zeke
/
ziki-flux
A Flux fine-tune of https://replicate.com/zeke the real-life human. Use "ZIKI" in the prompt to activate the trained style.
- Public
- 2.7K runs
-
H100
Prediction
zeke/ziki-flux:dadc276a9062240e68f110ca06521752f334777a94f031feb0ae78ae3edca58eIDakgb3zes5nrm00chkcwap2rw28StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- ZIKI, an adult male martial arts master, demonstrating a complex kata in a serene bamboo forest, his face serene yet focused as his body flows through the movements.
- 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": "ZIKI, an adult male martial arts master, demonstrating a complex kata in a serene bamboo forest, his face serene yet focused as his body flows through the movements.", "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 zeke/ziki-flux using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "zeke/ziki-flux:dadc276a9062240e68f110ca06521752f334777a94f031feb0ae78ae3edca58e", { input: { model: "dev", prompt: "ZIKI, an adult male martial arts master, demonstrating a complex kata in a serene bamboo forest, his face serene yet focused as his body flows through the movements.", 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 zeke/ziki-flux using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "zeke/ziki-flux:dadc276a9062240e68f110ca06521752f334777a94f031feb0ae78ae3edca58e", input={ "model": "dev", "prompt": "ZIKI, an adult male martial arts master, demonstrating a complex kata in a serene bamboo forest, his face serene yet focused as his body flows through the movements.", "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 zeke/ziki-flux 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": "dadc276a9062240e68f110ca06521752f334777a94f031feb0ae78ae3edca58e", "input": { "model": "dev", "prompt": "ZIKI, an adult male martial arts master, demonstrating a complex kata in a serene bamboo forest, his face serene yet focused as his body flows through the movements.", "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": "2024-08-28T23:01:37.168233Z", "created_at": "2024-08-28T23:01:19.789000Z", "data_removed": false, "error": null, "id": "akgb3zes5nrm00chkcwap2rw28", "input": { "model": "dev", "prompt": "ZIKI, an adult male martial arts master, demonstrating a complex kata in a serene bamboo forest, his face serene yet focused as his body flows through the movements.", "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: 46287\nPrompt: ZIKI, an adult male martial arts master, demonstrating a complex kata in a serene bamboo forest, his face serene yet focused as his body flows through the movements.\ntxt2img mode\nUsing dev model\nLoaded LoRAs in 9.27s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.70it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.25it/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, 3.79it/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, 3.69it/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, 3.69it/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, 3.69it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.69it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.69it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.69it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.69it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.69it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.69it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.71it/s]", "metrics": { "predict_time": 17.370317438, "total_time": 17.379233 }, "output": [ "https://replicate.delivery/yhqm/YLXxVhI066JYM1pNPXPZIZweSw3gZiOnTxTcBDHQUV6o8qrJA/out-0.webp" ], "started_at": "2024-08-28T23:01:19.797916Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/akgb3zes5nrm00chkcwap2rw28", "cancel": "https://api.replicate.com/v1/predictions/akgb3zes5nrm00chkcwap2rw28/cancel" }, "version": "dadc276a9062240e68f110ca06521752f334777a94f031feb0ae78ae3edca58e" }Generated inUsing seed: 46287 Prompt: ZIKI, an adult male martial arts master, demonstrating a complex kata in a serene bamboo forest, his face serene yet focused as his body flows through the movements. txt2img mode Using dev model Loaded LoRAs in 9.27s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.70it/s] 7%|▋ | 2/28 [00:00<00:06, 4.25it/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, 3.79it/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, 3.69it/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, 3.69it/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, 3.69it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.69it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.69it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.69it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.69it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.69it/s] 100%|██████████| 28/28 [00:07<00:00, 3.69it/s] 100%|██████████| 28/28 [00:07<00:00, 3.71it/s]Prediction
zeke/ziki-flux:dadc276a9062240e68f110ca06521752f334777a94f031feb0ae78ae3edca58eID2x6vx93cq5rm00chkcpsgsxrh4StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- ZIKI, a distinguished-looking mature man, giving a TED talk on stage, gesturing passionately as holographic images of renewable energy solutions float around him, his face animated and inspiring.
