Prediction
eagle13colab/bryan:346f37f6168424de9b87b11a100b661a1284aecb44c0f2096d5d4b985acab638IDdar7nkz73drmc0ckat5r3rbqywStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- Write a Prompt for replicate and the trigger word for the ma. A Bks is up on stage at a concert. He is playing a Epiphone acoustic guitar and is dressed in a 10,000 $ suit. The concert is located on a Hawaii beach. It has a beautiful paradise feeling.. with palm trees.. the crowd there to see the show are all sexy beautiful woman.. wearing bathing suits.. they are cheering , clapping enjoying the show.. and the all love Bks. The woman are of all races and ethnicity.. from black, to Asian, to Mexican to Russian..
- lora_scale
- 1
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 90
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "Write a Prompt for replicate and the trigger word for the ma. \n\nA Bks is up on stage at a concert. He is playing a Epiphone acoustic guitar and is dressed in a 10,000 $ suit. The concert is located on a Hawaii beach. It has a beautiful paradise feeling.. with palm trees.. the crowd there to see the show are all sexy beautiful woman.. wearing bathing suits.. they are cheering , clapping enjoying the show.. and the all love Bks. The woman are of all races and ethnicity.. from black, to Asian, to Mexican to Russian..\n\n\n\n\n\n\n\n\n\n\n \n\n\n\n\n\n", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run eagle13colab/bryan using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "eagle13colab/bryan:346f37f6168424de9b87b11a100b661a1284aecb44c0f2096d5d4b985acab638", { input: { model: "dev", prompt: "Write a Prompt for replicate and the trigger word for the ma. \n\nA Bks is up on stage at a concert. He is playing a Epiphone acoustic guitar and is dressed in a 10,000 $ suit. The concert is located on a Hawaii beach. It has a beautiful paradise feeling.. with palm trees.. the crowd there to see the show are all sexy beautiful woman.. wearing bathing suits.. they are cheering , clapping enjoying the show.. and the all love Bks. The woman are of all races and ethnicity.. from black, to Asian, to Mexican to Russian..\n\n\n\n\n\n\n\n\n\n\n \n\n\n\n\n\n", lora_scale: 1, num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 90, prompt_strength: 0.8, extra_lora_scale: 1, 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 eagle13colab/bryan using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "eagle13colab/bryan:346f37f6168424de9b87b11a100b661a1284aecb44c0f2096d5d4b985acab638", input={ "model": "dev", "prompt": "Write a Prompt for replicate and the trigger word for the ma. \n\nA Bks is up on stage at a concert. He is playing a Epiphone acoustic guitar and is dressed in a 10,000 $ suit. The concert is located on a Hawaii beach. It has a beautiful paradise feeling.. with palm trees.. the crowd there to see the show are all sexy beautiful woman.. wearing bathing suits.. they are cheering , clapping enjoying the show.. and the all love Bks. The woman are of all races and ethnicity.. from black, to Asian, to Mexican to Russian..\n\n\n\n\n\n\n\n\n\n\n \n\n\n\n\n\n", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } ) # To access the file URL: print(output[0].url()) #=> "http://example.com" # To write the file to disk: with open("my-image.png", "wb") as file: file.write(output[0].read())To learn more, take a look at the guide on getting started with Python.
