0xdeadd
/
flux-your-model-name
A fine-tuned FLUX.1 model
- Public
- 116 runs
-
H100
Prediction
0xdeadd/flux-your-model-name:f57dfe054a3877003ffe8009426ac0fe0c7caa55ad9bd8c34fa6e2a08b263cf8ID4g2snhx4sdrm40chnb1bxakp44StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- width
- 1408
- prompt
- A portrait of an oil sheik in Saudi Arabia, dressed in traditional robes and a flowing turban, standing confidently in front of a massive oil field with towering oil rigs in the background. The sheik is holding a golden briefcase overflowing with bundles of Saudi Riyals, while a Koenigsegg Regera and a pet falcon perched on his shoulder add to the extravagant scene. The backdrop features a desert sunset, with camels walking by and distant city skyscrapers gleaming in the horizon.
- 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
- 28
{ "model": "dev", "width": 1408, "prompt": "A portrait of an oil sheik in Saudi Arabia, dressed in traditional robes and a flowing turban, standing confidently in front of a massive oil field with towering oil rigs in the background. The sheik is holding a golden briefcase overflowing with bundles of Saudi Riyals, while a Koenigsegg Regera and a pet falcon perched on his shoulder add to the extravagant scene. The backdrop features a desert sunset, with camels walking by and distant city skyscrapers gleaming in the horizon.", "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": 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 0xdeadd/flux-your-model-name using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "0xdeadd/flux-your-model-name:f57dfe054a3877003ffe8009426ac0fe0c7caa55ad9bd8c34fa6e2a08b263cf8", { input: { model: "dev", width: 1408, prompt: "A portrait of an oil sheik in Saudi Arabia, dressed in traditional robes and a flowing turban, standing confidently in front of a massive oil field with towering oil rigs in the background. The sheik is holding a golden briefcase overflowing with bundles of Saudi Riyals, while a Koenigsegg Regera and a pet falcon perched on his shoulder add to the extravagant scene. The backdrop features a desert sunset, with camels walking by and distant city skyscrapers gleaming in the horizon.", 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: 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 0xdeadd/flux-your-model-name using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "0xdeadd/flux-your-model-name:f57dfe054a3877003ffe8009426ac0fe0c7caa55ad9bd8c34fa6e2a08b263cf8", input={ "model": "dev", "width": 1408, "prompt": "A portrait of an oil sheik in Saudi Arabia, dressed in traditional robes and a flowing turban, standing confidently in front of a massive oil field with towering oil rigs in the background. The sheik is holding a golden briefcase overflowing with bundles of Saudi Riyals, while a Koenigsegg Regera and a pet falcon perched on his shoulder add to the extravagant scene. The backdrop features a desert sunset, with camels walking by and distant city skyscrapers gleaming in the horizon.", "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": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run 0xdeadd/flux-your-model-name 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": "f57dfe054a3877003ffe8009426ac0fe0c7caa55ad9bd8c34fa6e2a08b263cf8", "input": { "model": "dev", "width": 1408, "prompt": "A portrait of an oil sheik in Saudi Arabia, dressed in traditional robes and a flowing turban, standing confidently in front of a massive oil field with towering oil rigs in the background. The sheik is holding a golden briefcase overflowing with bundles of Saudi Riyals, while a Koenigsegg Regera and a pet falcon perched on his shoulder add to the extravagant scene. The backdrop features a desert sunset, with camels walking by and distant city skyscrapers gleaming in the horizon.", "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": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-31T23:27:38.241623Z", "created_at": "2024-08-31T23:26:08.587000Z", "data_removed": false, "error": null, "id": "4g2snhx4sdrm40chnb1bxakp44", "input": { "model": "dev", "width": 1408, "prompt": "A portrait of an oil sheik in Saudi Arabia, dressed in traditional robes and a flowing turban, standing confidently in front of a massive oil field with towering oil rigs in the background. The sheik is holding a golden briefcase overflowing with bundles of Saudi Riyals, while a Koenigsegg Regera and a pet falcon perched on his shoulder add to the extravagant scene. The backdrop features a desert sunset, with camels walking by and distant city skyscrapers gleaming in the horizon.", "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": 28 }, "logs": "Using seed: 4649\nPrompt: A portrait of an oil sheik in Saudi Arabia, dressed in traditional robes and a flowing turban, standing confidently in front of a massive oil field with towering oil rigs in the background. The sheik is holding a golden briefcase overflowing with bundles of Saudi Riyals, while a Koenigsegg Regera and a pet falcon perched on his shoulder add to the extravagant scene. The backdrop features a desert sunset, with camels walking by and distant city skyscrapers gleaming in the horizon.\ntxt2img mode\nUsing dev model\nfree=9427848294400\nDownloading weights\n2024-08-31T23:26:08Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmprpdf_nmg/weights url=https://replicate.delivery/yhqm/zu6wcT7Qbi71O9fGHS0kfaakS510kAQTeSy89t7lBkkKDIwmA/trained_model.tar\n2024-08-31T23:26:11Z | INFO | [ Complete ] dest=/tmp/tmprpdf_nmg/weights size=\"172 MB\" total_elapsed=3.194s url=https://replicate.delivery/yhqm/zu6wcT7Qbi71O9fGHS0kfaakS510kAQTeSy89t7lBkkKDIwmA/trained_model.tar\nDownloaded weights in 3.22s\nLoaded LoRAs in 81.47s\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['extravagant scene. the backdrop features a desert sunset, with camels walking by and distant city skyscrapers gleaming in the horizon.']\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.65it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.19it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.92it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.81it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.76it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.72it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.69it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.68it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.68it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.66it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.66it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.66it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.66it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.65it/s]\n 54%|█████▎ | 15/28 [00:04<00:03, 3.65it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.65it/s]\n 61%|██████ | 17/28 [00:04<00:03, 3.66it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.65it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.65it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.65it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.66it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.65it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.65it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.65it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.65it/s]\n 93%|█████████▎| 26/28 [00:07<00:00, 3.65it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.64it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.65it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.68it/s]", "metrics": { "predict_time": 89.645901277, "total_time": 89.654623 }, "output": [ "https://replicate.delivery/yhqm/Q3DEeMVEKWwtEqOLwdjhe9fj2IANhH9RHeMhueaza8JVdsCbC/out-0.webp" ], "started_at": "2024-08-31T23:26:08.595721Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/4g2snhx4sdrm40chnb1bxakp44", "cancel": "https://api.replicate.com/v1/predictions/4g2snhx4sdrm40chnb1bxakp44/cancel" }, "version": "f57dfe054a3877003ffe8009426ac0fe0c7caa55ad9bd8c34fa6e2a08b263cf8" }Generated inUsing seed: 4649 Prompt: A portrait of an oil sheik in Saudi Arabia, dressed in traditional robes and a flowing turban, standing confidently in front of a massive oil field with towering oil rigs in the background. The sheik is holding a golden briefcase overflowing with bundles of Saudi Riyals, while a Koenigsegg Regera and a pet falcon perched on his shoulder add to the extravagant scene. The backdrop features a desert sunset, with camels walking by and distant city skyscrapers gleaming in the horizon. txt2img mode Using dev model free=9427848294400 Downloading weights 2024-08-31T23:26:08Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmprpdf_nmg/weights url=https://replicate.delivery/yhqm/zu6wcT7Qbi71O9fGHS0kfaakS510kAQTeSy89t7lBkkKDIwmA/trained_model.tar 2024-08-31T23:26:11Z | INFO | [ Complete ] dest=/tmp/tmprpdf_nmg/weights size="172 MB" total_elapsed=3.194s url=https://replicate.delivery/yhqm/zu6wcT7Qbi71O9fGHS0kfaakS510kAQTeSy89t7lBkkKDIwmA/trained_model.tar Downloaded weights in 3.22s Loaded LoRAs in 81.47s The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['extravagant scene. the backdrop features a desert sunset, with camels walking by and distant city skyscrapers gleaming in the horizon.'] 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.65it/s] 7%|▋ | 2/28 [00:00<00:06, 4.19it/s] 11%|█ | 3/28 [00:00<00:06, 3.92it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.81it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.76it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.72it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.69it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.68it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.68it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.66it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.66it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.66it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.66it/s] 50%|█████ | 14/28 [00:03<00:03, 3.65it/s] 54%|█████▎ | 15/28 [00:04<00:03, 3.65it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.65it/s] 61%|██████ | 17/28 [00:04<00:03, 3.66it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.65it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.65it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.65it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.66it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.65it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.65it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.65it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.65it/s] 93%|█████████▎| 26/28 [00:07<00:00, 3.65it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.64it/s] 100%|██████████| 28/28 [00:07<00:00, 3.65it/s] 100%|██████████| 28/28 [00:07<00:00, 3.68it/s]Prediction
0xdeadd/flux-your-model-name:f57dfe054a3877003ffe8009426ac0fe0c7caa55ad9bd8c34fa6e2a08b263cf8IDzh7m8pv96drm20chnc9swwajn0StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- width
- 1408
- prompt
- A portrait of a Walter White, dressed in his black hat. standing confidently in behind of a pile of his blue meth on a detailed golden table, while a Koenigsegg Regera add to the extravagant scene. The backdrop features an Albuquerque sunset and distant city skyscrapers gleaming in the horizon.
