marlonbarrios / sdxl-lusterbinds
LUSTERBINDS Creatures of lust, luster and artifice. Project: The Model is the Message. To trigger the modeled construct use lusterbinds_1 as a token.
- Public
- 308 runs
-
L40S
- SDXL fine-tune
Prediction
marlonbarrios/sdxl-lusterbinds:edaf74d63b196aa6bd3bf46d5d0dfffaf0ada64f88ebe5b5cd3615768a22c7bbIDageei63b7qiwtyutmduowmv7i4StatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- width
- 1024
- height
- 1024
- prompt
- lusterbinds_01 bold, male closeup, black lipstick non-binary, black background, hyper realistic decorated face, white eye lashes, looking at camera, smile, eye and lips jewelry, genetically modified beard with hair's that are monarch butterfly antennas chin
- refine
- no_refiner
- scheduler
- K_EULER
- lora_scale
- 0.6
- num_outputs
- 1
- guidance_scale
- 7.5
- apply_watermark
- high_noise_frac
- 0.8
- negative_prompt
- prompt_strength
- 0.8
- num_inference_steps
- 50
{ "width": 1024, "height": 1024, "prompt": "lusterbinds_01 bold, male closeup, black lipstick non-binary, black background, hyper realistic decorated face, white eye lashes, looking at camera, smile, eye and lips jewelry, genetically modified beard with hair's that are monarch butterfly antennas chin", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 50 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run marlonbarrios/sdxl-lusterbinds using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "marlonbarrios/sdxl-lusterbinds:edaf74d63b196aa6bd3bf46d5d0dfffaf0ada64f88ebe5b5cd3615768a22c7bb", { input: { width: 1024, height: 1024, prompt: "lusterbinds_01 bold, male closeup, black lipstick non-binary, black background, hyper realistic decorated face, white eye lashes, looking at camera, smile, eye and lips jewelry, genetically modified beard with hair's that are monarch butterfly antennas chin", refine: "no_refiner", scheduler: "K_EULER", lora_scale: 0.6, num_outputs: 1, guidance_scale: 7.5, apply_watermark: true, high_noise_frac: 0.8, negative_prompt: "", prompt_strength: 0.8, num_inference_steps: 50 } } ); // 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 marlonbarrios/sdxl-lusterbinds using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "marlonbarrios/sdxl-lusterbinds:edaf74d63b196aa6bd3bf46d5d0dfffaf0ada64f88ebe5b5cd3615768a22c7bb", input={ "width": 1024, "height": 1024, "prompt": "lusterbinds_01 bold, male closeup, black lipstick non-binary, black background, hyper realistic decorated face, white eye lashes, looking at camera, smile, eye and lips jewelry, genetically modified beard with hair's that are monarch butterfly antennas chin", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": True, "high_noise_frac": 0.8, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 50 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run marlonbarrios/sdxl-lusterbinds 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": "marlonbarrios/sdxl-lusterbinds:edaf74d63b196aa6bd3bf46d5d0dfffaf0ada64f88ebe5b5cd3615768a22c7bb", "input": { "width": 1024, "height": 1024, "prompt": "lusterbinds_01 bold, male closeup, black lipstick non-binary, black background, hyper realistic decorated face, white eye lashes, looking at camera, smile, eye and lips jewelry, genetically modified beard with hair\'s that are monarch butterfly antennas chin", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-12-12T23:35:18.043714Z", "created_at": "2023-12-12T23:34:56.191113Z", "data_removed": false, "error": null, "id": "ageei63b7qiwtyutmduowmv7i4", "input": { "width": 1024, "height": 1024, "prompt": "lusterbinds_01 bold, male closeup, black lipstick non-binary, black background, hyper realistic decorated face, white eye lashes, looking at camera, smile, eye and lips jewelry, genetically modified beard with hair's that are monarch butterfly antennas chin", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 50 }, "logs": "Using seed: 64350\nEnsuring enough disk space...\nFree disk space: 2010150354944\nDownloading weights: https://replicate.delivery/pbxt/bh7sSUdk9oq1L95CwLfpYxChrBa9meOk2Qc270oW0uUU7PBSA/trained_model.tar\nb'Downloaded 186 MB bytes in 0.136s (1.4 GB/s)\\nExtracted 186 MB in 0.062s (3.0 GB/s)\\n'\nDownloaded weights in 0.3983612060546875 seconds\nLoading fine-tuned model\nDoes not have Unet. assume we are using LoRA\nLoading Unet LoRA\nPrompt: lusterbinds_01 bold, male closeup, black lipstick non-binary, black background, hyper realistic decorated face, white eye lashes, looking at camera, smile, eye and lips jewelry, genetically modified beard with hair's that are monarch butterfly antennas chin\ntxt2img mode\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:13, 3.69it/s]\n 4%|▍ | 2/50 [00:00<00:13, 3.68it/s]\n 6%|▌ | 3/50 [00:00<00:12, 3.68it/s]\n 8%|▊ | 4/50 [00:01<00:12, 3.67it/s]\n 10%|█ | 5/50 [00:01<00:12, 3.67it/s]\n 12%|█▏ | 6/50 [00:01<00:11, 3.68it/s]\n 14%|█▍ | 7/50 [00:01<00:11, 3.68it/s]\n 16%|█▌ | 8/50 [00:02<00:11, 3.68it/s]\n 18%|█▊ | 9/50 [00:02<00:11, 3.68it/s]\n 20%|██ | 10/50 [00:02<00:10, 3.68it/s]\n 22%|██▏ | 11/50 [00:02<00:10, 3.69it/s]\n 24%|██▍ | 12/50 [00:03<00:10, 3.68it/s]\n 26%|██▌ | 13/50 [00:03<00:10, 3.68it/s]\n 28%|██▊ | 14/50 [00:03<00:09, 3.68it/s]\n 30%|███ | 15/50 [00:04<00:09, 3.68it/s]\n 32%|███▏ | 16/50 [00:04<00:09, 3.68it/s]\n 34%|███▍ | 17/50 [00:04<00:08, 3.68it/s]\n 36%|███▌ | 18/50 [00:04<00:08, 3.68it/s]\n 38%|███▊ | 19/50 [00:05<00:08, 3.68it/s]\n 40%|████ | 20/50 [00:05<00:08, 3.68it/s]\n 42%|████▏ | 21/50 [00:05<00:07, 3.68it/s]\n 44%|████▍ | 22/50 [00:05<00:07, 3.68it/s]\n 46%|████▌ | 23/50 [00:06<00:07, 3.68it/s]\n 48%|████▊ | 24/50 [00:06<00:07, 3.68it/s]\n 50%|█████ | 25/50 [00:06<00:06, 3.68it/s]\n 52%|█████▏ | 26/50 [00:07<00:06, 3.68it/s]\n 54%|█████▍ | 27/50 [00:07<00:06, 3.68it/s]\n 56%|█████▌ | 28/50 [00:07<00:05, 3.68it/s]\n 58%|█████▊ | 29/50 [00:07<00:05, 3.67it/s]\n 60%|██████ | 30/50 [00:08<00:05, 3.67it/s]\n 62%|██████▏ | 31/50 [00:08<00:05, 3.68it/s]\n 64%|██████▍ | 32/50 [00:08<00:04, 3.68it/s]\n 66%|██████▌ | 33/50 [00:08<00:04, 3.67it/s]\n 68%|██████▊ | 34/50 [00:09<00:04, 3.67it/s]\n 70%|███████ | 35/50 [00:09<00:04, 3.67it/s]\n 72%|███████▏ | 36/50 [00:09<00:03, 3.67it/s]\n 74%|███████▍ | 37/50 [00:10<00:03, 3.67it/s]\n 76%|███████▌ | 38/50 [00:10<00:03, 3.67it/s]\n 78%|███████▊ | 39/50 [00:10<00:02, 3.67it/s]\n 80%|████████ | 40/50 [00:10<00:02, 3.67it/s]\n 82%|████████▏ | 41/50 [00:11<00:02, 3.66it/s]\n 84%|████████▍ | 42/50 [00:11<00:02, 3.66it/s]\n 86%|████████▌ | 43/50 [00:11<00:01, 3.66it/s]\n 88%|████████▊ | 44/50 [00:11<00:01, 3.66it/s]\n 90%|█████████ | 45/50 [00:12<00:01, 3.66it/s]\n 92%|█████████▏| 46/50 [00:12<00:01, 3.66it/s]\n 94%|█████████▍| 47/50 [00:12<00:00, 3.66it/s]\n 96%|█████████▌| 48/50 [00:13<00:00, 3.66it/s]\n 98%|█████████▊| 49/50 [00:13<00:00, 3.66it/s]\n100%|██████████| 50/50 [00:13<00:00, 3.66it/s]\n100%|██████████| 50/50 [00:13<00:00, 3.67it/s]", "metrics": { "predict_time": 16.046642, "total_time": 21.852601 }, "output": [ "https://replicate.delivery/pbxt/0cNtBRZ0UJIqCB9mxpD9tc5hEFASHDueS9JvqxKLK6e1AqBSA/out-0.png" ], "started_at": "2023-12-12T23:35:01.997072Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/ageei63b7qiwtyutmduowmv7i4", "cancel": "https://api.replicate.com/v1/predictions/ageei63b7qiwtyutmduowmv7i4/cancel" }, "version": "edaf74d63b196aa6bd3bf46d5d0dfffaf0ada64f88ebe5b5cd3615768a22c7bb" }Generated inUsing seed: 64350 Ensuring enough disk space... Free disk space: 2010150354944 Downloading weights: https://replicate.delivery/pbxt/bh7sSUdk9oq1L95CwLfpYxChrBa9meOk2Qc270oW0uUU7PBSA/trained_model.tar b'Downloaded 186 MB bytes in 0.136s (1.4 GB/s)\nExtracted 186 MB in 0.062s (3.0 GB/s)\n' Downloaded weights in 0.3983612060546875 seconds Loading fine-tuned model Does not have Unet. assume we are using LoRA Loading Unet LoRA Prompt: lusterbinds_01 bold, male closeup, black lipstick non-binary, black background, hyper realistic decorated face, white eye lashes, looking at camera, smile, eye and lips jewelry, genetically modified beard with hair's that are monarch butterfly antennas chin txt2img mode 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:13, 3.69it/s] 4%|▍ | 2/50 [00:00<00:13, 3.68it/s] 6%|▌ | 3/50 [00:00<00:12, 3.68it/s] 8%|▊ | 4/50 [00:01<00:12, 3.67it/s] 10%|█ | 5/50 [00:01<00:12, 3.67it/s] 12%|█▏ | 6/50 [00:01<00:11, 3.68it/s] 14%|█▍ | 7/50 [00:01<00:11, 3.68it/s] 16%|█▌ | 8/50 [00:02<00:11, 3.68it/s] 18%|█▊ | 9/50 [00:02<00:11, 3.68it/s] 20%|██ | 10/50 [00:02<00:10, 3.68it/s] 22%|██▏ | 11/50 [00:02<00:10, 3.69it/s] 24%|██▍ | 12/50 [00:03<00:10, 3.68it/s] 26%|██▌ | 13/50 [00:03<00:10, 3.68it/s] 28%|██▊ | 14/50 [00:03<00:09, 3.68it/s] 30%|███ | 15/50 [00:04<00:09, 3.68it/s] 32%|███▏ | 16/50 [00:04<00:09, 3.68it/s] 34%|███▍ | 17/50 [00:04<00:08, 3.68it/s] 36%|███▌ | 18/50 [00:04<00:08, 3.68it/s] 38%|███▊ | 19/50 [00:05<00:08, 3.68it/s] 40%|████ | 20/50 [00:05<00:08, 3.68it/s] 42%|████▏ | 21/50 [00:05<00:07, 3.68it/s] 44%|████▍ | 22/50 [00:05<00:07, 3.68it/s] 46%|████▌ | 23/50 [00:06<00:07, 3.68it/s] 48%|████▊ | 24/50 [00:06<00:07, 3.68it/s] 50%|█████ | 25/50 [00:06<00:06, 3.68it/s] 52%|█████▏ | 26/50 [00:07<00:06, 3.68it/s] 54%|█████▍ | 27/50 [00:07<00:06, 3.68it/s] 56%|█████▌ | 28/50 [00:07<00:05, 3.68it/s] 58%|█████▊ | 29/50 [00:07<00:05, 3.67it/s] 60%|██████ | 30/50 [00:08<00:05, 3.67it/s] 62%|██████▏ | 31/50 [00:08<00:05, 3.68it/s] 64%|██████▍ | 32/50 [00:08<00:04, 3.68it/s] 66%|██████▌ | 33/50 [00:08<00:04, 3.67it/s] 68%|██████▊ | 34/50 [00:09<00:04, 3.67it/s] 70%|███████ | 35/50 [00:09<00:04, 3.67it/s] 72%|███████▏ | 36/50 [00:09<00:03, 3.67it/s] 74%|███████▍ | 37/50 [00:10<00:03, 3.67it/s] 76%|███████▌ | 38/50 [00:10<00:03, 3.67it/s] 78%|███████▊ | 39/50 [00:10<00:02, 3.67it/s] 80%|████████ | 40/50 [00:10<00:02, 3.67it/s] 82%|████████▏ | 41/50 [00:11<00:02, 3.66it/s] 84%|████████▍ | 42/50 [00:11<00:02, 3.66it/s] 86%|████████▌ | 43/50 [00:11<00:01, 3.66it/s] 88%|████████▊ | 44/50 [00:11<00:01, 3.66it/s] 90%|█████████ | 45/50 [00:12<00:01, 3.66it/s] 92%|█████████▏| 46/50 [00:12<00:01, 3.66it/s] 94%|█████████▍| 47/50 [00:12<00:00, 3.66it/s] 96%|█████████▌| 48/50 [00:13<00:00, 3.66it/s] 98%|█████████▊| 49/50 [00:13<00:00, 3.66it/s] 100%|██████████| 50/50 [00:13<00:00, 3.66it/s] 100%|██████████| 50/50 [00:13<00:00, 3.67it/s]Prediction
