sebastianbodza
/
flux_aquarell_watercolor_style
A watercolor Aquarell style lora for flux
- Public
- 1.8K runs
-
H100
Prediction
sebastianbodza/flux_aquarell_watercolor_style:081a44215bf213876674a0a4623f9ea6def12c8a6986b5db9026985723fabcb4ID346q3b6jsdrm20chbvwtj7sexcStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- width
- 512
- height
- 512
- prompt
- A painting of a person giving a ted talk on a TED stage with the TED logo, "the speaker". In a watercolor style, AQUACOLTOK
- lora_scale
- 1.17
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- num_inference_steps
- 28
{ "model": "dev", "width": 512, "height": 512, "prompt": "A painting of a person giving a ted talk on a TED stage with the TED logo, \"the speaker\". In a watercolor style, AQUACOLTOK", "lora_scale": 1.17, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run sebastianbodza/flux_aquarell_watercolor_style using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "sebastianbodza/flux_aquarell_watercolor_style:081a44215bf213876674a0a4623f9ea6def12c8a6986b5db9026985723fabcb4", { input: { model: "dev", width: 512, height: 512, prompt: "A painting of a person giving a ted talk on a TED stage with the TED logo, \"the speaker\". In a watercolor style, AQUACOLTOK", lora_scale: 1.17, num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, 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 replicate
Import the client:import replicate
Run sebastianbodza/flux_aquarell_watercolor_style using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "sebastianbodza/flux_aquarell_watercolor_style:081a44215bf213876674a0a4623f9ea6def12c8a6986b5db9026985723fabcb4", input={ "model": "dev", "width": 512, "height": 512, "prompt": "A painting of a person giving a ted talk on a TED stage with the TED logo, \"the speaker\". In a watercolor style, AQUACOLTOK", "lora_scale": 1.17, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run sebastianbodza/flux_aquarell_watercolor_style 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": "sebastianbodza/flux_aquarell_watercolor_style:081a44215bf213876674a0a4623f9ea6def12c8a6986b5db9026985723fabcb4", "input": { "model": "dev", "width": 512, "height": 512, "prompt": "A painting of a person giving a ted talk on a TED stage with the TED logo, \\"the speaker\\". In a watercolor style, AQUACOLTOK", "lora_scale": 1.17, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-17T06:15:57.544077Z", "created_at": "2024-08-17T06:15:16.427000Z", "data_removed": false, "error": null, "id": "346q3b6jsdrm20chbvwtj7sexc", "input": { "model": "dev", "width": 512, "height": 512, "prompt": "A painting of a person giving a ted talk on a TED stage with the TED logo, \"the speaker\". In a watercolor style, AQUACOLTOK", "lora_scale": 1.17, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 }, "logs": "Using seed: 31563\nPrompt: A painting of a person giving a ted talk on a TED stage with the TED logo, \"the speaker\". In a watercolor style, AQUACOLTOK\ntxt2img mode\nUsing dev model\nLoading LoRA weights\nEnsuring enough disk space...\nFree disk space: 9746518761472\nDownloading weights: https://replicate.delivery/yhqm/6DF4C1Y0Z1prC9bwUB8QcxNNAFuYJNfD4RYpI3DgvMfxPcTTA/trained_model.tar\n2024-08-17T06:15:39Z | INFO | [ Initiating ] chunk_size=150M dest=/src/weights-cache/6278b12d0165f33e url=https://replicate.delivery/yhqm/6DF4C1Y0Z1prC9bwUB8QcxNNAFuYJNfD4RYpI3DgvMfxPcTTA/trained_model.tar\n2024-08-17T06:15:40Z | INFO | [ Complete ] dest=/src/weights-cache/6278b12d0165f33e size=\"172 MB\" total_elapsed=1.599s url=https://replicate.delivery/yhqm/6DF4C1Y0Z1prC9bwUB8QcxNNAFuYJNfD4RYpI3DgvMfxPcTTA/trained_model.tar\nb''\nDownloaded weights in 1.629267930984497 seconds\nLoRA weights loaded successfully\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.43it/s]\n 7%|▋ | 2/28 [00:00<00:06, 3.92it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.75it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.67it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.64it/s]\n 21%|██▏ | 6/28 [00:01<00:06, 3.61it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.59it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.58it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.57it/s]\n 36%|███▌ | 10/28 [00:02<00:05, 3.57it/s]\n 39%|███▉ | 11/28 [00:03<00:04, 3.57it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.57it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.56it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.56it/s]\n 54%|█████▎ | 15/28 [00:04<00:03, 3.55it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.55it/s]\n 61%|██████ | 17/28 [00:04<00:03, 3.55it/s]\n 64%|██████▍ | 18/28 [00:05<00:02, 3.55it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.55it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.55it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.55it/s]\n 79%|███████▊ | 22/28 [00:06<00:01, 3.56it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.55it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.56it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.56it/s]\n 93%|█████████▎| 26/28 [00:07<00:00, 3.56it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.56it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.56it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.58it/s]", "metrics": { "predict_time": 18.573144542, "total_time": 41.117077 }, "output": [ "https://replicate.delivery/yhqm/2B0ft2Ya8VykIqK9fznveWkkmGfrfdwB2jCH07h9IfabHy30E/out-0.webp" ], "started_at": "2024-08-17T06:15:38.970932Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/346q3b6jsdrm20chbvwtj7sexc", "cancel": "https://api.replicate.com/v1/predictions/346q3b6jsdrm20chbvwtj7sexc/cancel" }, "version": "081a44215bf213876674a0a4623f9ea6def12c8a6986b5db9026985723fabcb4" }