- 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
- 28
{ "model": "dev", "width": 1408, "prompt": "A portrait of a Walter White, dressed in his black hat. standing confidently in behind of a pile of his blue meth on a detailed golden table, while a Koenigsegg Regera add to the extravagant scene. The backdrop features an Albuquerque sunset and distant city skyscrapers gleaming in the horizon.", "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": 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 0xdeadd/flux-your-model-name using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "0xdeadd/flux-your-model-name:f57dfe054a3877003ffe8009426ac0fe0c7caa55ad9bd8c34fa6e2a08b263cf8", { input: { model: "dev", width: 1408, prompt: "A portrait of a Walter White, dressed in his black hat. standing confidently in behind of a pile of his blue meth on a detailed golden table, while a Koenigsegg Regera add to the extravagant scene. The backdrop features an Albuquerque sunset and distant city skyscrapers gleaming in the horizon.", 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: 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 0xdeadd/flux-your-model-name using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "0xdeadd/flux-your-model-name:f57dfe054a3877003ffe8009426ac0fe0c7caa55ad9bd8c34fa6e2a08b263cf8", input={ "model": "dev", "width": 1408, "prompt": "A portrait of a Walter White, dressed in his black hat. standing confidently in behind of a pile of his blue meth on a detailed golden table, while a Koenigsegg Regera add to the extravagant scene. The backdrop features an Albuquerque sunset and distant city skyscrapers gleaming in the horizon.", "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": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run 0xdeadd/flux-your-model-name 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": "f57dfe054a3877003ffe8009426ac0fe0c7caa55ad9bd8c34fa6e2a08b263cf8", "input": { "model": "dev", "width": 1408, "prompt": "A portrait of a Walter White, dressed in his black hat. standing confidently in behind of a pile of his blue meth on a detailed golden table, while a Koenigsegg Regera add to the extravagant scene. The backdrop features an Albuquerque sunset and distant city skyscrapers gleaming in the horizon.", "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": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-09-01T00:54:42.005923Z", "created_at": "2024-09-01T00:54:21.747000Z", "data_removed": false, "error": null, "id": "zh7m8pv96drm20chnc9swwajn0", "input": { "model": "dev", "width": 1408, "prompt": "A portrait of a Walter White, dressed in his black hat. standing confidently in behind of a pile of his blue meth on a detailed golden table, while a Koenigsegg Regera add to the extravagant scene. The backdrop features an Albuquerque sunset and distant city skyscrapers gleaming in the horizon.", "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": 28 }, "logs": "Using seed: 45718\nPrompt: A portrait of a Walter White, dressed in his black hat. standing confidently in behind of a pile of his blue meth on a detailed golden table, while a Koenigsegg Regera add to the extravagant scene. The backdrop features an Albuquerque sunset and distant city skyscrapers gleaming in the horizon.\ntxt2img mode\nUsing dev model\nfree=9904269668352\nDownloading weights\n2024-09-01T00:54:21Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpm8cqux_d/weights url=https://replicate.delivery/yhqm/zu6wcT7Qbi71O9fGHS0kfaakS510kAQTeSy89t7lBkkKDIwmA/trained_model.tar\n2024-09-01T00:54:24Z | INFO | [ Complete ] dest=/tmp/tmpm8cqux_d/weights size=\"172 MB\" total_elapsed=3.134s url=https://replicate.delivery/yhqm/zu6wcT7Qbi71O9fGHS0kfaakS510kAQTeSy89t7lBkkKDIwmA/trained_model.tar\nDownloaded weights in 3.16s\nLoaded LoRAs in 12.08s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.66it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.22it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.95it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.82it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.76it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.74it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.72it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.70it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.69it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.68it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.68it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.67it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.67it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.67it/s]\n 54%|█████▎ | 15/28 [00:04<00:03, 3.67it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.67it/s]\n 61%|██████ | 17/28 [00:04<00:03, 3.66it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.67it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.67it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.67it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.66it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.67it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.67it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.67it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.66it/s]\n 93%|█████████▎| 26/28 [00:07<00:00, 3.67it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.67it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.67it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.69it/s]", "metrics": { "predict_time": 20.245690465, "total_time": 20.258923 }, "output": [ "https://replicate.delivery/yhqm/OfwpI9wBuWRrNq2xNGFdzxGMfFkKR0zOZAl5alsZFdMR1WYTA/out-0.webp" ], "started_at": "2024-09-01T00:54:21.760232Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/zh7m8pv96drm20chnc9swwajn0", "cancel": "https://api.replicate.com/v1/predictions/zh7m8pv96drm20chnc9swwajn0/cancel" }, "version": "f57dfe054a3877003ffe8009426ac0fe0c7caa55ad9bd8c34fa6e2a08b263cf8" }Generated inUsing seed: 45718 Prompt: A portrait of a Walter White, dressed in his black hat. standing confidently in behind of a pile of his blue meth on a detailed golden table, while a Koenigsegg Regera add to the extravagant scene. The backdrop features an Albuquerque sunset and distant city skyscrapers gleaming in the horizon. txt2img mode Using dev model free=9904269668352 Downloading weights 2024-09-01T00:54:21Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpm8cqux_d/weights url=https://replicate.delivery/yhqm/zu6wcT7Qbi71O9fGHS0kfaakS510kAQTeSy89t7lBkkKDIwmA/trained_model.tar 2024-09-01T00:54:24Z | INFO | [ Complete ] dest=/tmp/tmpm8cqux_d/weights size="172 MB" total_elapsed=3.134s url=https://replicate.delivery/yhqm/zu6wcT7Qbi71O9fGHS0kfaakS510kAQTeSy89t7lBkkKDIwmA/trained_model.tar Downloaded weights in 3.16s Loaded LoRAs in 12.08s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.66it/s] 7%|▋ | 2/28 [00:00<00:06, 4.22it/s] 11%|█ | 3/28 [00:00<00:06, 3.95it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.82it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.76it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.74it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.72it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.70it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.69it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.68it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.68it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.67it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.67it/s] 50%|█████ | 14/28 [00:03<00:03, 3.67it/s] 54%|█████▎ | 15/28 [00:04<00:03, 3.67it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.67it/s] 61%|██████ | 17/28 [00:04<00:03, 3.66it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.67it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.67it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.67it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.66it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.67it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.67it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.67it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.66it/s] 93%|█████████▎| 26/28 [00:07<00:00, 3.67it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.67it/s] 100%|██████████| 28/28 [00:07<00:00, 3.67it/s] 100%|██████████| 28/28 [00:07<00:00, 3.69it/s]Prediction
0xdeadd/flux-your-model-name:f57dfe054a3877003ffe8009426ac0fe0c7caa55ad9bd8c34fa6e2a08b263cf8ID1gqfkc8rrnrm40chs459j0bdqrStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- Create an image of a cheerful, middle-aged Caucasian man driving a bright red pickup truck. The man has short, light brown hair, wears glasses, and is dressed in a red and white plaid shirt with blue suspenders. He smiles warmly while looking towards the viewer, giving a friendly, approachable vibe. The side of the truck features a political campaign sticker with a fictional candidate’s name, “Harris Walz 2024,” alongside the slogan “Choose Freedom” in a bold, patriotic design. The setting is a typical suburban street, hinting at a calm, everyday life moment with a touch of personal and political expression.
- lora_scale
- 1
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- prompt_strength
- 0.8
- extra_lora_scale
- 0.8
- num_inference_steps
- 28
{ "model": "dev", "prompt": "Create an image of a cheerful, middle-aged Caucasian man driving a bright red pickup truck. The man has short, light brown hair, wears glasses, and is dressed in a red and white plaid shirt with blue suspenders. He smiles warmly while looking towards the viewer, giving a friendly, approachable vibe. The side of the truck features a political campaign sticker with a fictional candidate’s name, “Harris Walz 2024,” alongside the slogan “Choose Freedom” in a bold, patriotic design. The setting is a typical suburban street, hinting at a calm, everyday life moment with a touch of personal and political expression.", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 0.8, "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 0xdeadd/flux-your-model-name using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "0xdeadd/flux-your-model-name:f57dfe054a3877003ffe8009426ac0fe0c7caa55ad9bd8c34fa6e2a08b263cf8", { input: { model: "dev", prompt: "Create an image of a cheerful, middle-aged Caucasian man driving a bright red pickup truck. The man has short, light brown hair, wears glasses, and is dressed in a red and white plaid shirt with blue suspenders. He smiles warmly while looking towards the viewer, giving a friendly, approachable vibe. The side of the truck features a political campaign sticker with a fictional candidate’s name, “Harris Walz 2024,” alongside the slogan “Choose Freedom” in a bold, patriotic design. The setting is a typical suburban street, hinting at a calm, everyday life moment with a touch of personal and political expression.", lora_scale: 1, num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, prompt_strength: 0.8, 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 0xdeadd/flux-your-model-name using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "0xdeadd/flux-your-model-name:f57dfe054a3877003ffe8009426ac0fe0c7caa55ad9bd8c34fa6e2a08b263cf8", input={ "model": "dev", "prompt": "Create an image of a cheerful, middle-aged Caucasian man driving a bright red pickup truck. The man has short, light brown hair, wears glasses, and is dressed in a red and white plaid shirt with blue suspenders. He smiles warmly while looking towards the viewer, giving a friendly, approachable vibe. The side of the truck features a political campaign sticker with a fictional candidate’s name, “Harris Walz 2024,” alongside the slogan “Choose Freedom” in a bold, patriotic design. The setting is a typical suburban street, hinting at a calm, everyday life moment with a touch of personal and political expression.", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 0.8, "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 0xdeadd/flux-your-model-name 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": "f57dfe054a3877003ffe8009426ac0fe0c7caa55ad9bd8c34fa6e2a08b263cf8", "input": { "model": "dev", "prompt": "Create an image of a cheerful, middle-aged Caucasian man driving a bright red pickup truck. The man has short, light brown hair, wears glasses, and is dressed in a red and white plaid shirt with blue suspenders. He smiles warmly while looking towards the viewer, giving a friendly, approachable vibe. The side of the truck features a political campaign sticker with a fictional candidate’s name, “Harris Walz 2024,” alongside the slogan “Choose Freedom” in a bold, patriotic design. The setting is a typical suburban street, hinting at a calm, everyday life moment with a touch of personal and political expression.", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 0.8, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-09-06T20:33:22.538296Z", "created_at": "2024-09-06T20:32:47.813000Z", "data_removed": false, "error": null, "id": "1gqfkc8rrnrm40chs459j0bdqr", "input": { "model": "dev", "prompt": "Create an image of a cheerful, middle-aged Caucasian man driving a bright red pickup truck. The man has short, light brown hair, wears glasses, and is dressed in a red and white plaid shirt with blue suspenders. He smiles warmly while looking towards the viewer, giving a friendly, approachable vibe. The side of the truck features a political campaign sticker with a fictional candidate’s name, “Harris Walz 2024,” alongside the slogan “Choose Freedom” in a bold, patriotic design. The setting is a typical suburban street, hinting at a calm, everyday life moment with a touch of personal and political expression.", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 0.8, "num_inference_steps": 28 }, "logs": "Using seed: 46845\nPrompt: Create an image of a cheerful, middle-aged Caucasian man driving a bright red pickup truck. The man has short, light brown hair, wears glasses, and is dressed in a red and white plaid shirt with blue suspenders. He smiles warmly while looking towards the viewer, giving a friendly, approachable vibe. The side of the truck features a political campaign sticker with a fictional candidate’s name, “Harris Walz 2024,” alongside the slogan “Choose Freedom” in a bold, patriotic design. The setting is a typical suburban street, hinting at a calm, everyday life moment with a touch of personal and political expression.\n[!] txt2img mode\nUsing dev model\nfree=132417142784\nDownloading weights\n2024-09-06T20:33:05Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpuo0zb3mf/weights url=https://replicate.delivery/yhqm/zu6wcT7Qbi71O9fGHS0kfaakS510kAQTeSy89t7lBkkKDIwmA/trained_model.tar\n2024-09-06T20:33:07Z | INFO | [ Complete ] dest=/tmp/tmpuo0zb3mf/weights size=\"172 MB\" total_elapsed=2.045s url=https://replicate.delivery/yhqm/zu6wcT7Qbi71O9fGHS0kfaakS510kAQTeSy89t7lBkkKDIwmA/trained_model.tar\nDownloaded weights in 2.08s\nLoaded LoRAs in 8.66s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.49it/s]\n 7%|▋ | 2/28 [00:00<00:06, 3.96it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.74it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.64it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.58it/s]\n 21%|██▏ | 6/28 [00:01<00:06, 3.56it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.54it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.52it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.52it/s]\n 36%|███▌ | 10/28 [00:02<00:05, 3.51it/s]\n 39%|███▉ | 11/28 [00:03<00:04, 3.51it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.51it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.50it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.50it/s]\n 54%|█████▎ | 15/28 [00:04<00:03, 3.50it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.50it/s]\n 61%|██████ | 17/28 [00:04<00:03, 3.50it/s]\n 64%|██████▍ | 18/28 [00:05<00:02, 3.50it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.50it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.49it/s]\n 75%|███████▌ | 21/28 [00:05<00:02, 3.50it/s]\n 79%|███████▊ | 22/28 [00:06<00:01, 3.50it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.50it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.50it/s]\n 89%|████████▉ | 25/28 [00:07<00:00, 3.50it/s]\n 93%|█████████▎| 26/28 [00:07<00:00, 3.49it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.50it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.50it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.52it/s]", "metrics": { "predict_time": 17.14528065, "total_time": 34.725296 }, "output": [ "https://replicate.delivery/yhqm/Q1hP2g6Cud7gFBV1eNDSq6NKeHH8ze1zLr3th6VjXdalIj0mA/out-0.webp" ], "started_at": "2024-09-06T20:33:05.393016Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/1gqfkc8rrnrm40chs459j0bdqr", "cancel": "https://api.replicate.com/v1/predictions/1gqfkc8rrnrm40chs459j0bdqr/cancel" }, "version": "f57dfe054a3877003ffe8009426ac0fe0c7caa55ad9bd8c34fa6e2a08b263cf8" }Generated inUsing seed: 46845 Prompt: Create an image of a cheerful, middle-aged Caucasian man driving a bright red pickup truck. The man has short, light brown hair, wears glasses, and is dressed in a red and white plaid shirt with blue suspenders. He smiles warmly while looking towards the viewer, giving a friendly, approachable vibe. The side of the truck features a political campaign sticker with a fictional candidate’s name, “Harris Walz 2024,” alongside the slogan “Choose Freedom” in a bold, patriotic design. The setting is a typical suburban street, hinting at a calm, everyday life moment with a touch of personal and political expression. [!] txt2img mode Using dev model free=132417142784 Downloading weights 2024-09-06T20:33:05Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpuo0zb3mf/weights url=https://replicate.delivery/yhqm/zu6wcT7Qbi71O9fGHS0kfaakS510kAQTeSy89t7lBkkKDIwmA/trained_model.tar 2024-09-06T20:33:07Z | INFO | [ Complete ] dest=/tmp/tmpuo0zb3mf/weights size="172 MB" total_elapsed=2.045s url=https://replicate.delivery/yhqm/zu6wcT7Qbi71O9fGHS0kfaakS510kAQTeSy89t7lBkkKDIwmA/trained_model.tar Downloaded weights in 2.08s Loaded LoRAs in 8.66s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.49it/s] 7%|▋ | 2/28 [00:00<00:06, 3.96it/s] 11%|█ | 3/28 [00:00<00:06, 3.74it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.64it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.58it/s] 21%|██▏ | 6/28 [00:01<00:06, 3.56it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.54it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.52it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.52it/s] 36%|███▌ | 10/28 [00:02<00:05, 3.51it/s] 39%|███▉ | 11/28 [00:03<00:04, 3.51it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.51it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.50it/s] 50%|█████ | 14/28 [00:03<00:03, 3.50it/s] 54%|█████▎ | 15/28 [00:04<00:03, 3.50it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.50it/s] 61%|██████ | 17/28 [00:04<00:03, 3.50it/s] 64%|██████▍ | 18/28 [00:05<00:02, 3.50it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.50it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.49it/s] 75%|███████▌ | 21/28 [00:05<00:02, 3.50it/s] 79%|███████▊ | 22/28 [00:06<00:01, 3.50it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.50it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.50it/s] 89%|████████▉ | 25/28 [00:07<00:00, 3.50it/s] 93%|█████████▎| 26/28 [00:07<00:00, 3.49it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.50it/s] 100%|██████████| 28/28 [00:07<00:00, 3.50it/s] 100%|██████████| 28/28 [00:07<00:00, 3.52it/s]Prediction
0xdeadd/flux-your-model-name:f57dfe054a3877003ffe8009426ac0fe0c7caa55ad9bd8c34fa6e2a08b263cf8ID48sctyassdrm20chs8ab437pcrStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- Create an image of a large wall filled with multiple television sets, each displaying a different iconic 1980s TV show. The scene is set in a vintage electronics store or a retro-themed room. Each TV, a classic model from the 1980s with bulky frames and dials, is tuned to a vibrant scene from a popular show of the era, such as ‘Miami Vice’, ‘The A-Team’, ‘Cheers’, and ‘Knight Rider’. The televisions are arranged in a somewhat haphazard manner, creating a visually striking mosaic of moving images, colors, and characters that capture the essence of 1980s pop culture. The background should be dimly lit to enhance the glow of the screens, and there should be retro memorabilia scattered around, adding to the nostalgic atmosphere.
