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You're looking at a specific version of this model. Jump to the model overview.
nightmareai /disco-diffusion:3c128f65
Input
Run this model in Node.js with one line of code:
npx create-replicate --model=nightmareai/disco-diffusion
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 nightmareai/disco-diffusion using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"nightmareai/disco-diffusion:3c128f652e9f24e72896ac0b019e47facfd6bccf93104d50f09f1f2196325507",
{
input: {
RN50: true,
RN101: false,
steps: 250,
width: 1280,
RN50x4: false,
ViTB16: true,
ViTB32: true,
ViTL14: false,
height: 768,
prompt: "A beautiful painting of a singular lighthouse, shining its light across a tumultuous sea of blood by greg rutkowski and thomas kinkade, Trending on artstation.",
RN50x16: false,
RN50x64: false,
RN50x101: false,
tv_scale: 0,
sat_scale: 0,
skip_augs: false,
RN50_cc12m: false,
ViTL14_336: false,
init_scale: 1000,
skip_steps: 10,
range_scale: 150,
cutn_batches: 4,
display_rate: 20,
target_scale: 20000,
RN101_yfcc15m: false,
RN50_yffcc15m: false,
diffusion_model: "512x512_diffusion_uncond_finetune_008100",
ViTB32_laion2b_e16: false,
clip_guidance_scale: 5000,
use_secondary_model: true,
RN50_quickgelu_cc12m: false,
ViTB16_laion400m_e31: false,
ViTB16_laion400m_e32: false,
ViTB32_laion400m_e31: false,
ViTB32_laion400m_e32: false,
RN50_quickgelu_yfcc15m: false,
RN101_quickgelu_yfcc15m: false,
diffusion_sampling_mode: "ddim",
ViTB32quickgelu_laion400m_e31: false,
ViTB32quickgelu_laion400m_e32: false
}
}
);
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 nightmareai/disco-diffusion using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"nightmareai/disco-diffusion:3c128f652e9f24e72896ac0b019e47facfd6bccf93104d50f09f1f2196325507",
input={
"RN50": True,
"RN101": False,
"steps": 250,
"width": 1280,
"RN50x4": False,
"ViTB16": True,
"ViTB32": True,
"ViTL14": False,
"height": 768,
"prompt": "A beautiful painting of a singular lighthouse, shining its light across a tumultuous sea of blood by greg rutkowski and thomas kinkade, Trending on artstation.",
"RN50x16": False,
"RN50x64": False,
"RN50x101": False,
"tv_scale": 0,
"sat_scale": 0,
"skip_augs": False,
"RN50_cc12m": False,
"ViTL14_336": False,
"init_scale": 1000,
"skip_steps": 10,
"range_scale": 150,
"cutn_batches": 4,
"display_rate": 20,
"target_scale": 20000,
"RN101_yfcc15m": False,
"RN50_yffcc15m": False,
"diffusion_model": "512x512_diffusion_uncond_finetune_008100",
"ViTB32_laion2b_e16": False,
"clip_guidance_scale": 5000,
"use_secondary_model": True,
"RN50_quickgelu_cc12m": False,
"ViTB16_laion400m_e31": False,
"ViTB16_laion400m_e32": False,
"ViTB32_laion400m_e31": False,
"ViTB32_laion400m_e32": False,
"RN50_quickgelu_yfcc15m": False,
"RN101_quickgelu_yfcc15m": False,
"diffusion_sampling_mode": "ddim",
"ViTB32quickgelu_laion400m_e31": False,
"ViTB32quickgelu_laion400m_e32": False
}
)