Generated inUsing seed: 31563 Prompt: A painting of a person giving a ted talk on a TED stage with the TED logo, "the speaker". In a watercolor style, AQUACOLTOK txt2img mode Using dev model Loading LoRA weights Ensuring enough disk space... Free disk space: 9746518761472 Downloading weights: https://replicate.delivery/yhqm/6DF4C1Y0Z1prC9bwUB8QcxNNAFuYJNfD4RYpI3DgvMfxPcTTA/trained_model.tar 2024-08-17T06:15:39Z | INFO | [ Initiating ] chunk_size=150M dest=/src/weights-cache/6278b12d0165f33e url=https://replicate.delivery/yhqm/6DF4C1Y0Z1prC9bwUB8QcxNNAFuYJNfD4RYpI3DgvMfxPcTTA/trained_model.tar 2024-08-17T06:15:40Z | INFO | [ Complete ] dest=/src/weights-cache/6278b12d0165f33e size="172 MB" total_elapsed=1.599s url=https://replicate.delivery/yhqm/6DF4C1Y0Z1prC9bwUB8QcxNNAFuYJNfD4RYpI3DgvMfxPcTTA/trained_model.tar b'' Downloaded weights in 1.629267930984497 seconds LoRA weights loaded successfully 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.43it/s] 7%|▋ | 2/28 [00:00<00:06, 3.92it/s] 11%|█ | 3/28 [00:00<00:06, 3.75it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.67it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.64it/s] 21%|██▏ | 6/28 [00:01<00:06, 3.61it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.59it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.58it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.57it/s] 36%|███▌ | 10/28 [00:02<00:05, 3.57it/s] 39%|███▉ | 11/28 [00:03<00:04, 3.57it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.57it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.56it/s] 50%|█████ | 14/28 [00:03<00:03, 3.56it/s] 54%|█████▎ | 15/28 [00:04<00:03, 3.55it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.55it/s] 61%|██████ | 17/28 [00:04<00:03, 3.55it/s] 64%|██████▍ | 18/28 [00:05<00:02, 3.55it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.55it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.55it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.55it/s] 79%|███████▊ | 22/28 [00:06<00:01, 3.56it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.55it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.56it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.56it/s] 93%|█████████▎| 26/28 [00:07<00:00, 3.56it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.56it/s] 100%|██████████| 28/28 [00:07<00:00, 3.56it/s] 100%|██████████| 28/28 [00:07<00:00, 3.58it/s]
Prediction
sebastianbodza/flux_aquarell_watercolor_style:081a44215bf213876674a0a4623f9ea6def12c8a6986b5db9026985723fabcb4IDw04ra0jk2drm00chbw2v4mx1kwStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- width
- 512
- height
- 512
- prompt
- A painting of a person gazing through a telescope at a starlit sky, surrounded by constellations and planets. The scene is set on a grassy hilltop with a gentle breeze. In a watercolor style, AQUACOLTOK. Include the text "The Astronomer" in the image. White background.
- lora_scale
- 1.01
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- num_inference_steps
- 28
{ "model": "dev", "width": 512, "height": 512, "prompt": "A painting of a person gazing through a telescope at a starlit sky, surrounded by constellations and planets. The scene is set on a grassy hilltop with a gentle breeze. In a watercolor style, AQUACOLTOK. Include the text \"The Astronomer\" in the image. White background.", "lora_scale": 1.01, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run sebastianbodza/flux_aquarell_watercolor_style using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "sebastianbodza/flux_aquarell_watercolor_style:081a44215bf213876674a0a4623f9ea6def12c8a6986b5db9026985723fabcb4", { input: { model: "dev", width: 512, height: 512, prompt: "A painting of a person gazing through a telescope at a starlit sky, surrounded by constellations and planets. The scene is set on a grassy hilltop with a gentle breeze. In a watercolor style, AQUACOLTOK. Include the text \"The Astronomer\" in the image. White background.", lora_scale: 1.01, num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, 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 replicate
Import the client:import replicate
Run sebastianbodza/flux_aquarell_watercolor_style using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "sebastianbodza/flux_aquarell_watercolor_style:081a44215bf213876674a0a4623f9ea6def12c8a6986b5db9026985723fabcb4", input={ "model": "dev", "width": 512, "height": 512, "prompt": "A painting of a person gazing through a telescope at a starlit sky, surrounded by constellations and planets. The scene is set on a grassy hilltop with a gentle breeze. In a watercolor style, AQUACOLTOK. Include the text \"The Astronomer\" in the image. White background.", "lora_scale": 1.01, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run sebastianbodza/flux_aquarell_watercolor_style 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": "sebastianbodza/flux_aquarell_watercolor_style:081a44215bf213876674a0a4623f9ea6def12c8a6986b5db9026985723fabcb4", "input": { "model": "dev", "width": 512, "height": 512, "prompt": "A painting of a person gazing through a telescope at a starlit sky, surrounded by constellations and planets. The scene is set on a grassy hilltop with a gentle breeze. In a watercolor style, AQUACOLTOK. Include the text \\"The Astronomer\\" in the image. White background.", "lora_scale": 1.01, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-17T06:28:26.090371Z", "created_at": "2024-08-17T06:27:50.163000Z", "data_removed": false, "error": null, "id": "w04ra0jk2drm00chbw2v4mx1kw", "input": { "model": "dev", "width": 512, "height": 512, "prompt": "A painting of a person gazing through a telescope at a starlit sky, surrounded by constellations and planets. The scene is set on a grassy hilltop with a gentle breeze. In a watercolor style, AQUACOLTOK. Include the text \"The Astronomer\" in the image. White background.", "lora_scale": 1.01, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 }, "logs": "Using seed: 34559\nPrompt: A painting of a person gazing through a telescope at a starlit sky, surrounded by constellations and planets. The scene is set on a grassy hilltop with a gentle breeze. In a watercolor style, AQUACOLTOK. Include the text \"The Astronomer\" in the image. White background.\ntxt2img mode\nUsing dev model\nLoading LoRA weights\nweights already loaded!