- 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": "ZIKI, a distinguished-looking mature man, giving a TED talk on stage, gesturing passionately as holographic images of renewable energy solutions float around him, his face animated and inspiring.", "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 zeke/ziki-flux using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "zeke/ziki-flux:dadc276a9062240e68f110ca06521752f334777a94f031feb0ae78ae3edca58e", { input: { model: "dev", prompt: "ZIKI, a distinguished-looking mature man, giving a TED talk on stage, gesturing passionately as holographic images of renewable energy solutions float around him, his face animated and inspiring.", 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 zeke/ziki-flux using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "zeke/ziki-flux:dadc276a9062240e68f110ca06521752f334777a94f031feb0ae78ae3edca58e", input={ "model": "dev", "prompt": "ZIKI, a distinguished-looking mature man, giving a TED talk on stage, gesturing passionately as holographic images of renewable energy solutions float around him, his face animated and inspiring.", "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 zeke/ziki-flux 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": "dadc276a9062240e68f110ca06521752f334777a94f031feb0ae78ae3edca58e", "input": { "model": "dev", "prompt": "ZIKI, a distinguished-looking mature man, giving a TED talk on stage, gesturing passionately as holographic images of renewable energy solutions float around him, his face animated and inspiring.", "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": "2024-08-28T22:49:17.264167Z", "created_at": "2024-08-28T22:48:51.129000Z", "data_removed": false, "error": null, "id": "2x6vx93cq5rm00chkcpsgsxrh4", "input": { "model": "dev", "prompt": "ZIKI, a distinguished-looking mature man, giving a TED talk on stage, gesturing passionately as holographic images of renewable energy solutions float around him, his face animated and inspiring.", "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: 15586\nPrompt: ZIKI, a distinguished-looking mature man, giving a TED talk on stage, gesturing passionately as holographic images of renewable energy solutions float around him, his face animated and inspiring.\ntxt2img mode\nUsing dev model\nWeights already loaded\nLoaded LoRAs in 0.04s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.68it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.23it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.96it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.84it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.78it/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, 3.69it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.68it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.68it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.68it/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<00:02, 3.67it/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, 3.67it/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, 3.67it/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, 3.70it/s]", "metrics": { "predict_time": 8.123892428, "total_time": 26.135167 }, "output": [ "https://replicate.delivery/yhqm/WvwewaFfBhrpG0MTETVYjWU3FeevqTlQQbnNoieL11Zstt6aC/out-0.webp" ], "started_at": "2024-08-28T22:49:09.140275Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/2x6vx93cq5rm00chkcpsgsxrh4", "cancel": "https://api.replicate.com/v1/predictions/2x6vx93cq5rm00chkcpsgsxrh4/cancel" }, "version": "dadc276a9062240e68f110ca06521752f334777a94f031feb0ae78ae3edca58e" }Generated inUsing seed: 15586 Prompt: ZIKI, a distinguished-looking mature man, giving a TED talk on stage, gesturing passionately as holographic images of renewable energy solutions float around him, his face animated and inspiring. txt2img mode Using dev model Weights already loaded Loaded LoRAs in 0.04s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.68it/s] 7%|▋ | 2/28 [00:00<00:06, 4.23it/s] 11%|█ | 3/28 [00:00<00:06, 3.96it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.84it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.78it/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, 3.69it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.68it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.68it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.68it/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<00:02, 3.67it/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, 3.67it/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, 3.67it/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, 3.70it/s]Prediction
zeke/ziki-flux:dadc276a9062240e68f110ca06521752f334777a94f031feb0ae78ae3edca58eIDwrcqqew9tnrm60chkcpt76w9fmStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- Underwater scene of ZIKI, a muscular adult male free diver, face clearly visible as he swims alongside a pod of bioluminescent squid in the deep ocean, his expression one of wonder and serenity.