- lora_scale
- 1
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- prompt_strength
- 0.8
- extra_lora_scale
- 0.8
- num_inference_steps
- 28
{ "model": "dev", "prompt": "Create an image of a large wall filled with multiple television sets, each displaying a different iconic 1980s TV show. The scene is set in a vintage electronics store or a retro-themed room. Each TV, a classic model from the 1980s with bulky frames and dials, is tuned to a vibrant scene from a popular show of the era, such as ‘Miami Vice’, ‘The A-Team’, ‘Cheers’, and ‘Knight Rider’. The televisions are arranged in a somewhat haphazard manner, creating a visually striking mosaic of moving images, colors, and characters that capture the essence of 1980s pop culture. The background should be dimly lit to enhance the glow of the screens, and there should be retro memorabilia scattered around, adding to the nostalgic atmosphere.", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 0.8, "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 0xdeadd/flux-your-model-name using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "0xdeadd/flux-your-model-name:f57dfe054a3877003ffe8009426ac0fe0c7caa55ad9bd8c34fa6e2a08b263cf8", { input: { model: "dev", prompt: "Create an image of a large wall filled with multiple television sets, each displaying a different iconic 1980s TV show. The scene is set in a vintage electronics store or a retro-themed room. Each TV, a classic model from the 1980s with bulky frames and dials, is tuned to a vibrant scene from a popular show of the era, such as ‘Miami Vice’, ‘The A-Team’, ‘Cheers’, and ‘Knight Rider’. The televisions are arranged in a somewhat haphazard manner, creating a visually striking mosaic of moving images, colors, and characters that capture the essence of 1980s pop culture. The background should be dimly lit to enhance the glow of the screens, and there should be retro memorabilia scattered around, adding to the nostalgic atmosphere.", lora_scale: 1, num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, prompt_strength: 0.8, 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 0xdeadd/flux-your-model-name using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "0xdeadd/flux-your-model-name:f57dfe054a3877003ffe8009426ac0fe0c7caa55ad9bd8c34fa6e2a08b263cf8", input={ "model": "dev", "prompt": "Create an image of a large wall filled with multiple television sets, each displaying a different iconic 1980s TV show. The scene is set in a vintage electronics store or a retro-themed room. Each TV, a classic model from the 1980s with bulky frames and dials, is tuned to a vibrant scene from a popular show of the era, such as ‘Miami Vice’, ‘The A-Team’, ‘Cheers’, and ‘Knight Rider’. The televisions are arranged in a somewhat haphazard manner, creating a visually striking mosaic of moving images, colors, and characters that capture the essence of 1980s pop culture. The background should be dimly lit to enhance the glow of the screens, and there should be retro memorabilia scattered around, adding to the nostalgic atmosphere.", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 0.8, "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 0xdeadd/flux-your-model-name 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": "f57dfe054a3877003ffe8009426ac0fe0c7caa55ad9bd8c34fa6e2a08b263cf8", "input": { "model": "dev", "prompt": "Create an image of a large wall filled with multiple television sets, each displaying a different iconic 1980s TV show. The scene is set in a vintage electronics store or a retro-themed room. Each TV, a classic model from the 1980s with bulky frames and dials, is tuned to a vibrant scene from a popular show of the era, such as ‘Miami Vice’, ‘The A-Team’, ‘Cheers’, and ‘Knight Rider’. The televisions are arranged in a somewhat haphazard manner, creating a visually striking mosaic of moving images, colors, and characters that capture the essence of 1980s pop culture. The background should be dimly lit to enhance the glow of the screens, and there should be retro memorabilia scattered around, adding to the nostalgic atmosphere.", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 0.8, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-09-07T01:24:10.004974Z", "created_at": "2024-09-07T01:23:37.035000Z", "data_removed": false, "error": null, "id": "48sctyassdrm20chs8ab437pcr", "input": { "model": "dev", "prompt": "Create an image of a large wall filled with multiple television sets, each displaying a different iconic 1980s TV show. The scene is set in a vintage electronics store or a retro-themed room. Each TV, a classic model from the 1980s with bulky frames and dials, is tuned to a vibrant scene from a popular show of the era, such as ‘Miami Vice’, ‘The A-Team’, ‘Cheers’, and ‘Knight Rider’. The televisions are arranged in a somewhat haphazard manner, creating a visually striking mosaic of moving images, colors, and characters that capture the essence of 1980s pop culture. The background should be dimly lit to enhance the glow of the screens, and there should be retro memorabilia scattered around, adding to the nostalgic atmosphere.", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 0.8, "num_inference_steps": 28 }, "logs": "Using seed: 29736\nPrompt: Create an image of a large wall filled with multiple television sets, each displaying a different iconic 1980s TV show. The scene is set in a vintage electronics store or a retro-themed room. Each TV, a classic model from the 1980s with bulky frames and dials, is tuned to a vibrant scene from a popular show of the era, such as ‘Miami Vice’, ‘The A-Team’, ‘Cheers’, and ‘Knight Rider’. The televisions are arranged in a somewhat haphazard manner, creating a visually striking mosaic of moving images, colors, and characters that capture the essence of 1980s pop culture. The background should be dimly lit to enhance the glow of the screens, and there should be retro memorabilia scattered around, adding to the nostalgic atmosphere.\n[!] txt2img mode\nUsing dev model\nLoaded LoRAs in 8.68s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.48it/s]\n 7%|▋ | 2/28 [00:00<00:06, 3.95it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.72it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.62it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.57it/s]\n 21%|██▏ | 6/28 [00:01<00:06, 3.54it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.52it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.51it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.50it/s]\n 36%|███▌ | 10/28 [00:02<00:05, 3.50it/s]\n 39%|███▉ | 11/28 [00:03<00:04, 3.49it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.49it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.49it/s]\n 50%|█████ | 14/28 [00:03<00:04, 3.49it/s]\n 54%|█████▎ | 15/28 [00:04<00:03, 3.48it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.48it/s]\n 61%|██████ | 17/28 [00:04<00:03, 3.48it/s]\n 64%|██████▍ | 18/28 [00:05<00:02, 3.48it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.48it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.48it/s]\n 75%|███████▌ | 21/28 [00:05<00:02, 3.48it/s]\n 79%|███████▊ | 22/28 [00:06<00:01, 3.48it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.48it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.48it/s]\n 89%|████████▉ | 25/28 [00:07<00:00, 3.48it/s]\n 93%|█████████▎| 26/28 [00:07<00:00, 3.48it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.48it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.48it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.51it/s]", "metrics": { "predict_time": 17.239050355, "total_time": 32.969974 }, "output": [ "https://replicate.delivery/yhqm/NlfoTiTAjemxKURQDtkjhymUcYhhDj9CTpfxozWVvDvzpr0mA/out-0.webp" ], "started_at": "2024-09-07T01:23:52.765924Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/48sctyassdrm20chs8ab437pcr", "cancel": "https://api.replicate.com/v1/predictions/48sctyassdrm20chs8ab437pcr/cancel" }, "version": "f57dfe054a3877003ffe8009426ac0fe0c7caa55ad9bd8c34fa6e2a08b263cf8" }Generated inUsing seed: 29736 Prompt: Create an image of a large wall filled with multiple television sets, each displaying a different iconic 1980s TV show. The scene is set in a vintage electronics store or a retro-themed room. Each TV, a classic model from the 1980s with bulky frames and dials, is tuned to a vibrant scene from a popular show of the era, such as ‘Miami Vice’, ‘The A-Team’, ‘Cheers’, and ‘Knight Rider’. The televisions are arranged in a somewhat haphazard manner, creating a visually striking mosaic of moving images, colors, and characters that capture the essence of 1980s pop culture. The background should be dimly lit to enhance the glow of the screens, and there should be retro memorabilia scattered around, adding to the nostalgic atmosphere. [!] txt2img mode Using dev model Loaded LoRAs in 8.68s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.48it/s] 7%|▋ | 2/28 [00:00<00:06, 3.95it/s] 11%|█ | 3/28 [00:00<00:06, 3.72it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.62it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.57it/s] 21%|██▏ | 6/28 [00:01<00:06, 3.54it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.52it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.51it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.50it/s] 36%|███▌ | 10/28 [00:02<00:05, 3.50it/s] 39%|███▉ | 11/28 [00:03<00:04, 3.49it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.49it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.49it/s] 50%|█████ | 14/28 [00:03<00:04, 3.49it/s] 54%|█████▎ | 15/28 [00:04<00:03, 3.48it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.48it/s] 61%|██████ | 17/28 [00:04<00:03, 3.48it/s] 64%|██████▍ | 18/28 [00:05<00:02, 3.48it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.48it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.48it/s] 75%|███████▌ | 21/28 [00:05<00:02, 3.48it/s] 79%|███████▊ | 22/28 [00:06<00:01, 3.48it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.48it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.48it/s] 89%|████████▉ | 25/28 [00:07<00:00, 3.48it/s] 93%|█████████▎| 26/28 [00:07<00:00, 3.48it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.48it/s] 100%|██████████| 28/28 [00:07<00:00, 3.48it/s] 100%|██████████| 28/28 [00:07<00:00, 3.51it/s]Prediction
0xdeadd/flux-your-model-name:f57dfe054a3877003ffe8009426ac0fe0c7caa55ad9bd8c34fa6e2a08b263cf8ID3c5gysrqjdrm60chv9rak7wt28StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- This image shows a young man at what appears to be a protest or demonstration. He is wearing a white t-shirt with a hand-written message that says "BAN AI PHOTOGRAPHY!" in large letters. The "AI" is crossed out with a large red X. The man is also wearing a face mask, suggesting this photo was taken during the COVID-19 pandemic. He has curly hair and is standing among a crowd of other people on a street or sidewalk. The sign he's holding expresses opposition to AI-generated or AI-manipulated photography. This reflects growing concerns about the impact of artificial intelligence on visual media and artistic fields. The scene appears to be outdoors in an urban area, with buildings visible in the background and other people around, some of whom seem to be part of the same event or gathering.