marlonbarrios/sdxl-lusterbinds:edaf74d63b196aa6bd3bf46d5d0dfffaf0ada64f88ebe5b5cd3615768a22c7bbIDki543g3bizajzy4uc3g2k5fxvuStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- width
- 1024
- height
- 1024
- prompt
- lusterbinds_01 bold, male closeup, black lipstick non-binary, black background, hyper realistic decorated face, white eye lashes, looking at camera, smile, eye and lips jewelry, genetically modified beard
- refine
- no_refiner
- scheduler
- K_EULER
- lora_scale
- 0.6
- num_outputs
- 1
- guidance_scale
- 7.5
- apply_watermark
- high_noise_frac
- 0.8
- negative_prompt
- prompt_strength
- 0.8
- num_inference_steps
- 50
{ "width": 1024, "height": 1024, "prompt": "lusterbinds_01 bold, male closeup, black lipstick non-binary, black background, hyper realistic decorated face, white eye lashes, looking at camera, smile, eye and lips jewelry, genetically modified beard", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 50 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run marlonbarrios/sdxl-lusterbinds using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "marlonbarrios/sdxl-lusterbinds:edaf74d63b196aa6bd3bf46d5d0dfffaf0ada64f88ebe5b5cd3615768a22c7bb", { input: { width: 1024, height: 1024, prompt: "lusterbinds_01 bold, male closeup, black lipstick non-binary, black background, hyper realistic decorated face, white eye lashes, looking at camera, smile, eye and lips jewelry, genetically modified beard", refine: "no_refiner", scheduler: "K_EULER", lora_scale: 0.6, num_outputs: 1, guidance_scale: 7.5, apply_watermark: true, high_noise_frac: 0.8, negative_prompt: "", prompt_strength: 0.8, num_inference_steps: 50 } } ); // 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 marlonbarrios/sdxl-lusterbinds using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "marlonbarrios/sdxl-lusterbinds:edaf74d63b196aa6bd3bf46d5d0dfffaf0ada64f88ebe5b5cd3615768a22c7bb", input={ "width": 1024, "height": 1024, "prompt": "lusterbinds_01 bold, male closeup, black lipstick non-binary, black background, hyper realistic decorated face, white eye lashes, looking at camera, smile, eye and lips jewelry, genetically modified beard", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": True, "high_noise_frac": 0.8, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 50 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run marlonbarrios/sdxl-lusterbinds 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": "marlonbarrios/sdxl-lusterbinds:edaf74d63b196aa6bd3bf46d5d0dfffaf0ada64f88ebe5b5cd3615768a22c7bb", "input": { "width": 1024, "height": 1024, "prompt": "lusterbinds_01 bold, male closeup, black lipstick non-binary, black background, hyper realistic decorated face, white eye lashes, looking at camera, smile, eye and lips jewelry, genetically modified beard", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-12-12T23:41:13.451723Z", "created_at": "2023-12-12T23:40:53.070057Z", "data_removed": false, "error": null, "id": "ki543g3bizajzy4uc3g2k5fxvu", "input": { "width": 1024, "height": 1024, "prompt": "lusterbinds_01 bold, male closeup, black lipstick non-binary, black background, hyper realistic decorated face, white eye lashes, looking at camera, smile, eye and lips jewelry, genetically modified beard", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 50 }, "logs": "Using seed: 34390\nEnsuring enough disk space...\nFree disk space: 1723108220928\nDownloading weights: https://replicate.delivery/pbxt/bh7sSUdk9oq1L95CwLfpYxChrBa9meOk2Qc270oW0uUU7PBSA/trained_model.tar\nb'Downloaded 186 MB bytes in 0.243s (767 MB/s)\\nExtracted 186 MB in 0.058s (3.2 GB/s)\\n'\nDownloaded weights in 0.40193939208984375 seconds\nLoading fine-tuned model\nDoes not have Unet. assume we are using LoRA\nLoading Unet LoRA\nPrompt: lusterbinds_01 bold, male closeup, black lipstick non-binary, black background, hyper realistic decorated face, white eye lashes, looking at camera, smile, eye and lips jewelry, genetically modified beard\ntxt2img mode\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:13, 3.69it/s]\n 4%|▍ | 2/50 [00:00<00:12, 3.69it/s]\n 6%|▌ | 3/50 [00:00<00:12, 3.69it/s]\n 8%|▊ | 4/50 [00:01<00:12, 3.69it/s]\n 10%|█ | 5/50 [00:01<00:12, 3.68it/s]\n 12%|█▏ | 6/50 [00:01<00:11, 3.68it/s]\n 14%|█▍ | 7/50 [00:01<00:11, 3.68it/s]\n 16%|█▌ | 8/50 [00:02<00:11, 3.68it/s]\n 18%|█▊ | 9/50 [00:02<00:11, 3.67it/s]\n 20%|██ | 10/50 [00:02<00:10, 3.67it/s]\n 22%|██▏ | 11/50 [00:02<00:10, 3.67it/s]\n 24%|██▍ | 12/50 [00:03<00:10, 3.67it/s]\n 26%|██▌ | 13/50 [00:03<00:10, 3.67it/s]\n 28%|██▊ | 14/50 [00:03<00:09, 3.67it/s]\n 30%|███ | 15/50 [00:04<00:09, 3.67it/s]\n 32%|███▏ | 16/50 [00:04<00:09, 3.67it/s]\n 34%|███▍ | 17/50 [00:04<00:08, 3.67it/s]\n 36%|███▌ | 18/50 [00:04<00:08, 3.67it/s]\n 38%|███▊ | 19/50 [00:05<00:08, 3.67it/s]\n 40%|████ | 20/50 [00:05<00:08, 3.67it/s]\n 42%|████▏ | 21/50 [00:05<00:07, 3.67it/s]\n 44%|████▍ | 22/50 [00:05<00:07, 3.67it/s]\n 46%|████▌ | 23/50 [00:06<00:07, 3.66it/s]\n 48%|████▊ | 24/50 [00:06<00:07, 3.66it/s]\n 50%|█████ | 25/50 [00:06<00:06, 3.67it/s]\n 52%|█████▏ | 26/50 [00:07<00:06, 3.66it/s]\n 54%|█████▍ | 27/50 [00:07<00:06, 3.66it/s]\n 56%|█████▌ | 28/50 [00:07<00:06, 3.66it/s]\n 58%|█████▊ | 29/50 [00:07<00:05, 3.66it/s]\n 60%|██████ | 30/50 [00:08<00:05, 3.66it/s]\n 62%|██████▏ | 31/50 [00:08<00:05, 3.66it/s]\n 64%|██████▍ | 32/50 [00:08<00:04, 3.66it/s]\n 66%|██████▌ | 33/50 [00:08<00:04, 3.66it/s]\n 68%|██████▊ | 34/50 [00:09<00:04, 3.66it/s]\n 70%|███████ | 35/50 [00:09<00:04, 3.66it/s]\n 72%|███████▏ | 36/50 [00:09<00:03, 3.66it/s]\n 74%|███████▍ | 37/50 [00:10<00:03, 3.66it/s]\n 76%|███████▌ | 38/50 [00:10<00:03, 3.66it/s]\n 78%|███████▊ | 39/50 [00:10<00:03, 3.66it/s]\n 80%|████████ | 40/50 [00:10<00:02, 3.66it/s]\n 82%|████████▏ | 41/50 [00:11<00:02, 3.66it/s]\n 84%|████████▍ | 42/50 [00:11<00:02, 3.66it/s]\n 86%|████████▌ | 43/50 [00:11<00:01, 3.66it/s]\n 88%|████████▊ | 44/50 [00:11<00:01, 3.66it/s]\n 90%|█████████ | 45/50 [00:12<00:01, 3.66it/s]\n 92%|█████████▏| 46/50 [00:12<00:01, 3.66it/s]\n 94%|█████████▍| 47/50 [00:12<00:00, 3.65it/s]\n 96%|█████████▌| 48/50 [00:13<00:00, 3.66it/s]\n 98%|█████████▊| 49/50 [00:13<00:00, 3.66it/s]\n100%|██████████| 50/50 [00:13<00:00, 3.66it/s]\n100%|██████████| 50/50 [00:13<00:00, 3.67it/s]", "metrics": { "predict_time": 16.440495, "total_time": 20.381666 }, "output": [ "https://replicate.delivery/pbxt/kfbiktfenCVtSo4a5VSbxAXGwpenetwy1j16DsQWSbUGzQNQC/out-0.png" ], "started_at": "2023-12-12T23:40:57.011228Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/ki543g3bizajzy4uc3g2k5fxvu", "cancel": "https://api.replicate.com/v1/predictions/ki543g3bizajzy4uc3g2k5fxvu/cancel" }, "version": "edaf74d63b196aa6bd3bf46d5d0dfffaf0ada64f88ebe5b5cd3615768a22c7bb" }Generated inUsing seed: 34390 Ensuring enough disk space... Free disk space: 1723108220928 Downloading weights: https://replicate.delivery/pbxt/bh7sSUdk9oq1L95CwLfpYxChrBa9meOk2Qc270oW0uUU7PBSA/trained_model.tar b'Downloaded 186 MB bytes in 0.243s (767 MB/s)\nExtracted 186 MB in 0.058s (3.2 GB/s)\n' Downloaded weights in 0.40193939208984375 seconds Loading fine-tuned model Does not have Unet. assume we are using LoRA Loading Unet LoRA Prompt: lusterbinds_01 bold, male closeup, black lipstick non-binary, black background, hyper realistic decorated face, white eye lashes, looking at camera, smile, eye and lips jewelry, genetically modified beard txt2img mode 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:13, 3.69it/s] 4%|▍ | 2/50 [00:00<00:12, 3.69it/s] 6%|▌ | 3/50 [00:00<00:12, 3.69it/s] 8%|▊ | 4/50 [00:01<00:12, 3.69it/s] 10%|█ | 5/50 [00:01<00:12, 3.68it/s] 12%|█▏ | 6/50 [00:01<00:11, 3.68it/s] 14%|█▍ | 7/50 [00:01<00:11, 3.68it/s] 16%|█▌ | 8/50 [00:02<00:11, 3.68it/s] 18%|█▊ | 9/50 [00:02<00:11, 3.67it/s] 20%|██ | 10/50 [00:02<00:10, 3.67it/s] 22%|██▏ | 11/50 [00:02<00:10, 3.67it/s] 24%|██▍ | 12/50 [00:03<00:10, 3.67it/s] 26%|██▌ | 13/50 [00:03<00:10, 3.67it/s] 28%|██▊ | 14/50 [00:03<00:09, 3.67it/s] 30%|███ | 15/50 [00:04<00:09, 3.67it/s] 32%|███▏ | 16/50 [00:04<00:09, 3.67it/s] 34%|███▍ | 17/50 [00:04<00:08, 3.67it/s] 36%|███▌ | 18/50 [00:04<00:08, 3.67it/s] 38%|███▊ | 19/50 [00:05<00:08, 3.67it/s] 40%|████ | 20/50 [00:05<00:08, 3.67it/s] 42%|████▏ | 21/50 [00:05<00:07, 3.67it/s] 44%|████▍ | 22/50 [00:05<00:07, 3.67it/s] 46%|████▌ | 23/50 [00:06<00:07, 3.66it/s] 48%|████▊ | 24/50 [00:06<00:07, 3.66it/s] 50%|█████ | 25/50 [00:06<00:06, 3.67it/s] 52%|█████▏ | 26/50 [00:07<00:06, 3.66it/s] 54%|█████▍ | 27/50 [00:07<00:06, 3.66it/s] 56%|█████▌ | 28/50 [00:07<00:06, 3.66it/s] 58%|█████▊ | 29/50 [00:07<00:05, 3.66it/s] 60%|██████ | 30/50 [00:08<00:05, 3.66it/s] 62%|██████▏ | 31/50 [00:08<00:05, 3.66it/s] 64%|██████▍ | 32/50 [00:08<00:04, 3.66it/s] 66%|██████▌ | 33/50 [00:08<00:04, 3.66it/s] 68%|██████▊ | 34/50 [00:09<00:04, 3.66it/s] 70%|███████ | 35/50 [00:09<00:04, 3.66it/s] 72%|███████▏ | 36/50 [00:09<00:03, 3.66it/s] 74%|███████▍ | 37/50 [00:10<00:03, 3.66it/s] 76%|███████▌ | 38/50 [00:10<00:03, 3.66it/s] 78%|███████▊ | 39/50 [00:10<00:03, 3.66it/s] 80%|████████ | 40/50 [00:10<00:02, 3.66it/s] 82%|████████▏ | 41/50 [00:11<00:02, 3.66it/s] 84%|████████▍ | 42/50 [00:11<00:02, 3.66it/s] 86%|████████▌ | 43/50 [00:11<00:01, 3.66it/s] 88%|████████▊ | 44/50 [00:11<00:01, 3.66it/s] 90%|█████████ | 45/50 [00:12<00:01, 3.66it/s] 92%|█████████▏| 46/50 [00:12<00:01, 3.66it/s] 94%|█████████▍| 47/50 [00:12<00:00, 3.65it/s] 96%|█████████▌| 48/50 [00:13<00:00, 3.66it/s] 98%|█████████▊| 49/50 [00:13<00:00, 3.66it/s] 100%|██████████| 50/50 [00:13<00:00, 3.66it/s] 100%|██████████| 50/50 [00:13<00:00, 3.67it/s]Prediction