Run eagle13colab/bryan 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": "eagle13colab/bryan:346f37f6168424de9b87b11a100b661a1284aecb44c0f2096d5d4b985acab638", "input": { "model": "dev", "prompt": "Write a Prompt for replicate and the trigger word for the ma. \\n\\nA Bks is up on stage at a concert. He is playing a Epiphone acoustic guitar and is dressed in a 10,000 $ suit. The concert is located on a Hawaii beach. It has a beautiful paradise feeling.. with palm trees.. the crowd there to see the show are all sexy beautiful woman.. wearing bathing suits.. they are cheering , clapping enjoying the show.. and the all love Bks. The woman are of all races and ethnicity.. from black, to Asian, to Mexican to Russian..\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n \\n\\n\\n\\n\\n\\n", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "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": "2024-11-23T01:03:58.928794Z", "created_at": "2024-11-23T01:03:49.531000Z", "data_removed": false, "error": null, "id": "dar7nkz73drmc0ckat5r3rbqyw", "input": { "model": "dev", "prompt": "Write a Prompt for replicate and the trigger word for the ma. \n\nA Bks is up on stage at a concert. He is playing a Epiphone acoustic guitar and is dressed in a 10,000 $ suit. The concert is located on a Hawaii beach. It has a beautiful paradise feeling.. with palm trees.. the crowd there to see the show are all sexy beautiful woman.. wearing bathing suits.. they are cheering , clapping enjoying the show.. and the all love Bks. The woman are of all races and ethnicity.. from black, to Asian, to Mexican to Russian..\n\n\n\n\n\n\n\n\n\n\n \n\n\n\n\n\n", "lora_scale": 1, "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "Using seed: 11409\nPrompt: Write a Prompt for replicate and the trigger word for the ma.\nA Bks is up on stage at a concert. He is playing a Epiphone acoustic guitar and is dressed in a 10,000 $ suit. The concert is located on a Hawaii beach. It has a beautiful paradise feeling.. with palm trees.. the crowd there to see the show are all sexy beautiful woman.. wearing bathing suits.. they are cheering , clapping enjoying the show.. and the all love Bks. The woman are of all races and ethnicity.. from black, to Asian, to Mexican to Russian..\n[!] txt2img mode\nUsing dev model\nWeights already loaded\nLoaded LoRAs in 0.02s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:08, 3.07it/s]\n 7%|▋ | 2/28 [00:00<00:07, 3.43it/s]\n 11%|█ | 3/28 [00:00<00:07, 3.25it/s]\n 14%|█▍ | 4/28 [00:01<00:07, 3.18it/s]\n 18%|█▊ | 5/28 [00:01<00:07, 3.14it/s]\n 21%|██▏ | 6/28 [00:01<00:07, 3.12it/s]\n 25%|██▌ | 7/28 [00:02<00:06, 3.10it/s]\n 29%|██▊ | 8/28 [00:02<00:06, 3.09it/s]\n 32%|███▏ | 9/28 [00:02<00:06, 3.08it/s]\n 36%|███▌ | 10/28 [00:03<00:05, 3.08it/s]\n 39%|███▉ | 11/28 [00:03<00:05, 3.08it/s]\n 43%|████▎ | 12/28 [00:03<00:05, 3.07it/s]\n 46%|████▋ | 13/28 [00:04<00:04, 3.07it/s]\n 50%|█████ | 14/28 [00:04<00:04, 3.07it/s]\n 54%|█████▎ | 15/28 [00:04<00:04, 3.07it/s]\n 57%|█████▋ | 16/28 [00:05<00:03, 3.07it/s]\n 61%|██████ | 17/28 [00:05<00:03, 3.07it/s]\n 64%|██████▍ | 18/28 [00:05<00:03, 3.07it/s]\n 68%|██████▊ | 19/28 [00:06<00:02, 3.06it/s]\n 71%|███████▏ | 20/28 [00:06<00:02, 3.07it/s]\n 75%|███████▌ | 21/28 [00:06<00:02, 3.06it/s]\n 79%|███████▊ | 22/28 [00:07<00:01, 3.06it/s]\n 82%|████████▏ | 23/28 [00:07<00:01, 3.06it/s]\n 86%|████████▌ | 24/28 [00:07<00:01, 3.07it/s]\n 89%|████████▉ | 25/28 [00:08<00:00, 3.07it/s]\n 93%|█████████▎| 26/28 [00:08<00:00, 3.07it/s]\n 96%|█████████▋| 27/28 [00:08<00:00, 3.07it/s]\n100%|██████████| 28/28 [00:09<00:00, 3.07it/s]\n100%|██████████| 28/28 [00:09<00:00, 3.09it/s]", "metrics": { "predict_time": 9.390945323, "total_time": 9.397794 }, "output": [ "https://replicate.delivery/xezq/5eGfaoPMr9giHEa1Lsn3zTrFGGCPUU8dsE6MFTkPela9f2OPB/out-0.webp" ], "started_at": "2024-11-23T01:03:49.537848Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-fulfkpbeumbrbx4ejbxtqcv4ncesgswm4wqptkotxigff7ifw5ma", "get": "https://api.replicate.com/v1/predictions/dar7nkz73drmc0ckat5r3rbqyw", "cancel": "https://api.replicate.com/v1/predictions/dar7nkz73drmc0ckat5r3rbqyw/cancel" }, "version": "346f37f6168424de9b87b11a100b661a1284aecb44c0f2096d5d4b985acab638" }Generated inUsing seed: 11409 Prompt: Write a Prompt for