Prediction
fofr/sd3-explorer:ba3320806125ae93991c899010c998e4ee6a9dc6bdd89aeb6ecbd992815650a9ID
vhbjm0qva5rgp0cg5devah6n34
Status
Succeeded
Source
Web
Hardware
A40 (Large)
Total duration
Created
by @fofr
Input
- seed
- 20
- model
- sd3_medium_incl_clips_t5xxlfp16.safetensors
- shift
- 3
- steps
- 32
- width
- 1024
- height
- 1024
- prompt
- a closeup photo of a man standing in a forest
- sampler
- dpmpp_2m
- scheduler
- sgm_uniform
- output_format
- webp
- guidance_scale
- 4.5
- 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
{
"seed": 20,
"model": "sd3_medium_incl_clips_t5xxlfp16.safetensors",
"shift": 3,
"steps": 32,
"width": 1024,
"height": 1024,
"prompt": "a closeup photo of a man standing in a forest",
"sampler": "dpmpp_2m",
"scheduler": "sgm_uniform",
"output_format": "webp",
"guidance_scale": 4.5,
"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: {
seed: 20,
model: "sd3_medium_incl_clips_t5xxlfp16.safetensors",
shift: 3,
steps: 32,
width: 1024,
height: 1024,
prompt: "a closeup photo of a man standing in a forest",
sampler: "dpmpp_2m",
scheduler: "sgm_uniform",
output_format: "webp",
guidance_scale: 4.5,
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={
"seed": 20,
"model": "sd3_medium_incl_clips_t5xxlfp16.safetensors",
"shift": 3,
"steps": 32,
"width": 1024,
"height": 1024,
"prompt": "a closeup photo of a man standing in a forest",
"sampler": "dpmpp_2m",
"scheduler": "sgm_uniform",
"output_format": "webp",
"guidance_scale": 4.5,
"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": {
"seed": 20,
"model": "sd3_medium_incl_clips_t5xxlfp16.safetensors",
"shift": 3,
"steps": 32,
"width": 1024,
"height": 1024,
"prompt": "a closeup photo of a man standing in a forest",
"sampler": "dpmpp_2m",
"scheduler": "sgm_uniform",
"output_format": "webp",
"guidance_scale": 4.5,
"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.
You can run this model locally using Cog. First, install Cog:
brew install cogIf you don’t have Homebrew, there are other installation options available.
Run this to download the model and run it in your local environment:
cog predict r8.im/fofr/sd3-explorer@sha256:ba3320806125ae93991c899010c998e4ee6a9dc6bdd89aeb6ecbd992815650a9 \
-i 'seed=20' \
-i 'model="sd3_medium_incl_clips_t5xxlfp16.safetensors"' \
-i 'shift=3' \
-i 'steps=32' \
-i 'width=1024' \
-i 'height=1024' \
-i 'prompt="a closeup photo of a man standing in a forest"' \
-i 'sampler="dpmpp_2m"' \
-i 'scheduler="sgm_uniform"' \
-i 'output_format="webp"' \
-i 'guidance_scale=4.5' \
-i 'output_quality=80' \
-i 'negative_prompt=""' \
-i 'number_of_images=1' \
-i 'triple_prompt_t5=""' \
-i 'use_triple_prompt=false' \
-i 'triple_prompt_clip_g=""' \
-i 'triple_prompt_clip_l=""' \
-i 'negative_conditioning_end=0' \
-i 'triple_prompt_empty_padding=true'To learn more, take a look at the Cog documentation.
Run this to download the model and run it in your local environment:
docker run -d -p 5000:5000 --gpus=all r8.im/fofr/sd3-explorer@sha256:ba3320806125ae93991c899010c998e4ee6a9dc6bdd89aeb6ecbd992815650a9curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "seed": 20, "model": "sd3_medium_incl_clips_t5xxlfp16.safetensors", "shift": 3, "steps": 32, "width": 1024, "height": 1024, "prompt": "a closeup photo of a man standing in a forest", "sampler": "dpmpp_2m", "scheduler": "sgm_uniform", "output_format": "webp", "guidance_scale": 4.5, "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 } }' \ http://localhost:5000/predictions
To learn more, take a look at the Cog documentation.
