maffuw
/
scrub-runners2
- Public
- 41 runs
-
H100
Prediction
maffuw/scrub-runners2:74d9fb67cc95402c1057c771467a458ab7e98a0b6833be94211994c0c1c6f70fIDv8s95ttc5drm60chr1g9pm7ha4StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- WHITESRSNKRS with a bright pink sole close-up angle showing the shoe’s intricate details, including nurse characters, syringes, red hearts with heartbeat lines, stethoscopes, bandages, and pills. Set against a neutral backdrop, the lighting subtly emphasizes the texture of the shoe's surface. Photographed in 35mm style for clarity.
- lora_scale
- 1
- num_outputs
- 4
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 100
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "WHITESRSNKRS with a bright pink sole close-up angle showing the shoe’s intricate details, including nurse characters, syringes, red hearts with heartbeat lines, stethoscopes, bandages, and pills. Set against a neutral backdrop, the lighting subtly emphasizes the texture of the shoe's surface. Photographed in 35mm style for clarity.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 100, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run maffuw/scrub-runners2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "maffuw/scrub-runners2:74d9fb67cc95402c1057c771467a458ab7e98a0b6833be94211994c0c1c6f70f", { input: { model: "dev", prompt: "WHITESRSNKRS with a bright pink sole close-up angle showing the shoe’s intricate details, including nurse characters, syringes, red hearts with heartbeat lines, stethoscopes, bandages, and pills. Set against a neutral backdrop, the lighting subtly emphasizes the texture of the shoe's surface. Photographed in 35mm style for clarity.", lora_scale: 1, num_outputs: 4, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 100, prompt_strength: 0.8, extra_lora_scale: 1, num_inference_steps: 28 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun maffuw/scrub-runners2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "maffuw/scrub-runners2:74d9fb67cc95402c1057c771467a458ab7e98a0b6833be94211994c0c1c6f70f", input={ "model": "dev", "prompt": "WHITESRSNKRS with a bright pink sole close-up angle showing the shoe’s intricate details, including nurse characters, syringes, red hearts with heartbeat lines, stethoscopes, bandages, and pills. Set against a neutral backdrop, the lighting subtly emphasizes the texture of the shoe's surface. Photographed in 35mm style for clarity.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 100, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run maffuw/scrub-runners2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "74d9fb67cc95402c1057c771467a458ab7e98a0b6833be94211994c0c1c6f70f", "input": { "model": "dev", "prompt": "WHITESRSNKRS with a bright pink sole close-up angle showing the shoe’s intricate details, including nurse characters, syringes, red hearts with heartbeat lines, stethoscopes, bandages, and pills. Set against a neutral backdrop, the lighting subtly emphasizes the texture of the shoe\'s surface. Photographed in 35mm style for clarity.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 100, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-09-05T04:12:33.626307Z", "created_at": "2024-09-05T04:10:22.123000Z", "data_removed": false, "error": null, "id": "v8s95ttc5drm60chr1g9pm7ha4", "input": { "model": "dev", "prompt": "WHITESRSNKRS with a bright pink sole close-up angle showing the shoe’s intricate details, including nurse characters, syringes, red hearts with heartbeat lines, stethoscopes, bandages, and pills. Set against a neutral backdrop, the lighting subtly emphasizes the texture of the shoe's surface. Photographed in 35mm style for clarity.", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 100, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "Using seed: 45702\nPrompt: WHITESRSNKRS with a bright pink sole close-up angle showing the shoe’s intricate details, including nurse characters, syringes, red hearts with heartbeat lines, stethoscopes, bandages, and pills. Set against a neutral backdrop, the lighting subtly emphasizes the texture of the shoe's surface. Photographed in 35mm style for clarity.