hodeehum / flux-dev-lora-trainer4
Trained with 42 photos of me on December 29, 2024. (Updated 5 months, 2 weeks ago)
- Public
- 16 runs
-
H100
Prediction
hodeehum/flux-dev-lora-trainer4:aad4684a4809bd363dc7de8368ecd4b9f6361cbed7bd4cf6dd62753989554db9ID9k18p0pyh5rm80cm2nfah536mrStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- width
- 1024
- height
- 1024
- prompt
- tjk in a high-resolution, documentary photo as a 34-year-old woman with blonde, chin-length hair, sitting on the grass in a field of flowers.
- go_fast
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 4
- aspect_ratio
- 1:1
- output_format
- png
- guidance_scale
- 10
- output_quality
- 100
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 50
{ "model": "dev", "width": 1024, "height": 1024, "prompt": "tjk in a high-resolution, documentary photo as a 34-year-old woman with blonde, chin-length hair, sitting on the grass in a field of flowers.", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 10, "output_quality": 100, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 50 }
Install Replicate’s Node.js client library:npm install replicate
Import 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 hodeehum/flux-dev-lora-trainer4 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "hodeehum/flux-dev-lora-trainer4:aad4684a4809bd363dc7de8368ecd4b9f6361cbed7bd4cf6dd62753989554db9", { input: { model: "dev", width: 1024, height: 1024, prompt: "tjk in a high-resolution, documentary photo as a 34-year-old woman with blonde, chin-length hair, sitting on the grass in a field of flowers.", go_fast: false, lora_scale: 1, megapixels: "1", num_outputs: 4, aspect_ratio: "1:1", output_format: "png", guidance_scale: 10, output_quality: 100, prompt_strength: 0.8, extra_lora_scale: 1, num_inference_steps: 50 } } ); // 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 replicate
Import the client:import replicate
Run hodeehum/flux-dev-lora-trainer4 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "hodeehum/flux-dev-lora-trainer4:aad4684a4809bd363dc7de8368ecd4b9f6361cbed7bd4cf6dd62753989554db9", input={ "model": "dev", "width": 1024, "height": 1024, "prompt": "tjk in a high-resolution, documentary photo as a 34-year-old woman with blonde, chin-length hair, sitting on the grass in a field of flowers.", "go_fast": False, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 10, "output_quality": 100, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 50 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run hodeehum/flux-dev-lora-trainer4 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": "hodeehum/flux-dev-lora-trainer4:aad4684a4809bd363dc7de8368ecd4b9f6361cbed7bd4cf6dd62753989554db9", "input": { "model": "dev", "width": 1024, "height": 1024, "prompt": "tjk in a high-resolution, documentary photo as a 