vcollos / camis
- Public
- 43 runs
-
H100
Prediction
vcollos/camis:852de19beb31d169c95b9a526bc20ef3370ae531adeb4f2749401e352a9bb482ID2kywv93wr1rmc0cpmwps7j7wrmStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- Professional portrait of Camila, a dental surgeon, dressed in white in her dental office, in the background we see the modern dental chair blurred, it is a bright and well-lit room. Professional photography 35mm
- 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
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "Professional portrait of Camila, a dental surgeon, dressed in white in her dental office, in the background we see the modern dental chair blurred, it is a bright and well-lit room. Professional photography 35mm", "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": 0.8, "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"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run vcollos/camis using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "vcollos/camis:852de19beb31d169c95b9a526bc20ef3370ae531adeb4f2749401e352a9bb482", { input: { model: "dev", prompt: "Professional portrait of Camila, a dental surgeon, dressed in white in her dental office, in the background we see the modern dental chair blurred, it is a bright and well-lit room. Professional photography 35mm", 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: 0.8, 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 vcollos/camis using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "vcollos/camis:852de19beb31d169c95b9a526bc20ef3370ae531adeb4f2749401e352a9bb482", input={ "model": "dev", "prompt": "Professional portrait of Camila, a dental surgeon, dressed in white in her dental office, in the background we see the modern dental chair blurred, it is a bright and well-lit room. Professional photography 35mm", "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": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } ) # To access the file URL: print(output[0].url()) #=> "http://example.com" # To write the file to disk: with open("my-image.png", "wb") as file: file.write(output[0].read())
To learn more, take a look at the guide on getting started with Python.
Run vcollos/camis 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": "vcollos/camis:852de19beb31d169c95b9a526bc20ef3370ae531adeb4f2749401e352a9bb482", "input": { "model": "dev", "prompt": "Professional portrait of Camila, a dental surgeon, dressed in white in her dental office, in the background we see the modern dental chair blurred, it is a bright and well-lit room. Professional photography 35mm", "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": 0.8, "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.
You can run this model locally using Cog. First, install Cog:brew install cog
If you don’t have Homebrew, there are other installation options available.
Run this to download the model and run it in your local environment:
cog predict r8.im/vcollos/camis@sha256:852de19beb31d169c95b9a526bc20ef3370ae531adeb4f2749401e352a9bb482 \ -i 'model="dev"' \ -i 'prompt="Professional portrait of Camila, a dental surgeon, dressed in white in her dental office, in the background we see the modern dental chair blurred, it is a bright and well-lit room. Professional photography 35mm"' \ -i 'go_fast=false' \ -i 'lora_scale=1' \ -i 'megapixels="1"' \ -i 'num_outputs=1' \ -i 'aspect_ratio="1:1"' \ -i 'output_format="webp"' \ -i 'guidance_scale=3' \ -i 'output_quality=80' \ -i 'prompt_strength=0.8' \ -i 'extra_lora_scale=1' \ -i 'num_inference_steps=28'
To learn more, take a look at the Cog documentation.
Run this to download the model and run it in your local environment:
docker run -d -p 5000:5000 --gpus=all r8.im/vcollos/camis@sha256:852de19beb31d169c95b9a526bc20ef3370ae531adeb4f2749401e352a9bb482
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "model": "dev", "prompt": "Professional portrait of Camila, a dental surgeon, dressed in white in her dental office, in the background we see the modern dental chair blurred, it is a bright and well-lit room. Professional photography 35mm", "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": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } }' \ http://localhost:5000/predictions
To learn more, take a look at the Cog documentation.
Output
{ "completed_at": "2025-05-06T19:58:25.379037Z", "created_at": "2025-05-06T19:58:18.304000Z", "data_removed": false, "error": null, "id": "2kywv93wr1rmc0cpmwps7j7wrm", "input": { "model": "dev", "prompt": "Professional portrait of Camila, a dental surgeon, dressed in white in her dental office, in the background we see the modern dental chair blurred, it is a bright and well-lit room. Professional photography 35mm", "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": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "free=28442114826240\nDownloading weights\n2025-05-06T19:58:18Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp9m5g9u4t/weights url=https://replicate.delivery/xezq/nKEz5kOBfTUxFCthGAywXdu6ZBmSJy3V3hkEo8ukxyXKWnPKA/trained_model.tar\n2025-05-06T19:58:18Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local\n2025-05-06T19:58:18Z | INFO | [ Complete ] dest=/tmp/tmp9m5g9u4t/weights size=\"6.3 MB\" total_elapsed=0.218s url=https://replicate.delivery/xezq/nKEz5kOBfTUxFCthGAywXdu6ZBmSJy3V3hkEo8ukxyXKWnPKA/trained_model.tar\nDownloaded weights in 0.24s\nLoaded LoRAs in 0.44s\nUsing seed: 48362\nPrompt: Professional portrait of Camila, a dental surgeon, dressed in white in her dental office, in the background we see the modern dental chair blurred, it is a bright and well-lit room. Professional photography 35mm\n[!] txt2img mode\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:06, 4.33it/s]\n 7%|▋ | 2/28 [00:00<00:04, 5.29it/s]\n 11%|█ | 3/28 [00:00<00:05, 4.84it/s]\n 14%|█▍ | 4/28 [00:00<00:05, 4.65it/s]\n 18%|█▊ | 5/28 [00:01<00:05, 4.54it/s]\n 21%|██▏ | 6/28 [00:01<00:04, 4.48it/s]\n 25%|██▌ | 7/28 [00:01<00:04, 4.46it/s]\n 29%|██▊ | 8/28 [00:01<00:04, 4.44it/s]\n 32%|███▏ | 9/28 [00:01<00:04, 4.43it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 4.42it/s]\n 39%|███▉ | 11/28 [00:02<00:03, 4.41it/s]\n 43%|████▎ | 12/28 [00:02<00:03, 4.40it/s]\n 46%|████▋ | 13/28 [00:02<00:03, 4.40it/s]\n 50%|█████ | 14/28 [00:03<00:03, 4.41it/s]\n 54%|█████▎ | 15/28 [00:03<00:02, 4.40it/s]\n 57%|█████▋ | 16/28 [00:03<00:02, 4.40it/s]\n 61%|██████ | 17/28 [00:03<00:02, 4.40it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 4.40it/s]\n 68%|██████▊ | 19/28 [00:04<00:02, 4.40it/s]\n 71%|███████▏ | 20/28 [00:04<00:01, 4.39it/s]\n 75%|███████▌ | 21/28 [00:04<00:01, 4.39it/s]\n 79%|███████▊ | 22/28 [00:04<00:01, 4.40it/s]\n 82%|████████▏ | 23/28 [00:05<00:01, 4.40it/s]\n 86%|████████▌ | 24/28 [00:05<00:00, 4.40it/s]\n 89%|████████▉ | 25/28 [00:05<00:00, 4.40it/s]\n 93%|█████████▎| 26/28 [00:05<00:00, 4.39it/s]\n 96%|█████████▋| 27/28 [00:06<00:00, 4.39it/s]\n100%|██████████| 28/28 [00:06<00:00, 4.39it/s]\n100%|██████████| 28/28 [00:06<00:00, 4.44it/s]\nTotal safe images: 1 out of 1", "metrics": { "predict_time": 7.045171686, "total_time": 7.075037 }, "output": [ "https://replicate.delivery/xezq/cefiMj8R9BjeyouL6zCveTyhRvU1FsQfi714XWS67mIL8NQlC/out-0.webp" ], "started_at": "2025-05-06T19:58:18.333865Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-vy4a5bq2l37sn7fvjwbpcjhkhnrxxwh2zbwfyi74aohpkhquzfea", "get": "https://api.replicate.com/v1/predictions/2kywv93wr1rmc0cpmwps7j7wrm", "cancel": "https://api.replicate.com/v1/predictions/2kywv93wr1rmc0cpmwps7j7wrm/cancel" }, "version": "852de19beb31d169c95b9a526bc20ef3370ae531adeb4f2749401e352a9bb482" }
Generated infree=28442114826240 Downloading weights 2025-05-06T19:58:18Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp9m5g9u4t/weights url=https://replicate.delivery/xezq/nKEz5kOBfTUxFCthGAywXdu6ZBmSJy3V3hkEo8ukxyXKWnPKA/trained_model.tar 2025-05-06T19:58:18Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local 2025-05-06T19:58:18Z | INFO | [ Complete ] dest=/tmp/tmp9m5g9u4t/weights size="6.3 MB" total_elapsed=0.218s url=https://replicate.delivery/xezq/nKEz5kOBfTUxFCthGAywXdu6ZBmSJy3V3hkEo8ukxyXKWnPKA/trained_model.tar Downloaded weights in 0.24s Loaded LoRAs in 0.44s Using seed: 48362 Prompt: Professional portrait of Camila, a dental surgeon, dressed in white in her dental office, in the background we see the modern dental chair blurred, it is a bright and well-lit room. Professional photography 35mm [!] txt2img mode 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:06, 4.33it/s] 7%|▋ | 2/28 [00:00<00:04, 5.29it/s] 11%|█ | 3/28 [00:00<00:05, 4.84it/s] 14%|█▍ | 4/28 [00:00<00:05, 4.65it/s] 18%|█▊ | 5/28 [00:01<00:05, 4.54it/s] 21%|██▏ | 6/28 [00:01<00:04, 4.48it/s] 25%|██▌ | 7/28 [00:01<00:04, 4.46it/s] 29%|██▊ | 8/28 [00:01<00:04, 4.44it/s] 32%|███▏ | 9/28 [00:01<00:04, 4.43it/s] 36%|███▌ | 10/28 [00:02<00:04, 4.42it/s] 39%|███▉ | 11/28 [00:02<00:03, 4.41it/s] 43%|████▎ | 12/28 [00:02<00:03, 4.40it/s] 46%|████▋ | 13/28 [00:02<00:03, 4.40it/s] 50%|█████ | 14/28 [00:03<00:03, 4.41it/s] 54%|█████▎ | 15/28 [00:03<00:02, 4.40it/s] 57%|█████▋ | 16/28 [00:03<00:02, 4.40it/s] 61%|██████ | 17/28 [00:03<00:02, 4.40it/s] 64%|██████▍ | 18/28 [00:04<00:02, 4.40it/s] 68%|██████▊ | 19/28 [00:04<00:02, 4.40it/s] 71%|███████▏ | 20/28 [00:04<00:01, 4.39it/s] 75%|███████▌ | 21/28 [00:04<00:01, 4.39it/s] 79%|███████▊ | 22/28 [00:04<00:01, 4.40it/s] 82%|████████▏ | 23/28 [00:05<00:01, 4.40it/s] 86%|████████▌ | 24/28 [00:05<00:00, 4.40it/s] 89%|████████▉ | 25/28 [00:05<00:00, 4.40it/s] 93%|█████████▎| 26/28 [00:05<00:00, 4.39it/s] 96%|█████████▋| 27/28 [00:06<00:00, 4.39it/s] 100%|██████████| 28/28 [00:06<00:00, 4.39it/s] 100%|██████████| 28/28 [00:06<00:00, 4.44it/s] Total safe images: 1 out of 1
Prediction
vcollos/camis:852de19beb31d169c95b9a526bc20ef3370ae531adeb4f2749401e352a9bb482ID56vebj2denrmc0cpmwq92wwtq0StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- Professional portrait of Camila, a 40 years-old dark blondie dental surgeon, dressed in white in her dental office, in the background we see the modern dental chair blurred, it is a bright and well-lit room. Professional photography 35mm
- 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
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "Professional portrait of Camila, a 40 years-old dark blondie dental surgeon, dressed in white in her dental office, in the background we see the modern dental chair blurred, it is a bright and well-lit room. Professional photography 35mm", "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": 0.8, "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"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run vcollos/camis using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "vcollos/camis:852de19beb31d169c95b9a526bc20ef3370ae531adeb4f2749401e352a9bb482", { input: { model: "dev", prompt: "Professional portrait of Camila, a 40 years-old dark blondie dental surgeon, dressed in white in her dental office, in the background we see the modern dental chair blurred, it is a bright and well-lit room. Professional photography 35mm", 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: 0.8, 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 vcollos/camis using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "vcollos/camis:852de19beb31d169c95b9a526bc20ef3370ae531adeb4f2749401e352a9bb482", input={ "model": "dev", "prompt": "Professional portrait of Camila, a 40 years-old dark blondie dental surgeon, dressed in white in her dental office, in the background we see the modern dental chair blurred, it is a bright and well-lit room. Professional photography 35mm", "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": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } ) # To access the file URL: print(output[0].url()) #=> "http://example.com" # To write the file to disk: with open("my-image.png", "wb") as file: file.write(output[0].read())
To learn more, take a look at the guide on getting started with Python.
