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prompthero
/
dreamshaper
Generate a new image given any input text with Dreamshaper v7
- Public
- 325.9K runs
-
A100 (80GB)
Input
Run this model in Node.js with one line of code:
npx create-replicate --model=prompthero/dreamshaper
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 prompthero/dreamshaper using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"prompthero/dreamshaper:6197db9cdf865a7349acaf20a7d20fe657d9c04cc0c478ec2b23565542715b95",
{
input: {
width: 512,
height: 512,
prompt: "8k portrait of beautiful cyborg with brown hair, intricate, elegant, highly detailed, majestic, digital photography, art by artgerm and ruan jia and greg rutkowski surreal painting gold butterfly filigree, broken glass, (masterpiece, sidelighting, finely detailed beautiful eyes: 1.2), hdr",
scheduler: "DPMSolverMultistep",
num_outputs: 1,
guidance_scale: 7,
negative_prompt: "(worst quality:2),(low quality:2),(blurry:2),bad_prompt,text, (bad and mutated hands:1.3),(bad hands),badhandv4,mutated hands, bad anatomy, missing fingers,extra fingers,fused fingers,too many fingers,(interlocked fingers:1.2), extra limbs,malformed limbs,multiple limbs, extra arms, extra legs, long neck, cross-eyed, negative_hand, negative_hand-neg, text, label, caption",
prompt_strength: 0.8,
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 prompthero/dreamshaper using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"prompthero/dreamshaper:6197db9cdf865a7349acaf20a7d20fe657d9c04cc0c478ec2b23565542715b95",
input={
"width": 512,
"height": 512,
"prompt": "8k portrait of beautiful cyborg with brown hair, intricate, elegant, highly detailed, majestic, digital photography, art by artgerm and ruan jia and greg rutkowski surreal painting gold butterfly filigree, broken glass, (masterpiece, sidelighting, finely detailed beautiful eyes: 1.2), hdr",
"scheduler": "DPMSolverMultistep",
"num_outputs": 1,
"guidance_scale": 7,
"negative_prompt": "(worst quality:2),(low quality:2),(blurry:2),bad_prompt,text, (bad and mutated hands:1.3),(bad hands),badhandv4,mutated hands, bad anatomy, missing fingers,extra fingers,fused fingers,too many fingers,(interlocked fingers:1.2), extra limbs,malformed limbs,multiple limbs, extra arms, extra legs, long neck, cross-eyed, negative_hand, negative_hand-neg, text, label, caption",
"prompt_strength": 0.8,
"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 prompthero/dreamshaper 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": "6197db9cdf865a7349acaf20a7d20fe657d9c04cc0c478ec2b23565542715b95",
"input": {
"width": 512,
"height": 512,
"prompt": "8k portrait of beautiful cyborg with brown hair, intricate, elegant, highly detailed, majestic, digital photography, art by artgerm and ruan jia and greg rutkowski surreal painting gold butterfly filigree, broken glass, (masterpiece, sidelighting, finely detailed beautiful eyes: 1.2), hdr",
"scheduler": "DPMSolverMultistep",
"num_outputs": 1,
"guidance_scale": 7,
"negative_prompt": "(worst quality:2),(low quality:2),(blurry:2),bad_prompt,text, (bad and mutated hands:1.3),(bad hands),badhandv4,mutated hands, bad anatomy, missing fingers,extra fingers,fused fingers,too many fingers,(interlocked fingers:1.2), extra limbs,malformed limbs,multiple limbs, extra arms, extra legs, long neck, cross-eyed, negative_hand, negative_hand-neg, text, label, caption",
"prompt_strength": 0.8,
"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.
Each run costs approximately $0.036. Alternatively, try out our featured models for free.
