dunaevai135
/
tst2_d
- Public
- 154 runs
-
H100
Prediction
dunaevai135/tst2_d:0e45c3f1210ebd9d2ac7639cdae61aaa7835d6ae534b56611f3703b465870bedIDga6153rmbnrm20chnbw9cena4cStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- a photo of DUN, man
- lora_scale
- 1
- num_outputs
- 2
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- extra_lora_scale
- 0.8
- num_inference_steps
- 28
{ "model": "dev", "prompt": "a photo of DUN, man", "lora_scale": 1, "num_outputs": 2, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "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 dunaevai135/tst2_d using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "dunaevai135/tst2_d:0e45c3f1210ebd9d2ac7639cdae61aaa7835d6ae534b56611f3703b465870bed", { input: { model: "dev", prompt: "a photo of DUN, man", lora_scale: 1, num_outputs: 2, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, extra_lora_scale: 0.8, 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 dunaevai135/tst2_d using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "dunaevai135/tst2_d:0e45c3f1210ebd9d2ac7639cdae61aaa7835d6ae534b56611f3703b465870bed", input={ "model": "dev", "prompt": "a photo of DUN, man", "lora_scale": 1, "num_outputs": 2, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run dunaevai135/tst2_d 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": "dunaevai135/tst2_d:0e45c3f1210ebd9d2ac7639cdae61aaa7835d6ae534b56611f3703b465870bed", "input": { "model": "dev", "prompt": "a photo of DUN, man", "lora_scale": 1, "num_outputs": 2, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "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": "2024-09-01T00:24:56.628440Z", "created_at": "2024-09-01T00:24:30.557000Z", "data_removed": false, "error": null, "id": "ga6153rmbnrm20chnbw9cena4c", "input": { "model": "dev", "prompt": "a photo of DUN, man", "lora_scale": 1, "num_outputs": 2, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }, "logs": "Using seed: 26715\nPrompt: a photo of DUN, man\ntxt2img mode\nUsing dev model\nfree=9551766028288\nDownloading weights\n2024-09-01T00:24:30Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpcb010g6s/weights url=https://replicate.delivery/yhqm/wd0DjZHHwUoXEVDklDSdB6w9FAUcQ2ctCKwqG9hk3n7wkF2E/trained_model.tar\n2024-09-01T00:24:31Z | INFO | [ Complete ] dest=/tmp/tmpcb010g6s/weights size=\"172 MB\" total_elapsed=1.295s url=https://replicate.delivery/yhqm/wd0DjZHHwUoXEVDklDSdB6w9FAUcQ2ctCKwqG9hk3n7wkF2E/trained_model.tar\nDownloaded weights in 1.33s\nLoaded LoRAs in 10.47s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:14, 1.92it/s]\n 7%|▋ | 2/28 [00:00<00:11, 2.19it/s]\n 11%|█ | 3/28 [00:01<00:12, 2.05it/s]\n 14%|█▍ | 4/28 [00:01<00:12, 1.99it/s]\n 18%|█▊ | 5/28 [00:02<00:11, 1.96it/s]\n 21%|██▏ | 6/28 [00:03<00:11, 1.94it/s]\n 25%|██▌ | 7/28 [00:03<00:10, 1.93it/s]\n 29%|██▊ | 8/28 [00:04<00:10, 1.92it/s]\n 32%|███▏ | 9/28 [00:04<00:09, 1.91it/s]\n 36%|███▌ | 10/28 [00:05<00:09, 1.91it/s]\n 39%|███▉ | 11/28 [00:05<00:08, 1.91it/s]\n 43%|████▎ | 12/28 [00:06<00:08, 1.91it/s]\n 46%|████▋ | 13/28 [00:06<00:07, 1.91it/s]\n 50%|█████ | 14/28 [00:07<00:07, 1.91it/s]\n 54%|█████▎ | 15/28 [00:07<00:06, 1.91it/s]\n 57%|█████▋ | 16/28 [00:08<00:06, 