34-year-old woman with blonde, chin-length hair, sitting on the grass in a field of flowers.", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 10, "output_quality": 100, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-12-30T02:22:54.254160Z", "created_at": "2024-12-30T02:22:06.473000Z", "data_removed": false, "error": null, "id": "9k18p0pyh5rm80cm2nfah536mr", "input": { "model": "dev", "width": 1024, "height": 1024, "prompt": "tjk in a high-resolution, documentary photo as a 34-year-old woman with blonde, chin-length hair, sitting on the grass in a field of flowers.", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 10, "output_quality": 100, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 50 }, "logs": "2024-12-30 02:22:07.395 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2024-12-30 02:22:07.396 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 92%|█████████▏| 281/304 [00:00<00:00, 2809.05it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2725.77it/s]\n2024-12-30 02:22:07.508 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.11s\nfree=29917324013568\nDownloading weights\n2024-12-30T02:22:07Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp9yn5ybf8/weights url=https://replicate.delivery/xezq/8dGAsHRoxHqLAdnlX3lFxgbtGWbCbcdInekMZhHmmOhf76fnA/trained_model.tar\n2024-12-30T02:22:10Z | INFO | [ Complete ] dest=/tmp/tmp9yn5ybf8/weights size=\"1.1 GB\" total_elapsed=2.933s url=https://replicate.delivery/xezq/8dGAsHRoxHqLAdnlX3lFxgbtGWbCbcdInekMZhHmmOhf76fnA/trained_model.tar\nDownloaded weights in 2.99s\n2024-12-30 02:22:10.499 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/c18631d797443ecf\n2024-12-30 02:22:10.726 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded\n2024-12-30 02:22:10.726 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2024-12-30 02:22:10.726 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 94%|█████████▍| 287/304 [00:00<00:00, 2868.35it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2759.76it/s]\n2024-12-30 02:22:10.837 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.34s\nUsing seed: 2405\n0it [00:00, ?it/s]\n1it [00:00, 8.40it/s]\n2it [00:00, 5.89it/s]\n3it [00:00, 5.37it/s]\n4it [00:00, 5.15it/s]\n5it [00:00, 5.02it/s]\n6it [00:01, 4.94it/s]\n7it [00:01, 4.91it/s]\n8it [00:01, 4.89it/s]\n9it [00:01, 4.87it/s]\n10it [00:01, 4.86it/s]\n11it [00:02, 4.84it/s]\n12it [00:02, 4.83it/s]\n13it [00:02, 4.83it/s]\n14it [00:02, 4.83it/s]\n15it [00:03, 4.83it/s]\n16it [00:03, 4.82it/s]\n17it [00:03, 4.82it/s]\n18it [00:03, 4.82it/s]\n19it [00:03, 4.82it/s]\n20it [00:04, 4.82it/s]\n21it [00:04, 4.82it/s]\n22it [00:04, 4.81it/s]\n23it [00:04, 4.82it/s]\n24it [00:04, 4.81it/s]\n25it [00:05, 4.81it/s]\n26it [00:05, 4.81it/s]\n27it [00:05, 4.81it/s]\n28it [00:05, 4.81it/s]\n29it [00:05, 4.82it/s]\n30it [00:06, 4.82it/s]\n31it [00:06, 4.82it/s]\n32it [00:06, 4.82it/s]\n33it [00:06, 4.82it/s]\n34it [00:06, 4.82it/s]\n35it [00:07, 4.82it/s]\n36it [00:07, 4.81it/s]\n37it [00:07, 4.81it/s]\n38it [00:07, 4.81it/s]\n39it [00:08, 4.82it/s]\n40it [00:08, 4.82it/s]\n41it [00:08, 4.81it/s]\n42it [00:08, 4.81it/s]\n43it [00:08, 4.81it/s]\n44it [00:09, 4.81it/s]\n45it [00:09, 4.81it/s]\n46it [00:09, 4.81it/s]\n47it [00:09, 4.81it/s]\n48it [00:09, 4.82it/s]\n49it [00:10, 4.82it/s]\n50it [00:10, 4.82it/s]\n50it [00:10, 4.86it/s]\n0it [00:00, ?it/s]\n1it [00:00, 4.82it/s]\n2it [00:00, 4.79it/s]\n3it [00:00, 4.80it/s]\n4it [00:00, 4.81it/s]\n5it [00:01, 4.81it/s]\n6it [00:01, 4.80it/s]\n7it [00:01, 4.80it/s]\n8it [00:01, 4.80it/s]\n9it [00:01, 4.81it/s]\n10it [00:02, 4.82it/s]\n11it [00:02, 4.81it/s]\n12it [00:02, 4.81it/s]\n13it [00:02, 4.81it/s]\n14it [00:02, 4.81it/s]\n15it [00:03, 4.81it/s]\n16it [00:03, 4.81it/s]\n17it [00:03, 4.81it/s]\n18it [00:03, 4.81it/s]\n19it [00:03, 4.81it/s]\n20it [00:04, 4.81it/s]\n21it [00:04, 4.81it/s]\n22it [00:04, 4.81it/s]\n23it [00:04, 4.81it/s]\n24it [00:04, 4.81it/s]\n25it [00:05, 4.81it/s]\n26it [00:05, 4.80it/s]\n27it [00:05, 4.80it/s]\n28it [00:05, 4.80it/s]\n29it [00:06, 4.81it/s]\n30it [00:06, 4.81it/s]\n31it [00:06, 4.81it/s]\n32it [00:06, 4.81it/s]\n33it [00:06, 4.81it/s]\n34it [00:07, 4.80it/s]\n35it [00:07, 4.80it/s]\n36it [00:07, 4.80it/s]\n37it [00:07, 4.81it/s]\n38it [00:07, 4.81it/s]\n39it [00:08, 4.81it/s]\n40it [00:08, 4.80it/s]\n41it [00:08, 4.80it/s]\n42it [00:08, 4.80it/s]\n43it [00:08, 4.80it/s]\n44it [00:09, 4.80it/s]\n45it [00:09, 4.81it/s]\n46it [00:09, 4.81it/s]\n47it [00:09, 4.80it/s]\n48it [00:09, 4.81it/s]\n49it [00:10, 4.81it/s]\n50it [00:10, 4.81it/s]\n50it [00:10, 4.81it/s]\n0it [00:00, ?it/s]\n1it [00:00, 4.83it/s]\n2it [00:00, 4.81it/s]\n3it [00:00, 4.82it/s]\n4it [00:00, 4.82it/s]\n5it [00:01, 4.81it/s]\n6it [00:01, 4.81it/s]\n7it [00:01, 4.81it/s]\n8it [00:01, 4.81it/s]\n9it [00:01, 4.80it/s]\n10it [00:02, 4.81it/s]\n11it [00:02, 4.81it/s]\n12it [00:02, 4.81it/s]\n13it [00:02, 4.81it/s]\n14it [00:02, 4.81it/s]\n15it [00:03, 4.81it/s]\n16it [00:03, 4.81it/s]\n17it [00:03, 4.81it/s]\n18it [00:03, 4.81it/s]\n19it [00:03, 4.80it/s]\n20it [00:04, 4.80it/s]\n21it [00:04, 4.80it/s]\n22it [00:04, 4.80it/s]\n23it [00:04, 4.81it/s]\n24it [00:04, 4.81it/s]\n25it [00:05, 4.81it/s]\n26it [00:05, 4.81it/s]\n27it [00:05, 4.81it/s]\n28it [00:05, 4.80it/s]\n29it [00:06, 4.80it/s]\n30it [00:06, 4.80it/s]\n31it [00:06, 4.80it/s]\n32it [00:06, 4.81it/s]\n33it [00:06, 4.81it/s]\n34it [00:07, 4.81it/s]\n35it [00:07, 4.80it/s]\n36it [00:07, 4.80it/s]\n37it [00:07, 4.80it/s]\n38it [00:07, 4.80it/s]\n39it [00:08, 4.80it/s]\n40it [00:08, 4.81it/s]\n41it [00:08, 4.81it/s]\n42it [00:08, 4.80it/s]\n43it [00:08, 4.81it/s]\n44it [00:09, 4.81it/s]\n45it [00:09, 4.80it/s]\n46it [00:09, 4.81it/s]\n47it [00:09, 4.81it/s]\n48it [00:09, 4.81it/s]\n49it [00:10, 4.81it/s]\n50it [00:10, 4.81it/s]\n50it [00:10, 4.81it/s]\n0it [00:00, ?it/s]\n1it [00:00, 4.84it/s]\n2it [00:00, 4.81it/s]\n3it [00:00, 4.81it/s]\n4it [00:00, 4.80it/s]\n5it [00:01, 4.78it/s]\n6it [00:01, 4.80it/s]\n7it [00:01, 4.79it/s]\n8it [00:01, 4.79it/s]\n9it [00:01, 4.79it/s]\n10it [00:02, 4.78it/s]\n11it [00:02, 4.79it/s]\n12it [00:02, 4.79it/s]\n13it [00:02, 4.80it/s]\n14it [00:02, 4.80it/s]\n15it [00:03, 4.79it/s]\n16it [00:03, 4.80it/s]\n17it [00:03, 4.80it/s]\n18it [00:03, 4.81it/s]\n19it [00:03, 4.81it/s]\n20it [00:04, 4.80it/s]\n21it [00:04, 4.79it/s]\n22it [00:04, 4.80it/s]\n23it [00:04, 4.81it/s]\n24it [00:05, 4.81it/s]\n25it [00:05, 4.80it/s]\n26it [00:05, 4.80it/s]\n27it [00:05, 4.81it/s]\n28it [00:05, 4.80it/s]\n29it [00:06, 4.80it/s]\n30it [00:06, 4.80it/s]\n31it [00:06, 4.79it/s]\n32it [00:06, 4.79it/s]\n33it [00:06, 4.80it/s]\n34it [00:07, 4.81it/s]\n35it [00:07, 4.81it/s]\n36it [00:07, 4.80it/s]\n37it [00:07, 4.80it/s]\n38it [00:07, 4.81it/s]\n39it [00:08, 4.81it/s]\n40it [00:08, 4.81it/s]\n41it [00:08, 4.79it/s]\n42it [00:08, 4.79it/s]\n43it [00:08, 4.80it/s]\n44it [00:09, 4.81it/s]\n45it [00:09, 4.81it/s]\n46it [00:09, 4.81it/s]\n47it [00:09, 4.81it/s]\n48it [00:09, 4.80it/s]\n49it [00:10, 4.80it/s]\n50it [00:10, 4.81it/s]\n50it [00:10, 4.80it/s]\nTotal safe images: 4 out of 4", "metrics": { "predict_time": 46.857277524, "total_time": 47.78116 }, "output": [ "https://replicate.delivery/xezq/QrUZhRHAUIpODpDLiWSV5egBqsGXLskNqWMYWPyCV5GfX7fnA/out-0.png", "https://replicate.delivery/xezq/e628aBBjfws1GUSujVG0vBRpP9Z9XmF2yGLASTKu2Poev2fPB/out-1.png", "https://replicate.delivery/xezq/r8JXbghaoMZAKxNe5TxrrzQmESY76ISNVvAfB2Y1yxkev2fPB/out-2.png", "https://replicate.delivery/xezq/ldfyKN05W0w6ICnBxAiWrzy7HrovPoXqdo0uFOP5jzfev2fPB/out-3.png" ], "started_at": "2024-12-30T02:22:07.396883Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-ez6plal2s437ricjmfvvvbr77h5neqnavrgkybq2m427yy6rvwuq", "get": "https://api.replicate.com/v1/predictions/9k18p0pyh5rm80cm2nfah536mr", "cancel": "https://api.replicate.com/v1/predictions/9k18p0pyh5rm80cm2nfah536mr/cancel" }, "version": "aad4684a4809bd363dc7de8368ecd4b9f6361cbed7bd4cf6dd62753989554db9" }
Generated in2024-12-30 02:22:07.395 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2024-12-30 02:22:07.396 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 92%|█████████▏| 281/304 [00:00<00:00, 2809.05it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2725.77it/s] 2024-12-30 02:22:07.508 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.11s free=29917324013568 Downloading weights 2024-12-30T02:22:07Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp9yn5ybf8/weights