- lora_scale
- 1
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- prompt_strength
- 0.8
- extra_lora_scale
- 0.8
- num_inference_steps
- 28
{ "model": "dev", "prompt": "This image shows a young man at what appears to be a protest or demonstration. He is wearing a white t-shirt with a hand-written message that says \"BAN AI PHOTOGRAPHY!\" in large letters. The \"AI\" is crossed out with a large red X.\n\nThe man is also wearing a face mask, suggesting this photo was taken during the COVID-19 pandemic. He has curly hair and is standing among a crowd of other people on a street or sidewalk.\n\nThe sign he's holding expresses opposition to AI-generated or AI-manipulated photography. This reflects growing concerns about the impact of artificial intelligence on visual media and artistic fields.\n\nThe scene appears to be outdoors in an urban area, with buildings visible in the background and other people around, some of whom seem to be part of the same event or gathering.\n", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 0.8, "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 0xdeadd/flux-your-model-name using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "0xdeadd/flux-your-model-name:f57dfe054a3877003ffe8009426ac0fe0c7caa55ad9bd8c34fa6e2a08b263cf8", { input: { model: "dev", prompt: "This image shows a young man at what appears to be a protest or demonstration. He is wearing a white t-shirt with a hand-written message that says \"BAN AI PHOTOGRAPHY!\" in large letters. The \"AI\" is crossed out with a large red X.\n\nThe man is also wearing a face mask, suggesting this photo was taken during the COVID-19 pandemic. He has curly hair and is standing among a crowd of other people on a street or sidewalk.\n\nThe sign he's holding expresses opposition to AI-generated or AI-manipulated photography. This reflects growing concerns about the impact of artificial intelligence on visual media and artistic fields.\n\nThe scene appears to be outdoors in an urban area, with buildings visible in the background and other people around, some of whom seem to be part of the same event or gathering.\n", lora_scale: 1, num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, prompt_strength: 0.8, 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 0xdeadd/flux-your-model-name using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "0xdeadd/flux-your-model-name:f57dfe054a3877003ffe8009426ac0fe0c7caa55ad9bd8c34fa6e2a08b263cf8", input={ "model": "dev", "prompt": "This image shows a young man at what appears to be a protest or demonstration. He is wearing a white t-shirt with a hand-written message that says \"BAN AI PHOTOGRAPHY!\" in large letters. The \"AI\" is crossed out with a large red X.\n\nThe man is also wearing a face mask, suggesting this photo was taken during the COVID-19 pandemic. He has curly hair and is standing among a crowd of other people on a street or sidewalk.\n\nThe sign he's holding expresses opposition to AI-generated or AI-manipulated photography. This reflects growing concerns about the impact of artificial intelligence on visual media and artistic fields.\n\nThe scene appears to be outdoors in an urban area, with buildings visible in the background and other people around, some of whom seem to be part of the same event or gathering.\n", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 0.8, "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 0xdeadd/flux-your-model-name 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": "f57dfe054a3877003ffe8009426ac0fe0c7caa55ad9bd8c34fa6e2a08b263cf8", "input": { "model": "dev", "prompt": "This image shows a young man at what appears to be a protest or demonstration. He is wearing a white t-shirt with a hand-written message that says \\"BAN AI PHOTOGRAPHY!\\" in large letters. The \\"AI\\" is crossed out with a large red X.\\n\\nThe man is also wearing a face mask, suggesting this photo was taken during the COVID-19 pandemic. He has curly hair and is standing among a crowd of other people on a street or sidewalk.\\n\\nThe sign he\'s holding expresses opposition to AI-generated or AI-manipulated photography. This reflects growing concerns about the impact of artificial intelligence on visual media and artistic fields.\\n\\nThe scene appears to be outdoors in an urban area, with buildings visible in the background and other people around, some of whom seem to be part of the same event or gathering.\\n", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 0.8, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-09-10T05:38:08.364642Z", "created_at": "2024-09-10T05:37:44.851000Z", "data_removed": false, "error": null, "id": "3c5gysrqjdrm60chv9rak7wt28", "input": { "model": "dev", "prompt": "This image shows a young man at what appears to be a protest or demonstration. He is wearing a white t-shirt with a hand-written message that says \"BAN AI PHOTOGRAPHY!\" in large letters. The \"AI\" is crossed out with a large red X.\n\nThe man is also wearing a face mask, suggesting this photo was taken during the COVID-19 pandemic. He has curly hair and is standing among a crowd of other people on a street or sidewalk.\n\nThe sign he's holding expresses opposition to AI-generated or AI-manipulated photography. This reflects growing concerns about the impact of artificial intelligence on visual media and artistic fields.\n\nThe scene appears to be outdoors in an urban area, with buildings visible in the background and other people around, some of whom seem to be part of the same event or gathering.\n", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 0.8, "num_inference_steps": 28 }, "logs": "Using seed: 3850\nPrompt: This image shows a young man at what appears to be a protest or demonstration. He is wearing a white t-shirt with a hand-written message that says \"BAN AI PHOTOGRAPHY!\" in large letters. The \"AI\" is crossed out with a large red X.\nThe man is also wearing a face mask, suggesting this photo was taken during the COVID-19 pandemic. He has curly hair and is standing among a crowd of other people on a street or sidewalk.\nThe sign he's holding expresses opposition to AI-generated or AI-manipulated photography. This reflects growing concerns about the impact of artificial intelligence on visual media and artistic fields.\nThe scene appears to be outdoors in an urban area, with buildings visible in the background and other people around, some of whom seem to be part of the same event or gathering.\n[!] txt2img mode\nUsing dev model\nfree=8468811829248\nDownloading weights\n2024-09-10T05:37:51Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpkn9r4vwq/weights url=https://replicate.delivery/yhqm/zu6wcT7Qbi71O9fGHS0kfaakS510kAQTeSy89t7lBkkKDIwmA/trained_model.tar\n2024-09-10T05:37:53Z | INFO | [ Complete ] dest=/tmp/tmpkn9r4vwq/weights size=\"172 MB\" total_elapsed=1.918s url=https://replicate.delivery/yhqm/zu6wcT7Qbi71O9fGHS0kfaakS510kAQTeSy89t7lBkkKDIwmA/trained_model.tar\nDownloaded weights in 2.02s\nLoaded LoRAs in 9.47s\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, 4.27it/s]\n 11%|█ | 3/28 [00:00<00:06, 4.03it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.93it/s]\n 18%|█▊ | 5/28 [00:01<00:05, 3.88it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.85it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.83it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.81it/s]\n 32%|███▏ | 9/28 [00:02<00:04, 3.80it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.80it/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, 3.79it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.78it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 3.78it/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, 3.81it/s]", "metrics": { "predict_time": 17.391714879, "total_time": 23.513642 }, "output": [ "https://replicate.delivery/yhqm/4RNyxgYGkIYIFp3XKfzBOZIEAExvfk3FWOXIv8Hk1VKA1YbTA/out-0.webp" ], "started_at": "2024-09-10T05:37:50.972927Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/3c5gysrqjdrm60chv9rak7wt28", "cancel": "https://api.replicate.com/v1/predictions/3c5gysrqjdrm60chv9rak7wt28/cancel" }, "version": "f57dfe054a3877003ffe8009426ac0fe0c7caa55ad9bd8c34fa6e2a08b263cf8" }Generated inUsing seed: 3850 Prompt: This image shows a young man at what appears to be a protest or demonstration. He is wearing a white t-shirt with a hand-written message that says "BAN AI PHOTOGRAPHY!" in large letters. The "AI" is crossed out with a large red X. The man is also wearing a face mask, suggesting this photo was taken during the COVID-19 pandemic. He has curly hair and is standing among a crowd of other people on a street or sidewalk. The sign he's holding expresses opposition to AI-generated or AI-manipulated photography. This reflects growing concerns about the impact of artificial intelligence on visual media and artistic fields. The scene appears to be outdoors in an urban area, with buildings visible in the background and other people around, some of whom seem to be part of the same event or gathering. [!] txt2img mode Using dev model free=8468811829248 Downloading weights 2024-09-10T05:37:51Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpkn9r4vwq/weights url=https://replicate.delivery/yhqm/zu6wcT7Qbi71O9fGHS0kfaakS510kAQTeSy89t7lBkkKDIwmA/trained_model.tar 2024-09-10T05:37:53Z | INFO | [ Complete ] dest=/tmp/tmpkn9r4vwq/weights size="172 MB" total_elapsed=1.918s url=https://replicate.delivery/yhqm/zu6wcT7Qbi71O9fGHS0kfaakS510kAQTeSy89t7lBkkKDIwmA/trained_model.tar Downloaded weights in 2.02s Loaded LoRAs in 9.47s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.78it/s] 7%|▋ | 2/28 [00:00<00:06, 4.27it/s] 11%|█ | 3/28 [00:00<00:06, 4.03it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.93it/s] 18%|█▊ | 5/28 [00:01<00:05, 3.88it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.85it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.83it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.81it/s] 32%|███▏ | 9/28 [00:02<00:04, 3.80it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.80it/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, 3.79it/s] 50%|█████ | 14/28 [00:03<00:03, 3.78it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.78it/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, 3.81it/s]Prediction
0xdeadd/flux-your-model-name:f57dfe054a3877003ffe8009426ac0fe0c7caa55ad9bd8c34fa6e2a08b263cf8ID9713m9p845rm40chs56ttq0b24StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- Create an image of a male deep cover freedom fighter in an urban Middle Eastern setting. The man is of Middle Eastern descent, in his mid-40s, with a rugged and weathered appearance, short dark hair streaked with grey, and a neatly trimmed beard. He is wearing a lightweight olive tactical jacket and a cream-colored shemagh loosely wrapped around his neck, blending utility with local attire. His expression is intense and contemplative, reflecting his experience and determination. He is tactfully armed for covert operations, equipped with a compact submachine gun slung across his chest and a holstered sidearm at his waist. Additional gear includes a tactical vest with magazines and communication devices subtly integrated. The background features a busy city street with traditional architecture, filled with local residents and market stalls, capturing a blend of daily life and underlying tension. The setting suggests that despite his heavy armament, he remains inconspicuous within the local environment.