# The nightmareai/disco-diffusion model can stream output as it's running.
# The predict method returns an iterator, and you can iterate over that output.
for item in output:
# https://replicate.com/nightmareai/disco-diffusion/api#output-schema
print(item)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 nightmareai/disco-diffusion 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": "3c128f652e9f24e72896ac0b019e47facfd6bccf93104d50f09f1f2196325507",
"input": {
"RN50": true,
"RN101": false,
"steps": 250,
"width": 1280,
"RN50x4": false,
"ViTB16": true,
"ViTB32": true,
"ViTL14": false,
"height": 768,
"prompt": "A beautiful painting of a singular lighthouse, shining its light across a tumultuous sea of blood by greg rutkowski and thomas kinkade, Trending on artstation.",
"RN50x16": false,
"RN50x64": false,
"RN50x101": false,
"tv_scale": 0,
"sat_scale": 0,
"skip_augs": false,
"RN50_cc12m": false,
"ViTL14_336": false,
"init_scale": 1000,
"skip_steps": 10,
"range_scale": 150,
"cutn_batches": 4,
"display_rate": 20,
"target_scale": 20000,
"RN101_yfcc15m": false,
"RN50_yffcc15m": false,
"diffusion_model": "512x512_diffusion_uncond_finetune_008100",
"ViTB32_laion2b_e16": false,
"clip_guidance_scale": 5000,
"use_secondary_model": true,
"RN50_quickgelu_cc12m": false,
"ViTB16_laion400m_e31": false,
"ViTB16_laion400m_e32": false,
"ViTB32_laion400m_e31": false,
"ViTB32_laion400m_e32": false,
"RN50_quickgelu_yfcc15m": false,
"RN101_quickgelu_yfcc15m": false,
"diffusion_sampling_mode": "ddim",
"ViTB32quickgelu_laion400m_e31": false,
"ViTB32quickgelu_laion400m_e32": false
}
}' \
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.
Sign in with GitHub
By signing in, you agree to our
terms of service and privacy policy
Output
{
"completed_at": "2022-07-10T11:17:36.820113Z",
"created_at": "2022-07-10T11:00:26.481418Z",
"data_removed": false,
"error": null,
"id": "bzp5mhiyarcmvoinbxpubjhzou",
"input": {
"RN50": true,
"steps": 250,
"width": 1280,
"ViTB16": true,
"ViTB32": true,
"height": 768,
"prompt": "A beautiful painting of a singular lighthouse, shining its light across a tumultuous sea of blood by greg rutkowski and thomas kinkade, Trending on artstation.",
"init_scale": 1000,
"skip_steps": 10,
"range_scale": 150,
"cutn_batches": 4,
"display_rate": 20,
"target_scale": 20000,
"diffusion_model": "512x512_diffusion_uncond_finetune_008100",
"clip_guidance_scale": 5000,
"use_secondary_model": true,
"diffusion_sampling_mode": "ddim"
},
"logs": "2022-07-10 11:00:26.617 | INFO | dd:start_run:2224 - 💼 1 jobs found.\n2022-07-10 11:00:26.618 | INFO | dd:start_run:2236 - ⚒️ Session 0ed00f4d-91e7-4ca9-acff-88072c74069e started...\n2022-07-10 11:00:26.619 | INFO | dd:start_run:2239 - 💼 Processing job 1 of 1...\n2022-07-10 11:00:26.619 | INFO | dd:start_run:2242 - 🌲 Setting TORCH_HOME environment variable to /root/.cache/disco-diffusion...\n2022-07-10 11:00:26.619 | INFO | dd:processBatch:2329 - 🌱 Randomly using seed: 2866669839\n2022-07-10 11:00:26.620 | INFO | dd:free_mem:71 - Clearing CUDA cache on cuda:0...\n2022-07-10 11:00:26.620 | INFO | dd:do_run:1190 - 💻 Starting Run: ba70ca3b-8ed1-4ac4-a09f-3cc046dd3dea(0) at frame 0\n2022-07-10 11:00:26.620 | INFO | dd:clipLoad:1182 - 🤖 Loading model 'ViT-B/32'...\n2022-07-10 11:00:31.138 | INFO | dd:clipLoad:1182 - 🤖 Loading model 'ViT-B/16'...