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cjwbw /stable-diffusion-high-resolution:6cba009c
Input
Run this model in Node.js with one line of code:
npx create-replicate --model=cjwbw/stable-diffusion-high-resolution
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 cjwbw/stable-diffusion-high-resolution using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"cjwbw/stable-diffusion-high-resolution:6cba009c63dce77592f864a4d3584ec21c59d92f4ba2da78319ada831e3725fc",
{
input: {
scale: 7.5,
steps: 100,
prompt: "old harbour, tone mapped, shiny, intricate, cinematic lighting, highly detailed, digital painting, artstation, concept art, smooth, sharp focus, illustration, art by terry moore and greg rutkowski and alphonse mucha",
ori_width: 512,
ori_height: 512
}
}
);
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 cjwbw/stable-diffusion-high-resolution using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"cjwbw/stable-diffusion-high-resolution:6cba009c63dce77592f864a4d3584ec21c59d92f4ba2da78319ada831e3725fc",
input={
"scale": 7.5,
"steps": 100,
"prompt": "old harbour, tone mapped, shiny, intricate, cinematic lighting, highly detailed, digital painting, artstation, concept art, smooth, sharp focus, illustration, art by terry moore and greg rutkowski and alphonse mucha",
"ori_width": 512,
"ori_height": 512
}
)
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 cjwbw/stable-diffusion-high-resolution 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": "6cba009c63dce77592f864a4d3584ec21c59d92f4ba2da78319ada831e3725fc",
"input": {
"scale": 7.5,
"steps": 100,
"prompt": "old harbour, tone mapped, shiny, intricate, cinematic lighting, highly detailed, digital painting, artstation, concept art, smooth, sharp focus, illustration, art by terry moore and greg rutkowski and alphonse mucha",
"ori_width": 512,
"ori_height": 512
}
}' \
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/cjwbw/stable-diffusion-high-resolution@sha256:6cba009c63dce77592f864a4d3584ec21c59d92f4ba2da78319ada831e3725fc \
-i 'scale=7.5' \
-i 'steps=100' \
-i 'prompt="old harbour, tone mapped, shiny, intricate, cinematic lighting, highly detailed, digital painting, artstation, concept art, smooth, sharp focus, illustration, art by terry moore and greg rutkowski and alphonse mucha"' \
-i 'ori_width=512' \
-i 'ori_height=512'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/cjwbw/stable-diffusion-high-resolution@sha256:6cba009c63dce77592f864a4d3584ec21c59d92f4ba2da78319ada831e3725fccurl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "scale": 7.5, "steps": 100, "prompt": "old harbour, tone mapped, shiny, intricate, cinematic lighting, highly detailed, digital painting, artstation, concept art, smooth, sharp focus, illustration, art by terry moore and greg rutkowski and alphonse mucha", "ori_width": 512, "ori_height": 512 } }' \ http://localhost:5000/predictions
To learn more, take a look at the Cog documentation.
Add a payment method to run this model.
Each run costs approximately $0.076. Alternatively, try out our featured models for free.
Sign in with GitHub
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terms of service and privacy policy
Output
{
"completed_at": "2022-09-14T21:03:12.087933Z",
"created_at": "2022-09-14T21:02:19.388590Z",
"data_removed": false,
"error": null,
"id": "rnerrtamcrdklp6jiiercau3na",
"input": {
"scale": 7.5,
"steps": 100,
