danovate2 / avatar_train_dan
- Public
- 44 runs
Prediction
danovate2/avatar_train_dan:3b370ef892f58c601086670dc43530cdc73bffdfb8fe751af87aaee7c28c93a2IDhk4czs39m5rme0cq0bsv0b59t8StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- TOK_AVAT the bald AI Automation Expert Daniel sits at a rustic wooden desk in his home office, wearing a light blue Oxford shirt with rolled-up sleeves. A Neewer softbox camera-left provides key light; a desk lamp behind casts warm fill. On the desk: a laptop displaying code, a mechanical keyboard, and a steaming mug. Floor-to-ceiling shelves of books are softly blurred behind him. Subtle wrinkles in his shirt and the grain of the wood surface lend a lived-in feel.
- go_fast
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3
- output_quality
- 80
- prompt_strength
- 0.9
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "TOK_AVAT the bald AI Automation Expert Daniel sits at a rustic wooden desk in his home office, wearing a light blue Oxford shirt with rolled-up sleeves. A Neewer softbox camera-left provides key light; a desk lamp behind casts warm fill. On the desk: a laptop displaying code, a mechanical keyboard, and a steaming mug. Floor-to-ceiling shelves of books are softly blurred behind him. Subtle wrinkles in his shirt and the grain of the wood surface lend a lived-in feel.", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.9, "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 danovate2/avatar_train_dan using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "danovate2/avatar_train_dan:3b370ef892f58c601086670dc43530cdc73bffdfb8fe751af87aaee7c28c93a2", { input: { model: "dev", prompt: "TOK_AVAT the bald AI Automation Expert Daniel sits at a rustic wooden desk in his home office, wearing a light blue Oxford shirt with rolled-up sleeves. A Neewer softbox camera-left provides key light; a desk lamp behind casts warm fill. On the desk: a laptop displaying code, a mechanical keyboard, and a steaming mug. Floor-to-ceiling shelves of books are softly blurred behind him. Subtle wrinkles in his shirt and the grain of the wood surface lend a lived-in feel.", go_fast: false, lora_scale: 1, megapixels: "1", num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3, output_quality: 80, prompt_strength: 0.9, 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 danovate2/avatar_train_dan using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "danovate2/avatar_train_dan:3b370ef892f58c601086670dc43530cdc73bffdfb8fe751af87aaee7c28c93a2", input={ "model": "dev", "prompt": "TOK_AVAT the bald AI Automation Expert Daniel sits at a rustic wooden desk in his home office, wearing a light blue Oxford shirt with rolled-up sleeves. A Neewer softbox camera-left provides key light; a desk lamp behind casts warm fill. On the desk: a laptop displaying code, a mechanical keyboard, and a steaming mug. Floor-to-ceiling shelves of books are softly blurred behind him. Subtle wrinkles in his shirt and the grain of the wood surface lend a lived-in feel.", "go_fast": False, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.9, "extra_lora_scale": 1, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run danovate2/avatar_train_dan 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": "danovate2/avatar_train_dan:3b370ef892f58c601086670dc43530cdc73bffdfb8fe751af87aaee7c28c93a2", "input": { "model": "dev", "prompt": "TOK_AVAT the bald AI Automation Expert Daniel sits at a rustic wooden desk in his home office, wearing a light blue Oxford shirt with rolled-up sleeves. A Neewer softbox camera-left provides key light; a desk lamp behind casts warm fill. On the desk: a laptop displaying code, a mechanical keyboard, and a steaming mug. Floor-to-ceiling shelves of books are softly blurred behind him. Subtle wrinkles in his shirt and the grain of the wood surface lend a lived-in feel.", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.9, "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": "2025-05-24T15:40:04.420757Z", "created_at": "2025-05-24T15:39:56.193000Z", "data_removed": false, "error": null, "id": "hk4czs39m5rme0cq0bsv0b59t8", "input": { "model": "dev", "prompt": "TOK_AVAT the bald AI Automation Expert Daniel sits at a rustic wooden desk in his home office, wearing a light blue Oxford shirt with rolled-up sleeves. A Neewer softbox camera-left provides key light; a desk lamp behind casts warm fill. On the desk: a laptop displaying code, a mechanical keyboard, and a steaming mug. Floor-to-ceiling shelves of books are softly blurred behind him. Subtle wrinkles in his shirt and the grain of the wood surface lend a lived-in feel.", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.9, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "Loaded LoRAs in 0.60s\nUsing seed: 2508\nPrompt: TOK_AVAT the bald AI Automation Expert Daniel sits at a rustic wooden desk in his home office, wearing a light blue Oxford shirt with rolled-up sleeves. A Neewer softbox camera-left provides key light; a desk lamp behind casts warm fill. On the desk: a laptop displaying code, a mechanical keyboard, and a steaming mug. Floor-to-ceiling shelves of books are softly blurred behind him. Subtle wrinkles in his shirt and the grain of the wood surface lend a lived-in feel.\n[!] txt2img mode\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.81it/s]\n 7%|▋ | 2/28 [00:00<00:05, 4.34it/s]\n 11%|█ | 3/28 [00:00<00:06, 4.10it/s]\n 14%|█▍ | 4/28 [00:00<00:06, 4.00it/s]\n 18%|█▊ | 5/28 [00:01<00:05, 3.94it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.91it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.89it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.88it/s]\n 32%|███▏ | 9/28 [00:02<00:04, 3.87it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.87it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.86it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.86it/s]\n 46%|████▋ | 13/28 [00:03<00:03, 3.86it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.85it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 3.85it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.85it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.85it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.85it/s]\n 68%|██████▊ | 19/28 [00:04<00:02, 3.85it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.84it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.84it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.84it/s]\n 82%|████████▏ | 23/28 [00:05<00:01, 3.84it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.85it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.85it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.85it/s]\n 96%|█████████▋| 27/28 [00:06<00:00, 3.85it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.84it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.87it/s]\nTotal safe images: 1 out of 1", "metrics": { "predict_time": 8.108874873, "total_time": 8.227757 }, "output": [ "https://replicate.delivery/xezq/FCrKuWjIy2oTDpspzRBYi4g0Xzcvo3BpvFJj0DSDvfOq08XKA/out-0.webp" ], "started_at": "2025-05-24T15:39:56.311882Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-cxfo744xotcyrmojkvwkmlyqjfw3rsncdfcnfum524qgjnoil5uq", "get": "https://api.replicate.com/v1/predictions/hk4czs39m5rme0cq0bsv0b59t8", "cancel": "https://api.replicate.com/v1/predictions/hk4czs39m5rme0cq0bsv0b59t8/cancel" }, "version": "3b370ef892f58c601086670dc43530cdc73bffdfb8fe751af87aaee7c28c93a2" }Generated inLoaded LoRAs in 0.60s Using seed: 2508 Prompt: TOK_AVAT the bald AI Automation Expert Daniel sits at a rustic wooden desk in his home office, wearing a light blue Oxford shirt with rolled-up sleeves. A Neewer softbox camera-left provides key light; a desk lamp behind casts warm fill. On the desk: a laptop displaying code, a mechanical keyboard, and a steaming mug. Floor-to-ceiling shelves of books are softly blurred behind him. Subtle wrinkles in his shirt and the grain of the wood surface lend a lived-in feel. [!] txt2img mode 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.81it/s] 7%|▋ | 2/28 [00:00<00:05, 4.34it/s] 11%|█ | 3/28 [00:00<00:06, 4.10it/s] 14%|█▍ | 4/28 [00:00<00:06, 4.00it/s] 18%|█▊ | 5/28 [00:01<00:05, 3.94it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.91it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.89it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.88it/s] 32%|███▏ | 9/28 [00:02<00:04, 3.87it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.87it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.86it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.86it/s] 46%|████▋ | 13/28 [00:03<00:03, 3.86it/s] 50%|█████ | 14/28 [00:03<00:03, 3.85it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.85it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.85it/s] 61%|██████ | 17/28 [00:04<00:02, 3.85it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.85it/s] 68%|██████▊ | 19/28 [00:04<00:02, 3.85it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.84it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.84it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.84it/s] 82%|████████▏ | 23/28 [00:05<00:01, 3.84it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.85it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.85it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.85it/s] 96%|█████████▋| 27/28 [00:06<00:00, 3.85it/s] 100%|██████████| 28/28 [00:07<00:00, 3.84it/s] 100%|██████████| 28/28 [00:07<00:00, 3.87it/s] Total safe images: 1 out of 1Prediction
danovate2/avatar_train_dan:3b370ef892f58c601086670dc43530cdc73bffdfb8fe751af87aaee7c28c93a2IDhxx6ehqgydrme0cq0bstgzcc5cStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- TOK_AVAT the bald AI Automation Expert Daniel stands mid-stride on a city street at dusk, wearing a black leather biker jacket over a white crewneck tee and dark jeans. Natural overcast light provides even illumination; a speedlight with a diffuser adds a catchlight in his eyes. The blurred graffiti wall behind him gives an urban edge. Minute details—paint droplet specks on the brick and the soft grain of the leather—enhance the gritty vibe.
