ludocomito
/
flux-caravaggio
- Public
- 131 runs
-
H100
Prediction
ludocomito/flux-caravaggio:383a996094f5f49f068fc12a10d3d3ed9e64df91ad967747e058013947602521ID7dh3b7n9mhrm00chhfc8z6gvq0StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- Painting of a couple man and woman dancing in a room with a window shading light, dramatic emphasize lights and shadows in the style of CARAVAGGIO
- lora_scale
- 1
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- extra_lora_scale
- 0.8
- num_inference_steps
- 45
{ "model": "dev", "prompt": "Painting of a couple man and woman dancing in a room with a window shading light, dramatic emphasize lights and shadows in the style of CARAVAGGIO", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 45 }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 ludocomito/flux-caravaggio using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "ludocomito/flux-caravaggio:383a996094f5f49f068fc12a10d3d3ed9e64df91ad967747e058013947602521", { input: { model: "dev", prompt: "Painting of a couple man and woman dancing in a room with a window shading light, dramatic emphasize lights and shadows in the style of CARAVAGGIO", lora_scale: 1, num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, extra_lora_scale: 0.8, num_inference_steps: 45 } } ); // 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 ludocomito/flux-caravaggio using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "ludocomito/flux-caravaggio:383a996094f5f49f068fc12a10d3d3ed9e64df91ad967747e058013947602521", input={ "model": "dev", "prompt": "Painting of a couple man and woman dancing in a room with a window shading light, dramatic emphasize lights and shadows in the style of CARAVAGGIO", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 45 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run ludocomito/flux-caravaggio 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": "ludocomito/flux-caravaggio:383a996094f5f49f068fc12a10d3d3ed9e64df91ad967747e058013947602521", "input": { "model": "dev", "prompt": "Painting of a couple man and woman dancing in a room with a window shading light, dramatic emphasize lights and shadows in the style of CARAVAGGIO", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 45 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-25T23:22:10.674751Z", "created_at": "2024-08-25T23:21:57.924000Z", "data_removed": false, "error": null, "id": "7dh3b7n9mhrm00chhfc8z6gvq0", "input": { "model": "dev", "prompt": "Painting of a couple man and woman dancing in a room with a window shading light, dramatic emphasize lights and shadows in the style of CARAVAGGIO", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 45 }, "logs": "Using seed: 47295\nPrompt: Painting of a couple man and woman dancing in a room with a window shading light, dramatic emphasize lights and shadows in the style of CARAVAGGIO\ntxt2img mode\nUsing dev model\nWeights already loaded\nLoaded LoRAs in 0.04s\n 0%| | 0/45 [00:00<?, ?it/s]\n 2%|▏ | 1/45 [00:00<00:11, 3.68it/s]\n 4%|▍ | 2/45 [00:00<00:10, 4.23it/s]\n 7%|▋ | 3/45 [00:00<00:10, 3.96it/s]\n 9%|▉ | 4/45 [00:01<00:10, 3.85it/s]\n 11%|█ | 5/45 [00:01<00:10, 3.79it/s]\n 