drrhinoai / bruce-lora
A replicant of me
- Public
- 72 runs
-
H100
Prediction
drrhinoai/bruce-lora:2f0b4599d01740a37fe1e140fd9580aaf6fc52f15713265b0e1607e7e62eb37aID2ea9eznt65rmc0cm6b2bx4ggncStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- a professional headshot of BRUCEP, shot in a luxurious office setting. BRUCEP is bald, 6'3", 265 pounds and muscular, not fat. His smile is warm, inviting, and professional. He is a psychologist and hypnotherapist, and his presence invites trust and instant comfort. He is wearing a black button down shirt and tailored grey suit jacket. His skin has a slight tropical tan from a recent vacation.
- go_fast
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 4
- aspect_ratio
- 16:9
- output_format
- png
- guidance_scale
- 3
- output_quality
- 80
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "a professional headshot of BRUCEP, shot in a luxurious office setting. BRUCEP is bald, 6'3\", 265 pounds and muscular, not fat. His smile is warm, inviting, and professional. He is a psychologist and hypnotherapist, and his presence invites trust and instant comfort. He is wearing a black button down shirt and tailored grey suit jacket. His skin has a slight tropical tan from a recent vacation.", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "16:9", "output_format": "png", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run drrhinoai/bruce-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "drrhinoai/bruce-lora:2f0b4599d01740a37fe1e140fd9580aaf6fc52f15713265b0e1607e7e62eb37a", { input: { model: "dev", prompt: "a professional headshot of BRUCEP, shot in a luxurious office setting. BRUCEP is bald, 6'3\", 265 pounds and muscular, not fat. His smile is warm, inviting, and professional. He is a psychologist and hypnotherapist, and his presence invites trust and instant comfort. He is wearing a black button down shirt and tailored grey suit jacket. His skin has a slight tropical tan from a recent vacation.", go_fast: false, lora_scale: 1, megapixels: "1", num_outputs: 4, aspect_ratio: "16:9", output_format: "png", guidance_scale: 3, output_quality: 80, prompt_strength: 0.8, extra_lora_scale: 1, num_inference_steps: 28 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);
To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicate
Import the client:import replicate
Run drrhinoai/bruce-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "drrhinoai/bruce-lora:2f0b4599d01740a37fe1e140fd9580aaf6fc52f15713265b0e1607e7e62eb37a", input={ "model": "dev", "prompt": "a professional headshot of BRUCEP, shot in a luxurious office setting. BRUCEP is bald, 6'3\", 265 pounds and muscular, not fat. His smile is warm, inviting, and professional. He is a psychologist and hypnotherapist, and his presence invites trust and instant comfort. He is wearing a black button down shirt and tailored grey suit jacket. His skin has a slight tropical tan from a recent vacation.", "go_fast": False, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "16:9", "output_format": "png", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.8, "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 drrhinoai/bruce-lora 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": "drrhinoai/bruce-lora:2f0b4599d01740a37fe1e140fd9580aaf6fc52f15713265b0e1607e7e62eb37a", "input": { "model": "dev", "prompt": "a professional headshot of BRUCEP, shot in a luxurious office setting. BRUCEP is bald, 6\'3\\", 265 pounds and muscular, not fat. His smile is warm, inviting, and professional. He is a psychologist and hypnotherapist, and his presence invites trust and instant comfort. He is wearing a black button down shirt and tailored grey suit jacket. His skin has a slight tropical tan from a recent vacation.", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "16:9", "output_format": "png", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-01-04T19:22:52.961528Z", "created_at": "2025-01-04T19:22:21.105000Z", "data_removed": false, "error": null, "id": "2ea9eznt65rmc0cm6b2bx4ggnc", "input": { "model": "dev", "prompt": "a professional headshot of BRUCEP, shot in a luxurious office setting. BRUCEP is bald, 6'3\", 265 pounds and muscular, not fat. His smile is warm, inviting, and professional. He is a psychologist and hypnotherapist, and his presence invites trust and instant comfort. He is wearing a black button down shirt and tailored grey suit jacket. His skin has a slight tropical tan from a recent vacation.", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "16:9", "output_format": "png", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "2025-01-04 19:22:21.182 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2025-01-04 19:22:21.183 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 92%|█████████▏| 279/304 [00:00<00:00, 2785.12it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2648.96it/s]\n2025-01-04 19:22:21.298 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.12s\nfree=29445669695488\nDownloading weights\n2025-01-04T19:22:21Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmphtu5ov8c/weights url=https://replicate.delivery/xezq/9MjtfhdE9c1zHCYLVAo1idJLuhNXCBPC51TJ65xLNB0zrmfTA/trained_model.tar\n2025-01-04T19:22:24Z | INFO | [ Complete ] dest=/tmp/tmphtu5ov8c/weights size=\"172 MB\" total_elapsed=3.533s url=https://replicate.delivery/xezq/9MjtfhdE9c1zHCYLVAo1idJLuhNXCBPC51TJ65xLNB0zrmfTA/trained_model.tar\nDownloaded weights in 3.56s\n2025-01-04 19:22:24.855 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/30b9c699f50e80a4\n2025-01-04 19:22:24.923 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded\n2025-01-04 19:22:24.923 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2025-01-04 19:22:24.924 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 92%|█████████▏| 280/304 [00:00<00:00, 2772.83it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2664.91it/s]\n2025-01-04 19:22:25.038 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.18s\nUsing seed: 26260\n0it [00:00, ?it/s]\n1it [00:00, 8.43it/s]\n2it [00:00, 5.88it/s]\n3it [00:00, 5.38it/s]\n4it [00:00, 5.17it/s]\n5it [00:00, 5.02it/s]\n6it [00:01, 4.93it/s]\n7it [00:01, 4.90it/s]\n8it [00:01, 4.88it/s]\n9it [00:01, 4.87it/s]\n10it [00:01, 4.85it/s]\n11it [00:02, 4.83it/s]\n12it [00:02, 4.82it/s]\n13it [00:02, 4.83it/s]\n14it [00:02, 4.83it/s]\n15it [00:03, 4.81it/s]\n16it [00:03, 4.82it/s]\n17it [00:03, 4.81it/s]\n18it [00:03, 4.82it/s]\n19it [00:03, 4.83it/s]\n20it [00:04, 4.83it/s]\n21it [00:04, 4.83it/s]\n22it [00:04, 4.82it/s]\n23it [00:04, 4.82it/s]\n24it [00:04, 4.82it/s]\n25it [00:05, 4.83it/s]\n26it [00:05, 4.82it/s]\n27it [00:05, 4.82it/s]\n28it [00:05, 4.82it/s]\n28it [00:05, 4.90it/s]\n0it [00:00, ?it/s]\n1it [00:00, 4.83it/s]\n2it [00:00, 4.83it/s]\n3it [00:00, 4.83it/s]\n4it [00:00, 4.83it/s]\n5it [00:01, 4.82it/s]\n6it [00:01, 4.82it/s]\n7it [00:01, 4.82it/s]\n8it [00:01, 4.83it/s]\n9it [00:01, 4.82it/s]\n10it [00:02, 4.81it/s]\n11it [00:02, 4.81it/s]\n12it [00:02, 4.82it/s]\n13it [00:02, 4.82it/s]\n14it [00:02, 4.81it/s]\n15it [00:03, 4.81it/s]\n16it [00:03, 4.81it/s]\n17it [00:03, 4.80it/s]\n18it [00:03, 4.81it/s]\n19it [00:03, 4.81it/s]\n20it [00:04, 4.81it/s]\n21it [00:04, 4.81it/s]\n22it [00:04, 4.81it/s]\n23it [00:04, 4.82it/s]\n24it [00:04, 4.81it/s]\n25it [00:05, 4.81it/s]\n26it [00:05, 4.81it/s]\n27it [00:05, 4.81it/s]\n28it [00:05, 4.81it/s]\n28it [00:05, 4.81it/s]\n0it [00:00, ?it/s]\n1it [00:00, 4.85it/s]\n2it [00:00, 4.83it/s]\n3it [00:00, 4.81it/s]\n4it [00:00, 4.81it/s]\n5it [00:01, 4.80it/s]\n6it [00:01, 4.80it/s]\n7it [00:01, 4.81it/s]\n8it [00:01, 4.81it/s]\n9it [00:01, 4.81it/s]\n10it [00:02, 4.81it/s]\n11it [00:02, 4.80it/s]\n12it [00:02, 4.81it/s]\n13it [00:02, 4.80it/s]\n14it [00:02, 4.80it/s]\n15it [00:03, 4.80it/s]\n16it [00:03, 4.80it/s]\n17it [00:03, 4.79it/s]\n18it [00:03, 4.79it/s]\n19it [00:03, 4.79it/s]\n20it [00:04, 4.79it/s]\n21it [00:04, 4.79it/s]\n22it [00:04, 4.79it/s]\n23it [00:04, 4.79it/s]\n24it [00:04, 4.79it/s]\n25it [00:05, 4.80it/s]\n26it [00:05, 4.79it/s]\n27it [00:05, 4.79it/s]\n28it [00:05, 4.80it/s]\n28it [00:05, 4.80it/s]\n0it [00:00, ?it/s]\n1it [00:00, 4.84it/s]\n2it [00:00, 4.82it/s]\n3it [00:00, 4.81it/s]\n4it [00:00, 4.80it/s]\n5it [00:01, 4.80it/s]\n6it [00:01, 4.80it/s]\n7it [00:01, 4.80it/s]\n8it [00:01, 4.80it/s]\n9it [00:01, 4.79it/s]\n10it [00:02, 4.80it/s]\n11it [00:02, 4.80it/s]\n12it [00:02, 4.80it/s]\n13it [00:02, 4.80it/s]\n14it [00:02, 4.80it/s]\n15it [00:03, 4.80it/s]\n16it [00:03, 4.80it/s]\n17it [00:03, 4.81it/s]\n18it [00:03, 4.80it/s]\n19it [00:03, 4.81it/s]\n20it [00:04, 4.81it/s]\n21it [00:04, 4.81it/s]\n22it [00:04, 4.81it/s]\n23it [00:04, 4.81it/s]\n24it [00:04, 4.80it/s]\n25it [00:05, 4.80it/s]\n26it [00:05, 4.80it/s]\n27it [00:05, 4.79it/s]\n28it [00:05, 4.79it/s]\n28it [00:05, 4.80it/s]\nTotal safe images: 4 out of 4", "metrics": { "predict_time": 31.778601221, "total_time": 31.856528 }, "output": [ "https://replicate.delivery/xezq/7xYVO6ytnBYjD5Lz49pqeep8hN7xwJISb78WuV0vXg5MyzBUA/out-0.png", "https://replicate.delivery/xezq/MEjCPfimCZSFC6xemfBdfnHmcewY1Yp9OYD9zhldxUPiRecAF/out-1.png", "https://replicate.delivery/xezq/O3lXidrwdhJaJ9zlvwFT9Cre0P6H5AL4YiUSmvAR5jcG55AKA/out-2.png", "https://replicate.delivery/xezq/Ujq8F6VQgoqGKBMEEnyqXSVm9fcpHLnU7szNoOLsxBbG55AKA/out-3.png" ], "started_at": "2025-01-04T19:22:21.182927Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-bk7anyargact43knnznws5vimmjqhfc2eb6b4g3dgxtu75snnd2a", "get": "https://api.replicate.com/v1/predictions/2ea9eznt65rmc0cm6b2bx4ggnc", "cancel": "https://api.replicate.com/v1/predictions/2ea9eznt65rmc0cm6b2bx4ggnc/cancel" }, "version": "2f0b4599d01740a37fe1e140fd9580aaf6fc52f15713265b0e1607e7e62eb37a" }