1.91it/s]\n 61%|██████ | 17/28 [00:08<00:05, 1.91it/s]\n 64%|██████▍ | 18/28 [00:09<00:05, 1.91it/s]\n 68%|██████▊ | 19/28 [00:09<00:04, 1.91it/s]\n 71%|███████▏ | 20/28 [00:10<00:04, 1.91it/s]\n 75%|███████▌ | 21/28 [00:10<00:03, 1.90it/s]\n 79%|███████▊ | 22/28 [00:11<00:03, 1.90it/s]\n 82%|████████▏ | 23/28 [00:11<00:02, 1.90it/s]\n 86%|████████▌ | 24/28 [00:12<00:02, 1.90it/s]\n 89%|████████▉ | 25/28 [00:13<00:01, 1.90it/s]\n 93%|█████████▎| 26/28 [00:13<00:01, 1.90it/s]\n 96%|█████████▋| 27/28 [00:14<00:00, 1.91it/s]\n100%|██████████| 28/28 [00:14<00:00, 1.90it/s]\n100%|██████████| 28/28 [00:14<00:00, 1.92it/s]", "metrics": { "predict_time": 26.060709424, "total_time": 26.07144 }, "output": [ "https://replicate.delivery/yhqm/nSveVA7LziUCbqKRfVxUvmP9pzbMArz3jppQZD61w9fxyswmA/out-0.webp", "https://replicate.delivery/yhqm/HNuTWyfxskTfuUvJfXuDtkPbGp8Hh1W7sYFBRw45pR6wyswmA/out-1.webp" ], "started_at": "2024-09-01T00:24:30.567731Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/ga6153rmbnrm20chnbw9cena4c", "cancel": "https://api.replicate.com/v1/predictions/ga6153rmbnrm20chnbw9cena4c/cancel" }, "version": "0e45c3f1210ebd9d2ac7639cdae61aaa7835d6ae534b56611f3703b465870bed" }Generated inUsing seed: 26715 Prompt: a photo of DUN, man txt2img mode Using dev model free=9551766028288 Downloading weights 2024-09-01T00:24:30Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpcb010g6s/weights url=https://replicate.delivery/yhqm/wd0DjZHHwUoXEVDklDSdB6w9FAUcQ2ctCKwqG9hk3n7wkF2E/trained_model.tar 2024-09-01T00:24:31Z | INFO | [ Complete ] dest=/tmp/tmpcb010g6s/weights size="172 MB" total_elapsed=1.295s url=https://replicate.delivery/yhqm/wd0DjZHHwUoXEVDklDSdB6w9FAUcQ2ctCKwqG9hk3n7wkF2E/trained_model.tar Downloaded weights in 1.33s Loaded LoRAs in 10.47s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:14, 1.92it/s] 7%|▋ | 2/28 [00:00<00:11, 2.19it/s] 11%|█ | 3/28 [00:01<00:12, 2.05it/s] 14%|█▍ | 4/28 [00:01<00:12, 1.99it/s] 18%|█▊ | 5/28 [00:02<00:11, 1.96it/s] 21%|██▏ | 6/28 [00:03<00:11, 1.94it/s] 25%|██▌ | 7/28 [00:03<00:10, 1.93it/s] 29%|██▊ | 8/28 [00:04<00:10, 1.92it/s] 32%|███▏ | 9/28 [00:04<00:09, 1.91it/s] 36%|███▌ | 10/28 [00:05<00:09, 1.91it/s] 39%|███▉ | 11/28 [00:05<00:08, 1.91it/s] 43%|████▎ | 12/28 [00:06<00:08, 1.91it/s] 46%|████▋ | 13/28 [00:06<00:07, 1.91it/s] 50%|█████ | 14/28 [00:07<00:07, 1.91it/s] 54%|█████▎ | 15/28 [00:07<00:06, 1.91it/s] 57%|█████▋ | 16/28 [00:08<00:06, 1.91it/s] 61%|██████ | 17/28 [00:08<00:05, 1.91it/s] 64%|██████▍ | 18/28 [00:09<00:05, 1.91it/s] 68%|██████▊ | 19/28 [00:09<00:04, 1.91it/s] 71%|███████▏ | 20/28 [00:10<00:04, 1.91it/s] 75%|███████▌ | 21/28 [00:10<00:03, 1.90it/s] 79%|███████▊ | 22/28 [00:11<00:03, 1.90it/s] 82%|████████▏ | 23/28 [00:11<00:02, 1.90it/s] 86%|████████▌ | 24/28 [00:12<00:02, 1.90it/s] 89%|████████▉ | 25/28 [00:13<00:01, 1.90it/s] 93%|█████████▎| 26/28 [00:13<00:01, 1.90it/s] 96%|█████████▋| 27/28 [00:14<00:00, 1.91it/s] 100%|██████████| 28/28 [00:14<00:00, 1.90it/s] 100%|██████████| 28/28 [00:14<00:00, 1.92it/s]Prediction
dunaevai135/tst2_d:0e45c3f1210ebd9d2ac7639cdae61aaa7835d6ae534b56611f3703b465870bedIDhmg540sfh1rm60chnbxsf1c5xrStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- a photo of DUN, beautiful woman
