fofr
/
flux-nobel-prize-2024
Flux lora to generate a nobel prize winner
- Public
- 378 runs
-
H100
Prediction
fofr/flux-nobel-prize-2024:f2632c4dID9cpp7mp5ynrm00cje40sgmcgzcStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- A NOBEL24 portrait illustration of a robot, gold and black pen sketch on textured paper. The title says "THE NOBEL PRIZE IN AI 2024". A red burgundy footer overlay at the bottom has the text "Gen AI" and "for all the memes".
- extra_lora
- lora_scale
- 0.9
- num_outputs
- 4
- aspect_ratio
- 4:5
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 90
- prompt_strength
- 0.8
- extra_lora_scale
- 1.1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "A NOBEL24 portrait illustration of a robot, gold and black pen sketch on textured paper. The title says \"THE NOBEL PRIZE IN AI 2024\". A red burgundy footer overlay at the bottom has the text \"Gen AI\" and \"for all the memes\".\n", "extra_lora": "", "lora_scale": 0.9, "num_outputs": 4, "aspect_ratio": "4:5", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1.1, "num_inference_steps": 28 }
npm install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import and set up the clientimport Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run fofr/flux-nobel-prize-2024 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fofr/flux-nobel-prize-2024:f2632c4d12130e7383f6c1837c7e73411b1e344cc8b4f8cbf9a387bd3e287e44", { input: { model: "dev", prompt: "A NOBEL24 portrait illustration of a robot, gold and black pen sketch on textured paper. The title says \"THE NOBEL PRIZE IN AI 2024\". A red burgundy footer overlay at the bottom has the text \"Gen AI\" and \"for all the memes\".\n", extra_lora: "", lora_scale: 0.9, num_outputs: 4, aspect_ratio: "4:5", output_format: "webp", guidance_scale: 3.5, output_quality: 90, prompt_strength: 0.8, extra_lora_scale: 1.1, num_inference_steps: 28 } } ); console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import the clientimport replicate
Run fofr/flux-nobel-prize-2024 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fofr/flux-nobel-prize-2024:f2632c4d12130e7383f6c1837c7e73411b1e344cc8b4f8cbf9a387bd3e287e44", input={ "model": "dev", "prompt": "A NOBEL24 portrait illustration of a robot, gold and black pen sketch on textured paper. The title says \"THE NOBEL PRIZE IN AI 2024\". A red burgundy footer overlay at the bottom has the text \"Gen AI\" and \"for all the memes\".\n", "extra_lora": "", "lora_scale": 0.9, "num_outputs": 4, "aspect_ratio": "4:5", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1.1, "num_inference_steps": 28 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run fofr/flux-nobel-prize-2024 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": "f2632c4d12130e7383f6c1837c7e73411b1e344cc8b4f8cbf9a387bd3e287e44", "input": { "model": "dev", "prompt": "A NOBEL24 portrait illustration of a robot, gold and black pen sketch on textured paper. The title says \\"THE NOBEL PRIZE IN AI 2024\\". A red burgundy footer overlay at the bottom has the text \\"Gen AI\\" and \\"for all the memes\\".