Generated in2025-01-04 19:22:21.182 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2025-01-04 19:22:21.183 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 92%|█████████▏| 279/304 [00:00<00:00, 2785.12it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2648.96it/s] 2025-01-04 19:22:21.298 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.12s free=29445669695488 Downloading weights 2025-01-04T19:22:21Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmphtu5ov8c/weights url=https://replicate.delivery/xezq/9MjtfhdE9c1zHCYLVAo1idJLuhNXCBPC51TJ65xLNB0zrmfTA/trained_model.tar 2025-01-04T19:22:24Z | INFO | [ Complete ] dest=/tmp/tmphtu5ov8c/weights size="172 MB" total_elapsed=3.533s url=https://replicate.delivery/xezq/9MjtfhdE9c1zHCYLVAo1idJLuhNXCBPC51TJ65xLNB0zrmfTA/trained_model.tar Downloaded weights in 3.56s 2025-01-04 19:22:24.855 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/30b9c699f50e80a4 2025-01-04 19:22:24.923 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded 2025-01-04 19:22:24.923 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2025-01-04 19:22:24.924 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 92%|█████████▏| 280/304 [00:00<00:00, 2772.83it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2664.91it/s] 2025-01-04 19:22:25.038 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.18s Using seed: 26260 0it [00:00, ?it/s] 1it [00:00, 8.43it/s] 2it [00:00, 5.88it/s] 3it [00:00, 5.38it/s] 4it [00:00, 5.17it/s] 5it [00:00, 5.02it/s] 6it [00:01, 4.93it/s] 7it [00:01, 4.90it/s] 8it [00:01, 4.88it/s] 9it [00:01, 4.87it/s] 10it [00:01, 4.85it/s] 11it [00:02, 4.83it/s] 12it [00:02, 4.82it/s] 13it [00:02, 4.83it/s] 14it [00:02, 4.83it/s] 15it [00:03, 4.81it/s] 16it [00:03, 4.82it/s] 17it [00:03, 4.81it/s] 18it [00:03, 4.82it/s] 19it [00:03, 4.83it/s] 20it [00:04, 4.83it/s] 21it [00:04, 4.83it/s] 22it [00:04, 4.82it/s] 23it [00:04, 4.82it/s] 24it [00:04, 4.82it/s] 25it [00:05, 4.83it/s] 26it [00:05, 4.82it/s] 27it [00:05, 4.82it/s] 28it [00:05, 4.82it/s] 28it [00:05, 4.90it/s] 0it [00:00, ?it/s] 1it [00:00, 4.83it/s] 2it [00:00, 4.83it/s] 3it [00:00, 4.83it/s] 4it [00:00, 4.83it/s] 5it [00:01, 4.82it/s] 6it [00:01, 4.82it/s] 7it [00:01, 4.82it/s] 8it [00:01, 4.83it/s] 9it [00:01, 4.82it/s] 10it [00:02, 4.81it/s] 11it [00:02, 4.81it/s] 12it [00:02, 4.82it/s] 13it [00:02, 4.82it/s] 14it [00:02, 4.81it/s] 15it [00:03, 4.81it/s] 16it [00:03, 4.81it/s] 17it [00:03, 4.80it/s] 18it [00:03, 4.81it/s] 19it [00:03, 4.81it/s] 20it [00:04, 4.81it/s] 21it [00:04, 4.81it/s] 22it [00:04, 4.81it/s] 23it [00:04, 4.82it/s] 24it [00:04, 4.81it/s] 25it [00:05, 4.81it/s] 26it [00:05, 4.81it/s] 27it [00:05, 4.81it/s] 28it [00:05, 4.81it/s] 28it [00:05, 4.81it/s] 0it [00:00, ?it/s] 1it [00:00, 4.85it/s] 2it [00:00, 4.83it/s] 3it [00:00, 4.81it/s] 4it [00:00, 4.81it/s] 5it [00:01, 4.80it/s] 6it [00:01, 4.80it/s] 7it [00:01, 4.81it/s] 8it [00:01, 4.81it/s] 9it [00:01, 4.81it/s] 10it [00:02, 4.81it/s] 11it [00:02, 4.80it/s] 12it [00:02, 4.81it/s] 13it [00:02, 4.80it/s] 14it [00:02, 4.80it/s] 15it [00:03, 4.80it/s] 16it [00:03, 4.80it/s] 17it [00:03, 4.79it/s] 18it [00:03, 4.79it/s] 19it [00:03, 4.79it/s] 20it [00:04, 4.79it/s] 21it [00:04, 4.79it/s] 22it [00:04, 4.79it/s] 23it [00:04, 4.79it/s] 24it [00:04, 4.79it/s] 25it [00:05, 4.80it/s] 26it [00:05, 4.79it/s] 27it [00:05, 4.79it/s] 28it [00:05, 4.80it/s] 28it [00:05, 4.80it/s] 0it [00:00, ?it/s] 1it [00:00, 4.84it/s] 2it [00:00, 4.82it/s] 3it [00:00, 4.81it/s] 4it [00:00, 4.80it/s] 5it [00:01, 4.80it/s] 6it [00:01, 4.80it/s] 7it [00:01, 4.80it/s] 8it [00:01, 4.80it/s] 9it [00:01, 4.79it/s] 10it [00:02, 4.80it/s] 11it [00:02, 4.80it/s] 12it [00:02, 4.80it/s] 13it [00:02, 4.80it/s] 14it [00:02, 4.80it/s] 15it [00:03, 4.80it/s] 16it [00:03, 4.80it/s] 17it [00:03, 4.81it/s] 18it [00:03, 4.80it/s] 19it [00:03, 4.81it/s] 20it [00:04, 4.81it/s] 21it [00:04, 4.81it/s] 22it [00:04, 4.81it/s] 23it [00:04, 4.81it/s] 24it [00:04, 4.80it/s] 25it [00:05, 4.80it/s] 26it [00:05, 4.80it/s] 27it [00:05, 4.79it/s] 28it [00:05, 4.79it/s] 28it [00:05, 4.80it/s] Total safe images: 4 out of 4
Prediction
drrhinoai/bruce-lora:2f0b4599d01740a37fe1e140fd9580aaf6fc52f15713265b0e1607e7e62eb37aIDckc62qnyjhrme0cm6b4918cwhmStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- a professional headshot of BRUCEP, shot in a luxurious office setting. BRUCEP is bald, 6'3", 265 pounds and muscular, not fat. His smile is warm, inviting, and professional. He is a psychologist and hypnotherapist, and his presence invites trust and instant comfort. He is wearing a button-down shirt and tailored suit jacket. His skin has a slight tropical tan from a recent vacation.