- lora_scale
- 1
- num_outputs
- 2
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- extra_lora_scale
- 0.8
- num_inference_steps
- 28
{ "model": "dev", "prompt": "a photo of DUN, beautiful woman", "lora_scale": 1, "num_outputs": 2, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "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 dunaevai135/tst2_d using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "dunaevai135/tst2_d:0e45c3f1210ebd9d2ac7639cdae61aaa7835d6ae534b56611f3703b465870bed", { input: { model: "dev", prompt: "a photo of DUN, beautiful woman", lora_scale: 1, num_outputs: 2, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, extra_lora_scale: 0.8, 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 dunaevai135/tst2_d using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "dunaevai135/tst2_d:0e45c3f1210ebd9d2ac7639cdae61aaa7835d6ae534b56611f3703b465870bed", input={ "model": "dev", "prompt": "a photo of DUN, beautiful woman", "lora_scale": 1, "num_outputs": 2, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run dunaevai135/tst2_d 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": "dunaevai135/tst2_d:0e45c3f1210ebd9d2ac7639cdae61aaa7835d6ae534b56611f3703b465870bed", "input": { "model": "dev", "prompt": "a photo of DUN, beautiful woman", "lora_scale": 1, "num_outputs": 2, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "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": "2024-09-01T00:30:38.772322Z", "created_at": "2024-09-01T00:27:54.120000Z", "data_removed": false, "error": null, "id": "hmg540sfh1rm60chnbxsf1c5xr", "input": { "model": "dev", "prompt": "a photo of DUN, beautiful woman", "lora_scale": 1, "num_outputs": 2, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }, "logs": "Using seed: 12641\nPrompt: a photo of DUN, beautiful woman\ntxt2img mode\nUsing dev model\nfree=9472855007232\nDownloading weights\n2024-09-01T00:28:44Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpii73torj/weights url=https://replicate.delivery/yhqm/wd0DjZHHwUoXEVDklDSdB6w9FAUcQ2ctCKwqG9hk3n7wkF2E/trained_model.tar\n2024-09-01T00:28:47Z | INFO | [ Complete ] dest=/tmp/tmpii73torj/weights size=\"172 MB\" total_elapsed=3.671s url=https://replicate.delivery/yhqm/wd0DjZHHwUoXEVDklDSdB6w9FAUcQ2ctCKwqG9hk3n7wkF2E/trained_model.tar\nDownloaded weights in 3.70s\nLoaded LoRAs in 98.42s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:15, 1.69it/s]\n 7%|▋ | 2/28 [00:00<00:12, 2.07it/s]\n 11%|█ | 3/28 [00:01<00:12, 1.99it/s]\n 14%|█▍ | 4/28 [00:02<00:12, 1.96it/s]\n 18%|█▊ | 5/28 [00:02<00:11, 1.95it/s]\n 21%|██▏ | 6/28 [00:03<00:11, 1.93it/s]\n 25%|██▌ | 7/28 [00:03<00:10, 1.92it/s]\n 29%|██▊ | 8/28 [00:04<00:10, 1.92it/s]\n 32%|███▏ | 9/28 [00:04<00:09, 1.92it/s]\n 36%|███▌ | 10/28 [00:05<00:09, 1.91it/s]\n 39%|███▉ | 11/28 [00:05<00:08, 1.91it/s]\n 43%|████▎ | 12/28 [00:06<00:08, 1.91it/s]\n 46%|████▋ | 13/28 [00:06<00:07, 1.91it/s]\n 50%|█████ | 14/28 [00:07<00:07, 1.91it/s]\n 54%|█████▎ | 15/28 [00:07<00:06, 1.91it/s]\n 57%|█████▋ | 16/28 [00:08<00:06, 1.90it/s]\n 61%|██████ | 17/28 [00:08<00:05, 1.90it/s]\n 64%|██████▍ | 18/28 [00:09<00:05, 1.90it/s]\n 68%|██████▊ | 19/28 [00:09<00:04, 1.90it/s]\n 