- go_fast
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 1
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 3
- output_quality
- 80
- prompt_strength
- 0.9
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "TOK_AVAT the bald AI Automation Expert Daniel stands mid-stride on a city street at dusk, wearing a black leather biker jacket over a white crewneck tee and dark jeans. Natural overcast light provides even illumination; a speedlight with a diffuser adds a catchlight in his eyes. The blurred graffiti wall behind him gives an urban edge. Minute details—paint droplet specks on the brick and the soft grain of the leather—enhance the gritty vibe.", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.9, "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 danovate2/avatar_train_dan using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "danovate2/avatar_train_dan:3b370ef892f58c601086670dc43530cdc73bffdfb8fe751af87aaee7c28c93a2", { input: { model: "dev", prompt: "TOK_AVAT the bald AI Automation Expert Daniel stands mid-stride on a city street at dusk, wearing a black leather biker jacket over a white crewneck tee and dark jeans. Natural overcast light provides even illumination; a speedlight with a diffuser adds a catchlight in his eyes. The blurred graffiti wall behind him gives an urban edge. Minute details—paint droplet specks on the brick and the soft grain of the leather—enhance the gritty vibe.", go_fast: false, lora_scale: 1, megapixels: "1", num_outputs: 1, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 3, output_quality: 80, prompt_strength: 0.9, 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 danovate2/avatar_train_dan using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "danovate2/avatar_train_dan:3b370ef892f58c601086670dc43530cdc73bffdfb8fe751af87aaee7c28c93a2", input={ "model": "dev", "prompt": "TOK_AVAT the bald AI Automation Expert Daniel stands mid-stride on a city street at dusk, wearing a black leather biker jacket over a white crewneck tee and dark jeans. Natural overcast light provides even illumination; a speedlight with a diffuser adds a catchlight in his eyes. The blurred graffiti wall behind him gives an urban edge. Minute details—paint droplet specks on the brick and the soft grain of the leather—enhance the gritty vibe.", "go_fast": False, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.9, "extra_lora_scale": 1, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run danovate2/avatar_train_dan 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": "danovate2/avatar_train_dan:3b370ef892f58c601086670dc43530cdc73bffdfb8fe751af87aaee7c28c93a2", "input": { "model": "dev", "prompt": "TOK_AVAT the bald AI Automation Expert Daniel stands mid-stride on a city street at dusk, wearing a black leather biker jacket over a white crewneck tee and dark jeans. Natural overcast light provides even illumination; a speedlight with a diffuser adds a catchlight in his eyes. The blurred graffiti wall behind him gives an urban edge. Minute details—paint droplet specks on the brick and the soft grain of the leather—enhance the gritty vibe.", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.9, "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": "2025-05-24T15:40:41.397513Z", "created_at": "2025-05-24T15:40:30.835000Z", "data_removed": false, "error": null, "id": "hxx6ehqgydrme0cq0bstgzcc5c", "input": { "model": "dev", "prompt": "TOK_AVAT the bald AI Automation Expert Daniel stands mid-stride on a city street at dusk, wearing a black leather biker jacket over a white crewneck tee and dark jeans. Natural overcast light provides even illumination; a speedlight with a diffuser adds a catchlight in his eyes. The blurred graffiti wall behind him gives an urban edge. Minute details—paint droplet specks on the brick and the soft grain of the leather—enhance the gritty vibe.", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.9, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "free=27116088954880\nDownloading weights\n2025-05-24T15:40:31Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpyl785q8d/weights url=https://replicate.delivery/xezq/iNBeiJSwFYRIRakDATvz0UQDg5D2IG5jN1GPLIXgJkgEc8XKA/trained_model.tar\n2025-05-24T15:40:31Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local\n2025-05-24T15:40:33Z | INFO | [ Complete ] dest=/tmp/tmpyl785q8d/weights size=\"172 MB\" total_elapsed=2.275s url=https://replicate.delivery/xezq/iNBeiJSwFYRIRakDATvz0UQDg5D2IG5jN1GPLIXgJkgEc8XKA/trained_model.tar\nDownloaded weights in 2.30s\nLoaded LoRAs in 2.85s\nUsing seed: 7270\nPrompt: TOK_AVAT the bald AI Automation Expert Daniel stands mid-stride on a city street at dusk, wearing a black leather biker jacket over a white crewneck tee and dark jeans. Natural overcast light provides even illumination; a speedlight with a diffuser adds a catchlight in his eyes. The blurred graffiti wall behind him gives an urban edge. Minute details—paint droplet specks on the brick and the soft grain of the leather—enhance the gritty vibe.\n[!] txt2img mode\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.81it/s]\n 7%|▋ | 2/28 [00:00<00:06, 4.32it/s]\n 11%|█ | 3/28 [00:00<00:06, 4.07it/s]\n 14%|█▍ | 4/28 [00:00<00:06, 3.96it/s]\n 18%|█▊ | 5/28 [00:01<00:05, 3.90it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.87it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.84it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.83it/s]\n 32%|███▏ | 9/28 [00:02<00:04, 3.82it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.81it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.80it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.80it/s]\n 46%|████▋ | 13/28 [00:03<00:03, 3.80it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.80it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 3.80it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.80it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.80it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.81it/s]\n 68%|██████▊ | 19/28 [00:04<00:02, 3.80it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.80it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.80it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.81it/s]\n 82%|████████▏ | 23/28 [00:05<00:01, 3.80it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.81it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.80it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.81it/s]\n 96%|█████████▋| 27/28 [00:07<00:00, 3.81it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.80it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.83it/s]\nTotal safe images: 1 out of 1", "metrics": { "predict_time": 10.440947671, "total_time": 10.562513 }, "output": [ "https://replicate.delivery/xezq/1IzqD005fR2ZbKwc13hX7tyCw0H9pJfV7rfQ9rX5Oc4zTzfSB/out-0.webp" ], "started_at": "2025-05-24T15:40:30.956565Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-krlvrsd6ontugcxfv3eztyttx7v32zazomvqvvg7lriqz4okh2ba", "get": "https://api.replicate.com/v1/predictions/hxx6ehqgydrme0cq0bstgzcc5c", "cancel": "https://api.replicate.com/v1/predictions/hxx6ehqgydrme0cq0bstgzcc5c/cancel" }, "version": "3b370ef892f58c601086670dc43530cdc73bffdfb8fe751af87aaee7c28c93a2" }Generated infree=27116088954880 Downloading weights 2025-05-24T15:40:31Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpyl785q8d/weights url=https://replicate.delivery/xezq/iNBeiJSwFYRIRakDATvz0UQDg5D2IG5jN1GPLIXgJkgEc8XKA/trained_model.tar 2025-05-24T15:40:31Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local 2025-05-24T15:40:33Z | INFO | [ Complete ] dest=/tmp/tmpyl785q8d/weights size="172 MB" total_elapsed=2.275s url=https://replicate.delivery/xezq/iNBeiJSwFYRIRakDATvz0UQDg5D2IG5jN1GPLIXgJkgEc8XKA/trained_model.tar Downloaded weights in 2.30s Loaded LoRAs in 2.85s Using seed: 7270 Prompt: TOK_AVAT the bald AI Automation Expert Daniel stands mid-stride on a city street at dusk, wearing a black leather biker jacket over a white crewneck tee and dark jeans. Natural overcast light provides even illumination; a speedlight with a diffuser adds a catchlight in his eyes. The blurred graffiti wall behind him gives an urban edge. Minute details—paint droplet specks on the brick and the soft grain of the leather—enhance the gritty vibe. [!] txt2img mode 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.81it/s] 7%|▋ | 2/28 [00:00<00:06, 4.32it/s] 11%|█ | 3/28 [00:00<00:06, 4.07it/s] 14%|█▍ | 4/28 [00:00<00:06, 3.96it/s] 18%|█▊ | 5/28 [00:01<00:05, 3.90it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.87it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.84it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.83it/s] 32%|███▏ | 9/28 [00:02<00:04, 3.82it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.81it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.80it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.80it/s] 46%|████▋ | 13/28 [00:03<00:03, 3.80it/s] 50%|█████ | 14/28 [00:03<00:03, 3.80it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.80it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.80it/s] 61%|██████ | 17/28 [00:04<00:02, 3.80it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.81it/s] 68%|██████▊ | 19/28 [00:04<00:02, 3.80it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.80it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.80it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.81it/s] 82%|████████▏ | 23/28 [00:05<00:01, 3.80it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.81it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.80it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.81it/s] 96%|█████████▋| 27/28 [00:07<00:00, 3.81it/s] 100%|██████████| 28/28 [00:07<00:00, 3.80it/s] 100%|██████████| 28/28 [00:07<00:00, 3.83it/s] Total safe images: 1 out of 1Prediction
danovate2/avatar_train_dan:3b370ef892f58c601086670dc43530cdc73bffdfb8fe751af87aaee7c28c93a2IDm6fky6r3hnrme0cq0btrb8rr94StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- TOK_AVAT Daniel relaxes poolside at a resort, wearing a white linen short-sleeve shirt and navy swim trunks. Golden-hour sunlight backlights his silhouette; a CTO-gelled Profoto B10 mimics sunset warmth as key light. Turquoise water and palm trees blur softly behind. Tiny water droplets on his shoulders and the texture of his linen shirt underscore the vacation ambiance.
