derrrick
/
flux-70s-bands
lora for 70s band aesthetics
- Public
- 151 runs
-
H100
Prediction
derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2IDpag0v8twdhrm00chm3wvzz5n90StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- 70s band playing in the style of S7NTY
- lora_scale
- 0.71
- num_outputs
- 1
- aspect_ratio
- 5:4
- output_format
- jpg
- guidance_scale
- 3.5
- output_quality
- 80
- extra_lora_scale
- 0.8
- num_inference_steps
- 28
{ "model": "dev", "prompt": "70s band playing in the style of S7NTY", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run derrrick/flux-70s-bands using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", { input: { model: "dev", prompt: "70s band playing in the style of S7NTY", lora_scale: 0.71, num_outputs: 1, aspect_ratio: "5:4", output_format: "jpg", guidance_scale: 3.5, output_quality: 80, extra_lora_scale: 0.8, num_inference_steps: 28 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun derrrick/flux-70s-bands using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", input={ "model": "dev", "prompt": "70s band playing in the style of S7NTY", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "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 derrrick/flux-70s-bands 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": "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", "input": { "model": "dev", "prompt": "70s band playing in the style of S7NTY", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-30T01:50:05.900710Z", "created_at": "2024-08-30T01:49:42.380000Z", "data_removed": false, "error": null, "id": "pag0v8twdhrm00chm3wvzz5n90", "input": { "model": "dev", "prompt": "70s band playing in the style of S7NTY", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }, "logs": "Using seed: 48475\nPrompt: 70s band playing in the style of S7NTY\ntxt2img mode\nUsing dev model\nfree=9452597854208\nDownloading weights\n2024-08-30T01:49:42Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpckn2goo8/weights url=https://replicate.delivery/yhqm/KdLs19WHhkIeekAyvpFZ3VZX2sXBfbK4JTBfyh1H2811wweaC/trained_model.tar\n2024-08-30T01:49:44Z | INFO | [ Complete ] dest=/tmp/tmpckn2goo8/weights size=\"344 MB\" total_elapsed=1.856s url=https://replicate.delivery/yhqm/KdLs19WHhkIeekAyvpFZ3VZX2sXBfbK4JTBfyh1H2811wweaC/trained_model.tar\nDownloaded weights in 1.90s\nLoaded LoRAs in 15.63s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.71it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.14it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.94it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.84it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.81it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.79it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.77it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.78it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.77it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.77it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.76it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.76it/s]\n 46%|████▋ | 13/28 [00:03<00:03, 3.76it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.75it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 3.76it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.75it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.75it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.75it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.74it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.75it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.76it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.74it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.75it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.75it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.75it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.75it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.74it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.73it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.77it/s]", "metrics": { "predict_time": 23.517272722, "total_time": 23.52071 }, "output": [ "https://replicate.delivery/yhqm/p9KeFN2wg7XYNaHzf0CCtaeCKmY0IpI2dz21Tx1rmmxb6avmA/out-0.jpg" ], "started_at": "2024-08-30T01:49:42.383438Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/pag0v8twdhrm00chm3wvzz5n90", "cancel": "https://api.replicate.com/v1/predictions/pag0v8twdhrm00chm3wvzz5n90/cancel" }, "version": "acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2" }Generated inUsing seed: 48475 Prompt: 70s band playing in the style of S7NTY txt2img mode Using dev model free=9452597854208 Downloading weights 2024-08-30T01:49:42Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpckn2goo8/weights url=https://replicate.delivery/yhqm/KdLs19WHhkIeekAyvpFZ3VZX2sXBfbK4JTBfyh1H2811wweaC/trained_model.tar 2024-08-30T01:49:44Z | INFO | [ Complete ] dest=/tmp/tmpckn2goo8/weights size="344 MB" total_elapsed=1.856s url=https://replicate.delivery/yhqm/KdLs19WHhkIeekAyvpFZ3VZX2sXBfbK4JTBfyh1H2811wweaC/trained_model.tar Downloaded weights in 1.90s Loaded LoRAs in 15.63s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.71it/s] 7%|▋ | 2/28 [00:00<00:06, 4.14it/s] 11%|█ | 3/28 [00:00<00:06, 3.94it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.84it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.81it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.79it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.77it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.78it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.77it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.77it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.76it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.76it/s] 46%|████▋ | 13/28 [00:03<00:03, 3.76it/s] 50%|█████ | 14/28 [00:03<00:03, 3.75it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.76it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.75it/s] 61%|██████ | 17/28 [00:04<00:02, 3.75it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.75it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.74it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.75it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.76it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.74it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.75it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.75it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.75it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.75it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.74it/s] 100%|██████████| 28/28 [00:07<00:00, 3.73it/s] 100%|██████████| 28/28 [00:07<00:00, 3.77it/s]Prediction
derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2ID3dqp22hk1nrm00chm3x95jmrtcStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- a photo of S7NTY band playing, 70s
- lora_scale
- 0.71
- num_outputs
- 1
- aspect_ratio
- 5:4
- output_format
- jpg
- guidance_scale
- 3.5
- output_quality
- 80
- extra_lora_scale
- 0.8
- num_inference_steps
- 28
{ "model": "dev", "prompt": "a photo of S7NTY band playing, 70s", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run derrrick/flux-70s-bands using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", { input: { model: "dev", prompt: "a photo of S7NTY band playing, 70s", lora_scale: 0.71, num_outputs: 1, aspect_ratio: "5:4", output_format: "jpg", guidance_scale: 3.5, output_quality: 80, extra_lora_scale: 0.8, num_inference_steps: 28 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun derrrick/flux-70s-bands using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", input={ "model": "dev", "prompt": "a photo of S7NTY band playing, 70s", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "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 derrrick/flux-70s-bands 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": "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", "input": { "model": "dev", "prompt": "a photo of S7NTY band playing, 70s", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-30T01:50:59.486000Z", "created_at": "2024-08-30T01:50:37.325000Z", "data_removed": false, "error": null, "id": "3dqp22hk1nrm00chm3x95jmrtc", "input": { "model": "dev", "prompt": "a photo of S7NTY band playing, 70s", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }, "logs": "Using seed: 61679\nPrompt: a photo of S7NTY band playing, 70s\ntxt2img mode\nUsing dev model\nLoaded LoRAs in 14.31s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.73it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.19it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.98it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.84it/s]\n 18%|█▊ | 5/28 [00:01<00:05, 3.85it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.82it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.77it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.80it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.79it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.76it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.78it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.77it/s]\n 46%|████▋ | 13/28 [00:03<00:03, 3.76it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.77it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 3.75it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.75it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.76it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.76it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.74it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.76it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.76it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.76it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.76it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.74it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.73it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.75it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.75it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.75it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.78it/s]", "metrics": { "predict_time": 22.151341056, "total_time": 22.161 }, "output": [ "https://replicate.delivery/yhqm/rMzvx2Ihly51LB00WOicsHbUeaspXBOm32Xd2UgGIQkBv2rJA/out-0.jpg" ], "started_at": "2024-08-30T01:50:37.334659Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/3dqp22hk1nrm00chm3x95jmrtc", "cancel": "https://api.replicate.com/v1/predictions/3dqp22hk1nrm00chm3x95jmrtc/cancel" }, "version": "acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2" }Generated inUsing seed: 61679 Prompt: a photo of S7NTY band playing, 70s txt2img mode Using dev model Loaded LoRAs in 14.31s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.73it/s] 7%|▋ | 2/28 [00:00<00:06, 4.19it/s] 11%|█ | 3/28 [00:00<00:06, 3.98it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.84it/s] 18%|█▊ | 5/28 [00:01<00:05, 3.85it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.82it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.77it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.80it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.79it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.76it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.78it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.77it/s] 46%|████▋ | 13/28 [00:03<00:03, 3.76it/s] 50%|█████ | 14/28 [00:03<00:03, 3.77it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.75it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.75it/s] 61%|██████ | 17/28 [00:04<00:02, 3.76it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.76it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.74it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.76it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.76it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.76it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.76it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.74it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.73it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.75it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.75it/s] 100%|██████████| 28/28 [00:07<00:00, 3.75it/s] 100%|██████████| 28/28 [00:07<00:00, 3.78it/s]Prediction
derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2IDt2a7gx7hc9rm00chm3xb17y3qrStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- a photo of S7NTY female vocalist, 70s
- lora_scale
- 0.71
- num_outputs
- 1
- aspect_ratio
- 5:4
- output_format
- jpg
- guidance_scale
- 3.5
- output_quality
- 80
- extra_lora_scale
- 0.8
- num_inference_steps
- 28
{ "model": "dev", "prompt": "a photo of S7NTY female vocalist, 70s", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run derrrick/flux-70s-bands using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", { input: { model: "dev", prompt: "a photo of S7NTY female vocalist, 70s", lora_scale: 0.71, num_outputs: 1, aspect_ratio: "5:4", output_format: "jpg", guidance_scale: 3.5, output_quality: 80, extra_lora_scale: 0.8, num_inference_steps: 28 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun derrrick/flux-70s-bands using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", input={ "model": "dev", "prompt": "a photo of S7NTY female vocalist, 70s", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "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 derrrick/flux-70s-bands 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": "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", "input": { "model": "dev", "prompt": "a photo of S7NTY female vocalist, 70s", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-30T01:51:45.910482Z", "created_at": "2024-08-30T01:51:26.050000Z", "data_removed": false, "error": null, "id": "t2a7gx7hc9rm00chm3xb17y3qr", "input": { "model": "dev", "prompt": "a photo of S7NTY female vocalist, 70s", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }, "logs": "Using seed: 60580\nPrompt: a photo of S7NTY female vocalist, 70s\ntxt2img mode\nUsing dev model\nLoaded LoRAs in 12.02s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.78it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.21it/s]\n 11%|█ | 3/28 [00:00<00:06, 4.00it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.90it/s]\n 18%|█▊ | 5/28 [00:01<00:05, 3.85it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.83it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.81it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.80it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.79it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.79it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.78it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.77it/s]\n 46%|████▋ | 13/28 [00:03<00:03, 3.77it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.77it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 3.77it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.77it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.77it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.77it/s]\n 68%|██████▊ | 19/28 [00:04<00:02, 3.77it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.77it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.77it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.77it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.77it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.77it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.77it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.77it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.77it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.77it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.79it/s]", "metrics": { "predict_time": 19.853354493, "total_time": 19.860482 }, "output": [ "https://replicate.delivery/yhqm/erHOQynsi20rRiszD9dLhjoVbd6ut1cHffsnq8q0yRXi9avmA/out-0.jpg" ], "started_at": "2024-08-30T01:51:26.057127Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/t2a7gx7hc9rm00chm3xb17y3qr", "cancel": "https://api.replicate.com/v1/predictions/t2a7gx7hc9rm00chm3xb17y3qr/cancel" }, "version": "acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2" }Generated inUsing seed: 60580 Prompt: a photo of S7NTY female vocalist, 70s txt2img mode Using dev model Loaded LoRAs in 12.02s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.78it/s] 7%|▋ | 2/28 [00:00<00:06, 4.21it/s] 11%|█ | 3/28 [00:00<00:06, 4.00it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.90it/s] 18%|█▊ | 5/28 [00:01<00:05, 3.85it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.83it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.81it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.80it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.79it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.79it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.78it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.77it/s] 46%|████▋ | 13/28 [00:03<00:03, 3.77it/s] 50%|█████ | 14/28 [00:03<00:03, 3.77it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.77it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.77it/s] 61%|██████ | 17/28 [00:04<00:02, 3.77it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.77it/s] 68%|██████▊ | 19/28 [00:04<00:02, 3.77it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.77it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.77it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.77it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.77it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.77it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.77it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.77it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.77it/s] 100%|██████████| 28/28 [00:07<00:00, 3.77it/s] 100%|██████████| 28/28 [00:07<00:00, 3.79it/s]Prediction
derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2IDbzq2v3w5gxrm60chm3xrpcaqzmStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- a photo of S7NTY female vocalist, 70s
- lora_scale
- 0.71
- num_outputs
- 1
- aspect_ratio
- 5:4
- output_format
- jpg
- guidance_scale
- 3.5
- output_quality
- 80
- extra_lora_scale
- 0.8
- num_inference_steps
- 28
{ "model": "dev", "prompt": "a photo of S7NTY female vocalist, 70s", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run derrrick/flux-70s-bands using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", { input: { model: "dev", prompt: "a photo of S7NTY female vocalist, 70s", lora_scale: 0.71, num_outputs: 1, aspect_ratio: "5:4", output_format: "jpg", guidance_scale: 3.5, output_quality: 80, extra_lora_scale: 0.8, num_inference_steps: 28 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun derrrick/flux-70s-bands using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", input={ "model": "dev", "prompt": "a photo of S7NTY female vocalist, 70s", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "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 derrrick/flux-70s-bands 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": "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", "input": { "model": "dev", "prompt": "a photo of S7NTY female vocalist, 70s", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-30T01:52:22.655038Z", "created_at": "2024-08-30T01:52:03.975000Z", "data_removed": false, "error": null, "id": "bzq2v3w5gxrm60chm3xrpcaqzm", "input": { "model": "dev", "prompt": "a photo of S7NTY female vocalist, 70s", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }, "logs": "Using seed: 16766\nPrompt: a photo of S7NTY female vocalist, 70s\ntxt2img mode\nUsing dev model\nLoaded LoRAs in 10.78s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.71it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.15it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.95it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.86it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.81it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.78it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.77it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.76it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.75it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.74it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.74it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.74it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.73it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.73it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 3.73it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.74it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.73it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.73it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.73it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.74it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.73it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.73it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.73it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.73it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.73it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.73it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.73it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.73it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.75it/s]", "metrics": { "predict_time": 18.67165535, "total_time": 18.680038 }, "output": [ "https://replicate.delivery/yhqm/zzudBVrClXISFhxruMt4c68EuoVX376E0k2whUCCHQs1X71E/out-0.jpg" ], "started_at": "2024-08-30T01:52:03.983383Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/bzq2v3w5gxrm60chm3xrpcaqzm", "cancel": "https://api.replicate.com/v1/predictions/bzq2v3w5gxrm60chm3xrpcaqzm/cancel" }, "version": "acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2" }Generated inUsing seed: 16766 Prompt: a photo of S7NTY female vocalist, 70s txt2img mode Using dev model Loaded LoRAs in 10.78s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.71it/s] 7%|▋ | 2/28 [00:00<00:06, 4.15it/s] 11%|█ | 3/28 [00:00<00:06, 3.95it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.86it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.81it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.78it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.77it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.76it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.75it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.74it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.74it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.74it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.73it/s] 50%|█████ | 14/28 [00:03<00:03, 3.73it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.73it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.74it/s] 61%|██████ | 17/28 [00:04<00:02, 3.73it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.73it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.73it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.74it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.73it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.73it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.73it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.73it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.73it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.73it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.73it/s] 100%|██████████| 28/28 [00:07<00:00, 3.73it/s] 100%|██████████| 28/28 [00:07<00:00, 3.75it/s]Prediction
derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2IDk93xkg16n9rm00chm3ya0a0e2mStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- a photo of S7NTY female vocalist, 70s
- lora_scale
- 0.71
- num_outputs
- 1
- aspect_ratio
- 5:4
- output_format
- jpg
- guidance_scale
- 3.5
- output_quality
- 80
- extra_lora_scale
- 0.8
- num_inference_steps
- 28
{ "model": "dev", "prompt": "a photo of S7NTY female vocalist, 70s", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run derrrick/flux-70s-bands using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", { input: { model: "dev", prompt: "a photo of S7NTY female vocalist, 70s", lora_scale: 0.71, num_outputs: 1, aspect_ratio: "5:4", output_format: "jpg", guidance_scale: 3.5, output_quality: 80, extra_lora_scale: 0.8, num_inference_steps: 28 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun derrrick/flux-70s-bands using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", input={ "model": "dev", "prompt": "a photo of S7NTY female vocalist, 70s", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "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 derrrick/flux-70s-bands 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": "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", "input": { "model": "dev", "prompt": "a photo of S7NTY female vocalist, 70s", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-30T01:53:09.958751Z", "created_at": "2024-08-30T01:52:45.226000Z", "data_removed": false, "error": null, "id": "k93xkg16n9rm00chm3ya0a0e2m", "input": { "model": "dev", "prompt": "a photo of S7NTY female vocalist, 70s", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }, "logs": "Using seed: 52117\nPrompt: a photo of S7NTY female vocalist, 70s\ntxt2img mode\nUsing dev model\nLoaded LoRAs in 13.51s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.75it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.20it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.99it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.88it/s]\n 18%|█▊ | 5/28 [00:01<00:05, 3.84it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.80it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.78it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.76it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.76it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.75it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.73it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.74it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.74it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.74it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 3.71it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.72it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.70it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.71it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.70it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.72it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.73it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.74it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.73it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.75it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.75it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.75it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.75it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.76it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.76it/s]", "metrics": { "predict_time": 21.406772944, "total_time": 24.732751 }, "output": [ "https://replicate.delivery/yhqm/1QO45fbe2ivM4kuJ1uB5jBBcl8ne5xoR5egJb25dLBwXA2eaC/out-0.jpg" ], "started_at": "2024-08-30T01:52:48.551978Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/k93xkg16n9rm00chm3ya0a0e2m", "cancel": "https://api.replicate.com/v1/predictions/k93xkg16n9rm00chm3ya0a0e2m/cancel" }, "version": "acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2" }Generated inUsing seed: 52117 Prompt: a photo of S7NTY female vocalist, 70s txt2img mode Using dev model Loaded LoRAs in 13.51s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.75it/s] 7%|▋ | 2/28 [00:00<00:06, 4.20it/s] 11%|█ | 3/28 [00:00<00:06, 3.99it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.88it/s] 18%|█▊ | 5/28 [00:01<00:05, 3.84it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.80it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.78it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.76it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.76it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.75it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.73it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.74it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.74it/s] 50%|█████ | 14/28 [00:03<00:03, 3.74it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.71it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.72it/s] 61%|██████ | 17/28 [00:04<00:02, 3.70it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.71it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.70it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.72it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.73it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.74it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.73it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.75it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.75it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.75it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.75it/s] 100%|██████████| 28/28 [00:07<00:00, 3.76it/s] 100%|██████████| 28/28 [00:07<00:00, 3.76it/s]Prediction
derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2ID4yzbx6898hrm60chm3ytqebbh8StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- a photo of S7NTY guitar band, 70s
- lora_scale
- 0.71
- num_outputs
- 1
- aspect_ratio
- 5:4
- output_format
- jpg
- guidance_scale
- 3.5
- output_quality
- 80
- extra_lora_scale
- 0.8
- num_inference_steps
- 28
{ "model": "dev", "prompt": "a photo of S7NTY guitar band, 70s", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run derrrick/flux-70s-bands using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", { input: { model: "dev", prompt: "a photo of S7NTY guitar band, 70s", lora_scale: 0.71, num_outputs: 1, aspect_ratio: "5:4", output_format: "jpg", guidance_scale: 3.5, output_quality: 80, extra_lora_scale: 0.8, num_inference_steps: 28 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun derrrick/flux-70s-bands using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", input={ "model": "dev", "prompt": "a photo of S7NTY guitar band, 70s", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "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 derrrick/flux-70s-bands 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": "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", "input": { "model": "dev", "prompt": "a photo of S7NTY guitar band, 70s", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-30T01:54:24.852531Z", "created_at": "2024-08-30T01:53:43.236000Z", "data_removed": false, "error": null, "id": "4yzbx6898hrm60chm3ytqebbh8", "input": { "model": "dev", "prompt": "a photo of S7NTY guitar band, 70s", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }, "logs": "Using seed: 10761\nPrompt: a photo of S7NTY guitar band, 70s\ntxt2img mode\nUsing dev model\nLoaded LoRAs in 10.87s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.75it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.17it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.95it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.86it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.81it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.78it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.76it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.75it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.75it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.74it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.73it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.73it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.74it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.73it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 3.73it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.73it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.73it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.72it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.73it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.73it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.73it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.73it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.72it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.73it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.73it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.73it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.72it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.73it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.75it/s]", "metrics": { "predict_time": 18.761261627, "total_time": 41.616531 }, "output": [ "https://replicate.delivery/yhqm/BmgEMFcS5qJuLtCjdBd8ldccxAXhgeeSLQTHpeQvrBNgCbvmA/out-0.jpg" ], "started_at": "2024-08-30T01:54:06.091269Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/4yzbx6898hrm60chm3ytqebbh8", "cancel": "https://api.replicate.com/v1/predictions/4yzbx6898hrm60chm3ytqebbh8/cancel" }, "version": "acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2" }Generated inUsing seed: 10761 Prompt: a photo of S7NTY guitar band, 70s txt2img mode Using dev model Loaded LoRAs in 10.87s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.75it/s] 7%|▋ | 2/28 [00:00<00:06, 4.17it/s] 11%|█ | 3/28 [00:00<00:06, 3.95it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.86it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.81it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.78it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.76it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.75it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.75it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.74it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.73it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.73it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.74it/s] 50%|█████ | 14/28 [00:03<00:03, 3.73it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.73it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.73it/s] 61%|██████ | 17/28 [00:04<00:02, 3.73it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.72it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.73it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.73it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.73it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.73it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.72it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.73it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.73it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.73it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.72it/s] 100%|██████████| 28/28 [00:07<00:00, 3.73it/s] 100%|██████████| 28/28 [00:07<00:00, 3.75it/s]Prediction
derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2IDpj61nvg4q5rm00chm42sgk0kywStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- a photo of S7NTY concert, 70s
- lora_scale
- 0.71
- num_outputs
- 1
- aspect_ratio
- 5:4
- output_format
- jpg
- guidance_scale
- 3.5
- output_quality
- 80
- extra_lora_scale
- 0.8
- num_inference_steps
- 28
{ "model": "dev", "prompt": "a photo of S7NTY concert, 70s", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run derrrick/flux-70s-bands using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", { input: { model: "dev", prompt: "a photo of S7NTY concert, 70s", lora_scale: 0.71, num_outputs: 1, aspect_ratio: "5:4", output_format: "jpg", guidance_scale: 3.5, output_quality: 80, extra_lora_scale: 0.8, num_inference_steps: 28 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun derrrick/flux-70s-bands using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", input={ "model": "dev", "prompt": "a photo of S7NTY concert, 70s", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "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 derrrick/flux-70s-bands 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": "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", "input": { "model": "dev", "prompt": "a photo of S7NTY concert, 70s", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-30T02:02:59.817991Z", "created_at": "2024-08-30T02:02:26.361000Z", "data_removed": false, "error": null, "id": "pj61nvg4q5rm00chm42sgk0kyw", "input": { "model": "dev", "prompt": "a photo of S7NTY concert, 70s", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }, "logs": "Using seed: 35368\nPrompt: a photo of S7NTY concert, 70s\ntxt2img mode\nUsing dev model\nfree=9409372954624\nDownloading weights\n2024-08-30T02:02:36Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp03l14p_y/weights url=https://replicate.delivery/yhqm/KdLs19WHhkIeekAyvpFZ3VZX2sXBfbK4JTBfyh1H2811wweaC/trained_model.tar\n2024-08-30T02:02:38Z | INFO | [ Complete ] dest=/tmp/tmp03l14p_y/weights size=\"344 MB\" total_elapsed=1.997s url=https://replicate.delivery/yhqm/KdLs19WHhkIeekAyvpFZ3VZX2sXBfbK4JTBfyh1H2811wweaC/trained_model.tar\nDownloaded weights in 2.04s\nLoaded LoRAs in 15.41s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.77it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.22it/s]\n 11%|█ | 3/28 [00:00<00:06, 4.01it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.92it/s]\n 18%|█▊ | 5/28 [00:01<00:05, 3.86it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.84it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.81it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.81it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.80it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.79it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.79it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.79it/s]\n 46%|████▋ | 13/28 [00:03<00:03, 3.78it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.78it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 3.77it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.78it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.78it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.78it/s]\n 68%|██████▊ | 19/28 [00:04<00:02, 3.78it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.78it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.78it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.78it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.78it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.78it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.78it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.78it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.78it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.78it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.80it/s]", "metrics": { "predict_time": 23.20172893, "total_time": 33.456991 }, "output": [ "https://replicate.delivery/yhqm/mTw1hShfcK2HSafWAaTTwqAG3FzU5Tpq6KYSTdb3f5pmSbvmA/out-0.jpg" ], "started_at": "2024-08-30T02:02:36.616262Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/pj61nvg4q5rm00chm42sgk0kyw", "cancel": "https://api.replicate.com/v1/predictions/pj61nvg4q5rm00chm42sgk0kyw/cancel" }, "version": "acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2" }Generated inUsing seed: 35368 Prompt: a photo of S7NTY concert, 70s txt2img mode Using dev model free=9409372954624 Downloading weights 2024-08-30T02:02:36Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp03l14p_y/weights url=https://replicate.delivery/yhqm/KdLs19WHhkIeekAyvpFZ3VZX2sXBfbK4JTBfyh1H2811wweaC/trained_model.tar 2024-08-30T02:02:38Z | INFO | [ Complete ] dest=/tmp/tmp03l14p_y/weights size="344 MB" total_elapsed=1.997s url=https://replicate.delivery/yhqm/KdLs19WHhkIeekAyvpFZ3VZX2sXBfbK4JTBfyh1H2811wweaC/trained_model.tar Downloaded weights in 2.04s Loaded LoRAs in 15.41s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.77it/s] 7%|▋ | 2/28 [00:00<00:06, 4.22it/s] 11%|█ | 3/28 [00:00<00:06, 4.01it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.92it/s] 18%|█▊ | 5/28 [00:01<00:05, 3.86it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.84it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.81it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.81it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.80it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.79it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.79it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.79it/s] 46%|████▋ | 13/28 [00:03<00:03, 3.78it/s] 50%|█████ | 14/28 [00:03<00:03, 3.78it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.77it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.78it/s] 61%|██████ | 17/28 [00:04<00:02, 3.78it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.78it/s] 68%|██████▊ | 19/28 [00:04<00:02, 3.78it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.78it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.78it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.78it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.78it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.78it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.78it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.78it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.78it/s] 100%|██████████| 28/28 [00:07<00:00, 3.78it/s] 100%|██████████| 28/28 [00:07<00:00, 3.80it/s]Prediction
derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2IDtcq3b1q0nxrm60chm44sv3r0vmStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- a photo of S7NTY female vocalist, 70s
- lora_scale
- 0.71
- num_outputs
- 1
- aspect_ratio
- 5:4
- output_format
- jpg
- guidance_scale
- 3.5
- output_quality
- 80
- extra_lora_scale
- 0.8
- num_inference_steps
- 28
{ "model": "dev", "prompt": "a photo of S7NTY female vocalist, 70s", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run derrrick/flux-70s-bands using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", { input: { model: "dev", prompt: "a photo of S7NTY female vocalist, 70s", lora_scale: 0.71, num_outputs: 1, aspect_ratio: "5:4", output_format: "jpg", guidance_scale: 3.5, output_quality: 80, extra_lora_scale: 0.8, num_inference_steps: 28 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun derrrick/flux-70s-bands using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", input={ "model": "dev", "prompt": "a photo of S7NTY female vocalist, 70s", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "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 derrrick/flux-70s-bands 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": "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", "input": { "model": "dev", "prompt": "a photo of S7NTY female vocalist, 70s", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-30T02:08:06.106320Z", "created_at": "2024-08-30T02:07:44.815000Z", "data_removed": false, "error": null, "id": "tcq3b1q0nxrm60chm44sv3r0vm", "input": { "model": "dev", "prompt": "a photo of S7NTY female vocalist, 70s", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }, "logs": "Using seed: 32710\nPrompt: a photo of S7NTY female vocalist, 70s\ntxt2img mode\nUsing dev model\nLoaded LoRAs in 13.45s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.78it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.22it/s]\n 11%|█ | 3/28 [00:00<00:06, 4.00it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.90it/s]\n 18%|█▊ | 5/28 [00:01<00:05, 3.86it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.83it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.81it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.80it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.79it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.78it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.78it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.77it/s]\n 46%|████▋ | 13/28 [00:03<00:03, 3.77it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.77it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 3.76it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.77it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.77it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.77it/s]\n 68%|██████▊ | 19/28 [00:04<00:02, 3.76it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.77it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.77it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.77it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.76it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.76it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.77it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.77it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.77it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.77it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.79it/s]", "metrics": { "predict_time": 21.284051102, "total_time": 21.29132 }, "output": [ "https://replicate.delivery/yhqm/mQUrBs2yLO56O1jmLFxx3ZoI9BKT7fZX9anvrNmZGlfFutXTA/out-0.jpg" ], "started_at": "2024-08-30T02:07:44.822269Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/tcq3b1q0nxrm60chm44sv3r0vm", "cancel": "https://api.replicate.com/v1/predictions/tcq3b1q0nxrm60chm44sv3r0vm/cancel" }, "version": "acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2" }Generated inUsing seed: 32710 Prompt: a photo of S7NTY female vocalist, 70s txt2img mode Using dev model Loaded LoRAs in 13.45s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.78it/s] 7%|▋ | 2/28 [00:00<00:06, 4.22it/s] 11%|█ | 3/28 [00:00<00:06, 4.00it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.90it/s] 18%|█▊ | 5/28 [00:01<00:05, 3.86it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.83it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.81it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.80it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.79it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.78it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.78it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.77it/s] 46%|████▋ | 13/28 [00:03<00:03, 3.77it/s] 50%|█████ | 14/28 [00:03<00:03, 3.77it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.76it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.77it/s] 61%|██████ | 17/28 [00:04<00:02, 3.77it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.77it/s] 68%|██████▊ | 19/28 [00:04<00:02, 3.76it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.77it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.77it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.77it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.76it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.76it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.77it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.77it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.77it/s] 100%|██████████| 28/28 [00:07<00:00, 3.77it/s] 100%|██████████| 28/28 [00:07<00:00, 3.79it/s]Prediction
derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2IDrd7v5whzxhrm20chm46tsg0wcmStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- a photo of S7NTY vocalist, 70s pop band
- lora_scale
- 0.71
- num_outputs
- 1
- aspect_ratio
- 5:4
- output_format
- jpg
- guidance_scale
- 3.5
- output_quality
- 80
- extra_lora_scale
- 0.8
- num_inference_steps
- 28
{ "model": "dev", "prompt": "a photo of S7NTY vocalist, 70s pop band", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run derrrick/flux-70s-bands using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", { input: { model: "dev", prompt: "a photo of S7NTY vocalist, 70s pop band", lora_scale: 0.71, num_outputs: 1, aspect_ratio: "5:4", output_format: "jpg", guidance_scale: 3.5, output_quality: 80, extra_lora_scale: 0.8, num_inference_steps: 28 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun derrrick/flux-70s-bands using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", input={ "model": "dev", "prompt": "a photo of S7NTY vocalist, 70s pop band", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "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 derrrick/flux-70s-bands 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": "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", "input": { "model": "dev", "prompt": "a photo of S7NTY vocalist, 70s pop band", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-30T02:11:45.471105Z", "created_at": "2024-08-30T02:11:25.804000Z", "data_removed": false, "error": null, "id": "rd7v5whzxhrm20chm46tsg0wcm", "input": { "model": "dev", "prompt": "a photo of S7NTY vocalist, 70s pop band", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }, "logs": "Using seed: 61032\nPrompt: a photo of S7NTY vocalist, 70s pop band\ntxt2img mode\nUsing dev model\nLoaded LoRAs in 11.85s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.78it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.22it/s]\n 11%|█ | 3/28 [00:00<00:06, 4.00it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.91it/s]\n 18%|█▊ | 5/28 [00:01<00:05, 3.86it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.83it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.81it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.79it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.79it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.78it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.77it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.77it/s]\n 46%|████▋ | 13/28 [00:03<00:03, 3.77it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.77it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 3.77it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.77it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.77it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.77it/s]\n 68%|██████▊ | 19/28 [00:04<00:02, 3.77it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.77it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.77it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.76it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.78it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.78it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.77it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.77it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.77it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.77it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.79it/s]", "metrics": { "predict_time": 19.65874071, "total_time": 19.667105 }, "output": [ "https://replicate.delivery/yhqm/lwBnjMwtUJoYGBqIoaXOEwe2fUMdn9iFHtL0AZrC5ghhxtXTA/out-0.jpg" ], "started_at": "2024-08-30T02:11:25.812364Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/rd7v5whzxhrm20chm46tsg0wcm", "cancel": "https://api.replicate.com/v1/predictions/rd7v5whzxhrm20chm46tsg0wcm/cancel" }, "version": "acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2" }Generated inUsing seed: 61032 Prompt: a photo of S7NTY vocalist, 70s pop band txt2img mode Using dev model Loaded LoRAs in 11.85s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.78it/s] 7%|▋ | 2/28 [00:00<00:06, 4.22it/s] 11%|█ | 3/28 [00:00<00:06, 4.00it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.91it/s] 18%|█▊ | 5/28 [00:01<00:05, 3.86it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.83it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.81it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.79it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.79it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.78it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.77it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.77it/s] 46%|████▋ | 13/28 [00:03<00:03, 3.77it/s] 50%|█████ | 14/28 [00:03<00:03, 3.77it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.77it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.77it/s] 61%|██████ | 17/28 [00:04<00:02, 3.77it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.77it/s] 68%|██████▊ | 19/28 [00:04<00:02, 3.77it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.77it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.77it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.76it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.78it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.78it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.77it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.77it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.77it/s] 100%|██████████| 28/28 [00:07<00:00, 3.77it/s] 100%|██████████| 28/28 [00:07<00:00, 3.79it/s]Prediction
derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2ID7m3t96572hrm00chm47rq0hfmcStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- A photo of a woman with curly hair, wearing a floral dress, playing a piano. The woman is smiling and looking up, with a microphone in front of her. The scene is in black and white, giving it a classic and timeless feel. The woman's posture and facial expression convey a sense of joy and passion for music. In the style of S7NTY
- lora_scale
- 0.85
- num_outputs
- 1
- aspect_ratio
- 5:4
- output_format
- jpg
- guidance_scale
- 3.5
- output_quality
- 80
- extra_lora_scale
- 0.8
- num_inference_steps
- 28
{ "model": "dev", "prompt": "A photo of a woman with curly hair, wearing a floral dress, playing a piano. The woman is smiling and looking up, with a microphone in front of her. The scene is in black and white, giving it a classic and timeless feel. The woman's posture and facial expression convey a sense of joy and passion for music. In the style of S7NTY", "lora_scale": 0.85, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run derrrick/flux-70s-bands using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", { input: { model: "dev", prompt: "A photo of a woman with curly hair, wearing a floral dress, playing a piano. The woman is smiling and looking up, with a microphone in front of her. The scene is in black and white, giving it a classic and timeless feel. The woman's posture and facial expression convey a sense of joy and passion for music. In the style of S7NTY", lora_scale: 0.85, num_outputs: 1, aspect_ratio: "5:4", output_format: "jpg", guidance_scale: 3.5, output_quality: 80, extra_lora_scale: 0.8, num_inference_steps: 28 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun derrrick/flux-70s-bands using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", input={ "model": "dev", "prompt": "A photo of a woman with curly hair, wearing a floral dress, playing a piano. The woman is smiling and looking up, with a microphone in front of her. The scene is in black and white, giving it a classic and timeless feel. The woman's posture and facial expression convey a sense of joy and passion for music. In the style of S7NTY", "lora_scale": 0.85, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "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 derrrick/flux-70s-bands 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": "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", "input": { "model": "dev", "prompt": "A photo of a woman with curly hair, wearing a floral dress, playing a piano. The woman is smiling and looking up, with a microphone in front of her. The scene is in black and white, giving it a classic and timeless feel. The woman\'s posture and facial expression convey a sense of joy and passion for music. In the style of S7NTY", "lora_scale": 0.85, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-30T02:14:24.306930Z", "created_at": "2024-08-30T02:14:03.284000Z", "data_removed": false, "error": null, "id": "7m3t96572hrm00chm47rq0hfmc", "input": { "model": "dev", "prompt": "A photo of a woman with curly hair, wearing a floral dress, playing a piano. The woman is smiling and looking up, with a microphone in front of her. The scene is in black and white, giving it a classic and timeless feel. The woman's posture and facial expression convey a sense of joy and passion for music. In the style of S7NTY", "lora_scale": 0.85, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }, "logs": "Using seed: 6498\nPrompt: A photo of a woman with curly hair, wearing a floral dress, playing a piano. The woman is smiling and looking up, with a microphone in front of her. The scene is in black and white, giving it a classic and timeless feel. The woman's posture and facial expression convey a sense of joy and passion for music. In the style of S7NTY\ntxt2img mode\nUsing dev model\nLoaded LoRAs in 13.17s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.77it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.22it/s]\n 11%|█ | 3/28 [00:00<00:06, 4.00it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.91it/s]\n 18%|█▊ | 5/28 [00:01<00:05, 3.86it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.83it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.81it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.79it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.79it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.78it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.77it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.77it/s]\n 46%|████▋ | 13/28 [00:03<00:03, 3.77it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.77it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 3.77it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.77it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.76it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.77it/s]\n 68%|██████▊ | 19/28 [00:04<00:02, 3.76it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.76it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.76it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.77it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.77it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.76it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.76it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.76it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.76it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.77it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.79it/s]", "metrics": { "predict_time": 21.013959189, "total_time": 21.02293 }, "output": [ "https://replicate.delivery/yhqm/qU59VKflfFtmKkf1yeQNwydmgf4WuNDs9wDMNGlpokdDgu9aC/out-0.jpg" ], "started_at": "2024-08-30T02:14:03.292971Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/7m3t96572hrm00chm47rq0hfmc", "cancel": "https://api.replicate.com/v1/predictions/7m3t96572hrm00chm47rq0hfmc/cancel" }, "version": "acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2" }Generated inUsing seed: 6498 Prompt: A photo of a woman with curly hair, wearing a floral dress, playing a piano. The woman is smiling and looking up, with a microphone in front of her. The scene is in black and white, giving it a classic and timeless feel. The woman's posture and facial expression convey a sense of joy and passion for music. In the style of S7NTY txt2img mode Using dev model Loaded LoRAs in 13.17s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.77it/s] 7%|▋ | 2/28 [00:00<00:06, 4.22it/s] 11%|█ | 3/28 [00:00<00:06, 4.00it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.91it/s] 18%|█▊ | 5/28 [00:01<00:05, 3.86it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.83it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.81it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.79it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.79it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.78it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.77it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.77it/s] 46%|████▋ | 13/28 [00:03<00:03, 3.77it/s] 50%|█████ | 14/28 [00:03<00:03, 3.77it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.77it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.77it/s] 61%|██████ | 17/28 [00:04<00:02, 3.76it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.77it/s] 68%|██████▊ | 19/28 [00:04<00:02, 3.76it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.76it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.76it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.77it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.77it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.76it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.76it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.76it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.76it/s] 100%|██████████| 28/28 [00:07<00:00, 3.77it/s] 100%|██████████| 28/28 [00:07<00:00, 3.79it/s]Prediction
derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2IDfn36t58145rm60chm4b9hyz7bgStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- a woman in a white dress singing into a microphone, in the style of S7NTY
- lora_scale
- 0.71
- num_outputs
- 1
- aspect_ratio
- 5:4
- output_format
- jpg
- guidance_scale
- 3.5
- output_quality
- 80
- extra_lora_scale
- 0.8
- num_inference_steps
- 28
{ "model": "dev", "prompt": "a woman in a white dress singing into a microphone, in the style of S7NTY", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run derrrick/flux-70s-bands using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", { input: { model: "dev", prompt: "a woman in a white dress singing into a microphone, in the style of S7NTY", lora_scale: 0.71, num_outputs: 1, aspect_ratio: "5:4", output_format: "jpg", guidance_scale: 3.5, output_quality: 80, extra_lora_scale: 0.8, num_inference_steps: 28 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun derrrick/flux-70s-bands using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", input={ "model": "dev", "prompt": "a woman in a white dress singing into a microphone, in the style of S7NTY", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "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 derrrick/flux-70s-bands 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": "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", "input": { "model": "dev", "prompt": "a woman in a white dress singing into a microphone, in the style of S7NTY", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-30T02:21:19.378568Z", "created_at": "2024-08-30T02:20:59.553000Z", "data_removed": false, "error": null, "id": "fn36t58145rm60chm4b9hyz7bg", "input": { "model": "dev", "prompt": "a woman in a white dress singing into a microphone, in the style of S7NTY", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }, "logs": "Using seed: 57357\nPrompt: a woman in a white dress singing into a microphone, in the style of S7NTY\ntxt2img mode\nUsing dev model\nLoaded LoRAs in 11.73s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.77it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.21it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.99it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.90it/s]\n 18%|█▊ | 5/28 [00:01<00:05, 3.85it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.82it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.80it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.79it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.78it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.77it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.77it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.77it/s]\n 46%|████▋ | 13/28 [00:03<00:03, 3.77it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.77it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 3.77it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.77it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.77it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.77it/s]\n 68%|██████▊ | 19/28 [00:04<00:02, 3.77it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.77it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.77it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.77it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.77it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.77it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.77it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.77it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.76it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.77it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.79it/s]", "metrics": { "predict_time": 19.552501404, "total_time": 19.825568 }, "output": [ "https://replicate.delivery/yhqm/2TBwuCkJ23rVDhoY6mh423m1isMDLK0yA7dUNoJrOp2ne2rJA/out-0.jpg" ], "started_at": "2024-08-30T02:20:59.826066Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/fn36t58145rm60chm4b9hyz7bg", "cancel": "https://api.replicate.com/v1/predictions/fn36t58145rm60chm4b9hyz7bg/cancel" }, "version": "acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2" }Generated inUsing seed: 57357 Prompt: a woman in a white dress singing into a microphone, in the style of S7NTY txt2img mode Using dev model Loaded LoRAs in 11.73s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.77it/s] 7%|▋ | 2/28 [00:00<00:06, 4.21it/s] 11%|█ | 3/28 [00:00<00:06, 3.99it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.90it/s] 18%|█▊ | 5/28 [00:01<00:05, 3.85it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.82it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.80it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.79it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.78it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.77it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.77it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.77it/s] 46%|████▋ | 13/28 [00:03<00:03, 3.77it/s] 50%|█████ | 14/28 [00:03<00:03, 3.77it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.77it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.77it/s] 61%|██████ | 17/28 [00:04<00:02, 3.77it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.77it/s] 68%|██████▊ | 19/28 [00:04<00:02, 3.77it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.77it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.77it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.77it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.77it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.77it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.77it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.77it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.76it/s] 100%|██████████| 28/28 [00:07<00:00, 3.77it/s] 100%|██████████| 28/28 [00:07<00:00, 3.79it/s]Prediction
derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2ID5asz5b63r9rm00chm49rbfev74StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- A photo of S7NTY, a man with long hair and a beard, playing drums
- lora_scale
- 0.8
- num_outputs
- 1
- aspect_ratio
- 5:4
- output_format
- jpg
- guidance_scale
- 3.5
- output_quality
- 80
- extra_lora_scale
- 0.8
- num_inference_steps
- 28