"prompt": "old harbour, tone mapped, shiny, intricate, cinematic lighting, highly detailed, digital painting, artstation, concept art, smooth, sharp focus, illustration, art by terry moore and greg rutkowski and alphonse mucha",
"ori_width": 512,
"ori_height": 512
},
"logs": "Using seed 646307660. Enter this in 'seed' if you want to produce the same output again!\nGlobal seed set to 646307660\n\nSampling: 0%| | 0/1 [00:00<?, ?it/s]\n\nData shape for DDIM sampling is (1, 4, 64, 64), eta 0\nRunning DDIM Sampling with 100 timesteps\ndata: 0%| | 0/1 [00:00<?, ?it/s]\u001b[A\n\n\nDDIM Sampler: 0%| | 0/100 [00:00<?, ?it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 1%| | 1/100 [00:00<00:12, 7.98it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 3%|▎ | 3/100 [00:00<00:09, 10.00it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 5%|▌ | 5/100 [00:00<00:09, 10.44it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 7%|▋ | 7/100 [00:00<00:08, 10.73it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 9%|▉ | 9/100 [00:00<00:08, 10.89it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 11%|█ | 11/100 [00:01<00:08, 10.98it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 13%|█▎ | 13/100 [00:01<00:07, 11.04it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 15%|█▌ | 15/100 [00:01<00:07, 11.10it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 17%|█▋ | 17/100 [00:01<00:07, 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4.19s/it]\u001b[A\u001b[A\ndata: 100%|██████████| 1/1 [00:04<00:00, 4.19s/it]\n\n\nSlices: 5it [00:21, 4.29s/it]\u001b[A\n\n\nRunning DDIM Sampling with 45 timesteps\ndata: 0%| | 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\n\n\n\nDecoding image: 0%| | 0/45 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 4%|▍ | 2/45 [00:00<00:04, 10.53it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 9%|▉ | 4/45 [00:00<00:03, 10.81it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 13%|█▎ | 6/45 [00:00<00:03, 10.91it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 18%|█▊ | 8/45 [00:00<00:03, 10.98it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 22%|██▏ | 10/45 [00:00<00:03, 11.05it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 27%|██▋ | 12/45 [00:01<00:03, 10.95it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 31%|███ | 14/45 [00:01<00:02, 10.99it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 36%|███▌ | 16/45 [00:01<00:02, 10.93it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding 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30/45 [00:02<00:01, 10.98it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 71%|███████ | 32/45 [00:02<00:01, 10.90it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 76%|███████▌ | 34/45 [00:03<00:01, 10.94it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 80%|████████ | 36/45 [00:03<00:00, 11.04it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 84%|████████▍ | 38/45 [00:03<00:00, 11.01it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 89%|████████▉ | 40/45 [00:03<00:00, 11.07it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 93%|█████████▎| 42/45 [00:03<00:00, 11.03it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 98%|█████████▊| 44/45 [00:04<00:00, 11.02it/s]\u001b[A\u001b[A\u001b[A\nDecoding image: 100%|██████████| 45/45 [00:04<00:00, 10.91it/s]\n\n\n\ndata: 100%|██████████| 1/1 [00:04<00:00, 4.24s/it]\u001b[A\u001b[A\ndata: 100%|██████████| 1/1 [00:04<00:00, 