13%|█▎ | 6/45 [00:01<00:10, 3.75it/s]\n 16%|█▌ | 7/45 [00:01<00:10, 3.73it/s]\n 18%|█▊ | 8/45 [00:02<00:09, 3.71it/s]\n 20%|██ | 9/45 [00:02<00:09, 3.70it/s]\n 22%|██▏ | 10/45 [00:02<00:09, 3.69it/s]\n 24%|██▍ | 11/45 [00:02<00:09, 3.69it/s]\n 27%|██▋ | 12/45 [00:03<00:08, 3.69it/s]\n 29%|██▉ | 13/45 [00:03<00:08, 3.68it/s]\n 31%|███ | 14/45 [00:03<00:08, 3.68it/s]\n 33%|███▎ | 15/45 [00:04<00:08, 3.68it/s]\n 36%|███▌ | 16/45 [00:04<00:07, 3.68it/s]\n 38%|███▊ | 17/45 [00:04<00:07, 3.68it/s]\n 40%|████ | 18/45 [00:04<00:07, 3.68it/s]\n 42%|████▏ | 19/45 [00:05<00:07, 3.68it/s]\n 44%|████▍ | 20/45 [00:05<00:06, 3.68it/s]\n 47%|████▋ | 21/45 [00:05<00:06, 3.68it/s]\n 49%|████▉ | 22/45 [00:05<00:06, 3.68it/s]\n 51%|█████ | 23/45 [00:06<00:05, 3.68it/s]\n 53%|█████▎ | 24/45 [00:06<00:05, 3.68it/s]\n 56%|█████▌ | 25/45 [00:06<00:05, 3.68it/s]\n 58%|█████▊ | 26/45 [00:07<00:05, 3.68it/s]\n 60%|██████ | 27/45 [00:07<00:04, 3.68it/s]\n 62%|██████▏ | 28/45 [00:07<00:04, 3.68it/s]\n 64%|██████▍ | 29/45 [00:07<00:04, 3.68it/s]\n 67%|██████▋ | 30/45 [00:08<00:04, 3.68it/s]\n 69%|██████▉ | 31/45 [00:08<00:03, 3.68it/s]\n 71%|███████ | 32/45 [00:08<00:03, 3.68it/s]\n 73%|███████▎ | 33/45 [00:08<00:03, 3.68it/s]\n 76%|███████▌ | 34/45 [00:09<00:02, 3.68it/s]\n 78%|███████▊ | 35/45 [00:09<00:02, 3.68it/s]\n 80%|████████ | 36/45 [00:09<00:02, 3.68it/s]\n 82%|████████▏ | 37/45 [00:09<00:02, 3.68it/s]\n 84%|████████▍ | 38/45 [00:10<00:01, 3.68it/s]\n 87%|████████▋ | 39/45 [00:10<00:01, 3.68it/s]\n 89%|████████▉ | 40/45 [00:10<00:01, 3.68it/s]\n 91%|█████████ | 41/45 [00:11<00:01, 3.68it/s]\n 93%|█████████▎| 42/45 [00:11<00:00, 3.67it/s]\n 96%|█████████▌| 43/45 [00:11<00:00, 3.68it/s]\n 98%|█████████▊| 44/45 [00:11<00:00, 3.68it/s]\n100%|██████████| 45/45 [00:12<00:00, 3.68it/s]\n100%|██████████| 45/45 [00:12<00:00, 3.70it/s]", "metrics": { "predict_time": 12.740603896, "total_time": 12.750751 }, "output": [ "https://replicate.delivery/yhqm/dv8ynzli9kICA9UszgrhPs1gheTJMBvI8y1xBVGeYfxE1tsmA/out-0.webp" ], "started_at": "2024-08-25T23:21:57.934147Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/7dh3b7n9mhrm00chhfc8z6gvq0", "cancel": "https://api.replicate.com/v1/predictions/7dh3b7n9mhrm00chhfc8z6gvq0/cancel" }, "version": "383a996094f5f49f068fc12a10d3d3ed9e64df91ad967747e058013947602521" }Generated inUsing seed: 47295 Prompt: Painting of a couple man and woman dancing in a room with a window shading light, dramatic emphasize lights and shadows in the style of CARAVAGGIO txt2img mode Using dev model Weights already loaded Loaded LoRAs in 0.04s 0%| | 0/45 [00:00<?, ?it/s] 2%|▏ | 1/45 [00:00<00:11, 3.68it/s] 4%|▍ | 2/45 [00:00<00:10, 4.23it/s] 7%|▋ | 3/45 [00:00<00:10, 3.96it/s] 9%|▉ | 4/45 [00:01<00:10, 3.85it/s] 11%|█ | 5/45 [00:01<00:10, 3.79it/s] 13%|█▎ | 6/45 [00:01<00:10, 3.75it/s] 16%|█▌ | 7/45 [00:01<00:10, 3.73it/s] 18%|█▊ | 8/45 [00:02<00:09, 3.71it/s] 20%|██ | 9/45 [00:02<00:09, 3.70it/s] 22%|██▏ | 10/45 [00:02<00:09, 3.69it/s] 24%|██▍ | 11/45 [00:02<00:09, 3.69it/s] 27%|██▋ | 12/45 [00:03<00:08, 3.69it/s] 29%|██▉ | 13/45 [00:03<00:08, 3.68it/s] 31%|███ | 14/45 [00:03<00:08, 3.68it/s] 33%|███▎ | 15/45 [00:04<00:08, 3.68it/s] 