\\n", "extra_lora": "", "lora_scale": 0.9, "num_outputs": 4, "aspect_ratio": "4:5", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1.1, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-10-09T11:20:29.585152Z", "created_at": "2024-10-09T11:19:54.613000Z", "data_removed": false, "error": null, "id": "9cpp7mp5ynrm00cje40sgmcgzc", "input": { "model": "dev", "prompt": "A NOBEL24 portrait illustration of a robot, gold and black pen sketch on textured paper. The title says \"THE NOBEL PRIZE IN AI 2024\". A red burgundy footer overlay at the bottom has the text \"Gen AI\" and \"for all the memes\".\n", "extra_lora": "", "lora_scale": 0.9, "num_outputs": 4, "aspect_ratio": "4:5", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1.1, "num_inference_steps": 28 }, "logs": "Using seed: 23879\nPrompt: A NOBEL24 portrait illustration of a robot, gold and black pen sketch on textured paper. The title says \"THE NOBEL PRIZE IN AI 2024\". A red burgundy footer overlay at the bottom has the text \"Gen AI\" and \"for all the memes\".\n[!] txt2img mode\nUsing dev model\nLoaded LoRAs in 0.60s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:01<00:32, 1.20s/it]\n 7%|▋ | 2/28 [00:02<00:28, 1.09s/it]\n 11%|█ | 3/28 [00:03<00:28, 1.13s/it]\n 14%|█▍ | 4/28 [00:04<00:27, 1.16s/it]\n 18%|█▊ | 5/28 [00:05<00:26, 1.17s/it]\n 21%|██▏ | 6/28 [00:06<00:25, 1.18s/it]\n 25%|██▌ | 7/28 [00:08<00:24, 1.18s/it]\n 29%|██▊ | 8/28 [00:09<00:23, 1.19s/it]\n 32%|███▏ | 9/28 [00:10<00:22, 1.19s/it]\n 36%|███▌ | 10/28 [00:11<00:21, 1.19s/it]\n 39%|███▉ | 11/28 [00:12<00:20, 1.19s/it]\n 43%|████▎ | 12/28 [00:14<00:19, 1.19s/it]\n 46%|████▋ | 13/28 [00:15<00:17, 1.19s/it]\n 50%|█████ | 14/28 [00:16<00:16, 1.19s/it]\n 54%|█████▎ | 15/28 [00:17<00:15, 1.19s/it]\n 57%|█████▋ | 16/28 [00:18<00:14, 1.19s/it]\n 61%|██████ | 17/28 [00:20<00:13, 1.19s/it]\n 64%|██████▍ | 18/28 [00:21<00:11, 1.19s/it]\n 68%|██████▊ | 19/28 [00:22<00:10, 1.19s/it]\n 71%|███████▏ | 20/28 [00:23<00:09, 1.19s/it]\n 75%|███████▌ | 21/28 [00:24<00:08, 1.19s/it]\n 79%|███████▊ | 22/28 [00:26<00:07, 1.19s/it]\n 82%|████████▏ | 23/28 [00:27<00:05, 1.19s/it]\n 86%|████████▌ | 24/28 [00:28<00:04, 1.19s/it]\n 89%|████████▉ | 25/28 [00:29<00:03, 1.19s/it]\n 93%|█████████▎| 26/28 [00:30<00:02, 1.19s/it]\n 96%|█████████▋| 27/28 [00:31<00:01, 1.19s/it]\n100%|██████████| 28/28 [00:33<00:00, 1.19s/it]\n100%|██████████| 28/28 [00:33<00:00, 1.18s/it]", "metrics": { "predict_time": 34.962278029, "total_time": 34.972152 }, "output": [ "https://replicate.delivery/yhqm/YbpuQiKhfdV4Aaoe1Iv5uBfGoyVfofFTS5UQ6mKYn6wvfYQ5E/out-0.webp", "https://replicate.delivery/yhqm/SBpEWvc99h5KAVYxCUaw1mq1NfYmljvJM4YE3g90wQ1ejBlTA/out-1.webp", "https://replicate.delivery/yhqm/olvja3e4YjVKeE8hp9XdOgjTUJP9qrQuZJltE5n5u3a9jBlTA/out-2.webp", "https://replicate.delivery/yhqm/UpAZlQHQ9kaLJ9PUEscN2VQpUbSeDRvcfHsPiRV1nnK9jBlTA/out-3.webp" ], "started_at": "2024-10-09T11:19:54.622874Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/9cpp7mp5ynrm00cje40sgmcgzc", "cancel": "https://api.replicate.com/v1/predictions/9cpp7mp5ynrm00cje40sgmcgzc/cancel" }, "version": "f2632c4d12130e7383f6c1837c7e73411b1e344cc8b4f8cbf9a387bd3e287e44" }