- lora_scale
- 1
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- prompt_strength
- 0.8
- extra_lora_scale
- 0.8
- num_inference_steps
- 28
{ "model": "dev", "prompt": "Create an image of a male deep cover freedom fighter in an urban Middle Eastern setting. The man is of Middle Eastern descent, in his mid-40s, with a rugged and weathered appearance, short dark hair streaked with grey, and a neatly trimmed beard. He is wearing a lightweight olive tactical jacket and a cream-colored shemagh loosely wrapped around his neck, blending utility with local attire. His expression is intense and contemplative, reflecting his experience and determination.\n\nHe is tactfully armed for covert operations, equipped with a compact submachine gun slung across his chest and a holstered sidearm at his waist. Additional gear includes a tactical vest with magazines and communication devices subtly integrated. The background features a busy city street with traditional architecture, filled with local residents and market stalls, capturing a blend of daily life and underlying tension. The setting suggests that despite his heavy armament, he remains inconspicuous within the local environment.", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 0.8, "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 0xdeadd/flux-your-model-name using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "0xdeadd/flux-your-model-name:f57dfe054a3877003ffe8009426ac0fe0c7caa55ad9bd8c34fa6e2a08b263cf8", { input: { model: "dev", prompt: "Create an image of a male deep cover freedom fighter in an urban Middle Eastern setting. The man is of Middle Eastern descent, in his mid-40s, with a rugged and weathered appearance, short dark hair streaked with grey, and a neatly trimmed beard. He is wearing a lightweight olive tactical jacket and a cream-colored shemagh loosely wrapped around his neck, blending utility with local attire. His expression is intense and contemplative, reflecting his experience and determination.\n\nHe is tactfully armed for covert operations, equipped with a compact submachine gun slung across his chest and a holstered sidearm at his waist. Additional gear includes a tactical vest with magazines and communication devices subtly integrated. The background features a busy city street with traditional architecture, filled with local residents and market stalls, capturing a blend of daily life and underlying tension. The setting suggests that despite his heavy armament, he remains inconspicuous within the local environment.", lora_scale: 1, num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, prompt_strength: 0.8, 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 0xdeadd/flux-your-model-name using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "0xdeadd/flux-your-model-name:f57dfe054a3877003ffe8009426ac0fe0c7caa55ad9bd8c34fa6e2a08b263cf8", input={ "model": "dev", "prompt": "Create an image of a male deep cover freedom fighter in an urban Middle Eastern setting. The man is of Middle Eastern descent, in his mid-40s, with a rugged and weathered appearance, short dark hair streaked with grey, and a neatly trimmed beard. He is wearing a lightweight olive tactical jacket and a cream-colored shemagh loosely wrapped around his neck, blending utility with local attire. His expression is intense and contemplative, reflecting his experience and determination.\n\nHe is tactfully armed for covert operations, equipped with a compact submachine gun slung across his chest and a holstered sidearm at his waist. Additional gear includes a tactical vest with magazines and communication devices subtly integrated. The background features a busy city street with traditional architecture, filled with local residents and market stalls, capturing a blend of daily life and underlying tension. The setting suggests that despite his heavy armament, he remains inconspicuous within the local environment.", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 0.8, "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 0xdeadd/flux-your-model-name 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": "f57dfe054a3877003ffe8009426ac0fe0c7caa55ad9bd8c34fa6e2a08b263cf8", "input": { "model": "dev", "prompt": "Create an image of a male deep cover freedom fighter in an urban Middle Eastern setting. The man is of Middle Eastern descent, in his mid-40s, with a rugged and weathered appearance, short dark hair streaked with grey, and a neatly trimmed beard. He is wearing a lightweight olive tactical jacket and a cream-colored shemagh loosely wrapped around his neck, blending utility with local attire. His expression is intense and contemplative, reflecting his experience and determination.\\n\\nHe is tactfully armed for covert operations, equipped with a compact submachine gun slung across his chest and a holstered sidearm at his waist. Additional gear includes a tactical vest with magazines and communication devices subtly integrated. The background features a busy city street with traditional architecture, filled with local residents and market stalls, capturing a blend of daily life and underlying tension. The setting suggests that despite his heavy armament, he remains inconspicuous within the local environment.", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 0.8, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-09-06T21:47:10.466908Z", "created_at": "2024-09-06T21:46:43.617000Z", "data_removed": false, "error": null, "id": "9713m9p845rm40chs56ttq0b24", "input": { "model": "dev", "prompt": "Create an image of a male deep cover freedom fighter in an urban Middle Eastern setting. The man is of Middle Eastern descent, in his mid-40s, with a rugged and weathered appearance, short dark hair streaked with grey, and a neatly trimmed beard. He is wearing a lightweight olive tactical jacket and a cream-colored shemagh loosely wrapped around his neck, blending utility with local attire. His expression is intense and contemplative, reflecting his experience and determination.\n\nHe is tactfully armed for covert operations, equipped with a compact submachine gun slung across his chest and a holstered sidearm at his waist. Additional gear includes a tactical vest with magazines and communication devices subtly integrated. The background features a busy city street with traditional architecture, filled with local residents and market stalls, capturing a blend of daily life and underlying tension. The setting suggests that despite his heavy armament, he remains inconspicuous within the local environment.", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 0.8, "num_inference_steps": 28 }, "logs": "Using seed: 44626\nPrompt: Create an image of a male deep cover freedom fighter in an urban Middle Eastern setting. The man is of Middle Eastern descent, in his mid-40s, with a rugged and weathered appearance, short dark hair streaked with grey, and a neatly trimmed beard. He is wearing a lightweight olive tactical jacket and a cream-colored shemagh loosely wrapped around his neck, blending utility with local attire. His expression is intense and contemplative, reflecting his experience and determination.\nHe is tactfully armed for covert operations, equipped with a compact submachine gun slung across his chest and a holstered sidearm at his waist. Additional gear includes a tactical vest with magazines and communication devices subtly integrated. The background features a busy city street with traditional architecture, filled with local residents and market stalls, capturing a blend of daily life and underlying tension. The setting suggests that despite his heavy armament, he remains inconspicuous within the local environment.\n[!] txt2img mode\nUsing dev model\nLoaded LoRAs in 7.88s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.45it/s]\n 7%|▋ | 2/28 [00:00<00:06, 3.91it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.69it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.59it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.54it/s]\n 21%|██▏ | 6/28 [00:01<00:06, 3.51it/s]\n 25%|██▌ | 7/28 [00:01<00:06, 3.49it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.48it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.47it/s]\n 36%|███▌ | 10/28 [00:02<00:05, 3.47it/s]\n 39%|███▉ | 11/28 [00:03<00:04, 3.46it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.46it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.46it/s]\n 50%|█████ | 14/28 [00:03<00:04, 3.46it/s]\n 54%|█████▎ | 15/28 [00:04<00:03, 3.46it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.46it/s]\n 61%|██████ | 17/28 [00:04<00:03, 3.46it/s]\n 64%|██████▍ | 18/28 [00:05<00:02, 3.46it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.46it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.46it/s]\n 75%|███████▌ | 21/28 [00:06<00:02, 3.46it/s]\n 79%|███████▊ | 22/28 [00:06<00:01, 3.46it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.46it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.46it/s]\n 89%|████████▉ | 25/28 [00:07<00:00, 3.45it/s]\n 93%|█████████▎| 26/28 [00:07<00:00, 3.45it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.45it/s]\n100%|██████████| 28/28 [00:08<00:00, 3.45it/s]\n100%|██████████| 28/28 [00:08<00:00, 3.48it/s]", "metrics": { "predict_time": 16.48081083, "total_time": 26.849908 }, "output": [ "https://replicate.delivery/yhqm/B59NDPgjsQYwDxWACf7fnBmweVJ03fexEkpOXffSLUKAvUJtJA/out-0.webp" ], "started_at": "2024-09-06T21:46:53.986097Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/9713m9p845rm40chs56ttq0b24", "cancel": "https://api.replicate.com/v1/predictions/9713m9p845rm40chs56ttq0b24/cancel" }, "version": "f57dfe054a3877003ffe8009426ac0fe0c7caa55ad9bd8c34fa6e2a08b263cf8" }Generated inUsing seed: 44626 Prompt: Create an image of a male deep cover freedom fighter in an urban Middle Eastern setting. The man is of Middle Eastern descent, in his mid-40s, with a rugged and weathered appearance, short dark hair streaked with grey, and a neatly trimmed beard. He is wearing a lightweight olive tactical jacket and a cream-colored shemagh loosely wrapped around his neck, blending utility with local attire. His expression is intense and contemplative, reflecting his experience and determination. He is tactfully armed for covert operations, equipped with a compact submachine gun slung across his chest and a holstered sidearm at his waist. Additional gear includes a tactical vest with magazines and communication devices subtly integrated. The background features a busy city street with traditional architecture, filled with local residents and market stalls, capturing a blend of daily life and underlying tension. The setting suggests that despite his heavy armament, he remains inconspicuous within the local environment. [!] txt2img mode Using dev model Loaded LoRAs in 7.88s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.45it/s] 7%|▋ | 2/28 [00:00<00:06, 3.91it/s] 11%|█ | 3/28 [00:00<00:06, 3.69it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.59it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.54it/s] 21%|██▏ | 6/28 [00:01<00:06, 3.51it/s] 25%|██▌ | 7/28 [00:01<00:06, 3.49it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.48it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.47it/s] 36%|███▌ | 10/28 [00:02<00:05, 3.47it/s] 39%|███▉ | 11/28 [00:03<00:04, 3.46it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.46it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.46it/s] 50%|█████ | 14/28 [00:03<00:04, 3.46it/s] 54%|█████▎ | 15/28 [00:04<00:03, 3.46it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.46it/s] 61%|██████ | 17/28 [00:04<00:03, 3.46it/s] 64%|██████▍ | 18/28 [00:05<00:02, 3.46it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.46it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.46it/s] 75%|███████▌ | 21/28 [00:06<00:02, 3.46it/s] 79%|███████▊ | 22/28 [00:06<00:01, 3.46it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.46it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.46it/s] 89%|████████▉ | 25/28 [00:07<00:00, 3.45it/s] 93%|█████████▎| 26/28 [00:07<00:00, 3.45it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.45it/s] 100%|██████████| 28/28 [00:08<00:00, 3.45it/s] 100%|██████████| 28/28 [00:08<00:00, 3.48it/s]Prediction
0xdeadd/flux-your-model-name:f57dfe054a3877003ffe8009426ac0fe0c7caa55ad9bd8c34fa6e2a08b263cf8IDhpc1wjc3ydrm20chxj9rj6q5vmStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- “Visualize a modern reinterpretation of Leonardo da Vinci’s ‘The Last Supper,’ featuring you as Jesus in the center of the scene. The setting retains the iconic long table and the layout of the original painting, but with contemporary elements blended into the decor. You are depicted with a serene yet engaging expression, dressed in a simple but elegant white robe that echoes traditional depictions of Jesus, yet subtly updated to blend with the modern touches of the room. Around you, the disciples are portrayed as diverse individuals from various contemporary backgrounds, each interacting or reacting to a central discussion point, which you, as Jesus, are addressing. The background includes gothic windows that cast dramatic light across the scene, highlighting your face and the faces of the disciples, creating a powerful yet familiar tableau that bridges past and present.”