36%|███▌ | 16/45 [00:04<00:07, 3.68it/s] 38%|███▊ | 17/45 [00:04<00:07, 3.68it/s] 40%|████ | 18/45 [00:04<00:07, 3.68it/s] 42%|████▏ | 19/45 [00:05<00:07, 3.68it/s] 44%|████▍ | 20/45 [00:05<00:06, 3.68it/s] 47%|████▋ | 21/45 [00:05<00:06, 3.68it/s] 49%|████▉ | 22/45 [00:05<00:06, 3.68it/s] 51%|█████ | 23/45 [00:06<00:05, 3.68it/s] 53%|█████▎ | 24/45 [00:06<00:05, 3.68it/s] 56%|█████▌ | 25/45 [00:06<00:05, 3.68it/s] 58%|█████▊ | 26/45 [00:07<00:05, 3.68it/s] 60%|██████ | 27/45 [00:07<00:04, 3.68it/s] 62%|██████▏ | 28/45 [00:07<00:04, 3.68it/s] 64%|██████▍ | 29/45 [00:07<00:04, 3.68it/s] 67%|██████▋ | 30/45 [00:08<00:04, 3.68it/s] 69%|██████▉ | 31/45 [00:08<00:03, 3.68it/s] 71%|███████ | 32/45 [00:08<00:03, 3.68it/s] 73%|███████▎ | 33/45 [00:08<00:03, 3.68it/s] 76%|███████▌ | 34/45 [00:09<00:02, 3.68it/s] 78%|███████▊ | 35/45 [00:09<00:02, 3.68it/s] 80%|████████ | 36/45 [00:09<00:02, 3.68it/s] 82%|████████▏ | 37/45 [00:09<00:02, 3.68it/s] 84%|████████▍ | 38/45 [00:10<00:01, 3.68it/s] 87%|████████▋ | 39/45 [00:10<00:01, 3.68it/s] 89%|████████▉ | 40/45 [00:10<00:01, 3.68it/s] 91%|█████████ | 41/45 [00:11<00:01, 3.68it/s] 93%|█████████▎| 42/45 [00:11<00:00, 3.67it/s] 96%|█████████▌| 43/45 [00:11<00:00, 3.68it/s] 98%|█████████▊| 44/45 [00:11<00:00, 3.68it/s] 100%|██████████| 45/45 [00:12<00:00, 3.68it/s] 100%|██████████| 45/45 [00:12<00:00, 3.70it/s]Prediction
ludocomito/flux-caravaggio:383a996094f5f49f068fc12a10d3d3ed9e64df91ad967747e058013947602521IDmxrhyg6ggnrm20chhy9bw5g608StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- Painting of a man screaming in pain while being skewered by a sword. Dramatic, emphasize lights and shadows in the style of CARAVAGGIO
- lora_scale
- 1
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- extra_lora_scale
- 0.8
- num_inference_steps
- 40
{ "model": "dev", "prompt": "Painting of a man screaming in pain while being skewered by a sword. Dramatic, emphasize lights and shadows in the style of CARAVAGGIO", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 40 }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 ludocomito/flux-caravaggio using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "ludocomito/flux-caravaggio:383a996094f5f49f068fc12a10d3d3ed9e64df91ad967747e058013947602521", { input: { model: "dev", prompt: "Painting of a man screaming in pain while being skewered by a sword. Dramatic, emphasize lights and shadows in the style of CARAVAGGIO", lora_scale: 1, num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, extra_lora_scale: 0.8, num_inference_steps: 40 } } ); // 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 ludocomito/flux-caravaggio using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "ludocomito/flux-caravaggio:383a996094f5f49f068fc12a10d3d3ed9e64df91ad967747e058013947602521", input={ "model": "dev", "prompt": "Painting of a man screaming in pain while being skewered by a sword. Dramatic, emphasize lights and shadows in the style of CARAVAGGIO", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 40 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run ludocomito/flux-caravaggio 