- 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": "Underwater scene of ZIKI, a muscular adult male free diver, face clearly visible as he swims alongside a pod of bioluminescent squid in the deep ocean, his expression one of wonder and serenity.", "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 zeke/ziki-flux using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "zeke/ziki-flux:dadc276a9062240e68f110ca06521752f334777a94f031feb0ae78ae3edca58e", { input: { model: "dev", prompt: "Underwater scene of ZIKI, a muscular adult male free diver, face clearly visible as he swims alongside a pod of bioluminescent squid in the deep ocean, his expression one of wonder and serenity.", 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 zeke/ziki-flux using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "zeke/ziki-flux:dadc276a9062240e68f110ca06521752f334777a94f031feb0ae78ae3edca58e", input={ "model": "dev", "prompt": "Underwater scene of ZIKI, a muscular adult male free diver, face clearly visible as he swims alongside a pod of bioluminescent squid in the deep ocean, his expression one of wonder and serenity.", "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 zeke/ziki-flux 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": "dadc276a9062240e68f110ca06521752f334777a94f031feb0ae78ae3edca58e", "input": { "model": "dev", "prompt": "Underwater scene of ZIKI, a muscular adult male free diver, face clearly visible as he swims alongside a pod of bioluminescent squid in the deep ocean, his expression one of wonder and serenity.", "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": "2024-08-28T22:49:27.817210Z", "created_at": "2024-08-28T22:48:58.581000Z", "data_removed": false, "error": null, "id": "wrcqqew9tnrm60chkcpt76w9fm", "input": { "model": "dev", "prompt": "Underwater scene of ZIKI, a muscular adult male free diver, face clearly visible as he swims alongside a pod of bioluminescent squid in the deep ocean, his expression one of wonder and serenity.", "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: 54525\nPrompt: Underwater scene of ZIKI, a muscular adult male free diver, face clearly visible as he swims alongside a pod of bioluminescent squid in the deep ocean, his expression one of wonder and serenity.\ntxt2img mode\nUsing dev model\nfree=9653157318656\nDownloading weights\n2024-08-28T22:49:10Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmppeaq2icd/weights url=https://replicate.delivery/yhqm/m0jkcwlTOFqDB1YhFnJV4ZvdpfRxAFSE8xlqyhqTgQJ3zqrJA/trained_model.tar\n2024-08-28T22:49:12Z | INFO | [ Complete ] dest=/tmp/tmppeaq2icd/weights size=\"172 MB\" total_elapsed=2.132s url=https://replicate.delivery/yhqm/m0jkcwlTOFqDB1YhFnJV4ZvdpfRxAFSE8xlqyhqTgQJ3zqrJA/trained_model.tar\nDownloaded weights in 2.16s\nLoaded LoRAs in 9.54s\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, 4.21it/s]\n 11%|█ | 3/28 [00:00<00:06, 3.94it/s]\n 14%|█▍ | 4/28 [00:01<00:06, 3.83it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.77it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.73it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.71it/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, 3.68it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.67it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.66it/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<00:02, 3.67it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.66it/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, 3.67it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.66it/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, 3.67it/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, 3.67it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.69it/s]", "metrics": { "predict_time": 17.671940637, "total_time": 29.23621 }, "output": [ "https://replicate.delivery/yhqm/fNvdyoeUa8tsfoK3ucJSolKrVeo7Gu9NzHRoTgu9cTZeut6aC/out-0.webp" ], "started_at": "2024-08-28T22:49:10.145269Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/wrcqqew9tnrm60chkcpt76w9fm", "cancel": "https://api.replicate.com/v1/predictions/wrcqqew9tnrm60chkcpt76w9fm/cancel" }, "version": "dadc276a9062240e68f110ca06521752f334777a94f031feb0ae78ae3edca58e" }Generated inUsing seed: 54525 Prompt: Underwater scene of ZIKI, a muscular adult male free diver, face clearly visible as he swims alongside a pod of bioluminescent squid in