\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.49it/s]\n 7%|▋ | 2/28 [00:00<00:06, 3.92it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.72it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.63it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.59it/s]\n 21%|██▏ | 6/28 [00:01<00:06, 3.56it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.55it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.53it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.52it/s]\n 36%|███▌ | 10/28 [00:02<00:05, 3.52it/s]\n 39%|███▉ | 11/28 [00:03<00:04, 3.51it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.50it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.50it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.50it/s]\n 54%|█████▎ | 15/28 [00:04<00:03, 3.50it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.51it/s]\n 61%|██████ | 17/28 [00:04<00:03, 3.51it/s]\n 64%|██████▍ | 18/28 [00:05<00:02, 3.51it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.51it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.51it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.51it/s]\n 79%|███████▊ | 22/28 [00:06<00:01, 3.50it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.50it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.50it/s]\n 89%|████████▉ | 25/28 [00:07<00:00, 3.51it/s]\n 93%|█████████▎| 26/28 [00:07<00:00, 3.51it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.51it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.51it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.53it/s]", "metrics": { "predict_time": 8.48416624, "total_time": 35.927371 }, "output": [ "https://replicate.delivery/yhqm/DL8GILTwXf1MBSpnKQp8aN2cMo2oeMputWghVXZExfUSoeNNB/out-0.webp" ], "started_at": "2024-08-17T06:28:17.606205Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/w04ra0jk2drm00chbw2v4mx1kw", "cancel": "https://api.replicate.com/v1/predictions/w04ra0jk2drm00chbw2v4mx1kw/cancel" }, "version": "081a44215bf213876674a0a4623f9ea6def12c8a6986b5db9026985723fabcb4" }
Generated inUsing seed: 34559 Prompt: A painting of a person gazing through a telescope at a starlit sky, surrounded by constellations and planets. The scene is set on a grassy hilltop with a gentle breeze. In a watercolor style, AQUACOLTOK. Include the text "The Astronomer" in the image. White background. txt2img mode Using dev model Loading LoRA weights weights already loaded! 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.49it/s] 7%|▋ | 2/28 [00:00<00:06, 3.92it/s] 11%|█ | 3/28 [00:00<00:06, 3.72it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.63it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.59it/s] 21%|██▏ | 6/28 [00:01<00:06, 3.56it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.55it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.53it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.52it/s] 36%|███▌ | 10/28 [00:02<00:05, 3.52it/s] 39%|███▉ | 11/28 [00:03<00:04, 3.51it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.50it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.50it/s] 50%|█████ | 14/28 [00:03<00:03, 3.50it/s] 54%|█████▎ | 15/28 [00:04<00:03, 3.50it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.51it/s] 61%|██████ | 17/28 [00:04<00:03, 3.51it/s] 64%|██████▍ | 18/28 [00:05<00:02, 3.51it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.51it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.51it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.51it/s] 79%|███████▊ | 22/28 [00:06<00:01, 3.50it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.50it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.50it/s] 89%|████████▉ | 25/28 [00:07<00:00, 3.51it/s] 93%|█████████▎| 26/28 [00:07<00:00, 3.51it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.51it/s] 100%|██████████| 28/28 [00:07<00:00, 3.51it/s] 100%|██████████| 28/28 [00:07<00:00, 3.53it/s]
Prediction
sebastianbodza/flux_aquarell_watercolor_style:081a44215bf213876674a0a4623f9ea6def12c8a6986b5db9026985723fabcb4IDdsszvs1z71rm40chbwarsm5ghcStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- width
- 1024
- height
- 1024
- prompt
- A painting of a barista creating an intricate latte art design, with the "Coffee Creations" logo skillfully formed within the latte foam. In a watercolor style, AQUACOLTOK. White background.
- lora_scale
- 1.01
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.51
- output_quality
- 80
- num_inference_steps
- 28
{ "model": "dev", "width": 1024, "height": 1024, "prompt": "A painting of a barista creating an intricate latte art design, with the \"Coffee Creations\" logo skillfully formed within the latte foam. In a watercolor style, AQUACOLTOK. White background.", "lora_scale": 1.01, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.51, "output_quality": 80, "num_inference_steps": 28 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run sebastianbodza/flux_aquarell_watercolor_style using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "sebastianbodza/flux_aquarell_watercolor_style:081a44215bf213876674a0a4623f9ea6def12c8a6986b5db9026985723fabcb4", { input: { model: "dev", width: 1024, height: 1024, prompt: "A painting of a barista creating an intricate latte art design, with the \"Coffee Creations\" logo skillfully formed within the latte foam. In a watercolor style, AQUACOLTOK. White background.", lora_scale: 1.01, num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.51, output_quality: 80, 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 replicate
Import the client:import replicate
Run sebastianbodza/flux_aquarell_watercolor_style using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "sebastianbodza/flux_aquarell_watercolor_style:081a44215bf213876674a0a4623f9ea6def12c8a6986b5db9026985723fabcb4", input={ "model": "dev", "width": 1024, "height": 1024, "prompt": "A painting of a barista creating an intricate latte art design, with the \"Coffee Creations\" logo skillfully formed within the latte foam. In a watercolor style, AQUACOLTOK. White background.", "lora_scale": 1.01, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.51, "output_quality": 80, "num_inference_steps": 28 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run sebastianbodza/flux_aquarell_watercolor_style 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": "sebastianbodza/flux_aquarell_watercolor_style:081a44215bf213876674a0a4623f9ea6def12c8a6986b5db9026985723fabcb4", "input": { "model": "dev", "width": 1024, "height": 1024, "prompt": "A painting of a barista creating an intricate latte art design, with the \\"Coffee Creations\\" logo skillfully formed within the latte foam. In a watercolor style, AQUACOLTOK. White background.", "lora_scale": 1.01, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.51, "output_quality": 80, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-17T06:45:32.557115Z", "created_at": "2024-08-17T06:45:13.656000Z", "data_removed": false, "error": null, "id": "dsszvs1z71rm40chbwarsm5ghc", "input": { "model": "dev", "width": 1024, "height": 1024, "prompt": "A painting of a barista creating an intricate latte art design, with the \"Coffee Creations\" logo skillfully formed within the latte foam. In a watercolor style, AQUACOLTOK. White background.", "lora_scale": 1.01, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.51, "output_quality": 80, "num_inference_steps": 28 }, "logs": "Using seed: 13462\nPrompt: A painting of a barista creating an intricate latte art design, with the \"Coffee Creations\" logo skillfully formed within the latte foam. In a watercolor style, AQUACOLTOK. White background.