{ "model": "dev", "prompt": "A photo of S7NTY, a man with long hair and a beard, playing drums", "lora_scale": 0.8, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run derrrick/flux-70s-bands using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", { input: { model: "dev", prompt: "A photo of S7NTY, a man with long hair and a beard, playing drums", lora_scale: 0.8, num_outputs: 1, aspect_ratio: "5:4", output_format: "jpg", guidance_scale: 3.5, output_quality: 80, extra_lora_scale: 0.8, num_inference_steps: 28 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun derrrick/flux-70s-bands using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", input={ "model": "dev", "prompt": "A photo of S7NTY, a man with long hair and a beard, playing drums", "lora_scale": 0.8, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "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 derrrick/flux-70s-bands 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": "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", "input": { "model": "dev", "prompt": "A photo of S7NTY, a man with long hair and a beard, playing drums", "lora_scale": 0.8, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-30T02:19:05.468952Z", "created_at": "2024-08-30T02:18:32.770000Z", "data_removed": false, "error": null, "id": "5asz5b63r9rm00chm49rbfev74", "input": { "model": "dev", "prompt": "A photo of S7NTY, a man with long hair and a beard, playing drums", "lora_scale": 0.8, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }, "logs": "Using seed: 10381\nPrompt: A photo of S7NTY, a man with long hair and a beard, playing drums\ntxt2img mode\nUsing dev model\nLoaded LoRAs in 12.20s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.73it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.17it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.96it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.86it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.81it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.79it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.77it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.76it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.75it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.74it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.74it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.74it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.74it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.73it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 3.73it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.73it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.73it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.73it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.73it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.72it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.72it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.73it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.73it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.73it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.72it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.73it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.73it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.72it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.75it/s]", "metrics": { "predict_time": 20.096069034, "total_time": 32.698952 }, "output": [ "https://replicate.delivery/yhqm/zlZiTnQN4MadDFMjcVn1wVWOQfvwmLhDX4hE2cu4FL9M82rJA/out-0.jpg" ], "started_at": "2024-08-30T02:18:45.372883Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/5asz5b63r9rm00chm49rbfev74", "cancel": "https://api.replicate.com/v1/predictions/5asz5b63r9rm00chm49rbfev74/cancel" }, "version": "acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2" }Generated inUsing seed: 10381 Prompt: A photo of S7NTY, a man with long hair and a beard, playing drums txt2img mode Using dev model Loaded LoRAs in 12.20s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.73it/s] 7%|▋ | 2/28 [00:00<00:06, 4.17it/s] 11%|█ | 3/28 [00:00<00:06, 3.96it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.86it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.81it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.79it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.77it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.76it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.75it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.74it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.74it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.74it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.74it/s] 50%|█████ | 14/28 [00:03<00:03, 3.73it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.73it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.73it/s] 61%|██████ | 17/28 [00:04<00:02, 3.73it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.73it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.73it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.72it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.72it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.73it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.73it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.73it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.72it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.73it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.73it/s] 100%|██████████| 28/28 [00:07<00:00, 3.72it/s] 100%|██████████| 28/28 [00:07<00:00, 3.75it/s]Prediction
derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2ID4r7rrgm155rm20chm4av6pmae0StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- band playing, 70s, in the style of S7NTY
- lora_scale
- 0.71
- num_outputs
- 1
- aspect_ratio
- 5:4
- output_format
- jpg
- guidance_scale
- 3.5
- output_quality
- 80
- extra_lora_scale
- 0.8
- num_inference_steps
- 28
{ "model": "dev", "prompt": "band playing, 70s, in the style of S7NTY", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run derrrick/flux-70s-bands using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", { input: { model: "dev", prompt: "band playing, 70s, in the style of S7NTY", lora_scale: 0.71, num_outputs: 1, aspect_ratio: "5:4", output_format: "jpg", guidance_scale: 3.5, output_quality: 80, extra_lora_scale: 0.8, num_inference_steps: 28 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun derrrick/flux-70s-bands using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", input={ "model": "dev", "prompt": "band playing, 70s, in the style of S7NTY", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "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 derrrick/flux-70s-bands 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": "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", "input": { "model": "dev", "prompt": "band playing, 70s, in the style of S7NTY", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-30T02:20:47.765161Z", "created_at": "2024-08-30T02:20:26.793000Z", "data_removed": false, "error": null, "id": "4r7rrgm155rm20chm4av6pmae0", "input": { "model": "dev", "prompt": "band playing, 70s, in the style of S7NTY", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }, "logs": "Using seed: 53552\nPrompt: band playing, 70s, in the style of S7NTY\ntxt2img mode\nUsing dev model\nLoaded LoRAs in 13.13s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.75it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.20it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.99it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.90it/s]\n 18%|█▊ | 5/28 [00:01<00:05, 3.85it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.82it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.81it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.79it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.78it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.78it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.77it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.77it/s]\n 46%|████▋ | 13/28 [00:03<00:03, 3.77it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.76it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 3.76it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.76it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.76it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.77it/s]\n 68%|██████▊ | 19/28 [00:04<00:02, 3.77it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.77it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.76it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.76it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.76it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.76it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.76it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.76it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.77it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.77it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.79it/s]", "metrics": { "predict_time": 20.962629597, "total_time": 20.972161 }, "output": [ "https://replicate.delivery/yhqm/0YjwQiqhnFrrCRGjctaH1SXmaspwCQiaMmyxVDoJTVzf82rJA/out-0.jpg" ], "started_at": "2024-08-30T02:20:26.802531Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/4r7rrgm155rm20chm4av6pmae0", "cancel": "https://api.replicate.com/v1/predictions/4r7rrgm155rm20chm4av6pmae0/cancel" }, "version": "acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2" }Generated inUsing seed: 53552 Prompt: band playing, 70s, in the style of S7NTY txt2img mode Using dev model Loaded LoRAs in 13.13s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.75it/s] 7%|▋ | 2/28 [00:00<00:06, 4.20it/s] 11%|█ | 3/28 [00:00<00:06, 3.99it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.90it/s] 18%|█▊ | 5/28 [00:01<00:05, 3.85it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.82it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.81it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.79it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.78it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.78it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.77it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.77it/s] 46%|████▋ | 13/28 [00:03<00:03, 3.77it/s] 50%|█████ | 14/28 [00:03<00:03, 3.76it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.76it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.76it/s] 61%|██████ | 17/28 [00:04<00:02, 3.76it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.77it/s] 68%|██████▊ | 19/28 [00:04<00:02, 3.77it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.77it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.76it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.76it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.76it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.76it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.76it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.76it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.77it/s] 100%|██████████| 28/28 [00:07<00:00, 3.77it/s] 100%|██████████| 28/28 [00:07<00:00, 3.79it/s]Prediction
derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2ID024dzsx17nrm20chm4btab6fagStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- A photo of S7NTY, a black man wearing sunglasses in the 70s, in the style of S7NTY
- lora_scale
- 0.71
- num_outputs
- 1
- aspect_ratio
- 5:4
- output_format
- jpg
- guidance_scale
- 3.5
- output_quality
- 80
- extra_lora_scale
- 0.8
- num_inference_steps
- 28
{ "model": "dev", "prompt": "A photo of S7NTY, a black man wearing sunglasses in the 70s, in the style of S7NTY", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run derrrick/flux-70s-bands using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", { input: { model: "dev", prompt: "A photo of S7NTY, a black man wearing sunglasses in the 70s, in the style of S7NTY", lora_scale: 0.71, num_outputs: 1, aspect_ratio: "5:4", output_format: "jpg", guidance_scale: 3.5, output_quality: 80, extra_lora_scale: 0.8, num_inference_steps: 28 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun derrrick/flux-70s-bands using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", input={ "model": "dev", "prompt": "A photo of S7NTY, a black man wearing sunglasses in the 70s, in the style of S7NTY", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "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 derrrick/flux-70s-bands 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": "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", "input": { "model": "dev", "prompt": "A photo of S7NTY, a black man wearing sunglasses in the 70s, in the style of S7NTY", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-30T02:24:13.396341Z", "created_at": "2024-08-30T02:22:46.077000Z", "data_removed": false, "error": null, "id": "024dzsx17nrm20chm4btab6fag", "input": { "model": "dev", "prompt": "A photo of S7NTY, a black man wearing sunglasses in the 70s, in the style of S7NTY", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }, "logs": "Using seed: 58315\nPrompt: A photo of S7NTY, a black man wearing sunglasses in the 70s, in the style of S7NTY\ntxt2img mode\nUsing dev model\nLoaded LoRAs in 79.34s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.69it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.14it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.95it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.83it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.79it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.77it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.74it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.73it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.74it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.72it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.69it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.72it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.72it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.69it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 3.71it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.71it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.70it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.68it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.72it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.73it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.71it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.72it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.72it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.70it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.72it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.72it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.71it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.73it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.73it/s]", "metrics": { "predict_time": 87.316782759, "total_time": 87.319341 }, "output": [ "https://replicate.delivery/yhqm/VWi5Nt9fGESEd6jOXB8IUVgfYoXavkoeF1YKhefCh78vpv9aC/out-0.jpg" ], "started_at": "2024-08-30T02:22:46.079559Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/024dzsx17nrm20chm4btab6fag", "cancel": "https://api.replicate.com/v1/predictions/024dzsx17nrm20chm4btab6fag/cancel" }, "version": "acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2" }Generated inUsing seed: 58315 Prompt: A photo of S7NTY, a black man wearing sunglasses in the 70s, in the style of S7NTY txt2img mode Using dev model Loaded LoRAs in 79.34s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.69it/s] 7%|▋ | 2/28 [00:00<00:06, 4.14it/s] 11%|█ | 3/28 [00:00<00:06, 3.95it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.83it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.79it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.77it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.74it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.73it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.74it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.72it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.69it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.72it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.72it/s] 50%|█████ | 14/28 [00:03<00:03, 3.69it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.71it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.71it/s] 61%|██████ | 17/28 [00:04<00:02, 3.70it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.68it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.72it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.73it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.71it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.72it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.72it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.70it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.72it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.72it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.71it/s] 100%|██████████| 28/28 [00:07<00:00, 3.73it/s] 100%|██████████| 28/28 [00:07<00:00, 3.73it/s]Prediction
derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2ID7jj7xrnx95rm40chm4crm4yvwrStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- A photo of S7NTY features four men wearing black leather jackets and cowboy hats in the 70s, standing in front of a bus. They are all making funny faces and gestures, with one of the men pointing his finger. The men are positioned close to each other, with one on the left side, one in the middle, and two on the right side of the image. The bus is in the background, taking up a significant portion of the image from the left edge to the right edge. The men's outfits and the bus suggest a rock and roll or biker theme, in the style of S7NTY
- lora_scale
- 0.71
- num_outputs
- 1
- aspect_ratio
- 5:4
- output_format
- jpg
- guidance_scale
- 3.5
- output_quality
- 80
- extra_lora_scale
- 0.8
- num_inference_steps
- 28
{ "model": "dev", "prompt": "A photo of S7NTY features four men wearing black leather jackets and cowboy hats in the 70s, standing in front of a bus. They are all making funny faces and gestures, with one of the men pointing his finger. The men are positioned close to each other, with one on the left side, one in the middle, and two on the right side of the image. The bus is in the background, taking up a significant portion of the image from the left edge to the right edge. The men's outfits and the bus suggest a rock and roll or biker theme, in the style of S7NTY", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run derrrick/flux-70s-bands using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", { input: { model: "dev", prompt: "A photo of S7NTY features four men wearing black leather jackets and cowboy hats in the 70s, standing in front of a bus. They are all making funny faces and gestures, with one of the men pointing his finger. The men are positioned close to each other, with one on the left side, one in the middle, and two on the right side of the image. The bus is in the background, taking up a significant portion of the image from the left edge to the right edge. The men's outfits and the bus suggest a rock and roll or biker theme, in the style of S7NTY", lora_scale: 0.71, num_outputs: 1, aspect_ratio: "5:4", output_format: "jpg", guidance_scale: 3.5, output_quality: 80, extra_lora_scale: 0.8, num_inference_steps: 28 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun derrrick/flux-70s-bands using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", input={ "model": "dev", "prompt": "A photo of S7NTY features four men wearing black leather jackets and cowboy hats in the 70s, standing in front of a bus. They are all making funny faces and gestures, with one of the men pointing his finger. The men are positioned close to each other, with one on the left side, one in the middle, and two on the right side of the image. The bus is in the background, taking up a significant portion of the image from the left edge to the right edge. The men's outfits and the bus suggest a rock and roll or biker theme, in the style of S7NTY", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "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 derrrick/flux-70s-bands 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": "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", "input": { "model": "dev", "prompt": "A photo of S7NTY features four men wearing black leather jackets and cowboy hats in the 70s, standing in front of a bus. They are all making funny faces and gestures, with one of the men pointing his finger. The men are positioned close to each other, with one on the left side, one in the middle, and two on the right side of the image. The bus is in the background, taking up a significant portion of the image from the left edge to the right edge. The men\'s outfits and the bus suggest a rock and roll or biker theme, in the style of S7NTY", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-30T02:28:56.282624Z", "created_at": "2024-08-30T02:25:04.329000Z", "data_removed": false, "error": null, "id": "7jj7xrnx95rm40chm4crm4yvwr", "input": { "model": "dev", "prompt": "A photo of S7NTY features four men wearing black leather jackets and cowboy hats in the 70s, standing in front of a bus. They are all making funny faces and gestures, with one of the men pointing his finger. The men are positioned close to each other, with one on the left side, one in the middle, and two on the right side of the image. The bus is in the background, taking up a significant portion of the image from the left edge to the right edge. The men's outfits and the bus suggest a rock and roll or biker theme, in the style of S7NTY", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }, "logs": "Using seed: 24346\nPrompt: A photo of S7NTY features four men wearing black leather jackets and cowboy hats in the 70s, standing in front of a bus. They are all making funny faces and gestures, with one of the men pointing his finger. The men are positioned close to each other, with one on the left side, one in the middle, and two on the right side of the image. The bus is in the background, taking up a significant portion of the image from the left edge to the right edge. The men's outfits and the bus suggest a rock and roll or biker theme, in the style of S7NTY\ntxt2img mode\nUsing dev model\nfree=9448303308800\nDownloading weights\n2024-08-30T02:27:04Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp7c8xi7j1/weights url=https://replicate.delivery/yhqm/KdLs19WHhkIeekAyvpFZ3VZX2sXBfbK4JTBfyh1H2811wweaC/trained_model.tar\n2024-08-30T02:27:12Z | INFO | [ Complete ] dest=/tmp/tmp7c8xi7j1/weights size=\"344 MB\" total_elapsed=8.056s url=https://replicate.delivery/yhqm/KdLs19WHhkIeekAyvpFZ3VZX2sXBfbK4JTBfyh1H2811wweaC/trained_model.tar\nDownloaded weights in 8.12s\nLoaded LoRAs in 104.01s\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: [\"of the image. the bus is in the background, taking up a significant portion of the image from the left edge to the right edge. the men's outfits and the bus suggest a rock and roll or biker theme, in the style of s 7 nty\"]\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.71it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.13it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.95it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.86it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.80it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.79it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.76it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.73it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.75it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.75it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.71it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.73it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.73it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.71it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 3.72it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.73it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.71it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.72it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.72it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.72it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.70it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.73it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.73it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.71it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.74it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.73it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.71it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.73it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.74it/s]", "metrics": { "predict_time": 111.965305103, "total_time": 231.953624 }, "output": [ "https://replicate.delivery/yhqm/p0P3hoGfmz2JA6tKrtbLmlZXrY3EZEIrECs2yhZHAPR0A3rJA/out-0.jpg" ], "started_at": "2024-08-30T02:27:04.317319Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/7jj7xrnx95rm40chm4crm4yvwr", "cancel": "https://api.replicate.com/v1/predictions/7jj7xrnx95rm40chm4crm4yvwr/cancel" }, "version": "acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2" }Generated inUsing seed: 24346 Prompt: A photo of S7NTY features four men wearing black leather jackets and cowboy hats in the 70s, standing in front of a bus. They are all making funny faces and gestures, with one of the men pointing his finger. The men are positioned close to each other, with one on the left side, one in the middle, and two on the right side of the image. The bus is in the background, taking up a significant portion of the image from the left edge to the right edge. The men's outfits and the bus suggest a rock and roll or biker theme, in the style of S7NTY txt2img mode Using dev model free=9448303308800 Downloading weights 2024-08-30T02:27:04Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp7c8xi7j1/weights url=https://replicate.delivery/yhqm/KdLs19WHhkIeekAyvpFZ3VZX2sXBfbK4JTBfyh1H2811wweaC/trained_model.tar 2024-08-30T02:27:12Z | INFO | [ Complete ] dest=/tmp/tmp7c8xi7j1/weights size="344 MB" total_elapsed=8.056s url=https://replicate.delivery/yhqm/KdLs19WHhkIeekAyvpFZ3VZX2sXBfbK4JTBfyh1H2811wweaC/trained_model.tar Downloaded weights in 8.12s Loaded LoRAs in 104.01s The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ["of the image. the bus is in the background, taking up a significant portion of the image from the left edge to the right edge. the men's outfits and the bus suggest a rock and roll or biker theme, in the style of s 7 nty"] 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.71it/s] 7%|▋ | 2/28 [00:00<00:06, 4.13it/s] 11%|█ | 3/28 [00:00<00:06, 3.95it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.86it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.80it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.79it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.76it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.73it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.75it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.75it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.71it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.73it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.73it/s] 50%|█████ | 14/28 [00:03<00:03, 3.71it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.72it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.73it/s] 61%|██████ | 17/28 [00:04<00:02, 3.71it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.72it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.72it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.72it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.70it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.73it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.73it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.71it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.74it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.73it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.71it/s] 100%|██████████| 28/28 [00:07<00:00, 3.73it/s] 100%|██████████| 28/28 [00:07<00:00, 3.74it/s]Prediction
derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2IDhdkeeqyrp9rm20chm4faddjvn0StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- a photo of S7NTY female vocalist, 70s
- lora_scale
- 0.71
- num_outputs
- 1
- aspect_ratio
- 5:4
- output_format
- jpg
- guidance_scale
- 3.5
- output_quality
- 80
- extra_lora_scale
- 0.8
- num_inference_steps
- 28
{ "model": "dev", "prompt": "a photo of S7NTY female vocalist, 70s", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run derrrick/flux-70s-bands using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", { input: { model: "dev", prompt: "a photo of S7NTY female vocalist, 70s", lora_scale: 0.71, num_outputs: 1, aspect_ratio: "5:4", output_format: "jpg", guidance_scale: 3.5, output_quality: 80, extra_lora_scale: 0.8, num_inference_steps: 28 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun derrrick/flux-70s-bands using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", input={ "model": "dev", "prompt": "a photo of S7NTY female vocalist, 70s", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "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 derrrick/flux-70s-bands 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": "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", "input": { "model": "dev", "prompt": "a photo of S7NTY female vocalist, 70s", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-30T02:30:58.209842Z", "created_at": "2024-08-30T02:30:39.026000Z", "data_removed": false, "error": null, "id": "hdkeeqyrp9rm20chm4faddjvn0", "input": { "model": "dev", "prompt": "a photo of S7NTY female vocalist, 70s", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }, "logs": "Using seed: 9570\nPrompt: a photo of S7NTY female vocalist, 70s\ntxt2img mode\nUsing dev model\nLoaded LoRAs in 11.33s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.77it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.20it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.99it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.90it/s]\n 18%|█▊ | 5/28 [00:01<00:05, 3.86it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.83it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.81it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.80it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.79it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.78it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.78it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.77it/s]\n 46%|████▋ | 13/28 [00:03<00:03, 3.76it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.77it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 3.76it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.77it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.76it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.76it/s]\n 68%|██████▊ | 19/28 [00:04<00:02, 3.76it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.77it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.76it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.76it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.76it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.76it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.76it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.76it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.77it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.77it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.79it/s]", "metrics": { "predict_time": 19.177485609, "total_time": 19.183842 }, "output": [ "https://replicate.delivery/yhqm/aj7Y4ePw3fn8JUrNvnUv1vnD9fHL4bgTfJYej3vzf8hr4g71E/out-0.jpg" ], "started_at": "2024-08-30T02:30:39.032356Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/hdkeeqyrp9rm20chm4faddjvn0", "cancel": "https://api.replicate.com/v1/predictions/hdkeeqyrp9rm20chm4faddjvn0/cancel" }, "version": "acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2" }Generated inUsing seed: 9570 Prompt: a photo of S7NTY female vocalist, 70s txt2img mode Using dev model Loaded LoRAs in 11.33s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.77it/s] 7%|▋ | 2/28 [00:00<00:06, 4.20it/s] 11%|█ | 3/28 [00:00<00:06, 3.99it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.90it/s] 18%|█▊ | 5/28 [00:01<00:05, 3.86it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.83it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.81it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.80it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.79it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.78it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.78it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.77it/s] 46%|████▋ | 13/28 [00:03<00:03, 3.76it/s] 50%|█████ | 14/28 [00:03<00:03, 3.77it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.76it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.77it/s] 61%|██████ | 17/28 [00:04<00:02, 3.76it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.76it/s] 68%|██████▊ | 19/28 [00:04<00:02, 3.76it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.77it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.76it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.76it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.76it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.76it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.76it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.76it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.77it/s] 100%|██████████| 28/28 [00:07<00:00, 3.77it/s] 100%|██████████| 28/28 [00:07<00:00, 3.79it/s]Prediction
derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2IDe87e3ek5exrm00chm4frge98bgStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- A photo of S7NTY features four men wearing black leather jackets and cowboy hats in the 70s, standing in front of a bus. They are all making funny faces and gestures, with one of the men pointing his finger. The men are positioned close to each other, with one on the left side, one in the middle, and two on the right side of the image. The bus is in the background, taking up a significant portion of the image from the left edge to the right edge. The men's outfits and the bus suggest a rock and roll or biker theme, in the style of S7NTY
- lora_scale
- 0.71
- num_outputs
- 1
- aspect_ratio
- 5:4
- output_format
- jpg
- guidance_scale
- 3.5
- output_quality
- 80
- extra_lora_scale
- 0.8
- num_inference_steps
- 28
{ "model": "dev", "prompt": "A photo of S7NTY features four men wearing black leather jackets and cowboy hats in the 70s, standing in front of a bus. They are all making funny faces and gestures, with one of the men pointing his finger. The men are positioned close to each other, with one on the left side, one in the middle, and two on the right side of the image. The bus is in the background, taking up a significant portion of the image from the left edge to the right edge. The men's outfits and the bus suggest a rock and roll or biker theme, in the style of S7NTY", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run derrrick/flux-70s-bands using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", { input: { model: "dev", prompt: "A photo of S7NTY features four men wearing black leather jackets and cowboy hats in the 70s, standing in front of a bus. They are all making funny faces and gestures, with one of the men pointing his finger. The men are positioned close to each other, with one on the left side, one in the middle, and two on the right side of the image. The bus is in the background, taking up a significant portion of the image from the left edge to the right edge. The men's outfits and the bus suggest a rock and roll or biker theme, in the style of S7NTY", lora_scale: 0.71, num_outputs: 1, aspect_ratio: "5:4", output_format: "jpg", guidance_scale: 3.5, output_quality: 80, extra_lora_scale: 0.8, num_inference_steps: 28 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun derrrick/flux-70s-bands using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", input={ "model": "dev", "prompt": "A photo of S7NTY features four men wearing black leather jackets and cowboy hats in the 70s, standing in front of a bus. They are all making funny faces and gestures, with one of the men pointing his finger. The men are positioned close to each other, with one on the left side, one in the middle, and two on the right side of the image. The bus is in the background, taking up a significant portion of the image from the left edge to the right edge. The men's outfits and the bus suggest a rock and roll or biker theme, in the style of S7NTY", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "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 derrrick/flux-70s-bands 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": "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", "input": { "model": "dev", "prompt": "A photo of S7NTY features four men wearing black leather jackets and cowboy hats in the 70s, standing in front of a bus. They are all making funny faces and gestures, with one of the men pointing his finger. The men are positioned close to each other, with one on the left side, one in the middle, and two on the right side of the image. The bus is in the background, taking up a significant portion of the image from the left edge to the right edge. The men\'s outfits and the bus suggest a rock and roll or biker theme, in the style of S7NTY", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-30T02:31:35.837130Z", "created_at": "2024-08-30T02:31:15.063000Z", "data_removed": false, "error": null, "id": "e87e3ek5exrm00chm4frge98bg", "input": { "model": "dev", "prompt": "A photo of S7NTY features four men wearing black leather jackets and cowboy hats in the 70s, standing in front of a bus. They are all making funny faces and gestures, with one of the men pointing his finger. The men are positioned close to each other, with one on the left side, one in the middle, and two on the right side of the image. The bus is in the background, taking up a significant portion of the image from the left edge to the right edge. The men's outfits and the bus suggest a rock and roll or biker theme, in the style of S7NTY", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }, "logs": "Using seed: 27319\nPrompt: A photo of S7NTY features four men wearing black leather jackets and cowboy hats in the 70s, standing in front of a bus. They are all making funny faces and gestures, with one of the men pointing his finger. The men are positioned close to each other, with one on the left side, one in the middle, and two on the right side of the image. The bus is in the background, taking up a significant portion of the image from the left edge to the right edge. The men's outfits and the bus suggest a rock and roll or biker theme, in the style of S7NTY\ntxt2img mode\nUsing dev model\nLoaded LoRAs in 12.85s\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: [\"of the image. the bus is in the background, taking up a significant portion of the image from the left edge to the right edge. the men's outfits and the bus suggest a rock and roll or biker theme, in the style of s 7 nty\"]\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.76it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.15it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.95it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.87it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.82it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.79it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.77it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.76it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.74it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.75it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.74it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.75it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.75it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.74it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 3.74it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.74it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.75it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.74it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.73it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.74it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.74it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.73it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.72it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.73it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.74it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.74it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.73it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.74it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.76it/s]", "metrics": { "predict_time": 20.765348606, "total_time": 20.77413 }, "output": [ "https://replicate.delivery/yhqm/NvNsGm7r7k6eaq0A9bNZeDOOhdsNpYYCH20gMkCtWM9HEuXTA/out-0.jpg" ], "started_at": "2024-08-30T02:31:15.071781Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/e87e3ek5exrm00chm4frge98bg", "cancel": "https://api.replicate.com/v1/predictions/e87e3ek5exrm00chm4frge98bg/cancel" }, "version": "acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2" }Generated inUsing seed: 27319 Prompt: A photo of S7NTY features four men wearing black leather jackets and cowboy hats in the 70s, standing in front of a bus. They are all making funny faces and gestures, with one of the men pointing his finger. The men are positioned close to each other, with one on the left side, one in the middle, and two on the right side of the image. The bus is in the background, taking up a significant portion of the image from the left edge to the right edge. The men's outfits and the bus suggest a rock and roll or biker theme, in the style of S7NTY txt2img mode Using dev model Loaded LoRAs in 12.85s The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ["of the image. the bus is in the background, taking up a significant portion of the image from the left edge to the right edge. the men's outfits and the bus suggest a rock and roll or biker theme, in the style of s 7 nty"] 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.76it/s] 7%|▋ | 2/28 [00:00<00:06, 4.15it/s] 11%|█ | 3/28 [00:00<00:06, 3.95it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.87it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.82it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.79it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.77it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.76it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.74it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.75it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.74it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.75it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.75it/s] 50%|█████ | 14/28 [00:03<00:03, 3.74it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.74it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.74it/s] 61%|██████ | 17/28 [00:04<00:02, 3.75it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.74it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.73it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.74it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.74it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.73it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.72it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.73it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.74it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.74it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.73it/s] 100%|██████████| 28/28 [00:07<00:00, 3.74it/s] 100%|██████████| 28/28 [00:07<00:00, 3.76it/s]Prediction
derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2IDdgevxzj30drm60chm3qr3cmyccStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- band playing, 70s, in the style of S7NTY
- lora_scale
- 1
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- jpg
- guidance_scale
- 3.5
- output_quality
- 80
- extra_lora_scale
- 0.8
- num_inference_steps
- 28
{ "model": "dev", "prompt": "band playing, 70s, in the style of S7NTY", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run derrrick/flux-70s-bands using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", { input: { model: "dev", prompt: "band playing, 70s, in the style of S7NTY", lora_scale: 1, num_outputs: 1, aspect_ratio: "1:1", output_format: "jpg", guidance_scale: 3.5, output_quality: 80, extra_lora_scale: 0.8, num_inference_steps: 28 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun derrrick/flux-70s-bands using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", input={ "model": "dev", "prompt": "band playing, 70s, in the style of S7NTY", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "jpg", "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 derrrick/flux-70s-bands 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": "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", "input": { "model": "dev", "prompt": "band playing, 70s, in the style of S7NTY", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-30T01:39:19.240554Z", "created_at": "2024-08-30T01:38:40.515000Z", "data_removed": false, "error": null, "id": "dgevxzj30drm60chm3qr3cmycc", "input": { "model": "dev", "prompt": "band playing, 70s, in the style of S7NTY", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }, "logs": "Using seed: 52870\nPrompt: band playing, 70s, in the style of S7NTY\ntxt2img mode\nUsing dev model\nLoaded LoRAs in 12.67s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.69it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.24it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.97it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.85it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.79it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.75it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.73it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.71it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.70it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.69it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.69it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.68it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.68it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.68it/s]\n 54%|█████▎ | 15/28 [00:04<00:03, 3.68it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.68it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.68it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.68it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.68it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.68it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.68it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.68it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.68it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.68it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.68it/s]\n 93%|█████████▎| 26/28 [00:07<00:00, 3.68it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.68it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.68it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.71it/s]", "metrics": { "predict_time": 20.681458604, "total_time": 38.725554 }, "output": [ "https://replicate.delivery/yhqm/Ia2zJi6x9LqsJpNDZvyncQVJAL5BYemDglrV3xZRRJ0jp2rJA/out-0.jpg" ], "started_at": "2024-08-30T01:38:58.559095Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/dgevxzj30drm60chm3qr3cmycc", "cancel": "https://api.replicate.com/v1/predictions/dgevxzj30drm60chm3qr3cmycc/cancel" }, "version": "acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2" }Generated inUsing seed: 52870 Prompt: band playing, 70s, in the style of S7NTY txt2img mode Using dev model Loaded LoRAs in 12.67s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.69it/s] 7%|▋ | 2/28 [00:00<00:06, 4.24it/s] 11%|█ | 3/28 [00:00<00:06, 3.97it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.85it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.79it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.75it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.73it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.71it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.70it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.69it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.69it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.68it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.68it/s] 50%|█████ | 14/28 [00:03<00:03, 3.68it/s] 54%|█████▎ | 15/28 [00:04<00:03, 3.68it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.68it/s] 61%|██████ | 17/28 [00:04<00:02, 3.68it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.68it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.68it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.68it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.68it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.68it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.68it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.68it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.68it/s] 93%|█████████▎| 26/28 [00:07<00:00, 3.68it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.68it/s] 100%|██████████| 28/28 [00:07<00:00, 3.68it/s] 100%|██████████| 28/28 [00:07<00:00, 3.71it/s]Prediction
derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2IDsda937gyk9rm20chm3rvsyf1xcStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- band playing, 70s, in the style of S7NTY
- lora_scale
- 0.71
- num_outputs
- 1
- aspect_ratio
- 5:4
- output_format
- jpg
- guidance_scale
- 3.5
- output_quality
- 80
- extra_lora_scale
- 0.8
- num_inference_steps
- 28