Run vcollos/camis 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": "vcollos/camis:852de19beb31d169c95b9a526bc20ef3370ae531adeb4f2749401e352a9bb482", "input": { "model": "dev", "prompt": "Professional portrait of Camila, a 40 years-old dark blondie dental surgeon, dressed in white in her dental office, in the background we see the modern dental chair blurred, it is a bright and well-lit room. Professional photography 35mm", "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": 0.8, "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.
You can run this model locally using Cog. First, install Cog:brew install cog
If you don’t have Homebrew, there are other installation options available.
Run this to download the model and run it in your local environment:
cog predict r8.im/vcollos/camis@sha256:852de19beb31d169c95b9a526bc20ef3370ae531adeb4f2749401e352a9bb482 \ -i 'model="dev"' \ -i 'prompt="Professional portrait of Camila, a 40 years-old dark blondie dental surgeon, dressed in white in her dental office, in the background we see the modern dental chair blurred, it is a bright and well-lit room. Professional photography 35mm"' \ -i 'go_fast=false' \ -i 'lora_scale=1' \ -i 'megapixels="1"' \ -i 'num_outputs=1' \ -i 'aspect_ratio="1:1"' \ -i 'output_format="webp"' \ -i 'guidance_scale=3' \ -i 'output_quality=80' \ -i 'prompt_strength=0.8' \ -i 'extra_lora_scale=1' \ -i 'num_inference_steps=28'
To learn more, take a look at the Cog documentation.
Run this to download the model and run it in your local environment:
docker run -d -p 5000:5000 --gpus=all r8.im/vcollos/camis@sha256:852de19beb31d169c95b9a526bc20ef3370ae531adeb4f2749401e352a9bb482
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "model": "dev", "prompt": "Professional portrait of Camila, a 40 years-old dark blondie dental surgeon, dressed in white in her dental office, in the background we see the modern dental chair blurred, it is a bright and well-lit room. Professional photography 35mm", "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": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } }' \ http://localhost:5000/predictions
To learn more, take a look at the Cog documentation.
Output
{ "completed_at": "2025-05-06T19:59:18.806490Z", "created_at": "2025-05-06T19:59:11.733000Z", "data_removed": false, "error": null, "id": "56vebj2denrmc0cpmwq92wwtq0", "input": { "model": "dev", "prompt": "Professional portrait of Camila, a 40 years-old dark blondie dental surgeon, dressed in white in her dental office, in the background we see the modern dental chair blurred, it is a bright and well-lit room. Professional photography 35mm", "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": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "free=28551062245376\nDownloading weights\n2025-05-06T19:59:11Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpxaq52i8_/weights url=https://replicate.delivery/xezq/nKEz5kOBfTUxFCthGAywXdu6ZBmSJy3V3hkEo8ukxyXKWnPKA/trained_model.tar\n2025-05-06T19:59:11Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local\n2025-05-06T19:59:12Z | INFO | [ Complete ] dest=/tmp/tmpxaq52i8_/weights size=\"6.3 MB\" total_elapsed=0.196s url=https://replicate.delivery/xezq/nKEz5kOBfTUxFCthGAywXdu6ZBmSJy3V3hkEo8ukxyXKWnPKA/trained_model.tar\nDownloaded weights in 0.24s\nLoaded LoRAs in 0.32s\nUsing seed: 62292\nPrompt: Professional portrait of Camila, a 40 years-old dark blondie dental surgeon, dressed in white in her dental office, in the background we see the modern dental chair blurred, it is a bright and well-lit room. Professional photography 35mm\n[!] txt2img mode\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:06, 4.38it/s]\n 7%|▋ | 2/28 [00:00<00:04, 5.36it/s]\n 11%|█ | 3/28 [00:00<00:05, 4.88it/s]\n 14%|█▍ | 4/28 [00:00<00:05, 4.68it/s]\n 18%|█▊ | 5/28 [00:01<00:05, 4.57it/s]\n 21%|██▏ | 6/28 [00:01<00:04, 4.51it/s]\n 25%|██▌ | 7/28 [00:01<00:04, 4.47it/s]\n 29%|██▊ | 8/28 [00:01<00:04, 4.45it/s]\n 32%|███▏ | 9/28 [00:01<00:04, 4.43it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 4.42it/s]\n 39%|███▉ | 11/28 [00:02<00:03, 4.41it/s]\n 43%|████▎ | 12/28 [00:02<00:03, 4.41it/s]\n 46%|████▋ | 13/28 [00:02<00:03, 4.40it/s]\n 50%|█████ | 14/28 [00:03<00:03, 4.40it/s]\n 54%|█████▎ | 15/28 [00:03<00:02, 4.40it/s]\n 57%|█████▋ | 16/28 [00:03<00:02, 4.40it/s]\n 61%|██████ | 17/28 [00:03<00:02, 4.40it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 4.39it/s]\n 68%|██████▊ | 19/28 [00:04<00:02, 4.39it/s]\n 71%|███████▏ | 20/28 [00:04<00:01, 4.39it/s]\n 75%|███████▌ | 21/28 [00:04<00:01, 4.39it/s]\n 79%|███████▊ | 22/28 [00:04<00:01, 4.39it/s]\n 82%|████████▏ | 23/28 [00:05<00:01, 4.40it/s]\n 86%|████████▌ | 24/28 [00:05<00:00, 4.39it/s]\n 89%|████████▉ | 25/28 [00:05<00:00, 4.39it/s]\n 93%|█████████▎| 26/28 [00:05<00:00, 4.39it/s]\n 96%|█████████▋| 27/28 [00:06<00:00, 4.40it/s]\n100%|██████████| 28/28 [00:06<00:00, 4.39it/s]\n100%|██████████| 28/28 [00:06<00:00, 4.44it/s]\nTotal safe images: 1 out of 1", "metrics": { "predict_time": 6.9093351720000005, "total_time": 7.07349 }, "output": [ "https://replicate.delivery/xezq/15CCxhgAlgrHFJaoCwRDodUaJXauf9J9LEohSJc8c0ZL4AVKA/out-0.webp" ], "started_at": "2025-05-06T19:59:11.897155Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-s2lrrabknm7gmy6ja7pkol7iuzlfuuocfjdb52mzcnx2kvxcjfda", "get": "https://api.replicate.com/v1/predictions/56vebj2denrmc0cpmwq92wwtq0", "cancel": "https://api.replicate.com/v1/predictions/56vebj2denrmc0cpmwq92wwtq0/cancel" }, "version": "852de19beb31d169c95b9a526bc20ef3370ae531adeb4f2749401e352a9bb482" }