the deep ocean, his expression one of wonder and serenity. txt2img mode Using dev model free=9653157318656 Downloading weights 2024-08-28T22:49:10Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmppeaq2icd/weights url=https://replicate.delivery/yhqm/m0jkcwlTOFqDB1YhFnJV4ZvdpfRxAFSE8xlqyhqTgQJ3zqrJA/trained_model.tar 2024-08-28T22:49:12Z | INFO | [ Complete ] dest=/tmp/tmppeaq2icd/weights size="172 MB" total_elapsed=2.132s url=https://replicate.delivery/yhqm/m0jkcwlTOFqDB1YhFnJV4ZvdpfRxAFSE8xlqyhqTgQJ3zqrJA/trained_model.tar Downloaded weights in 2.16s Loaded LoRAs in 9.54s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.66it/s] 7%|▋ | 2/28 [00:00<00:06, 4.21it/s] 11%|█ | 3/28 [00:00<00:06, 3.94it/s] 14%|█▍ | 4/28 [00:01<00:06, 3.83it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.77it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.73it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.71it/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, 3.68it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.67it/s] 50%|█████ | 14/28 [00:03<00:03, 3.66it/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<00:02, 3.67it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.66it/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, 3.67it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.66it/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, 3.67it/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, 3.67it/s] 100%|██████████| 28/28 [00:07<00:00, 3.69it/s]Prediction
zeke/ziki-flux:dadc276a9062240e68f110ca06521752f334777a94f031feb0ae78ae3edca58eIDm7cegg8qwdrm40chkcqa33trqcStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- ZIKI, a mature man with graying temples, painting a hyperrealistic mural on the side of a building in a busy city street, his face furrowed in concentration as passersby watch in amazement.
- 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": "ZIKI, a mature man with graying temples, painting a hyperrealistic mural on the side of a building in a busy city street, his face furrowed in concentration as passersby watch in amazement.", "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 zeke/ziki-flux using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "zeke/ziki-flux:dadc276a9062240e68f110ca06521752f334777a94f031feb0ae78ae3edca58e", { input: { model: "dev", prompt: "ZIKI, a mature man with graying temples, painting a hyperrealistic mural on the side of a building in a busy city street, his face furrowed in concentration as passersby watch in amazement.", 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 zeke/ziki-flux using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "zeke/ziki-flux:dadc276a9062240e68f110ca06521752f334777a94f031feb0ae78ae3edca58e", input={ "model": "dev", "prompt": "ZIKI, a mature man with graying temples, painting a hyperrealistic mural on the side of a building in a busy city street, his face furrowed in concentration as passersby watch in amazement.", "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 zeke/ziki-flux 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": "dadc276a9062240e68f110ca06521752f334777a94f031feb0ae78ae3edca58e", "input": { "model": "dev", "prompt": "ZIKI, a mature man with graying temples, painting a hyperrealistic mural on the side of a building in a busy city street, his face furrowed in concentration as passersby watch in amazement.", "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": "2024-08-28T22:49:55.399867Z", "created_at": "2024-08-28T22:49:34.947000Z", "data_removed": false, "error": null, "id": "m7cegg8qwdrm40chkcqa33trqc", "input": { "model": "dev", "prompt": "ZIKI, a mature man with graying temples, painting a hyperrealistic mural on the side of a building in a busy city street, his face furrowed in concentration as passersby watch in amazement.", "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: 12114\nPrompt: ZIKI, a mature man with graying temples, painting a hyperrealistic mural on the side of a building in a busy city street, his face furrowed in concentration as passersby watch in amazement.