{ "model": "dev", "prompt": "band playing, 70s, in the style of S7NTY", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run derrrick/flux-70s-bands using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", { input: { model: "dev", prompt: "band playing, 70s, in the style of S7NTY", lora_scale: 0.71, num_outputs: 1, aspect_ratio: "5:4", output_format: "jpg", guidance_scale: 3.5, output_quality: 80, extra_lora_scale: 0.8, num_inference_steps: 28 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun derrrick/flux-70s-bands using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", input={ "model": "dev", "prompt": "band playing, 70s, in the style of S7NTY", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "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 derrrick/flux-70s-bands 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": "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", "input": { "model": "dev", "prompt": "band playing, 70s, in the style of S7NTY", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-30T01:42:40.366349Z", "created_at": "2024-08-30T01:40:42.266000Z", "data_removed": false, "error": null, "id": "sda937gyk9rm20chm3rvsyf1xc", "input": { "model": "dev", "prompt": "band playing, 70s, in the style of S7NTY", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }, "logs": "Using seed: 39146\nPrompt: band playing, 70s, in the style of S7NTY\ntxt2img mode\nUsing dev model\nLoaded LoRAs in 11.21s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.73it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.16it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.95it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.86it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.81it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.75it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.74it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.73it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.70it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.70it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.72it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.72it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.70it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.73it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 3.74it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.73it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.73it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.73it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.73it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.72it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.72it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.73it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.73it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.73it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.73it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.73it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.73it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.73it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.74it/s]", "metrics": { "predict_time": 19.12387215, "total_time": 118.100349 }, "output": [ "https://replicate.delivery/yhqm/FA0GQwUIeNUMO6O8faVCGhFJ0hDsS663LP8uL3fIdPrhsavmA/out-0.jpg" ], "started_at": "2024-08-30T01:42:21.242477Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/sda937gyk9rm20chm3rvsyf1xc", "cancel": "https://api.replicate.com/v1/predictions/sda937gyk9rm20chm3rvsyf1xc/cancel" }, "version": "acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2" }Generated inUsing seed: 39146 Prompt: band playing, 70s, in the style of S7NTY txt2img mode Using dev model Loaded LoRAs in 11.21s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.73it/s] 7%|▋ | 2/28 [00:00<00:06, 4.16it/s] 11%|█ | 3/28 [00:00<00:06, 3.95it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.86it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.81it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.75it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.74it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.73it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.70it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.70it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.72it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.72it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.70it/s] 50%|█████ | 14/28 [00:03<00:03, 3.73it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.74it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.73it/s] 61%|██████ | 17/28 [00:04<00:02, 3.73it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.73it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.73it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.72it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.72it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.73it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.73it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.73it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.73it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.73it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.73it/s] 100%|██████████| 28/28 [00:07<00:00, 3.73it/s] 100%|██████████| 28/28 [00:07<00:00, 3.74it/s]Prediction
derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2IDhg210d1aexrm00chm3vbf37e1gStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- portrait of 70s woman in the style of S7NTY
- lora_scale
- 0.71
- num_outputs
- 1
- aspect_ratio
- 5:4
- output_format
- jpg
- guidance_scale
- 3.5
- output_quality
- 80
- extra_lora_scale
- 0.8
- num_inference_steps
- 28
{ "model": "dev", "prompt": "portrait of 70s woman in the style of S7NTY", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run derrrick/flux-70s-bands using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", { input: { model: "dev", prompt: "portrait of 70s woman in the style of S7NTY", lora_scale: 0.71, num_outputs: 1, aspect_ratio: "5:4", output_format: "jpg", guidance_scale: 3.5, output_quality: 80, extra_lora_scale: 0.8, num_inference_steps: 28 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun derrrick/flux-70s-bands using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", input={ "model": "dev", "prompt": "portrait of 70s woman in the style of S7NTY", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "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 derrrick/flux-70s-bands 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": "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", "input": { "model": "dev", "prompt": "portrait of 70s woman in the style of S7NTY", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-30T01:46:39.578712Z", "created_at": "2024-08-30T01:46:12.983000Z", "data_removed": false, "error": null, "id": "hg210d1aexrm00chm3vbf37e1g", "input": { "model": "dev", "prompt": "portrait of 70s woman in the style of S7NTY", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }, "logs": "Using seed: 37980\nPrompt: portrait of 70s woman in the style of S7NTY\ntxt2img mode\nUsing dev model\nLoaded LoRAs in 12.96s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.72it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.15it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.95it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.87it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.81it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.78it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.77it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.76it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.74it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.74it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.74it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.74it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.73it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.73it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 3.73it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.73it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.72it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.72it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.73it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.73it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.73it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.73it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.73it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.73it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.73it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.72it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.73it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.73it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.75it/s]", "metrics": { "predict_time": 20.885832109, "total_time": 26.595712 }, "output": [ "https://replicate.delivery/yhqm/3qwuP6c3eXQ8GCgyU43BwjaNCN7iR5xFVw27vkdM1hvfZtXTA/out-0.jpg" ], "started_at": "2024-08-30T01:46:18.692880Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/hg210d1aexrm00chm3vbf37e1g", "cancel": "https://api.replicate.com/v1/predictions/hg210d1aexrm00chm3vbf37e1g/cancel" }, "version": "acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2" }Generated inUsing seed: 37980 Prompt: portrait of 70s woman in the style of S7NTY txt2img mode Using dev model Loaded LoRAs in 12.96s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.72it/s] 7%|▋ | 2/28 [00:00<00:06, 4.15it/s] 11%|█ | 3/28 [00:00<00:06, 3.95it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.87it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.81it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.78it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.77it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.76it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.74it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.74it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.74it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.74it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.73it/s] 50%|█████ | 14/28 [00:03<00:03, 3.73it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.73it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.73it/s] 61%|██████ | 17/28 [00:04<00:02, 3.72it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.72it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.73it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.73it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.73it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.73it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.73it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.73it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.73it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.72it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.73it/s] 100%|██████████| 28/28 [00:07<00:00, 3.73it/s] 100%|██████████| 28/28 [00:07<00:00, 3.75it/s]Prediction
derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2IDezkvy3ycthrm40chm3v869w3pgStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- close up of a mans mustache in the style of S7NTY
- lora_scale
- 0.71
- num_outputs
- 1
- aspect_ratio
- 5:4
- output_format
- jpg
- guidance_scale
- 3.5
- output_quality
- 80
- extra_lora_scale
- 0.8
- num_inference_steps
- 28
{ "model": "dev", "prompt": "close up of a mans mustache in the style of S7NTY", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run derrrick/flux-70s-bands using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", { input: { model: "dev", prompt: "close up of a mans mustache in the style of S7NTY", lora_scale: 0.71, num_outputs: 1, aspect_ratio: "5:4", output_format: "jpg", guidance_scale: 3.5, output_quality: 80, extra_lora_scale: 0.8, num_inference_steps: 28 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun derrrick/flux-70s-bands using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", input={ "model": "dev", "prompt": "close up of a mans mustache in the style of S7NTY", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "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 derrrick/flux-70s-bands 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": "derrrick/flux-70s-bands:acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2", "input": { "model": "dev", "prompt": "close up of a mans mustache in the style of S7NTY", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-30T01:47:16.176162Z", "created_at": "2024-08-30T01:46:54.548000Z", "data_removed": false, "error": null, "id": "ezkvy3ycthrm40chm3v869w3pg", "input": { "model": "dev", "prompt": "close up of a mans mustache in the style of S7NTY", "lora_scale": 0.71, "num_outputs": 1, "aspect_ratio": "5:4", "output_format": "jpg", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 28 }, "logs": "Using seed: 42172\nPrompt: close up of a mans mustache in the style of S7NTY\ntxt2img mode\nUsing dev model\nLoaded LoRAs in 13.28s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.72it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.15it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.95it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.86it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.82it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.80it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.78it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.77it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.75it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.75it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.75it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.74it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.74it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.74it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 3.73it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.74it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.73it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.74it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.74it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.74it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.74it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.74it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.71it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.71it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.72it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.72it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.73it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.73it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.76it/s]", "metrics": { "predict_time": 21.198243095, "total_time": 21.628162 }, "output": [ "https://replicate.delivery/yhqm/1h3PO7e51DxrCqx6glzb3D3W9fY88eHt3VyulOatYOFI1avmA/out-0.jpg" ], "started_at": "2024-08-30T01:46:54.977919Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/ezkvy3ycthrm40chm3v869w3pg", "cancel": "https://api.replicate.com/v1/predictions/ezkvy3ycthrm40chm3v869w3pg/cancel" }, "version": "acc8b03fc1dd14ffc7d7e46a7b095023ba78b8e5d792e685cb52a1b10292ced2" }Generated inUsing seed: 42172 Prompt: close up of a mans mustache in the style of S7NTY txt2img mode Using dev model Loaded LoRAs in 13.28s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.72it/s] 7%|▋ | 2/28 [00:00<00:06, 4.15it/s] 11%|█ | 3/28 [00:00<00:06, 3.95it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.86it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.82it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.80it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.78it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.77it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.75it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.75it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.75it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.74it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.74it/s] 50%|█████ | 14/28 [00:03<00:03, 3.74it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.73it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.74it/s] 61%|██████ | 17/28 [00:04<00:02, 3.73it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.74it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.74it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.74it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.74it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.74it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.71it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.71it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.72it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.72it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.73it/s] 100%|██████████| 28/28 [00:07<00:00, 3.73it/s] 100%|██████████| 28/28 [00:07<00:00, 3.76it/s]
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