url=https://replicate.delivery/xezq/8dGAsHRoxHqLAdnlX3lFxgbtGWbCbcdInekMZhHmmOhf76fnA/trained_model.tar 2024-12-30T02:22:10Z | INFO | [ Complete ] dest=/tmp/tmp9yn5ybf8/weights size="1.1 GB" total_elapsed=2.933s url=https://replicate.delivery/xezq/8dGAsHRoxHqLAdnlX3lFxgbtGWbCbcdInekMZhHmmOhf76fnA/trained_model.tar Downloaded weights in 2.99s 2024-12-30 02:22:10.499 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/c18631d797443ecf 2024-12-30 02:22:10.726 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded 2024-12-30 02:22:10.726 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2024-12-30 02:22:10.726 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 94%|█████████▍| 287/304 [00:00<00:00, 2868.35it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2759.76it/s] 2024-12-30 02:22:10.837 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.34s Using seed: 2405 0it [00:00, ?it/s] 1it [00:00, 8.40it/s] 2it [00:00, 5.89it/s] 3it [00:00, 5.37it/s] 4it [00:00, 5.15it/s] 5it [00:00, 5.02it/s] 6it [00:01, 4.94it/s] 7it [00:01, 4.91it/s] 8it [00:01, 4.89it/s] 9it [00:01, 4.87it/s] 10it [00:01, 4.86it/s] 11it [00:02, 4.84it/s] 12it [00:02, 4.83it/s] 13it [00:02, 4.83it/s] 14it [00:02, 4.83it/s] 15it [00:03, 4.83it/s] 16it [00:03, 4.82it/s] 17it [00:03, 4.82it/s] 18it [00:03, 4.82it/s] 19it [00:03, 4.82it/s] 20it [00:04, 4.82it/s] 21it [00:04, 4.82it/s] 22it [00:04, 4.81it/s] 23it [00:04, 4.82it/s] 24it [00:04, 4.81it/s] 25it [00:05, 4.81it/s] 26it [00:05, 4.81it/s] 27it [00:05, 4.81it/s] 28it [00:05, 4.81it/s] 29it [00:05, 4.82it/s] 30it [00:06, 4.82it/s] 31it [00:06, 4.82it/s] 32it [00:06, 4.82it/s] 33it [00:06, 4.82it/s] 34it [00:06, 4.82it/s] 35it [00:07, 4.82it/s] 36it [00:07, 4.81it/s] 37it [00:07, 4.81it/s] 38it [00:07, 4.81it/s] 39it [00:08, 4.82it/s] 40it [00:08, 4.82it/s] 41it [00:08, 4.81it/s] 42it [00:08, 4.81it/s] 43it [00:08, 4.81it/s] 44it [00:09, 4.81it/s] 45it [00:09, 4.81it/s] 46it [00:09, 4.81it/s] 47it [00:09, 4.81it/s] 48it [00:09, 4.82it/s] 49it [00:10, 4.82it/s] 50it [00:10, 4.82it/s] 50it [00:10, 4.86it/s] 0it [00:00, ?it/s] 1it [00:00, 4.82it/s] 2it [00:00, 4.79it/s] 3it [00:00, 4.80it/s] 4it [00:00, 4.81it/s] 5it [00:01, 4.81it/s] 6it [00:01, 4.80it/s] 7it [00:01, 4.80it/s] 8it [00:01, 4.80it/s] 9it [00:01, 4.81it/s] 10it [00:02, 4.82it/s] 11it [00:02, 4.81it/s] 12it [00:02, 4.81it/s] 13it [00:02, 4.81it/s] 14it [00:02, 4.81it/s] 15it [00:03, 4.81it/s] 16it [00:03, 4.81it/s] 17it [00:03, 4.81it/s] 18it [00:03, 4.81it/s] 19it [00:03, 4.81it/s] 20it [00:04, 4.81it/s] 21it [00:04, 4.81it/s] 22it [00:04, 4.81it/s] 23it [00:04, 4.81it/s] 24it [00:04, 4.81it/s] 25it [00:05, 4.81it/s] 26it [00:05, 4.80it/s] 27it [00:05, 4.80it/s] 28it [00:05, 4.80it/s] 29it [00:06, 4.81it/s] 30it [00:06, 4.81it/s] 31it [00:06, 4.81it/s] 32it [00:06, 4.81it/s] 33it [00:06, 4.81it/s] 34it [00:07, 4.80it/s] 35it [00:07, 