- go_fast
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 1
- aspect_ratio
- 16:9
- output_format
- webp
- guidance_scale
- 3
- output_quality
- 80
- prompt_strength
- 0.9
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "TOK_AVAT Daniel relaxes poolside at a resort, wearing a white linen short-sleeve shirt and navy swim trunks. Golden-hour sunlight backlights his silhouette; a CTO-gelled Profoto B10 mimics sunset warmth as key light. Turquoise water and palm trees blur softly behind. Tiny water droplets on his shoulders and the texture of his linen shirt underscore the vacation ambiance.", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "16:9", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.9, "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 danovate2/avatar_train_dan using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "danovate2/avatar_train_dan:3b370ef892f58c601086670dc43530cdc73bffdfb8fe751af87aaee7c28c93a2", { input: { model: "dev", prompt: "TOK_AVAT Daniel relaxes poolside at a resort, wearing a white linen short-sleeve shirt and navy swim trunks. Golden-hour sunlight backlights his silhouette; a CTO-gelled Profoto B10 mimics sunset warmth as key light. Turquoise water and palm trees blur softly behind. Tiny water droplets on his shoulders and the texture of his linen shirt underscore the vacation ambiance.", go_fast: false, lora_scale: 1, megapixels: "1", num_outputs: 1, aspect_ratio: "16:9", output_format: "webp", guidance_scale: 3, output_quality: 80, prompt_strength: 0.9, 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 danovate2/avatar_train_dan using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "danovate2/avatar_train_dan:3b370ef892f58c601086670dc43530cdc73bffdfb8fe751af87aaee7c28c93a2", input={ "model": "dev", "prompt": "TOK_AVAT Daniel relaxes poolside at a resort, wearing a white linen short-sleeve shirt and navy swim trunks. Golden-hour sunlight backlights his silhouette; a CTO-gelled Profoto B10 mimics sunset warmth as key light. Turquoise water and palm trees blur softly behind. Tiny water droplets on his shoulders and the texture of his linen shirt underscore the vacation ambiance.", "go_fast": False, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "16:9", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.9, "extra_lora_scale": 1, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run danovate2/avatar_train_dan 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": "danovate2/avatar_train_dan:3b370ef892f58c601086670dc43530cdc73bffdfb8fe751af87aaee7c28c93a2", "input": { "model": "dev", "prompt": "TOK_AVAT Daniel relaxes poolside at a resort, wearing a white linen short-sleeve shirt and navy swim trunks. Golden-hour sunlight backlights his silhouette; a CTO-gelled Profoto B10 mimics sunset warmth as key light. Turquoise water and palm trees blur softly behind. Tiny water droplets on his shoulders and the texture of his linen shirt underscore the vacation ambiance.", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "16:9", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.9, "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": "2025-05-24T15:41:52.022363Z", "created_at": "2025-05-24T15:41:41.133000Z", "data_removed": false, "error": null, "id": "m6fky6r3hnrme0cq0btrb8rr94", "input": { "model": "dev", "prompt": "TOK_AVAT Daniel relaxes poolside at a resort, wearing a white linen short-sleeve shirt and navy swim trunks. Golden-hour sunlight backlights his silhouette; a CTO-gelled Profoto B10 mimics sunset warmth as key light. Turquoise water and palm trees blur softly behind. Tiny water droplets on his shoulders and the texture of his linen shirt underscore the vacation ambiance.", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "16:9", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.9, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "free=26964581744640\nDownloading weights\n2025-05-24T15:41:43Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpoggyzhgj/weights url=https://replicate.delivery/xezq/iNBeiJSwFYRIRakDATvz0UQDg5D2IG5jN1GPLIXgJkgEc8XKA/trained_model.tar\n2025-05-24T15:41:43Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local\n2025-05-24T15:41:44Z | INFO | [ Complete ] dest=/tmp/tmpoggyzhgj/weights size=\"172 MB\" total_elapsed=0.445s url=https://replicate.delivery/xezq/iNBeiJSwFYRIRakDATvz0UQDg5D2IG5jN1GPLIXgJkgEc8XKA/trained_model.tar\nDownloaded weights in 0.46s\nLoaded LoRAs in 1.03s\nUsing seed: 14241\nPrompt: TOK_AVAT Daniel relaxes poolside at a resort, wearing a white linen short-sleeve shirt and navy swim trunks. Golden-hour sunlight backlights his silhouette; a CTO-gelled Profoto B10 mimics sunset warmth as key light. Turquoise water and palm trees blur softly behind. Tiny water droplets on his shoulders and the texture of his linen shirt underscore the vacation ambiance.\n[!] txt2img mode\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.85it/s]\n 7%|▋ | 2/28 [00:00<00:05, 4.36it/s]\n 11%|█ | 3/28 [00:00<00:06, 4.11it/s]\n 14%|█▍ | 4/28 [00:00<00:05, 4.00it/s]\n 18%|█▊ | 5/28 [00:01<00:05, 3.95it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.92it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.90it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.88it/s]\n 32%|███▏ | 9/28 [00:02<00:04, 3.88it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.87it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.87it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.86it/s]\n 46%|████▋ | 13/28 [00:03<00:03, 3.86it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.86it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 3.86it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.86it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.86it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.86it/s]\n 68%|██████▊ | 19/28 [00:04<00:02, 3.86it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.86it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.86it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.86it/s]\n 82%|████████▏ | 23/28 [00:05<00:01, 3.86it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.86it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.86it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.86it/s]\n 96%|█████████▋| 27/28 [00:06<00:00, 3.86it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.86it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.88it/s]\nTotal safe images: 1 out of 1", "metrics": { "predict_time": 8.509626647, "total_time": 10.889363 }, "output": [ "https://replicate.delivery/xezq/rOf2Dw8eW1ggKEFvXjJ3GB2Lg0clJecEn4d63QfCemmBYNfLF/out-0.webp" ], "started_at": "2025-05-24T15:41:43.512736Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-gqajixftyeot4rpqzc7andanbqlxppum4sitfwndna5br5xig5fa", "get": "https://api.replicate.com/v1/predictions/m6fky6r3hnrme0cq0btrb8rr94", "cancel": "https://api.replicate.com/v1/predictions/m6fky6r3hnrme0cq0btrb8rr94/cancel" }, "version": "3b370ef892f58c601086670dc43530cdc73bffdfb8fe751af87aaee7c28c93a2" }Generated infree=26964581744640 Downloading weights 2025-05-24T15:41:43Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpoggyzhgj/weights url=https://replicate.delivery/xezq/iNBeiJSwFYRIRakDATvz0UQDg5D2IG5jN1GPLIXgJkgEc8XKA/trained_model.tar 2025-05-24T15:41:43Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local 2025-05-24T15:41:44Z | INFO | [ Complete ] dest=/tmp/tmpoggyzhgj/weights size="172 MB" total_elapsed=0.445s url=https://replicate.delivery/xezq/iNBeiJSwFYRIRakDATvz0UQDg5D2IG5jN1GPLIXgJkgEc8XKA/trained_model.tar Downloaded weights in 0.46s Loaded LoRAs in 1.03s Using seed: 14241 Prompt: TOK_AVAT Daniel relaxes poolside at a resort, wearing a white linen short-sleeve shirt and navy swim trunks. Golden-hour sunlight backlights his silhouette; a CTO-gelled Profoto B10 mimics sunset warmth as key light. Turquoise water and palm trees blur softly behind. Tiny water droplets on his shoulders and the texture of his linen shirt underscore the vacation ambiance. [!] txt2img mode 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.85it/s] 7%|▋ | 2/28 [00:00<00:05, 4.36it/s] 11%|█ | 3/28 [00:00<00:06, 4.11it/s] 14%|█▍ | 4/28 [00:00<00:05, 4.00it/s] 18%|█▊ | 5/28 [00:01<00:05, 3.95it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.92it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.90it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.88it/s] 32%|███▏ | 9/28 [00:02<00:04, 3.88it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.87it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.87it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.86it/s] 46%|████▋ | 13/28 [00:03<00:03, 3.86it/s] 50%|█████ | 14/28 [00:03<00:03, 3.86it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.86it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.86it/s] 61%|██████ | 17/28 [00:04<00:02, 3.86it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.86it/s] 68%|██████▊ | 19/28 [00:04<00:02, 3.86it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.86it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.86it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.86it/s] 82%|████████▏ | 23/28 [00:05<00:01, 3.86it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.86it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.86it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.86it/s] 96%|█████████▋| 27/28 [00:06<00:00, 3.86it/s] 100%|██████████| 28/28 [00:07<00:00, 3.86it/s] 100%|██████████| 28/28 [00:07<00:00, 3.88it/s] Total safe images: 1 out of 1Prediction
danovate2/avatar_train_dan:3b370ef892f58c601086670dc43530cdc73bffdfb8fe751af87aaee7c28c93a2ID4f8yhg1rhdrmc0cq0bv9w0spb8StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- TOK_AVAT Daniel poses on a mountain summit at sunrise, wearing a lightweight technical jacket and hiking pants. Natural side-lighting from the rising sun creates dramatic shadows; a small reflector at waist-level fills shadows under his eyes. The panoramic Alpine range behind him is sharply rendered. Subtle details—dew on the jacket fabric and the rough rock surface—add authenticity.