marlonbarrios/sdxl-lusterbinds:edaf74d63b196aa6bd3bf46d5d0dfffaf0ada64f88ebe5b5cd3615768a22c7bbIDq6bogctbgbfyh5rttvlgrqpgwyStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- width
- 1024
- height
- 1024
- prompt
- two lusterbinds_01 male black lipstick non-binary kissing, realistic, black background hyper realistic
- refine
- no_refiner
- scheduler
- K_EULER
- lora_scale
- 0.6
- num_outputs
- 1
- guidance_scale
- 7.5
- apply_watermark
- high_noise_frac
- 0.8
- negative_prompt
- prompt_strength
- 0.8
- num_inference_steps
- 50
{ "width": 1024, "height": 1024, "prompt": "two lusterbinds_01 male black lipstick non-binary kissing, realistic, black background hyper realistic", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 50 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run marlonbarrios/sdxl-lusterbinds using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "marlonbarrios/sdxl-lusterbinds:edaf74d63b196aa6bd3bf46d5d0dfffaf0ada64f88ebe5b5cd3615768a22c7bb", { input: { width: 1024, height: 1024, prompt: "two lusterbinds_01 male black lipstick non-binary kissing, realistic, black background hyper realistic", refine: "no_refiner", scheduler: "K_EULER", lora_scale: 0.6, num_outputs: 1, guidance_scale: 7.5, apply_watermark: true, high_noise_frac: 0.8, negative_prompt: "", prompt_strength: 0.8, num_inference_steps: 50 } } ); // 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 marlonbarrios/sdxl-lusterbinds using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "marlonbarrios/sdxl-lusterbinds:edaf74d63b196aa6bd3bf46d5d0dfffaf0ada64f88ebe5b5cd3615768a22c7bb", input={ "width": 1024, "height": 1024, "prompt": "two lusterbinds_01 male black lipstick non-binary kissing, realistic, black background hyper realistic", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": True, "high_noise_frac": 0.8, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 50 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run marlonbarrios/sdxl-lusterbinds 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": "marlonbarrios/sdxl-lusterbinds:edaf74d63b196aa6bd3bf46d5d0dfffaf0ada64f88ebe5b5cd3615768a22c7bb", "input": { "width": 1024, "height": 1024, "prompt": "two lusterbinds_01 male black lipstick non-binary kissing, realistic, black background hyper realistic", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-12-11T18:26:43.215025Z", "created_at": "2023-12-11T18:26:19.088725Z", "data_removed": false, "error": null, "id": "q6bogctbgbfyh5rttvlgrqpgwy", "input": { "width": 1024, "height": 1024, "prompt": "two lusterbinds_01 male black lipstick non-binary kissing, realistic, black background hyper realistic", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 50 }, "logs": "Using seed: 52722\nEnsuring enough disk space...\nFree disk space: 1763128348672\nDownloading weights: https://replicate.delivery/pbxt/bh7sSUdk9oq1L95CwLfpYxChrBa9meOk2Qc270oW0uUU7PBSA/trained_model.tar\nb'Downloaded 186 MB bytes in 0.281s (661 MB/s)\\nExtracted 186 MB in 0.053s (3.5 GB/s)\\n'\nDownloaded weights in 0.4466421604156494 seconds\nLoading fine-tuned model\nDoes not have Unet. assume we are using LoRA\nLoading Unet LoRA\nPrompt: two lusterbinds_01 male black lipstick non-binary kissing, realistic, black background hyper realistic\ntxt2img mode\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:13, 3.66it/s]\n 4%|▍ | 2/50 [00:00<00:13, 3.66it/s]\n 6%|▌ | 3/50 [00:00<00:12, 3.66it/s]\n 8%|▊ | 4/50 [00:01<00:12, 3.66it/s]\n 10%|█ | 5/50 [00:01<00:12, 3.66it/s]\n 12%|█▏ | 6/50 [00:01<00:12, 3.66it/s]\n 14%|█▍ | 7/50 [00:01<00:11, 3.66it/s]\n 16%|█▌ | 8/50 [00:02<00:11, 3.66it/s]\n 18%|█▊ | 9/50 [00:02<00:11, 3.66it/s]\n 20%|██ | 10/50 [00:02<00:10, 3.66it/s]\n 22%|██▏ | 11/50 [00:03<00:10, 3.66it/s]\n 24%|██▍ | 12/50 [00:03<00:10, 3.66it/s]\n 26%|██▌ | 13/50 [00:03<00:10, 3.66it/s]\n 28%|██▊ | 14/50 [00:03<00:09, 3.66it/s]\n 30%|███ | 15/50 [00:04<00:09, 3.66it/s]\n 32%|███▏ | 16/50 [00:04<00:09, 3.66it/s]\n 34%|███▍ | 17/50 [00:04<00:09, 3.66it/s]\n 36%|███▌ | 18/50 [00:04<00:08, 3.66it/s]\n 38%|███▊ | 19/50 [00:05<00:08, 3.66it/s]\n 40%|████ | 20/50 [00:05<00:08, 3.66it/s]\n 42%|████▏ | 21/50 [00:05<00:07, 3.66it/s]\n 44%|████▍ | 22/50 [00:06<00:07, 3.66it/s]\n 46%|████▌ | 23/50 [00:06<00:07, 3.66it/s]\n 48%|████▊ | 24/50 [00:06<00:07, 3.66it/s]\n 50%|█████ | 25/50 [00:06<00:06, 3.66it/s]\n 52%|█████▏ | 26/50 [00:07<00:06, 3.66it/s]\n 54%|█████▍ | 27/50 [00:07<00:06, 3.66it/s]\n 56%|█████▌ | 28/50 [00:07<00:06, 3.65it/s]\n 58%|█████▊ | 29/50 [00:07<00:05, 3.66it/s]\n 60%|██████ | 30/50 [00:08<00:05, 3.66it/s]\n 62%|██████▏ | 31/50 [00:08<00:05, 3.66it/s]\n 64%|██████▍ | 32/50 [00:08<00:04, 3.66it/s]\n 66%|██████▌ | 33/50 [00:09<00:04, 3.66it/s]\n 68%|██████▊ | 34/50 [00:09<00:04, 3.66it/s]\n 70%|███████ | 35/50 [00:09<00:04, 3.65it/s]\n 72%|███████▏ | 36/50 [00:09<00:03, 3.65it/s]\n 74%|███████▍ | 37/50 [00:10<00:03, 3.65it/s]\n 76%|███████▌ | 38/50 [00:10<00:03, 3.65it/s]\n 78%|███████▊ | 39/50 [00:10<00:03, 3.65it/s]\n 80%|████████ | 40/50 [00:10<00:02, 3.65it/s]\n 82%|████████▏ | 41/50 [00:11<00:02, 3.65it/s]\n 84%|████████▍ | 42/50 [00:11<00:02, 3.65it/s]\n 86%|████████▌ | 43/50 [00:11<00:01, 3.65it/s]\n 88%|████████▊ | 44/50 [00:12<00:01, 3.64it/s]\n 90%|█████████ | 45/50 [00:12<00:01, 3.64it/s]\n 92%|█████████▏| 46/50 [00:12<00:01, 3.64it/s]\n 94%|█████████▍| 47/50 [00:12<00:00, 3.65it/s]\n 96%|█████████▌| 48/50 [00:13<00:00, 3.64it/s]\n 98%|█████████▊| 49/50 [00:13<00:00, 3.64it/s]\n100%|██████████| 50/50 [00:13<00:00, 3.65it/s]\n100%|██████████| 50/50 [00:13<00:00, 3.65it/s]", "metrics": { "predict_time": 16.837962, "total_time": 24.1263 }, "output": [ "https://replicate.delivery/pbxt/U8I2mAJlfXQqVCPzT9i9uk5CJWKfjB4zLSk6rzSYsKBiZQBSA/out-0.png" ], "started_at": "2023-12-11T18:26:26.377063Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/q6bogctbgbfyh5rttvlgrqpgwy", "cancel": "https://api.replicate.com/v1/predictions/q6bogctbgbfyh5rttvlgrqpgwy/cancel" }, "version": "edaf74d63b196aa6bd3bf46d5d0dfffaf0ada64f88ebe5b5cd3615768a22c7bb" }Generated inUsing seed: 52722 Ensuring enough disk space... Free disk space: 1763128348672 Downloading weights: https://replicate.delivery/pbxt/bh7sSUdk9oq1L95CwLfpYxChrBa9meOk2Qc270oW0uUU7PBSA/trained_model.tar b'Downloaded 186 MB bytes in 0.281s (661 MB/s)\nExtracted 186 MB in 0.053s (3.5 GB/s)\n' Downloaded weights in 0.4466421604156494 seconds Loading fine-tuned model Does not have Unet. assume we are using LoRA Loading Unet LoRA Prompt: two lusterbinds_01 male black lipstick non-binary kissing, realistic, black background hyper realistic txt2img mode 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:13, 3.66it/s] 4%|▍ | 2/50 [00:00<00:13, 3.66it/s] 6%|▌ | 3/50 [00:00<00:12, 3.66it/s] 8%|▊ | 4/50 [00:01<00:12, 3.66it/s] 10%|█ | 5/50 [00:01<00:12, 3.66it/s] 12%|█▏ | 6/50 [00:01<00:12, 3.66it/s] 14%|█▍ | 7/50 [00:01<00:11, 3.66it/s] 16%|█▌ | 8/50 [00:02<00:11, 3.66it/s] 18%|█▊ | 9/50 [00:02<00:11, 3.66it/s] 20%|██ | 10/50 [00:02<00:10, 3.66it/s] 22%|██▏ | 11/50 [00:03<00:10, 3.66it/s] 24%|██▍ | 12/50 [00:03<00:10, 3.66it/s] 26%|██▌ | 13/50 [00:03<00:10, 3.66it/s] 28%|██▊ | 14/50 [00:03<00:09, 3.66it/s] 30%|███ | 15/50 [00:04<00:09, 3.66it/s] 32%|███▏ | 16/50 [00:04<00:09, 3.66it/s] 34%|███▍ | 17/50 [00:04<00:09, 3.66it/s] 36%|███▌ | 18/50 [00:04<00:08, 3.66it/s] 38%|███▊ | 19/50 [00:05<00:08, 3.66it/s] 40%|████ | 20/50 [00:05<00:08, 3.66it/s] 42%|████▏ | 21/50 [00:05<00:07, 3.66it/s] 44%|████▍ | 22/50 [00:06<00:07, 3.66it/s] 46%|████▌ | 23/50 [00:06<00:07, 3.66it/s] 48%|████▊ | 24/50 [00:06<00:07, 3.66it/s] 50%|█████ | 25/50 [00:06<00:06, 3.66it/s] 52%|█████▏ | 26/50 [00:07<00:06, 3.66it/s] 54%|█████▍ | 27/50 [00:07<00:06, 3.66it/s] 56%|█████▌ | 28/50 [00:07<00:06, 3.65it/s] 58%|█████▊ | 29/50 [00:07<00:05, 3.66it/s] 60%|██████ | 30/50 [00:08<00:05, 3.66it/s] 62%|██████▏ | 31/50 [00:08<00:05, 3.66it/s] 64%|██████▍ | 32/50 [00:08<00:04, 3.66it/s] 66%|██████▌ | 33/50 [00:09<00:04, 3.66it/s] 68%|██████▊ | 34/50 [00:09<00:04, 3.66it/s] 70%|███████ | 35/50 [00:09<00:04, 3.65it/s] 72%|███████▏ | 36/50 [00:09<00:03, 3.65it/s] 74%|███████▍ | 37/50 [00:10<00:03, 3.65it/s] 76%|███████▌ | 38/50 [00:10<00:03, 3.65it/s] 78%|███████▊ | 39/50 [00:10<00:03, 3.65it/s] 80%|████████ | 40/50 [00:10<00:02, 3.65it/s] 82%|████████▏ | 41/50 [00:11<00:02, 3.65it/s] 84%|████████▍ | 42/50 [00:11<00:02, 3.65it/s] 86%|████████▌ | 43/50 [00:11<00:01, 3.65it/s] 88%|████████▊ | 44/50 [00:12<00:01, 3.64it/s] 90%|█████████ | 45/50 [00:12<00:01, 3.64it/s] 92%|█████████▏| 46/50 [00:12<00:01, 3.64it/s] 94%|█████████▍| 47/50 [00:12<00:00, 3.65it/s] 96%|█████████▌| 48/50 [00:13<00:00, 3.64it/s] 98%|█████████▊| 49/50 [00:13<00:00, 3.64it/s] 100%|██████████| 50/50 [00:13<00:00, 3.65it/s] 100%|██████████| 50/50 [00:13<00:00, 3.65it/s]Prediction
