: 01, batch: 07, score: 0.1885 - no improvement Population: 02, batch: 00, score: 0.2307 - no improvement Population: 02, batch: 01, score: 0.2659 - no improvement Population: 02, batch: 02, score: 0.2015 - no improvement Population: 02, batch: 03, score: 0.2596 - no improvement Population: 02, batch: 04, score: 0.2528 - new best, replacing Population: 02, batch: 05, score: 0.2577 - new best, replacing Population: 02, batch: 06, score: 0.2172 - no improvement Population: 02, batch: 07, score: 0.2784 - new best, replacing Population: 03, batch: 00, score: 0.2575 - new best, replacing Population: 03, batch: 01, score: 0.2551 - no improvement Population: 03, batch: 02, score: 0.2123 - no improvement Population: 03, batch: 03, score: 0.2359 - no improvement Population: 03, batch: 04, score: 0.1640 - no improvement Population: 03, batch: 05, score: 0.2039 - no improvement Population: 03, batch: 06, score: 0.2175 - no improvement Population: 03, batch: 07, score: 0.2194 - no improvement Population: 04, batch: 00, score: 0.2356 - no improvement Population: 04, batch: 01, score: 0.2373 - no improvement Population: 04, batch: 02, score: 0.2436 - new best, replacing Population: 04, batch: 03, score: 0.1799 - no improvement Population: 04, batch: 04, score: 0.2512 - no improvement Population: 04, batch: 05, score: 0.2531 - no improvement Population: 04, batch: 06, score: 0.2440 - new best, replacing Population: 04, batch: 07, score: 0.2075 - no improvement Population: 05, batch: 00, score: 0.2042 - no improvement Population: 05, batch: 01, score: 0.2293 - no improvement Population: 05, batch: 02, score: 0.2215 - no improvement Population: 05, batch: 03, score: 0.1763 - no improvement Population: 05, batch: 04, score: 0.1872 - no improvement Population: 05, batch: 05, score: 0.2393 - no improvement Population: 05, batch: 06, score: 0.1795 - no improvement Population: 05, batch: 07, score: 0.2669 - no improvement Population: 06, batch: 00, score: 0.2417 - no improvement Population: 06, batch: 01, score: 0.2546 - no improvement Population: 06, batch: 02, score: 0.2241 - no improvement Population: 06, batch: 03, score: 0.2616 - no improvement Population: 06, batch: 04, score: 0.2387 - no improvement Population: 06, batch: 05, score: 0.2262 - no improvement Population: 06, batch: 06, score: 0.1805 - no improvement Population: 06, batch: 07, score: 0.2203 - no improvement Population: 07, batch: 00, score: 0.2594 - new best, replacing Population: 07, batch: 01, score: 0.2134 - no improvement Population: 07, batch: 02, score: 0.2345 - no improvement Population: 07, batch: 03, score: 0.1960 - no improvement Population: 07, batch: 04, score: 0.2309 - no improvement Population: 07, batch: 05, score: 0.1765 - no improvement Population: 07, batch: 06, score: 0.2479 - new best, replacing Population: 07, batch: 07, score: 0.2632 - no improvement Population: 08, batch: 00, score: 0.2128 - no improvement Population: 08, batch: 01, score: 0.2006 - no improvement Population: 08, batch: 02, score: 0.2634 - new best, replacing Population: 08, batch: 03, score: 0.2098 - no improvement Population: 08, batch: 04, score: 0.2537 - new best, replacing Population: 08, batch: 05, score: 0.2092 - no improvement Population: 08, batch: 06, score: 0.1991 - no improvement Population: 08, batch: 07, score: 0.2331 - no improvement Population: 09, batch: 00, score: 0.2534 - no improvement Population: 09, batch: 01, score: 0.2258 - no improvement Population: 09, batch: 02, score: 0.2439 - no improvement Population: 09, batch: 03, score: 0.2231 - no improvement Population: 09, batch: 04, score: 0.2115 - no improvement Population: 09, batch: 05, score: 0.1948 - no improvement Population: 09, batch: 06, score: 0.2480 - new best, replacing Population: 09, batch: 07, score: 0.2123 - no improvement Population: 10, batch: 00, score: 0.2416 - no improvement Population: 10, batch: 01, score: 0.1903 - no improvement Population: 10, batch: 02, score: 0.1687 - no improvement Population: 10, batch: 03, score: 0.2367 - no improvement Population: 10, batch: 04, score: 0.1970 - no improvement Population: 10, batch: 05, score: 0.2277 - no improvement Population: 10, batch: 06, score: 0.2293 - no improvement Population: 10, batch: 07, score: 0.2269 - no improvement Population: 11, batch: 00, score: 