Prediction
stability-ai/stable-diffusion-3Official model
ID
h82cnfj2mxrh60cg4akr9bn5sg
Status
Succeeded
Source
Web
Total duration
Created
by @janghaludu
Input
- cfg
- 4.49
- prompt
- 4K photo, Nordic minimalism, Medium length photo of a woman showing hands
- aspect_ratio
- 2:3
- output_format
- webp
- output_quality
- 100
- negative_prompt
- fingers, hands, penis, vagina, sex, boobs, pussy, breasts, nipples, laying
{
"cfg": 4.49,
"prompt": "4K photo, Nordic minimalism, Medium length photo of a woman showing hands",
"aspect_ratio": "2:3",
"output_format": "webp",
"output_quality": 100,
"negative_prompt": "fingers, hands, penis, vagina, sex, boobs, pussy, breasts, nipples, laying"
}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 stability-ai/stable-diffusion-3 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const input = {
cfg: 4.49,
prompt: "4K photo, Nordic minimalism, Medium length photo of a woman showing hands",
aspect_ratio: "2:3",
output_format: "webp",
output_quality: 100,
negative_prompt: "fingers, hands, penis, vagina, sex, boobs, pussy, breasts, nipples, laying"
};
const output = await replicate.run("stability-ai/stable-diffusion-3", { input });
console.log(output);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 stability-ai/stable-diffusion-3 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"stability-ai/stable-diffusion-3",
input={
"cfg": 4.49,
"prompt": "4K photo, Nordic minimalism, Medium length photo of a woman showing hands",
"aspect_ratio": "2:3",
"output_format": "webp",
"output_quality": 100,
"negative_prompt": "fingers, hands, penis, vagina, sex, boobs, pussy, breasts, nipples, laying"
}
)
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 stability-ai/stable-diffusion-3 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 $'{
"input": {
"cfg": 4.49,
"prompt": "4K photo, Nordic minimalism, Medium length photo of a woman showing hands",
"aspect_ratio": "2:3",
"output_format": "webp",
"output_quality": 100,
"negative_prompt": "fingers, hands, penis, vagina, sex, boobs, pussy, breasts, nipples, laying"
}
}' \
https://api.replicate.com/v1/models/stability-ai/stable-diffusion-3/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{
"completed_at": "2024-06-16T20:05:11.790766Z",
"created_at": "2024-06-16T20:05:05.319000Z",
"data_removed": false,
"error": null,
"id": "h82cnfj2mxrh60cg4akr9bn5sg",
"input": {
"cfg": 4.49,
"prompt": "4K photo, Nordic minimalism, Medium length photo of a woman showing hands",
"aspect_ratio": "2:3",
"output_format": "webp",
"output_quality": 100,
"negative_prompt": "fingers, hands, penis, vagina, sex, boobs, pussy, breasts, nipples, laying"
},
"logs": "Random seed set to: 1263678300\nRunning workflow\ngot prompt\nExecuting node 6, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode\nExecuting node 71, title: CLIP Text Encode (Negative Prompt), class type: CLIPTextEncode\nExecuting node 67, title: ConditioningZeroOut, class type: ConditioningZeroOut\nExecuting node 68, title: ConditioningSetTimestepRange, class type: ConditioningSetTimestepRange\nExecuting node 70, title: ConditioningSetTimestepRange, class type: ConditioningSetTimestepRange\nExecuting node 69, title: Conditioning (Combine), class type: ConditioningCombine\nExecuting node 135, title: EmptySD3LatentImage, class type: EmptySD3LatentImage\nExecuting node 271, title: KSampler, class type: KSampler\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:00<00:03, 8.26it/s]\n 7%|▋ | 2/28 [00:00<00:03, 7.17it/s]\n 14%|█▍ | 4/28 [00:00<00:02, 9.12it/s]\n 21%|██▏ | 6/28 [00:00<00:02, 9.88it/s]\n 29%|██▊ | 8/28 [00:00<00:01, 10.25it/s]\n 36%|███▌ | 10/28 [00:01<00:01, 10.46it/s]\n 43%|████▎ | 12/28 [00:01<00:01, 10.58it/s]\n 50%|█████ | 14/28 [00:01<00:01, 10.67it/s]\n 57%|█████▋ | 16/28 [00:01<00:01, 10.72it/s]\n 64%|██████▍ | 18/28 [00:01<00:00, 10.74it/s]\n 71%|███████▏ | 20/28 [00:01<00:00, 10.79it/s]\n 79%|███████▊ | 22/28 [00:02<00:00, 10.81it/s]\n 86%|████████▌ | 24/28 [00:02<00:00, 10.81it/s]\n 93%|█████████▎| 26/28 [00:02<00:00, 10.79it/s]\n100%|██████████| 28/28 [00:02<00:00, 10.82it/s]\n100%|██████████| 28/28 [00:02<00:00, 10.48it/s]\nExecuting node 231, title: VAE Decode, class type: VAEDecode\nExecuting node 273, title: Save Image, class type: SaveImage\nPrompt executed in 5.83 seconds\noutputs: {'273': {'images': [{'filename': 'R8_SD3_00001_.png', 'subfolder': '', 'type': 'output'}]}}\n====================================\nR8_SD3_00001_.png",
"metrics": {
"predict_time": 6.457178279,
"total_time": 6.471766
},
"output": [
"https://replicate.delivery/pbxt/cSTjkzSWZZ6eRSStrn5T382sJSFwV2MCX1PKAkipX1i7unfSA/R8_SD3_00001_.webp"
],
"started_at": "2024-06-16T20:05:05.333588Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/h82cnfj2mxrh60cg4akr9bn5sg",
"cancel": "https://api.replicate.com/v1/predictions/h82cnfj2mxrh60cg4akr9bn5sg/cancel"
},
"version": "hidden"
}Generated in
Random seed set to: 1263678300
Running workflow
got prompt
Executing node 6, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode
Executing node 71, title: CLIP Text Encode (Negative Prompt), class type: CLIPTextEncode
Executing node 67, title: ConditioningZeroOut, class type: ConditioningZeroOut
Executing node 68, title: ConditioningSetTimestepRange, class type: ConditioningSetTimestepRange
Executing node 70, title: ConditioningSetTimestepRange, class type: ConditioningSetTimestepRange
Executing node 69, title: Conditioning (Combine), class type: ConditioningCombine
Executing node 135, title: EmptySD3LatentImage, class type: EmptySD3LatentImage
Executing node 271, title: KSampler, class type: KSampler
0%| | 0/28 [00:00<?, ?it/s]
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7%|▋ | 2/28 [00:00<00:03, 7.17it/s]
14%|█▍ | 4/28 [00:00<00:02, 9.12it/s]
21%|██▏ | 6/28 [00:00<00:02, 9.88it/s]
29%|██▊ | 8/28 [00:00<00:01, 10.25it/s]
36%|███▌ | 10/28 [00:01<00:01, 10.46it/s]
43%|████▎ | 12/28 [00:01<00:01, 10.58it/s]
50%|█████ | 14/28 [00:01<00:01, 10.67it/s]
57%|█████▋ | 16/28 [00:01<00:01, 10.72it/s]
64%|██████▍ | 18/28 [00:01<00:00, 10.74it/s]
71%|███████▏ | 20/28 [00:01<00:00, 10.79it/s]
79%|███████▊ | 22/28 [00:02<00:00, 10.81it/s]
86%|████████▌ | 24/28 [00:02<00:00, 10.81it/s]
93%|█████████▎| 26/28 [00:02<00:00, 10.79it/s]
100%|██████████| 28/28 [00:02<00:00, 10.82it/s]
100%|██████████| 28/28 [00:02<00:00, 10.48it/s]
Executing node 231, title: VAE Decode, class type: VAEDecode
Executing node 273, title: Save Image, class type: SaveImage
Prompt executed in 5.83 seconds
outputs: {'273': {'images': [{'filename': 'R8_SD3_00001_.png', 'subfolder': '', 'type': 'output'}]}}
====================================
R8_SD3_00001_.png