replicate and the trigger word for the ma. A Bks is up on stage at a concert. He is playing a Epiphone acoustic guitar and is dressed in a 10,000 $ suit. The concert is located on a Hawaii beach. It has a beautiful paradise feeling.. with palm trees.. the crowd there to see the show are all sexy beautiful woman.. wearing bathing suits.. they are cheering , clapping enjoying the show.. and the all love Bks. The woman are of all races and ethnicity.. from black, to Asian, to Mexican to Russian.. [!] txt2img mode Using dev model Weights already loaded Loaded LoRAs in 0.02s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:08, 3.07it/s] 7%|▋ | 2/28 [00:00<00:07, 3.43it/s] 11%|█ | 3/28 [00:00<00:07, 3.25it/s] 14%|█▍ | 4/28 [00:01<00:07, 3.18it/s] 18%|█▊ | 5/28 [00:01<00:07, 3.14it/s] 21%|██▏ | 6/28 [00:01<00:07, 3.12it/s] 25%|██▌ | 7/28 [00:02<00:06, 3.10it/s] 29%|██▊ | 8/28 [00:02<00:06, 3.09it/s] 32%|███▏ | 9/28 [00:02<00:06, 3.08it/s] 36%|███▌ | 10/28 [00:03<00:05, 3.08it/s] 39%|███▉ | 11/28 [00:03<00:05, 3.08it/s] 43%|████▎ | 12/28 [00:03<00:05, 3.07it/s] 46%|████▋ | 13/28 [00:04<00:04, 3.07it/s] 50%|█████ | 14/28 [00:04<00:04, 3.07it/s] 54%|█████▎ | 15/28 [00:04<00:04, 3.07it/s] 57%|█████▋ | 16/28 [00:05<00:03, 3.07it/s] 61%|██████ | 17/28 [00:05<00:03, 3.07it/s] 64%|██████▍ | 18/28 [00:05<00:03, 3.07it/s] 68%|██████▊ | 19/28 [00:06<00:02, 3.06it/s] 71%|███████▏ | 20/28 [00:06<00:02, 3.07it/s] 75%|███████▌ | 21/28 [00:06<00:02, 3.06it/s] 79%|███████▊ | 22/28 [00:07<00:01, 3.06it/s] 82%|████████▏ | 23/28 [00:07<00:01, 3.06it/s] 86%|████████▌ | 24/28 [00:07<00:01, 3.07it/s] 89%|████████▉ | 25/28 [00:08<00:00, 3.07it/s] 93%|█████████▎| 26/28 [00:08<00:00, 3.07it/s] 96%|█████████▋| 27/28 [00:08<00:00, 3.07it/s] 100%|██████████| 28/28 [00:09<00:00, 3.07it/s] 100%|██████████| 28/28 [00:09<00:00, 3.09it/s]Prediction
eagle13colab/bryan:346f37f6168424de9b87b11a100b661a1284aecb44c0f2096d5d4b985acab638IDgt2jtpeqt5rma0cm08avsv238mStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- Write a Prompt for replicate and the trigger word for the ma. Bks . Is wearing a Native American War outfit with feathers holding the tomahawk getting ready for war.
- go_fast
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 90
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "Write a Prompt for replicate and the trigger word for the ma. \n\n Bks . Is wearing a Native American War outfit with feathers holding the tomahawk getting ready for war.\n\n \n\n\n\n\n\n", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run eagle13colab/bryan using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "eagle13colab/bryan:346f37f6168424de9b87b11a100b661a1284aecb44c0f2096d5d4b985acab638", { input: { model: "dev", prompt: "Write a Prompt for replicate and the trigger word for the ma. \n\n Bks . Is wearing a Native American War outfit with feathers holding the tomahawk getting ready for war.\n\n \n\n\n\n\n\n", go_fast: false, lora_scale: 1, megapixels: "1", num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3.5, output_quality: 90, prompt_strength: 0.8, extra_lora_scale: 1, 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 eagle13colab/bryan using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "eagle13colab/bryan:346f37f6168424de9b87b11a100b661a1284aecb44c0f2096d5d4b985acab638", input={ "model": "dev", "prompt": "Write a Prompt for replicate and the trigger word for the ma. \n\n Bks . Is wearing a Native American War outfit with feathers holding the tomahawk getting ready for war.\n\n \n\n\n\n\n\n", "go_fast": False, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } ) # To access the file URL: print(output[0].url()) #=> "http://example.com" # To write the file to disk: with open("my-image.png", "wb") as file: file.write(output[0].read())To learn more, take a look at the guide on getting started with Python.