\ntxt2img mode\nUsing dev model\nfree=9933659725824\nDownloading weights\n2024-08-28T22:49:35Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpaed14m75/weights url=https://replicate.delivery/yhqm/m0jkcwlTOFqDB1YhFnJV4ZvdpfRxAFSE8xlqyhqTgQJ3zqrJA/trained_model.tar\n2024-08-28T22:49:38Z | INFO | [ Complete ] dest=/tmp/tmpaed14m75/weights size=\"172 MB\" total_elapsed=3.562s url=https://replicate.delivery/yhqm/m0jkcwlTOFqDB1YhFnJV4ZvdpfRxAFSE8xlqyhqTgQJ3zqrJA/trained_model.tar\nDownloaded weights in 3.59s\nLoaded LoRAs in 12.30s\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, 4.21it/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, 3.71it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.70it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.68it/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, 3.66it/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, 3.66it/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, 3.66it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.69it/s]", "metrics": { "predict_time": 20.446444894, "total_time": 20.452867 }, "output": [ "https://replicate.delivery/yhqm/OzXnHtheqB2dbCI2W5MlpvR813puGrAx8TESeUjTQ9gTuVXTA/out-0.webp" ], "started_at": "2024-08-28T22:49:34.953422Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/m7cegg8qwdrm40chkcqa33trqc", "cancel": "https://api.replicate.com/v1/predictions/m7cegg8qwdrm40chkcqa33trqc/cancel" }, "version": "dadc276a9062240e68f110ca06521752f334777a94f031feb0ae78ae3edca58e" }Generated inUsing seed: 12114 Prompt: ZIKI, a mature man with graying temples, painting a hyperrealistic mural on the side of a building in a busy city street, his face furrowed in concentration as passersby watch in amazement. txt2img mode Using dev model free=9933659725824 Downloading weights 2024-08-28T22:49:35Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpaed14m75/weights url=https://replicate.delivery/yhqm/m0jkcwlTOFqDB1YhFnJV4ZvdpfRxAFSE8xlqyhqTgQJ3zqrJA/trained_model.tar 2024-08-28T22:49:38Z | INFO | [ Complete ] dest=/tmp/tmpaed14m75/weights size="172 MB" total_elapsed=3.562s url=https://replicate.delivery/yhqm/m0jkcwlTOFqDB1YhFnJV4ZvdpfRxAFSE8xlqyhqTgQJ3zqrJA/trained_model.tar Downloaded weights in 3.59s Loaded LoRAs in 12.30s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.66it/s] 7%|▋ | 2/28 [00:00<00:06, 4.21it/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, 3.71it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.70it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.68it/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, 3.66it/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, 3.66it/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, 3.66it/s] 100%|██████████| 28/28 [00:07<00:00, 3.69it/s]Prediction
zeke/ziki-flux:dadc276a9062240e68f110ca06521752f334777a94f031feb0ae78ae3edca58eInput
- model
- dev
- prompt
- ZIKI, a rugged adult man with weather-beaten features, standing atop Mount Everest at dawn, his oxygen mask removed to reveal his triumphant smile as he surveys the breathtaking view 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": "ZIKI, a rugged adult man with weather-beaten features, standing atop Mount Everest at dawn, his oxygen mask removed to reveal his triumphant smile as he surveys the breathtaking view 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 zeke/ziki-flux using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "zeke/ziki-flux:dadc276a9062240e68f110ca06521752f334777a94f031feb0ae78ae3edca58e", { input: { model: "dev", prompt: "ZIKI, a rugged adult man with weather-beaten features, standing atop Mount Everest at dawn, his oxygen mask removed to reveal his triumphant smile as he surveys the breathtaking view 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 zeke/ziki-flux using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "zeke/ziki-flux:dadc276a9062240e68f110ca06521752f334777a94f031feb0ae78ae3edca58e", input={ "model": "dev", "prompt": "ZIKI, a rugged adult man with weather-beaten features, standing atop Mount Everest at dawn, his oxygen mask removed to reveal his triumphant smile as he surveys the breathtaking view 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 zeke/ziki-flux 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": "dadc276a9062240e68f110ca06521752f334777a94f031feb0ae78ae3edca58e", "input": { "model": "dev", "prompt": "ZIKI, a rugged adult man with weather-beaten features, standing atop Mount Everest at dawn, his oxygen mask removed to reveal his triumphant smile as he surveys the breathtaking view 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": "2024-08-28T22:50:06.963560Z", "created_at": "2024-08-28T22:49:49.550000Z", "data_removed": false, "error": null, "id": "aaap8htgxsrm00chkcq9t5z6pg", "input": { "model": "dev", "prompt": "ZIKI, a rugged adult man with weather-beaten features, standing atop Mount Everest at dawn, his oxygen mask removed to reveal his triumphant smile as he surveys the breathtaking view 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: 47362\nPrompt: ZIKI, a rugged adult man with weather-beaten features, standing atop Mount Everest at dawn, his oxygen mask removed to reveal his triumphant smile as he surveys the breathtaking view below.