\ntxt2img mode\nUsing dev model\nLoading LoRA weights\nEnsuring enough disk space...\nFree disk space: 9619457974272\nDownloading weights: https://replicate.delivery/yhqm/6DF4C1Y0Z1prC9bwUB8QcxNNAFuYJNfD4RYpI3DgvMfxPcTTA/trained_model.tar\n2024-08-17T06:45:13Z | INFO | [ Initiating ] chunk_size=150M dest=/src/weights-cache/6278b12d0165f33e url=https://replicate.delivery/yhqm/6DF4C1Y0Z1prC9bwUB8QcxNNAFuYJNfD4RYpI3DgvMfxPcTTA/trained_model.tar\n2024-08-17T06:45:15Z | INFO | [ Complete ] dest=/src/weights-cache/6278b12d0165f33e size=\"172 MB\" total_elapsed=1.341s url=https://replicate.delivery/yhqm/6DF4C1Y0Z1prC9bwUB8QcxNNAFuYJNfD4RYpI3DgvMfxPcTTA/trained_model.tar\nb''\nDownloaded weights in 1.3691327571868896 seconds\nLoRA weights loaded successfully\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:09, 2.87it/s]\n 7%|▋ | 2/28 [00:00<00:07, 3.55it/s]\n 11%|█ | 3/28 [00:00<00:07, 3.53it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.52it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.53it/s]\n 21%|██▏ | 6/28 [00:01<00:06, 3.52it/s]\n 25%|██▌ | 7/28 [00:02<00:05, 3.52it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.52it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.52it/s]\n 36%|███▌ | 10/28 [00:02<00:05, 3.51it/s]\n 39%|███▉ | 11/28 [00:03<00:04, 3.50it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.51it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.51it/s]\n 50%|█████ | 14/28 [00:04<00:04, 3.50it/s]\n 54%|█████▎ | 15/28 [00:04<00:03, 3.50it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.51it/s]\n 61%|██████ | 17/28 [00:04<00:03, 3.51it/s]\n 64%|██████▍ | 18/28 [00:05<00:02, 3.51it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.51it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.52it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.52it/s]\n 79%|███████▊ | 22/28 [00:06<00:01, 3.50it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.50it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.51it/s]\n 89%|████████▉ | 25/28 [00:07<00:00, 3.52it/s]\n 93%|█████████▎| 26/28 [00:07<00:00, 3.51it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.51it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.52it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.51it/s]", "metrics": { "predict_time": 18.861531287, "total_time": 18.901115 }, "output": [ "https://replicate.delivery/yhqm/2OkJJCSmGcJwAx1RuDHMhDMaI90ZxASHWXtufu6xCjEGyvpJA/out-0.webp" ], "started_at": "2024-08-17T06:45:13.695584Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/dsszvs1z71rm40chbwarsm5ghc", "cancel": "https://api.replicate.com/v1/predictions/dsszvs1z71rm40chbwarsm5ghc/cancel" }, "version": "081a44215bf213876674a0a4623f9ea6def12c8a6986b5db9026985723fabcb4" }
Generated inUsing seed: 13462 Prompt: A painting of a barista creating an intricate latte art design, with the "Coffee Creations" logo skillfully formed within the latte foam. In a watercolor style, AQUACOLTOK. White background. txt2img mode Using dev model Loading LoRA weights Ensuring enough disk space... Free disk space: 9619457974272 Downloading weights: https://replicate.delivery/yhqm/6DF4C1Y0Z1prC9bwUB8QcxNNAFuYJNfD4RYpI3DgvMfxPcTTA/trained_model.tar 2024-08-17T06:45:13Z | INFO | [ Initiating ] chunk_size=150M dest=/src/weights-cache/6278b12d0165f33e url=https://replicate.delivery/yhqm/6DF4C1Y0Z1prC9bwUB8QcxNNAFuYJNfD4RYpI3DgvMfxPcTTA/trained_model.tar 2024-08-17T06:45:15Z | INFO | [ Complete ] dest=/src/weights-cache/6278b12d0165f33e size="172 MB" total_elapsed=1.341s url=https://replicate.delivery/yhqm/6DF4C1Y0Z1prC9bwUB8QcxNNAFuYJNfD4RYpI3DgvMfxPcTTA/trained_model.tar b'' Downloaded weights in 1.3691327571868896 seconds LoRA weights loaded successfully 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:09, 2.87it/s] 7%|▋ | 2/28 [00:00<00:07, 3.55it/s] 11%|█ | 3/28 [00:00<00:07, 3.53it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.52it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.53it/s] 21%|██▏ | 6/28 [00:01<00:06, 3.52it/s] 25%|██▌ | 7/28 [00:02<00:05, 3.52it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.52it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.52it/s] 36%|███▌ | 10/28 [00:02<00:05, 3.51it/s] 39%|███▉ | 11/28 [00:03<00:04, 3.50it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.51it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.51it/s] 50%|█████ | 14/28 [00:04<00:04, 3.50it/s] 54%|█████▎ | 15/28 [00:04<00:03, 3.50it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.51it/s] 61%|██████ | 17/28 [00:04<00:03, 3.51it/s] 64%|██████▍ | 18/28 [00:05<00:02, 3.51it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.51it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.52it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.52it/s] 79%|███████▊ | 22/28 [00:06<00:01, 3.50it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.50it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.51it/s] 89%|████████▉ | 25/28 [00:07<00:00, 3.52it/s] 93%|█████████▎| 26/28 [00:07<00:00, 3.51it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.51it/s] 100%|██████████| 28/28 [00:07<00:00, 3.52it/s] 100%|██████████| 28/28 [00:07<00:00, 3.51it/s]
Prediction
sebastianbodza/flux_aquarell_watercolor_style:081a44215bf213876674a0a4623f9ea6def12c8a6986b5db9026985723fabcb4IDm2hssxr6xdrm20chbwdtwv4e50StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- width
- 1024
- height
- 1024
- prompt
- A painting of a vintage-style travel poster, with a suitcase and globe in the foreground, and the words "Destination Unknown" printed in a beautiful, cursive font on a distressed luggage tag. In a watercolor style, AQUACOLTOK. White background.