Generated inUsing seed: 23879 Prompt: A NOBEL24 portrait illustration of a robot, gold and black pen sketch on textured paper. The title says "THE NOBEL PRIZE IN AI 2024". A red burgundy footer overlay at the bottom has the text "Gen AI" and "for all the memes". [!] txt2img mode Using dev model Loaded LoRAs in 0.60s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:32, 1.20s/it] 7%|▋ | 2/28 [00:02<00:28, 1.09s/it] 11%|█ | 3/28 [00:03<00:28, 1.13s/it] 14%|█▍ | 4/28 [00:04<00:27, 1.16s/it] 18%|█▊ | 5/28 [00:05<00:26, 1.17s/it] 21%|██▏ | 6/28 [00:06<00:25, 1.18s/it] 25%|██▌ | 7/28 [00:08<00:24, 1.18s/it] 29%|██▊ | 8/28 [00:09<00:23, 1.19s/it] 32%|███▏ | 9/28 [00:10<00:22, 1.19s/it] 36%|███▌ | 10/28 [00:11<00:21, 1.19s/it] 39%|███▉ | 11/28 [00:12<00:20, 1.19s/it] 43%|████▎ | 12/28 [00:14<00:19, 1.19s/it] 46%|████▋ | 13/28 [00:15<00:17, 1.19s/it] 50%|█████ | 14/28 [00:16<00:16, 1.19s/it] 54%|█████▎ | 15/28 [00:17<00:15, 1.19s/it] 57%|█████▋ | 16/28 [00:18<00:14, 1.19s/it] 61%|██████ | 17/28 [00:20<00:13, 1.19s/it] 64%|██████▍ | 18/28 [00:21<00:11, 1.19s/it] 68%|██████▊ | 19/28 [00:22<00:10, 1.19s/it] 71%|███████▏ | 20/28 [00:23<00:09, 1.19s/it] 75%|███████▌ | 21/28 [00:24<00:08, 1.19s/it] 79%|███████▊ | 22/28 [00:26<00:07, 1.19s/it] 82%|████████▏ | 23/28 [00:27<00:05, 1.19s/it] 86%|████████▌ | 24/28 [00:28<00:04, 1.19s/it] 89%|████████▉ | 25/28 [00:29<00:03, 1.19s/it] 93%|█████████▎| 26/28 [00:30<00:02, 1.19s/it] 96%|█████████▋| 27/28 [00:31<00:01, 1.19s/it] 100%|██████████| 28/28 [00:33<00:00, 1.19s/it] 100%|██████████| 28/28 [00:33<00:00, 1.18s/it]
Prediction
fofr/flux-nobel-prize-2024:f2632c4dIDpejd4h3nn9rm20cje3tr5n95frStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- A NOBEL24 illustration of a funny looking dog, a gold and black pen sketch on textured paper. The title says "THE NOBEL PRIZE IN AI 2024". A burgundy footer says "Gen AI", "for all the memes". A footer says "AI LOL".
- extra_lora
- lora_scale
- 0.9
- num_outputs
- 4
- aspect_ratio
- 4:5
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 90
- prompt_strength
- 0.8
- extra_lora_scale
- 1.1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "A NOBEL24 illustration of a funny looking dog, a gold and black pen sketch on textured paper. The title says \"THE NOBEL PRIZE IN AI 2024\". A burgundy footer says \"Gen AI\", \"for all the memes\". A footer says \"AI LOL\".\n", "extra_lora": "", "lora_scale": 0.9, "num_outputs": 4, "aspect_ratio": "4:5", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1.1, "num_inference_steps": 28 }
npm install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import and set up the clientimport Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run fofr/flux-nobel-prize-2024 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fofr/flux-nobel-prize-2024:f2632c4d12130e7383f6c1837c7e73411b1e344cc8b4f8cbf9a387bd3e287e44", { input: { model: "dev", prompt: "A NOBEL24 illustration of a funny looking dog, a gold and black pen sketch on textured paper. The title says \"THE NOBEL PRIZE IN AI 2024\". A burgundy footer says \"Gen AI\", \"for all the memes\". A footer says \"AI LOL\".\n", extra_lora: "", lora_scale: 0.9, num_outputs: 4, aspect_ratio: "4:5", output_format: "webp", guidance_scale: 3.5, output_quality: 90, prompt_strength: 0.8, extra_lora_scale: 1.1, num_inference_steps: 28 } } ); console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import the clientimport replicate