0.2344 - no improvement Population: 11, batch: 01, score: 0.1815 - no improvement Population: 11, batch: 02, score: 0.2390 - no improvement Population: 11, batch: 03, score: 0.2152 - no improvement Population: 11, batch: 04, score: 0.2705 - new best, replacing Population: 11, batch: 05, score: 0.2594 - new best, replacing Population: 11, batch: 06, score: 0.2681 - new best, replacing Population: 11, batch: 07, score: 0.2214 - no improvement Population: 12, batch: 00, score: 0.1791 - no improvement Population: 12, batch: 01, score: 0.1462 - no improvement Population: 12, batch: 02, score: 0.2466 - no improvement Population: 12, batch: 03, score: 0.2606 - no improvement Population: 12, batch: 04, score: 0.2558 - no improvement Population: 12, batch: 05, score: 0.2077 - no improvement Population: 12, batch: 06, score: 0.2274 - no improvement Population: 12, batch: 07, score: 0.1566 - no improvement Population: 13, batch: 00, score: 0.1646 - no improvement Population: 13, batch: 01, score: 0.2091 - no improvement Population: 13, batch: 02, score: 0.2259 - no improvement Population: 13, batch: 03, score: 0.1968 - no improvement Population: 13, batch: 04, score: 0.1815 - no improvement Population: 13, batch: 05, score: 0.2707 - new best, replacing Population: 13, batch: 06, score: 0.2093 - no improvement Population: 13, batch: 07, score: 0.2379 - no improvement Population: 14, batch: 00, score: 0.2417 - no improvement Population: 14, batch: 01, score: 0.2123 - no improvement Population: 14, batch: 02, score: 0.2621 - no improvement Population: 14, batch: 03, score: 0.2265 - no improvement Population: 14, batch: 04, score: 0.2324 - no improvement Population: 14, batch: 05, score: 0.2448 - no improvement Population: 14, batch: 06, score: 0.2493 - no improvement Population: 14, batch: 07, score: 0.2735 - no improvement Population: 15, batch: 00, score: 0.2594 - no improvement Population: 15, batch: 01, score: 0.1612 - no improvement Population: 15, batch: 02, score: 0.2433 - no improvement Population: 15, batch: 03, score: 0.2404 - no improvement Population: 15, batch: 04, score: 0.2012 - no improvement Population: 15, batch: 05, score: 0.2447 - no improvement Population: 15, batch: 06, score: 0.2301 - no improvement Population: 15, batch: 07, score: 0.1743 - no improvement Population: 16, batch: 00, score: 0.2655 - new best, replacing Population: 16, batch: 01, score: 0.1834 - no improvement Population: 16, batch: 02, score: 0.2349 - no improvement Population: 16, batch: 03, score: 0.2386 - no improvement Population: 16, batch: 04, score: 0.2124 - no improvement Population: 16, batch: 05, score: 0.2237 - no improvement Population: 16, batch: 06, score: 0.2070 - no improvement Population: 16, batch: 07, score: 0.2414 - no improvement Population: 17, batch: 00, score: 0.2654 - no improvement Population: 17, batch: 01, score: 0.2449 - no improvement Population: 17, batch: 02, score: 0.2614 - no improvement Population: 17, batch: 03, score: 0.2317 - no improvement Population: 17, batch: 04, score: 0.2586 - no improvement Population: 17, batch: 05, score: 0.2151 - no improvement Population: 17, batch: 06, score: 0.2692 - new best, replacing Population: 17, batch: 07, score: 0.2458 - no improvement Population: 18, batch: 00, score: 0.2488 - no improvement Population: 18, batch: 01, score: 0.1992 - no improvement Population: 18, batch: 02, score: 0.2390 - no improvement Population: 18, batch: 03, score: 0.1938 - no improvement Population: 18, batch: 04, score: 0.2575 - no improvement Population: 18, batch: 05, score: 0.2330 - no improvement Population: 18, batch: 06, score: 0.2420 - no improvement Population: 18, batch: 07, score: 0.2627 - no improvement Population: 19, batch: 00, score: 0.2351 - no improvement Population: 19, batch: 01, score: 0.2673 - no improvement Population: 19, batch: 02, score: 0.2246 - no improvement Population: 19, batch: 03, score: 0.2070 - no improvement Population: 19, batch: 04, score: 0.2719 - new best, replacing Population: 19, batch: 05, score: 0.2245 - no improvement Population: 19, batch: 06, score: 0.2218 - no improvement Population: 19, batch: 07, score: 0.2362 - no improvement
Version Details
- Version ID
d0d04e11830081fcc1066cc5e6306e4ffdcf35c0d95d12c6cbc2b869f17466d0- Version Created
- June 17, 2022