- go_fast
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 4
- aspect_ratio
- 1:1
- output_format
- png
- guidance_scale
- 3
- output_quality
- 80
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "a professional headshot of BRUCEP, shot in a luxurious office setting. BRUCEP is bald, 6'3\", 265 pounds and muscular, not fat. His smile is warm, inviting, and professional. He is a psychologist and hypnotherapist, and his presence invites trust and instant comfort. He is wearing a button-down shirt and tailored suit jacket. His skin has a slight tropical tan from a recent vacation.", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run drrhinoai/bruce-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "drrhinoai/bruce-lora:2f0b4599d01740a37fe1e140fd9580aaf6fc52f15713265b0e1607e7e62eb37a", { input: { model: "dev", prompt: "a professional headshot of BRUCEP, shot in a luxurious office setting. BRUCEP is bald, 6'3\", 265 pounds and muscular, not fat. His smile is warm, inviting, and professional. He is a psychologist and hypnotherapist, and his presence invites trust and instant comfort. He is wearing a button-down shirt and tailored suit jacket. His skin has a slight tropical tan from a recent vacation.", go_fast: false, lora_scale: 1, megapixels: "1", num_outputs: 4, aspect_ratio: "1:1", output_format: "png", guidance_scale: 3, output_quality: 80, prompt_strength: 0.8, extra_lora_scale: 1, num_inference_steps: 28 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);
To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicate
Import the client:import replicate
Run drrhinoai/bruce-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "drrhinoai/bruce-lora:2f0b4599d01740a37fe1e140fd9580aaf6fc52f15713265b0e1607e7e62eb37a", input={ "model": "dev", "prompt": "a professional headshot of BRUCEP, shot in a luxurious office setting. BRUCEP is bald, 6'3\", 265 pounds and muscular, not fat. His smile is warm, inviting, and professional. He is a psychologist and hypnotherapist, and his presence invites trust and instant comfort. He is wearing a button-down shirt and tailored suit jacket. His skin has a slight tropical tan from a recent vacation.", "go_fast": False, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.8, "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 drrhinoai/bruce-lora 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": "drrhinoai/bruce-lora:2f0b4599d01740a37fe1e140fd9580aaf6fc52f15713265b0e1607e7e62eb37a", "input": { "model": "dev", "prompt": "a professional headshot of BRUCEP, shot in a luxurious office setting. BRUCEP is bald, 6\'3\\", 265 pounds and muscular, not fat. His smile is warm, inviting, and professional. He is a psychologist and hypnotherapist, and his presence invites trust and instant comfort. He is wearing a button-down shirt and tailored suit jacket. His skin has a slight tropical tan from a recent vacation.", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-01-04T19:27:13.247863Z", "created_at": "2025-01-04T19:26:44.372000Z", "data_removed": false, "error": null, "id": "ckc62qnyjhrme0cm6b4918cwhm", "input": { "model": "dev", "prompt": "a professional headshot of BRUCEP, shot in a luxurious office setting. BRUCEP is bald, 6'3\", 265 pounds and muscular, not fat. His smile is warm, inviting, and professional. He is a psychologist and hypnotherapist, and his presence invites trust and instant comfort. He is wearing a button-down shirt and tailored suit jacket. His skin has a slight tropical tan from a recent vacation.", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "2025-01-04 19:26:44.397 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2025-01-04 19:26:44.398 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 89%|████████▉ | 272/304 [00:00<00:00, 2715.52it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2652.95it/s]\n2025-01-04 19:26:44.513 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.12s\nfree=29479932686336\nDownloading weights\n2025-01-04T19:26:44Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp7tix7ztj/weights url=https://replicate.delivery/xezq/9MjtfhdE9c1zHCYLVAo1idJLuhNXCBPC51TJ65xLNB0zrmfTA/trained_model.tar\n2025-01-04T19:26:47Z | INFO | [ Complete ] dest=/tmp/tmp7tix7ztj/weights size=\"172 MB\" total_elapsed=3.263s url=https://replicate.delivery/xezq/9MjtfhdE9c1zHCYLVAo1idJLuhNXCBPC51TJ65xLNB0zrmfTA/trained_model.tar\nDownloaded weights in 3.29s\n2025-01-04 19:26:47.804 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/30b9c699f50e80a4\n2025-01-04 19:26:47.877 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded\n2025-01-04 19:26:47.878 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2025-01-04 19:26:47.878 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 90%|████████▉ | 273/304 [00:00<00:00, 2719.23it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2658.18it/s]\n2025-01-04 19:26:47.993 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.19s\nUsing seed: 35703\n0it [00:00, ?it/s]\n1it [00:00, 8.37it/s]\n2it [00:00, 5.85it/s]\n3it [00:00, 5.33it/s]\n4it [00:00, 5.12it/s]\n5it [00:00, 4.98it/s]\n6it [00:01, 4.91it/s]\n7it [00:01, 4.88it/s]\n8it [00:01, 4.86it/s]\n9it [00:01, 4.84it/s]\n10it [00:01, 4.81it/s]\n11it [00:02, 4.80it/s]\n12it [00:02, 4.80it/s]\n13it [00:02, 4.81it/s]\n14it [00:02, 4.81it/s]\n15it [00:03, 4.81it/s]\n16it [00:03, 4.81it/s]\n17it [00:03, 