- go_fast
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 1
- aspect_ratio
- 16:9
- output_format
- webp
- guidance_scale
- 3
- output_quality
- 80
- prompt_strength
- 0.9
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "TOK_AVAT Daniel poses on a mountain summit at sunrise, wearing a lightweight technical jacket and hiking pants. Natural side-lighting from the rising sun creates dramatic shadows; a small reflector at waist-level fills shadows under his eyes. The panoramic Alpine range behind him is sharply rendered. Subtle details—dew on the jacket fabric and the rough rock surface—add authenticity.", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "16:9", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.9, "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 danovate2/avatar_train_dan using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "danovate2/avatar_train_dan:3b370ef892f58c601086670dc43530cdc73bffdfb8fe751af87aaee7c28c93a2", { input: { model: "dev", prompt: "TOK_AVAT Daniel poses on a mountain summit at sunrise, wearing a lightweight technical jacket and hiking pants. Natural side-lighting from the rising sun creates dramatic shadows; a small reflector at waist-level fills shadows under his eyes. The panoramic Alpine range behind him is sharply rendered. Subtle details—dew on the jacket fabric and the rough rock surface—add authenticity.", go_fast: false, lora_scale: 1, megapixels: "1", num_outputs: 1, aspect_ratio: "16:9", output_format: "webp", guidance_scale: 3, output_quality: 80, prompt_strength: 0.9, 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 danovate2/avatar_train_dan using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "danovate2/avatar_train_dan:3b370ef892f58c601086670dc43530cdc73bffdfb8fe751af87aaee7c28c93a2", input={ "model": "dev", "prompt": "TOK_AVAT Daniel poses on a mountain summit at sunrise, wearing a lightweight technical jacket and hiking pants. Natural side-lighting from the rising sun creates dramatic shadows; a small reflector at waist-level fills shadows under his eyes. The panoramic Alpine range behind him is sharply rendered. Subtle details—dew on the jacket fabric and the rough rock surface—add authenticity.", "go_fast": False, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "16:9", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.9, "extra_lora_scale": 1, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run danovate2/avatar_train_dan 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": "danovate2/avatar_train_dan:3b370ef892f58c601086670dc43530cdc73bffdfb8fe751af87aaee7c28c93a2", "input": { "model": "dev", "prompt": "TOK_AVAT Daniel poses on a mountain summit at sunrise, wearing a lightweight technical jacket and hiking pants. Natural side-lighting from the rising sun creates dramatic shadows; a small reflector at waist-level fills shadows under his eyes. The panoramic Alpine range behind him is sharply rendered. Subtle details—dew on the jacket fabric and the rough rock surface—add authenticity.", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "16:9", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.9, "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": "2025-05-24T15:43:08.527681Z", "created_at": "2025-05-24T15:43:00.235000Z", "data_removed": false, "error": null, "id": "4f8yhg1rhdrmc0cq0bv9w0spb8", "input": { "model": "dev", "prompt": "TOK_AVAT Daniel poses on a mountain summit at sunrise, wearing a lightweight technical jacket and hiking pants. Natural side-lighting from the rising sun creates dramatic shadows; a small reflector at waist-level fills shadows under his eyes. The panoramic Alpine range behind him is sharply rendered. Subtle details—dew on the jacket fabric and the rough rock surface—add authenticity.", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "16:9", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.9, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "Loaded LoRAs in 0.56s\nUsing seed: 11416\nPrompt: TOK_AVAT Daniel poses on a mountain summit at sunrise, wearing a lightweight technical jacket and hiking pants. Natural side-lighting from the rising sun creates dramatic shadows; a small reflector at waist-level fills shadows under his eyes. The panoramic Alpine range behind him is sharply rendered. Subtle details—dew on the jacket fabric and the rough rock surface—add authenticity.\n[!] txt2img mode\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.85it/s]\n 7%|▋ | 2/28 [00:00<00:05, 4.35it/s]\n 11%|█ | 3/28 [00:00<00:06, 4.11it/s]\n 14%|█▍ | 4/28 [00:00<00:05, 4.01it/s]\n 18%|█▊ | 5/28 [00:01<00:05, 3.95it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.91it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.89it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.88it/s]\n 32%|███▏ | 9/28 [00:02<00:04, 3.87it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.86it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.86it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.86it/s]\n 46%|████▋ | 13/28 [00:03<00:03, 3.86it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.86it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 3.85it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.85it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.85it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.85it/s]\n 68%|██████▊ | 19/28 [00:04<00:02, 3.85it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.85it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.85it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.85it/s]\n 82%|████████▏ | 23/28 [00:05<00:01, 3.85it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.85it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.85it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.85it/s]\n 96%|█████████▋| 27/28 [00:06<00:00, 3.84it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.85it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.88it/s]\nTotal safe images: 1 out of 1", "metrics": { "predict_time": 8.061266816, "total_time": 8.292681 }, "output": [ "https://replicate.delivery/xezq/2VVmjjpTq5p5Ox9txkLoenBj5ARXkfHAPRzYYPovkx6Ms5vUA/out-0.webp" ], "started_at": "2025-05-24T15:43:00.466414Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-5axbvso4gwejn6tfua5kbskncq2aqmwrmdd5pyuykymqe2nfzi3a", "get": "https://api.replicate.com/v1/predictions/4f8yhg1rhdrmc0cq0bv9w0spb8", "cancel": "https://api.replicate.com/v1/predictions/4f8yhg1rhdrmc0cq0bv9w0spb8/cancel" }, "version": "3b370ef892f58c601086670dc43530cdc73bffdfb8fe751af87aaee7c28c93a2" }Generated inLoaded LoRAs in 0.56s Using seed: 11416 Prompt: TOK_AVAT Daniel poses on a mountain summit at sunrise, wearing a lightweight technical jacket and hiking pants. Natural side-lighting from the rising sun creates dramatic shadows; a small reflector at waist-level fills shadows under his eyes. The panoramic Alpine range behind him is sharply rendered. Subtle details—dew on the jacket fabric and the rough rock surface—add authenticity. [!] txt2img mode 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.85it/s] 7%|▋ | 2/28 [00:00<00:05, 4.35it/s] 11%|█ | 3/28 [00:00<00:06, 4.11it/s] 14%|█▍ | 4/28 [00:00<00:05, 4.01it/s] 18%|█▊ | 5/28 [00:01<00:05, 3.95it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.91it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.89it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.88it/s] 32%|███▏ | 9/28 [00:02<00:04, 3.87it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.86it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.86it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.86it/s] 46%|████▋ | 13/28 [00:03<00:03, 3.86it/s] 50%|█████ | 14/28 [00:03<00:03, 3.86it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.85it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.85it/s] 61%|██████ | 17/28 [00:04<00:02, 3.85it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.85it/s] 68%|██████▊ | 19/28 [00:04<00:02, 3.85it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.85it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.85it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.85it/s] 82%|████████▏ | 23/28 [00:05<00:01, 3.85it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.85it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.85it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.85it/s] 96%|█████████▋| 27/28 [00:06<00:00, 3.84it/s] 100%|██████████| 28/28 [00:07<00:00, 3.85it/s] 100%|██████████| 28/28 [00:07<00:00, 3.88it/s] Total safe images: 1 out of 1Prediction
danovate2/avatar_train_dan:3b370ef892f58c601086670dc43530cdc73bffdfb8fe751af87aaee7c28c93a2ID4f8yhg1rhdrmc0cq0bv9w0spb8StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- TOK_AVAT Daniel poses on a mountain summit at sunrise, wearing a lightweight technical jacket and hiking pants. Natural side-lighting from the rising sun creates dramatic shadows; a small reflector at waist-level fills shadows under his eyes. The panoramic Alpine range behind him is sharply rendered. Subtle details—dew on the jacket fabric and the rough rock surface—add authenticity.
