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brucecris
/
bruce1
The first Bruce model.
- Public
- 10 runs
-
H100
Input
Run this model in Node.js with one line of code:
npx create-replicate --model=brucecris/bruce1
or set up a project from scratch
Install Replicate’s Node.js client library:
npm install replicateSet the
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import and set up the client:
import Replicate from "replicate";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});Run brucecris/bruce1 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"brucecris/bruce1:1e388f43f63564d517b0454152877010447e625bc6f9a8f1d19dec2f9c0c5719",
{
input: {
model: "dev",
prompt: "“Model” standing on a beach looking away from the camera. ",
go_fast: false,
lora_scale: 2,
megapixels: "1",
num_outputs: 4,
aspect_ratio: "1:1",
output_format: "png",
guidance_scale: 10,
output_quality: 80,
prompt_strength: 0.8,
extra_lora_scale: 1,
num_inference_steps: 50
}
}
);
// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"
// To write the file to disk:
fs.writeFile("my-image.png", output[0]);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:
pip install replicateSet the
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import the client:
import replicateRun brucecris/bruce1 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"brucecris/bruce1:1e388f43f63564d517b0454152877010447e625bc6f9a8f1d19dec2f9c0c5719",
input={
"model": "dev",
"prompt": "“Model” standing on a beach looking away from the camera. ",
"go_fast": False,
"lora_scale": 2,
"megapixels": "1",
"num_outputs": 4,
"aspect_ratio": "1:1",
"output_format": "png",
"guidance_scale": 10,
"output_quality": 80,
"prompt_strength": 0.8,
"extra_lora_scale": 1,
"num_inference_steps": 50
}
)
print(output)To learn more, take a look at the guide on getting started with Python.
Set the
REPLICATE_API_TOKEN environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Run brucecris/bruce1 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": "1e388f43f63564d517b0454152877010447e625bc6f9a8f1d19dec2f9c0c5719",
"input": {
"model": "dev",
"prompt": "“Model” standing on a beach looking away from the camera. ",
"go_fast": false,
"lora_scale": 2,
"megapixels": "1",
"num_outputs": 4,
"aspect_ratio": "1:1",
"output_format": "png",
"guidance_scale": 10,
"output_quality": 80,
"prompt_strength": 0.8,
"extra_lora_scale": 1,
"num_inference_steps": 50
}
}' \
https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Add a payment method to run this model.
Sign in with GitHub
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terms of service and privacy policy
Output
{
"completed_at": "2024-08-23T15:34:40.949382Z",
"created_at": "2024-08-23T15:33:36.781000Z",
"data_removed": false,
"error": null,
"id": "3kwbq897hnrm60chfzfvb2mm80",
"input": {
"model": "dev",
"prompt": "“Model” standing on a beach looking away from the camera. ",
"lora_scale": 2,
"num_outputs": 4,
"aspect_ratio": "1:1",
"output_format": "png",
"guidance_scale": 10,
"output_quality": 80,
"num_inference_steps": 50
},