\n2022-07-10 11:00:35.131 | INFO | dd:clipLoad:1182 - 🤖 Loading model 'RN50'...\n2022-07-10 11:00:38.346 | INFO | dd:do_run:1216 - 🤖 Loading secondary model...\n2022-07-10 11:00:38.634 | INFO | dd:do_run:1222 - 🤖 Loading LPIPS...\n/root/.pyenv/versions/3.8.13/lib/python3.8/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and will be removed in 0.15, please use 'weights' instead.\n warnings.warn(\n/root/.pyenv/versions/3.8.13/lib/python3.8/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and will be removed in 0.15. The current behavior is equivalent to passing `weights=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.\n warnings.warn(msg)\n\u001b[2K\n2022-07-10 11:00:42.292 | INFO | dd:disco:1502 - timestep_respacing : ddim250 | diffusion_steps: 1000\n2022-07-10 11:00:42.293 | INFO | dd:prepModels:1054 - Prepping models...\n2022-07-10 11:00:55.511 | INFO | dd:disco:1532 - Running job '854105ed-bc42-4cf6-a569-59bf14495d4e'...\n2022-07-10 11:00:55.511 | INFO | dd:disco:1545 - 🌱 Seed used: 2866669839\n2022-07-10 11:00:55.513 | INFO | dd:disco:1571 - Frame 0 📝 Prompt: ['A beautiful painting of a singular lighthouse, shining its light across a tumultuous sea of blood by greg rutkowski and thomas kinkade, Trending on artstation.']\n\u001b[2K\n\u001b[2K\n\u001b[2K\nBatches: 0%| | 0/1 [00:00<?, ?it/s]\nOutput()\n2022-07-10 11:00:55.578 | INFO | dd:free_mem:71 - Clearing CUDA cache on cuda:0...\n\n\n 0%| | 0/240 [00:00<?, ?it/s]\u001b[A\nBatch 0, step 0, output 0:\n\n\n\u001b[A\n\n\u001b[2K\n\u001b[2K\n<PIL.Image.Image image 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'/src/images_out/ba70ca3b-8ed1-4ac4-a09f-3cc046dd3dea/ba70ca3b-8ed1-4ac4-a09f-3cc046dd3dea(0)_0.png'\n\n\n100%|██████████| 240/240 [16:35<00:00, 4.50s/it]\u001b[A\n100%|██████████| 240/240 [16:35<00:00, 4.15s/it]\n2022-07-10 11:17:31.558 | INFO | dd:free_mem:71 - Clearing CUDA cache on cuda:0...\n2022-07-10 11:17:31.558 | SUCCESS | dd:start_run:2245 - ✅ Session 0ed00f4d-91e7-4ca9-acff-88072c74069e finished by user.\n2022-07-10 11:17:31.558 | DEBUG | dd:sendSMS:2530 - Not sending SMS\n2022-07-10 11:17:31.558 | INFO | dd:free_mem:71 - Clearing CUDA cache on cuda:0...",
"metrics": {
"predict_time": 1030.13119,
"total_time": 1030.338695
},
"output": [
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"https://replicate.delivery/mgxm/c416110b-f805-4f94-a74d-7978f84a94e3/progress.png",
"https://replicate.delivery/mgxm/a8d6cf08-f57d-41b2-a8b7-45955f0097df/progress.png",
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}Generated in
2022-07-10 11:00:26.617 | INFO | dd:start_run:2224 - 💼 1 jobs found.
2022-07-10 11:00:26.618 | INFO | dd:start_run:2236 - ⚒️ Session 0ed00f4d-91e7-4ca9-acff-88072c74069e started...
2022-07-10 11:00:26.619 | INFO | dd:start_run:2239 - 💼 Processing job 1 of 1...
2022-07-10 11:00:26.619 | INFO | dd:start_run:2242 - 🌲 Setting TORCH_HOME environment variable to /root/.cache/disco-diffusion...
2022-07-10 11:00:26.619 | INFO | dd:processBatch:2329 - 🌱 Randomly using seed: 2866669839
2022-07-10 11:00:26.620 | INFO | dd:free_mem:71 - Clearing CUDA cache on cuda:0...
2022-07-10 11:00:26.620 | INFO | dd:do_run:1190 - 💻 Starting Run: ba70ca3b-8ed1-4ac4-a09f-3cc046dd3dea(0) at frame 0
2022-07-10 11:00:26.620 | INFO | dd:clipLoad:1182 - 🤖 Loading model 'ViT-B/32'...