- lora_scale
- 1.01
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- num_inference_steps
- 28
{ "model": "dev", "width": 1024, "height": 1024, "prompt": "A painting of a vintage-style travel poster, with a suitcase and globe in the foreground, and the words \"Destination Unknown\" printed in a beautiful, cursive font on a distressed luggage tag. In a watercolor style, AQUACOLTOK. White background.", "lora_scale": 1.01, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run sebastianbodza/flux_aquarell_watercolor_style using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "sebastianbodza/flux_aquarell_watercolor_style:081a44215bf213876674a0a4623f9ea6def12c8a6986b5db9026985723fabcb4", { input: { model: "dev", width: 1024, height: 1024, prompt: "A painting of a vintage-style travel poster, with a suitcase and globe in the foreground, and the words \"Destination Unknown\" printed in a beautiful, cursive font on a distressed luggage tag. In a watercolor style, AQUACOLTOK. White background.", lora_scale: 1.01, num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, 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 replicate
Import the client:import replicate
Run sebastianbodza/flux_aquarell_watercolor_style using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "sebastianbodza/flux_aquarell_watercolor_style:081a44215bf213876674a0a4623f9ea6def12c8a6986b5db9026985723fabcb4", input={ "model": "dev", "width": 1024, "height": 1024, "prompt": "A painting of a vintage-style travel poster, with a suitcase and globe in the foreground, and the words \"Destination Unknown\" printed in a beautiful, cursive font on a distressed luggage tag. In a watercolor style, AQUACOLTOK. White background.", "lora_scale": 1.01, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run sebastianbodza/flux_aquarell_watercolor_style 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": "sebastianbodza/flux_aquarell_watercolor_style:081a44215bf213876674a0a4623f9ea6def12c8a6986b5db9026985723fabcb4", "input": { "model": "dev", "width": 1024, "height": 1024, "prompt": "A painting of a vintage-style travel poster, with a suitcase and globe in the foreground, and the words \\"Destination Unknown\\" printed in a beautiful, cursive font on a distressed luggage tag. In a watercolor style, AQUACOLTOK. White background.", "lora_scale": 1.01, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-17T06:51:53.495686Z", "created_at": "2024-08-17T06:51:32.459000Z", "data_removed": false, "error": null, "id": "m2hssxr6xdrm20chbwdtwv4e50", "input": { "model": "dev", "width": 1024, "height": 1024, "prompt": "A painting of a vintage-style travel poster, with a suitcase and globe in the foreground, and the words \"Destination Unknown\" printed in a beautiful, cursive font on a distressed luggage tag. In a watercolor style, AQUACOLTOK. White background.", "lora_scale": 1.01, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 }, "logs": "Using seed: 64129\nPrompt: A painting of a vintage-style travel poster, with a suitcase and globe in the foreground, and the words \"Destination Unknown\" printed in a beautiful, cursive font on a distressed luggage tag. In a watercolor style, AQUACOLTOK. White background.\ntxt2img mode\nUsing dev model\nLoading LoRA weights\nLoRA weights loaded successfully\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:08, 3.13it/s]\n 7%|▋ | 2/28 [00:00<00:07, 3.71it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.62it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.58it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.56it/s]\n 21%|██▏ | 6/28 [00:01<00:06, 3.55it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.54it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.54it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.55it/s]\n 36%|███▌ | 10/28 [00:02<00:05, 3.54it/s]\n 39%|███▉ | 11/28 [00:03<00:04, 3.53it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.54it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.54it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.54it/s]\n 54%|█████▎ | 15/28 [00:04<00:03, 3.54it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.54it/s]\n 61%|██████ | 17/28 [00:04<00:03, 3.54it/s]\n 64%|██████▍ | 18/28 [00:05<00:02, 3.54it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.54it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.54it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.54it/s]\n 79%|███████▊ | 22/28 [00:06<00:01, 3.54it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.54it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.54it/s]\n 89%|████████▉ | 25/28 [00:07<00:00, 3.54it/s]\n 93%|█████████▎| 26/28 [00:07<00:00, 3.54it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.53it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.54it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.54it/s]", "metrics": { "predict_time": 21.001992181, "total_time": 21.036686 }, "output": [ "https://replicate.delivery/yhqm/QizYEtqS8S4MLdTf3rmrJ9lGL5v9uPgZRNwifNg0c2lJqfmmA/out-0.webp" ], "started_at": "2024-08-17T06:51:32.493693Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/m2hssxr6xdrm20chbwdtwv4e50", "cancel": "https://api.replicate.com/v1/predictions/m2hssxr6xdrm20chbwdtwv4e50/cancel" }, "version": "081a44215bf213876674a0a4623f9ea6def12c8a6986b5db9026985723fabcb4" }
Generated inUsing seed: 64129 Prompt: A painting of a vintage-style travel poster, with a suitcase and globe in the foreground, and the words "Destination Unknown" printed in a beautiful, cursive font on a distressed luggage tag. In a watercolor style, AQUACOLTOK. White background. txt2img mode Using dev model Loading LoRA weights LoRA weights loaded successfully 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:08, 3.13it/s] 7%|▋ | 2/28 [00:00<00:07, 3.71it/s] 11%|█ | 3/28 [00:00<00:06, 3.62it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.58it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.56it/s] 21%|██▏ | 6/28 [00:01<00:06, 3.55it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.54it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.54it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.55it/s] 36%|███▌ | 10/28 [00:02<00:05, 3.54it/s] 39%|███▉ | 11/28 [00:03<00:04, 3.53it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.54it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.54it/s] 50%|█████ | 14/28 [00:03<00:03, 3.54it/s] 54%|█████▎ | 15/28 [00:04<00:03, 3.54it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.54it/s] 61%|██████ | 17/28 [00:04<00:03, 3.54it/s] 64%|██████▍ | 18/28 [00:05<00:02, 3.54it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.54it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.54it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.54it/s] 79%|███████▊ | 22/28 [00:06<00:01, 3.54it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.54it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.54it/s] 89%|████████▉ | 25/28 [00:07<00:00, 3.54it/s] 93%|█████████▎| 26/28 [00:07<00:00, 3.54it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.53it/s] 100%|██████████| 28/28 [00:07<00:00, 3.54it/s] 100%|██████████| 28/28 [00:07<00:00, 3.54it/s]
Prediction
sebastianbodza/flux_aquarell_watercolor_style:081a44215bf213876674a0a4623f9ea6def12c8a6986b5db9026985723fabcb4ID77dsb4ka39rm20chbwdv6bc8b0StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- width
- 1024
- height
- 1024
- prompt
- A painting of a quaint, old-fashioned bookstore, with the words "Tales of Wonder" etched in gold lettering above the storefront. In a watercolor style, AQUACOLTOK. White background.