4.80it/s]\n18it [00:03, 4.81it/s]\n19it [00:03, 4.80it/s]\n20it [00:04, 4.80it/s]\n21it [00:04, 4.80it/s]\n22it [00:04, 4.80it/s]\n23it [00:04, 4.81it/s]\n24it [00:04, 4.81it/s]\n25it [00:05, 4.79it/s]\n26it [00:05, 4.79it/s]\n27it [00:05, 4.79it/s]\n28it [00:05, 4.80it/s]\n28it [00:05, 4.87it/s]\n0it [00:00, ?it/s]\n1it [00:00, 4.80it/s]\n2it [00:00, 4.78it/s]\n3it [00:00, 4.78it/s]\n4it [00:00, 4.78it/s]\n5it [00:01, 4.78it/s]\n6it [00:01, 4.77it/s]\n7it [00:01, 4.78it/s]\n8it [00:01, 4.78it/s]\n9it [00:01, 4.79it/s]\n10it [00:02, 4.79it/s]\n11it [00:02, 4.79it/s]\n12it [00:02, 4.79it/s]\n13it [00:02, 4.79it/s]\n14it [00:02, 4.79it/s]\n15it [00:03, 4.80it/s]\n16it [00:03, 4.80it/s]\n17it [00:03, 4.79it/s]\n18it [00:03, 4.78it/s]\n19it [00:03, 4.79it/s]\n20it [00:04, 4.79it/s]\n21it [00:04, 4.79it/s]\n22it [00:04, 4.78it/s]\n23it [00:04, 4.78it/s]\n24it [00:05, 4.78it/s]\n25it [00:05, 4.78it/s]\n26it [00:05, 4.78it/s]\n27it [00:05, 4.77it/s]\n28it [00:05, 4.77it/s]\n28it [00:05, 4.78it/s]\n0it [00:00, ?it/s]\n1it [00:00, 4.81it/s]\n2it [00:00, 4.79it/s]\n3it [00:00, 4.79it/s]\n4it [00:00, 4.77it/s]\n5it [00:01, 4.77it/s]\n6it [00:01, 4.78it/s]\n7it [00:01, 4.79it/s]\n8it [00:01, 4.79it/s]\n9it [00:01, 4.77it/s]\n10it [00:02, 4.77it/s]\n11it [00:02, 4.77it/s]\n12it [00:02, 4.78it/s]\n13it [00:02, 4.78it/s]\n14it [00:02, 4.78it/s]\n15it [00:03, 4.77it/s]\n16it [00:03, 4.76it/s]\n17it [00:03, 4.77it/s]\n18it [00:03, 4.77it/s]\n19it [00:03, 4.78it/s]\n20it [00:04, 4.78it/s]\n21it [00:04, 4.78it/s]\n22it [00:04, 4.78it/s]\n23it [00:04, 4.78it/s]\n24it [00:05, 4.78it/s]\n25it [00:05, 4.78it/s]\n26it [00:05, 4.78it/s]\n27it [00:05, 4.78it/s]\n28it [00:05, 4.77it/s]\n28it [00:05, 4.78it/s]\n0it [00:00, ?it/s]\n1it [00:00, 4.81it/s]\n2it [00:00, 4.80it/s]\n3it [00:00, 4.79it/s]\n4it [00:00, 4.78it/s]\n5it [00:01, 4.77it/s]\n6it [00:01, 4.77it/s]\n7it [00:01, 4.79it/s]\n8it [00:01, 4.79it/s]\n9it [00:01, 4.79it/s]\n10it [00:02, 4.79it/s]\n11it [00:02, 4.78it/s]\n12it [00:02, 4.77it/s]\n13it [00:02, 4.78it/s]\n14it [00:02, 4.77it/s]\n15it [00:03, 4.77it/s]\n16it [00:03, 4.77it/s]\n17it [00:03, 4.77it/s]\n18it [00:03, 4.78it/s]\n19it [00:03, 4.78it/s]\n20it [00:04, 4.78it/s]\n21it [00:04, 4.77it/s]\n22it [00:04, 4.77it/s]\n23it [00:04, 4.77it/s]\n24it [00:05, 4.77it/s]\n25it [00:05, 4.77it/s]\n26it [00:05, 4.78it/s]\n27it [00:05, 4.78it/s]\n28it [00:05, 4.77it/s]\n28it [00:05, 4.78it/s]\nTotal safe images: 4 out of 4", "metrics": { "predict_time": 28.849243961, "total_time": 28.875863 }, "output": [ "https://replicate.delivery/xezq/3qoEswppiloRBdqn6mUjaTjDL0WNtW1BbWuElH4dlDfI75AKA/out-0.png", "https://replicate.delivery/xezq/DWYCHcu4vfyxbqmQpcDl29a4eS4dloleqb0G8hd6akZjsnDoA/out-1.png", "https://replicate.delivery/xezq/sR3yzfs48DVIZiIi0Zk45L2IDxuzfMkof46MOkkyk5wisnDoA/out-2.png", "https://replicate.delivery/xezq/cGYeW7ZkervMPk0dBznESHZoxeMXgwO5hA2AFCBEN70jsnDoA/out-3.png" ], "started_at": "2025-01-04T19:26:44.398620Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-pstewh6fjb4kxrol6esjoyaws3o7e4qpc2neky2qfgyf4ftcu4fq", "get": "https://api.replicate.com/v1/predictions/ckc62qnyjhrme0cm6b4918cwhm", "cancel": "https://api.replicate.com/v1/predictions/ckc62qnyjhrme0cm6b4918cwhm/cancel" }, "version": "2f0b4599d01740a37fe1e140fd9580aaf6fc52f15713265b0e1607e7e62eb37a" }
Generated in2025-01-04 19:26:44.397 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2025-01-04 19:26:44.398 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 89%|████████▉ | 272/304 [00:00<00:00, 2715.52it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2652.95it/s] 2025-01-04 19:26:44.513 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.12s free=29479932686336 Downloading weights 2025-01-04T19:26:44Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp7tix7ztj/weights url=https://replicate.delivery/xezq/9MjtfhdE9c1zHCYLVAo1idJLuhNXCBPC51TJ65xLNB0zrmfTA/trained_model.tar 2025-01-04T19:26:47Z | INFO | [ Complete ] dest=/tmp/tmp7tix7ztj/weights size="172 MB" total_elapsed=3.263s url=https://replicate.delivery/xezq/9MjtfhdE9c1zHCYLVAo1idJLuhNXCBPC51TJ65xLNB0zrmfTA/trained_model.tar Downloaded weights in 3.29s 2025-01-04 19:26:47.804 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/30b9c699f50e80a4 2025-01-04 19:26:47.877 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded 2025-01-04 19:26:47.878 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2025-01-04 19:26:47.878 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 90%|████████▉ | 273/304 [00:00<00:00, 2719.23it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2658.18it/s] 2025-01-04 19:26:47.993 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.19s Using seed: 35703 0it [00:00, ?it/s] 1it [00:00, 8.37it/s] 2it [00:00, 5.85it/s] 3it [00:00, 5.33it/s] 4it [00:00, 5.12it/s] 5it [00:00, 4.98it/s] 6it [00:01, 4.91it/s] 7it [00:01, 4.88it/s] 8it [00:01, 4.86it/s] 9it [00:01, 4.84it/s] 10it [00:01, 4.81it/s] 11it [00:02, 4.80it/s] 12it [00:02, 4.80it/s] 13it [00:02, 4.81it/s] 14it [00:02, 4.81it/s] 15it [00:03, 4.81it/s] 16it [00:03, 4.81it/s] 17it [00:03, 4.80it/s] 18it [00:03, 4.81it/s] 19it [00:03, 4.80it/s] 20it [00:04, 4.80it/s] 21it [00:04, 4.80it/s] 22it [00:04, 4.80it/s] 23it [00:04, 4.81it/s] 24it [00:04, 4.81it/s] 25it [00:05, 4.79it/s] 26it [00:05, 4.79it/s] 27it [00:05, 4.79it/s] 28it [00:05, 4.80it/s] 28it [00:05, 4.87it/s] 