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nightmareai /disco-diffusion:bc788225
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 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:bc78822513db3dd6fc3be978d68472258b6f86a3a8ebf6aa8c5bc60b66bbae58",
{
input: {
RN50: true,
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,
ViTL14_336: false,
init_scale: 1000,
skip_steps: 10,
range_scale: 150,
cutn_batches: 4,
display_rate: 20,
target_scale: 20000,
diffusion_model: "pixel_art_diffusion_soft_256",
clip_guidance_scale: 5000,
use_secondary_model: true,
diffusion_sampling_mode: "ddim"
}
}
);
console.log(output);
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 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:bc78822513db3dd6fc3be978d68472258b6f86a3a8ebf6aa8c5bc60b66bbae58",
input={
"RN50": True,
"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,
"ViTL14_336": False,
"init_scale": 1000,
"skip_steps": 10,
"range_scale": 150,
"cutn_batches": 4,
"display_rate": 20,
"target_scale": 20000,
"diffusion_model": "pixel_art_diffusion_soft_256",
"clip_guidance_scale": 5000,
"use_secondary_model": True,
"diffusion_sampling_mode": "ddim"
}
)
# 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.
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": "bc78822513db3dd6fc3be978d68472258b6f86a3a8ebf6aa8c5bc60b66bbae58",
"input": {
"RN50": true,
"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,
"ViTL14_336": false,
"init_scale": 1000,
"skip_steps": 10,
"range_scale": 150,
"cutn_batches": 4,
"display_rate": 20,
"target_scale": 20000,
"diffusion_model": "pixel_art_diffusion_soft_256",
"clip_guidance_scale": 5000,
"use_secondary_model": true,
"diffusion_sampling_mode": "ddim"
}
}' \
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": "2022-07-10T11:35:51.730281Z",
"created_at": "2022-07-10T11:20:38.423114Z",
"data_removed": false,
"error": null,
"id": "wxy2gmscjne6dg42wxq36um7je",
"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": "pixel_art_diffusion_soft_256",
"clip_guidance_scale": 5000,
"use_secondary_model": true,
"diffusion_sampling_mode": "ddim"
},
"logs": "2022-07-10 11:21:10.149 | INFO | dd:start_run:2224 - 💼 1 jobs found.\n2022-07-10 11:21:10.151 | INFO | dd:start_run:2236 - ⚒️ Session d9e07535-6ade-417e-8d4e-572b990c5021 started...\n2022-07-10 11:21:10.151 | INFO | dd:start_run:2239 - 💼 Processing job 1 of 1...\n2022-07-10 11:21:10.151 | INFO | dd:start_run:2242 - 🌲 Setting TORCH_HOME environment variable to /root/.cache/disco-diffusion...\n2022-07-10 11:21:10.153 | INFO | dd:processBatch:2329 - 🌱 Randomly using seed: 1242111724\n2022-07-10 11:21:10.153 | INFO | dd:free_mem:71 - Clearing CUDA cache on cuda:0...\n2022-07-10 11:21:10.154 | INFO | dd:do_run:1190 - 💻 Starting Run: 3a2cdff6-0268-4c70-bb7b-961b92ada908(0) at frame 0\n2022-07-10 11:21:10.154 | INFO | dd:clipLoad:1182 - 🤖 Loading model 'ViT-B/32'...\n2022-07-10 11:21:18.182 | INFO | dd:clipLoad:1182 - 🤖 Loading model 'ViT-B/16'...\n2022-07-10 11:21:23.718 | INFO | dd:clipLoad:1182 - 🤖 Loading model 'RN50'...\n2022-07-10 11:21:27.937 | INFO | dd:do_run:1216 - 🤖 Loading secondary model...\n2022-07-10 11:21:28.212 | 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 11:21:30.168 | INFO | dd:disco:1502 - timestep_respacing : ddim250 | diffusion_steps: 1000\n2022-07-10 11:21:30.168 | INFO | dd:prepModels:1054 - Prepping models...\n2022-07-10 11:21:31.806 | INFO | dd:disco:1532 - Running job '2a862698-f845-496f-832d-67938da6318e'...\n2022-07-10 11:21:31.807 | INFO | dd:disco:1545 - 🌱 Seed used: 1242111724\n2022-07-10 11:21:31.816 | 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 11:21:33.533 | 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/3a2cdff6-0268-4c70-bb7b-961b92ada908/3a2cdff6-0268-4c70-bb7b-961b92ada908(0)_0.png'\n\n\n100%|██████████| 240/240 [14:12<00:00, 3.91s/it]\u001b[A\n100%|██████████| 240/240 [14:12<00:00, 3.55s/it]\n2022-07-10 11:35:45.745 | INFO | dd:free_mem:71 - Clearing CUDA cache on cuda:0...\n2022-07-10 11:35:45.745 | SUCCESS | dd:start_run:2245 - ✅ Session d9e07535-6ade-417e-8d4e-572b990c5021 finished by user.\n2022-07-10 11:35:45.745 | DEBUG | dd:sendSMS:2530 - Not sending SMS\n2022-07-10 11:35:45.745 | INFO | dd:free_mem:71 - Clearing CUDA cache on cuda:0...",
"metrics": {
"predict_time": 881.544729,
"total_time": 913.307167
},
"output": [
"https://replicate.delivery/mgxm/0cd9f858-a826-4cec-84e3-119f087b4a2e/progress.png",