\ntxt2img mode\nUsing dev model\nLoaded LoRAs in 9.32s\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, 3.86it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.80it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.76it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.74it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.72it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.71it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.70it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.70it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.70it/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, 3.69it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.69it/s]\n 68%|██████▊ | 19/28 [00:05<00:02, 3.69it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.69it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.69it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.69it/s]\n 82%|████████▏ | 23/28 [00:06<00:01, 3.69it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.69it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.69it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.69it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.69it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.69it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.72it/s]", "metrics": { "predict_time": 17.405277263, "total_time": 17.41356 }, "output": [ "https://replicate.delivery/yhqm/EoZExJ0Pilo4A5b71T4CVeuNLz9wtlEByDschhpXr5fecrumA/out-0.webp" ], "started_at": "2024-08-28T22:49:49.558282Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/aaap8htgxsrm00chkcq9t5z6pg", "cancel": "https://api.replicate.com/v1/predictions/aaap8htgxsrm00chkcq9t5z6pg/cancel" }, "version": "dadc276a9062240e68f110ca06521752f334777a94f031feb0ae78ae3edca58e" }Generated inUsing seed: 47362 Prompt: ZIKI, a rugged adult man with weather-beaten features, standing atop Mount Everest at dawn, his oxygen mask removed to reveal his triumphant smile as he surveys the breathtaking view below. txt2img mode Using dev model Loaded LoRAs in 9.32s 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, 3.86it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.80it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.76it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.74it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.72it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.71it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.70it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.70it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.70it/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, 3.69it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.69it/s] 68%|██████▊ | 19/28 [00:05<00:02, 3.69it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.69it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.69it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.69it/s] 82%|████████▏ | 23/28 [00:06<00:01, 3.69it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.69it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.69it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.69it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.69it/s] 100%|██████████| 28/28 [00:07<00:00, 3.69it/s] 100%|██████████| 28/28 [00:07<00:00, 3.72it/s]Prediction
zeke/ziki-flux:dadc276a9062240e68f110ca06521752f334777a94f031feb0ae78ae3edca58eIDfs9e51mqr5rm00chkwsagm4rjcStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- ZIKI stands before a classroom of attentive high school students, gesturing at a complex mathematics equation on the blackboard. He wears a tweed jacket with elbow patches, and his eyes sparkle with passion for the subject. Chalk dust covers his fingers and has left a smudge on his chin.
