AI Image Prompts for Testing
Explore AI generated designs, images, art and prompts by top community artists and designers.
The facility was prepared for everything — or so they thought. Inside the reinforced strength-testing chamber , the taller of the two hyper-muscular blondes is strapped into a controlled resistance rig designed to measure maximum output. Her body is beyond colossal — biceps the size of barrels , shoulders splitting her frame wide , veins like cables webbing across her swollen limbs. She grits her teeth and begins to push. The machine resists. For a moment. Then everything fails at once. The steel resistance arms groan , then twist violently. Sparks fly. Monitors shatter. One reinforced concrete wall cracks top to bottom as a shockwave tears through the chamber. Her body flexes larger with each second , as if the very challenge triggers another surge. Her chest heaves , massive arms flaring outward as she tears the entire testing rig from its moorings with a guttural roar. **Alarms blare.** Red strobes flash across her glistening , striated form. Scientists shout and scatter behind the safety glass. The other woman — nearly as large — watches through the observation window , stunned , then smiling slowly as she realizes: *“She’s still growing.”* Security doors slam shut as protocols activate , but it’s no use. The towering woman turns calmly toward the steel containment wall — meant to hold aircraft — and simply **walks through it** , muscles flaring , concrete crumbling , bolts flying loose. A second shockwave blasts outward as metal peels around her shoulders like tinfoil. The sound is deafening. Dust settles. Sparks drift. And in the silence that follows , the massive woman stands amidst rubble and bent alloy , calm… breathing… and impossibly strong. Shot on RED V-Raptor 8K , low-angle wide cinematic lens , ISO 400 , f/2.0 , 1/2000 shutter , lab floodlights and red emergency lighting. Ultra-photorealistic , hyper-detailed environmental destruction , muscle motion blur , shattered glass , glowing alert panels , torn fabric under strain , glowing sweat texture , reinforced realism. --no cartoon , anime , nudity , stylized effects , smoothing , blur , distortion , uncanny elements ,
(full body portrait:1.1) , photograph of Madison Beer as Pocahontas , young beautiful native american woman , perfect symmetrical face , feather jewelry , traditional handmade dress , Utah landscape , professionally color graded , art by artgerm and greg rutkowski and alphonse mucha , highest quality , realistic hands , trending on artstation , masterpiece , (NSFW:1.2) , five fingers ,
aggressive evil doctor manhattan , lip piercing , septum piercing!!!! , steampunk setting , by tomasz alen kopera and peter mohrbacher and craig mullins , a detailed matte painting by filip hodas , perfect face!! digital painting , high tech low life , reflection of the full moon in the mirror , ribcage bones symmetrical artwork , he is about 4 0 years old , micro lens , cute earrings. highly detailed , 5 0 mm , focus close on detesting eyes , easports , My eyes are not the first to cry I'm not the first to know There's just no getting over you , from artstation , art by greg rutkwowski , detailed eyes ,
Generate architecture diagram: Use Spark Streaming , a distributed computing framework that supports streaming processing , to obtain change logs of the original data to be migrated from the source database; LSTM neural network algorithm is used as sequence learning algorithm , and machine learning model can simulate Data migration operation according to log data training; Using the distributed data processing framework Spark SQL , construct test cases based on the LSTM model , conduct simulation testing based on the original data to be migrated , and obtain target test data; Use the Random forest algorithm as the machine learning algorithm to compare the source test data with the target test data to determine whether there is a data compatibility problem. ,
{ "VAE": "vae-ft-mse-840000-ema-pruned" , "Seed": 2732546006 , "Size": "2160x3840" , "Model": "Testing_elldrethsDaydreamMix_v10" , "Steps": 18 , "Parser": "Full parser" , "Sampler": "DPM++ 2M SDE Karras" , "Version": "da38d27" , "CFG scale": 7 , "Clip skip": 1 , "Model hash": "142698d529" , "Lora hashes": { "add_detail": "7c6bad76eb54" , "epi_noiseoffset2": "d1131f7207d6" } , "Negative prompt": "ng_deepnegative_v1_75t , verybadimagenegative_v1.3 , EasyNegative , bad-image-v2-39000 , bad-hands-5 , badhandv4 , worst quality , blurry , out of focus , low quality , out of frame , logo , signature , username , watermark , picture frame" , "Tiled Diffusion": { "Method": "MultiDiffusion" , "Upscaler": "4x_foolhardy_Remacri" , "Tile Overlap": 48 , "Upscale factor": 3 , "Keep input size": true , "Tile batch size": 8 , "Tile tile width": 96 , "Tile tile height": 96 } , "Denoising strength": 0.25 , "Token merging ratio": 0.3 , "Token merging random": true , "Token merging ratio hr": 0.4 , "Tiled Diffusion upscaler": "4x_foolhardy_Remacri" , "Tiled Diffusion scale factor": 3 } ,
{ "VAE": "vae-ft-mse-840000-ema-pruned" , "Seed": 2732546006 , "Size": "2160x3840" , "Model": "Testing_elldrethsDaydreamMix_v10" , "Steps": 18 , "Parser": "Full parser" , "Sampler": "DPM++ 2M SDE Karras" , "Version": "da38d27" , "CFG scale": 7 , "Clip skip": 1 , "Model hash": "142698d529" , "Lora hashes": { "add_detail": "7c6bad76eb54" , "epi_noiseoffset2": "d1131f7207d6" } , "Negative prompt": "ng_deepnegative_v1_75t , verybadimagenegative_v1.3 , EasyNegative , bad-image-v2-39000 , bad-hands-5 , badhandv4 , worst quality , blurry , out of focus , low quality , out of frame , logo , signature , username , watermark , picture frame" , "Tiled Diffusion": { "Method": "MultiDiffusion" , "Upscaler": "4x_foolhardy_Remacri" , "Tile Overlap": 48 , "Upscale factor": 3 , "Keep input size": true , "Tile batch size": 8 , "Tile tile width": 96 , "Tile tile height": 96 } , "Denoising strength": 0.25 , "Token merging ratio": 0.3 , "Token merging random": true , "Token merging ratio hr": 0.4 , "Tiled Diffusion upscaler": "4x_foolhardy_Remacri" , "Tiled Diffusion scale factor": 3 } ,
Illustrative , detailed , and expressive , reminiscent of editorial cartoons. A flotilla of vibrant , miniature dinghies , emblazoned with NGO logos , converge on the choppy waters off the UK coast , as if protesting the treacherous sea itself. Amidst the chaos , a solitary life ring bobs precariously , conveying the urgent message of crisis and risk. ,