4.24s/it]\n\n\nSlices: 7it [00:29, 4.28s/it]\u001b[A\n\n\nRunning DDIM Sampling with 45 timesteps\ndata: 0%| | 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\n\n\n\nDecoding image: 0%| | 0/45 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 2%|▏ | 1/45 [00:00<00:04, 9.99it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 7%|▋ | 3/45 [00:00<00:03, 10.89it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 11%|█ | 5/45 [00:00<00:03, 11.09it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 16%|█▌ | 7/45 [00:00<00:03, 11.02it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 20%|██ | 9/45 [00:00<00:03, 10.99it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 24%|██▍ | 11/45 [00:01<00:03, 10.95it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 29%|██▉ | 13/45 [00:01<00:02, 11.02it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 33%|███▎ | 15/45 [00:01<00:02, 11.02it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 38%|███▊ | 17/45 [00:01<00:02, 11.10it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 42%|████▏ | 19/45 [00:01<00:02, 10.99it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 47%|████▋ | 21/45 [00:01<00:02, 10.85it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 51%|█████ | 23/45 [00:02<00:02, 10.90it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 56%|█████▌ | 25/45 [00:02<00:01, 10.87it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 60%|██████ | 27/45 [00:02<00:01, 10.93it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 64%|██████▍ | 29/45 [00:02<00:01, 10.98it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 69%|██████▉ | 31/45 [00:02<00:01, 10.80it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 73%|███████▎ | 33/45 [00:03<00:01, 10.84it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 78%|███████▊ | 35/45 [00:03<00:00, 10.83it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 82%|████████▏ | 37/45 [00:03<00:00, 10.90it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 87%|████████▋ | 39/45 [00:03<00:00, 10.82it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 91%|█████████ | 41/45 [00:03<00:00, 10.78it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 96%|█████████▌| 43/45 [00:03<00:00, 10.90it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 100%|██████████| 45/45 [00:04<00:00, 10.88it/s]\u001b[A\u001b[A\u001b[A\nDecoding image: 100%|██████████| 45/45 [00:04<00:00, 10.91it/s]\n\n\n\ndata: 100%|██████████| 1/1 [00:04<00:00, 4.24s/it]\u001b[A\u001b[A\ndata: 100%|██████████| 1/1 [00:04<00:00, 4.24s/it]\n\n\nSlices: 8it [00:34, 4.28s/it]\u001b[A\n\n\nRunning DDIM Sampling with 45 timesteps\ndata: 0%| | 0/1 [00:00<?, ?it/s]\u001b[A\u001b[A\n\n\n\nDecoding image: 0%| | 0/45 [00:00<?, ?it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 4%|▍ | 2/45 [00:00<00:03, 10.78it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 9%|▉ | 4/45 [00:00<00:03, 10.78it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 13%|█▎ | 6/45 [00:00<00:03, 10.90it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 18%|█▊ | 8/45 [00:00<00:03, 10.86it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 22%|██▏ | 10/45 [00:00<00:03, 10.97it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 27%|██▋ | 12/45 [00:01<00:02, 11.05it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 31%|███ | 14/45 [00:01<00:02, 11.02it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 36%|███▌ | 16/45 [00:01<00:02, 11.06it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 40%|████ | 18/45 [00:01<00:02, 10.89it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 44%|████▍ | 20/45 [00:01<00:02, 10.97it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 49%|████▉ | 22/45 [00:02<00:02, 10.93it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 53%|█████▎ | 24/45 [00:02<00:01, 10.74it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 58%|█████▊ | 26/45 [00:02<00:01, 10.77it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 62%|██████▏ | 28/45 [00:02<00:01, 10.62it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 67%|██████▋ | 30/45 [00:02<00:01, 10.72it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 71%|███████ | 32/45 [00:02<00:01, 10.81it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 76%|███████▌ | 34/45 [00:03<00:01, 10.84it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 80%|████████ | 36/45 [00:03<00:00, 10.88it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 84%|████████▍ | 38/45 [00:03<00:00, 10.83it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 89%|████████▉ | 40/45 [00:03<00:00, 10.80it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 93%|█████████▎| 42/45 [00:03<00:00, 10.74it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 98%|█████████▊| 44/45 [00:04<00:00, 10.81it/s]\u001b[A\u001b[A\u001b[A\nDecoding image: 100%|██████████| 45/45 [00:04<00:00, 10.85it/s]\n\n\n\ndata: 100%|██████████| 1/1 [00:04<00:00, 4.26s/it]\u001b[A\u001b[A\ndata: 100%|██████████| 1/1 [00:04<00:00, 4.26s/it]\n\n\nSlices: 9it [00:38, 4.28s/it]\u001b[A\nSlices: 9it [00:38, 4.28s/it]\n\nPasses: 100%|██████████| 1/1 [00:40<00:00, 40.77s/it]\nPasses: 100%|██████████| 1/1 [00:40<00:00, 40.77s/it]",
"metrics": {
"predict_time": 52.530979,
"total_time": 52.699343
},
"output": "https://replicate.delivery/mgxm/dbfd0f1b-ba03-408f-9dbe-a6067835b969/out.png",
"started_at": "2022-09-14T21:02:19.556954Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/rnerrtamcrdklp6jiiercau3na",
"cancel": "https://api.replicate.com/v1/predictions/rnerrtamcrdklp6jiiercau3na/cancel"
},
"version": "6cba009c63dce77592f864a4d3584ec21c59d92f4ba2da78319ada831e3725fc"
}Generated in
Using seed 646307660. Enter this in 'seed' if you want to produce the same output again!
Global seed set to 646307660
Sampling: 0%| | 0/1 [00:00<?, ?it/s]
Data shape for DDIM sampling is (1, 4, 64, 64), eta 0
Running DDIM Sampling with 100 timesteps
data: 0%| | 0/1 [00:00<?, ?it/s]
DDIM Sampler: 0%| | 0/100 [00:00<?, ?it/s]
DDIM Sampler: 1%| | 1/100 [00:00<00:12, 7.98it/s]
DDIM Sampler: 3%|▎ | 3/100 [00:00<00:09, 10.00it/s]
DDIM Sampler: 5%|▌ | 5/100 [00:00<00:09, 10.44it/s]
DDIM Sampler: 7%|▋ | 7/100 [00:00<00:08, 10.73it/s]
DDIM Sampler: 9%|▉ | 9/100 [00:00<00:08, 10.89it/s]
DDIM Sampler: 11%|█ | 11/100 [00:01<00:08, 10.98it/s]
DDIM Sampler: 13%|█▎ | 13/100 [00:01<00:07, 11.04it/s]
DDIM Sampler: 15%|█▌ | 15/100 [00:01<00:07, 11.10it/s]
DDIM Sampler: 17%|█▋ | 17/100 [00:01<00:07, 11.01it/s]
DDIM Sampler: 19%|█▉ | 19/100 [00:01<00:07, 10.99it/s]
DDIM Sampler: 21%|██ | 21/100 [00:01<00:07, 11.04it/s]
DDIM Sampler: 23%|██▎ | 23/100 [00:02<00:07, 10.99it/s]
DDIM Sampler: 25%|██▌ | 25/100 [00:02<00:06, 11.04it/s]
DDIM Sampler: 27%|██▋ | 27/100 [00:02<00:06, 10.99it/s]
DDIM Sampler: 29%|██▉ | 29/100 [00:02<00:06, 11.06it/s]
DDIM Sampler: 31%|███ | 31/100 [00:02<00:06, 11.05it/s]
DDIM Sampler: 33%|███▎ | 33/100 [00:03<00:06, 11.09it/s]