- 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": "ZIKI stands before a classroom of attentive high school students, gesturing at a complex mathematics equation on the blackboard. He wears a tweed jacket with elbow patches, and his eyes sparkle with passion for the subject. Chalk dust covers his fingers and has left a smudge on his chin.", "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 zeke/ziki-flux using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "zeke/ziki-flux:dadc276a9062240e68f110ca06521752f334777a94f031feb0ae78ae3edca58e", { input: { model: "dev", prompt: "ZIKI stands before a classroom of attentive high school students, gesturing at a complex mathematics equation on the blackboard. He wears a tweed jacket with elbow patches, and his eyes sparkle with passion for the subject. Chalk dust covers his fingers and has left a smudge on his chin.", 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 zeke/ziki-flux using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "zeke/ziki-flux:dadc276a9062240e68f110ca06521752f334777a94f031feb0ae78ae3edca58e", input={ "model": "dev", "prompt": "ZIKI stands before a classroom of attentive high school students, gesturing at a complex mathematics equation on the blackboard. He wears a tweed jacket with elbow patches, and his eyes sparkle with passion for the subject. Chalk dust covers his fingers and has left a smudge on his chin.", "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 zeke/ziki-flux 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": "dadc276a9062240e68f110ca06521752f334777a94f031feb0ae78ae3edca58e", "input": { "model": "dev", "prompt": "ZIKI stands before a classroom of attentive high school students, gesturing at a complex mathematics equation on the blackboard. He wears a tweed jacket with elbow patches, and his eyes sparkle with passion for the subject. Chalk dust covers his fingers and has left a smudge on his chin.", "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": "2024-08-29T17:33:30.292690Z", "created_at": "2024-08-29T17:32:58.689000Z", "data_removed": false, "error": null, "id": "fs9e51mqr5rm00chkwsagm4rjc", "input": { "model": "dev", "prompt": "ZIKI stands before a classroom of attentive high school students, gesturing at a complex mathematics equation on the blackboard. He wears a tweed jacket with elbow patches, and his eyes sparkle with passion for the subject. Chalk dust covers his fingers and has left a smudge on his chin.", "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: 733\nPrompt: ZIKI stands before a classroom of attentive high school students, gesturing at a complex mathematics equation on the blackboard. He wears a tweed jacket with elbow patches, and his eyes sparkle with passion for the subject. Chalk dust covers his fingers and has left a smudge on his chin.\ntxt2img mode\nUsing dev model\nLoaded LoRAs in 9.38s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.64it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.19it/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, 3.72it/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, 3.67it/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, 3.65it/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, 3.66it/s]\n 61%|██████ | 17/28 [00:04<00:03, 3.65it/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, 3.65it/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, 3.65it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.65it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.68it/s]", "metrics": { "predict_time": 17.538161289, "total_time": 31.60369 }, "output": [ "https://replicate.delivery/yhqm/yRtfnrEie8jb0U4RQcDf7XpE9cLSzhVSfAgpighseDPWdx8aC/out-0.webp" ], "started_at": "2024-08-29T17:33:12.754529Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/fs9e51mqr5rm00chkwsagm4rjc", "cancel": "https://api.replicate.com/v1/predictions/fs9e51mqr5rm00chkwsagm4rjc/cancel" }, "version": "dadc276a9062240e68f110ca06521752f334777a94f031feb0ae78ae3edca58e" }Generated inUsing seed: 733 Prompt: ZIKI stands before a classroom of attentive high school students, gesturing at a complex mathematics equation on the blackboard. He wears a tweed jacket with elbow patches, and his eyes sparkle with passion for the subject. Chalk dust covers his fingers and has left a smudge on his chin. txt2img mode Using dev model Loaded LoRAs in 9.38s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.64it/s] 7%|▋ | 2/28 [00:00<00:06, 4.19it/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, 3.72it/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, 3.67it/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, 3.65it/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, 3.66it/s] 61%|██████ | 17/28 [00:04<00:03, 3.65it/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, 3.65it/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, 3.65it/s] 100%|██████████| 28/28 [00:07<00:00, 3.65it/s] 100%|██████████| 28/28 [00:07<00:00, 3.68it/s]Prediction
zeke/ziki-flux:dadc276a9062240e68f110ca06521752f334777a94f031feb0ae78ae3edca58eIDhngaw9hd4xrm60chkcw88kbx04StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- Portrait of ZIKI, an adult male firefighter with soot-streaked features, carrying a rescued child from a burning building, his face a mix of determination and relief as he emerges through the smoke.