0it [00:00, ?it/s] 1it [00:00, 4.80it/s] 2it [00:00, 4.78it/s] 3it [00:00, 4.78it/s] 4it [00:00, 4.78it/s] 5it [00:01, 4.78it/s] 6it [00:01, 4.77it/s] 7it [00:01, 4.78it/s] 8it [00:01, 4.78it/s] 9it [00:01, 4.79it/s] 10it [00:02, 4.79it/s] 11it [00:02, 4.79it/s] 12it [00:02, 4.79it/s] 13it [00:02, 4.79it/s] 14it [00:02, 4.79it/s] 15it [00:03, 4.80it/s] 16it [00:03, 4.80it/s] 17it [00:03, 4.79it/s] 18it [00:03, 4.78it/s] 19it [00:03, 4.79it/s] 20it [00:04, 4.79it/s] 21it [00:04, 4.79it/s] 22it [00:04, 4.78it/s] 23it [00:04, 4.78it/s] 24it [00:05, 4.78it/s] 25it [00:05, 4.78it/s] 26it [00:05, 4.78it/s] 27it [00:05, 4.77it/s] 28it [00:05, 4.77it/s] 28it [00:05, 4.78it/s] 0it [00:00, ?it/s] 1it [00:00, 4.81it/s] 2it [00:00, 4.79it/s] 3it [00:00, 4.79it/s] 4it [00:00, 4.77it/s] 5it [00:01, 4.77it/s] 6it [00:01, 4.78it/s] 7it [00:01, 4.79it/s] 8it [00:01, 4.79it/s] 9it [00:01, 4.77it/s] 10it [00:02, 4.77it/s] 11it [00:02, 4.77it/s] 12it [00:02, 4.78it/s] 13it [00:02, 4.78it/s] 14it [00:02, 4.78it/s] 15it [00:03, 4.77it/s] 16it [00:03, 4.76it/s] 17it [00:03, 4.77it/s] 18it [00:03, 4.77it/s] 19it [00:03, 4.78it/s] 20it [00:04, 4.78it/s] 21it [00:04, 4.78it/s] 22it [00:04, 4.78it/s] 23it [00:04, 4.78it/s] 24it [00:05, 4.78it/s] 25it [00:05, 4.78it/s] 26it [00:05, 4.78it/s] 27it [00:05, 4.78it/s] 28it [00:05, 4.77it/s] 28it [00:05, 4.78it/s] 0it [00:00, ?it/s] 1it [00:00, 4.81it/s] 2it [00:00, 4.80it/s] 3it [00:00, 4.79it/s] 4it [00:00, 4.78it/s] 5it [00:01, 4.77it/s] 6it [00:01, 4.77it/s] 7it [00:01, 4.79it/s] 8it [00:01, 4.79it/s] 9it [00:01, 4.79it/s] 10it [00:02, 4.79it/s] 11it [00:02, 4.78it/s] 12it [00:02, 4.77it/s] 13it [00:02, 4.78it/s] 14it [00:02, 4.77it/s] 15it [00:03, 4.77it/s] 16it [00:03, 4.77it/s] 17it [00:03, 4.77it/s] 18it [00:03, 4.78it/s] 19it [00:03, 4.78it/s] 20it [00:04, 4.78it/s] 21it [00:04, 4.77it/s] 22it [00:04, 4.77it/s] 23it [00:04, 4.77it/s] 24it [00:05, 4.77it/s] 25it [00:05, 4.77it/s] 26it [00:05, 4.78it/s] 27it [00:05, 4.78it/s] 28it [00:05, 4.77it/s] 28it [00:05, 4.78it/s] Total safe images: 4 out of 4
Prediction
drrhinoai/bruce-lora:2f0b4599d01740a37fe1e140fd9580aaf6fc52f15713265b0e1607e7e62eb37aID0bent7q6qnrm80cm6b6rv80gg8StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- a professional headshot of BRUCEP, shot in a luxurious office setting. BRUCEP is bald, 6'3", 265 pounds and muscular, not fat. His smile is warm, inviting, and professional. He is a psychologist and hypnotherapist, and his presence invites trust and instant comfort. He is wearing a tailored button-down shirt that compliments his well-muscled chest, shoulders, and arms. His skin has a slight tropical tan from a recent vacation.
- go_fast
- lora_scale
- 1
- megapixels
- 1
- num_outputs
- 4
- aspect_ratio
- 1:1
- output_format
- png
- guidance_scale
- 3
- output_quality
- 80
- prompt_strength
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "a professional headshot of BRUCEP, shot in a luxurious office setting. BRUCEP is bald, 6'3\", 265 pounds and muscular, not fat. His smile is warm, inviting, and professional. He is a psychologist and hypnotherapist, and his presence invites trust and instant comfort. He is wearing a tailored button-down shirt that compliments his well-muscled chest, shoulders, and arms. His skin has a slight tropical tan from a recent vacation.", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run drrhinoai/bruce-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "drrhinoai/bruce-lora:2f0b4599d01740a37fe1e140fd9580aaf6fc52f15713265b0e1607e7e62eb37a", { input: { model: "dev", prompt: "a professional headshot of BRUCEP, shot in a luxurious office setting. BRUCEP is bald, 6'3\", 265 pounds and muscular, not fat. His smile is warm, inviting, and professional. He is a psychologist and hypnotherapist, and his presence invites trust and instant comfort. He is wearing a tailored button-down shirt that compliments his well-muscled chest, shoulders, and arms. His skin has a slight tropical tan from a recent vacation.", go_fast: false, lora_scale: 1, megapixels: "1", num_outputs: 4, aspect_ratio: "1:1", output_format: "png", guidance_scale: 3, output_quality: 80, prompt_strength: 0.8, extra_lora_scale: 1, num_inference_steps: 28 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);
To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicate
Import the client:import replicate
Run drrhinoai/bruce-lora using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "drrhinoai/bruce-lora:2f0b4599d01740a37fe1e140fd9580aaf6fc52f15713265b0e1607e7e62eb37a", input={ "model": "dev", "prompt": "a professional headshot of BRUCEP, shot in a luxurious office setting. BRUCEP is bald, 6'3\", 265 pounds and muscular, not fat. His smile is warm, inviting, and professional. He is a psychologist and hypnotherapist, and his presence invites trust and instant comfort. He is wearing a tailored button-down shirt that compliments his well-muscled chest, shoulders, and arms. His skin has a slight tropical tan from a recent vacation.", "go_fast": False, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.8, "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 drrhinoai/bruce-lora 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": "drrhinoai/bruce-lora:2f0b4599d01740a37fe1e140fd9580aaf6fc52f15713265b0e1607e7e62eb37a", "input": { "model": "dev", "prompt": "a professional headshot