marlonbarrios/sdxl-lusterbinds:edaf74d63b196aa6bd3bf46d5d0dfffaf0ada64f88ebe5b5cd3615768a22c7bbIDpxd4xctbquszkr3hhomdrjpnouStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- width
- 1024
- height
- 1024
- prompt
- two lusterbinds_01 male black lipstick non-binary
- refine
- no_refiner
- scheduler
- K_EULER
- lora_scale
- 0.6
- num_outputs
- 1
- guidance_scale
- 7.5
- apply_watermark
- high_noise_frac
- 0.8
- negative_prompt
- prompt_strength
- 0.8
- num_inference_steps
- 50
{ "width": 1024, "height": 1024, "prompt": " two lusterbinds_01 male black lipstick non-binary", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 50 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run marlonbarrios/sdxl-lusterbinds using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "marlonbarrios/sdxl-lusterbinds:edaf74d63b196aa6bd3bf46d5d0dfffaf0ada64f88ebe5b5cd3615768a22c7bb", { input: { width: 1024, height: 1024, prompt: " two lusterbinds_01 male black lipstick non-binary", refine: "no_refiner", scheduler: "K_EULER", lora_scale: 0.6, num_outputs: 1, guidance_scale: 7.5, apply_watermark: true, high_noise_frac: 0.8, negative_prompt: "", prompt_strength: 0.8, num_inference_steps: 50 } } ); // 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 marlonbarrios/sdxl-lusterbinds using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "marlonbarrios/sdxl-lusterbinds:edaf74d63b196aa6bd3bf46d5d0dfffaf0ada64f88ebe5b5cd3615768a22c7bb", input={ "width": 1024, "height": 1024, "prompt": " two lusterbinds_01 male black lipstick non-binary", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": True, "high_noise_frac": 0.8, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 50 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run marlonbarrios/sdxl-lusterbinds 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": "marlonbarrios/sdxl-lusterbinds:edaf74d63b196aa6bd3bf46d5d0dfffaf0ada64f88ebe5b5cd3615768a22c7bb", "input": { "width": 1024, "height": 1024, "prompt": " two lusterbinds_01 male black lipstick non-binary", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-12-11T20:25:48.535667Z", "created_at": "2023-12-11T20:25:29.836966Z", "data_removed": false, "error": null, "id": "pxd4xctbquszkr3hhomdrjpnou", "input": { "width": 1024, "height": 1024, "prompt": " two lusterbinds_01 male black lipstick non-binary", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 50 }, "logs": "Using seed: 39530\nskipping loading .. weights already loaded\nPrompt: two lusterbinds_01 male black lipstick non-binary\ntxt2img mode\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:13, 3.65it/s]\n 4%|▍ | 2/50 [00:00<00:13, 3.64it/s]\n 6%|▌ | 3/50 [00:00<00:12, 3.64it/s]\n 8%|▊ | 4/50 [00:01<00:12, 3.63it/s]\n 10%|█ | 5/50 [00:01<00:12, 3.62it/s]\n 12%|█▏ | 6/50 [00:01<00:12, 3.62it/s]\n 14%|█▍ | 7/50 [00:01<00:11, 3.62it/s]\n 16%|█▌ | 8/50 [00:02<00:11, 3.62it/s]\n 18%|█▊ | 9/50 [00:02<00:11, 3.62it/s]\n 20%|██ | 10/50 [00:02<00:11, 3.62it/s]\n 22%|██▏ | 11/50 [00:03<00:10, 3.62it/s]\n 24%|██▍ | 12/50 [00:03<00:10, 3.61it/s]\n 26%|██▌ | 13/50 [00:03<00:10, 3.61it/s]\n 28%|██▊ | 14/50 [00:03<00:09, 3.61it/s]\n 30%|███ | 15/50 [00:04<00:09, 3.61it/s]\n 32%|███▏ | 16/50 [00:04<00:09, 3.61it/s]\n 34%|███▍ | 17/50 [00:04<00:09, 3.61it/s]\n 36%|███▌ | 18/50 [00:04<00:08, 3.61it/s]\n 38%|███▊ | 19/50 [00:05<00:08, 3.61it/s]\n 40%|████ | 20/50 [00:05<00:08, 3.61it/s]\n 42%|████▏ | 21/50 [00:05<00:08, 3.61it/s]\n 44%|████▍ | 22/50 [00:06<00:07, 3.61it/s]\n 46%|████▌ | 23/50 [00:06<00:07, 3.61it/s]\n 48%|████▊ | 24/50 [00:06<00:07, 3.61it/s]\n 50%|█████ | 25/50 [00:06<00:06, 3.61it/s]\n 52%|█████▏ | 26/50 [00:07<00:06, 3.61it/s]\n 54%|█████▍ | 27/50 [00:07<00:06, 3.61it/s]\n 56%|█████▌ | 28/50 [00:07<00:06, 3.61it/s]\n 58%|█████▊ | 29/50 [00:08<00:05, 3.61it/s]\n 60%|██████ | 30/50 [00:08<00:05, 3.61it/s]\n 62%|██████▏ | 31/50 [00:08<00:05, 3.61it/s]\n 64%|██████▍ | 32/50 [00:08<00:04, 3.61it/s]\n 66%|██████▌ | 33/50 [00:09<00:04, 3.61it/s]\n 68%|██████▊ | 34/50 [00:09<00:04, 3.61it/s]\n 70%|███████ | 35/50 [00:09<00:04, 3.61it/s]\n 72%|███████▏ | 36/50 [00:09<00:03, 3.61it/s]\n 74%|███████▍ | 37/50 [00:10<00:03, 3.61it/s]\n 76%|███████▌ | 38/50 [00:10<00:03, 3.61it/s]\n 78%|███████▊ | 39/50 [00:10<00:03, 3.61it/s]\n 80%|████████ | 40/50 [00:11<00:02, 3.61it/s]\n 82%|████████▏ | 41/50 [00:11<00:02, 3.61it/s]\n 84%|████████▍ | 42/50 [00:11<00:02, 3.61it/s]\n 86%|████████▌ | 43/50 [00:11<00:01, 3.61it/s]\n 88%|████████▊ | 44/50 [00:12<00:01, 3.61it/s]\n 90%|█████████ | 45/50 [00:12<00:01, 3.61it/s]\n 92%|█████████▏| 46/50 [00:12<00:01, 3.61it/s]\n 94%|█████████▍| 47/50 [00:13<00:00, 3.61it/s]\n 96%|█████████▌| 48/50 [00:13<00:00, 3.61it/s]\n 98%|█████████▊| 49/50 [00:13<00:00, 3.61it/s]\n100%|██████████| 50/50 [00:13<00:00, 3.61it/s]\n100%|██████████| 50/50 [00:13<00:00, 3.61it/s]", "metrics": { "predict_time": 15.270452, "total_time": 18.698701 }, "output": [ "https://replicate.delivery/pbxt/7CXTS3ueZhWhV64DgTPf25HtSOdZz46kMlByfBlVYRnZSkCkA/out-0.png" ], "started_at": "2023-12-11T20:25:33.265215Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/pxd4xctbquszkr3hhomdrjpnou", "cancel": "https://api.replicate.com/v1/predictions/pxd4xctbquszkr3hhomdrjpnou/cancel" }, "version": "edaf74d63b196aa6bd3bf46d5d0dfffaf0ada64f88ebe5b5cd3615768a22c7bb" }Generated inUsing seed: 39530 skipping loading .. weights already loaded Prompt: two lusterbinds_01 male black lipstick non-binary txt2img mode 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:13, 3.65it/s] 4%|▍ | 2/50 [00:00<00:13, 3.64it/s] 6%|▌ | 3/50 [00:00<00:12, 3.64it/s] 8%|▊ | 4/50 [00:01<00:12, 3.63it/s] 10%|█ | 5/50 [00:01<00:12, 3.62it/s] 12%|█▏ | 6/50 [00:01<00:12, 3.62it/s] 14%|█▍ | 7/50 [00:01<00:11, 3.62it/s] 16%|█▌ | 8/50 [00:02<00:11, 3.62it/s] 18%|█▊ | 9/50 [00:02<00:11, 3.62it/s] 20%|██ | 10/50 [00:02<00:11, 3.62it/s] 22%|██▏ | 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70%|███████ | 35/50 [00:09<00:04, 3.61it/s] 72%|███████▏ | 36/50 [00:09<00:03, 3.61it/s] 74%|███████▍ | 37/50 [00:10<00:03, 3.61it/s] 76%|███████▌ | 38/50 [00:10<00:03, 3.61it/s] 78%|███████▊ | 39/50 [00:10<00:03, 3.61it/s] 80%|████████ | 40/50 [00:11<00:02, 3.61it/s] 82%|████████▏ | 41/50 [00:11<00:02, 3.61it/s] 84%|████████▍ | 42/50 [00:11<00:02, 3.61it/s] 86%|████████▌ | 43/50 [00:11<00:01, 3.61it/s] 88%|████████▊ | 44/50 [00:12<00:01, 3.61it/s] 90%|█████████ | 45/50 [00:12<00:01, 3.61it/s] 92%|█████████▏| 46/50 [00:12<00:01, 3.61it/s] 94%|█████████▍| 47/50 [00:13<00:00, 3.61it/s] 96%|█████████▌| 48/50 [00:13<00:00, 3.61it/s] 98%|█████████▊| 49/50 [00:13<00:00, 3.61it/s] 100%|██████████| 50/50 [00:13<00:00, 3.61it/s] 100%|██████████| 50/50 [00:13<00:00, 3.61it/s]Prediction
marlonbarrios/sdxl-lusterbinds:edaf74d63b196aa6bd3bf46d5d0dfffaf0ada64f88ebe5b5cd3615768a22c7bbIDsedichlbi22arqn4udrffltvaaStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- width
- 1024
- height
- 1024
- prompt
- two lusterbinds_01 males bold black lipstick non-binary kissing, realistic, black background hyper realistic decorated bodies
- refine
- no_refiner
- scheduler
- K_EULER
- lora_scale
- 0.6
- num_outputs
- 1
- guidance_scale
- 7.5
- apply_watermark
- high_noise_frac
- 0.8
- negative_prompt
- prompt_strength
- 0.8
- num_inference_steps
- 50
{ "width": 1024, "height": 1024, "prompt": "two lusterbinds_01 males bold black lipstick non-binary kissing, realistic, black background hyper realistic decorated bodies", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 50 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run marlonbarrios/sdxl-lusterbinds using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "marlonbarrios/sdxl-lusterbinds:edaf74d63b196aa6bd3bf46d5d0dfffaf0ada64f88ebe5b5cd3615768a22c7bb", { input: { width: 1024, height: 1024, prompt: "two lusterbinds_01 males bold black lipstick non-binary kissing, realistic, black background hyper realistic decorated bodies", refine: "no_refiner", scheduler: "K_EULER", lora_scale: 0.6, num_outputs: 1, guidance_scale: 7.5, apply_watermark: true, high_noise_frac: 0.8, negative_prompt: "", prompt_strength: 0.8, num_inference_steps: 50 } } ); // 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 marlonbarrios/sdxl-lusterbinds using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "marlonbarrios/sdxl-lusterbinds:edaf74d63b196aa6bd3bf46d5d0dfffaf0ada64f88ebe5b5cd3615768a22c7bb", input={ "width": 1024, "height": 1024, "prompt": "two lusterbinds_01 males bold black lipstick non-binary kissing, realistic, black background hyper realistic decorated bodies", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": True, "high_noise_frac": 0.8, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 50 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run marlonbarrios/sdxl-lusterbinds 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": "marlonbarrios/sdxl-lusterbinds:edaf74d63b196aa6bd3bf46d5d0dfffaf0ada64f88ebe5b5cd3615768a22c7bb", "input": { "width": 1024, "height": 1024, "prompt": "two lusterbinds_01 males bold black lipstick non-binary kissing, realistic, black background hyper realistic decorated bodies", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-12-11T18:27:37.316652Z", "created_at": "2023-12-11T18:27:16.942333Z", "data_removed": false, "error": null, "id": "sedichlbi22arqn4udrffltvaa", "input": { "width": 1024, "height": 1024, "prompt": "two lusterbinds_01 males bold black