Prediction
fofr/sd3-explorer:ba3320806125ae93991c899010c998e4ee6a9dc6bdd89aeb6ecbd992815650a9ID
pg4r85kd39rgm0cg5dp9e8q56c
Status
Succeeded
Source
Web
Hardware
A40 (Large)
Total duration
Created
by @replicate
Input
- model
- sd3_medium_incl_clips_t5xxlfp16.safetensors
- shift
- 3
- steps
- 28
- width
- 1156
- height
- 768
- prompt
- a man wearing 1980s red and blue paper 3D glasses is sitting on a motorcycle, it is parked in a supermarket parking lot, midday sun, he is wearing a Slipknot t-shirt and has black pants and cowboy boots
- sampler
- dpmpp_2m
- scheduler
- sgm_uniform
- output_format
- webp
- guidance_scale
- 3.5
- output_quality
- 80
- negative_prompt
- number_of_images
- 1
- triple_prompt_t5
- use_triple_prompt
- triple_prompt_clip_g
- triple_prompt_clip_l
- negative_conditioning_end
- 0
- triple_prompt_empty_padding
{
"model": "sd3_medium_incl_clips_t5xxlfp16.safetensors",
"shift": 3,
"steps": 28,
"width": 1156,
"height": 768,
"prompt": "a man wearing 1980s red and blue paper 3D glasses is sitting on a motorcycle, it is parked in a supermarket parking lot, midday sun, he is wearing a Slipknot t-shirt and has black pants and cowboy boots",
"sampler": "dpmpp_2m",
"scheduler": "sgm_uniform",
"output_format": "webp",
"guidance_scale": 3.5,
"output_quality": 80,
"negative_prompt": "",
"number_of_images": 1,
"triple_prompt_t5": "",
"use_triple_prompt": false,
"triple_prompt_clip_g": "",
"triple_prompt_clip_l": "",
"negative_conditioning_end": 0,
"triple_prompt_empty_padding": true
}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 fofr/sd3-explorer using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"fofr/sd3-explorer:ba3320806125ae93991c899010c998e4ee6a9dc6bdd89aeb6ecbd992815650a9",
{
input: {
model: "sd3_medium_incl_clips_t5xxlfp16.safetensors",
shift: 3,
steps: 28,
width: 1156,
height: 768,
prompt: "a man wearing 1980s red and blue paper 3D glasses is sitting on a motorcycle, it is parked in a supermarket parking lot, midday sun, he is wearing a Slipknot t-shirt and has black pants and cowboy boots",
sampler: "dpmpp_2m",
scheduler: "sgm_uniform",
output_format: "webp",
guidance_scale: 3.5,
output_quality: 80,
negative_prompt: "",
number_of_images: 1,
triple_prompt_t5: "",
use_triple_prompt: false,
triple_prompt_clip_g: "",
triple_prompt_clip_l: "",
negative_conditioning_end: 0,
triple_prompt_empty_padding: true
}
}
);
// 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 fofr/sd3-explorer using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"fofr/sd3-explorer:ba3320806125ae93991c899010c998e4ee6a9dc6bdd89aeb6ecbd992815650a9",
input={
"model": "sd3_medium_incl_clips_t5xxlfp16.safetensors",
"shift": 3,
"steps": 28,
"width": 1156,
"height": 768,
"prompt": "a man wearing 1980s red and blue paper 3D glasses is sitting on a motorcycle, it is parked in a supermarket parking lot, midday sun, he is wearing a Slipknot t-shirt and has black pants and cowboy boots",
"sampler": "dpmpp_2m",
"scheduler": "sgm_uniform",
"output_format": "webp",
"guidance_scale": 3.5,
"output_quality": 80,
"negative_prompt": "",
"number_of_images": 1,
"triple_prompt_t5": "",
"use_triple_prompt": False,
"triple_prompt_clip_g": "",
"triple_prompt_clip_l": "",
"negative_conditioning_end": 0,
"triple_prompt_empty_padding": True
}
)
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 fofr/sd3-explorer 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": "ba3320806125ae93991c899010c998e4ee6a9dc6bdd89aeb6ecbd992815650a9",
"input": {
"model": "sd3_medium_incl_clips_t5xxlfp16.safetensors",
"shift": 3,
"steps": 28,
"width": 1156,
"height": 768,
"prompt": "a man wearing 1980s red and blue paper 3D glasses is sitting on a motorcycle, it is parked in a supermarket parking lot, midday sun, he is wearing a Slipknot t-shirt and has black pants and cowboy boots",
"sampler": "dpmpp_2m",
"scheduler": "sgm_uniform",
"output_format": "webp",
"guidance_scale": 3.5,
"output_quality": 80,
"negative_prompt": "",
"number_of_images": 1,
"triple_prompt_t5": "",
"use_triple_prompt": false,
"triple_prompt_clip_g": "",
"triple_prompt_clip_l": "",