- go_fast
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 1
- aspect_ratio
- 16:9
- output_format
- webp
- guidance_scale
- 3
- output_quality
- 80
- prompt_strength
- 0.9
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "TOK_AVAT Daniel poses on a mountain summit at sunrise, wearing a lightweight technical jacket and hiking pants. Natural side-lighting from the rising sun creates dramatic shadows; a small reflector at waist-level fills shadows under his eyes. The panoramic Alpine range behind him is sharply rendered. Subtle details—dew on the jacket fabric and the rough rock surface—add authenticity.", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "16:9", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.9, "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 danovate2/avatar_train_dan using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "danovate2/avatar_train_dan:3b370ef892f58c601086670dc43530cdc73bffdfb8fe751af87aaee7c28c93a2", { input: { model: "dev", prompt: "TOK_AVAT Daniel poses on a mountain summit at sunrise, wearing a lightweight technical jacket and hiking pants. Natural side-lighting from the rising sun creates dramatic shadows; a small reflector at waist-level fills shadows under his eyes. The panoramic Alpine range behind him is sharply rendered. Subtle details—dew on the jacket fabric and the rough rock surface—add authenticity.", go_fast: false, lora_scale: 1, megapixels: "1", num_outputs: 1, aspect_ratio: "16:9", output_format: "webp", guidance_scale: 3, output_quality: 80, prompt_strength: 0.9, 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 danovate2/avatar_train_dan using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "danovate2/avatar_train_dan:3b370ef892f58c601086670dc43530cdc73bffdfb8fe751af87aaee7c28c93a2", input={ "model": "dev", "prompt": "TOK_AVAT Daniel poses on a mountain summit at sunrise, wearing a lightweight technical jacket and hiking pants. Natural side-lighting from the rising sun creates dramatic shadows; a small reflector at waist-level fills shadows under his eyes. The panoramic Alpine range behind him is sharply rendered. Subtle details—dew on the jacket fabric and the rough rock surface—add authenticity.", "go_fast": False, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "16:9", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.9, "extra_lora_scale": 1, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run danovate2/avatar_train_dan 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": "danovate2/avatar_train_dan:3b370ef892f58c601086670dc43530cdc73bffdfb8fe751af87aaee7c28c93a2", "input": { "model": "dev", "prompt": "TOK_AVAT Daniel poses on a mountain summit at sunrise, wearing a lightweight technical jacket and hiking pants. Natural side-lighting from the rising sun creates dramatic shadows; a small reflector at waist-level fills shadows under his eyes. The panoramic Alpine range behind him is sharply rendered. Subtle details—dew on the jacket fabric and the rough rock surface—add authenticity.", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "16:9", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.9, "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": "2025-05-24T15:43:08.527681Z", "created_at": "2025-05-24T15:43:00.235000Z", "data_removed": false, "error": null, "id": "4f8yhg1rhdrmc0cq0bv9w0spb8", "input": { "model": "dev", "prompt": "TOK_AVAT Daniel poses on a mountain summit at sunrise, wearing a lightweight technical jacket and hiking pants. Natural side-lighting from the rising sun creates dramatic shadows; a small reflector at waist-level fills shadows under his eyes. The panoramic Alpine range behind him is sharply rendered. Subtle details—dew on the jacket fabric and the rough rock surface—add authenticity.", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 1, "aspect_ratio": "16:9", "output_format": "webp", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.9, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "Loaded LoRAs in 0.56s\nUsing seed: 11416\nPrompt: TOK_AVAT Daniel poses on a mountain summit at sunrise, wearing a lightweight technical jacket and hiking pants. Natural side-lighting from the rising sun creates dramatic shadows; a small reflector at waist-level fills shadows under his eyes. The panoramic Alpine range behind him is sharply rendered. Subtle details—dew on the jacket fabric and the rough rock surface—add authenticity.\n[!] txt2img mode\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:07, 3.85it/s]\n 7%|▋ | 2/28 [00:00<00:05, 4.35it/s]\n 11%|█ | 3/28 [00:00<00:06, 4.11it/s]\n 14%|█▍ | 4/28 [00:00<00:05, 4.01it/s]\n 18%|█▊ | 5/28 [00:01<00:05, 3.95it/s]\n 21%|██▏ | 6/28 [00:01<00:05, 3.91it/s]\n 25%|██▌ | 7/28 [00:01<00:05, 3.89it/s]\n 29%|██▊ | 8/28 [00:02<00:05, 3.88it/s]\n 32%|███▏ | 9/28 [00:02<00:04, 3.87it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 3.86it/s]\n 39%|███▉ | 11/28 [00:02<00:04, 3.86it/s]\n 43%|████▎ | 12/28 [00:03<00:04, 3.86it/s]\n 46%|████▋ | 13/28 [00:03<00:03, 3.86it/s]\n 50%|█████ | 14/28 [00:03<00:03, 3.86it/s]\n 54%|█████▎ | 15/28 [00:03<00:03, 3.85it/s]\n 57%|█████▋ | 16/28 [00:04<00:03, 3.85it/s]\n 61%|██████ | 17/28 [00:04<00:02, 3.85it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 3.85it/s]\n 68%|██████▊ | 19/28 [00:04<00:02, 3.85it/s]\n 71%|███████▏ | 20/28 [00:05<00:02, 3.85it/s]\n 75%|███████▌ | 21/28 [00:05<00:01, 3.85it/s]\n 79%|███████▊ | 22/28 [00:05<00:01, 3.85it/s]\n 82%|████████▏ | 23/28 [00:05<00:01, 3.85it/s]\n 86%|████████▌ | 24/28 [00:06<00:01, 3.85it/s]\n 89%|████████▉ | 25/28 [00:06<00:00, 3.85it/s]\n 93%|█████████▎| 26/28 [00:06<00:00, 3.85it/s]\n 96%|█████████▋| 27/28 [00:06<00:00, 3.84it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.85it/s]\n100%|██████████| 28/28 [00:07<00:00, 3.88it/s]\nTotal safe images: 1 out of 1", "metrics": { "predict_time": 8.061266816, "total_time": 8.292681 }, "output": [ "https://replicate.delivery/xezq/2VVmjjpTq5p5Ox9txkLoenBj5ARXkfHAPRzYYPovkx6Ms5vUA/out-0.webp" ], "started_at": "2025-05-24T15:43:00.466414Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-5axbvso4gwejn6tfua5kbskncq2aqmwrmdd5pyuykymqe2nfzi3a", "get": "https://api.replicate.com/v1/predictions/4f8yhg1rhdrmc0cq0bv9w0spb8", "cancel": "https://api.replicate.com/v1/predictions/4f8yhg1rhdrmc0cq0bv9w0spb8/cancel" }, "version": "3b370ef892f58c601086670dc43530cdc73bffdfb8fe751af87aaee7c28c93a2" }Generated inLoaded LoRAs in 0.56s Using seed: 11416 Prompt: TOK_AVAT Daniel poses on a mountain summit at sunrise, wearing a lightweight technical jacket and hiking pants. Natural side-lighting from the rising sun creates dramatic shadows; a small reflector at waist-level fills shadows under his eyes. The panoramic Alpine range behind him is sharply rendered. Subtle details—dew on the jacket fabric and the rough rock surface—add authenticity. [!] txt2img mode 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:07, 3.85it/s] 7%|▋ | 2/28 [00:00<00:05, 4.35it/s] 11%|█ | 3/28 [00:00<00:06, 4.11it/s] 14%|█▍ | 4/28 [00:00<00:05, 4.01it/s] 18%|█▊ | 5/28 [00:01<00:05, 3.95it/s] 21%|██▏ | 6/28 [00:01<00:05, 3.91it/s] 25%|██▌ | 7/28 [00:01<00:05, 3.89it/s] 29%|██▊ | 8/28 [00:02<00:05, 3.88it/s] 32%|███▏ | 9/28 [00:02<00:04, 3.87it/s] 36%|███▌ | 10/28 [00:02<00:04, 3.86it/s] 39%|███▉ | 11/28 [00:02<00:04, 3.86it/s] 43%|████▎ | 12/28 [00:03<00:04, 3.86it/s] 46%|████▋ | 13/28 [00:03<00:03, 3.86it/s] 50%|█████ | 14/28 [00:03<00:03, 3.86it/s] 54%|█████▎ | 15/28 [00:03<00:03, 3.85it/s] 57%|█████▋ | 16/28 [00:04<00:03, 3.85it/s] 61%|██████ | 17/28 [00:04<00:02, 3.85it/s] 64%|██████▍ | 18/28 [00:04<00:02, 3.85it/s] 68%|██████▊ | 19/28 [00:04<00:02, 3.85it/s] 71%|███████▏ | 20/28 [00:05<00:02, 3.85it/s] 75%|███████▌ | 21/28 [00:05<00:01, 3.85it/s] 79%|███████▊ | 22/28 [00:05<00:01, 3.85it/s] 82%|████████▏ | 23/28 [00:05<00:01, 3.85it/s] 86%|████████▌ | 24/28 [00:06<00:01, 3.85it/s] 89%|████████▉ | 25/28 [00:06<00:00, 3.85it/s] 93%|█████████▎| 26/28 [00:06<00:00, 3.85it/s] 96%|█████████▋| 27/28 [00:06<00:00, 3.84it/s] 100%|██████████| 28/28 [00:07<00:00, 3.85it/s] 100%|██████████| 28/28 [00:07<00:00, 3.88it/s] Total safe images: 1 out of 1Prediction
danovate2/avatar_train_dan:3b370ef892f58c601086670dc43530cdc73bffdfb8fe751af87aaee7c28c93a2IDw015nj7xm1rma0cq8fa9478mamStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- TOK_AVAT the bald Daniel sits at a rustic wooden desk in his home office, wearing a light blue Oxford shirt with rolled-up sleeves. A Neewer softbox camera-left provides key light; a desk lamp behind casts warm fill. On the desk: a laptop displaying code, a mechanical keyboard, and a steaming mug. Floor-to-ceiling shelves of books are softly blurred behind him. Subtle wrinkles in his shirt and the grain of the wood surface lend a lived-in feel.