"logs": "Using seed: 57072\nPrompt: “Model” standing on a beach looking away from the camera.\ntxt2img mode\nUsing dev model\nLoading LoRA weights\nLoRA weights loaded successfully\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:01<00:49, 1.02s/it]\n 4%|▍ | 2/50 [00:01<00:43, 1.11it/s]\n 6%|▌ | 3/50 [00:02<00:44, 1.05it/s]\n 8%|▊ | 4/50 [00:03<00:45, 1.02it/s]\n 10%|█ | 5/50 [00:04<00:44, 1.00it/s]\n 12%|█▏ | 6/50 [00:05<00:44, 1.00s/it]\n 14%|█▍ | 7/50 [00:06<00:43, 1.01s/it]\n 16%|█▌ | 8/50 [00:07<00:42, 1.01s/it]\n 18%|█▊ | 9/50 [00:08<00:41, 1.01s/it]\n 20%|██ | 10/50 [00:09<00:40, 1.01s/it]\n 22%|██▏ | 11/50 [00:11<00:39, 1.02s/it]\n 24%|██▍ | 12/50 [00:12<00:38, 1.02s/it]\n 26%|██▌ | 13/50 [00:13<00:37, 1.02s/it]\n 28%|██▊ | 14/50 [00:14<00:36, 1.02s/it]\n 30%|███ | 15/50 [00:15<00:35, 1.02s/it]\n 32%|███▏ | 16/50 [00:16<00:34, 1.02s/it]\n 34%|███▍ | 17/50 [00:17<00:33, 1.02s/it]\n 36%|███▌ | 18/50 [00:18<00:32, 1.02s/it]\n 38%|███▊ | 19/50 [00:19<00:31, 1.02s/it]\n 40%|████ | 20/50 [00:20<00:30, 1.02s/it]\n 42%|████▏ | 21/50 [00:21<00:29, 1.02s/it]\n 44%|████▍ | 22/50 [00:22<00:28, 1.02s/it]\n 46%|████▌ | 23/50 [00:23<00:27, 1.02s/it]\n 48%|████▊ | 24/50 [00:24<00:26, 1.02s/it]\n 50%|█████ | 25/50 [00:25<00:25, 1.02s/it]\n 52%|█████▏ | 26/50 [00:26<00:24, 1.02s/it]\n 54%|█████▍ | 27/50 [00:27<00:23, 1.02s/it]\n 56%|█████▌ | 28/50 [00:28<00:22, 1.02s/it]\n 58%|█████▊ | 29/50 [00:29<00:21, 1.02s/it]\n 60%|██████ | 30/50 [00:30<00:20, 1.02s/it]\n 62%|██████▏ | 31/50 [00:31<00:19, 1.02s/it]\n 64%|██████▍ | 32/50 [00:32<00:18, 1.02s/it]\n 66%|██████▌ | 33/50 [00:33<00:17, 1.02s/it]\n 68%|██████▊ | 34/50 [00:34<00:16, 1.02s/it]\n 70%|███████ | 35/50 [00:35<00:15, 1.02s/it]\n 72%|███████▏ | 36/50 [00:36<00:14, 1.02s/it]\n 74%|███████▍ | 37/50 [00:37<00:13, 1.02s/it]\n 76%|███████▌ | 38/50 [00:38<00:12, 1.02s/it]\n 78%|███████▊ | 39/50 [00:39<00:11, 1.02s/it]\n 80%|████████ | 40/50 [00:40<00:10, 1.02s/it]\n 82%|████████▏ | 41/50 [00:41<00:09, 1.02s/it]\n 84%|████████▍ | 42/50 [00:42<00:08, 1.02s/it]\n 86%|████████▌ | 43/50 [00:43<00:07, 1.02s/it]\n 88%|████████▊ | 44/50 [00:44<00:06, 1.02s/it]\n 90%|█████████ | 45/50 [00:45<00:05, 1.02s/it]\n 92%|█████████▏| 46/50 [00:46<00:04, 1.02s/it]\n 94%|█████████▍| 47/50 [00:47<00:03, 1.02s/it]\n 96%|█████████▌| 48/50 [00:48<00:02, 1.02s/it]\n 98%|█████████▊| 49/50 [00:49<00:01, 1.02s/it]\n100%|██████████| 50/50 [00:50<00:00, 1.02s/it]\n100%|██████████| 50/50 [00:50<00:00, 1.02s/it]\nPotential NSFW content was detected in one or more images. A black image will be returned instead. Try again with a different prompt and/or seed.\nNSFW content detected in image 2\nNSFW content detected in image 3",
"metrics": {
"predict_time": 61.578703878,
"total_time": 64.168382
},
"output": [
"https://replicate.delivery/yhqm/tIVKNCOM4X6yFFCC3lLiyeHssYP8NUar0eqkKmDrGkLQ4lVTA/out-0.png",
"https://replicate.delivery/yhqm/U3Hfy6H6iiT4diW89fAvO3Nf2uGxeeVgdTvUjiPxeCqJEeyqJA/out-1.png"
],
"started_at": "2024-08-23T15:33:39.370678Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/3kwbq897hnrm60chfzfvb2mm80",
"cancel": "https://api.replicate.com/v1/predictions/3kwbq897hnrm60chfzfvb2mm80/cancel"
},
"version": "1e388f43f63564d517b0454152877010447e625bc6f9a8f1d19dec2f9c0c5719"
}Generated in
Using seed: 57072
Prompt: “Model” standing on a beach looking away from the camera.
txt2img mode
Using dev model
Loading LoRA weights
LoRA weights loaded successfully
0%| | 0/50 [00:00<?, ?it/s]
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Potential NSFW content was detected in one or more images. A black image will be returned instead. Try again with a different prompt and/or seed.
NSFW content detected in image 2
NSFW content detected in image 3Examples
Run time and cost
This model runs on Nvidia H100 GPU hardware. We don't yet have enough runs of this model to provide performance information.