Generated infree=28551062245376 Downloading weights 2025-05-06T19:59:11Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpxaq52i8_/weights url=https://replicate.delivery/xezq/nKEz5kOBfTUxFCthGAywXdu6ZBmSJy3V3hkEo8ukxyXKWnPKA/trained_model.tar 2025-05-06T19:59:11Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local 2025-05-06T19:59:12Z | INFO | [ Complete ] dest=/tmp/tmpxaq52i8_/weights size="6.3 MB" total_elapsed=0.196s url=https://replicate.delivery/xezq/nKEz5kOBfTUxFCthGAywXdu6ZBmSJy3V3hkEo8ukxyXKWnPKA/trained_model.tar Downloaded weights in 0.24s Loaded LoRAs in 0.32s Using seed: 62292 Prompt: Professional portrait of Camila, a 40 years-old dark blondie dental surgeon, dressed in white in her dental office, in the background we see the modern dental chair blurred, it is a bright and well-lit room. Professional photography 35mm [!] txt2img mode 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:06, 4.38it/s] 7%|▋ | 2/28 [00:00<00:04, 5.36it/s] 11%|█ | 3/28 [00:00<00:05, 4.88it/s] 14%|█▍ | 4/28 [00:00<00:05, 4.68it/s] 18%|█▊ | 5/28 [00:01<00:05, 4.57it/s] 21%|██▏ | 6/28 [00:01<00:04, 4.51it/s] 25%|██▌ | 7/28 [00:01<00:04, 4.47it/s] 29%|██▊ | 8/28 [00:01<00:04, 4.45it/s] 32%|███▏ | 9/28 [00:01<00:04, 4.43it/s] 36%|███▌ | 10/28 [00:02<00:04, 4.42it/s] 39%|███▉ | 11/28 [00:02<00:03, 4.41it/s] 43%|████▎ | 12/28 [00:02<00:03, 4.41it/s] 46%|████▋ | 13/28 [00:02<00:03, 4.40it/s] 50%|█████ | 14/28 [00:03<00:03, 4.40it/s] 54%|█████▎ | 15/28 [00:03<00:02, 4.40it/s] 57%|█████▋ | 16/28 [00:03<00:02, 4.40it/s] 61%|██████ | 17/28 [00:03<00:02, 4.40it/s] 64%|██████▍ | 18/28 [00:04<00:02, 4.39it/s] 68%|██████▊ | 19/28 [00:04<00:02, 4.39it/s] 71%|███████▏ | 20/28 [00:04<00:01, 4.39it/s] 75%|███████▌ | 21/28 [00:04<00:01, 4.39it/s] 79%|███████▊ | 22/28 [00:04<00:01, 4.39it/s] 82%|████████▏ | 23/28 [00:05<00:01, 4.40it/s] 86%|████████▌ | 24/28 [00:05<00:00, 4.39it/s] 89%|████████▉ | 25/28 [00:05<00:00, 4.39it/s] 93%|█████████▎| 26/28 [00:05<00:00, 4.39it/s] 96%|█████████▋| 27/28 [00:06<00:00, 4.40it/s] 100%|██████████| 28/28 [00:06<00:00, 4.39it/s] 100%|██████████| 28/28 [00:06<00:00, 4.44it/s] Total safe images: 1 out of 1
Prediction
vcollos/camis:852de19beb31d169c95b9a526bc20ef3370ae531adeb4f2749401e352a9bb482IDymk8vy521drme0cpmwqa4yvx10StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- Professional portrait of Camila, a 40 years-old blondie dental surgeon, dressed in white in her dental office, in the background we see the modern dental chair blurred, it is a bright and well-lit room. Professional photography 35mm
- 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
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "Professional portrait of Camila, a 40 years-old blondie dental surgeon, dressed in white in her dental office, in the background we see the modern dental chair blurred, it is a bright and well-lit room. Professional photography 35mm", "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": 0.8, "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"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run vcollos/camis using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "vcollos/camis:852de19beb31d169c95b9a526bc20ef3370ae531adeb4f2749401e352a9bb482", { input: { model: "dev", prompt: "Professional portrait of Camila, a 40 years-old blondie dental surgeon, dressed in white in her dental office, in the background we see the modern dental chair blurred, it is a bright and well-lit room. Professional photography 35mm", 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: 0.8, 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 vcollos/camis using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "vcollos/camis:852de19beb31d169c95b9a526bc20ef3370ae531adeb4f2749401e352a9bb482", input={ "model": "dev", "prompt": "Professional portrait of Camila, a 40 years-old blondie dental surgeon, dressed in white in her dental office, in the background we see the modern dental chair blurred, it is a bright and well-lit room. Professional photography 35mm", "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": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } ) # To access the file URL: print(output[0].url()) #=> "http://example.com" # To write the file to disk: with open("my-image.png", "wb") as file: file.write(output[0].read())
To learn more, take a look at the guide on getting started with Python.