- go_fast
- lora_scale
- 0.68
- megapixels
- 1
- num_outputs
- 2
- aspect_ratio
- 1:1
- output_format
- webp
- guidance_scale
- 0.19
- output_quality
- 80
- prompt_strength
- 0.85
- extra_lora_scale
- 0.92
- num_inference_steps
- 28
{ "model": "dev", "prompt": "TOK_AVAT the bald Daniel sits at a rustic wooden desk in his home office, wearing a light blue Oxford shirt with rolled-up sleeves. A Neewer softbox camera-left provides key light; a desk lamp behind casts warm fill. On the desk: a laptop displaying code, a mechanical keyboard, and a steaming mug. Floor-to-ceiling shelves of books are softly blurred behind him. Subtle wrinkles in his shirt and the grain of the wood surface lend a lived-in feel.", "go_fast": false, "lora_scale": 0.68, "megapixels": "1", "num_outputs": 2, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 0.19, "output_quality": 80, "prompt_strength": 0.85, "extra_lora_scale": 0.92, "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 danovate2/avatar_train_dan using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "danovate2/avatar_train_dan:3b370ef892f58c601086670dc43530cdc73bffdfb8fe751af87aaee7c28c93a2", { input: { model: "dev", prompt: "TOK_AVAT the bald Daniel sits at a rustic wooden desk in his home office, wearing a light blue Oxford shirt with rolled-up sleeves. A Neewer softbox camera-left provides key light; a desk lamp behind casts warm fill. On the desk: a laptop displaying code, a mechanical keyboard, and a steaming mug. Floor-to-ceiling shelves of books are softly blurred behind him. Subtle wrinkles in his shirt and the grain of the wood surface lend a lived-in feel.", go_fast: false, lora_scale: 0.68, megapixels: "1", num_outputs: 2, aspect_ratio: "1:1", output_format: "webp", guidance_scale: 0.19, output_quality: 80, prompt_strength: 0.85, extra_lora_scale: 0.92, 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 danovate2/avatar_train_dan using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "danovate2/avatar_train_dan:3b370ef892f58c601086670dc43530cdc73bffdfb8fe751af87aaee7c28c93a2", input={ "model": "dev", "prompt": "TOK_AVAT the bald Daniel sits at a rustic wooden desk in his home office, wearing a light blue Oxford shirt with rolled-up sleeves. A Neewer softbox camera-left provides key light; a desk lamp behind casts warm fill. On the desk: a laptop displaying code, a mechanical keyboard, and a steaming mug. Floor-to-ceiling shelves of books are softly blurred behind him. Subtle wrinkles in his shirt and the grain of the wood surface lend a lived-in feel.", "go_fast": False, "lora_scale": 0.68, "megapixels": "1", "num_outputs": 2, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 0.19, "output_quality": 80, "prompt_strength": 0.85, "extra_lora_scale": 0.92, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run danovate2/avatar_train_dan 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": "danovate2/avatar_train_dan:3b370ef892f58c601086670dc43530cdc73bffdfb8fe751af87aaee7c28c93a2", "input": { "model": "dev", "prompt": "TOK_AVAT the bald Daniel sits at a rustic wooden desk in his home office, wearing a light blue Oxford shirt with rolled-up sleeves. A Neewer softbox camera-left provides key light; a desk lamp behind casts warm fill. On the desk: a laptop displaying code, a mechanical keyboard, and a steaming mug. Floor-to-ceiling shelves of books are softly blurred behind him. Subtle wrinkles in his shirt and the grain of the wood surface lend a lived-in feel.", "go_fast": false, "lora_scale": 0.68, "megapixels": "1", "num_outputs": 2, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 0.19, "output_quality": 80, "prompt_strength": 0.85, "extra_lora_scale": 0.92, "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": "2025-06-06T06:02:17.303296Z", "created_at": "2025-06-06T06:02:01.504000Z", "data_removed": false, "error": null, "id": "w015nj7xm1rma0cq8fa9478mam", "input": { "model": "dev", "prompt": "TOK_AVAT the bald Daniel sits at a rustic wooden desk in his home office, wearing a light blue Oxford shirt with rolled-up sleeves. A Neewer softbox camera-left provides key light; a desk lamp behind casts warm fill. On the desk: a laptop displaying code, a mechanical keyboard, and a steaming mug. Floor-to-ceiling shelves of books are softly blurred behind him. Subtle wrinkles in his shirt and the grain of the wood surface lend a lived-in feel.", "go_fast": false, "lora_scale": 0.68, "megapixels": "1", "num_outputs": 2, "aspect_ratio": "1:1", "output_format": "webp", "guidance_scale": 0.19, "output_quality": 80, "prompt_strength": 0.85, "extra_lora_scale": 0.92, "num_inference_steps": 28 }, "logs": "free=26227475095552\nDownloading weights\n2025-06-06T06:02:02Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpglkq2bl4/weights url=https://replicate.delivery/xezq/iNBeiJSwFYRIRakDATvz0UQDg5D2IG5jN1GPLIXgJkgEc8XKA/trained_model.tar\n2025-06-06T06:02:02Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local\n2025-06-06T06:02:02Z | INFO | [ Cache URL Rewrite ] enabled=true target_url=http://hermes.services.svc.cluster.local/replicate.delivery/xezq/iNBeiJSwFYRIRakDATvz0UQDg5D2IG5jN1GPLIXgJkgEc8XKA/trained_model.tar url=https://replicate.delivery/xezq/iNBeiJSwFYRIRakDATvz0UQDg5D2IG5jN1GPLIXgJkgEc8XKA/trained_model.tar\n2025-06-06T06:02:02Z | INFO | [ Redirect ] redirect_url=http://r8-east4-loras-ric1.cwlota.com/d901e33a102d612eb675df870f558f07aafbd81b72cb71074989f8c32da93015?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Checksum-Mode=ENABLED&X-Amz-Credential=CWNZUVKLDHXVHEZN%2F20250606%2FUS-EAST-04A%2Fs3%2Faws4_request&X-Amz-Date=20250606T060202Z&X-Amz-Expires=600&X-Amz-SignedHeaders=host&x-id=GetObject&X-Amz-Signature=232931c174a0f50e5176a0909850fa8cf9befb6e9c74fce9090a16108f5e296e url=http://hermes.services.svc.cluster.local/replicate.delivery/xezq/iNBeiJSwFYRIRakDATvz0UQDg5D2IG5jN1GPLIXgJkgEc8XKA/trained_model.tar\n2025-06-06T06:02:02Z | INFO | [ Complete ] dest=/tmp/tmpglkq2bl4/weights size=\"172 MB\" total_elapsed=0.244s url=https://replicate.delivery/xezq/iNBeiJSwFYRIRakDATvz0UQDg5D2IG5jN1GPLIXgJkgEc8XKA/trained_model.tar\nDownloaded weights in 0.30s\nLoaded LoRAs in 0.88s\nUsing seed: 24821\nPrompt: TOK_AVAT the bald Daniel sits at a rustic wooden desk in his home office, wearing a light blue Oxford shirt with rolled-up sleeves. A Neewer softbox camera-left provides key light; a desk lamp behind casts warm fill. On the desk: a laptop displaying code, a mechanical keyboard, and a steaming mug. Floor-to-ceiling shelves of books are softly blurred behind him. Subtle wrinkles in his shirt and the grain of the wood surface lend a lived-in feel.