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": "ludocomito/flux-caravaggio:383a996094f5f49f068fc12a10d3d3ed9e64df91ad967747e058013947602521", "input": { "model": "dev", "prompt": "Painting of a man screaming in pain while being skewered by a sword. Dramatic, emphasize lights and shadows in the style of CARAVAGGIO", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 40 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-26T16:44:45.319729Z", "created_at": "2024-08-26T16:44:09.221000Z", "data_removed": false, "error": null, "id": "mxrhyg6ggnrm20chhy9bw5g608", "input": { "model": "dev", "prompt": "Painting of a man screaming in pain while being skewered by a sword. Dramatic, emphasize lights and shadows in the style of CARAVAGGIO", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "extra_lora_scale": 0.8, "num_inference_steps": 40 }, "logs": "Using seed: 55876\nPrompt: Painting of a man screaming in pain while being skewered by a sword. Dramatic, emphasize lights and shadows in the style of CARAVAGGIO\ntxt2img mode\nUsing dev model\nfree=9643509485568\nDownloading weights\n2024-08-26T16:44:23Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpsksd8_5m/weights url=https://replicate.delivery/yhqm/dvNf0YUlVyTLPamvIHNwsYB8D6V9wpmSg8x6msGeW2ffMPZNB/trained_model.tar\n2024-08-26T16:44:25Z | INFO | [ Complete ] dest=/tmp/tmpsksd8_5m/weights size=\"172 MB\" total_elapsed=2.440s url=https://replicate.delivery/yhqm/dvNf0YUlVyTLPamvIHNwsYB8D6V9wpmSg8x6msGeW2ffMPZNB/trained_model.tar\nDownloaded weights in 2.48s\nLoaded LoRAs in 10.50s\n 0%| | 0/40 [00:00<?, ?it/s]\n 2%|▎ | 1/40 [00:00<00:10, 3.69it/s]\n 5%|▌ | 2/40 [00:00<00:08, 4.24it/s]\n 8%|▊ | 3/40 [00:00<00:09, 3.97it/s]\n 10%|█ | 4/40 [00:01<00:09, 3.85it/s]\n 12%|█▎ | 5/40 [00:01<00:09, 3.79it/s]\n 15%|█▌ | 6/40 [00:01<00:09, 3.76it/s]\n 18%|█▊ | 7/40 [00:01<00:08, 3.73it/s]\n 20%|██ | 8/40 [00:02<00:08, 3.72it/s]\n 22%|██▎ | 9/40 [00:02<00:08, 3.71it/s]\n 25%|██▌ | 10/40 [00:02<00:08, 3.70it/s]\n 28%|██▊ | 11/40 [00:02<00:07, 3.70it/s]\n 30%|███ | 12/40 [00:03<00:07, 3.70it/s]\n 32%|███▎ | 13/40 [00:03<00:07, 3.69it/s]\n 35%|███▌ | 14/40 [00:03<00:07, 3.69it/s]\n 38%|███▊ | 15/40 [00:04<00:06, 3.69it/s]\n 40%|████ | 16/40 [00:04<00:06, 3.69it/s]\n 42%|████▎ | 17/40 [00:04<00:06, 3.69it/s]\n 45%|████▌ | 18/40 [00:04<00:05, 3.69it/s]\n 48%|████▊ | 19/40 [00:05<00:05, 3.68it/s]\n 50%|█████ | 20/40 [00:05<00:05, 3.68it/s]\n 52%|█████▎ | 21/40 [00:05<00:05, 3.68it/s]\n 55%|█████▌ | 22/40 [00:05<00:04, 3.68it/s]\n 57%|█████▊ | 23/40 [00:06<00:04, 3.68it/s]\n 60%|██████ | 24/40 [00:06<00:04, 3.67it/s]\n 62%|██████▎ | 25/40 [00:06<00:04, 3.68it/s]\n 65%|██████▌ | 26/40 [00:06<00:03, 3.68it/s]\n 68%|██████▊ | 27/40 [00:07<00:03, 3.68it/s]\n 70%|███████ | 28/40 [00:07<00:03, 3.68it/s]\n 72%|███████▎ | 29/40 [00:07<00:02, 3.68it/s]\n 75%|███████▌ | 30/40 [00:08<00:02, 3.68it/s]\n 78%|███████▊ | 31/40 [00:08<00:02, 3.68it/s]\n 80%|████████ | 32/40 [00:08<00:02, 3.68it/s]\n 82%|████████▎ | 33/40 [00:08<00:01, 3.68it/s]\n 85%|████████▌ | 34/40 [00:09<00:01, 3.68it/s]\n 88%|████████▊ | 35/40 [00:09<00:01, 3.69it/s]\n 90%|█████████ | 36/40 [00:09<00:01, 3.68it/s]\n 92%|█████████▎| 37/40 [00:09<00:00, 3.68it/s]\n 95%|█████████▌| 