DDIM Sampler: 35%|███▌ | 35/100 [00:03<00:05, 11.13it/s]
DDIM Sampler: 37%|███▋ | 37/100 [00:03<00:05, 11.10it/s]
DDIM Sampler: 39%|███▉ | 39/100 [00:03<00:05, 11.05it/s]
DDIM Sampler: 41%|████ | 41/100 [00:03<00:05, 10.94it/s]
DDIM Sampler: 43%|████▎ | 43/100 [00:03<00:05, 11.01it/s]
DDIM Sampler: 45%|████▌ | 45/100 [00:04<00:04, 11.03it/s]
DDIM Sampler: 47%|████▋ | 47/100 [00:04<00:04, 10.97it/s]
DDIM Sampler: 49%|████▉ | 49/100 [00:04<00:04, 11.03it/s]
DDIM Sampler: 51%|█████ | 51/100 [00:04<00:04, 10.95it/s]
DDIM Sampler: 53%|█████▎ | 53/100 [00:04<00:04, 10.95it/s]
DDIM Sampler: 55%|█████▌ | 55/100 [00:05<00:04, 10.77it/s]
DDIM Sampler: 57%|█████▋ | 57/100 [00:05<00:03, 10.81it/s]
DDIM Sampler: 59%|█████▉ | 59/100 [00:05<00:03, 10.85it/s]
DDIM Sampler: 61%|██████ | 61/100 [00:05<00:03, 10.81it/s]
DDIM Sampler: 63%|██████▎ | 63/100 [00:05<00:03, 10.90it/s]
DDIM Sampler: 65%|██████▌ | 65/100 [00:05<00:03, 10.93it/s]
DDIM Sampler: 67%|██████▋ | 67/100 [00:06<00:03, 10.98it/s]
DDIM Sampler: 69%|██████▉ | 69/100 [00:06<00:02, 11.00it/s]
DDIM Sampler: 71%|███████ | 71/100 [00:06<00:02, 10.93it/s]
DDIM Sampler: 73%|███████▎ | 73/100 [00:06<00:02, 10.95it/s]
DDIM Sampler: 75%|███████▌ | 75/100 [00:06<00:02, 10.89it/s]
DDIM Sampler: 77%|███████▋ | 77/100 [00:07<00:02, 10.91it/s]
DDIM Sampler: 79%|███████▉ | 79/100 [00:07<00:01, 10.91it/s]
DDIM Sampler: 81%|████████ | 81/100 [00:07<00:01, 10.90it/s]
DDIM Sampler: 83%|████████▎ | 83/100 [00:07<00:01, 10.93it/s]
DDIM Sampler: 85%|████████▌ | 85/100 [00:07<00:01, 10.91it/s]
DDIM Sampler: 87%|████████▋ | 87/100 [00:07<00:01, 10.95it/s]
DDIM Sampler: 89%|████████▉ | 89/100 [00:08<00:01, 10.75it/s]
DDIM Sampler: 91%|█████████ | 91/100 [00:08<00:00, 10.80it/s]
DDIM Sampler: 93%|█████████▎| 93/100 [00:08<00:00, 10.89it/s]
DDIM Sampler: 95%|█████████▌| 95/100 [00:08<00:00, 10.86it/s]
DDIM Sampler: 97%|█████████▋| 97/100 [00:08<00:00, 10.93it/s]
DDIM Sampler: 99%|█████████▉| 99/100 [00:09<00:00, 10.92it/s]
DDIM Sampler: 100%|██████████| 100/100 [00:09<00:00, 10.92it/s]
data: 100%|██████████| 1/1 [00:10<00:00, 10.14s/it]
data: 100%|██████████| 1/1 [00:10<00:00, 10.14s/it]
Sampling: 100%|██████████| 1/1 [00:10<00:00, 10.14s/it]
Sampling: 100%|██████████| 1/1 [00:10<00:00, 10.14s/it]
Passes: 0%| | 0/1 [00:00<?, ?it/s]
Slices: 0it [00:00, ?it/s]
Running DDIM Sampling with 45 timesteps
data: 0%| | 0/1 [00:00<?, ?it/s]
Decoding image: 0%| | 0/45 [00:00<?, ?it/s]
Decoding image: 2%|▏ | 1/45 [00:00<00:04, 9.80it/s]
Decoding image: 7%|▋ | 3/45 [00:00<00:03, 10.82it/s]
Decoding image: 11%|█ | 5/45 [00:00<00:03, 10.92it/s]
Decoding image: 16%|█▌ | 7/45 [00:00<00:03, 11.01it/s]
Decoding image: 20%|██ | 9/45 [00:00<00:03, 10.93it/s]
Decoding image: 24%|██▍ | 11/45 [00:01<00:03, 10.95it/s]
Decoding image: 29%|██▉ | 13/45 [00:01<00:02, 10.93it/s]
Decoding image: 33%|███▎ | 15/45 [00:01<00:02, 10.91it/s]
Decoding image: 38%|███▊ | 17/45 [00:01<00:02, 10.95it/s]
Decoding image: 42%|████▏ | 19/45 [00:01<00:02, 10.92it/s]
Decoding image: 47%|████▋ | 21/45 [00:01<00:02, 10.97it/s]
Decoding image: 51%|█████ | 23/45 [00:02<00:01, 11.03it/s]
Decoding image: 56%|█████▌ | 25/45 [00:02<00:01, 10.97it/s]
Decoding image: 60%|██████ | 27/45 [00:02<00:01, 11.01it/s]
Decoding image: 64%|██████▍ | 29/45 [00:02<00:01, 10.95it/s]
Decoding image: 69%|██████▉ | 31/45 [00:02<00:01, 11.03it/s]
Decoding image: 73%|███████▎ | 33/45 [00:03<00:01, 11.04it/s]