lipstick non-binary kissing, realistic, black background hyper realistic decorated bodies", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 50 }, "logs": "Using seed: 61494\nLoading fine-tuned model\nDoes not have Unet. assume we are using LoRA\nLoading Unet LoRA\nPrompt: two lusterbinds_01 males bold black lipstick non-binary kissing, realistic, black background hyper realistic decorated bodies\ntxt2img mode\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:13, 3.64it/s]\n 4%|▍ | 2/50 [00:00<00:13, 3.63it/s]\n 6%|▌ | 3/50 [00:00<00:12, 3.63it/s]\n 8%|▊ | 4/50 [00:01<00:12, 3.62it/s]\n 10%|█ | 5/50 [00:01<00:12, 3.62it/s]\n 12%|█▏ | 6/50 [00:01<00:12, 3.61it/s]\n 14%|█▍ | 7/50 [00:01<00:11, 3.61it/s]\n 16%|█▌ | 8/50 [00:02<00:11, 3.61it/s]\n 18%|█▊ | 9/50 [00:02<00:11, 3.61it/s]\n 20%|██ | 10/50 [00:02<00:11, 3.61it/s]\n 22%|██▏ | 11/50 [00:03<00:10, 3.61it/s]\n 24%|██▍ | 12/50 [00:03<00:10, 3.61it/s]\n 26%|██▌ | 13/50 [00:03<00:10, 3.61it/s]\n 28%|██▊ | 14/50 [00:03<00:09, 3.61it/s]\n 30%|███ | 15/50 [00:04<00:09, 3.61it/s]\n 32%|███▏ | 16/50 [00:04<00:09, 3.61it/s]\n 34%|███▍ | 17/50 [00:04<00:09, 3.61it/s]\n 36%|███▌ | 18/50 [00:04<00:08, 3.61it/s]\n 38%|███▊ | 19/50 [00:05<00:08, 3.61it/s]\n 40%|████ | 20/50 [00:05<00:08, 3.61it/s]\n 42%|████▏ | 21/50 [00:05<00:08, 3.61it/s]\n 44%|████▍ | 22/50 [00:06<00:07, 3.61it/s]\n 46%|████▌ | 23/50 [00:06<00:07, 3.61it/s]\n 48%|████▊ | 24/50 [00:06<00:07, 3.60it/s]\n 50%|█████ | 25/50 [00:06<00:06, 3.60it/s]\n 52%|█████▏ | 26/50 [00:07<00:06, 3.60it/s]\n 54%|█████▍ | 27/50 [00:07<00:06, 3.60it/s]\n 56%|█████▌ | 28/50 [00:07<00:06, 3.60it/s]\n 58%|█████▊ | 29/50 [00:08<00:05, 3.60it/s]\n 60%|██████ | 30/50 [00:08<00:05, 3.60it/s]\n 62%|██████▏ | 31/50 [00:08<00:05, 3.60it/s]\n 64%|██████▍ | 32/50 [00:08<00:04, 3.60it/s]\n 66%|██████▌ | 33/50 [00:09<00:04, 3.60it/s]\n 68%|██████▊ | 34/50 [00:09<00:04, 3.60it/s]\n 70%|███████ | 35/50 [00:09<00:04, 3.61it/s]\n 72%|███████▏ | 36/50 [00:09<00:03, 3.61it/s]\n 74%|███████▍ | 37/50 [00:10<00:03, 3.61it/s]\n 76%|███████▌ | 38/50 [00:10<00:03, 3.60it/s]\n 78%|███████▊ | 39/50 [00:10<00:03, 3.60it/s]\n 80%|████████ | 40/50 [00:11<00:02, 3.60it/s]\n 82%|████████▏ | 41/50 [00:11<00:02, 3.60it/s]\n 84%|████████▍ | 42/50 [00:11<00:02, 3.60it/s]\n 86%|████████▌ | 43/50 [00:11<00:01, 3.60it/s]\n 88%|████████▊ | 44/50 [00:12<00:01, 3.60it/s]\n 90%|█████████ | 45/50 [00:12<00:01, 3.60it/s]\n 92%|█████████▏| 46/50 [00:12<00:01, 3.60it/s]\n 94%|█████████▍| 47/50 [00:13<00:00, 3.59it/s]\n 96%|█████████▌| 48/50 [00:13<00:00, 3.60it/s]\n 98%|█████████▊| 49/50 [00:13<00:00, 3.60it/s]\n100%|██████████| 50/50 [00:13<00:00, 3.60it/s]\n100%|██████████| 50/50 [00:13<00:00, 3.61it/s]", "metrics": { "predict_time": 16.987117, "total_time": 20.374319 }, "output": [ "https://replicate.delivery/pbxt/eA4LomjJFVWGIKpluSHr4sgi0Xcma2DThl5zToVZtLCMNoAJA/out-0.png" ], "started_at": "2023-12-11T18:27:20.329535Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/sedichlbi22arqn4udrffltvaa", "cancel": "https://api.replicate.com/v1/predictions/sedichlbi22arqn4udrffltvaa/cancel" }, "version": "edaf74d63b196aa6bd3bf46d5d0dfffaf0ada64f88ebe5b5cd3615768a22c7bb" }Generated inUsing seed: 61494 Loading fine-tuned model Does not have Unet. assume we are using LoRA Loading Unet LoRA Prompt: two lusterbinds_01 males bold black lipstick non-binary kissing, realistic, black background hyper realistic decorated bodies txt2img mode 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:13, 3.64it/s] 4%|▍ | 2/50 [00:00<00:13, 3.63it/s] 6%|▌ | 3/50 [00:00<00:12, 3.63it/s] 8%|▊ | 4/50 [00:01<00:12, 3.62it/s] 10%|█ | 5/50 [00:01<00:12, 3.62it/s] 12%|█▏ | 6/50 [00:01<00:12, 3.61it/s] 14%|█▍ | 7/50 [00:01<00:11, 3.61it/s] 16%|█▌ | 8/50 [00:02<00:11, 3.61it/s] 18%|█▊ | 9/50 [00:02<00:11, 3.61it/s] 20%|██ | 10/50 [00:02<00:11, 3.61it/s] 22%|██▏ | 11/50 [00:03<00:10, 3.61it/s] 24%|██▍ | 12/50 [00:03<00:10, 3.61it/s] 26%|██▌ | 13/50 [00:03<00:10, 3.61it/s] 28%|██▊ | 14/50 [00:03<00:09, 3.61it/s] 30%|███ | 15/50 [00:04<00:09, 3.61it/s] 32%|███▏ | 16/50 [00:04<00:09, 3.61it/s] 34%|███▍ | 17/50 [00:04<00:09, 3.61it/s] 36%|███▌ | 18/50 [00:04<00:08, 3.61it/s] 38%|███▊ | 19/50 [00:05<00:08, 3.61it/s] 40%|████ | 20/50 [00:05<00:08, 3.61it/s] 42%|████▏ | 21/50 [00:05<00:08, 3.61it/s] 44%|████▍ | 22/50 [00:06<00:07, 3.61it/s] 46%|████▌ | 23/50 [00:06<00:07, 3.61it/s] 48%|████▊ | 24/50 [00:06<00:07, 3.60it/s] 50%|█████ | 25/50 [00:06<00:06, 3.60it/s] 52%|█████▏ | 26/50 [00:07<00:06, 3.60it/s] 54%|█████▍ | 27/50 [00:07<00:06, 3.60it/s] 56%|█████▌ | 28/50 [00:07<00:06, 3.60it/s] 58%|█████▊ | 29/50 [00:08<00:05, 3.60it/s] 60%|██████ | 30/50 [00:08<00:05, 3.60it/s] 62%|██████▏ | 31/50 [00:08<00:05, 3.60it/s] 64%|██████▍ | 32/50 [00:08<00:04, 3.60it/s] 66%|██████▌ | 33/50 [00:09<00:04, 3.60it/s] 68%|██████▊ | 34/50 [00:09<00:04, 3.60it/s] 70%|███████ | 35/50 [00:09<00:04, 3.61it/s] 72%|███████▏ | 36/50 [00:09<00:03, 3.61it/s] 74%|███████▍ | 37/50 [00:10<00:03, 3.61it/s] 76%|███████▌ | 38/50 [00:10<00:03, 3.60it/s] 78%|███████▊ | 39/50 [00:10<00:03, 3.60it/s] 80%|████████ | 40/50 [00:11<00:02, 3.60it/s] 82%|████████▏ | 41/50 [00:11<00:02, 3.60it/s] 84%|████████▍ | 42/50 [00:11<00:02, 3.60it/s] 86%|████████▌ | 43/50 [00:11<00:01, 3.60it/s] 88%|████████▊ | 44/50 [00:12<00:01, 3.60it/s] 90%|█████████ | 45/50 [00:12<00:01, 3.60it/s] 92%|█████████▏| 46/50 [00:12<00:01, 3.60it/s] 94%|█████████▍| 47/50 [00:13<00:00, 3.59it/s] 96%|█████████▌| 48/50 [00:13<00:00, 3.60it/s] 98%|█████████▊| 49/50 [00:13<00:00, 3.60it/s] 100%|██████████| 50/50 [00:13<00:00, 3.60it/s] 100%|██████████| 50/50 [00:13<00:00, 3.61it/s]Prediction
marlonbarrios/sdxl-lusterbinds:edaf74d63b196aa6bd3bf46d5d0dfffaf0ada64f88ebe5b5cd3615768a22c7bbIDejhv45lb4y4sr7m4gpy56add4eStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- width
- 1024
- height
- 1024
- prompt
- two lusterbinds_01 male black lipstick non-binary
- refine
- no_refiner
- scheduler
- K_EULER
- lora_scale
- 0.6
- num_outputs
- 1
- guidance_scale
- 7.5
- apply_watermark
- high_noise_frac
- 0.8
- negative_prompt
- prompt_strength
- 0.8
- num_inference_steps
- 50
{ "width": 1024, "height": 1024, "prompt": " two lusterbinds_01 male black lipstick non-binary", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 50 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run marlonbarrios/sdxl-lusterbinds using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "marlonbarrios/sdxl-lusterbinds:edaf74d63b196aa6bd3bf46d5d0dfffaf0ada64f88ebe5b5cd3615768a22c7bb", { input: { width: 1024, height: 1024, prompt: " two lusterbinds_01 male black lipstick non-binary", refine: "no_refiner", scheduler: "K_EULER", lora_scale: 0.6, num_outputs: 1, guidance_scale: 7.5, apply_watermark: true, high_noise_frac: 0.8, negative_prompt: "", prompt_strength: 0.8, num_inference_steps: 50 } } ); // 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 marlonbarrios/sdxl-lusterbinds using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "marlonbarrios/sdxl-lusterbinds:edaf74d63b196aa6bd3bf46d5d0dfffaf0ada64f88ebe5b5cd3615768a22c7bb", input={ "width": 1024, "height": 1024, "prompt": " two lusterbinds_01 male black lipstick non-binary", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": True, "high_noise_frac": 0.8, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 50 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run marlonbarrios/sdxl-lusterbinds 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": "marlonbarrios/sdxl-lusterbinds:edaf74d63b196aa6bd3bf46d5d0dfffaf0ada64f88ebe5b5cd3615768a22c7bb", "input": { "width": 1024, "height": 1024, "prompt": " two lusterbinds_01 male black lipstick non-binary", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-12-11T20:26:52.504844Z", "created_at": "2023-12-11T20:26:10.348579Z", "data_removed": false, "error": null, "id": "ejhv45lb4y4sr7m4gpy56add4e", "input": { "width": 1024, "height": 1024, "prompt": " two lusterbinds_01 male black lipstick non-binary", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 50 }, "logs": "Using seed: 14365\nLoading fine-tuned model\nDoes not have Unet. assume we are using LoRA\nLoading Unet LoRA\nPrompt: two lusterbinds_01 male black lipstick non-binary\ntxt2img mode\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:13, 3.69it/s]\n 4%|▍ | 2/50 [00:00<00:13, 3.68it/s]\n 6%|▌ | 3/50 [00:00<00:12, 3.68it/s]\n 8%|▊ | 4/50 [00:01<00:12, 3.67it/s]\n 10%|█ | 5/50 [00:01<00:12, 3.67it/s]\n 12%|█▏ | 6/50 [00:01<00:11, 3.67it/s]\n 14%|█▍ | 7/50 [00:01<00:11, 3.66it/s]\n 16%|█▌ | 8/50 [00:02<00:11, 3.66it/s]\n 18%|█▊ | 9/50 [00:02<00:11, 3.66it/s]\n 20%|██ | 10/50 [00:02<00:10, 3.66it/s]\n 22%|██▏ | 11/50 [00:03<00:10, 3.65it/s]\n 24%|██▍ | 12/50 [00:03<00:10, 3.65it/s]\n 26%|██▌ | 13/50 [00:03<00:10, 3.65it/s]\n 28%|██▊ | 14/50 [00:03<00:09, 3.65it/s]\n 30%|███ | 15/50 [00:04<00:09, 3.65it/s]\n 32%|███▏ | 16/50 [00:04<00:09, 3.65it/s]\n 34%|███▍ | 17/50 [00:04<00:09, 3.65it/s]\n 36%|███▌ | 18/50 [00:04<00:08, 3.65it/s]\n 38%|███▊ | 19/50 [00:05<00:08, 3.65it/s]\n 40%|████ | 20/50 [00:05<00:08, 3.65it/s]\n 42%|████▏ | 21/50 [00:05<00:07, 3.65it/s]\n 44%|████▍ | 22/50 [00:06<00:07, 3.65it/s]\n 46%|████▌ | 23/50 [00:06<00:07, 3.64it/s]\n 48%|████▊ | 24/50 [00:06<00:07, 3.65it/s]\n 50%|█████ | 25/50 [00:06<00:06, 3.64it/s]\n 52%|█████▏ | 26/50 [00:07<00:06, 3.65it/s]\n 54%|█████▍ | 27/50 [00:07<00:06, 3.65it/s]\n 56%|█████▌ | 28/50 [00:07<00:06, 3.65it/s]\n 58%|█████▊ | 29/50 [00:07<00:05, 3.65it/s]\n 60%|██████ | 30/50 [00:08<00:05, 3.65it/s]\n 