Run vcollos/camis 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": "vcollos/camis:852de19beb31d169c95b9a526bc20ef3370ae531adeb4f2749401e352a9bb482", "input": { "model": "dev", "prompt": "Professional portrait of Camila, a 40 years-old blondie dental surgeon, dressed in white in her dental office, in the background we see the modern dental chair blurred, it is a bright and well-lit room. Professional photography 35mm", "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": 0.8, "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.
You can run this model locally using Cog. First, install Cog:brew install cog
If you don’t have Homebrew, there are other installation options available.
Run this to download the model and run it in your local environment:
cog predict r8.im/vcollos/camis@sha256:852de19beb31d169c95b9a526bc20ef3370ae531adeb4f2749401e352a9bb482 \ -i 'model="dev"' \ -i 'prompt="Professional portrait of Camila, a 40 years-old blondie dental surgeon, dressed in white in her dental office, in the background we see the modern dental chair blurred, it is a bright and well-lit room. Professional photography 35mm"' \ -i 'go_fast=false' \ -i 'lora_scale=1' \ -i 'megapixels="1"' \ -i 'num_outputs=1' \ -i 'aspect_ratio="1:1"' \ -i 'output_format="webp"' \ -i 'guidance_scale=3' \ -i 'output_quality=80' \ -i 'prompt_strength=0.8' \ -i 'extra_lora_scale=1' \ -i 'num_inference_steps=28'
To learn more, take a look at the Cog documentation.
Run this to download the model and run it in your local environment:
docker run -d -p 5000:5000 --gpus=all r8.im/vcollos/camis@sha256:852de19beb31d169c95b9a526bc20ef3370ae531adeb4f2749401e352a9bb482
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "model": "dev", "prompt": "Professional portrait of Camila, a 40 years-old blondie dental surgeon, dressed in white in her dental office, in the background we see the modern dental chair blurred, it is a bright and well-lit room. Professional photography 35mm", "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": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } }' \ http://localhost:5000/predictions
To learn more, take a look at the Cog documentation.
Output
{ "completed_at": "2025-05-06T19:59:40.750099Z", "created_at": "2025-05-06T19:59:33.387000Z", "data_removed": false, "error": null, "id": "ymk8vy521drme0cpmwqa4yvx10", "input": { "model": "dev", "prompt": "Professional portrait of Camila, a 40 years-old blondie dental surgeon, dressed in white in her dental office, in the background we see the modern dental chair blurred, it is a bright and well-lit room. Professional photography 35mm", "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": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "free=28877434048512\nDownloading weights\n2025-05-06T19:59:34Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpmkzp2ngq/weights url=https://replicate.delivery/xezq/nKEz5kOBfTUxFCthGAywXdu6ZBmSJy3V3hkEo8ukxyXKWnPKA/trained_model.tar\n2025-05-06T19:59:34Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local\n2025-05-06T19:59:34Z | INFO | [ Complete ] dest=/tmp/tmpmkzp2ngq/weights size=\"6.3 MB\" total_elapsed=0.106s url=https://replicate.delivery/xezq/nKEz5kOBfTUxFCthGAywXdu6ZBmSJy3V3hkEo8ukxyXKWnPKA/trained_model.tar\nDownloaded weights in 0.12s\nLoaded LoRAs in 0.20s\nUsing seed: 60017\nPrompt: Professional portrait of Camila, a 40 years-old blondie dental surgeon, dressed in white in her dental office, in the background we see the modern dental chair blurred, it is a bright and well-lit room. Professional photography 35mm\n[!] txt2img mode\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:06, 4.40it/s]\n 7%|▋ | 2/28 [00:00<00:04, 5.39it/s]\n 11%|█ | 3/28 [00:00<00:05, 4.90it/s]\n 14%|█▍ | 4/28 [00:00<00:05, 4.69it/s]\n 18%|█▊ | 5/28 [00:01<00:05, 4.59it/s]\n 21%|██▏ | 6/28 [00:01<00:04, 4.52it/s]\n 25%|██▌ | 7/28 [00:01<00:04, 4.48it/s]\n 29%|██▊ | 8/28 [00:01<00:04, 4.45it/s]\n 32%|███▏ | 9/28 [00:01<00:04, 4.43it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 4.42it/s]\n 39%|███▉ | 11/28 [00:02<00:03, 