Decoding image: 78%|███████▊ | 35/45 [00:03<00:00, 10.90it/s]
Decoding image: 82%|████████▏ | 37/45 [00:03<00:00, 10.90it/s]
Decoding image: 87%|████████▋ | 39/45 [00:03<00:00, 10.92it/s]
Decoding image: 91%|█████████ | 41/45 [00:03<00:00, 10.83it/s]
Decoding image: 96%|█████████▌| 43/45 [00:03<00:00, 10.93it/s]
Decoding image: 100%|██████████| 45/45 [00:04<00:00, 10.86it/s]
Decoding image: 100%|██████████| 45/45 [00:04<00:00, 10.92it/s]
data: 100%|██████████| 1/1 [00:04<00:00, 4.23s/it]
data: 100%|██████████| 1/1 [00:04<00:00, 4.23s/it]
Slices: 1it [00:04, 4.28s/it]
Running DDIM Sampling with 45 timesteps
data: 0%| | 0/1 [00:00<?, ?it/s]
Decoding image: 0%| | 0/45 [00:00<?, ?it/s]
Decoding image: 4%|▍ | 2/45 [00:00<00:04, 10.74it/s]
Decoding image: 9%|▉ | 4/45 [00:00<00:03, 10.91it/s]
Decoding image: 13%|█▎ | 6/45 [00:00<00:03, 10.99it/s]
Decoding image: 18%|█▊ | 8/45 [00:00<00:03, 10.98it/s]
Decoding image: 22%|██▏ | 10/45 [00:00<00:03, 11.02it/s]
Decoding image: 27%|██▋ | 12/45 [00:01<00:03, 10.91it/s]
Decoding image: 31%|███ | 14/45 [00:01<00:02, 10.96it/s]
Decoding image: 36%|███▌ | 16/45 [00:01<00:02, 11.03it/s]
Decoding image: 40%|████ | 18/45 [00:01<00:02, 10.98it/s]
Decoding image: 44%|████▍ | 20/45 [00:01<00:02, 11.02it/s]
Decoding image: 49%|████▉ | 22/45 [00:02<00:02, 11.01it/s]
Decoding image: 53%|█████▎ | 24/45 [00:02<00:01, 10.87it/s]
Decoding image: 58%|█████▊ | 26/45 [00:02<00:01, 10.94it/s]
Decoding image: 62%|██████▏ | 28/45 [00:02<00:01, 10.86it/s]
Decoding image: 67%|██████▋ | 30/45 [00:02<00:01, 10.87it/s]
Decoding image: 71%|███████ | 32/45 [00:02<00:01, 10.78it/s]
Decoding image: 76%|███████▌ | 34/45 [00:03<00:01, 10.83it/s]
Decoding image: 80%|████████ | 36/45 [00:03<00:00, 10.89it/s]
Decoding image: 84%|████████▍ | 38/45 [00:03<00:00, 10.94it/s]
Decoding image: 89%|████████▉ | 40/45 [00:03<00:00, 11.00it/s]
Decoding image: 93%|█████████▎| 42/45 [00:03<00:00, 10.97it/s]
Decoding image: 98%|█████████▊| 44/45 [00:04<00:00, 11.01it/s]
Decoding image: 100%|██████████| 45/45 [00:04<00:00, 10.95it/s]
data: 100%|██████████| 1/1 [00:04<00:00, 4.23s/it]
data: 100%|██████████| 1/1 [00:04<00:00, 4.23s/it]
Slices: 2it [00:08, 4.27s/it]
Running DDIM Sampling with 45 timesteps
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Decoding image: 0%| | 0/45 [00:00<?, ?it/s]
Decoding image: 4%|▍ | 2/45 [00:00<00:04, 10.62it/s]
Decoding image: 9%|▉ | 4/45 [00:00<00:03, 10.93it/s]
Decoding image: 13%|█▎ | 6/45 [00:00<00:03, 10.96it/s]
Decoding image: 18%|█▊ | 8/45 [00:00<00:03, 11.03it/s]
Decoding image: 22%|██▏ | 10/45 [00:00<00:03, 11.12it/s]
Decoding image: 27%|██▋ | 12/45 [00:01<00:02, 11.21it/s]
Decoding image: 31%|███ | 14/45 [00:01<00:02, 11.27it/s]
Decoding image: 36%|███▌ | 16/45 [00:01<00:02, 11.30it/s]
Decoding image: 40%|████ | 18/45 [00:01<00:02, 11.30it/s]
Decoding image: 44%|████▍ | 20/45 [00:01<00:02, 11.32it/s]
Decoding image: 49%|████▉ | 22/45 [00:01<00:02, 11.33it/s]
Decoding image: 53%|█████▎ | 24/45 [00:02<00:01, 11.24it/s]
Decoding image: 58%|█████▊ | 26/45 [00:02<00:01, 11.21it/s]
Decoding image: 62%|██████▏ | 28/45 [00:02<00:01, 11.19it/s]
Decoding image: 67%|██████▋ | 30/45 [00:02<00:01, 11.16it/s]
Decoding image: 71%|███████ | 32/45 [00:02<00:01, 11.15it/s]
Decoding image: 76%|███████▌ | 34/45 [00:03<00:00, 11.13it/s]
Decoding image: 80%|████████ | 36/45 [00:03<00:00, 11.07it/s]
Decoding image: 84%|████████▍ | 38/45 [00:03<00:00, 11.09it/s]