\n[!] txt2img mode\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:13, 1.98it/s]\n 7%|▋ | 2/28 [00:00<00:11, 2.21it/s]\n 11%|█ | 3/28 [00:01<00:11, 2.11it/s]\n 14%|█▍ | 4/28 [00:01<00:11, 2.06it/s]\n 18%|█▊ | 5/28 [00:02<00:11, 2.04it/s]\n 21%|██▏ | 6/28 [00:02<00:10, 2.02it/s]\n 25%|██▌ | 7/28 [00:03<00:10, 2.01it/s]\n 29%|██▊ | 8/28 [00:03<00:09, 2.01it/s]\n 32%|███▏ | 9/28 [00:04<00:09, 2.00it/s]\n 36%|███▌ | 10/28 [00:04<00:09, 2.00it/s]\n 39%|███▉ | 11/28 [00:05<00:08, 2.00it/s]\n 43%|████▎ | 12/28 [00:05<00:08, 1.99it/s]\n 46%|████▋ | 13/28 [00:06<00:07, 1.99it/s]\n 50%|█████ | 14/28 [00:06<00:07, 1.99it/s]\n 54%|█████▎ | 15/28 [00:07<00:06, 1.99it/s]\n 57%|█████▋ | 16/28 [00:07<00:06, 1.99it/s]\n 61%|██████ | 17/28 [00:08<00:05, 1.99it/s]\n 64%|██████▍ | 18/28 [00:08<00:05, 1.99it/s]\n 68%|██████▊ | 19/28 [00:09<00:04, 1.99it/s]\n 71%|███████▏ | 20/28 [00:09<00:04, 2.00it/s]\n 75%|███████▌ | 21/28 [00:10<00:03, 2.00it/s]\n 79%|███████▊ | 22/28 [00:10<00:03, 1.99it/s]\n 82%|████████▏ | 23/28 [00:11<00:02, 2.00it/s]\n 86%|████████▌ | 24/28 [00:11<00:02, 1.99it/s]\n 89%|████████▉ | 25/28 [00:12<00:01, 1.99it/s]\n 93%|█████████▎| 26/28 [00:12<00:01, 1.99it/s]\n 96%|█████████▋| 27/28 [00:13<00:00, 1.99it/s]\n100%|██████████| 28/28 [00:13<00:00, 1.99it/s]\n100%|██████████| 28/28 [00:13<00:00, 2.01it/s]\nTotal safe images: 2 out of 2", "metrics": { "predict_time": 15.370558823, "total_time": 15.799296 }, "output": [ "https://replicate.delivery/xezq/zz1Hxfyowx1qfkUxiHYNq4r6BfDNZNMrU74B3IClWclTzGopA/out-0.webp", "https://replicate.delivery/xezq/088CHoDabQ4YPFW31lRJbBJR1lQMGVlJ4tphQrYmlHVa2ANF/out-1.webp" ], "started_at": "2025-06-06T06:02:01.932737Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-f3jgfajj6wzqcapfdixnufmihpjlhbwlafo4sskcqte4mnfocdsq", "get": "https://api.replicate.com/v1/predictions/w015nj7xm1rma0cq8fa9478mam", "cancel": "https://api.replicate.com/v1/predictions/w015nj7xm1rma0cq8fa9478mam/cancel" }, "version": "3b370ef892f58c601086670dc43530cdc73bffdfb8fe751af87aaee7c28c93a2" }Generated infree=26227475095552 Downloading weights 2025-06-06T06:02:02Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpglkq2bl4/weights url=https://replicate.delivery/xezq/iNBeiJSwFYRIRakDATvz0UQDg5D2IG5jN1GPLIXgJkgEc8XKA/trained_model.tar 2025-06-06T06:02:02Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local 2025-06-06T06:02:02Z | INFO | [ Cache URL Rewrite ] enabled=true target_url=http://hermes.services.svc.cluster.local/replicate.delivery/xezq/iNBeiJSwFYRIRakDATvz0UQDg5D2IG5jN1GPLIXgJkgEc8XKA/trained_model.tar url=https://replicate.delivery/xezq/iNBeiJSwFYRIRakDATvz0UQDg5D2IG5jN1GPLIXgJkgEc8XKA/trained_model.tar 2025-06-06T06:02:02Z | INFO | [ Redirect ] redirect_url=http://r8-east4-loras-ric1.cwlota.com/d901e33a102d612eb675df870f558f07aafbd81b72cb71074989f8c32da93015?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Checksum-Mode=ENABLED&X-Amz-Credential=CWNZUVKLDHXVHEZN%2F20250606%2FUS-EAST-04A%2Fs3%2Faws4_request&X-Amz-Date=20250606T060202Z&X-Amz-Expires=600&X-Amz-SignedHeaders=host&x-id=GetObject&X-Amz-Signature=232931c174a0f50e5176a0909850fa8cf9befb6e9c74fce9090a16108f5e296e url=http://hermes.services.svc.cluster.local/replicate.delivery/xezq/iNBeiJSwFYRIRakDATvz0UQDg5D2IG5jN1GPLIXgJkgEc8XKA/trained_model.tar 2025-06-06T06:02:02Z | INFO | [ Complete ] dest=/tmp/tmpglkq2bl4/weights size="172 MB" total_elapsed=0.244s url=https://replicate.delivery/xezq/iNBeiJSwFYRIRakDATvz0UQDg5D2IG5jN1GPLIXgJkgEc8XKA/trained_model.tar Downloaded weights in 0.30s Loaded LoRAs in 0.88s Using seed: 24821 Prompt: TOK_AVAT the bald Daniel sits at a rustic wooden desk in his home office, wearing a light blue Oxford shirt with rolled-up sleeves. A Neewer softbox camera-left provides key light; a desk lamp behind casts warm fill. On the desk: a laptop displaying code, a mechanical keyboard, and a steaming mug. Floor-to-ceiling shelves of books are softly blurred behind him. Subtle wrinkles in his shirt and the grain of the wood surface lend a lived-in feel. [!] txt2img mode 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:13, 1.98it/s] 7%|▋ | 2/28 [00:00<00:11, 2.21it/s] 11%|█ | 3/28 [00:01<00:11, 2.11it/s] 14%|█▍ | 4/28 [00:01<00:11, 2.06it/s] 18%|█▊ | 5/28 [00:02<00:11, 2.04it/s] 21%|██▏ | 6/28 [00:02<00:10, 2.02it/s] 25%|██▌ | 7/28 [00:03<00:10, 2.01it/s] 29%|██▊ | 8/28 [00:03<00:09, 2.01it/s] 32%|███▏ | 9/28 [00:04<00:09, 2.00it/s] 36%|███▌ | 10/28 [00:04<00:09, 2.00it/s] 39%|███▉ | 11/28 [00:05<00:08, 2.00it/s] 43%|████▎ | 12/28 [00:05<00:08, 1.99it/s] 46%|████▋ | 13/28 [00:06<00:07, 1.99it/s] 50%|█████ | 14/28 [00:06<00:07, 1.99it/s] 54%|█████▎ | 15/28 [00:07<00:06, 1.99it/s] 57%|█████▋ | 16/28 [00:07<00:06, 1.99it/s] 61%|██████ | 17/28 [00:08<00:05, 1.99it/s] 64%|██████▍ | 18/28 [00:08<00:05, 1.99it/s] 68%|██████▊ | 19/28 [00:09<00:04, 1.99it/s] 71%|███████▏ | 20/28 [00:09<00:04, 2.00it/s] 75%|███████▌ | 21/28 [00:10<00:03, 2.00it/s] 79%|███████▊ | 22/28 [00:10<00:03, 1.99it/s] 82%|████████▏ | 23/28 [00:11<00:02, 2.00it/s] 86%|████████▌ | 24/28 [00:11<00:02, 1.99it/s] 89%|████████▉ | 25/28 [00:12<00:01, 1.99it/s] 93%|█████████▎| 26/28 [00:12<00:01, 1.99it/s] 96%|█████████▋| 27/28 [00:13<00:00, 1.99it/s] 100%|██████████| 28/28 [00:13<00:00, 1.99it/s] 100%|██████████| 28/28 [00:13<00:00, 2.01it/s] Total safe images: 2 out of 2Prediction
danovate2/avatar_train_dan:3b370ef892f58c601086670dc43530cdc73bffdfb8fe751af87aaee7c28c93a2IDjdvdrkf5bsrm80cq8fc9p9kyj4StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- TOK_AVAT the bald Daniel sits at a rustic wooden desk in his home office, wearing a light blue Oxford shirt with rolled-up sleeves. A Neewer softbox camera-left provides key light; a desk lamp behind casts warm fill. On the desk: a laptop displaying code, a mechanical keyboard, and a steaming mug. Floor-to-ceiling shelves of books are softly blurred behind him. Subtle wrinkles in his shirt and the grain of the wood surface lend a lived-in feel.