62%|██████▏ | 31/50 [00:08<00:05, 3.64it/s]\n 64%|██████▍ | 32/50 [00:08<00:04, 3.64it/s]\n 66%|██████▌ | 33/50 [00:09<00:04, 3.64it/s]\n 68%|██████▊ | 34/50 [00:09<00:04, 3.64it/s]\n 70%|███████ | 35/50 [00:09<00:04, 3.65it/s]\n 72%|███████▏ | 36/50 [00:09<00:03, 3.64it/s]\n 74%|███████▍ | 37/50 [00:10<00:03, 3.64it/s]\n 76%|███████▌ | 38/50 [00:10<00:03, 3.64it/s]\n 78%|███████▊ | 39/50 [00:10<00:03, 3.64it/s]\n 80%|████████ | 40/50 [00:10<00:02, 3.64it/s]\n 82%|████████▏ | 41/50 [00:11<00:02, 3.64it/s]\n 84%|████████▍ | 42/50 [00:11<00:02, 3.64it/s]\n 86%|████████▌ | 43/50 [00:11<00:01, 3.64it/s]\n 88%|████████▊ | 44/50 [00:12<00:01, 3.64it/s]\n 90%|█████████ | 45/50 [00:12<00:01, 3.64it/s]\n 92%|█████████▏| 46/50 [00:12<00:01, 3.64it/s]\n 94%|█████████▍| 47/50 [00:12<00:00, 3.64it/s]\n 96%|█████████▌| 48/50 [00:13<00:00, 3.64it/s]\n 98%|█████████▊| 49/50 [00:13<00:00, 3.64it/s]\n100%|██████████| 50/50 [00:13<00:00, 3.64it/s]\n100%|██████████| 50/50 [00:13<00:00, 3.65it/s]", "metrics": { "predict_time": 15.894877, "total_time": 42.156265 }, "output": [ "https://replicate.delivery/pbxt/HVeF2OqwWkQjESvfBDua4AnlyWeVWevSfBnPw2je2aWJjiUgE/out-0.png" ], "started_at": "2023-12-11T20:26:36.609967Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/ejhv45lb4y4sr7m4gpy56add4e", "cancel": "https://api.replicate.com/v1/predictions/ejhv45lb4y4sr7m4gpy56add4e/cancel" }, "version": "edaf74d63b196aa6bd3bf46d5d0dfffaf0ada64f88ebe5b5cd3615768a22c7bb" }Generated inUsing seed: 14365 Loading fine-tuned model Does not have Unet. assume we are using LoRA Loading Unet LoRA Prompt: two lusterbinds_01 male black lipstick non-binary txt2img mode 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:13, 3.69it/s] 4%|▍ | 2/50 [00:00<00:13, 3.68it/s] 6%|▌ | 3/50 [00:00<00:12, 3.68it/s] 8%|▊ | 4/50 [00:01<00:12, 3.67it/s] 10%|█ | 5/50 [00:01<00:12, 3.67it/s] 12%|█▏ | 6/50 [00:01<00:11, 3.67it/s] 14%|█▍ | 7/50 [00:01<00:11, 3.66it/s] 16%|█▌ | 8/50 [00:02<00:11, 3.66it/s] 18%|█▊ | 9/50 [00:02<00:11, 3.66it/s] 20%|██ | 10/50 [00:02<00:10, 3.66it/s] 22%|██▏ | 11/50 [00:03<00:10, 3.65it/s] 24%|██▍ | 12/50 [00:03<00:10, 3.65it/s] 26%|██▌ | 13/50 [00:03<00:10, 3.65it/s] 28%|██▊ | 14/50 [00:03<00:09, 3.65it/s] 30%|███ | 15/50 [00:04<00:09, 3.65it/s] 32%|███▏ | 16/50 [00:04<00:09, 3.65it/s] 34%|███▍ | 17/50 [00:04<00:09, 3.65it/s] 36%|███▌ | 18/50 [00:04<00:08, 3.65it/s] 38%|███▊ | 19/50 [00:05<00:08, 3.65it/s] 40%|████ | 20/50 [00:05<00:08, 3.65it/s] 42%|████▏ | 21/50 [00:05<00:07, 3.65it/s] 44%|████▍ | 22/50 [00:06<00:07, 3.65it/s] 46%|████▌ | 23/50 [00:06<00:07, 3.64it/s] 48%|████▊ | 24/50 [00:06<00:07, 3.65it/s] 50%|█████ | 25/50 [00:06<00:06, 3.64it/s] 52%|█████▏ | 26/50 [00:07<00:06, 3.65it/s] 54%|█████▍ | 27/50 [00:07<00:06, 3.65it/s] 56%|█████▌ | 28/50 [00:07<00:06, 3.65it/s] 58%|█████▊ | 29/50 [00:07<00:05, 3.65it/s] 60%|██████ | 30/50 [00:08<00:05, 3.65it/s] 62%|██████▏ | 31/50 [00:08<00:05, 3.64it/s] 64%|██████▍ | 32/50 [00:08<00:04, 3.64it/s] 66%|██████▌ | 33/50 [00:09<00:04, 3.64it/s] 68%|██████▊ | 34/50 [00:09<00:04, 3.64it/s] 70%|███████ | 35/50 [00:09<00:04, 3.65it/s] 72%|███████▏ | 36/50 [00:09<00:03, 3.64it/s] 74%|███████▍ | 37/50 [00:10<00:03, 3.64it/s] 76%|███████▌ | 38/50 [00:10<00:03, 3.64it/s] 78%|███████▊ | 39/50 [00:10<00:03, 3.64it/s] 80%|████████ | 40/50 [00:10<00:02, 3.64it/s] 82%|████████▏ | 41/50 [00:11<00:02, 3.64it/s] 84%|████████▍ | 42/50 [00:11<00:02, 3.64it/s] 86%|████████▌ | 43/50 [00:11<00:01, 3.64it/s] 88%|████████▊ | 44/50 [00:12<00:01, 3.64it/s] 90%|█████████ | 45/50 [00:12<00:01, 3.64it/s] 92%|█████████▏| 46/50 [00:12<00:01, 3.64it/s] 94%|█████████▍| 47/50 [00:12<00:00, 3.64it/s] 96%|█████████▌| 48/50 [00:13<00:00, 3.64it/s] 98%|█████████▊| 49/50 [00:13<00:00, 3.64it/s] 100%|██████████| 50/50 [00:13<00:00, 3.64it/s] 100%|██████████| 50/50 [00:13<00:00, 3.65it/s]Prediction
marlonbarrios/sdxl-lusterbinds:edaf74d63b196aa6bd3bf46d5d0dfffaf0ada64f88ebe5b5cd3615768a22c7bbIDb6xsqd3bd34tlvzekrzvs7347mStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- width
- 1024
- height
- 1024
- prompt
- two lusterbinds_01 male black lipstick non-binary kissing
- refine
- no_refiner
- scheduler
- K_EULER
- lora_scale
- 0.6
- num_outputs
- 1
- guidance_scale
- 7.5
- apply_watermark
- high_noise_frac
- 0.8
- negative_prompt
- prompt_strength
- 0.8
- num_inference_steps
- 50
{ "width": 1024, "height": 1024, "prompt": " two lusterbinds_01 male black lipstick non-binary kissing", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 50 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run marlonbarrios/sdxl-lusterbinds using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "marlonbarrios/sdxl-lusterbinds:edaf74d63b196aa6bd3bf46d5d0dfffaf0ada64f88ebe5b5cd3615768a22c7bb", { input: { width: 1024, height: 1024, prompt: " two lusterbinds_01 male black lipstick non-binary kissing", refine: "no_refiner", scheduler: "K_EULER", lora_scale: 0.6, num_outputs: 1, guidance_scale: 7.5, apply_watermark: true, high_noise_frac: 0.8, negative_prompt: "", prompt_strength: 0.8, num_inference_steps: 50 } } ); // 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 marlonbarrios/sdxl-lusterbinds using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "marlonbarrios/sdxl-lusterbinds:edaf74d63b196aa6bd3bf46d5d0dfffaf0ada64f88ebe5b5cd3615768a22c7bb", input={ "width": 1024, "height": 1024, "prompt": " two lusterbinds_01 male black lipstick non-binary kissing", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": True, "high_noise_frac": 0.8, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 50 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run marlonbarrios/sdxl-lusterbinds 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": "marlonbarrios/sdxl-lusterbinds:edaf74d63b196aa6bd3bf46d5d0dfffaf0ada64f88ebe5b5cd3615768a22c7bb", "input": { "width": 1024, "height": 1024, "prompt": " two lusterbinds_01 male black lipstick non-binary kissing", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-12-11T20:28:08.272508Z", "created_at": "2023-12-11T20:27:46.895174Z", "data_removed": false, "error": null, "id": "b6xsqd3bd34tlvzekrzvs7347m", "input": { "width": 1024, "height": 1024, "prompt": " two lusterbinds_01 male black lipstick non-binary kissing", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 50 }, "logs": "Using seed: 23504\nLoading fine-tuned model\nDoes not have Unet. assume we are using LoRA\nLoading Unet LoRA\nPrompt: two lusterbinds_01 male black lipstick non-binary kissing\ntxt2img mode\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:13, 3.68it/s]\n 4%|▍ | 2/50 [00:00<00:13, 3.67it/s]\n 6%|▌ | 3/50 [00:00<00:12, 3.67it/s]\n 8%|▊ | 4/50 [00:01<00:12, 3.66it/s]\n 10%|█ | 5/50 [00:01<00:12, 3.66it/s]\n 12%|█▏ | 6/50 [00:01<00:12, 3.65it/s]\n 14%|█▍ | 7/50 [00:01<00:11, 3.65it/s]\n 16%|█▌ | 8/50 [00:02<00:11, 3.65it/s]\n 18%|█▊ | 9/50 [00:02<00:11, 3.65it/s]\n 20%|██ | 10/50 [00:02<00:10, 3.65it/s]\n 22%|██▏ | 11/50 [00:03<00:10, 3.65it/s]\n 24%|██▍ | 12/50 [00:03<00:10, 3.65it/s]\n 26%|██▌ | 13/50 [00:03<00:10, 3.65it/s]\n 28%|██▊ | 14/50 [00:03<00:09, 3.65it/s]\n 30%|███ | 15/50 [00:04<00:09, 3.65it/s]\n 32%|███▏ | 16/50 [00:04<00:09, 3.65it/s]\n 34%|███▍ | 17/50 [00:04<00:09, 3.65it/s]\n 36%|███▌ | 18/50 [00:04<00:08, 3.64it/s]\n 38%|███▊ | 19/50 [00:05<00:08, 3.65it/s]\n 40%|████ | 20/50 [00:05<00:08, 3.65it/s]\n 42%|████▏ | 21/50 [00:05<00:07, 3.64it/s]\n 44%|████▍ | 22/50 [00:06<00:07, 3.64it/s]\n 46%|████▌ | 23/50 [00:06<00:07, 3.64it/s]\n 48%|████▊ | 24/50 [00:06<00:07, 3.64it/s]\n 50%|█████ | 25/50 [00:06<00:06, 3.64it/s]\n 52%|█████▏ | 26/50 [00:07<00:06, 3.64it/s]\n 54%|█████▍ | 27/50 [00:07<00:06, 3.64it/s]\n 56%|█████▌ | 28/50 [00:07<00:06, 3.64it/s]\n 58%|█████▊ | 29/50 [00:07<00:05, 3.64it/s]\n 60%|██████ | 30/50 [00:08<00:05, 3.64it/s]\n 62%|██████▏ | 31/50 [00:08<00:05, 3.64it/s]\n 64%|██████▍ | 32/50 [00:08<00:04, 3.63it/s]\n 66%|██████▌ | 33/50 [00:09<00:04, 3.63it/s]\n 68%|██████▊ | 34/50 [00:09<00:04, 3.63it/s]\n 70%|███████ | 35/50 [00:09<00:04, 3.64it/s]\n 72%|███████▏ | 36/50 [00:09<00:03, 3.64it/s]\n 74%|███████▍ | 37/50 [00:10<00:03, 3.64it/s]\n 76%|███████▌ | 38/50 [00:10<00:03, 3.64it/s]\n 78%|███████▊ | 39/50 [00:10<00:03, 3.63it/s]\n 80%|████████ | 40/50 [00:10<00:02, 3.63it/s]\n 82%|████████▏ | 41/50 [00:11<00:02, 3.63it/s]\n 84%|████████▍ | 42/50 [00:11<00:02, 3.63it/s]\n 86%|████████▌ | 43/50 [00:11<00:01, 3.63it/s]\n 88%|████████▊ | 44/50 [00:12<00:01, 3.63it/s]\n 90%|█████████ | 45/50 [00:12<00:01, 3.63it/s]\n 92%|█████████▏| 46/50 [00:12<00:01, 3.63it/s]\n 94%|█████████▍| 47/50 [00:12<00:00, 3.63it/s]\n 96%|█████████▌| 48/50 [00:13<00:00, 3.62it/s]\n 98%|█████████▊| 49/50 [00:13<00:00, 3.63it/s]\n100%|██████████| 50/50 [00:13<00:00, 3.63it/s]\n100%|██████████| 50/50 [00:13<00:00, 3.64it/s]", "metrics": { "predict_time": 16.208618, "total_time": 21.377334 }, "output": [ "https://replicate.delivery/pbxt/jObBskJiFlp4FdHIelTWdFZzyfuQ6rrJ7yUIJuFrjv3XLSBSA/out-0.png" ], "started_at": "2023-12-11T20:27:52.063890Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/b6xsqd3bd34tlvzekrzvs7347m", "cancel": "https://api.replicate.com/v1/predictions/b6xsqd3bd34tlvzekrzvs7347m/cancel" }, "version": "edaf74d63b196aa6bd3bf46d5d0dfffaf0ada64f88ebe5b5cd3615768a22c7bb" }Generated inUsing seed: 23504 Loading fine-tuned model Does not have Unet. assume we are using LoRA Loading Unet LoRA Prompt: two lusterbinds_01 male black lipstick non-binary kissing txt2img mode 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:13, 3.68it/s] 4%|▍ | 