- lora_scale
- 1
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- prompt_strength
- 0.8
- extra_lora_scale
- 0.8
- num_inference_steps
- 28
{ "model": "dev", "prompt": "“Visualize a modern reinterpretation of Leonardo da Vinci’s ‘The Last Supper,’ featuring you as Jesus in the center of the scene. The setting retains the iconic long table and the layout of the original painting, but with contemporary elements blended into the decor. You are depicted with a serene yet engaging expression, dressed in a simple but elegant white robe that echoes traditional depictions of Jesus, yet subtly updated to blend with the modern touches of the room. Around you, the disciples are portrayed as diverse individuals from various contemporary backgrounds, each interacting or reacting to a central discussion point, which you, as Jesus, are addressing. The background includes gothic windows that cast dramatic light across the scene, highlighting your face and the faces of the disciples, creating a powerful yet familiar tableau that bridges past and present.”", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 0.8, "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 0xdeadd/flux-your-model-name using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "0xdeadd/flux-your-model-name:f57dfe054a3877003ffe8009426ac0fe0c7caa55ad9bd8c34fa6e2a08b263cf8", { input: { model: "dev", prompt: "“Visualize a modern reinterpretation of Leonardo da Vinci’s ‘The Last Supper,’ featuring you as Jesus in the center of the scene. The setting retains the iconic long table and the layout of the original painting, but with contemporary elements blended into the decor. You are depicted with a serene yet engaging expression, dressed in a simple but elegant white robe that echoes traditional depictions of Jesus, yet subtly updated to blend with the modern touches of the room. Around you, the disciples are portrayed as diverse individuals from various contemporary backgrounds, each interacting or reacting to a central discussion point, which you, as Jesus, are addressing. The background includes gothic windows that cast dramatic light across the scene, highlighting your face and the faces of the disciples, creating a powerful yet familiar tableau that bridges past and present.”", lora_scale: 1, num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, prompt_strength: 0.8, 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 0xdeadd/flux-your-model-name using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "0xdeadd/flux-your-model-name:f57dfe054a3877003ffe8009426ac0fe0c7caa55ad9bd8c34fa6e2a08b263cf8", input={ "model": "dev", "prompt": "“Visualize a modern reinterpretation of Leonardo da Vinci’s ‘The Last Supper,’ featuring you as Jesus in the center of the scene. The setting retains the iconic long table and the layout of the original painting, but with contemporary elements blended into the decor. You are depicted with a serene yet engaging expression, dressed in a simple but elegant white robe that echoes traditional depictions of Jesus, yet subtly updated to blend with the modern touches of the room. Around you, the disciples are portrayed as diverse individuals from various contemporary backgrounds, each interacting or reacting to a central discussion point, which you, as Jesus, are addressing. The background includes gothic windows that cast dramatic light across the scene, highlighting your face and the faces of the disciples, creating a powerful yet familiar tableau that bridges past and present.”", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 0.8, "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 0xdeadd/flux-your-model-name 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": "f57dfe054a3877003ffe8009426ac0fe0c7caa55ad9bd8c34fa6e2a08b263cf8", "input": { "model": "dev", "prompt": "“Visualize a modern reinterpretation of Leonardo da Vinci’s ‘The Last Supper,’ featuring you as Jesus in the center of the scene. The setting retains the iconic long table and the layout of the original painting, but with contemporary elements blended into the decor. You are depicted with a serene yet engaging expression, dressed in a simple but elegant white robe that echoes traditional depictions of Jesus, yet subtly updated to blend with the modern touches of the room. Around you, the disciples are portrayed as diverse individuals from various contemporary backgrounds, each interacting or reacting to a central discussion point, which you, as Jesus, are addressing. The background includes gothic windows that cast dramatic light across the scene, highlighting your face and the faces of the disciples, creating a powerful yet familiar tableau that bridges past and present.”", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 0.8, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-09-13T18:10:03.631822Z", "created_at": "2024-09-13T18:09:36.243000Z", "data_removed": false, "error": null, "id": "hpc1wjc3ydrm20chxj9rj6q5vm", "input": { "model": "dev", "prompt": "“Visualize a modern reinterpretation of Leonardo da Vinci’s ‘The Last Supper,’ featuring you as Jesus in the center of the scene. The setting retains the iconic long table and the layout of the original painting, but with contemporary elements blended into the decor. You are depicted with a serene yet engaging expression, dressed in a simple but elegant white robe that echoes traditional depictions of Jesus, yet subtly updated to blend with the modern touches of the room. Around you, the disciples are portrayed as diverse individuals from various contemporary backgrounds, each interacting or reacting to a central discussion point, which you, as Jesus, are addressing. The background includes gothic windows that cast dramatic light across the scene, highlighting your face and the faces of the disciples, creating a powerful yet familiar tableau that bridges past and present.”", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 0.8, "num_inference_steps": 28 }, "logs": "Using seed: 9566\nPrompt: “Visualize a modern reinterpretation of Leonardo da Vinci’s ‘The Last Supper,’ featuring you as Jesus in the center of the scene. The setting retains the iconic long table and the layout of the original painting, but with contemporary elements blended into the decor. You are depicted with a serene yet engaging expression, dressed in a simple but elegant white robe that echoes traditional depictions of Jesus, yet subtly updated to blend with the modern touches of the room. Around you, the disciples are portrayed as diverse individuals from various contemporary backgrounds, each interacting or reacting to a central discussion point, which you, as Jesus, are addressing. The background includes gothic windows that cast dramatic light across the scene, highlighting your face and the faces of the disciples, creating a powerful yet familiar tableau that bridges past and present.”\n[!] txt2img mode\nUsing dev model\nfree=7032020312064\nDownloading weights\n2024-09-13T18:09:36Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp1p5iq7a6/weights url=https://replicate.delivery/yhqm/zu6wcT7Qbi71O9fGHS0kfaakS510kAQTeSy89t7lBkkKDIwmA/trained_model.tar\n2024-09-13T18:09:38Z | INFO | [ Complete ] dest=/tmp/tmp1p5iq7a6/weights size=\"172 MB\" total_elapsed=2.633s url=https://replicate.delivery/yhqm/zu6wcT7Qbi71O9fGHS0kfaakS510kAQTeSy89t7lBkkKDIwmA/trained_model.tar\nDownloaded weights in 2.66s\nLoaded LoRAs in 19.09s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.49it/s]\n 7%|▋ | 2/28 [00:00<00:06, 3.95it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.72it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.63it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.58it/s]\n 21%|██▏ | 6/28 [00:01<00:06, 3.55it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.53it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.52it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.51it/s]\n 36%|███▌ | 10/28 [00:02<00:05, 3.51it/s]\n 39%|███▉ | 11/28 [00:03<00:04, 3.50it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.50it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.50it/s]\n 50%|█████ | 14/28 [00:03<00:04, 3.50it/s]\n 54%|█████▎ | 15/28 [00:04<00:03, 3.50it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.50it/s]\n 61%|██████ | 17/28 [00:04<00:03, 3.50it/s]\n 64%|██████▍ | 18/28 [00:05<00:02, 3.50it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.50it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.50it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.50it/s]\n 79%|███████▊ | 22/28 [00:06<00:01, 3.50it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.50it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.49it/s]\n 89%|████████▉ | 25/28 [00:07<00:00, 3.50it/s]\n 93%|█████████▎| 26/28 [00:07<00:00, 3.49it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.50it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.50it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.52it/s]", "metrics": { "predict_time": 27.380255706, "total_time": 27.388822 }, "output": [ "https://replicate.delivery/yhqm/boi0RssjJoYbPZ6Ryxn9BLPd0VxbM4ytoDiZ2wJjzu3ejRuJA/out-0.webp" ], "started_at": "2024-09-13T18:09:36.251567Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/hpc1wjc3ydrm20chxj9rj6q5vm", "cancel": "https://api.replicate.com/v1/predictions/hpc1wjc3ydrm20chxj9rj6q5vm/cancel" }, "version": "f57dfe054a3877003ffe8009426ac0fe0c7caa55ad9bd8c34fa6e2a08b263cf8" }Generated inUsing seed: 9566 Prompt: “Visualize a modern reinterpretation of Leonardo da Vinci’s ‘The Last Supper,’ featuring you as Jesus in the center of the scene. The setting retains the iconic long table and the layout of the original painting, but with contemporary elements blended into the decor. You are depicted with a serene yet engaging expression, dressed in a simple but elegant white robe that echoes traditional depictions of Jesus, yet subtly updated to blend with the modern touches of the room. Around you, the disciples are portrayed as diverse individuals from various contemporary backgrounds, each interacting or reacting to a central discussion point, which you, as Jesus, are addressing. The background includes gothic windows that cast dramatic light across the scene, highlighting your face and the faces of the disciples, creating a powerful yet familiar tableau that bridges past and present.” [!] txt2img mode Using dev model free=7032020312064 Downloading weights 2024-09-13T18:09:36Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp1p5iq7a6/weights url=https://replicate.delivery/yhqm/zu6wcT7Qbi71O9fGHS0kfaakS510kAQTeSy89t7lBkkKDIwmA/trained_model.tar 2024-09-13T18:09:38Z | INFO | [ Complete ] dest=/tmp/tmp1p5iq7a6/weights size="172 MB" total_elapsed=2.633s url=https://replicate.delivery/yhqm/zu6wcT7Qbi71O9fGHS0kfaakS510kAQTeSy89t7lBkkKDIwmA/trained_model.tar Downloaded weights in 2.66s Loaded LoRAs in 19.09s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.49it/s] 7%|▋ | 2/28 [00:00<00:06, 3.95it/s] 11%|█ | 3/28 [00:00<00:06, 3.72it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.63it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.58it/s] 21%|██▏ | 6/28 [00:01<00:06, 3.55it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.53it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.52it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.51it/s] 36%|███▌ | 10/28 [00:02<00:05, 3.51it/s] 39%|███▉ | 11/28 [00:03<00:04, 3.50it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.50it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.50it/s] 50%|█████ | 14/28 [00:03<00:04, 3.50it/s] 54%|█████▎ | 15/28 [00:04<00:03, 3.50it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.50it/s] 61%|██████ | 17/28 [00:04<00:03, 3.50it/s] 64%|██████▍ | 18/28 [00:05<00:02, 3.50it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.50it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.50it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.50it/s] 79%|███████▊ | 22/28 [00:06<00:01, 3.50it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.50it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.49it/s] 89%|████████▉ | 25/28 [00:07<00:00, 3.50it/s] 93%|█████████▎| 26/28 [00:07<00:00, 3.49it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.50it/s] 100%|██████████| 28/28 [00:07<00:00, 3.50it/s] 100%|██████████| 28/28 [00:07<00:00, 3.52it/s]Prediction
0xdeadd/flux-your-model-name:f57dfe054a3877003ffe8009426ac0fe0c7caa55ad9bd8c34fa6e2a08b263cf8IDk88w7b8svhrm20chn9ftkzdqrcStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- A dramatic portrait of a man standing on the balcony of a high-rise in Dubai, with the city’s iconic skyscrapers lit up in the background. The man, resembling Keanu Reeves, wears a sleek black trench coat, and the lights of the Burj Khalifa and other towering buildings illuminate the night sky. The scene is futuristic and luxurious, with the man looking confidently over the bustling city below.