71%|███████▏ | 20/28 [00:10<00:04, 1.90it/s]\n 75%|███████▌ | 21/28 [00:10<00:03, 1.90it/s]\n 79%|███████▊ | 22/28 [00:11<00:03, 1.90it/s]\n 82%|████████▏ | 23/28 [00:12<00:02, 1.90it/s]\n 86%|████████▌ | 24/28 [00:12<00:02, 1.90it/s]\n 89%|████████▉ | 25/28 [00:13<00:01, 1.90it/s]\n 93%|█████████▎| 26/28 [00:13<00:01, 1.90it/s]\n 96%|█████████▋| 27/28 [00:14<00:00, 1.90it/s]\n100%|██████████| 28/28 [00:14<00:00, 1.89it/s]\n100%|██████████| 28/28 [00:14<00:00, 1.91it/s]\nPotential NSFW content was detected in one or more images. A black image will be returned instead. Try again with a different prompt and/or seed.\nNSFW content detected in image 0", "metrics": { "predict_time": 114.477130019, "total_time": 164.652322 }, "output": [ "https://replicate.delivery/yhqm/tAi722gPH4aBK1a4gFp5xvfvpAfWmUgUX245RVyVbu1ueswmA/out-1.webp" ], "started_at": "2024-09-01T00:28:44.295192Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/hmg540sfh1rm60chnbxsf1c5xr", "cancel": "https://api.replicate.com/v1/predictions/hmg540sfh1rm60chnbxsf1c5xr/cancel" }, "version": "0e45c3f1210ebd9d2ac7639cdae61aaa7835d6ae534b56611f3703b465870bed" }Generated inUsing seed: 12641 Prompt: a photo of DUN, beautiful woman txt2img mode Using dev model free=9472855007232 Downloading weights 2024-09-01T00:28:44Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpii73torj/weights url=https://replicate.delivery/yhqm/wd0DjZHHwUoXEVDklDSdB6w9FAUcQ2ctCKwqG9hk3n7wkF2E/trained_model.tar 2024-09-01T00:28:47Z | INFO | [ Complete ] dest=/tmp/tmpii73torj/weights size="172 MB" total_elapsed=3.671s url=https://replicate.delivery/yhqm/wd0DjZHHwUoXEVDklDSdB6w9FAUcQ2ctCKwqG9hk3n7wkF2E/trained_model.tar Downloaded weights in 3.70s Loaded LoRAs in 98.42s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:15, 1.69it/s] 7%|▋ | 2/28 [00:00<00:12, 2.07it/s] 11%|█ | 3/28 [00:01<00:12, 1.99it/s] 14%|█▍ | 4/28 [00:02<00:12, 1.96it/s] 18%|█▊ | 5/28 [00:02<00:11, 1.95it/s] 21%|██▏ | 6/28 [00:03<00:11, 1.93it/s] 25%|██▌ | 7/28 [00:03<00:10, 1.92it/s] 29%|██▊ | 8/28 [00:04<00:10, 1.92it/s] 32%|███▏ | 9/28 [00:04<00:09, 1.92it/s] 36%|███▌ | 10/28 [00:05<00:09, 1.91it/s] 39%|███▉ | 11/28 [00:05<00:08, 1.91it/s] 43%|████▎ | 12/28 [00:06<00:08, 1.91it/s] 46%|████▋ | 13/28 [00:06<00:07, 1.91it/s] 50%|█████ | 14/28 [00:07<00:07, 1.91it/s] 54%|█████▎ | 15/28 [00:07<00:06, 1.91it/s] 57%|█████▋ | 16/28 [00:08<00:06, 1.90it/s] 61%|██████ | 17/28 [00:08<00:05, 1.90it/s] 64%|██████▍ | 18/28 [00:09<00:05, 1.90it/s] 68%|██████▊ | 19/28 [00:09<00:04, 1.90it/s] 71%|███████▏ | 20/28 [00:10<00:04, 1.90it/s] 75%|███████▌ | 21/28 [00:10<00:03, 1.90it/s] 79%|███████▊ | 22/28 [00:11<00:03, 1.90it/s] 82%|████████▏ | 23/28 [00:12<00:02, 1.90it/s] 86%|████████▌ | 24/28 [00:12<00:02, 1.90it/s] 89%|████████▉ | 25/28 [00:13<00:01, 1.90it/s] 93%|█████████▎| 26/28 [00:13<00:01, 1.90it/s] 96%|█████████▋| 27/28 [00:14<00:00, 1.90it/s] 100%|██████████| 28/28 [00:14<00:00, 1.89it/s] 100%|██████████| 28/28 [00:14<00:00, 1.91it/s] Potential NSFW content was detected in one or more images. A black image will be returned instead. Try again with a different prompt and/or seed. NSFW content detected in image 0
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