- lora_scale
- 1.01
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.51
- output_quality
- 80
- num_inference_steps
- 28
{ "model": "dev", "width": 1024, "height": 1024, "prompt": "A painting of a quaint, old-fashioned bookstore, with the words \"Tales of Wonder\" etched in gold lettering above the storefront. In a watercolor style, AQUACOLTOK. White background.", "lora_scale": 1.01, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.51, "output_quality": 80, "num_inference_steps": 28 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run sebastianbodza/flux_aquarell_watercolor_style using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "sebastianbodza/flux_aquarell_watercolor_style:081a44215bf213876674a0a4623f9ea6def12c8a6986b5db9026985723fabcb4", { input: { model: "dev", width: 1024, height: 1024, prompt: "A painting of a quaint, old-fashioned bookstore, with the words \"Tales of Wonder\" etched in gold lettering above the storefront. In a watercolor style, AQUACOLTOK. White background.", lora_scale: 1.01, num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.51, output_quality: 80, 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 replicate
Import the client:import replicate
Run sebastianbodza/flux_aquarell_watercolor_style using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "sebastianbodza/flux_aquarell_watercolor_style:081a44215bf213876674a0a4623f9ea6def12c8a6986b5db9026985723fabcb4", input={ "model": "dev", "width": 1024, "height": 1024, "prompt": "A painting of a quaint, old-fashioned bookstore, with the words \"Tales of Wonder\" etched in gold lettering above the storefront. In a watercolor style, AQUACOLTOK. White background.", "lora_scale": 1.01, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.51, "output_quality": 80, "num_inference_steps": 28 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run sebastianbodza/flux_aquarell_watercolor_style 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": "sebastianbodza/flux_aquarell_watercolor_style:081a44215bf213876674a0a4623f9ea6def12c8a6986b5db9026985723fabcb4", "input": { "model": "dev", "width": 1024, "height": 1024, "prompt": "A painting of a quaint, old-fashioned bookstore, with the words \\"Tales of Wonder\\" etched in gold lettering above the storefront. In a watercolor style, AQUACOLTOK. White background.", "lora_scale": 1.01, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.51, "output_quality": 80, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-17T06:52:06.318310Z", "created_at": "2024-08-17T06:51:57.850000Z", "data_removed": false, "error": null, "id": "77dsb4ka39rm20chbwdv6bc8b0", "input": { "model": "dev", "width": 1024, "height": 1024, "prompt": "A painting of a quaint, old-fashioned bookstore, with the words \"Tales of Wonder\" etched in gold lettering above the storefront. In a watercolor style, AQUACOLTOK. White background.", "lora_scale": 1.01, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.51, "output_quality": 80, "num_inference_steps": 28 }, "logs": "Using seed: 55083\nPrompt: A painting of a quaint, old-fashioned bookstore, with the words \"Tales of Wonder\" etched in gold lettering above the storefront. In a watercolor style, AQUACOLTOK. White background.\ntxt2img mode\nUsing dev model\nLoading LoRA weights\nweights already loaded!\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.52it/s]\n 7%|▋ | 2/28 [00:00<00:06, 3.93it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.74it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.65it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.61it/s]\n 21%|██▏ | 6/28 [00:01<00:06, 3.59it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.57it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.56it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.55it/s]\n 36%|███▌ | 10/28 [00:02<00:05, 3.55it/s]\n 39%|███▉ | 11/28 [00:03<00:04, 3.54it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.54it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.54it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.54it/s]\n 54%|█████▎ | 15/28 [00:04<00:03, 3.54it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.54it/s]\n 61%|██████ | 17/28 [00:04<00:03, 3.54it/s]\n 64%|██████▍ | 18/28 [00:05<00:02, 3.54it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.54it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.54it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.54it/s]\n 79%|███████▊ | 22/28 [00:06<00:01, 3.54it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.54it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.54it/s]\n 89%|████████▉ | 25/28 [00:07<00:00, 3.54it/s]\n 93%|█████████▎| 26/28 [00:07<00:00, 3.54it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.54it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.54it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.56it/s]", "metrics": { "predict_time": 8.428972076, "total_time": 8.46831 }, "output": [ "https://replicate.delivery/yhqm/DlVMjLr42D6DEReEIjfFRDTFHFgNQpQxWK39pXzNjCHWqfmmA/out-0.webp" ], "started_at": "2024-08-17T06:51:57.889338Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/77dsb4ka39rm20chbwdv6bc8b0", "cancel": "https://api.replicate.com/v1/predictions/77dsb4ka39rm20chbwdv6bc8b0/cancel" }, "version": "081a44215bf213876674a0a4623f9ea6def12c8a6986b5db9026985723fabcb4" }
Generated inUsing seed: 55083 Prompt: A painting of a quaint, old-fashioned bookstore, with the words "Tales of Wonder" etched in gold lettering above the storefront. In a watercolor style, AQUACOLTOK. White background. txt2img mode Using dev model Loading LoRA weights weights already loaded! 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.52it/s] 7%|▋ | 2/28 [00:00<00:06, 3.93it/s] 11%|█ | 3/28 [00:00<00:06, 3.74it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.65it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.61it/s] 21%|██▏ | 6/28 [00:01<00:06, 3.59it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.57it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.56it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.55it/s] 36%|███▌ | 10/28 [00:02<00:05, 3.55it/s] 39%|███▉ | 11/28 [00:03<00:04, 3.54it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.54it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.54it/s] 50%|█████ | 14/28 [00:03<00:03, 3.54it/s] 54%|█████▎ | 15/28 [00:04<00:03, 3.54it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.54it/s] 61%|██████ | 17/28 [00:04<00:03, 3.54it/s] 64%|██████▍ | 18/28 [00:05<00:02, 3.54it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.54it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.54it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.54it/s] 79%|███████▊ | 22/28 [00:06<00:01, 3.54it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.54it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.54it/s] 89%|████████▉ | 25/28 [00:07<00:00, 3.54it/s] 93%|█████████▎| 26/28 [00:07<00:00, 3.54it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.54it/s] 100%|██████████| 28/28 [00:07<00:00, 3.54it/s] 100%|██████████| 28/28 [00:07<00:00, 3.56it/s]
Prediction
sebastianbodza/flux_aquarell_watercolor_style:081a44215bf213876674a0a4623f9ea6def12c8a6986b5db9026985723fabcb4IDwsdgkyf9f9rm60chbwes30sdgcStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- width
- 1024
- height
- 1024
- prompt
- A painting of a mountain climber reaching the summit of a peak, with the word "ASCEND" appearing in the snow patterns on the mountain's surface. In a watercolor style, AQUACOLTOK. White background.