Output
{
"completed_at": "2024-06-18T12:41:52.961851Z",
"created_at": "2024-06-18T12:41:37.873000Z",
"data_removed": false,
"error": null,
"id": "vhbjm0qva5rgp0cg5devah6n34",
"input": {
"seed": 20,
"model": "sd3_medium_incl_clips_t5xxlfp16.safetensors",
"shift": 3,
"steps": 32,
"width": 1024,
"height": 1024,
"prompt": "a closeup photo of a man standing in a forest",
"sampler": "dpmpp_2m",
"scheduler": "sgm_uniform",
"output_format": "webp",
"guidance_scale": 4.5,
"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": "Seed set to: 20\nChecking weights\n✅ sd3_medium_incl_clips_t5xxlfp16.safetensors exists in ComfyUI/models/checkpoints\n====================================\nRunning workflow\ngot prompt\nExecuting node 6, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode\nExecuting node 271, title: KSampler, class type: KSampler\n 0%| | 0/32 [00:00<?, ?it/s]\n 6%|▋ | 2/32 [00:00<00:07, 4.26it/s]\n 9%|▉ | 3/32 [00:00<00:06, 4.25it/s]\n 12%|█▎ | 4/32 [00:00<00:06, 4.23it/s]\n 16%|█▌ | 5/32 [00:01<00:06, 4.23it/s]\n 19%|█▉ | 6/32 [00:01<00:06, 4.22it/s]\n 22%|██▏ | 7/32 [00:01<00:05, 4.22it/s]\n 25%|██▌ | 8/32 [00:01<00:05, 4.21it/s]\n 28%|██▊ | 9/32 [00:02<00:05, 4.21it/s]\n 31%|███▏ | 10/32 [00:02<00:05, 4.20it/s]\n 34%|███▍ | 11/32 [00:02<00:04, 4.20it/s]\n 38%|███▊ | 12/32 [00:02<00:04, 4.20it/s]\n 41%|████ | 13/32 [00:03<00:04, 4.20it/s]\n 44%|████▍ | 14/32 [00:03<00:04, 4.21it/s]\n 47%|████▋ | 15/32 [00:03<00:04, 4.21it/s]\n 50%|█████ | 16/32 [00:03<00:03, 4.20it/s]\n 53%|█████▎ | 17/32 [00:04<00:03, 4.20it/s]\n 56%|█████▋ | 18/32 [00:04<00:03, 4.20it/s]\n 59%|█████▉ | 19/32 [00:04<00:03, 4.20it/s]\n 62%|██████▎ | 20/32 [00:04<00:02, 4.19it/s]\n 66%|██████▌ | 21/32 [00:04<00:02, 4.19it/s]\n 69%|██████▉ | 22/32 [00:05<00:02, 4.20it/s]\n 72%|███████▏ | 23/32 [00:05<00:02, 4.20it/s]\n 75%|███████▌ | 24/32 [00:05<00:01, 4.20it/s]\n 78%|███████▊ | 25/32 [00:05<00:01, 4.20it/s]\n 81%|████████▏ | 26/32 [00:06<00:01, 4.20it/s]\n 84%|████████▍ | 27/32 [00:06<00:01, 4.19it/s]\n 88%|████████▊ | 28/32 [00:06<00:00, 4.20it/s]\n 91%|█████████ | 29/32 [00:06<00:00, 4.20it/s]\n 94%|█████████▍| 30/32 [00:07<00:00, 4.19it/s]\n 97%|█████████▋| 31/32 [00:07<00:00, 4.20it/s]\n100%|██████████| 32/32 [00:07<00:00, 4.19it/s]\n100%|██████████| 32/32 [00:07<00:00, 4.20it/s]\nExecuting node 231, title: VAE Decode, class type: VAEDecode\nExecuting node 273, title: Save Image, class type: SaveImage\nPrompt executed in 8.26 seconds\noutputs: {'273': {'images': [{'filename': 'SD3_00001_.png', 'subfolder': '', 'type': 'output'}]}}\n====================================\nSD3_00001_.png",
"metrics": {
"predict_time": 8.785583497,
"total_time": 15.088851
},
"output": [
"https://replicate.delivery/pbxt/216yKDg001rTGNLIzZYUBw8yDeuRYQb5NEIbOTr523HIl5fSA/SD3_00001_.webp"
],
"started_at": "2024-06-18T12:41:44.176268Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/vhbjm0qva5rgp0cg5devah6n34",
"cancel": "https://api.replicate.com/v1/predictions/vhbjm0qva5rgp0cg5devah6n34/cancel"
},
"version": "ba3320806125ae93991c899010c998e4ee6a9dc6bdd89aeb6ecbd992815650a9"
}Generated in
Seed set to: 20
Checking weights
✅ sd3_medium_incl_clips_t5xxlfp16.safetensors exists in ComfyUI/models/checkpoints
====================================
Running workflow
got prompt
Executing node 6, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode
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 8.26 seconds
outputs: {'273': {'images': [{'filename': 'SD3_00001_.png', 'subfolder': '', 'type': 'output'}]}}
====================================
SD3_00001_.png