of BRUCEP, shot in a luxurious office setting. BRUCEP is bald, 6\'3\\", 265 pounds and muscular, not fat. His smile is warm, inviting, and professional. He is a psychologist and hypnotherapist, and his presence invites trust and instant comfort. He is wearing a tailored button-down shirt that compliments his well-muscled chest, shoulders, and arms. His skin has a slight tropical tan from a recent vacation.", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2025-01-04T19:32:57.657025Z", "created_at": "2025-01-04T19:32:22.333000Z", "data_removed": false, "error": null, "id": "0bent7q6qnrm80cm6b6rv80gg8", "input": { "model": "dev", "prompt": "a professional headshot of BRUCEP, shot in a luxurious office setting. BRUCEP is bald, 6'3\", 265 pounds and muscular, not fat. His smile is warm, inviting, and professional. He is a psychologist and hypnotherapist, and his presence invites trust and instant comfort. He is wearing a tailored button-down shirt that compliments his well-muscled chest, shoulders, and arms. His skin has a slight tropical tan from a recent vacation.", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3, "output_quality": 80, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "2025-01-04 19:32:29.288 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2025-01-04 19:32:29.288 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 90%|█████████ | 274/304 [00:00<00:00, 2736.25it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2647.35it/s]\n2025-01-04 19:32:29.403 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.12s\nfree=29370900414464\nDownloading weights\n2025-01-04T19:32:29Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpfcz42qcy/weights url=https://replicate.delivery/xezq/9MjtfhdE9c1zHCYLVAo1idJLuhNXCBPC51TJ65xLNB0zrmfTA/trained_model.tar\n2025-01-04T19:32:32Z | INFO | [ Complete ] dest=/tmp/tmpfcz42qcy/weights size=\"172 MB\" total_elapsed=2.834s url=https://replicate.delivery/xezq/9MjtfhdE9c1zHCYLVAo1idJLuhNXCBPC51TJ65xLNB0zrmfTA/trained_model.tar\nDownloaded weights in 2.86s\n2025-01-04 19:32:32.263 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/30b9c699f50e80a4\n2025-01-04 19:32:32.334 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded\n2025-01-04 19:32:32.335 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys\n2025-01-04 19:32:32.335 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted\nApplying LoRA: 0%| | 0/304 [00:00<?, ?it/s]\nApplying LoRA: 90%|█████████ | 275/304 [00:00<00:00, 2749.43it/s]\nApplying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2653.58it/s]\n2025-01-04 19:32:32.450 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.19s\nUsing seed: 49202\n0it [00:00, ?it/s]\n1it [00:00, 8.36it/s]\n2it [00:00, 5.86it/s]\n3it [00:00, 5.33it/s]\n4it [00:00, 5.12it/s]\n5it [00:00, 4.99it/s]\n6it [00:01, 4.90it/s]\n7it [00:01, 4.86it/s]\n8it [00:01, 4.86it/s]\n9it [00:01, 4.84it/s]\n10it [00:01, 4.82it/s]\n11it [00:02, 4.80it/s]\n12it [00:02, 4.79it/s]\n13it [00:02, 4.80it/s]\n14it [00:02, 4.81it/s]\n15it [00:03, 4.80it/s]\n16it [00:03, 4.80it/s]\n17it [00:03, 4.80it/s]\n18it [00:03, 4.80it/s]\n19it [00:03, 4.81it/s]\n20it [00:04, 4.80it/s]\n21it [00:04, 4.80it/s]\n22it [00:04, 4.79it/s]\n23it [00:04, 4.79it/s]\n24it [00:04, 4.80it/s]\n25it [00:05, 4.81it/s]\n26it [00:05, 4.80it/s]\n27it [00:05, 4.80it/s]\n28it [00:05, 4.79it/s]\n28it [00:05, 4.87it/s]\n0it [00:00, ?it/s]\n1it [00:00, 4.83it/s]\n2it [00:00, 4.82it/s]\n3it [00:00, 4.80it/s]\n4it [00:00, 4.80it/s]\n5it [00:01, 4.80it/s]\n6it [00:01, 4.79it/s]\n7it [00:01, 4.80it/s]\n8it [00:01, 4.79it/s]\n9it [00:01, 4.80it/s]\n10it [00:02, 4.80it/s]\n11it [00:02, 4.81it/s]\n12it [00:02, 4.81it/s]\n13it [00:02, 4.80it/s]\n14it [00:02, 4.80it/s]\n15it [00:03, 4.79it/s]\n16it [00:03, 4.79it/s]\n17it [00:03, 4.80it/s]\n18it [00:03, 4.80it/s]\n19it [00:03, 4.79it/s]\n20it [00:04, 4.79it/s]\n21it [00:04, 4.79it/s]\n22it [00:04, 4.78it/s]\n23it [00:04, 4.79it/s]\n24it [00:05, 4.80it/s]\n25it [00:05, 4.79it/s]\n26it [00:05, 4.79it/s]\n27it [00:05, 4.79it/s]\n28it [00:05, 4.79it/s]\n28it [00:05, 4.80it/s]\n0it [00:00, ?it/s]\n1it [00:00, 4.84it/s]\n2it [00:00, 4.82it/s]\n3it [00:00, 4.80it/s]\n4it [00:00, 4.78it/s]\n5it [00:01, 4.79it/s]\n6it [00:01, 4.79it/s]\n7it [00:01, 4.79it/s]\n8it [00:01, 4.79it/s]\n9it [00:01, 4.79it/s]\n10it [00:02, 4.79it/s]\n11it [00:02, 4.79it/s]\n12it [00:02, 4.78it/s]\n13it [00:02, 4.78it/s]\n14it [00:02, 4.78it/s]\n15it [00:03, 4.78it/s]\n16it [00:03, 4.79it/s]\n17it [00:03, 4.79it/s]\n18it [00:03, 4.79it/s]\n19it [00:03, 4.79it/s]\n20it [00:04, 4.79it/s]\n21it [00:04, 4.80it/s]\n22it [00:04, 4.81it/s]\n23it [00:04, 4.81it/s]\n24it [00:05, 4.81it/s]\n25it [00:05, 4.80it/s]\n26it [00:05, 4.80it/s]\n27it [00:05, 4.80it/s]\n28it [00:05, 4.80it/s]\n28it [00:05, 4.79it/s]\n0it [00:00, ?it/s]\n1it [00:00, 4.82it/s]\n2it [00:00, 4.79it/s]\n3it [00:00, 4.80it/s]\n4it [00:00, 4.79it/s]\n5it [00:01, 4.79it/s]\n6it [00:01, 4.80it/s]\n7it [00:01, 4.80it/s]\n8it [00:01, 4.79it/s]\n9it [00:01, 4.79it/s]\n10it [00:02, 4.79it/s]\n11it [00:02, 4.78it/s]\n12it [00:02, 4.78it/s]\n13it [00:02, 4.78it/s]\n14it [00:02, 4.79it/s]\n15it [00:03, 4.80it/s]\n16it [00:03, 4.80it/s]\n17it [00:03, 4.79it/s]\n18it [00:03, 4.79it/s]\n19it [00:03, 4.79it/s]\n20it [00:04, 4.79it/s]\n21it [00:04, 4.80it/s]\n22it [00:04, 4.79it/s]\n23it [00:04, 4.79it/s]\n24it [00:05, 