Decoding image: 89%|████████▉ | 40/45 [00:03<00:00, 10.93it/s]
Decoding image: 93%|█████████▎| 42/45 [00:03<00:00, 10.73it/s]
Decoding image: 98%|█████████▊| 44/45 [00:03<00:00, 10.64it/s]
Decoding image: 100%|██████████| 45/45 [00:04<00:00, 11.03it/s]
data: 100%|██████████| 1/1 [00:04<00:00, 4.20s/it]
data: 100%|██████████| 1/1 [00:04<00:00, 4.20s/it]
Slices: 3it [00:12, 4.26s/it]
Running DDIM Sampling with 45 timesteps
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Decoding image: 0%| | 0/45 [00:00<?, ?it/s]
Decoding image: 2%|▏ | 1/45 [00:00<00:04, 9.27it/s]
Decoding image: 7%|▋ | 3/45 [00:00<00:04, 10.01it/s]
Decoding image: 11%|█ | 5/45 [00:00<00:04, 9.99it/s]
Decoding image: 13%|█▎ | 6/45 [00:00<00:03, 9.97it/s]
Decoding image: 18%|█▊ | 8/45 [00:00<00:03, 10.03it/s]
Decoding image: 22%|██▏ | 10/45 [00:00<00:03, 10.08it/s]
Decoding image: 27%|██▋ | 12/45 [00:01<00:03, 10.15it/s]
Decoding image: 31%|███ | 14/45 [00:01<00:03, 10.25it/s]
Decoding image: 36%|███▌ | 16/45 [00:01<00:02, 10.29it/s]
Decoding image: 40%|████ | 18/45 [00:01<00:02, 10.25it/s]
Decoding image: 44%|████▍ | 20/45 [00:01<00:02, 10.26it/s]
Decoding image: 49%|████▉ | 22/45 [00:02<00:02, 10.53it/s]
Decoding image: 53%|█████▎ | 24/45 [00:02<00:01, 10.72it/s]
Decoding image: 58%|█████▊ | 26/45 [00:02<00:01, 10.74it/s]
Decoding image: 62%|██████▏ | 28/45 [00:02<00:01, 10.83it/s]
Decoding image: 67%|██████▋ | 30/45 [00:02<00:01, 10.81it/s]
Decoding image: 71%|███████ | 32/45 [00:03<00:01, 10.85it/s]
Decoding image: 76%|███████▌ | 34/45 [00:03<00:01, 10.90it/s]
Decoding image: 80%|████████ | 36/45 [00:03<00:00, 10.95it/s]
Decoding image: 84%|████████▍ | 38/45 [00:03<00:00, 10.70it/s]
Decoding image: 89%|████████▉ | 40/45 [00:03<00:00, 10.79it/s]
Decoding image: 93%|█████████▎| 42/45 [00:03<00:00, 10.83it/s]
Decoding image: 98%|█████████▊| 44/45 [00:04<00:00, 10.88it/s]
Decoding image: 100%|██████████| 45/45 [00:04<00:00, 10.57it/s]
data: 100%|██████████| 1/1 [00:04<00:00, 4.37s/it]
data: 100%|██████████| 1/1 [00:04<00:00, 4.38s/it]
Slices: 4it [00:17, 4.32s/it]
Running DDIM Sampling with 45 timesteps
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Decoding image: 0%| | 0/45 [00:00<?, ?it/s]
Decoding image: 4%|▍ | 2/45 [00:00<00:04, 10.63it/s]
Decoding image: 9%|▉ | 4/45 [00:00<00:03, 10.86it/s]
Decoding image: 13%|█▎ | 6/45 [00:00<00:03, 10.66it/s]
Decoding image: 18%|█▊ | 8/45 [00:00<00:03, 10.80it/s]
Decoding image: 22%|██▏ | 10/45 [00:00<00:03, 10.87it/s]
Decoding image: 27%|██▋ | 12/45 [00:01<00:03, 10.92it/s]
Decoding image: 31%|███ | 14/45 [00:01<00:02, 10.90it/s]
Decoding image: 36%|███▌ | 16/45 [00:01<00:02, 10.91it/s]
Decoding image: 40%|████ | 18/45 [00:01<00:02, 10.99it/s]
Decoding image: 44%|████▍ | 20/45 [00:01<00:02, 11.03it/s]
Decoding image: 49%|████▉ | 22/45 [00:02<00:02, 11.06it/s]
Decoding image: 53%|█████▎ | 24/45 [00:02<00:01, 11.06it/s]
Decoding image: 58%|█████▊ | 26/45 [00:02<00:01, 11.07it/s]
Decoding image: 62%|██████▏ | 28/45 [00:02<00:01, 11.09it/s]
Decoding image: 67%|██████▋ | 30/45 [00:02<00:01, 11.13it/s]
Decoding image: 71%|███████ | 32/45 [00:02<00:01, 11.13it/s]
Decoding image: 76%|███████▌ | 34/45 [00:03<00:00, 11.14it/s]
Decoding image: 80%|████████ | 36/45 [00:03<00:00, 11.15it/s]
Decoding image: 84%|████████▍ | 38/45 [00:03<00:00, 11.14it/s]
Decoding image: 89%|████████▉ | 40/45 [00:03<00:00, 11.14it/s]
Decoding image: 93%|█████████▎| 42/45 [00:03<00:00, 11.17it/s]