4.42it/s]\n 43%|████▎ | 12/28 [00:02<00:03, 4.41it/s]\n 46%|████▋ | 13/28 [00:02<00:03, 4.41it/s]\n 50%|█████ | 14/28 [00:03<00:03, 4.41it/s]\n 54%|█████▎ | 15/28 [00:03<00:02, 4.41it/s]\n 57%|█████▋ | 16/28 [00:03<00:02, 4.41it/s]\n 61%|██████ | 17/28 [00:03<00:02, 4.42it/s]\n 64%|██████▍ | 18/28 [00:04<00:02, 4.42it/s]\n 68%|██████▊ | 19/28 [00:04<00:02, 4.41it/s]\n 71%|███████▏ | 20/28 [00:04<00:01, 4.41it/s]\n 75%|███████▌ | 21/28 [00:04<00:01, 4.41it/s]\n 79%|███████▊ | 22/28 [00:04<00:01, 4.41it/s]\n 82%|████████▏ | 23/28 [00:05<00:01, 4.40it/s]\n 86%|████████▌ | 24/28 [00:05<00:00, 4.40it/s]\n 89%|████████▉ | 25/28 [00:05<00:00, 4.40it/s]\n 93%|█████████▎| 26/28 [00:05<00:00, 4.41it/s]\n 96%|█████████▋| 27/28 [00:06<00:00, 4.41it/s]\n100%|██████████| 28/28 [00:06<00:00, 4.40it/s]\n100%|██████████| 28/28 [00:06<00:00, 4.45it/s]\nTotal safe images: 1 out of 1", "metrics": { "predict_time": 6.76966834, "total_time": 7.363099 }, "output": [ "https://replicate.delivery/xezq/CVwziaMLXdJUNZpupgwWPhEnGn7OjqFR4bNNJSS9veXW4AVKA/out-0.webp" ], "started_at": "2025-05-06T19:59:33.980431Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-3cn5hxhkpdgh553xgwooi6ajd3xbwbmh7be2fjw3tudtbt7uapiq", "get": "https://api.replicate.com/v1/predictions/ymk8vy521drme0cpmwqa4yvx10", "cancel": "https://api.replicate.com/v1/predictions/ymk8vy521drme0cpmwqa4yvx10/cancel" }, "version": "852de19beb31d169c95b9a526bc20ef3370ae531adeb4f2749401e352a9bb482" }
Generated infree=28877434048512 Downloading weights 2025-05-06T19:59:34Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpmkzp2ngq/weights url=https://replicate.delivery/xezq/nKEz5kOBfTUxFCthGAywXdu6ZBmSJy3V3hkEo8ukxyXKWnPKA/trained_model.tar 2025-05-06T19:59:34Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local 2025-05-06T19:59:34Z | INFO | [ Complete ] dest=/tmp/tmpmkzp2ngq/weights size="6.3 MB" total_elapsed=0.106s url=https://replicate.delivery/xezq/nKEz5kOBfTUxFCthGAywXdu6ZBmSJy3V3hkEo8ukxyXKWnPKA/trained_model.tar Downloaded weights in 0.12s Loaded LoRAs in 0.20s Using seed: 60017 Prompt: Professional portrait of Camila, a 40 years-old blondie dental surgeon, dressed in white in her dental office, in the background we see the modern dental chair blurred, it is a bright and well-lit room. Professional photography 35mm [!] txt2img mode 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:06, 4.40it/s] 7%|▋ | 2/28 [00:00<00:04, 5.39it/s] 11%|█ | 3/28 [00:00<00:05, 4.90it/s] 14%|█▍ | 4/28 [00:00<00:05, 4.69it/s] 18%|█▊ | 5/28 [00:01<00:05, 4.59it/s] 21%|██▏ | 6/28 [00:01<00:04, 4.52it/s] 25%|██▌ | 7/28 [00:01<00:04, 4.48it/s] 29%|██▊ | 8/28 [00:01<00:04, 4.45it/s] 32%|███▏ | 9/28 [00:01<00:04, 4.43it/s] 36%|███▌ | 10/28 [00:02<00:04, 4.42it/s] 39%|███▉ | 11/28 [00:02<00:03, 4.42it/s] 43%|████▎ | 12/28 [00:02<00:03, 4.41it/s] 46%|████▋ | 13/28 [00:02<00:03, 4.41it/s] 50%|█████ | 14/28 [00:03<00:03, 4.41it/s] 54%|█████▎ | 15/28 [00:03<00:02, 4.41it/s] 57%|█████▋ | 16/28 [00:03<00:02, 4.41it/s] 61%|██████ | 17/28 [00:03<00:02, 4.42it/s] 64%|██████▍ | 18/28 [00:04<00:02, 4.42it/s] 68%|██████▊ | 19/28 [00:04<00:02, 4.41it/s] 71%|███████▏ | 20/28 [00:04<00:01, 4.41it/s] 75%|███████▌ | 21/28 [00:04<00:01, 4.41it/s] 79%|███████▊ | 22/28 [00:04<00:01, 4.41it/s] 82%|████████▏ | 23/28 [00:05<00:01, 4.40it/s] 86%|████████▌ | 24/28 [00:05<00:00, 4.40it/s] 89%|████████▉ | 25/28 [00:05<00:00, 4.40it/s] 93%|█████████▎| 26/28 [00:05<00:00, 4.41it/s] 96%|█████████▋| 27/28 [00:06<00:00, 4.41it/s] 100%|██████████| 28/28 [00:06<00:00, 4.40it/s] 100%|██████████| 28/28 [00:06<00:00, 4.45it/s] Total safe images: 1 out of 1
Prediction
vcollos/camis:852de19beb31d169c95b9a526bc20ef3370ae531adeb4f2749401e352a9bb482IDwc46qv6vxxrm80cpmwqs5hhsmrStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- prompt
- Professional portrait of Camila, a 40 years-old blondie dental surgeon, dressed in white in her dental office, in the background we see the modern dental chair blurred, it is a bright and well-lit room. Professional photography 35mm.She is a little overweight, 1.74 meters tall and weighs 80kg.