4.80it/s] 36it [00:07, 4.80it/s] 37it [00:07, 4.81it/s] 38it [00:07, 4.81it/s] 39it [00:08, 4.81it/s] 40it [00:08, 4.80it/s] 41it [00:08, 4.80it/s] 42it [00:08, 4.80it/s] 43it [00:08, 4.80it/s] 44it [00:09, 4.80it/s] 45it [00:09, 4.81it/s] 46it [00:09, 4.81it/s] 47it [00:09, 4.80it/s] 48it [00:09, 4.81it/s] 49it [00:10, 4.81it/s] 50it [00:10, 4.81it/s] 50it [00:10, 4.81it/s] 0it [00:00, ?it/s] 1it [00:00, 4.83it/s] 2it [00:00, 4.81it/s] 3it [00:00, 4.82it/s] 4it [00:00, 4.82it/s] 5it [00:01, 4.81it/s] 6it [00:01, 4.81it/s] 7it [00:01, 4.81it/s] 8it [00:01, 4.81it/s] 9it [00:01, 4.80it/s] 10it [00:02, 4.81it/s] 11it [00:02, 4.81it/s] 12it [00:02, 4.81it/s] 13it [00:02, 4.81it/s] 14it [00:02, 4.81it/s] 15it [00:03, 4.81it/s] 16it [00:03, 4.81it/s] 17it [00:03, 4.81it/s] 18it [00:03, 4.81it/s] 19it [00:03, 4.80it/s] 20it [00:04, 4.80it/s] 21it [00:04, 4.80it/s] 22it [00:04, 4.80it/s] 23it [00:04, 4.81it/s] 24it [00:04, 4.81it/s] 25it [00:05, 4.81it/s] 26it [00:05, 4.81it/s] 27it [00:05, 4.81it/s] 28it [00:05, 4.80it/s] 29it [00:06, 4.80it/s] 30it [00:06, 4.80it/s] 31it [00:06, 4.80it/s] 32it [00:06, 4.81it/s] 33it [00:06, 4.81it/s] 34it [00:07, 4.81it/s] 35it [00:07, 4.80it/s] 36it [00:07, 4.80it/s] 37it [00:07, 4.80it/s] 38it [00:07, 4.80it/s] 39it [00:08, 4.80it/s] 40it [00:08, 4.81it/s] 41it [00:08, 4.81it/s] 42it [00:08, 4.80it/s] 43it [00:08, 4.81it/s] 44it [00:09, 4.81it/s] 45it [00:09, 4.80it/s] 46it [00:09, 4.81it/s] 47it [00:09, 4.81it/s] 48it [00:09, 4.81it/s] 49it [00:10, 4.81it/s] 50it [00:10, 4.81it/s] 50it [00:10, 4.81it/s] 0it [00:00, ?it/s] 1it [00:00, 4.84it/s] 2it [00:00, 4.81it/s] 3it [00:00, 4.81it/s] 4it [00:00, 4.80it/s] 5it [00:01, 4.78it/s] 6it [00:01, 4.80it/s] 7it [00:01, 4.79it/s] 8it [00:01, 4.79it/s] 9it [00:01, 4.79it/s] 10it [00:02, 4.78it/s] 11it [00:02, 4.79it/s] 12it [00:02, 4.79it/s] 13it [00:02, 4.80it/s] 14it [00:02, 4.80it/s] 15it [00:03, 4.79it/s] 16it [00:03, 4.80it/s] 17it [00:03, 4.80it/s] 18it [00:03, 4.81it/s] 19it [00:03, 4.81it/s] 20it [00:04, 4.80it/s] 21it [00:04, 4.79it/s] 22it [00:04, 4.80it/s] 23it [00:04, 4.81it/s] 24it [00:05, 4.81it/s] 25it [00:05, 4.80it/s] 26it [00:05, 4.80it/s] 27it [00:05, 4.81it/s] 28it [00:05, 4.80it/s] 29it [00:06, 4.80it/s] 30it [00:06, 4.80it/s] 31it [00:06, 4.79it/s] 32it [00:06, 4.79it/s] 33it [00:06, 4.80it/s] 34it [00:07, 4.81it/s] 35it [00:07, 4.81it/s] 36it [00:07, 4.80it/s] 37it [00:07, 4.80it/s] 38it [00:07, 4.81it/s] 39it [00:08, 4.81it/s] 40it [00:08, 4.81it/s] 41it [00:08, 4.79it/s] 42it [00:08, 4.79it/s] 43it [00:08, 4.80it/s] 44it [00:09, 4.81it/s] 45it [00:09, 4.81it/s] 46it [00:09, 4.81it/s] 47it [00:09, 4.81it/s] 48it [00:09, 4.80it/s] 49it [00:10, 4.80it/s] 50it [00:10, 4.81it/s] 50it [00:10, 4.80it/s] Total safe images: 4 out of 4
Want to make some of these yourself?
Run this model