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Output
{
"completed_at": "2023-07-07T06:49:42.823511Z",
"created_at": "2023-07-07T06:49:16.497984Z",
"data_removed": false,
"error": null,
"id": "wt4ywsrb7bhj24t2ynky4d7cym",
"input": {
"width": 512,
"height": 512,
"prompt": "8k portrait of beautiful cyborg with brown hair, intricate, elegant, highly detailed, majestic, digital photography, art by artgerm and ruan jia and greg rutkowski surreal painting gold butterfly filigree, broken glass, (masterpiece, sidelighting, finely detailed beautiful eyes: 1.2), hdr",
"scheduler": "DPMSolverMultistep",
"num_outputs": 1,
"guidance_scale": 7,
"negative_prompt": "(worst quality:2),(low quality:2),(blurry:2),bad_prompt,text, (bad and mutated hands:1.3),(bad hands),badhandv4,mutated hands, bad anatomy, missing fingers,extra fingers,fused fingers,too many fingers,(interlocked fingers:1.2), extra limbs,malformed limbs,multiple limbs, extra arms, extra legs, long neck, cross-eyed, negative_hand, negative_hand-neg, text, label, caption",
"prompt_strength": 0.8,
"num_inference_steps": 50
},
"logs": "Using seed: 37263\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:25, 1.89it/s]\n 4%|▍ | 2/50 [00:01<00:23, 2.02it/s]\n 6%|▌ | 3/50 [00:01<00:23, 2.04it/s]\n 8%|▊ | 4/50 [00:01<00:22, 2.06it/s]\n 10%|█ | 5/50 [00:02<00:21, 2.08it/s]\n 12%|█▏ | 6/50 [00:02<00:21, 2.07it/s]\n 14%|█▍ | 7/50 [00:03<00:20, 2.07it/s]\n 16%|█▌ | 8/50 [00:03<00:20, 2.06it/s]\n 18%|█▊ | 9/50 [00:04<00:19, 2.06it/s]\n 20%|██ | 10/50 [00:04<00:19, 2.06it/s]\n 22%|██▏ | 11/50 [00:05<00:18, 2.06it/s]\n 24%|██▍ | 12/50 [00:05<00:18, 2.06it/s]\n 26%|██▌ | 13/50 [00:06<00:18, 2.05it/s]\n 28%|██▊ | 14/50 [00:06<00:17, 2.05it/s]\n 30%|███ | 15/50 [00:07<00:17, 2.04it/s]\n 32%|███▏ | 16/50 [00:07<00:16, 2.04it/s]\n 34%|███▍ | 17/50 [00:08<00:16, 2.04it/s]\n 36%|███▌ | 18/50 [00:08<00:15, 2.03it/s]\n 38%|███▊ | 19/50 [00:09<00:15, 2.02it/s]\n 40%|████ | 20/50 [00:09<00:14, 2.03it/s]\n 42%|████▏ | 21/50 [00:10<00:14, 2.03it/s]\n 44%|████▍ | 22/50 [00:10<00:13, 2.02it/s]\n 46%|████▌ | 23/50 [00:11<00:13, 2.02it/s]\n 48%|████▊ | 24/50 [00:11<00:12, 2.01it/s]\n 50%|█████ | 25/50 [00:12<00:12, 2.02it/s]\n 52%|█████▏ | 26/50 [00:12<00:11, 2.01it/s]\n 54%|█████▍ | 27/50 [00:13<00:11, 2.00it/s]\n 56%|█████▌ | 28/50 [00:13<00:10, 2.00it/s]\n 58%|█████▊ | 29/50 [00:14<00:10, 2.00it/s]\n 60%|██████ | 30/50 [00:14<00:10, 1.99it/s]\n 62%|██████▏ | 31/50 [00:15<00:09, 1.99it/s]\n 64%|██████▍ | 32/50 [00:15<00:09, 1.98it/s]\n 66%|██████▌ | 33/50 [00:16<00:08, 1.98it/s]\n 68%|██████▊ | 34/50 [00:16<00:08, 1.98it/s]\n 70%|███████ | 35/50 [00:17<00:07, 1.99it/s]\n 72%|███████▏ | 36/50 [00:17<00:07, 1.98it/s]\n 74%|███████▍ | 37/50 [00:18<00:06, 1.98it/s]\n 76%|███████▌ | 38/50 [00:18<00:06, 1.98it/s]\n 78%|███████▊ | 39/50 [00:19<00:05, 1.98it/s]\n 80%|████████ | 40/50 [00:19<00:05, 1.97it/s]\n 82%|████████▏ | 41/50 [00:20<00:04, 1.97it/s]\n 84%|████████▍ | 42/50 [00:20<00:04, 1.97it/s]\n 86%|████████▌ | 43/50 [00:21<00:03, 1.96it/s]\n 88%|████████▊ | 44/50 [00:21<00:03, 1.96it/s]\n 90%|█████████ | 45/50 [00:22<00:02, 1.97it/s]\n 92%|█████████▏| 46/50 [00:22<00:02, 1.97it/s]\n 94%|█████████▍| 47/50 [00:23<00:01, 1.97it/s]\n 96%|█████████▌| 48/50 [00:23<00:01, 1.97it/s]\n 98%|█████████▊| 49/50 [00:24<00:00, 1.97it/s]\n100%|██████████| 50/50 [00:24<00:00, 1.97it/s]\n100%|██████████| 50/50 [00:24<00:00, 2.01it/s]",
"metrics": {
"predict_time": 26.360306,
"total_time": 26.325527
},
"output": [
"https://replicate.delivery/pbxt/iowJW7fddKR0SyOz9l5b5dagFhq4au7VeEuvnfpPxI6N8saiA/out-0.png"
],
"started_at": "2023-07-07T06:49:16.463205Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/wt4ywsrb7bhj24t2ynky4d7cym",
"cancel": "https://api.replicate.com/v1/predictions/wt4ywsrb7bhj24t2ynky4d7cym/cancel"
},
"version": "6197db9cdf865a7349acaf20a7d20fe657d9c04cc0c478ec2b23565542715b95"
}Generated in
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Run time and cost
This model costs approximately $0.036 to run on Replicate, or 27 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.
This model runs on Nvidia A100 (80GB) GPU hardware. Predictions typically complete within 26 seconds. The predict time for this model varies significantly based on the inputs.