- lora_scale
- 1.01
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- num_inference_steps
- 28
{ "model": "dev", "width": 1024, "height": 1024, "prompt": "A painting of a mountain climber reaching the summit of a peak, with the word \"ASCEND\" appearing in the snow patterns on the mountain's surface. In a watercolor style, AQUACOLTOK. White background.", "lora_scale": 1.01, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run sebastianbodza/flux_aquarell_watercolor_style using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "sebastianbodza/flux_aquarell_watercolor_style:081a44215bf213876674a0a4623f9ea6def12c8a6986b5db9026985723fabcb4", { input: { model: "dev", width: 1024, height: 1024, prompt: "A painting of a mountain climber reaching the summit of a peak, with the word \"ASCEND\" appearing in the snow patterns on the mountain's surface. In a watercolor style, AQUACOLTOK. White background.", lora_scale: 1.01, num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, 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 replicate
Import the client:import replicate
Run sebastianbodza/flux_aquarell_watercolor_style using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "sebastianbodza/flux_aquarell_watercolor_style:081a44215bf213876674a0a4623f9ea6def12c8a6986b5db9026985723fabcb4", input={ "model": "dev", "width": 1024, "height": 1024, "prompt": "A painting of a mountain climber reaching the summit of a peak, with the word \"ASCEND\" appearing in the snow patterns on the mountain's surface. In a watercolor style, AQUACOLTOK. White background.", "lora_scale": 1.01, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run sebastianbodza/flux_aquarell_watercolor_style 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": "sebastianbodza/flux_aquarell_watercolor_style:081a44215bf213876674a0a4623f9ea6def12c8a6986b5db9026985723fabcb4", "input": { "model": "dev", "width": 1024, "height": 1024, "prompt": "A painting of a mountain climber reaching the summit of a peak, with the word \\"ASCEND\\" appearing in the snow patterns on the mountain\'s surface. In a watercolor style, AQUACOLTOK. White background.", "lora_scale": 1.01, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-17T06:55:12.509319Z", "created_at": "2024-08-17T06:54:41.530000Z", "data_removed": false, "error": null, "id": "wsdgkyf9f9rm60chbwes30sdgc", "input": { "model": "dev", "width": 1024, "height": 1024, "prompt": "A painting of a mountain climber reaching the summit of a peak, with the word \"ASCEND\" appearing in the snow patterns on the mountain's surface. In a watercolor style, AQUACOLTOK. White background.", "lora_scale": 1.01, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "num_inference_steps": 28 }, "logs": "Using seed: 47444\nPrompt: A painting of a mountain climber reaching the summit of a peak, with the word \"ASCEND\" appearing in the snow patterns on the mountain's surface. In a watercolor style, AQUACOLTOK. White background.\ntxt2img mode\nUsing dev model\nLoading LoRA weights\nweights already loaded!\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.51it/s]\n 7%|▋ | 2/28 [00:00<00:06, 3.91it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.71it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.62it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.58it/s]\n 21%|██▏ | 6/28 [00:01<00:06, 3.56it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.53it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.52it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.52it/s]\n 36%|███▌ | 10/28 [00:02<00:05, 3.51it/s]\n 39%|███▉ | 11/28 [00:03<00:04, 3.51it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.51it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.50it/s]\n 50%|█████ | 14/28 [00:03<00:04, 3.50it/s]\n 54%|█████▎ | 15/28 [00:04<00:03, 3.50it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.49it/s]\n 61%|██████ | 17/28 [00:04<00:03, 3.49it/s]\n 64%|██████▍ | 18/28 [00:05<00:02, 3.49it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.49it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.48it/s]\n 75%|███████▌ | 21/28 [00:05<00:02, 3.48it/s]\n 79%|███████▊ | 22/28 [00:06<00:01, 3.49it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.49it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.49it/s]\n 89%|████████▉ | 25/28 [00:07<00:00, 3.49it/s]\n 93%|█████████▎| 26/28 [00:07<00:00, 3.50it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.49it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.49it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.52it/s]", "metrics": { "predict_time": 13.506039640000001, "total_time": 30.979319 }, "output": [ "https://replicate.delivery/yhqm/P3S7TLwoRe1Wa6SKbr887Wtq0GqtRJ02IIbheyOnKiRQtfmmA/out-0.webp" ], "started_at": "2024-08-17T06:54:59.003279Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/wsdgkyf9f9rm60chbwes30sdgc", "cancel": "https://api.replicate.com/v1/predictions/wsdgkyf9f9rm60chbwes30sdgc/cancel" }, "version": "081a44215bf213876674a0a4623f9ea6def12c8a6986b5db9026985723fabcb4" }
Generated inUsing seed: 47444 Prompt: A painting of a mountain climber reaching the summit of a peak, with the word "ASCEND" appearing in the snow patterns on the mountain's surface. In a watercolor style, AQUACOLTOK. White background. txt2img mode Using dev model Loading LoRA weights weights already loaded! 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.51it/s] 7%|▋ | 2/28 [00:00<00:06, 3.91it/s] 11%|█ | 3/28 [00:00<00:06, 3.71it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.62it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.58it/s] 21%|██▏ | 6/28 [00:01<00:06, 3.56it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.53it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.52it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.52it/s] 36%|███▌ | 10/28 [00:02<00:05, 3.51it/s] 39%|███▉ | 11/28 [00:03<00:04, 3.51it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.51it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.50it/s] 50%|█████ | 14/28 [00:03<00:04, 3.50it/s] 54%|█████▎ | 15/28 [00:04<00:03, 3.50it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.49it/s] 61%|██████ | 17/28 [00:04<00:03, 3.49it/s] 64%|██████▍ | 18/28 [00:05<00:02, 3.49it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.49it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.48it/s] 75%|███████▌ | 21/28 [00:05<00:02, 3.48it/s] 79%|███████▊ | 22/28 [00:06<00:01, 3.49it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.49it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.49it/s] 89%|████████▉ | 25/28 [00:07<00:00, 3.49it/s] 93%|█████████▎| 26/28 [00:07<00:00, 3.50it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.49it/s] 100%|██████████| 28/28 [00:07<00:00, 3.49it/s] 100%|██████████| 28/28 [00:07<00:00, 3.52it/s]
Prediction
sebastianbodza/flux_aquarell_watercolor_style:081a44215bf213876674a0a4623f9ea6def12c8a6986b5db9026985723fabcb4IDhf3xvhqd65rm20chmmtrj5qzhwStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- width
- 1024
- height
- 1024
- prompt
- nvidia graphics card. In a watercolor style, AQUACOLTOK. White background.