"https://replicate.delivery/mgxm/4941a2c6-124d-451b-8447-66da6e290432/progress.png",
"https://replicate.delivery/mgxm/e08feb0a-03c1-41c2-9078-c21d292b5222/progress.png",
"https://replicate.delivery/mgxm/9014c001-a4b1-42e7-bf54-a522281b470f/progress.png",
"https://replicate.delivery/mgxm/a96f71af-3cd0-4857-b159-49f4ddb94bff/progress.png",
"https://replicate.delivery/mgxm/d6d1c8f6-c2be-4c79-8b42-886f3af3e48b/progress.png",
"https://replicate.delivery/mgxm/fa2be4cc-df3d-40e5-970a-5c3857231c7c/progress.png",
"https://replicate.delivery/mgxm/7cdd6c6d-70db-42be-b00f-9cffd35cb5dc/progress.png",
"https://replicate.delivery/mgxm/cd8ccbaa-0a8c-4292-b657-2e1e01fd799d/progress.png",
"https://replicate.delivery/mgxm/410a6671-83c9-43ab-a554-90fd12255d79/progress.png",
"https://replicate.delivery/mgxm/a3386c78-58d2-40be-8bfe-2193bac5da17/progress.png",
"https://replicate.delivery/mgxm/dee3ee91-6e03-4c21-9bde-ada04ea9c30d/progress.png",
"https://replicate.delivery/mgxm/8d60f574-0aca-4331-b4e5-9bdc84279aae/progress.png",
"https://replicate.delivery/mgxm/357f257e-397a-463f-9c54-561239a9baf0/progress.png"
],
"started_at": "2022-07-10T11:21:10.185552Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/wxy2gmscjne6dg42wxq36um7je",
"cancel": "https://api.replicate.com/v1/predictions/wxy2gmscjne6dg42wxq36um7je/cancel"
},
"version": "bc78822513db3dd6fc3be978d68472258b6f86a3a8ebf6aa8c5bc60b66bbae58"
}
2022-07-10 11:21:10.149 | INFO | dd:start_run:2224 - 💼 1 jobs found.
2022-07-10 11:21:10.151 | INFO | dd:start_run:2236 - ⚒️ Session d9e07535-6ade-417e-8d4e-572b990c5021 started...
2022-07-10 11:21:10.151 | INFO | dd:start_run:2239 - 💼 Processing job 1 of 1...
2022-07-10 11:21:10.151 | INFO | dd:start_run:2242 - 🌲 Setting TORCH_HOME environment variable to /root/.cache/disco-diffusion...
2022-07-10 11:21:10.153 | INFO | dd:processBatch:2329 - 🌱 Randomly using seed: 1242111724
2022-07-10 11:21:10.153 | INFO | dd:free_mem:71 - Clearing CUDA cache on cuda:0...
2022-07-10 11:21:10.154 | INFO | dd:do_run:1190 - 💻 Starting Run: 3a2cdff6-0268-4c70-bb7b-961b92ada908(0) at frame 0
2022-07-10 11:21:10.154 | INFO | dd:clipLoad:1182 - 🤖 Loading model 'ViT-B/32'...
2022-07-10 11:21:18.182 | INFO | dd:clipLoad:1182 - 🤖 Loading model 'ViT-B/16'...
2022-07-10 11:21:23.718 | INFO | dd:clipLoad:1182 - 🤖 Loading model 'RN50'...
2022-07-10 11:21:27.937 | INFO | dd:do_run:1216 - 🤖 Loading secondary model...
2022-07-10 11:21:28.212 | 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 11:21:30.168 | INFO | dd:disco:1502 - timestep_respacing : ddim250 | diffusion_steps: 1000
2022-07-10 11:21:30.168 | INFO | dd:prepModels:1054 - Prepping models...
2022-07-10 11:21:31.806 | INFO | dd:disco:1532 - Running job '2a862698-f845-496f-832d-67938da6318e'...
2022-07-10 11:21:31.807 | INFO | dd:disco:1545 - 🌱 Seed used: 1242111724
2022-07-10 11:21:31.816 | 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 11:21:33.533 | INFO | dd:free_mem:71 - Clearing CUDA cache on cuda:0...
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Batch 0, step 120, output 0:
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Batch 0, step 140, output 0:
<PIL.Image.Image image mode=RGB size=1280x768 at 0x7F85CD294070>
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Batch 0, step 160, output 0:
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Batch 0, step 180, output 0:
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Batch 0, step 220, output 0:
<PIL.Image.Image image mode=RGB size=1280x768 at 0x7F85CD294040>
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Batch 0, step 239, output 0:
<PIL.Image.Image image mode=RGB size=1280x768 at 0x7F85CD294520>
100%|█████████▉| 239/240 [14:11<00:03, 3.63s/it]2022-07-10 11:35:45.291 | INFO | dd:disco:1820 - Image render completed.
2022-07-10 11:35:45.744 | INFO | dd:disco:1840 - Image saved to '/src/images_out/3a2cdff6-0268-4c70-bb7b-961b92ada908/3a2cdff6-0268-4c70-bb7b-961b92ada908(0)_0.png'
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2022-07-10 11:35:45.745 | INFO | dd:free_mem:71 - Clearing CUDA cache on cuda:0...
2022-07-10 11:35:45.745 | SUCCESS | dd:start_run:2245 - ✅ Session d9e07535-6ade-417e-8d4e-572b990c5021 finished by user.
2022-07-10 11:35:45.745 | DEBUG | dd:sendSMS:2530 - Not sending SMS
2022-07-10 11:35:45.745 | INFO | dd:free_mem:71 - Clearing CUDA cache on cuda:0...