"negative_conditioning_end": 0,
"triple_prompt_empty_padding": true
}
}' \
https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{
"completed_at": "2024-06-18T12:57:32.005804Z",
"created_at": "2024-06-18T12:57:24.506000Z",
"data_removed": false,
"error": null,
"id": "pg4r85kd39rgm0cg5dp9e8q56c",
"input": {
"model": "sd3_medium_incl_clips_t5xxlfp16.safetensors",
"shift": 3,
"steps": 28,
"width": 1156,
"height": 768,
"prompt": "a man wearing 1980s red and blue paper 3D glasses is sitting on a motorcycle, it is parked in a supermarket parking lot, midday sun, he is wearing a Slipknot t-shirt and has black pants and cowboy boots",
"sampler": "dpmpp_2m",
"scheduler": "sgm_uniform",
"output_format": "webp",
"guidance_scale": 3.5,
"output_quality": 80,
"negative_prompt": "",
"number_of_images": 1,
"triple_prompt_t5": "",
"use_triple_prompt": false,
"triple_prompt_clip_g": "",
"triple_prompt_clip_l": "",
"negative_conditioning_end": 0,
"triple_prompt_empty_padding": true
},
"logs": "Random seed set to: 3492703348\nChecking weights\n✅ sd3_medium_incl_clips_t5xxlfp16.safetensors exists in ComfyUI/models/checkpoints\n====================================\nRunning workflow\ngot prompt\nExecuting node 275, title: Empty SD3 Latent Image, class type: EmptySD3LatentImage\nExecuting node 271, title: KSampler, class type: KSampler\n 0%| | 0/28 [00:00<?, ?it/s]\n 7%|▋ | 2/28 [00:00<00:05, 5.13it/s]\n 11%|█ | 3/28 [00:00<00:04, 5.15it/s]\n 14%|█▍ | 4/28 [00:00<00:04, 5.16it/s]\n 18%|█▊ | 5/28 [00:00<00:04, 5.11it/s]\n 21%|██▏ | 6/28 [00:01<00:04, 5.10it/s]\n 25%|██▌ | 7/28 [00:01<00:04, 5.13it/s]\n 29%|██▊ | 8/28 [00:01<00:03, 5.16it/s]\n 32%|███▏ | 9/28 [00:01<00:03, 5.17it/s]\n 36%|███▌ | 10/28 [00:01<00:03, 5.17it/s]\n 39%|███▉ | 11/28 [00:02<00:03, 5.16it/s]\n 43%|████▎ | 12/28 [00:02<00:03, 5.16it/s]\n 46%|████▋ | 13/28 [00:02<00:02, 5.17it/s]\n 50%|█████ | 14/28 [00:02<00:02, 5.18it/s]\n 54%|█████▎ | 15/28 [00:02<00:02, 5.17it/s]\n 57%|█████▋ | 16/28 [00:03<00:02, 5.17it/s]\n 61%|██████ | 17/28 [00:03<00:02, 5.17it/s]\n 64%|██████▍ | 18/28 [00:03<00:01, 5.18it/s]\n 68%|██████▊ | 19/28 [00:03<00:01, 5.19it/s]\n 71%|███████▏ | 20/28 [00:03<00:01, 5.18it/s]\n 75%|███████▌ | 21/28 [00:04<00:01, 5.18it/s]\n 79%|███████▊ | 22/28 [00:04<00:01, 5.18it/s]\n 82%|████████▏ | 23/28 [00:04<00:00, 5.18it/s]\n 86%|████████▌ | 24/28 [00:04<00:00, 5.19it/s]\n 89%|████████▉ | 25/28 [00:04<00:00, 5.19it/s]\n 93%|█████████▎| 26/28 [00:05<00:00, 5.18it/s]\n 96%|█████████▋| 27/28 [00:05<00:00, 5.17it/s]\n100%|██████████| 28/28 [00:05<00:00, 5.18it/s]\n100%|██████████| 28/28 [00:05<00:00, 5.17it/s]\nExecuting node 231, title: VAE Decode, class type: VAEDecode\nExecuting node 273, title: Save Image, class type: SaveImage\nPrompt executed in 5.79 seconds\noutputs: {'273': {'images': [{'filename': 'SD3_00001_.png', 'subfolder': '', 'type': 'output'}]}}\n====================================\nSD3_00001_.png",
"metrics": {
"predict_time": 7.451431904,
"total_time": 7.499804
},
"output": [
"https://replicate.delivery/pbxt/b8ZCrjdSpvK3OFPyHjHL0l3prE4kornqncQEtN8E3KmO28vE/SD3_00001_.webp"
],
"started_at": "2024-06-18T12:57:24.554372Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/pg4r85kd39rgm0cg5dp9e8q56c",
"cancel": "https://api.replicate.com/v1/predictions/pg4r85kd39rgm0cg5dp9e8q56c/cancel"
},
"version": "ba3320806125ae93991c899010c998e4ee6a9dc6bdd89aeb6ecbd992815650a9"
}Generated in
Random seed set to: 3492703348
Checking weights
✅ sd3_medium_incl_clips_t5xxlfp16.safetensors exists in ComfyUI/models/checkpoints
====================================
Running workflow
got prompt
Executing node 275, title: Empty SD3 Latent Image, class type: EmptySD3LatentImage
Executing node 271, title: KSampler, class type: KSampler
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Executing node 231, title: VAE Decode, class type: VAEDecode
Executing node 273, title: Save Image, class type: SaveImage
Prompt executed in 5.79 seconds
outputs: {'273': {'images': [{'filename': 'SD3_00001_.png', 'subfolder': '', 'type': 'output'}]}}
====================================
SD3_00001_.png