- lora_scale
- 1.01
- num_outputs
- 1
- 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", "width": 1024, "height": 1024, "prompt": "nvidia graphics card. In a watercolor style, AQUACOLTOK. White background.", "lora_scale": 1.01, "num_outputs": 1, "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 replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run sebastianbodza/flux_aquarell_watercolor_style using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "sebastianbodza/flux_aquarell_watercolor_style:081a44215bf213876674a0a4623f9ea6def12c8a6986b5db9026985723fabcb4", { input: { model: "dev", width: 1024, height: 1024, prompt: "nvidia graphics card. In a watercolor style, AQUACOLTOK. White background.", lora_scale: 1.01, num_outputs: 1, 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 replicate
Import the client:import replicate
Run sebastianbodza/flux_aquarell_watercolor_style using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "sebastianbodza/flux_aquarell_watercolor_style:081a44215bf213876674a0a4623f9ea6def12c8a6986b5db9026985723fabcb4", input={ "model": "dev", "width": 1024, "height": 1024, "prompt": "nvidia graphics card. In a watercolor style, AQUACOLTOK. White background.", "lora_scale": 1.01, "num_outputs": 1, "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 sebastianbodza/flux_aquarell_watercolor_style 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": "sebastianbodza/flux_aquarell_watercolor_style:081a44215bf213876674a0a4623f9ea6def12c8a6986b5db9026985723fabcb4", "input": { "model": "dev", "width": 1024, "height": 1024, "prompt": "nvidia graphics card. In a watercolor style, AQUACOLTOK. White background.", "lora_scale": 1.01, "num_outputs": 1, "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/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-30T21:34:40.858617Z", "created_at": "2024-08-30T21:34:20.465000Z", "data_removed": false, "error": null, "id": "hf3xvhqd65rm20chmmtrj5qzhw", "input": { "model": "dev", "width": 1024, "height": 1024, "prompt": "nvidia graphics card. In a watercolor style, AQUACOLTOK. White background.", "lora_scale": 1.01, "num_outputs": 1, "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: 60347\nPrompt: nvidia graphics card. In a watercolor style, AQUACOLTOK. White background.\ntxt2img mode\nUsing dev model\nfree=9777487884288\nDownloading weights\n2024-08-30T21:34:20Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmptsejiu8y/weights url=https://replicate.delivery/yhqm/6DF4C1Y0Z1prC9bwUB8QcxNNAFuYJNfD4RYpI3DgvMfxPcTTA/trained_model.tar\n2024-08-30T21:34:23Z | INFO | [ Complete ] dest=/tmp/tmptsejiu8y/weights size=\"172 MB\" total_elapsed=2.714s url=https://replicate.delivery/yhqm/6DF4C1Y0Z1prC9bwUB8QcxNNAFuYJNfD4RYpI3DgvMfxPcTTA/trained_model.tar\nDownloaded weights in 2.75s\nLoaded LoRAs in 12.04s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.56it/s]\n 7%|▋ | 2/28 [00:00<00:06, 3.97it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.75it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.68it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.64it/s]\n 21%|██▏ | 6/28 [00:01<00:06, 3.61it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.59it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.58it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.57it/s]\n 36%|███▌ | 10/28 [00:02<00:05, 3.57it/s]\n 39%|███▉ | 11/28 [00:03<00:04, 3.56it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.56it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.56it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.56it/s]\n 54%|█████▎ | 15/28 [00:04<00:03, 3.56it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.56it/s]\n 61%|██████ | 17/28 [00:04<00:03, 3.56it/s]\n 64%|██████▍ | 18/28 [00:05<00:02, 3.56it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.56it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.55it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.56it/s]\n 79%|███████▊ | 22/28 [00:06<00:01, 3.55it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.55it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.56it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.56it/s]\n 93%|█████████▎| 26/28 [00:07<00:00, 3.56it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.56it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.54it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.58it/s]", "metrics": { "predict_time": 20.387602814, "total_time": 20.393617 }, "output": [ "https://replicate.delivery/yhqm/HuVZomx2rT5JF1g3Zkn9fqtJYREPCeJ0EfVeszffwMAF8sfrJA/out-0.webp" ], "started_at": "2024-08-30T21:34:20.471015Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/hf3xvhqd65rm20chmmtrj5qzhw", "cancel": "https://api.replicate.com/v1/predictions/hf3xvhqd65rm20chmmtrj5qzhw/cancel" }, "version": "081a44215bf213876674a0a4623f9ea6def12c8a6986b5db9026985723fabcb4" }
Generated inUsing seed: 60347 Prompt: nvidia graphics card. In a watercolor style, AQUACOLTOK. White background. txt2img mode Using dev model free=9777487884288 Downloading weights 2024-08-30T21:34:20Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmptsejiu8y/weights url=https://replicate.delivery/yhqm/6DF4C1Y0Z1prC9bwUB8QcxNNAFuYJNfD4RYpI3DgvMfxPcTTA/trained_model.tar 2024-08-30T21:34:23Z | INFO | [ Complete ] dest=/tmp/tmptsejiu8y/weights size="172 MB" total_elapsed=2.714s url=https://replicate.delivery/yhqm/6DF4C1Y0Z1prC9bwUB8QcxNNAFuYJNfD4RYpI3DgvMfxPcTTA/trained_model.tar Downloaded weights in 2.75s Loaded LoRAs in 12.04s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.56it/s] 7%|▋ | 2/28 [00:00<00:06, 3.97it/s] 11%|█ | 3/28 [00:00<00:06, 3.75it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.68it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.64it/s] 21%|██▏ | 6/28 [00:01<00:06, 3.61it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.59it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.58it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.57it/s] 36%|███▌ | 10/28 [00:02<00:05, 3.57it/s] 39%|███▉ | 11/28 [00:03<00:04, 3.56it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.56it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.56it/s] 50%|█████ | 14/28 [00:03<00:03, 3.56it/s] 54%|█████▎ | 15/28 [00:04<00:03, 3.56it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.56it/s] 61%|██████ | 17/28 [00:04<00:03, 3.56it/s] 64%|██████▍ | 18/28 [00:05<00:02, 3.56it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.56it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.55it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.56it/s] 79%|███████▊ | 22/28 [00:06<00:01, 3.55it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.55it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.56it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.56it/s] 93%|█████████▎| 26/28 [00:07<00:00, 3.56it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.56it/s] 100%|██████████| 28/28 [00:07<00:00, 3.54it/s] 100%|██████████| 28/28 [00:07<00:00, 3.58it/s]
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