- 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
- 28
{ "model": "dev", "prompt": "A dramatic portrait of a man standing on the balcony of a high-rise in Dubai, with the city’s iconic skyscrapers lit up in the background. The man, resembling Keanu Reeves, wears a sleek black trench coat, and the lights of the Burj Khalifa and other towering buildings illuminate the night sky. The scene is futuristic and luxurious, with the man looking confidently over the bustling city below.", "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": 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 0xdeadd/flux-your-model-name using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "0xdeadd/flux-your-model-name:f57dfe054a3877003ffe8009426ac0fe0c7caa55ad9bd8c34fa6e2a08b263cf8", { input: { model: "dev", prompt: "A dramatic portrait of a man standing on the balcony of a high-rise in Dubai, with the city’s iconic skyscrapers lit up in the background. The man, resembling Keanu Reeves, wears a sleek black trench coat, and the lights of the Burj Khalifa and other towering buildings illuminate the night sky. The scene is futuristic and luxurious, with the man looking confidently over the bustling city below.", 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: 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 0xdeadd/flux-your-model-name using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "0xdeadd/flux-your-model-name:f57dfe054a3877003ffe8009426ac0fe0c7caa55ad9bd8c34fa6e2a08b263cf8", input={ "model": "dev", "prompt": "A dramatic portrait of a man standing on the balcony of a high-rise in Dubai, with the city’s iconic skyscrapers lit up in the background. The man, resembling Keanu Reeves, wears a sleek black trench coat, and the lights of the Burj Khalifa and other towering buildings illuminate the night sky. The scene is futuristic and luxurious, with the man looking confidently over the bustling city below.", "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": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run 0xdeadd/flux-your-model-name 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": "f57dfe054a3877003ffe8009426ac0fe0c7caa55ad9bd8c34fa6e2a08b263cf8", "input": { "model": "dev", "prompt": "A dramatic portrait of a man standing on the balcony of a high-rise in Dubai, with the city’s iconic skyscrapers lit up in the background. The man, resembling Keanu Reeves, wears a sleek black trench coat, and the lights of the Burj Khalifa and other towering buildings illuminate the night sky. The scene is futuristic and luxurious, with the man looking confidently over the bustling city below.", "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": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-31T21:37:53.071590Z", "created_at": "2024-08-31T21:37:24.956000Z", "data_removed": false, "error": null, "id": "k88w7b8svhrm20chn9ftkzdqrc", "input": { "model": "dev", "prompt": "A dramatic portrait of a man standing on the balcony of a high-rise in Dubai, with the city’s iconic skyscrapers lit up in the background. The man, resembling Keanu Reeves, wears a sleek black trench coat, and the lights of the Burj Khalifa and other towering buildings illuminate the night sky. The scene is futuristic and luxurious, with the man looking confidently over the bustling city below.", "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": 28 }, "logs": "Using seed: 36353\nPrompt: A dramatic portrait of a man standing on the balcony of a high-rise in Dubai, with the city’s iconic skyscrapers lit up in the background. The man, resembling Keanu Reeves, wears a sleek black trench coat, and the lights of the Burj Khalifa and other towering buildings illuminate the night sky. The scene is futuristic and luxurious, with the man looking confidently over the bustling city below.\ntxt2img mode\nUsing dev model\nfree=9667784425472\nDownloading weights\n2024-08-31T21:37:34Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpj2le3il5/weights url=https://replicate.delivery/yhqm/zu6wcT7Qbi71O9fGHS0kfaakS510kAQTeSy89t7lBkkKDIwmA/trained_model.tar\n2024-08-31T21:37:35Z | INFO | [ Complete ] dest=/tmp/tmpj2le3il5/weights size=\"172 MB\" total_elapsed=1.554s url=https://replicate.delivery/yhqm/zu6wcT7Qbi71O9fGHS0kfaakS510kAQTeSy89t7lBkkKDIwmA/trained_model.tar\nDownloaded weights in 1.58s\nLoaded LoRAs in 10.69s\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['confidently over the bustling city below.']\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, 3.78it/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, 3.70it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.69it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.69it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.69it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.69it/s]\n 54%|█████▎ | 15/28 [00:04<00:03, 3.69it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.69it/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, 3.69it/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": 18.762509289, "total_time": 28.11559 }, "output": [ "https://replicate.delivery/yhqm/UISiTn4cNc7fUSdLnELNgUop2UqOdvrefmMlzQg6N4fAzPhNB/out-0.webp" ], "started_at": "2024-08-31T21:37:34.309081Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/k88w7b8svhrm20chn9ftkzdqrc", "cancel": "https://api.replicate.com/v1/predictions/k88w7b8svhrm20chn9ftkzdqrc/cancel" }, "version": "f57dfe054a3877003ffe8009426ac0fe0c7caa55ad9bd8c34fa6e2a08b263cf8" }Generated inUsing seed: 36353 Prompt: A dramatic portrait of a man standing on the balcony of a high-rise in Dubai, with the city’s iconic skyscrapers lit up in the background. The man, resembling Keanu Reeves, wears a sleek black trench coat, and the lights of the Burj Khalifa and other towering buildings illuminate the night sky. The scene is futuristic and luxurious, with the man looking confidently over the bustling city below. txt2img mode Using dev model free=9667784425472 Downloading weights 2024-08-31T21:37:34Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpj2le3il5/weights url=https://replicate.delivery/yhqm/zu6wcT7Qbi71O9fGHS0kfaakS510kAQTeSy89t7lBkkKDIwmA/trained_model.tar 2024-08-31T21:37:35Z | INFO | [ Complete ] dest=/tmp/tmpj2le3il5/weights size="172 MB" total_elapsed=1.554s url=https://replicate.delivery/yhqm/zu6wcT7Qbi71O9fGHS0kfaakS510kAQTeSy89t7lBkkKDIwmA/trained_model.tar Downloaded weights in 1.58s Loaded LoRAs in 10.69s The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['confidently over the bustling city below.'] 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, 3.78it/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, 3.70it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.69it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.69it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.69it/s] 50%|█████ | 14/28 [00:03<00:03, 3.69it/s] 54%|█████▎ | 15/28 [00:04<00:03, 3.69it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.69it/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, 3.69it/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
0xdeadd/flux-your-model-name:f57dfe054a3877003ffe8009426ac0fe0c7caa55ad9bd8c34fa6e2a08b263cf8ID1vkkp4dwt9rm60chnatr3zxv38StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- width
- 1408
- prompt
- A portrait of an oil sheik in Saudi Arabia, dressed in traditional robes and a flowing turban, standing confidently in front of a massive oil field with towering oil rigs in the background. The sheik is holding a golden briefcase overflowing with dollar bills, while a luxury car and a pet falcon perched on his shoulder add to the extravagant scene. The backdrop features a desert sunset, with camels walking by and distant city skyscrapers gleaming in the horizon.
- 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
- 28
{ "model": "dev", "width": 1408, "prompt": "A portrait of an oil sheik in Saudi Arabia, dressed in traditional robes and a flowing turban, standing confidently in front of a massive oil field with towering oil rigs in the background. The sheik is holding a golden briefcase overflowing with dollar bills, while a luxury car and a pet falcon perched on his shoulder add to the extravagant scene. The backdrop features a desert sunset, with camels walking by and distant city skyscrapers gleaming in the horizon.", "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": 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 0xdeadd/flux-your-model-name using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "0xdeadd/flux-your-model-name:f57dfe054a3877003ffe8009426ac0fe0c7caa55ad9bd8c34fa6e2a08b263cf8", { input: { model: "dev", width: 1408, prompt: "A portrait of an oil sheik in Saudi Arabia, dressed in traditional robes and a flowing turban, standing confidently in front of a massive oil field with towering oil rigs in the background. The sheik is holding a golden briefcase overflowing with dollar bills, while a luxury car and a pet falcon perched on his shoulder add to the extravagant scene. The backdrop features a desert sunset, with camels walking by and distant city skyscrapers gleaming in the horizon.", 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: 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 0xdeadd/flux-your-model-name using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "0xdeadd/flux-your-model-name:f57dfe054a3877003ffe8009426ac0fe0c7caa55ad9bd8c34fa6e2a08b263cf8", input={ "model": "dev", "width": 1408, "prompt": "A portrait of an oil sheik in Saudi Arabia, dressed in traditional robes and a flowing turban, standing confidently in front of a massive oil field with towering oil rigs in the background. The sheik is holding a golden briefcase overflowing with dollar bills, while a luxury car and a pet falcon perched on his shoulder add to the extravagant scene. The backdrop features a desert sunset, with camels walking by and distant city skyscrapers gleaming in the horizon.", "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": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run 0xdeadd/flux-your-model-name 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": "f57dfe054a3877003ffe8009426ac0fe0c7caa55ad9bd8c34fa6e2a08b263cf8", "input": { "model": "dev", "width": 1408, "prompt": "A portrait of an oil sheik in Saudi Arabia, dressed in traditional robes and a flowing turban, standing confidently in front of a massive oil field with towering oil rigs in the background. The sheik is holding a golden briefcase overflowing with dollar bills, while a luxury car and a pet falcon perched on his shoulder add to the extravagant scene. The backdrop features a desert sunset, with camels walking by and distant city skyscrapers gleaming in the horizon.", "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": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-08-31T23:12:44.455651Z", "created_at": "2024-08-31T23:12:02.770000Z", "data_removed": false, "error": null, "id": "1vkkp4dwt9rm60chnatr3zxv38", "input": { "model": "dev", "width": 1408, "prompt": "A portrait of an oil sheik in Saudi Arabia, dressed in traditional robes and a flowing turban, standing confidently in front of a massive oil field with towering oil rigs in the background. The sheik is holding a golden briefcase overflowing with dollar bills, while a luxury car and a pet falcon perched on his shoulder add to the extravagant scene. The backdrop features a desert sunset, with camels walking by and distant city skyscrapers gleaming in the horizon.", "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": 28 }, "logs": "Using seed: 53436\nPrompt: A portrait of an oil sheik in Saudi Arabia, dressed in traditional robes and a flowing turban, standing confidently in front of a massive oil field with towering oil rigs in the background. The sheik is holding a golden briefcase overflowing with dollar bills, while a luxury car and a pet falcon perched on his shoulder add to the extravagant scene. The backdrop features a desert sunset, with camels walking by and distant city skyscrapers gleaming in the horizon.\ntxt2img mode\nUsing dev model\nfree=9565521940480\nDownloading weights\n2024-08-31T23:12:03Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpfqdi5zs8/weights url=https://replicate.delivery/yhqm/zu6wcT7Qbi71O9fGHS0kfaakS510kAQTeSy89t7lBkkKDIwmA/trained_model.tar\n2024-08-31T23:12:04Z | INFO | [ Complete ] dest=/tmp/tmpfqdi5zs8/weights size=\"172 MB\" total_elapsed=1.605s url=https://replicate.delivery/yhqm/zu6wcT7Qbi71O9fGHS0kfaakS510kAQTeSy89t7lBkkKDIwmA/trained_model.tar\nDownloaded weights in 1.70s\nLoaded LoRAs in 33.32s\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['desert sunset, with camels walking by and distant city skyscrapers gleaming in the horizon.']\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.65it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.20it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.94it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.82it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.76it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.73it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.70it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.69it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.68it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.67it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.67it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.66it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.66it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.66it/s]\n 54%|█████▎ | 15/28 [00:04<00:03, 3.66it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.66it/s]\n 61%|██████ | 17/28 [00:04<00:03, 3.66it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.66it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.66it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.66it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.66it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.66it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.66it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.66it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.66it/s]\n 93%|█████████▎| 26/28 [00:07<00:00, 3.66it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.66it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.65it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.69it/s]", "metrics": { "predict_time": 41.476144335, "total_time": 41.685651 }, "output": [ "https://replicate.delivery/yhqm/nKR5rKH4rmY9HxMWdLof8T8yntCu2Q9FyMYVuLJCB0W2qKsJA/out-0.webp" ], "started_at": "2024-08-31T23:12:02.979507Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/1vkkp4dwt9rm60chnatr3zxv38", "cancel": "https://api.replicate.com/v1/predictions/1vkkp4dwt9rm60chnatr3zxv38/cancel" }, "version": "f57dfe054a3877003ffe8009426ac0fe0c7caa55ad9bd8c34fa6e2a08b263cf8" }Generated inUsing seed: 53436 Prompt: A portrait of an oil sheik in Saudi Arabia, dressed in traditional robes and a flowing turban, standing confidently in front of a massive oil field with towering oil rigs in the background. The sheik is holding a golden briefcase overflowing with dollar bills, while a luxury car and a pet falcon perched on his shoulder add to the extravagant scene. The backdrop features a desert sunset, with camels walking by and distant city skyscrapers gleaming in the horizon. txt2img mode Using dev model free=9565521940480 Downloading weights 2024-08-31T23:12:03Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpfqdi5zs8/weights url=https://replicate.delivery/yhqm/zu6wcT7Qbi71O9fGHS0kfaakS510kAQTeSy89t7lBkkKDIwmA/trained_model.tar 2024-08-31T23:12:04Z | INFO | [ Complete ] dest=/tmp/tmpfqdi5zs8/weights size="172 MB" total_elapsed=1.605s url=https://replicate.delivery/yhqm/zu6wcT7Qbi71O9fGHS0kfaakS510kAQTeSy89t7lBkkKDIwmA/trained_model.tar Downloaded weights in 1.70s Loaded LoRAs in 33.32s The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['desert sunset, with camels walking by and distant city skyscrapers gleaming in the horizon.'] 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.65it/s] 7%|▋ | 2/28 [00:00<00:06, 4.20it/s] 11%|█ | 3/28 [00:00<00:06, 3.94it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.82it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.76it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.73it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.70it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.69it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.68it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.67it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.67it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.66it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.66it/s] 50%|█████ | 14/28 [00:03<00:03, 3.66it/s] 54%|█████▎ | 15/28 [00:04<00:03, 3.66it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.66it/s] 61%|██████ | 17/28 [00:04<00:03, 3.66it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.66it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.66it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.66it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.66it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.66it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.66it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.66it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.66it/s] 93%|█████████▎| 26/28 [00:07<00:00, 3.66it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.66it/s] 100%|██████████| 28/28 [00:07<00:00, 3.65it/s] 100%|██████████| 28/28 [00:07<00:00, 3.69it/s]Prediction
0xdeadd/flux-your-model-name:f57dfe054a3877003ffe8009426ac0fe0c7caa55ad9bd8c34fa6e2a08b263cf8IDhresxp8yedrm40chxmzs99x17rStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- Visualize an astronaut on the surface of Mars, moments after a dramatic and catastrophic landing. The scene is set against the stark, red Martian landscape with a damaged spacecraft partially buried in the sand behind him. The astronaut, clad in a high-tech space suit, is crouched near the wreckage, his helmet visor cracked from the impact, revealing his face marked by a mix of resilience and urgency. Dust and debris are scattered around as a dust storm picks up, adding a chaotic element to the environment. Despite the dire situation, the astronaut is checking a handheld device, possibly signaling for help, showing a determination to survive. The background features the immense Martian mountains and a faintly visible Earth in the sky, highlighting the isolation and severity of the situation.