2/50 [00:00<00:13, 3.67it/s] 6%|▌ | 3/50 [00:00<00:12, 3.67it/s] 8%|▊ | 4/50 [00:01<00:12, 3.66it/s] 10%|█ | 5/50 [00:01<00:12, 3.66it/s] 12%|█▏ | 6/50 [00:01<00:12, 3.65it/s] 14%|█▍ | 7/50 [00:01<00:11, 3.65it/s] 16%|█▌ | 8/50 [00:02<00:11, 3.65it/s] 18%|█▊ | 9/50 [00:02<00:11, 3.65it/s] 20%|██ | 10/50 [00:02<00:10, 3.65it/s] 22%|██▏ | 11/50 [00:03<00:10, 3.65it/s] 24%|██▍ | 12/50 [00:03<00:10, 3.65it/s] 26%|██▌ | 13/50 [00:03<00:10, 3.65it/s] 28%|██▊ | 14/50 [00:03<00:09, 3.65it/s] 30%|███ | 15/50 [00:04<00:09, 3.65it/s] 32%|███▏ | 16/50 [00:04<00:09, 3.65it/s] 34%|███▍ | 17/50 [00:04<00:09, 3.65it/s] 36%|███▌ | 18/50 [00:04<00:08, 3.64it/s] 38%|███▊ | 19/50 [00:05<00:08, 3.65it/s] 40%|████ | 20/50 [00:05<00:08, 3.65it/s] 42%|████▏ | 21/50 [00:05<00:07, 3.64it/s] 44%|████▍ | 22/50 [00:06<00:07, 3.64it/s] 46%|████▌ | 23/50 [00:06<00:07, 3.64it/s] 48%|████▊ | 24/50 [00:06<00:07, 3.64it/s] 50%|█████ | 25/50 [00:06<00:06, 3.64it/s] 52%|█████▏ | 26/50 [00:07<00:06, 3.64it/s] 54%|█████▍ | 27/50 [00:07<00:06, 3.64it/s] 56%|█████▌ | 28/50 [00:07<00:06, 3.64it/s] 58%|█████▊ | 29/50 [00:07<00:05, 3.64it/s] 60%|██████ | 30/50 [00:08<00:05, 3.64it/s] 62%|██████▏ | 31/50 [00:08<00:05, 3.64it/s] 64%|██████▍ | 32/50 [00:08<00:04, 3.63it/s] 66%|██████▌ | 33/50 [00:09<00:04, 3.63it/s] 68%|██████▊ | 34/50 [00:09<00:04, 3.63it/s] 70%|███████ | 35/50 [00:09<00:04, 3.64it/s] 72%|███████▏ | 36/50 [00:09<00:03, 3.64it/s] 74%|███████▍ | 37/50 [00:10<00:03, 3.64it/s] 76%|███████▌ | 38/50 [00:10<00:03, 3.64it/s] 78%|███████▊ | 39/50 [00:10<00:03, 3.63it/s] 80%|████████ | 40/50 [00:10<00:02, 3.63it/s] 82%|████████▏ | 41/50 [00:11<00:02, 3.63it/s] 84%|████████▍ | 42/50 [00:11<00:02, 3.63it/s] 86%|████████▌ | 43/50 [00:11<00:01, 3.63it/s] 88%|████████▊ | 44/50 [00:12<00:01, 3.63it/s] 90%|█████████ | 45/50 [00:12<00:01, 3.63it/s] 92%|█████████▏| 46/50 [00:12<00:01, 3.63it/s] 94%|█████████▍| 47/50 [00:12<00:00, 3.63it/s] 96%|█████████▌| 48/50 [00:13<00:00, 3.62it/s] 98%|█████████▊| 49/50 [00:13<00:00, 3.63it/s] 100%|██████████| 50/50 [00:13<00:00, 3.63it/s] 100%|██████████| 50/50 [00:13<00:00, 3.64it/s]Prediction
marlonbarrios/sdxl-lusterbinds:edaf74d63b196aa6bd3bf46d5d0dfffaf0ada64f88ebe5b5cd3615768a22c7bbIDf2mdz33bxrhyzsvvughwv4dz5iStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- width
- 1024
- height
- 1024
- prompt
- two lusterbinds_01 black lipstick non-binary kissing bold realistic
- refine
- no_refiner
- scheduler
- K_EULER
- lora_scale
- 0.6
- num_outputs
- 1
- guidance_scale
- 7.5
- apply_watermark
- high_noise_frac
- 0.8
- negative_prompt
- no hands
- prompt_strength
- 0.8
- num_inference_steps
- 50
{ "width": 1024, "height": 1024, "prompt": "two lusterbinds_01 black lipstick non-binary kissing bold realistic", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "no hands", "prompt_strength": 0.8, "num_inference_steps": 50 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run marlonbarrios/sdxl-lusterbinds using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "marlonbarrios/sdxl-lusterbinds:edaf74d63b196aa6bd3bf46d5d0dfffaf0ada64f88ebe5b5cd3615768a22c7bb", { input: { width: 1024, height: 1024, prompt: "two lusterbinds_01 black lipstick non-binary kissing bold realistic", refine: "no_refiner", scheduler: "K_EULER", lora_scale: 0.6, num_outputs: 1, guidance_scale: 7.5, apply_watermark: true, high_noise_frac: 0.8, negative_prompt: "no hands", prompt_strength: 0.8, num_inference_steps: 50 } } ); // 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 marlonbarrios/sdxl-lusterbinds using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "marlonbarrios/sdxl-lusterbinds:edaf74d63b196aa6bd3bf46d5d0dfffaf0ada64f88ebe5b5cd3615768a22c7bb", input={ "width": 1024, "height": 1024, "prompt": "two lusterbinds_01 black lipstick non-binary kissing bold realistic", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": True, "high_noise_frac": 0.8, "negative_prompt": "no hands", "prompt_strength": 0.8, "num_inference_steps": 50 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run marlonbarrios/sdxl-lusterbinds 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": "marlonbarrios/sdxl-lusterbinds:edaf74d63b196aa6bd3bf46d5d0dfffaf0ada64f88ebe5b5cd3615768a22c7bb", "input": { "width": 1024, "height": 1024, "prompt": "two lusterbinds_01 black lipstick non-binary kissing bold realistic", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "no hands", "prompt_strength": 0.8, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-12-11T20:35:01.203185Z", "created_at": "2023-12-11T20:34:40.466607Z", "data_removed": false, "error": null, "id": "f2mdz33bxrhyzsvvughwv4dz5i", "input": { "width": 1024, "height": 1024, "prompt": "two lusterbinds_01 black lipstick non-binary kissing bold realistic", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "no hands", "prompt_strength": 0.8, "num_inference_steps": 50 }, "logs": "Using seed: 56457\nskipping loading .. weights already loaded\nPrompt: two lusterbinds_01 black lipstick non-binary kissing bold realistic\ntxt2img mode\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:13, 3.68it/s]\n 4%|▍ | 2/50 [00:00<00:13, 3.67it/s]\n 6%|▌ | 3/50 [00:00<00:12, 3.66it/s]\n 8%|▊ | 4/50 [00:01<00:12, 3.66it/s]\n 10%|█ | 5/50 [00:01<00:12, 3.66it/s]\n 12%|█▏ | 6/50 [00:01<00:11, 3.67it/s]\n 14%|█▍ | 7/50 [00:01<00:11, 3.67it/s]\n 16%|█▌ | 8/50 [00:02<00:11, 3.67it/s]\n 18%|█▊ | 9/50 [00:02<00:11, 3.67it/s]\n 20%|██ | 10/50 [00:02<00:10, 3.67it/s]\n 22%|██▏ | 11/50 [00:02<00:10, 3.67it/s]\n 24%|██▍ | 12/50 [00:03<00:10, 3.67it/s]\n 26%|██▌ | 13/50 [00:03<00:10, 3.67it/s]\n 28%|██▊ | 14/50 [00:03<00:09, 3.67it/s]\n 30%|███ | 15/50 [00:04<00:09, 3.67it/s]\n 32%|███▏ | 16/50 [00:04<00:09, 3.67it/s]\n 34%|███▍ | 17/50 [00:04<00:09, 3.67it/s]\n 36%|███▌ | 18/50 [00:04<00:08, 3.67it/s]\n 38%|███▊ | 19/50 [00:05<00:08, 3.66it/s]\n 40%|████ | 20/50 [00:05<00:08, 3.66it/s]\n 42%|████▏ | 21/50 [00:05<00:07, 3.67it/s]\n 44%|████▍ | 22/50 [00:05<00:07, 3.67it/s]\n 46%|████▌ | 23/50 [00:06<00:07, 3.66it/s]\n 48%|████▊ | 24/50 [00:06<00:07, 3.67it/s]\n 50%|█████ | 25/50 [00:06<00:06, 3.67it/s]\n 52%|█████▏ | 26/50 [00:07<00:06, 3.66it/s]\n 54%|█████▍ | 27/50 [00:07<00:06, 3.66it/s]\n 56%|█████▌ | 28/50 [00:07<00:06, 3.66it/s]\n 58%|█████▊ | 29/50 [00:07<00:05, 3.67it/s]\n 60%|██████ | 30/50 [00:08<00:05, 3.66it/s]\n 62%|██████▏ | 31/50 [00:08<00:05, 3.66it/s]\n 64%|██████▍ | 32/50 [00:08<00:04, 3.66it/s]\n 66%|██████▌ | 33/50 [00:09<00:04, 3.66it/s]\n 68%|██████▊ | 34/50 [00:09<00:04, 3.66it/s]\n 70%|███████ | 35/50 [00:09<00:04, 3.66it/s]\n 72%|███████▏ | 36/50 [00:09<00:03, 3.66it/s]\n 74%|███████▍ | 37/50 [00:10<00:03, 3.66it/s]\n 76%|███████▌ | 38/50 [00:10<00:03, 3.66it/s]\n 78%|███████▊ | 39/50 [00:10<00:03, 3.66it/s]\n 80%|████████ | 40/50 [00:10<00:02, 3.66it/s]\n 82%|████████▏ | 41/50 [00:11<00:02, 3.66it/s]\n 84%|████████▍ | 42/50 [00:11<00:02, 3.66it/s]\n 86%|████████▌ | 43/50 [00:11<00:01, 3.66it/s]\n 88%|████████▊ | 44/50 [00:12<00:01, 3.66it/s]\n 90%|█████████ | 45/50 [00:12<00:01, 3.66it/s]\n 92%|█████████▏| 46/50 [00:12<00:01, 3.66it/s]\n 94%|█████████▍| 47/50 [00:12<00:00, 3.66it/s]\n 96%|█████████▌| 48/50 [00:13<00:00, 3.66it/s]\n 98%|█████████▊| 49/50 [00:13<00:00, 3.66it/s]\n100%|██████████| 50/50 [00:13<00:00, 3.66it/s]\n100%|██████████| 50/50 [00:13<00:00, 3.66it/s]", "metrics": { "predict_time": 15.478446, "total_time": 20.736578 }, "output": [ "https://replicate.delivery/pbxt/cRLl3T5gfUTf4EHr2fgkVkJZkpFvNls1olTR2o1fBV5THJFIB/out-0.png" ], "started_at": "2023-12-11T20:34:45.724739Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/f2mdz33bxrhyzsvvughwv4dz5i", "cancel": "https://api.replicate.com/v1/predictions/f2mdz33bxrhyzsvvughwv4dz5i/cancel" }, "version": "edaf74d63b196aa6bd3bf46d5d0dfffaf0ada64f88ebe5b5cd3615768a22c7bb" }Generated inUsing seed: 56457 skipping loading .. weights already loaded Prompt: two lusterbinds_01 black lipstick non-binary kissing bold realistic txt2img mode 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:13, 3.68it/s] 4%|▍ | 2/50 [00:00<00:13, 3.67it/s] 6%|▌ | 3/50 [00:00<00:12, 3.66it/s] 8%|▊ | 4/50 [00:01<00:12, 3.66it/s] 10%|█ | 5/50 [00:01<00:12, 3.66it/s] 12%|█▏ | 6/50 [00:01<00:11, 3.67it/s] 14%|█▍ | 7/50 [00:01<00:11, 3.67it/s] 16%|█▌ | 8/50 [00:02<00:11, 3.67it/s] 18%|█▊ | 9/50 [00:02<00:11, 3.67it/s] 20%|██ | 10/50 [00:02<00:10, 3.67it/s] 22%|██▏ | 11/50 [00:02<00:10, 3.67it/s] 24%|██▍ | 12/50 [00:03<00:10, 3.67it/s] 26%|██▌ | 13/50 [00:03<00:10, 3.67it/s] 28%|██▊ | 14/50 [00:03<00:09, 3.67it/s] 30%|███ | 15/50 [00:04<00:09, 3.67it/s] 32%|███▏ | 16/50 [00:04<00:09, 3.67it/s] 34%|███▍ | 17/50 [00:04<00:09, 3.67it/s] 36%|███▌ | 18/50 [00:04<00:08, 3.67it/s] 38%|███▊ | 19/50 [00:05<00:08, 3.66it/s] 40%|████ | 20/50 [00:05<00:08, 3.66it/s] 42%|████▏ | 21/50 [00:05<00:07, 3.67it/s] 44%|████▍ | 22/50 [00:05<00:07, 3.67it/s] 46%|████▌ | 23/50 [00:06<00:07, 3.66it/s] 48%|████▊ | 24/50 [00:06<00:07, 3.67it/s] 50%|█████ | 25/50 [00:06<00:06, 3.67it/s] 52%|█████▏ | 26/50 [00:07<00:06, 3.66it/s] 54%|█████▍ | 27/50 [00:07<00:06, 3.66it/s] 56%|█████▌ | 28/50 [00:07<00:06, 3.66it/s] 58%|█████▊ | 29/50 [00:07<00:05, 3.67it/s] 60%|██████ | 30/50 [00:08<00:05, 3.66it/s] 62%|██████▏ | 31/50 [00:08<00:05, 3.66it/s] 64%|██████▍ | 32/50 [00:08<00:04, 3.66it/s] 66%|██████▌ | 33/50 [00:09<00:04, 3.66it/s] 68%|██████▊ | 34/50 [00:09<00:04, 3.66it/s] 70%|███████ | 35/50 [00:09<00:04, 3.66it/s] 72%|███████▏ | 36/50 [00:09<00:03, 3.66it/s] 74%|███████▍ | 37/50 [00:10<00:03, 3.66it/s] 76%|███████▌ | 38/50 [00:10<00:03, 3.66it/s] 78%|███████▊ | 39/50 [00:10<00:03, 3.66it/s] 80%|████████ | 40/50 [00:10<00:02, 3.66it/s] 82%|████████▏ | 41/50 [00:11<00:02, 3.66it/s] 84%|████████▍ | 42/50 [00:11<00:02, 3.66it/s] 86%|████████▌ | 43/50 [00:11<00:01, 3.66it/s] 88%|████████▊ | 44/50 [00:12<00:01, 3.66it/s] 90%|█████████ | 45/50 [00:12<00:01, 3.66it/s] 92%|█████████▏| 46/50 [00:12<00:01, 3.66it/s] 94%|█████████▍| 47/50 [00:12<00:00, 3.66it/s] 96%|█████████▌| 48/50 [00:13<00:00, 3.66it/s] 98%|█████████▊| 49/50 [00:13<00:00, 3.66it/s] 100%|██████████| 50/50 [00:13<00:00, 3.66it/s] 100%|██████████| 50/50 [00:13<00:00, 3.66it/s]Prediction