4.80it/s]\n25it [00:05, 4.80it/s]\n26it [00:05, 4.80it/s]\n27it [00:05, 4.80it/s]\n28it [00:05, 4.79it/s]\n28it [00:05, 4.79it/s]\nTotal safe images: 4 out of 4", "metrics": { "predict_time": 28.368047564, "total_time": 35.324025 }, "output": [ "https://replicate.delivery/xezq/vmvkkGKDt8KQEBViLQMDGA4f8ShNh71EMatJOlBDQeeS3nDoA/out-0.png", "https://replicate.delivery/xezq/QiHtALx6Xm7YKxJqHOGAoxogTcS8G3VC7tKzSArcwXZ6e5AKA/out-1.png", "https://replicate.delivery/xezq/1PreLz6UNp39QqpTcDdXtcrVEOi3AlSeQlIzhOmuE76p7zBUA/out-2.png", "https://replicate.delivery/xezq/e5YWeSfg2ZYnToCZjvYtobU8Uei6xBAMMytteYRo6BUOdfcAF/out-3.png" ], "started_at": "2025-01-04T19:32:29.288977Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-eaobicaaga5ayuwescvarht5t4gzbpwsnibyflfjb26c2wmlrx5q", "get": "https://api.replicate.com/v1/predictions/0bent7q6qnrm80cm6b6rv80gg8", "cancel": "https://api.replicate.com/v1/predictions/0bent7q6qnrm80cm6b6rv80gg8/cancel" }, "version": "2f0b4599d01740a37fe1e140fd9580aaf6fc52f15713265b0e1607e7e62eb37a" }
Generated in2025-01-04 19:32:29.288 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2025-01-04 19:32:29.288 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 90%|█████████ | 274/304 [00:00<00:00, 2736.25it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2647.35it/s] 2025-01-04 19:32:29.403 | SUCCESS | fp8.lora_loading:unload_loras:564 - LoRAs unloaded in 0.12s free=29370900414464 Downloading weights 2025-01-04T19:32:29Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpfcz42qcy/weights url=https://replicate.delivery/xezq/9MjtfhdE9c1zHCYLVAo1idJLuhNXCBPC51TJ65xLNB0zrmfTA/trained_model.tar 2025-01-04T19:32:32Z | INFO | [ Complete ] dest=/tmp/tmpfcz42qcy/weights size="172 MB" total_elapsed=2.834s url=https://replicate.delivery/xezq/9MjtfhdE9c1zHCYLVAo1idJLuhNXCBPC51TJ65xLNB0zrmfTA/trained_model.tar Downloaded weights in 2.86s 2025-01-04 19:32:32.263 | INFO | fp8.lora_loading:convert_lora_weights:498 - Loading LoRA weights for /src/weights-cache/30b9c699f50e80a4 2025-01-04 19:32:32.334 | INFO | fp8.lora_loading:convert_lora_weights:519 - LoRA weights loaded 2025-01-04 19:32:32.335 | DEBUG | fp8.lora_loading:apply_lora_to_model:574 - Extracting keys 2025-01-04 19:32:32.335 | DEBUG | fp8.lora_loading:apply_lora_to_model:581 - Keys extracted Applying LoRA: 0%| | 0/304 [00:00<?, ?it/s] Applying LoRA: 90%|█████████ | 275/304 [00:00<00:00, 2749.43it/s] Applying LoRA: 100%|██████████| 304/304 [00:00<00:00, 2653.58it/s] 2025-01-04 19:32:32.450 | SUCCESS | fp8.lora_loading:load_lora:539 - LoRA applied in 0.19s Using seed: 49202 0it [00:00, ?it/s] 1it [00:00, 8.36it/s] 2it [00:00, 5.86it/s] 3it [00:00, 5.33it/s] 4it [00:00, 5.12it/s] 5it [00:00, 4.99it/s] 6it [00:01, 4.90it/s] 7it [00:01, 4.86it/s] 8it [00:01, 4.86it/s] 9it [00:01, 4.84it/s] 10it [00:01, 4.82it/s] 11it [00:02, 4.80it/s] 12it [00:02, 4.79it/s] 13it [00:02, 4.80it/s] 14it [00:02, 4.81it/s] 15it [00:03, 4.80it/s] 16it [00:03, 4.80it/s] 17it [00:03, 4.80it/s] 18it [00:03, 4.80it/s] 19it [00:03, 4.81it/s] 20it [00:04, 4.80it/s] 21it [00:04, 4.80it/s] 22it [00:04, 4.79it/s] 23it [00:04, 4.79it/s] 24it [00:04, 4.80it/s] 25it [00:05, 4.81it/s] 26it [00:05, 4.80it/s] 27it [00:05, 4.80it/s] 28it [00:05, 4.79it/s] 28it [00:05, 4.87it/s] 0it [00:00, ?it/s] 1it [00:00, 4.83it/s] 2it [00:00, 4.82it/s] 3it [00:00, 4.80it/s] 4it [00:00, 4.80it/s] 5it [00:01, 4.80it/s] 6it [00:01, 4.79it/s] 7it [00:01, 4.80it/s] 8it [00:01, 4.79it/s] 9it [00:01, 4.80it/s] 10it [00:02, 4.80it/s] 11it [00:02, 4.81it/s] 12it [00:02, 4.81it/s] 13it [00:02, 4.80it/s] 14it [00:02, 4.80it/s] 15it [00:03, 4.79it/s] 16it [00:03, 4.79it/s] 17it [00:03, 4.80it/s] 18it [00:03, 4.80it/s] 19it [00:03, 4.79it/s] 20it [00:04, 4.79it/s] 21it [00:04, 4.79it/s] 22it [00:04, 4.78it/s] 23it [00:04, 4.79it/s] 24it [00:05, 4.80it/s] 25it [00:05, 4.79it/s] 26it [00:05, 4.79it/s] 27it [00:05, 4.79it/s] 28it [00:05, 4.79it/s] 28it [00:05, 4.80it/s] 0it [00:00, ?it/s] 1it [00:00, 4.84it/s] 2it [00:00, 4.82it/s] 3it [00:00, 4.80it/s] 4it [00:00, 4.78it/s] 5it [00:01, 4.79it/s] 6it [00:01, 4.79it/s] 7it [00:01, 4.79it/s] 8it [00:01, 4.79it/s] 9it [00:01, 4.79it/s] 10it [00:02, 4.79it/s] 11it [00:02, 4.79it/s] 12it [00:02, 4.78it/s] 13it [00:02, 4.78it/s] 14it [00:02, 4.78it/s] 15it [00:03, 4.78it/s] 16it [00:03, 4.79it/s] 17it [00:03, 4.79it/s] 18it [00:03, 4.79it/s] 19it [00:03, 4.79it/s] 20it [00:04, 4.79it/s] 21it [00:04, 4.80it/s] 22it [00:04, 4.81it/s] 23it [00:04, 4.81it/s] 24it [00:05, 4.81it/s] 25it [00:05, 4.80it/s] 26it [00:05, 4.80it/s] 27it [00:05, 4.80it/s] 28it [00:05, 4.80it/s] 28it [00:05, 4.79it/s] 0it [00:00, ?it/s] 1it [00:00, 4.82it/s] 2it [00:00, 4.79it/s] 3it [00:00, 4.80it/s] 4it [00:00, 4.79it/s] 5it [00:01, 4.79it/s] 6it [00:01, 4.80it/s] 7it [00:01, 4.80it/s] 8it [00:01, 4.79it/s] 9it [00:01, 4.79it/s] 10it [00:02, 4.79it/s] 11it [00:02, 4.78it/s] 12it [00:02, 4.78it/s] 13it [00:02, 4.78it/s] 14it [00:02, 4.79it/s] 15it [00:03, 4.80it/s] 16it [00:03, 4.80it/s] 17it [00:03, 4.79it/s] 18it [00:03, 4.79it/s] 19it [00:03, 4.79it/s] 20it [00:04, 4.79it/s] 21it [00:04, 4.80it/s] 22it [00:04, 4.79it/s] 23it [00:04, 4.79it/s] 24it [00:05, 4.80it/s] 25it [00:05, 4.80it/s] 26it [00:05, 4.80it/s] 27it [00:05, 4.80it/s] 28it [00:05, 4.79it/s] 28it [00:05, 4.79it/s] Total safe images: 4 out of 4
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