This is ModelsLab Stable Diffusion and Multiple AI APIs, here you can pass details to generate images using API, without needs of GPU locally.
\nYou will need to have api key to generate images, if you don't have it, get it from https://modelslab.com
\nSend Json post request with data and links, don't send files as raw format, send accessible links instead
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ma=86400, h3-29=\":443\"; ma=86400"}],"cookie":[],"responseTime":null,"body":"{\n \"status\": \"success\",\n \"generationTime\": 2.920767068862915,\n \"id\": 302455,\n \"output\": [\n \"https://d1okzptojspljx.cloudfront.net/generations/05c3260d-6a2e-4aa5-82f0-e952f2a5fa10-0.png\"\n ],\n \"meta\": {\n \"H\": 512,\n \"W\": 512,\n \"enable_attention_slicing\": \"true\",\n \"file_prefix\": \"05c3260d-6a2e-4aa5-82f0-e952f2a5fa10\",\n \"guidance_scale\": 7.5,\n \"model\": \"runwayml/stable-diffusion-v1-5\",\n \"n_samples\": 1,\n \"negative_prompt\": \"((out of frame)), ((extra fingers)), mutated hands, ((poorly drawn hands)), ((poorly drawn face)), (((mutation))), (((deformed))), (((tiling))), ((naked)), ((tile)), ((fleshpile)), ((ugly)), (((abstract))), blurry, ((bad anatomy)), ((bad proportions)), ((extra limbs)), cloned face, (((skinny))), glitchy, ((extra breasts)), ((double torso)), ((extra arms)), ((extra hands)), ((mangled fingers)), ((missing breasts)), (missing lips), ((ugly face)), ((fat)), ((extra legs)), anime\",\n \"outdir\": \"out\",\n \"prompt\": \"ultra realistic close up portrait ((beautiful pale cyberpunk female with heavy black eyeliner)), blue eyes, shaved side haircut, hyper detail, cinematic lighting, magic neon, dark red city, Canon EOS R3, nikon, f/1.4, ISO 200, 1/160s, 8K, RAW, unedited, symmetrical balance, in-frame, 8K\",\n \"revision\": \"fp16\",\n \"safety_checker\": \"none\",\n \"seed\": 1793745243,\n \"steps\": 20,\n \"vae\": \"stabilityai/sd-vae-ft-mse\"\n }\n}"}],"_postman_id":"c7e3c6a0-b57d-4d17-ad5a-c4eb8571021f"},{"name":"Image 2 Image","id":"4818799e-242e-47b9-a7d0-212631a53632","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"method":"POST","header":[],"body":{"mode":"raw","raw":"{\n \"key\": \"VXuWUUbDswgRGXEN7KEYaSsyFeKpzArd8b4ubROhb6Es3soLBLWhVwAa8UJC\",\n \"model_id\": \"flux-kontext-dev\",\n \"prompt\": \"Overlay the necklace from image two onto the woman in image one, proportionally scaled and aligned to her neck contour. 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\nkey : Your API Key
\nprompt : Your Prompt
\nsamples : number of images you want in response
\nnegative_prompt : Items you don't want in the image
\ninit_image : link of Initial Image
\nmask_image : link of mask image for inpainting
\nwidth : Width of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
\nheight : Height of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
\nprompt_strength : Prompt strength when using init image. 1.0 corresponds to full destruction of information in init image
\nnum_inference_steps : Number of denoising steps (minimum: 1; maximum: 50)
\nguidance_scale : Scale for classifier-free guidance (minimum: 1; maximum: 20)
\nseed : Random seed. Leave blank to randomize the seed
\nwebhook : webhook to call when image generation is completed
\ntrack_id : tracking id to track this api call
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\nclass_prompt: class without prompt
\nimages: make sure images are direct links, cropped in 512x512 : keep it about 7-8 images
\nseed: keep it null or 0
\ntraining_type: type of object you are training on:
\nmax_train_steps: keep it 2X number of images: Max: 2000
\nwebhook: get post call when training is completed
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