marlonbarrios/sdxl-lusterbinds:edaf74d63b196aa6bd3bf46d5d0dfffaf0ada64f88ebe5b5cd3615768a22c7bbIDcafs6h3b4ptrxifbanetpm73t4StatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- width
- 1024
- height
- 1024
- prompt
- 3 lusterbinds_01 black lipstick non-binary
- refine
- no_refiner
- scheduler
- K_EULER
- lora_scale
- 0.84
- num_outputs
- 3
- guidance_scale
- 7.5
- apply_watermark
- high_noise_frac
- 0.8
- negative_prompt
- prompt_strength
- 0.8
- num_inference_steps
- 50
{ "width": 1024, "height": 1024, "prompt": " 3 lusterbinds_01 black lipstick non-binary", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.84, "num_outputs": 3, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 50 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run marlonbarrios/sdxl-lusterbinds using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "marlonbarrios/sdxl-lusterbinds:edaf74d63b196aa6bd3bf46d5d0dfffaf0ada64f88ebe5b5cd3615768a22c7bb", { input: { width: 1024, height: 1024, prompt: " 3 lusterbinds_01 black lipstick non-binary", refine: "no_refiner", scheduler: "K_EULER", lora_scale: 0.84, num_outputs: 3, guidance_scale: 7.5, apply_watermark: true, high_noise_frac: 0.8, negative_prompt: "", prompt_strength: 0.8, num_inference_steps: 50 } } ); // 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 marlonbarrios/sdxl-lusterbinds using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "marlonbarrios/sdxl-lusterbinds:edaf74d63b196aa6bd3bf46d5d0dfffaf0ada64f88ebe5b5cd3615768a22c7bb", input={ "width": 1024, "height": 1024, "prompt": " 3 lusterbinds_01 black lipstick non-binary", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.84, "num_outputs": 3, "guidance_scale": 7.5, "apply_watermark": True, "high_noise_frac": 0.8, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 50 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run marlonbarrios/sdxl-lusterbinds 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": "marlonbarrios/sdxl-lusterbinds:edaf74d63b196aa6bd3bf46d5d0dfffaf0ada64f88ebe5b5cd3615768a22c7bb", "input": { "width": 1024, "height": 1024, "prompt": " 3 lusterbinds_01 black lipstick non-binary", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.84, "num_outputs": 3, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-12-11T21:03:34.846148Z", "created_at": "2023-12-11T21:02:43.434937Z", "data_removed": false, "error": null, "id": "cafs6h3b4ptrxifbanetpm73t4", "input": { "width": 1024, "height": 1024, "prompt": " 3 lusterbinds_01 black lipstick non-binary", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.84, "num_outputs": 3, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "", "prompt_strength": 0.8, "num_inference_steps": 50 }, "logs": "Using seed: 59909\nEnsuring enough disk space...\nFree disk space: 1530773274624\nDownloading weights: https://replicate.delivery/pbxt/bh7sSUdk9oq1L95CwLfpYxChrBa9meOk2Qc270oW0uUU7PBSA/trained_model.tar\nb'Downloaded 186 MB bytes in 0.280s (665 MB/s)\\nExtracted 186 MB in 0.050s (3.7 GB/s)\\n'\nDownloaded weights in 0.4866909980773926 seconds\nLoading fine-tuned model\nDoes not have Unet. assume we are using LoRA\nLoading Unet LoRA\nPrompt: 3 lusterbinds_01 black lipstick non-binary\ntxt2img mode\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:38, 1.28it/s]\n 4%|▍ | 2/50 [00:01<00:37, 1.28it/s]\n 6%|▌ | 3/50 [00:02<00:36, 1.28it/s]\n 8%|▊ | 4/50 [00:03<00:35, 1.28it/s]\n 10%|█ | 5/50 [00:03<00:35, 1.28it/s]\n 12%|█▏ | 6/50 [00:04<00:34, 1.28it/s]\n 14%|█▍ | 7/50 [00:05<00:33, 1.28it/s]\n 16%|█▌ | 8/50 [00:06<00:32, 1.28it/s]\n 18%|█▊ | 9/50 [00:07<00:32, 1.28it/s]\n 20%|██ | 10/50 [00:07<00:31, 1.28it/s]\n 22%|██▏ | 11/50 [00:08<00:30, 1.28it/s]\n 24%|██▍ | 12/50 [00:09<00:29, 1.28it/s]\n 26%|██▌ | 13/50 [00:10<00:28, 1.28it/s]\n 28%|██▊ | 14/50 [00:10<00:28, 1.28it/s]\n 30%|███ | 15/50 [00:11<00:27, 1.28it/s]\n 32%|███▏ | 16/50 [00:12<00:26, 1.28it/s]\n 34%|███▍ | 17/50 [00:13<00:25, 1.28it/s]\n 36%|███▌ | 18/50 [00:14<00:25, 1.28it/s]\n 38%|███▊ | 19/50 [00:14<00:24, 1.28it/s]\n 40%|████ | 20/50 [00:15<00:23, 1.28it/s]\n 42%|████▏ | 21/50 [00:16<00:22, 1.28it/s]\n 44%|████▍ | 22/50 [00:17<00:21, 1.28it/s]\n 46%|████▌ | 23/50 [00:17<00:21, 1.28it/s]\n 48%|████▊ | 24/50 [00:18<00:20, 1.28it/s]\n 50%|█████ | 25/50 [00:19<00:19, 1.28it/s]\n 52%|█████▏ | 26/50 [00:20<00:18, 1.28it/s]\n 54%|█████▍ | 27/50 [00:21<00:17, 1.28it/s]\n 56%|█████▌ | 28/50 [00:21<00:17, 1.28it/s]\n 58%|█████▊ | 29/50 [00:22<00:16, 1.28it/s]\n 60%|██████ | 30/50 [00:23<00:15, 1.28it/s]\n 62%|██████▏ | 31/50 [00:24<00:14, 1.28it/s]\n 64%|██████▍ | 32/50 [00:25<00:14, 1.28it/s]\n 66%|██████▌ | 33/50 [00:25<00:13, 1.28it/s]\n 68%|██████▊ | 34/50 [00:26<00:12, 1.28it/s]\n 70%|███████ | 35/50 [00:27<00:11, 1.28it/s]\n 72%|███████▏ | 36/50 [00:28<00:10, 1.27it/s]\n 74%|███████▍ | 37/50 [00:28<00:10, 1.27it/s]\n 76%|███████▌ | 38/50 [00:29<00:09, 1.27it/s]\n 78%|███████▊ | 39/50 [00:30<00:08, 1.27it/s]\n 80%|████████ | 40/50 [00:31<00:07, 1.27it/s]\n 82%|████████▏ | 41/50 [00:32<00:07, 1.27it/s]\n 84%|████████▍ | 42/50 [00:32<00:06, 1.27it/s]\n 86%|████████▌ | 43/50 [00:33<00:05, 1.27it/s]\n 88%|████████▊ | 44/50 [00:34<00:04, 1.27it/s]\n 90%|█████████ | 45/50 [00:35<00:03, 1.27it/s]\n 92%|█████████▏| 46/50 [00:36<00:03, 1.27it/s]\n 94%|█████████▍| 47/50 [00:36<00:02, 1.27it/s]\n 96%|█████████▌| 48/50 [00:37<00:01, 1.27it/s]\n 98%|█████████▊| 49/50 [00:38<00:00, 1.27it/s]\n100%|██████████| 50/50 [00:39<00:00, 1.27it/s]\n100%|██████████| 50/50 [00:39<00:00, 1.28it/s]", "metrics": { "predict_time": 45.687808, "total_time": 51.411211 }, "output": [ "https://replicate.delivery/pbxt/Ne1w22evbknAXE4jgI0ef51oDccU2XNnaDFq8cc7G5MQyKFIB/out-0.png", "https://replicate.delivery/pbxt/8DYw1JJBdLafL6jLt4iS6fOaq4ed5CeEQvupUTjjlefXJrUgE/out-1.png", "https://replicate.delivery/pbxt/Tic7tbrdUTooBFEUknltIWyEZpxJ72HnAbyfNvyH9wcTWpAJA/out-2.png" ], "started_at": "2023-12-11T21:02:49.158340Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/cafs6h3b4ptrxifbanetpm73t4", "cancel": "https://api.replicate.com/v1/predictions/cafs6h3b4ptrxifbanetpm73t4/cancel" }, "version": "edaf74d63b196aa6bd3bf46d5d0dfffaf0ada64f88ebe5b5cd3615768a22c7bb" }Generated inUsing seed: 59909 Ensuring enough disk space... Free disk space: 1530773274624 Downloading weights: https://replicate.delivery/pbxt/bh7sSUdk9oq1L95CwLfpYxChrBa9meOk2Qc270oW0uUU7PBSA/trained_model.tar b'Downloaded 186 MB bytes in 0.280s (665 MB/s)\nExtracted 186 MB in 0.050s (3.7 GB/s)\n' Downloaded weights in 0.4866909980773926 seconds Loading fine-tuned model Does not have Unet. assume we are using LoRA Loading Unet LoRA Prompt: 3 lusterbinds_01 black lipstick non-binary txt2img mode 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:38, 1.28it/s] 4%|▍ | 2/50 [00:01<00:37, 1.28it/s] 6%|▌ | 3/50 [00:02<00:36, 1.28it/s] 8%|▊ | 4/50 [00:03<00:35, 1.28it/s] 10%|█ | 5/50 [00:03<00:35, 1.28it/s] 12%|█▏ | 6/50 [00:04<00:34, 1.28it/s] 14%|█▍ | 7/50 [00:05<00:33, 1.28it/s] 16%|█▌ | 8/50 [00:06<00:32, 1.28it/s] 18%|█▊ | 9/50 [00:07<00:32, 1.28it/s] 20%|██ | 10/50 [00:07<00:31, 1.28it/s] 22%|██▏ | 11/50 [00:08<00:30, 1.28it/s] 24%|██▍ | 12/50 [00:09<00:29, 1.28it/s] 26%|██▌ | 13/50 [00:10<00:28, 1.28it/s] 28%|██▊ | 14/50 [00:10<00:28, 1.28it/s] 30%|███ | 15/50 [00:11<00:27, 1.28it/s] 32%|███▏ | 16/50 [00:12<00:26, 1.28it/s] 34%|███▍ | 17/50 [00:13<00:25, 1.28it/s] 36%|███▌ | 18/50 [00:14<00:25, 1.28it/s] 38%|███▊ | 19/50 [00:14<00:24, 1.28it/s] 40%|████ | 20/50 [00:15<00:23, 1.28it/s] 42%|████▏ | 21/50 [00:16<00:22, 1.28it/s] 44%|████▍ | 22/50 [00:17<00:21, 1.28it/s] 46%|████▌ | 23/50 [00:17<00:21, 1.28it/s] 48%|████▊ | 24/50 [00:18<00:20, 1.28it/s] 50%|█████ | 25/50 [00:19<00:19, 1.28it/s] 52%|█████▏ | 26/50 [00:20<00:18, 1.28it/s] 54%|█████▍ | 27/50 [00:21<00:17, 1.28it/s] 56%|█████▌ | 28/50 [00:21<00:17, 1.28it/s] 58%|█████▊ | 29/50 [00:22<00:16, 1.28it/s] 60%|██████ | 30/50 [00:23<00:15, 1.28it/s] 62%|██████▏ | 31/50 [00:24<00:14, 1.28it/s] 64%|██████▍ | 32/50 [00:25<00:14, 1.28it/s] 66%|██████▌ | 33/50 [00:25<00:13, 1.28it/s] 68%|██████▊ | 34/50 [00:26<00:12, 1.28it/s] 70%|███████ | 35/50 [00:27<00:11, 1.28it/s] 72%|███████▏ | 36/50 [00:28<00:10, 1.27it/s] 74%|███████▍ | 37/50 [00:28<00:10, 1.27it/s] 76%|███████▌ | 38/50 [00:29<00:09, 1.27it/s] 78%|███████▊ | 39/50 [00:30<00:08, 1.27it/s] 80%|████████ | 40/50 [00:31<00:07, 1.27it/s] 82%|████████▏ | 41/50 [00:32<00:07, 1.27it/s] 84%|████████▍ | 42/50 [00:32<00:06, 1.27it/s] 86%|████████▌ | 43/50 [00:33<00:05, 1.27it/s] 88%|████████▊ | 44/50 [00:34<00:04, 1.27it/s] 90%|█████████ | 45/50 [00:35<00:03, 1.27it/s] 92%|█████████▏| 46/50 [00:36<00:03, 1.27it/s] 94%|█████████▍| 47/50 [00:36<00:02, 1.27it/s] 96%|█████████▌| 48/50 [00:37<00:01, 1.27it/s] 98%|█████████▊| 49/50 [00:38<00:00, 1.27it/s] 100%|██████████| 50/50 [00:39<00:00, 1.27it/s] 100%|██████████| 50/50 [00:39<00:00, 1.28it/s]
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