- 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": "Portrait of ZIKI, an adult male firefighter with soot-streaked features, carrying a rescued child from a burning building, his face a mix of determination and relief as he emerges through the smoke.", "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 zeke/ziki-flux using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "zeke/ziki-flux:dadc276a9062240e68f110ca06521752f334777a94f031feb0ae78ae3edca58e", { input: { model: "dev", prompt: "Portrait of ZIKI, an adult male firefighter with soot-streaked features, carrying a rescued child from a burning building, his face a mix of determination and relief as he emerges through the smoke.", 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 zeke/ziki-flux using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "zeke/ziki-flux:dadc276a9062240e68f110ca06521752f334777a94f031feb0ae78ae3edca58e", input={ "model": "dev", "prompt": "Portrait of ZIKI, an adult male firefighter with soot-streaked features, carrying a rescued child from a burning building, his face a mix of determination and relief as he emerges through the smoke.", "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 zeke/ziki-flux 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": "dadc276a9062240e68f110ca06521752f334777a94f031feb0ae78ae3edca58e", "input": { "model": "dev", "prompt": "Portrait of ZIKI, an adult male firefighter with soot-streaked features, carrying a rescued child from a burning building, his face a mix of determination and relief as he emerges through the smoke.", "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": "2024-08-28T23:00:47.126046Z", "created_at": "2024-08-28T23:00:35.751000Z", "data_removed": false, "error": null, "id": "hngaw9hd4xrm60chkcw88kbx04", "input": { "model": "dev", "prompt": "Portrait of ZIKI, an adult male firefighter with soot-streaked features, carrying a rescued child from a burning building, his face a mix of determination and relief as he emerges through the smoke.", "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: 46830\nPrompt: Portrait of ZIKI, an adult male firefighter with soot-streaked features, carrying a rescued child from a burning building, his face a mix of determination and relief as he emerges through the smoke.\ntxt2img mode\nUsing dev model\nWeights already loaded\nLoaded LoRAs in 0.04s\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, 3.84it/s]\n 18%|█▊ | 5/28 [00:01<00:06, 3.78it/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, 3.71it/s]\n 32%|███▏ | 9/28 [00:02<00:05, 3.69it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.69it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.68it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.68it/s]\n 46%|████▋ | 13/28 [00:03<00:04, 3.68it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.68it/s]\n 54%|█████▎ | 15/28 [00:04<00:03, 3.68it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.68it/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, 3.68it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.67it/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, 3.70it/s]", "metrics": { "predict_time": 8.12681911, "total_time": 11.375046 }, "output": [ "https://replicate.delivery/yhqm/zJ5uY77mecyCRyK9KmfKJZSTLeqYhEL36uwLB30R3ZZ9wrumA/out-0.webp" ], "started_at": "2024-08-28T23:00:38.999227Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/hngaw9hd4xrm60chkcw88kbx04", "cancel": "https://api.replicate.com/v1/predictions/hngaw9hd4xrm60chkcw88kbx04/cancel" }, "version": "dadc276a9062240e68f110ca06521752f334777a94f031feb0ae78ae3edca58e" }Generated inUsing seed: 46830 Prompt: Portrait of ZIKI, an adult male firefighter with soot-streaked features, carrying a rescued child from a burning building, his face a mix of determination and relief as he emerges through the smoke. txt2img mode Using dev model Weights already loaded Loaded LoRAs in 0.04s 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, 3.84it/s] 18%|█▊ | 5/28 [00:01<00:06, 3.78it/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, 3.71it/s] 32%|███▏ | 9/28 [00:02<00:05, 3.69it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.69it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.68it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.68it/s] 46%|████▋ | 13/28 [00:03<00:04, 3.68it/s] 50%|█████ | 14/28 [00:03<00:03, 3.68it/s] 54%|█████▎ | 15/28 [00:04<00:03, 3.68it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.68it/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, 3.68it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.67it/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, 3.70it/s]
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