Failed to load versions. Head to the versions page to see all versions for this model.
You're looking at a specific version of this model. Jump to the model overview.
prompthero /dreamshaper:6197db9c
Input
Run this model in Node.js with one line of code:
npm install replicate
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
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.
pip install replicate
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import replicate
Run 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.
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/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Add a payment method to run this model.
By signing in, you agree to our
terms of service and privacy policy
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"
}
Using seed: 37263
0%| | 0/50 [00:00<?, ?it/s]
2%|▏ | 1/50 [00:00<00:25, 1.89it/s]
4%|▍ | 2/50 [00:01<00:23, 2.02it/s]
6%|▌ | 3/50 [00:01<00:23, 2.04it/s]
8%|▊ | 4/50 [00:01<00:22, 2.06it/s]
10%|█ | 5/50 [00:02<00:21, 2.08it/s]
12%|█▏ | 6/50 [00:02<00:21, 2.07it/s]
14%|█▍ | 7/50 [00:03<00:20, 2.07it/s]
16%|█▌ | 8/50 [00:03<00:20, 2.06it/s]
18%|█▊ | 9/50 [00:04<00:19, 2.06it/s]
20%|██ | 10/50 [00:04<00:19, 2.06it/s]
22%|██▏ | 11/50 [00:05<00:18, 2.06it/s]
24%|██▍ | 12/50 [00:05<00:18, 2.06it/s]
26%|██▌ | 13/50 [00:06<00:18, 2.05it/s]
28%|██▊ | 14/50 [00:06<00:17, 2.05it/s]
30%|███ | 15/50 [00:07<00:17, 2.04it/s]
32%|███▏ | 16/50 [00:07<00:16, 2.04it/s]
34%|███▍ | 17/50 [00:08<00:16, 2.04it/s]
36%|███▌ | 18/50 [00:08<00:15, 2.03it/s]
38%|███▊ | 19/50 [00:09<00:15, 2.02it/s]
40%|████ | 20/50 [00:09<00:14, 2.03it/s]
42%|████▏ | 21/50 [00:10<00:14, 2.03it/s]
44%|████▍ | 22/50 [00:10<00:13, 2.02it/s]
46%|████▌ | 23/50 [00:11<00:13, 2.02it/s]
48%|████▊ | 24/50 [00:11<00:12, 2.01it/s]
50%|█████ | 25/50 [00:12<00:12, 2.02it/s]
52%|█████▏ | 26/50 [00:12<00:11, 2.01it/s]
54%|█████▍ | 27/50 [00:13<00:11, 2.00it/s]
56%|█████▌ | 28/50 [00:13<00:10, 2.00it/s]
58%|█████▊ | 29/50 [00:14<00:10, 2.00it/s]
60%|██████ | 30/50 [00:14<00:10, 1.99it/s]
62%|██████▏ | 31/50 [00:15<00:09, 1.99it/s]
64%|██████▍ | 32/50 [00:15<00:09, 1.98it/s]
66%|██████▌ | 33/50 [00:16<00:08, 1.98it/s]
68%|██████▊ | 34/50 [00:16<00:08, 1.98it/s]
70%|███████ | 35/50 [00:17<00:07, 1.99it/s]
72%|███████▏ | 36/50 [00:17<00:07, 1.98it/s]
74%|███████▍ | 37/50 [00:18<00:06, 1.98it/s]
76%|███████▌ | 38/50 [00:18<00:06, 1.98it/s]
78%|███████▊ | 39/50 [00:19<00:05, 1.98it/s]
80%|████████ | 40/50 [00:19<00:05, 1.97it/s]
82%|████████▏ | 41/50 [00:20<00:04, 1.97it/s]
84%|████████▍ | 42/50 [00:20<00:04, 1.97it/s]
86%|████████▌ | 43/50 [00:21<00:03, 1.96it/s]
88%|████████▊ | 44/50 [00:21<00:03, 1.96it/s]
90%|█████████ | 45/50 [00:22<00:02, 1.97it/s]
92%|█████████▏| 46/50 [00:22<00:02, 1.97it/s]
94%|█████████▍| 47/50 [00:23<00:01, 1.97it/s]
96%|█████████▌| 48/50 [00:23<00:01, 1.97it/s]
98%|█████████▊| 49/50 [00:24<00:00, 1.97it/s]
100%|██████████| 50/50 [00:24<00:00, 1.97it/s]
100%|██████████| 50/50 [00:24<00:00, 2.01it/s]