Run fofr/flux-nobel-prize-2024 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fofr/flux-nobel-prize-2024:f2632c4d12130e7383f6c1837c7e73411b1e344cc8b4f8cbf9a387bd3e287e44", input={ "model": "dev", "prompt": "A NOBEL24 illustration of a funny looking dog, a gold and black pen sketch on textured paper. The title says \"THE NOBEL PRIZE IN AI 2024\". A burgundy footer says \"Gen AI\", \"for all the memes\". A footer says \"AI LOL\".\n", "extra_lora": "", "lora_scale": 0.9, "num_outputs": 4, "aspect_ratio": "4:5", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1.1, "num_inference_steps": 28 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKEN
environment variableexport REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run fofr/flux-nobel-prize-2024 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": "f2632c4d12130e7383f6c1837c7e73411b1e344cc8b4f8cbf9a387bd3e287e44", "input": { "model": "dev", "prompt": "A NOBEL24 illustration of a funny looking dog, a gold and black pen sketch on textured paper. The title says \\"THE NOBEL PRIZE IN AI 2024\\". A burgundy footer says \\"Gen AI\\", \\"for all the memes\\". A footer says \\"AI LOL\\".\\n", "extra_lora": "", "lora_scale": 0.9, "num_outputs": 4, "aspect_ratio": "4:5", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1.1, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-10-09T11:07:05.788402Z", "created_at": "2024-10-09T11:06:27.626000Z", "data_removed": false, "error": null, "id": "pejd4h3nn9rm20cje3tr5n95fr", "input": { "model": "dev", "prompt": "A NOBEL24 illustration of a funny looking dog, a gold and black pen sketch on textured paper. The title says \"THE NOBEL PRIZE IN AI 2024\". A burgundy footer says \"Gen AI\", \"for all the memes\". A footer says \"AI LOL\".\n", "extra_lora": "", "lora_scale": 0.9, "num_outputs": 4, "aspect_ratio": "4:5", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1.1, "num_inference_steps": 28 }, "logs": "Using seed: 9399\nPrompt: A NOBEL24 illustration of a funny looking dog, a gold and black pen sketch on textured paper. The title says \"THE NOBEL PRIZE IN AI 2024\". A burgundy footer says \"Gen AI\", \"for all the memes\". A footer says \"AI LOL\".\n[!] txt2img mode\nUsing dev model\nLoaded LoRAs in 0.60s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:01<00:32, 1.20s/it]\n 7%|▋ | 2/28 [00:02<00:28, 1.09s/it]\n 11%|█ | 3/28 [00:03<00:28, 1.14s/it]\n 14%|█▍ | 4/28 [00:04<00:27, 1.16s/it]\n 18%|█▊ | 5/28 [00:05<00:27, 1.17s/it]\n 21%|██▏ | 6/28 [00:07<00:25, 1.18s/it]\n 25%|██▌ | 7/28 [00:08<00:24, 1.19s/it]\n 29%|██▊ | 8/28 [00:09<00:23, 1.19s/it]\n 32%|███▏ | 9/28 [00:10<00:22, 1.19s/it]\n 36%|███▌ | 10/28 [00:11<00:21, 1.19s/it]\n 39%|███▉ | 11/28 [00:12<00:20, 1.19s/it]\n 43%|████▎ | 12/28 [00:14<00:19, 1.19s/it]\n 46%|████▋ | 13/28 [00:15<00:17, 1.19s/it]\n 