\ntxt2img mode\nUsing dev model\nfree=8423066492928\nDownloading weights\n2024-09-05T04:10:24Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpl35wijh8/weights url=https://replicate.delivery/yhqm/SkhGsbAyyO6ODRXeddZRMFKLDInhQEYfb95SmpNzBmY6fazmA/trained_model.tar\n2024-09-05T04:10:27Z | INFO | [ Complete ] dest=/tmp/tmpl35wijh8/weights size=\"344 MB\" total_elapsed=3.377s url=https://replicate.delivery/yhqm/SkhGsbAyyO6ODRXeddZRMFKLDInhQEYfb95SmpNzBmY6fazmA/trained_model.tar\nDownloaded weights in 3.41s\nLoaded LoRAs in 97.63s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:01<00:28, 1.06s/it]\n 7%|▋ | 2/28 [00:01<00:24, 1.05it/s]\n 11%|█ | 3/28 [00:02<00:25, 1.00s/it]\n 14%|█▍ | 4/28 [00:04<00:24, 1.03s/it]\n 18%|█▊ | 5/28 [00:05<00:24, 1.05s/it]\n 21%|██▏ | 6/28 [00:06<00:23, 1.05s/it]\n 25%|██▌ | 7/28 [00:07<00:22, 1.06s/it]\n 29%|██▊ | 8/28 [00:08<00:21, 1.06s/it]\n 32%|███▏ | 9/28 [00:09<00:20, 1.07s/it]\n 36%|███▌ | 10/28 [00:10<00:19, 1.07s/it]\n 39%|███▉ | 11/28 [00:11<00:18, 1.07s/it]\n 43%|████▎ | 12/28 [00:12<00:17, 1.07s/it]\n 46%|████▋ | 13/28 [00:13<00:16, 1.07s/it]\n 50%|█████ | 14/28 [00:14<00:15, 1.07s/it]\n 54%|█████▎ | 15/28 [00:15<00:13, 1.07s/it]\n 57%|█████▋ | 16/28 [00:16<00:12, 1.07s/it]\n 61%|██████ | 17/28 [00:18<00:11, 1.07s/it]\n 64%|██████▍ | 18/28 [00:19<00:10, 1.07s/it]\n 68%|██████▊ | 19/28 [00:20<00:09, 1.07s/it]\n 71%|███████▏ | 20/28 [00:21<00:08, 1.07s/it]\n 75%|███████▌ | 21/28 [00:22<00:07, 1.07s/it]\n 79%|███████▊ | 22/28 [00:23<00:06, 1.08s/it]\n 82%|████████▏ | 23/28 [00:24<00:05, 1.08s/it]\n 86%|████████▌ | 24/28 [00:25<00:04, 1.07s/it]\n 89%|████████▉ | 25/28 [00:26<00:03, 1.07s/it]\n 93%|█████████▎| 26/28 [00:27<00:02, 1.08s/it]\n 96%|█████████▋| 27/28 [00:28<00:01, 1.08s/it]\n100%|██████████| 28/28 [00:29<00:00, 1.07s/it]\n100%|██████████| 28/28 [00:29<00:00, 1.07s/it]", "metrics": { "predict_time": 129.193734754, "total_time": 131.503307 }, "output": [ "https://replicate.delivery/yhqm/usDTZKkmD0bhAtIBNuhopFb6frHEaLqdka2yLkh8AD0YD3sJA/out-0.webp", "https://replicate.delivery/yhqm/cgY2Ijir2DbOCJ2jHvoHewsUH5SEremttmRoTJqhPSgxGuZTA/out-1.webp", "https://replicate.delivery/yhqm/jDufOgEsxRSub60qrD1H9kNgqDPujekheJCJUjXcrCSjNczmA/out-2.webp", "https://replicate.delivery/yhqm/5muPmVyz5PbGDVMZfjMgumvnAOftdJGIPesDYGYpUnVjNczmA/out-3.webp" ], "started_at": "2024-09-05T04:10:24.432573Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/v8s95ttc5drm60chr1g9pm7ha4", "cancel": "https://api.replicate.com/v1/predictions/v8s95ttc5drm60chr1g9pm7ha4/cancel" }, "version": "74d9fb67cc95402c1057c771467a458ab7e98a0b6833be94211994c0c1c6f70f" }Generated inUsing seed: 45702 Prompt: WHITESRSNKRS with a bright pink sole close-up angle showing the shoe’s intricate details, including nurse characters, syringes, red hearts with heartbeat lines, stethoscopes, bandages, and pills. Set against a neutral backdrop, the lighting subtly emphasizes the texture of the shoe's surface. Photographed in 35mm style for clarity. txt2img mode Using dev model free=8423066492928 Downloading weights 2024-09-05T04:10:24Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpl35wijh8/weights url=https://replicate.delivery/yhqm/SkhGsbAyyO6ODRXeddZRMFKLDInhQEYfb95SmpNzBmY6fazmA/trained_model.tar 2024-09-05T04:10:27Z | INFO | [ Complete ] dest=/tmp/tmpl35wijh8/weights size="344 MB" total_elapsed=3.377s url=https://replicate.delivery/yhqm/SkhGsbAyyO6ODRXeddZRMFKLDInhQEYfb95SmpNzBmY6fazmA/trained_model.tar Downloaded weights in 3.41s Loaded LoRAs in 97.63s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:28, 1.06s/it] 7%|▋ | 2/28 [00:01<00:24, 1.05it/s] 11%|█ | 3/28 [00:02<00:25, 1.00s/it] 14%|█▍ | 4/28 [00:04<00:24, 1.03s/it] 18%|█▊ | 5/28 [00:05<00:24, 1.05s/it] 21%|██▏ | 6/28 [00:06<00:23, 1.05s/it] 25%|██▌ | 7/28 [00:07<00:22, 1.06s/it] 29%|██▊ | 8/28 [00:08<00:21, 1.06s/it] 32%|███▏ | 9/28 [00:09<00:20, 1.07s/it] 36%|███▌ | 10/28 [00:10<00:19, 1.07s/it] 39%|███▉ | 11/28 [00:11<00:18, 1.07s/it] 43%|████▎ | 12/28 [00:12<00:17, 1.07s/it] 46%|████▋ | 13/28 [00:13<00:16, 1.07s/it] 50%|█████ | 14/28 [00:14<00:15, 1.07s/it] 54%|█████▎ | 15/28 [00:15<00:13, 1.07s/it] 57%|█████▋ | 16/28 [00:16<00:12, 1.07s/it] 61%|██████ | 17/28 [00:18<00:11, 1.07s/it] 64%|██████▍ | 18/28 [00:19<00:10, 1.07s/it] 68%|██████▊ | 19/28 [00:20<00:09, 1.07s/it] 71%|███████▏ | 20/28 [00:21<00:08, 1.07s/it] 75%|███████▌ | 21/28 [00:22<00:07, 1.07s/it] 79%|███████▊ | 22/28 [00:23<00:06, 1.08s/it] 82%|████████▏ | 23/28 [00:24<00:05, 1.08s/it] 86%|████████▌ | 24/28 [00:25<00:04, 1.07s/it] 89%|████████▉ | 25/28 [00:26<00:03, 1.07s/it] 93%|█████████▎| 26/28 [00:27<00:02, 1.08s/it] 96%|█████████▋| 27/28 [00:28<00:01, 1.08s/it] 100%|██████████| 28/28 [00:29<00:00, 1.07s/it] 100%|██████████| 28/28 [00:29<00:00, 1.07s/it]
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