- go_fast
- lora_scale
- 0.68
- megapixels
- 1
- num_outputs
- 2
- aspect_ratio
- 1:1
- output_format
- jpg
- guidance_scale
- 0.19
- output_quality
- 80
- prompt_strength
- 0.85
- extra_lora_scale
- 0.92
- num_inference_steps
- 28
{ "model": "dev", "prompt": "TOK_AVAT the bald Daniel sits at a rustic wooden desk in his home office, wearing a light blue Oxford shirt with rolled-up sleeves. A Neewer softbox camera-left provides key light; a desk lamp behind casts warm fill. On the desk: a laptop displaying code, a mechanical keyboard, and a steaming mug. Floor-to-ceiling shelves of books are softly blurred behind him. Subtle wrinkles in his shirt and the grain of the wood surface lend a lived-in feel.", "go_fast": false, "lora_scale": 0.68, "megapixels": "1", "num_outputs": 2, "aspect_ratio": "1:1", "output_format": "jpg", "guidance_scale": 0.19, "output_quality": 80, "prompt_strength": 0.85, "extra_lora_scale": 0.92, "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 danovate2/avatar_train_dan using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "danovate2/avatar_train_dan:3b370ef892f58c601086670dc43530cdc73bffdfb8fe751af87aaee7c28c93a2", { input: { model: "dev", prompt: "TOK_AVAT the bald Daniel sits at a rustic wooden desk in his home office, wearing a light blue Oxford shirt with rolled-up sleeves. A Neewer softbox camera-left provides key light; a desk lamp behind casts warm fill. On the desk: a laptop displaying code, a mechanical keyboard, and a steaming mug. Floor-to-ceiling shelves of books are softly blurred behind him. Subtle wrinkles in his shirt and the grain of the wood surface lend a lived-in feel.", go_fast: false, lora_scale: 0.68, megapixels: "1", num_outputs: 2, aspect_ratio: "1:1", output_format: "jpg", guidance_scale: 0.19, output_quality: 80, prompt_strength: 0.85, extra_lora_scale: 0.92, 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 danovate2/avatar_train_dan using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "danovate2/avatar_train_dan:3b370ef892f58c601086670dc43530cdc73bffdfb8fe751af87aaee7c28c93a2", input={ "model": "dev", "prompt": "TOK_AVAT the bald Daniel sits at a rustic wooden desk in his home office, wearing a light blue Oxford shirt with rolled-up sleeves. A Neewer softbox camera-left provides key light; a desk lamp behind casts warm fill. On the desk: a laptop displaying code, a mechanical keyboard, and a steaming mug. Floor-to-ceiling shelves of books are softly blurred behind him. Subtle wrinkles in his shirt and the grain of the wood surface lend a lived-in feel.", "go_fast": False, "lora_scale": 0.68, "megapixels": "1", "num_outputs": 2, "aspect_ratio": "1:1", "output_format": "jpg", "guidance_scale": 0.19, "output_quality": 80, "prompt_strength": 0.85, "extra_lora_scale": 0.92, "num_inference_steps": 28 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run danovate2/avatar_train_dan 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": "danovate2/avatar_train_dan:3b370ef892f58c601086670dc43530cdc73bffdfb8fe751af87aaee7c28c93a2", "input": { "model": "dev", "prompt": "TOK_AVAT the bald Daniel sits at a rustic wooden desk in his home office, wearing a light blue Oxford shirt with rolled-up sleeves. A Neewer softbox camera-left provides key light; a desk lamp behind casts warm fill. On the desk: a laptop displaying code, a mechanical keyboard, and a steaming mug. Floor-to-ceiling shelves of books are softly blurred behind him. Subtle wrinkles in his shirt and the grain of the wood surface lend a lived-in feel.", "go_fast": false, "lora_scale": 0.68, "megapixels": "1", "num_outputs": 2, "aspect_ratio": "1:1", "output_format": "jpg", "guidance_scale": 0.19, "output_quality": 80, "prompt_strength": 0.85, "extra_lora_scale": 0.92, "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": "2025-06-06T06:06:32.249440Z", "created_at": "2025-06-06T06:06:17.438000Z", "data_removed": false, "error": null, "id": "jdvdrkf5bsrm80cq8fc9p9kyj4", "input": { "model": "dev", "prompt": "TOK_AVAT the bald Daniel sits at a rustic wooden desk in his home office, wearing a light blue Oxford shirt with rolled-up sleeves. A Neewer softbox camera-left provides key light; a desk lamp behind casts warm fill. On the desk: a laptop displaying code, a mechanical keyboard, and a steaming mug. Floor-to-ceiling shelves of books are softly blurred behind him. Subtle wrinkles in his shirt and the grain of the wood surface lend a lived-in feel.", "go_fast": false, "lora_scale": 0.68, "megapixels": "1", "num_outputs": 2, "aspect_ratio": "1:1", "output_format": "jpg", "guidance_scale": 0.19, "output_quality": 80, "prompt_strength": 0.85, "extra_lora_scale": 0.92, "num_inference_steps": 28 }, "logs": "Loaded LoRAs in 0.55s\nUsing seed: 10924\nPrompt: TOK_AVAT the bald Daniel sits at a rustic wooden desk in his home office, wearing a light blue Oxford shirt with rolled-up sleeves. A Neewer softbox camera-left provides key light; a desk lamp behind casts warm fill. On the desk: a laptop displaying code, a mechanical keyboard, and a steaming mug. Floor-to-ceiling shelves of books are softly blurred behind him. Subtle wrinkles in his shirt and the grain of the wood surface lend a lived-in feel.\n[!] txt2img mode\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:13, 1.99it/s]\n 7%|▋ | 2/28 [00:00<00:11, 2.23it/s]\n 11%|█ | 3/28 [00:01<00:11, 2.13it/s]\n 14%|█▍ | 4/28 [00:01<00:11, 2.09it/s]\n 18%|█▊ | 5/28 [00:02<00:11, 2.06it/s]\n 21%|██▏ | 6/28 [00:02<00:10, 2.05it/s]\n 25%|██▌ | 7/28 [00:03<00:10, 2.04it/s]\n 29%|██▊ | 8/28 [00:03<00:09, 2.03it/s]\n 32%|███▏ | 9/28 [00:04<00:09, 2.03it/s]\n 36%|███▌ | 10/28 [00:04<00:08, 2.03it/s]\n 39%|███▉ | 11/28 [00:05<00:08, 2.03it/s]\n 43%|████▎ | 12/28 [00:05<00:07, 2.02it/s]\n 46%|████▋ | 13/28 [00:06<00:07, 2.02it/s]\n 50%|█████ | 14/28 [00:06<00:06, 2.02it/s]\n 54%|█████▎ | 15/28 [00:07<00:06, 2.02it/s]\n 57%|█████▋ | 16/28 [00:07<00:05, 2.02it/s]\n 61%|██████ | 17/28 [00:08<00:05, 2.02it/s]\n 64%|██████▍ | 18/28 [00:08<00:04, 2.02it/s]\n 68%|██████▊ | 19/28 [00:09<00:04, 2.02it/s]\n 71%|███████▏ | 20/28 [00:09<00:03, 2.02it/s]\n 75%|███████▌ | 21/28 [00:10<00:03, 2.02it/s]\n 79%|███████▊ | 22/28 [00:10<00:02, 2.02it/s]\n 82%|████████▏ | 23/28 [00:11<00:02, 2.02it/s]\n 86%|████████▌ | 24/28 [00:11<00:01, 2.02it/s]\n 89%|████████▉ | 25/28 [00:12<00:01, 2.02it/s]\n 93%|█████████▎| 26/28 [00:12<00:00, 2.02it/s]\n 96%|█████████▋| 27/28 [00:13<00:00, 2.02it/s]\n100%|██████████| 28/28 [00:13<00:00, 2.02it/s]\n100%|██████████| 28/28 [00:13<00:00, 2.03it/s]\nTotal safe images: 2 out of 2", "metrics": { "predict_time": 14.73404229, "total_time": 14.81144 }, "output": [ "https://replicate.delivery/xezq/q7PdAR3sfS3NPqMbh0Spz5UeUeQsimRELDo38NZ1nDlQ7GopA/out-0.jpg", "https://replicate.delivery/xezq/kNIYdi9eHfrxKEe4M505umJtcCT9nO2Vna25rjC1xq7Q7GopA/out-1.jpg" ], "started_at": "2025-06-06T06:06:17.515398Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-dygdud6ahp23zsmmaca76ftt4uhqyhsp7fyuyjy5k4v3p26nxr2q", "get": "https://api.replicate.com/v1/predictions/jdvdrkf5bsrm80cq8fc9p9kyj4", "cancel": "https://api.replicate.com/v1/predictions/jdvdrkf5bsrm80cq8fc9p9kyj4/cancel" }, "version": "3b370ef892f58c601086670dc43530cdc73bffdfb8fe751af87aaee7c28c93a2" }Generated inLoaded LoRAs in 0.55s Using seed: 10924 Prompt: TOK_AVAT the bald Daniel sits at a rustic wooden desk in his home office, wearing a light blue Oxford shirt with rolled-up sleeves. A Neewer softbox camera-left provides key light; a desk lamp behind casts warm fill. On the desk: a laptop displaying code, a mechanical keyboard, and a steaming mug. Floor-to-ceiling shelves of books are softly blurred behind him. Subtle wrinkles in his shirt and the grain of the wood surface lend a lived-in feel. [!] txt2img mode 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:13, 1.99it/s] 7%|▋ | 2/28 [00:00<00:11, 2.23it/s] 11%|█ | 3/28 [00:01<00:11, 2.13it/s] 14%|█▍ | 4/28 [00:01<00:11, 2.09it/s] 18%|█▊ | 5/28 [00:02<00:11, 2.06it/s] 21%|██▏ | 6/28 [00:02<00:10, 2.05it/s] 25%|██▌ | 7/28 [00:03<00:10, 2.04it/s] 29%|██▊ | 8/28 [00:03<00:09, 2.03it/s] 32%|███▏ | 9/28 [00:04<00:09, 2.03it/s] 36%|███▌ | 10/28 [00:04<00:08, 2.03it/s] 39%|███▉ | 11/28 [00:05<00:08, 2.03it/s] 43%|████▎ | 12/28 [00:05<00:07, 2.02it/s] 46%|████▋ | 13/28 [00:06<00:07, 2.02it/s] 50%|█████ | 14/28 [00:06<00:06, 2.02it/s] 54%|█████▎ | 15/28 [00:07<00:06, 2.02it/s] 57%|█████▋ | 16/28 [00:07<00:05, 2.02it/s] 61%|██████ | 17/28 [00:08<00:05, 2.02it/s] 64%|██████▍ | 18/28 [00:08<00:04, 2.02it/s] 68%|██████▊ | 19/28 [00:09<00:04, 2.02it/s] 71%|███████▏ | 20/28 [00:09<00:03, 2.02it/s] 75%|███████▌ | 21/28 [00:10<00:03, 2.02it/s] 79%|███████▊ | 22/28 [00:10<00:02, 2.02it/s] 82%|████████▏ | 23/28 [00:11<00:02, 2.02it/s] 86%|████████▌ | 24/28 [00:11<00:01, 2.02it/s] 89%|████████▉ | 25/28 [00:12<00:01, 2.02it/s] 93%|█████████▎| 26/28 [00:12<00:00, 2.02it/s] 96%|█████████▋| 27/28 [00:13<00:00, 2.02it/s] 100%|██████████| 28/28 [00:13<00:00, 2.02it/s] 100%|██████████| 28/28 [00:13<00:00, 2.03it/s] Total safe images: 2 out of 2
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