- lora_scale
- 1
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- prompt_strength
- 0.8
- extra_lora_scale
- 0.8
- num_inference_steps
- 28
{ "model": "dev", "prompt": "Visualize an astronaut on the surface of Mars, moments after a dramatic and catastrophic landing. The scene is set against the stark, red Martian landscape with a damaged spacecraft partially buried in the sand behind him. The astronaut, clad in a high-tech space suit, is crouched near the wreckage, his helmet visor cracked from the impact, revealing his face marked by a mix of resilience and urgency. Dust and debris are scattered around as a dust storm picks up, adding a chaotic element to the environment. Despite the dire situation, the astronaut is checking a handheld device, possibly signaling for help, showing a determination to survive. The background features the immense Martian mountains and a faintly visible Earth in the sky, highlighting the isolation and severity of the situation.", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 0.8, "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 0xdeadd/flux-your-model-name using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "0xdeadd/flux-your-model-name:f57dfe054a3877003ffe8009426ac0fe0c7caa55ad9bd8c34fa6e2a08b263cf8", { input: { model: "dev", prompt: "Visualize an astronaut on the surface of Mars, moments after a dramatic and catastrophic landing. The scene is set against the stark, red Martian landscape with a damaged spacecraft partially buried in the sand behind him. The astronaut, clad in a high-tech space suit, is crouched near the wreckage, his helmet visor cracked from the impact, revealing his face marked by a mix of resilience and urgency. Dust and debris are scattered around as a dust storm picks up, adding a chaotic element to the environment. Despite the dire situation, the astronaut is checking a handheld device, possibly signaling for help, showing a determination to survive. The background features the immense Martian mountains and a faintly visible Earth in the sky, highlighting the isolation and severity of the situation.", lora_scale: 1, num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 80, prompt_strength: 0.8, 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 0xdeadd/flux-your-model-name using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "0xdeadd/flux-your-model-name:f57dfe054a3877003ffe8009426ac0fe0c7caa55ad9bd8c34fa6e2a08b263cf8", input={ "model": "dev", "prompt": "Visualize an astronaut on the surface of Mars, moments after a dramatic and catastrophic landing. The scene is set against the stark, red Martian landscape with a damaged spacecraft partially buried in the sand behind him. The astronaut, clad in a high-tech space suit, is crouched near the wreckage, his helmet visor cracked from the impact, revealing his face marked by a mix of resilience and urgency. Dust and debris are scattered around as a dust storm picks up, adding a chaotic element to the environment. Despite the dire situation, the astronaut is checking a handheld device, possibly signaling for help, showing a determination to survive. The background features the immense Martian mountains and a faintly visible Earth in the sky, highlighting the isolation and severity of the situation.", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 0.8, "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 0xdeadd/flux-your-model-name 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": "f57dfe054a3877003ffe8009426ac0fe0c7caa55ad9bd8c34fa6e2a08b263cf8", "input": { "model": "dev", "prompt": "Visualize an astronaut on the surface of Mars, moments after a dramatic and catastrophic landing. The scene is set against the stark, red Martian landscape with a damaged spacecraft partially buried in the sand behind him. The astronaut, clad in a high-tech space suit, is crouched near the wreckage, his helmet visor cracked from the impact, revealing his face marked by a mix of resilience and urgency. Dust and debris are scattered around as a dust storm picks up, adding a chaotic element to the environment. Despite the dire situation, the astronaut is checking a handheld device, possibly signaling for help, showing a determination to survive. The background features the immense Martian mountains and a faintly visible Earth in the sky, highlighting the isolation and severity of the situation.", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 0.8, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-09-13T21:17:30.914123Z", "created_at": "2024-09-13T21:17:02.451000Z", "data_removed": false, "error": null, "id": "hresxp8yedrm40chxmzs99x17r", "input": { "model": "dev", "prompt": "Visualize an astronaut on the surface of Mars, moments after a dramatic and catastrophic landing. The scene is set against the stark, red Martian landscape with a damaged spacecraft partially buried in the sand behind him. The astronaut, clad in a high-tech space suit, is crouched near the wreckage, his helmet visor cracked from the impact, revealing his face marked by a mix of resilience and urgency. Dust and debris are scattered around as a dust storm picks up, adding a chaotic element to the environment. Despite the dire situation, the astronaut is checking a handheld device, possibly signaling for help, showing a determination to survive. The background features the immense Martian mountains and a faintly visible Earth in the sky, highlighting the isolation and severity of the situation.", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 0.8, "num_inference_steps": 28 }, "logs": "Using seed: 25203\nPrompt: Visualize an astronaut on the surface of Mars, moments after a dramatic and catastrophic landing. The scene is set against the stark, red Martian landscape with a damaged spacecraft partially buried in the sand behind him. The astronaut, clad in a high-tech space suit, is crouched near the wreckage, his helmet visor cracked from the impact, revealing his face marked by a mix of resilience and urgency. Dust and debris are scattered around as a dust storm picks up, adding a chaotic element to the environment. Despite the dire situation, the astronaut is checking a handheld device, possibly signaling for help, showing a determination to survive. The background features the immense Martian mountains and a faintly visible Earth in the sky, highlighting the isolation and severity of the situation.\n[!] txt2img mode\nUsing dev model\nfree=7210633719808\nDownloading weights\n2024-09-13T21:17:12Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp1mz4kmci/weights url=https://replicate.delivery/yhqm/zu6wcT7Qbi71O9fGHS0kfaakS510kAQTeSy89t7lBkkKDIwmA/trained_model.tar\n2024-09-13T21:17:14Z | INFO | [ Complete ] dest=/tmp/tmp1mz4kmci/weights size=\"172 MB\" total_elapsed=1.393s url=https://replicate.delivery/yhqm/zu6wcT7Qbi71O9fGHS0kfaakS510kAQTeSy89t7lBkkKDIwmA/trained_model.tar\nDownloaded weights in 1.43s\nLoaded LoRAs in 9.96s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.55it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.02it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.79it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.69it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.64it/s]\n 21%|██▏ | 6/28 [00:01<00:06, 3.61it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.59it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.58it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.57it/s]\n 36%|███▌ | 10/28 [00:02<00:05, 3.56it/s]\n 39%|███▉ | 11/28 [00:03<00:04, 3.56it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.56it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.55it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.55it/s]\n 54%|█████▎ | 15/28 [00:04<00:03, 3.55it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.55it/s]\n 61%|██████ | 17/28 [00:04<00:03, 3.55it/s]\n 64%|██████▍ | 18/28 [00:05<00:02, 3.55it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.55it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.55it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.56it/s]\n 79%|███████▊ | 22/28 [00:06<00:01, 3.56it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.56it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.56it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.56it/s]\n 93%|█████████▎| 26/28 [00:07<00:00, 3.56it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.56it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.56it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.58it/s]", "metrics": { "predict_time": 18.115846632, "total_time": 28.463123 }, "output": [ "https://replicate.delivery/yhqm/v7W5WDAIe0XnbSfMkJohHsU90fUFNQWzvVa0KidfJ1OreukbC/out-0.webp" ], "started_at": "2024-09-13T21:17:12.798277Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/hresxp8yedrm40chxmzs99x17r", "cancel": "https://api.replicate.com/v1/predictions/hresxp8yedrm40chxmzs99x17r/cancel" }, "version": "f57dfe054a3877003ffe8009426ac0fe0c7caa55ad9bd8c34fa6e2a08b263cf8" }Generated inUsing seed: 25203 Prompt: Visualize an astronaut on the surface of Mars, moments after a dramatic and catastrophic landing. The scene is set against the stark, red Martian landscape with a damaged spacecraft partially buried in the sand behind him. The astronaut, clad in a high-tech space suit, is crouched near the wreckage, his helmet visor cracked from the impact, revealing his face marked by a mix of resilience and urgency. Dust and debris are scattered around as a dust storm picks up, adding a chaotic element to the environment. Despite the dire situation, the astronaut is checking a handheld device, possibly signaling for help, showing a determination to survive. The background features the immense Martian mountains and a faintly visible Earth in the sky, highlighting the isolation and severity of the situation. [!] txt2img mode Using dev model free=7210633719808 Downloading weights 2024-09-13T21:17:12Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp1mz4kmci/weights url=https://replicate.delivery/yhqm/zu6wcT7Qbi71O9fGHS0kfaakS510kAQTeSy89t7lBkkKDIwmA/trained_model.tar 2024-09-13T21:17:14Z | INFO | [ Complete ] dest=/tmp/tmp1mz4kmci/weights size="172 MB" total_elapsed=1.393s url=https://replicate.delivery/yhqm/zu6wcT7Qbi71O9fGHS0kfaakS510kAQTeSy89t7lBkkKDIwmA/trained_model.tar Downloaded weights in 1.43s Loaded LoRAs in 9.96s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.55it/s] 7%|▋ | 2/28 [00:00<00:06, 4.02it/s] 11%|█ | 3/28 [00:00<00:06, 3.79it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.69it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.64it/s] 21%|██▏ | 6/28 [00:01<00:06, 3.61it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.59it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.58it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.57it/s] 36%|███▌ | 10/28 [00:02<00:05, 3.56it/s] 39%|███▉ | 11/28 [00:03<00:04, 3.56it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.56it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.55it/s] 50%|█████ | 14/28 [00:03<00:03, 3.55it/s] 54%|█████▎ | 15/28 [00:04<00:03, 3.55it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.55it/s] 61%|██████ | 17/28 [00:04<00:03, 3.55it/s] 64%|██████▍ | 18/28 [00:05<00:02, 3.55it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.55it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.55it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.56it/s] 79%|███████▊ | 22/28 [00:06<00:01, 3.56it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.56it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.56it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.56it/s] 93%|█████████▎| 26/28 [00:07<00:00, 3.56it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.56it/s] 100%|██████████| 28/28 [00:07<00:00, 3.56it/s] 100%|██████████| 28/28 [00:07<00:00, 3.58it/s]
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