Run eagle13colab/bryan 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": "eagle13colab/bryan:346f37f6168424de9b87b11a100b661a1284aecb44c0f2096d5d4b985acab638", "input": { "model": "dev", "prompt": "Write a Prompt for replicate and the trigger word for the ma. \\n\\n Bks . Is wearing a Native American War outfit with feathers holding the tomahawk getting ready for war.\\n\\n \\n\\n\\n\\n\\n\\n", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "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": "2024-12-26T08:29:40.279114Z", "created_at": "2024-12-26T08:29:33.521000Z", "data_removed": false, "error": null, "id": "gt2jtpeqt5rma0cm08avsv238m", "input": { "model": "dev", "prompt": "Write a Prompt for replicate and the trigger word for the ma. \n\n Bks . Is wearing a Native American War outfit with feathers holding the tomahawk getting ready for war.\n\n \n\n\n\n\n\n", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3.5, "output_quality": 90, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "2024-12-26 08:29:33.827 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2024-12-26 08:29:33.827 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 91%|█████████ | 277/304 [00:00<00:00, 2767.99it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2575.08it/s]\n2024-12-26 08:29:33.946 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.12s\n2024-12-26 08:29:33.948 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/15e443b7fa4d97c9\n2024-12-26 08:29:34.062 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded\n2024-12-26 08:29:34.062 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2024-12-26 08:29:34.062 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 91%|█████████▏| 278/304 [00:00<00:00, 2768.78it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2578.72it/s]\n2024-12-26 08:29:34.181 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.23s\nUsing seed: 6289\n0it [00:00, ?it/s]\n1it [00:00, 8.34it/s]\n2it [00:00, 5.86it/s]\n3it [00:00, 5.34it/s]\n4it [00:00, 5.13it/s]\n5it [00:00, 5.02it/s]\n6it [00:01, 4.94it/s]\n7it [00:01, 4.90it/s]\n8it [00:01, 4.88it/s]\n9it [00:01, 4.86it/s]\n10it [00:01, 4.85it/s]\n11it [00:02, 4.84it/s]\n12it [00:02, 4.84it/s]\n13it [00:02, 4.83it/s]\n14it [00:02, 4.83it/s]\n15it [00:03, 4.83it/s]\n16it [00:03, 4.83it/s]\n17it [00:03, 4.83it/s]\n18it [00:03, 4.83it/s]\n19it [00:03, 4.84it/s]\n20it [00:04, 4.84it/s]\n21it [00:04, 4.83it/s]\n22it [00:04, 4.82it/s]\n23it [00:04, 4.82it/s]\n24it [00:04, 4.83it/s]\n25it [00:05, 4.83it/s]\n26it [00:05, 4.83it/s]\n27it [00:05, 4.83it/s]\n28it [00:05, 4.83it/s]\n28it [00:05, 4.90it/s]\nTotal safe images: 1 out of 1", "metrics": { "predict_time": 6.450868289, "total_time": 6.758114 }, "output": [ "https://replicate.delivery/xezq/okZfmTkbdYQQHyZsK29uf1Z78cKSf9duenizN9cZ6z0Rfi1fE/out-0.webp" ], "started_at": "2024-12-26T08:29:33.828246Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-n6rb4l5rca55ftyundm7jobab52dwtugfsee3vlx2nuogvo5wznq", "get": "https://api.replicate.com/v1/predictions/gt2jtpeqt5rma0cm08avsv238m", "cancel": "https://api.replicate.com/v1/predictions/gt2jtpeqt5rma0cm08avsv238m/cancel" }, "version": "346f37f6168424de9b87b11a100b661a1284aecb44c0f2096d5d4b985acab638" }Generated in2024-12-26 08:29:33.827 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2024-12-26 08:29:33.827 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 91%|█████████ | 277/304 [00:00<00:00, 2767.99it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2575.08it/s] 2024-12-26 08:29:33.946 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.12s 2024-12-26 08:29:33.948 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/15e443b7fa4d97c9 2024-12-26 08:29:34.062 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded 2024-12-26 08:29:34.062 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2024-12-26 08:29:34.062 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 91%|█████████▏| 278/304 [00:00<00:00, 2768.78it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2578.72it/s] 2024-12-26 08:29:34.181 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.23s Using seed: 6289 0it [00:00, ?it/s] 1it [00:00, 8.34it/s] 2it [00:00, 5.86it/s] 3it [00:00, 5.34it/s] 4it [00:00, 5.13it/s] 5it [00:00, 5.02it/s] 6it [00:01, 4.94it/s] 7it [00:01, 4.90it/s] 8it [00:01, 4.88it/s] 9it [00:01, 4.86it/s] 10it [00:01, 4.85it/s] 11it [00:02, 4.84it/s] 12it [00:02, 4.84it/s] 13it [00:02, 4.83it/s] 14it [00:02, 4.83it/s] 15it [00:03, 4.83it/s] 16it [00:03, 4.83it/s] 17it [00:03, 4.83it/s] 18it [00:03, 4.83it/s] 19it [00:03, 4.84it/s] 20it [00:04, 4.84it/s] 21it [00:04, 4.83it/s] 22it [00:04, 4.82it/s] 23it [00:04, 4.82it/s] 24it [00:04, 4.83it/s] 25it [00:05, 4.83it/s] 26it [00:05, 4.83it/s] 27it [00:05, 4.83it/s] 28it [00:05, 4.83it/s] 28it [00:05, 4.90it/s] Total safe images: 1 out of 1
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