- 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
- 0.8
- extra_lora_scale
- 1
- num_inference_steps
- 28
{ "model": "dev", "prompt": "Professional portrait of Camila, a 40 years-old blondie dental surgeon, dressed in white in her dental office, in the background we see the modern dental chair blurred, it is a bright and well-lit room. Professional photography 35mm.She is a little overweight, 1.74 meters tall and weighs 80kg.", "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": 0.8, "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"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run vcollos/camis using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "vcollos/camis:852de19beb31d169c95b9a526bc20ef3370ae531adeb4f2749401e352a9bb482", { input: { model: "dev", prompt: "Professional portrait of Camila, a 40 years-old blondie dental surgeon, dressed in white in her dental office, in the background we see the modern dental chair blurred, it is a bright and well-lit room. Professional photography 35mm.She is a little overweight, 1.74 meters tall and weighs 80kg.", 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: 0.8, 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 vcollos/camis using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "vcollos/camis:852de19beb31d169c95b9a526bc20ef3370ae531adeb4f2749401e352a9bb482", input={ "model": "dev", "prompt": "Professional portrait of Camila, a 40 years-old blondie dental surgeon, dressed in white in her dental office, in the background we see the modern dental chair blurred, it is a bright and well-lit room. Professional photography 35mm.She is a little overweight, 1.74 meters tall and weighs 80kg.", "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": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } ) # To access the file URL: print(output[0].url()) #=> "http://example.com" # To write the file to disk: with open("my-image.png", "wb") as file: file.write(output[0].read())
To learn more, take a look at the guide on getting started with Python.
Run vcollos/camis 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": "vcollos/camis:852de19beb31d169c95b9a526bc20ef3370ae531adeb4f2749401e352a9bb482", "input": { "model": "dev", "prompt": "Professional portrait of Camila, a 40 years-old blondie dental surgeon, dressed in white in her dental office, in the background we see the modern dental chair blurred, it is a bright and well-lit room. Professional photography 35mm.She is a little overweight, 1.74 meters tall and weighs 80kg.", "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": 0.8, "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.
You can run this model locally using Cog. First, install Cog:brew install cog
If you don’t have Homebrew, there are other installation options available.
Run this to download the model and run it in your local environment:
cog predict r8.im/vcollos/camis@sha256:852de19beb31d169c95b9a526bc20ef3370ae531adeb4f2749401e352a9bb482 \ -i 'model="dev"' \ -i 'prompt="Professional portrait of Camila, a 40 years-old blondie dental surgeon, dressed in white in her dental office, in the background we see the modern dental chair blurred, it is a bright and well-lit room. Professional photography 35mm.She is a little overweight, 1.74 meters tall and weighs 80kg."' \ -i 'go_fast=false' \ -i 'lora_scale=1' \ -i 'megapixels="1"' \ -i 'num_outputs=1' \ -i 'aspect_ratio="1:1"' \ -i 'output_format="webp"' \ -i 'guidance_scale=3' \ -i 'output_quality=80' \ -i 'prompt_strength=0.8' \ -i 'extra_lora_scale=1' \ -i 'num_inference_steps=28'
To learn more, take a look at the Cog documentation.
Run this to download the model and run it in your local environment:
docker run -d -p 5000:5000 --gpus=all r8.im/vcollos/camis@sha256:852de19beb31d169c95b9a526bc20ef3370ae531adeb4f2749401e352a9bb482
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "model": "dev", "prompt": "Professional portrait of Camila, a 40 years-old blondie dental surgeon, dressed in white in her dental office, in the background we see the modern dental chair blurred, it is a bright and well-lit room. Professional photography 35mm.She is a little overweight, 1.74 meters tall and weighs 80kg.", "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": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 } }' \ http://localhost:5000/predictions
To learn more, take a look at the Cog documentation.
Output