2022-07-10 11:00:31.138 | INFO | dd:clipLoad:1182 - 🤖 Loading model 'ViT-B/16'...
2022-07-10 11:00:35.131 | INFO | dd:clipLoad:1182 - 🤖 Loading model 'RN50'...
2022-07-10 11:00:38.346 | INFO | dd:do_run:1216 - 🤖 Loading secondary model...
2022-07-10 11:00:38.634 | INFO | dd:do_run:1222 - 🤖 Loading LPIPS...
/root/.pyenv/versions/3.8.13/lib/python3.8/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and will be removed in 0.15, please use 'weights' instead.
warnings.warn(
/root/.pyenv/versions/3.8.13/lib/python3.8/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and will be removed in 0.15. The current behavior is equivalent to passing `weights=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
warnings.warn(msg)
2022-07-10 11:00:42.292 | INFO | dd:disco:1502 - timestep_respacing : ddim250 | diffusion_steps: 1000
2022-07-10 11:00:42.293 | INFO | dd:prepModels:1054 - Prepping models...
2022-07-10 11:00:55.511 | INFO | dd:disco:1532 - Running job '854105ed-bc42-4cf6-a569-59bf14495d4e'...
2022-07-10 11:00:55.511 | INFO | dd:disco:1545 - 🌱 Seed used: 2866669839
2022-07-10 11:00:55.513 | INFO | dd:disco:1571 - Frame 0 📝 Prompt: ['A beautiful painting of a singular lighthouse, shining its light across a tumultuous sea of blood by greg rutkowski and thomas kinkade, Trending on artstation.']
Batches: 0%| | 0/1 [00:00<?, ?it/s]
Output()
2022-07-10 11:00:55.578 | INFO | dd:free_mem:71 - Clearing CUDA cache on cuda:0...
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Batch 0, step 100, output 0:
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Batch 0, step 120, output 0:
<PIL.Image.Image image mode=RGB size=1280x768 at 0x7F4BB3D99CA0>
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Batch 0, step 140, output 0:
<PIL.Image.Image image mode=RGB size=1280x768 at 0x7F4BB3D99820>
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Batch 0, step 160, output 0:
<PIL.Image.Image image mode=RGB size=1280x768 at 0x7F4BB3D99340>
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Batch 0, step 180, output 0:
<PIL.Image.Image image mode=RGB size=1280x768 at 0x7F4BB3D99D90>
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Batch 0, step 200, output 0:
<PIL.Image.Image image mode=RGB size=1280x768 at 0x7F4BB3D99B80>
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Batch 0, step 220, output 0:
<PIL.Image.Image image mode=RGB size=1280x768 at 0x7F4BB3D99C40>
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Batch 0, step 239, output 0:
<PIL.Image.Image image mode=RGB size=1280x768 at 0x7F4BB3D996A0>
100%|█████████▉| 239/240 [16:35<00:04, 4.23s/it]2022-07-10 11:17:31.125 | INFO | dd:disco:1820 - Image render completed.
2022-07-10 11:17:31.557 | INFO | dd:disco:1840 - Image saved to '/src/images_out/ba70ca3b-8ed1-4ac4-a09f-3cc046dd3dea/ba70ca3b-8ed1-4ac4-a09f-3cc046dd3dea(0)_0.png'
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2022-07-10 11:17:31.558 | INFO | dd:free_mem:71 - Clearing CUDA cache on cuda:0...
2022-07-10 11:17:31.558 | SUCCESS | dd:start_run:2245 - ✅ Session 0ed00f4d-91e7-4ca9-acff-88072c74069e finished by user.
2022-07-10 11:17:31.558 | DEBUG | dd:sendSMS:2530 - Not sending SMS
2022-07-10 11:17:31.558 | INFO | dd:free_mem:71 - Clearing CUDA cache on cuda:0...This example was created by a different version, nightmareai/disco-diffusion:bc788225.