50%|█████ | 14/28 [00:16<00:16, 1.20s/it]\n 54%|█████▎ | 15/28 [00:17<00:15, 1.20s/it]\n 57%|█████▋ | 16/28 [00:18<00:14, 1.20s/it]\n 61%|██████ | 17/28 [00:20<00:13, 1.20s/it]\n 64%|██████▍ | 18/28 [00:21<00:11, 1.20s/it]\n 68%|██████▊ | 19/28 [00:22<00:10, 1.20s/it]\n 71%|███████▏ | 20/28 [00:23<00:09, 1.20s/it]\n 75%|███████▌ | 21/28 [00:24<00:08, 1.20s/it]\n 79%|███████▊ | 22/28 [00:26<00:07, 1.20s/it]\n 82%|████████▏ | 23/28 [00:27<00:05, 1.20s/it]\n 86%|████████▌ | 24/28 [00:28<00:04, 1.20s/it]\n 89%|████████▉ | 25/28 [00:29<00:03, 1.20s/it]\n 93%|█████████▎| 26/28 [00:30<00:02, 1.20s/it]\n 96%|█████████▋| 27/28 [00:32<00:01, 1.20s/it]\n100%|██████████| 28/28 [00:33<00:00, 1.20s/it]\n100%|██████████| 28/28 [00:33<00:00, 1.19s/it]", "metrics": { "predict_time": 35.082381258, "total_time": 38.162402 }, "output": [ "https://replicate.delivery/yhqm/n50uvhmfAx2vUyxNJdCoOVCFWB1jehn2fnpKNoK0ro2yuCKnA/out-0.webp", "https://replicate.delivery/yhqm/uOo5HzGVxapbG1IsK7KAziZvwmKVfJpo2T9nffEz0h6zuCKnA/out-1.webp", "https://replicate.delivery/yhqm/GqJykufwuH2dJKJvgXqkolQRSeaFJSsg7hvlU93DRkaZXBlTA/out-2.webp", "https://replicate.delivery/yhqm/z65sp80V31JLLxldBtgvIZTM1NiN5UGP39mPEWDs9BR2VQ5E/out-3.webp" ], "started_at": "2024-10-09T11:06:30.706021Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/pejd4h3nn9rm20cje3tr5n95fr", "cancel": "https://api.replicate.com/v1/predictions/pejd4h3nn9rm20cje3tr5n95fr/cancel" }, "version": "f2632c4d12130e7383f6c1837c7e73411b1e344cc8b4f8cbf9a387bd3e287e44" }
Generated inUsing seed: 9399 Prompt: A NOBEL24 illustration of a funny looking dog, a gold and black pen sketch on textured paper. The title says "THE NOBEL PRIZE IN AI 2024". A burgundy footer says "Gen AI", "for all the memes". A footer says "AI LOL". [!] txt2img mode Using dev model Loaded LoRAs in 0.60s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:32, 1.20s/it] 7%|▋ | 2/28 [00:02<00:28, 1.09s/it] 11%|█ | 3/28 [00:03<00:28, 1.14s/it] 14%|█▍ | 4/28 [00:04<00:27, 1.16s/it] 18%|█▊ | 5/28 [00:05<00:27, 1.17s/it] 21%|██▏ | 6/28 [00:07<00:25, 1.18s/it] 25%|██▌ | 7/28 [00:08<00:24, 1.19s/it] 29%|██▊ | 8/28 [00:09<00:23, 1.19s/it] 32%|███▏ | 9/28 [00:10<00:22, 1.19s/it] 36%|███▌ | 10/28 [00:11<00:21, 1.19s/it] 39%|███▉ | 11/28 [00:12<00:20, 1.19s/it] 43%|████▎ | 12/28 [00:14<00:19, 1.19s/it] 46%|████▋ | 13/28 [00:15<00:17, 1.19s/it] 50%|█████ | 14/28 [00:16<00:16, 1.20s/it] 54%|█████▎ | 15/28 [00:17<00:15, 1.20s/it] 57%|█████▋ | 16/28 [00:18<00:14, 1.20s/it] 61%|██████ | 17/28 [00:20<00:13, 1.20s/it] 64%|██████▍ | 18/28 [00:21<00:11, 1.20s/it] 68%|██████▊ | 19/28 [00:22<00:10, 1.20s/it] 71%|███████▏ | 20/28 [00:23<00:09, 1.20s/it] 75%|███████▌ | 21/28 [00:24<00:08, 1.20s/it] 79%|███████▊ | 22/28 [00:26<00:07, 1.20s/it] 82%|████████▏ | 23/28 [00:27<00:05, 1.20s/it] 86%|████████▌ | 24/28 [00:28<00:04, 1.20s/it] 89%|████████▉ | 25/28 [00:29<00:03, 1.20s/it] 93%|█████████▎| 26/28 [00:30<00:02, 1.20s/it] 96%|█████████▋| 27/28 [00:32<00:01, 1.20s/it] 100%|██████████| 28/28 [00:33<00:00, 1.20s/it] 100%|██████████| 28/28 [00:33<00:00, 1.19s/it]
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