38/40 [00:10<00:00, 3.68it/s]\n 98%|█████████▊| 39/40 [00:10<00:00, 3.68it/s]\n100%|██████████| 40/40 [00:10<00:00, 3.68it/s]\n100%|██████████| 40/40 [00:10<00:00, 3.70it/s]", "metrics": { "predict_time": 21.851536762, "total_time": 36.098729 }, "output": [ "https://replicate.delivery/yhqm/geWLJvBC54QpASjivfLLoWd8bjfnsTzRY3b8TuYYAeT0vYaNB/out-0.webp" ], "started_at": "2024-08-26T16:44:23.468192Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/mxrhyg6ggnrm20chhy9bw5g608", "cancel": "https://api.replicate.com/v1/predictions/mxrhyg6ggnrm20chhy9bw5g608/cancel" }, "version": "383a996094f5f49f068fc12a10d3d3ed9e64df91ad967747e058013947602521" }Generated inUsing seed: 55876 Prompt: Painting of a man screaming in pain while being skewered by a sword. Dramatic, emphasize lights and shadows in the style of CARAVAGGIO txt2img mode Using dev model free=9643509485568 Downloading weights 2024-08-26T16:44:23Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpsksd8_5m/weights url=https://replicate.delivery/yhqm/dvNf0YUlVyTLPamvIHNwsYB8D6V9wpmSg8x6msGeW2ffMPZNB/trained_model.tar 2024-08-26T16:44:25Z | INFO | [ Complete ] dest=/tmp/tmpsksd8_5m/weights size="172 MB" total_elapsed=2.440s url=https://replicate.delivery/yhqm/dvNf0YUlVyTLPamvIHNwsYB8D6V9wpmSg8x6msGeW2ffMPZNB/trained_model.tar Downloaded weights in 2.48s Loaded LoRAs in 10.50s 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:10, 3.69it/s] 5%|▌ | 2/40 [00:00<00:08, 4.24it/s] 8%|▊ | 3/40 [00:00<00:09, 3.97it/s] 10%|█ | 4/40 [00:01<00:09, 3.85it/s] 12%|█▎ | 5/40 [00:01<00:09, 3.79it/s] 15%|█▌ | 6/40 [00:01<00:09, 3.76it/s] 18%|█▊ | 7/40 [00:01<00:08, 3.73it/s] 20%|██ | 8/40 [00:02<00:08, 3.72it/s] 22%|██▎ | 9/40 [00:02<00:08, 3.71it/s] 25%|██▌ | 10/40 [00:02<00:08, 3.70it/s] 28%|██▊ | 11/40 [00:02<00:07, 3.70it/s] 30%|███ | 12/40 [00:03<00:07, 3.70it/s] 32%|███▎ | 13/40 [00:03<00:07, 3.69it/s] 35%|███▌ | 14/40 [00:03<00:07, 3.69it/s] 38%|███▊ | 15/40 [00:04<00:06, 3.69it/s] 40%|████ | 16/40 [00:04<00:06, 3.69it/s] 42%|████▎ | 17/40 [00:04<00:06, 3.69it/s] 45%|████▌ | 18/40 [00:04<00:05, 3.69it/s] 48%|████▊ | 19/40 [00:05<00:05, 3.68it/s] 50%|█████ | 20/40 [00:05<00:05, 3.68it/s] 52%|█████▎ | 21/40 [00:05<00:05, 3.68it/s] 55%|█████▌ | 22/40 [00:05<00:04, 3.68it/s] 57%|█████▊ | 23/40 [00:06<00:04, 3.68it/s] 60%|██████ | 24/40 [00:06<00:04, 3.67it/s] 62%|██████▎ | 25/40 [00:06<00:04, 3.68it/s] 65%|██████▌ | 26/40 [00:06<00:03, 3.68it/s] 68%|██████▊ | 27/40 [00:07<00:03, 3.68it/s] 70%|███████ | 28/40 [00:07<00:03, 3.68it/s] 72%|███████▎ | 29/40 [00:07<00:02, 3.68it/s] 75%|███████▌ | 30/40 [00:08<00:02, 3.68it/s] 78%|███████▊ | 31/40 [00:08<00:02, 3.68it/s] 80%|████████ | 32/40 [00:08<00:02, 3.68it/s] 82%|████████▎ | 33/40 [00:08<00:01, 3.68it/s] 85%|████████▌ | 34/40 [00:09<00:01, 3.68it/s] 88%|████████▊ | 35/40 [00:09<00:01, 3.69it/s] 90%|█████████ | 36/40 [00:09<00:01, 3.68it/s] 92%|█████████▎| 37/40 [00:09<00:00, 3.68it/s] 95%|█████████▌| 38/40 [00:10<00:00, 3.68it/s] 98%|█████████▊| 39/40 [00:10<00:00, 3.68it/s] 100%|██████████| 40/40 [00:10<00:00, 3.68it/s] 100%|██████████| 40/40 [00:10<00:00, 3.70it/s]
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