{ "completed_at": "2025-05-06T20:01:00.833920Z", "created_at": "2025-05-06T20:00:53.743000Z", "data_removed": false, "error": null, "id": "wc46qv6vxxrm80cpmwqs5hhsmr", "input": { "model": "dev", "prompt": "Professional portrait of Camila, a 40 years-old blondie dental surgeon, dressed in white in her dental office, in the background we see the modern dental chair blurred, it is a bright and well-lit room. Professional photography 35mm.She is a little overweight, 1.74 meters tall and weighs 80kg.", "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": 0.8, "extra_lora_scale": 1, "num_inference_steps": 28 }, "logs": "free=28853449564160\nDownloading weights\n2025-05-06T20:00:54Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpk_0caz6a/weights url=https://replicate.delivery/xezq/nKEz5kOBfTUxFCthGAywXdu6ZBmSJy3V3hkEo8ukxyXKWnPKA/trained_model.tar\n2025-05-06T20:00:54Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local\n2025-05-06T20:00:54Z | INFO | [ Complete ] dest=/tmp/tmpk_0caz6a/weights size=\"6.3 MB\" total_elapsed=0.141s url=https://replicate.delivery/xezq/nKEz5kOBfTUxFCthGAywXdu6ZBmSJy3V3hkEo8ukxyXKWnPKA/trained_model.tar\nDownloaded weights in 0.15s\nLoaded LoRAs in 0.23s\nUsing seed: 64307\nPrompt: Professional portrait of Camila, a 40 years-old blondie dental surgeon, dressed in white in her dental office, in the background we see the modern dental chair blurred, it is a bright and well-lit room. Professional photography 35mm.She is a little overweight, 1.74 meters tall and weighs 80kg.\n[!] txt2img mode\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:06, 4.44it/s]\n 7%|▋ | 2/28 [00:00<00:04, 5.44it/s]\n 11%|█ | 3/28 [00:00<00:05, 4.94it/s]\n 14%|█▍ | 4/28 [00:00<00:05, 4.73it/s]\n 18%|█▊ | 5/28 [00:01<00:04, 4.62it/s]\n 21%|██▏ | 6/28 [00:01<00:04, 4.56it/s]\n 25%|██▌ | 7/28 [00:01<00:04, 4.52it/s]\n 29%|██▊ | 8/28 [00:01<00:04, 4.49it/s]\n 32%|███▏ | 9/28 [00:01<00:04, 4.48it/s]\n 36%|███▌ | 10/28 [00:02<00:04, 4.47it/s]\n 39%|███▉ | 11/28 [00:02<00:03, 4.46it/s]\n 43%|████▎ | 12/28 [00:02<00:03, 4.45it/s]\n 46%|████▋ | 13/28 [00:02<00:03, 4.45it/s]\n 50%|█████ | 14/28 [00:03<00:03, 4.45it/s]\n 54%|█████▎ | 15/28 [00:03<00:02, 4.45it/s]\n 57%|█████▋ | 16/28 [00:03<00:02, 4.45it/s]\n 61%|██████ | 17/28 [00:03<00:02, 4.44it/s]\n 64%|██████▍ | 18/28 [00:03<00:02, 4.44it/s]\n 68%|██████▊ | 19/28 [00:04<00:02, 4.44it/s]\n 71%|███████▏ | 20/28 [00:04<00:01, 4.44it/s]\n 75%|███████▌ | 21/28 [00:04<00:01, 4.44it/s]\n 79%|███████▊ | 22/28 [00:04<00:01, 4.44it/s]\n 82%|████████▏ | 23/28 [00:05<00:01, 4.44it/s]\n 86%|████████▌ | 24/28 [00:05<00:00, 4.44it/s]\n 89%|████████▉ | 25/28 [00:05<00:00, 4.44it/s]\n 93%|█████████▎| 26/28 [00:05<00:00, 4.44it/s]\n 96%|█████████▋| 27/28 [00:06<00:00, 4.44it/s]\n100%|██████████| 28/28 [00:06<00:00, 4.44it/s]\n100%|██████████| 28/28 [00:06<00:00, 4.49it/s]\nTotal safe images: 1 out of 1", "metrics": { "predict_time": 6.7535389420000005, "total_time": 7.09092 }, "output": [ "https://replicate.delivery/xezq/5sbKNhh1GfyfOEKfnzMMvVtAJcOvnfvXp6ELPW02nJdzHHoSB/out-0.webp" ], "started_at": "2025-05-06T20:00:54.080381Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-x57gn6s5qrp7bgfglsk2ltu76ygejajnrjf6hfyuep2i7rv32koa", "get": "https://api.replicate.com/v1/predictions/wc46qv6vxxrm80cpmwqs5hhsmr", "cancel": "https://api.replicate.com/v1/predictions/wc46qv6vxxrm80cpmwqs5hhsmr/cancel" }, "version": "852de19beb31d169c95b9a526bc20ef3370ae531adeb4f2749401e352a9bb482" }
Generated infree=28853449564160 Downloading weights 2025-05-06T20:00:54Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpk_0caz6a/weights url=https://replicate.delivery/xezq/nKEz5kOBfTUxFCthGAywXdu6ZBmSJy3V3hkEo8ukxyXKWnPKA/trained_model.tar 2025-05-06T20:00:54Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local 2025-05-06T20:00:54Z | INFO | [ Complete ] dest=/tmp/tmpk_0caz6a/weights size="6.3 MB" total_elapsed=0.141s url=https://replicate.delivery/xezq/nKEz5kOBfTUxFCthGAywXdu6ZBmSJy3V3hkEo8ukxyXKWnPKA/trained_model.tar Downloaded weights in 0.15s Loaded LoRAs in 0.23s Using seed: 64307 Prompt: Professional portrait of Camila, a 40 years-old blondie dental surgeon, dressed in white in her dental office, in the background we see the modern dental chair blurred, it is a bright and well-lit room. Professional photography 35mm.She is a little overweight, 1.74 meters tall and weighs 80kg. [!] txt2img mode 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:06, 4.44it/s] 7%|▋ | 2/28 [00:00<00:04, 5.44it/s] 11%|█ | 3/28 [00:00<00:05, 4.94it/s] 14%|█▍ | 4/28 [00:00<00:05, 4.73it/s] 18%|█▊ | 5/28 [00:01<00:04, 4.62it/s] 21%|██▏ | 6/28 [00:01<00:04, 4.56it/s] 25%|██▌ | 7/28 [00:01<00:04, 4.52it/s] 29%|██▊ | 8/28 [00:01<00:04, 4.49it/s] 32%|███▏ | 9/28 [00:01<00:04, 4.48it/s] 36%|███▌ | 10/28 [00:02<00:04, 4.47it/s] 39%|███▉ | 11/28 [00:02<00:03, 4.46it/s] 43%|████▎ | 12/28 [00:02<00:03, 4.45it/s] 46%|████▋ | 13/28 [00:02<00:03, 4.45it/s] 50%|█████ | 14/28 [00:03<00:03, 4.45it/s] 54%|█████▎ | 15/28 [00:03<00:02, 4.45it/s] 57%|█████▋ | 16/28 [00:03<00:02, 4.45it/s] 61%|██████ | 17/28 [00:03<00:02, 4.44it/s] 64%|██████▍ | 18/28 [00:03<00:02, 4.44it/s] 68%|██████▊ | 19/28 [00:04<00:02, 4.44it/s] 71%|███████▏ | 20/28 [00:04<00:01, 4.44it/s] 75%|███████▌ | 21/28 [00:04<00:01, 4.44it/s] 79%|███████▊ | 22/28 [00:04<00:01, 4.44it/s] 82%|████████▏ | 23/28 [00:05<00:01, 4.44it/s] 86%|████████▌ | 24/28 [00:05<00:00, 4.44it/s] 89%|████████▉ | 25/28 [00:05<00:00, 4.44it/s] 93%|█████████▎| 26/28 [00:05<00:00, 4.44it/s] 96%|█████████▋| 27/28 [00:06<00:00, 4.44it/s] 100%|██████████| 28/28 [00:06<00:00, 4.44it/s] 100%|██████████| 28/28 [00:06<00:00, 4.49it/s] Total safe images: 1 out of 1
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