Decoding image: 98%|█████████▊| 44/45 [00:03<00:00, 11.13it/s]
Decoding image: 100%|██████████| 45/45 [00:04<00:00, 11.04it/s]
data: 100%|██████████| 1/1 [00:04<00:00, 4.19s/it]
data: 100%|██████████| 1/1 [00:04<00:00, 4.19s/it]
Slices: 5it [00:21, 4.29s/it]
Running DDIM Sampling with 45 timesteps
data: 0%| | 0/1 [00:00<?, ?it/s]
Decoding image: 0%| | 0/45 [00:00<?, ?it/s]
Decoding image: 4%|▍ | 2/45 [00:00<00:04, 10.53it/s]
Decoding image: 9%|▉ | 4/45 [00:00<00:03, 10.81it/s]
Decoding image: 13%|█▎ | 6/45 [00:00<00:03, 10.91it/s]
Decoding image: 18%|█▊ | 8/45 [00:00<00:03, 10.98it/s]
Decoding image: 22%|██▏ | 10/45 [00:00<00:03, 11.05it/s]
Decoding image: 27%|██▋ | 12/45 [00:01<00:03, 10.95it/s]
Decoding image: 31%|███ | 14/45 [00:01<00:02, 10.99it/s]
Decoding image: 36%|███▌ | 16/45 [00:01<00:02, 10.93it/s]
Decoding image: 40%|████ | 18/45 [00:01<00:02, 10.97it/s]
Decoding image: 44%|████▍ | 20/45 [00:01<00:02, 10.99it/s]
Decoding image: 49%|████▉ | 22/45 [00:02<00:02, 10.88it/s]
Decoding image: 53%|█████▎ | 24/45 [00:02<00:01, 10.93it/s]
Decoding image: 58%|█████▊ | 26/45 [00:02<00:01, 10.95it/s]
Decoding image: 62%|██████▏ | 28/45 [00:02<00:01, 11.02it/s]
Decoding image: 67%|██████▋ | 30/45 [00:02<00:01, 11.04it/s]
Decoding image: 71%|███████ | 32/45 [00:02<00:01, 11.06it/s]
Decoding image: 76%|███████▌ | 34/45 [00:03<00:00, 11.05it/s]
Decoding image: 80%|████████ | 36/45 [00:03<00:00, 10.99it/s]
Decoding image: 84%|████████▍ | 38/45 [00:03<00:00, 10.99it/s]
Decoding image: 89%|████████▉ | 40/45 [00:03<00:00, 10.96it/s]
Decoding image: 93%|█████████▎| 42/45 [00:03<00:00, 10.97it/s]
Decoding image: 98%|█████████▊| 44/45 [00:04<00:00, 10.99it/s]
Decoding image: 100%|██████████| 45/45 [00:04<00:00, 10.95it/s]
data: 100%|██████████| 1/1 [00:04<00:00, 4.22s/it]
data: 100%|██████████| 1/1 [00:04<00:00, 4.22s/it]
Slices: 6it [00:25, 4.28s/it]
Running DDIM Sampling with 45 timesteps
data: 0%| | 0/1 [00:00<?, ?it/s]
Decoding image: 0%| | 0/45 [00:00<?, ?it/s]
Decoding image: 4%|▍ | 2/45 [00:00<00:04, 10.55it/s]
Decoding image: 9%|▉ | 4/45 [00:00<00:03, 10.73it/s]
Decoding image: 13%|█▎ | 6/45 [00:00<00:03, 10.75it/s]
Decoding image: 18%|█▊ | 8/45 [00:00<00:03, 10.50it/s]
Decoding image: 22%|██▏ | 10/45 [00:00<00:03, 10.63it/s]
Decoding image: 27%|██▋ | 12/45 [00:01<00:03, 10.72it/s]
Decoding image: 31%|███ | 14/45 [00:01<00:02, 10.87it/s]
Decoding image: 36%|███▌ | 16/45 [00:01<00:02, 10.88it/s]
Decoding image: 40%|████ | 18/45 [00:01<00:02, 10.90it/s]
Decoding image: 44%|████▍ | 20/45 [00:01<00:02, 10.97it/s]
Decoding image: 49%|████▉ | 22/45 [00:02<00:02, 10.95it/s]
Decoding image: 53%|█████▎ | 24/45 [00:02<00:01, 10.91it/s]
Decoding image: 58%|█████▊ | 26/45 [00:02<00:01, 10.95it/s]
Decoding image: 62%|██████▏ | 28/45 [00:02<00:01, 10.94it/s]
Decoding image: 67%|██████▋ | 30/45 [00:02<00:01, 10.98it/s]
Decoding image: 71%|███████ | 32/45 [00:02<00:01, 10.90it/s]
Decoding image: 76%|███████▌ | 34/45 [00:03<00:01, 10.94it/s]
Decoding image: 80%|████████ | 36/45 [00:03<00:00, 11.04it/s]
Decoding image: 84%|████████▍ | 38/45 [00:03<00:00, 11.01it/s]
Decoding image: 89%|████████▉ | 40/45 [00:03<00:00, 11.07it/s]
Decoding image: 93%|█████████▎| 42/45 [00:03<00:00, 11.03it/s]
Decoding image: 98%|█████████▊| 44/45 [00:04<00:00, 11.02it/s]
Decoding image: 100%|██████████| 45/45 [00:04<00:00, 10.91it/s]
data: 100%|██████████| 1/1 [00:04<00:00, 4.24s/it]
data: 100%|██████████| 1/1 [00:04<00:00, 4.24s/it]
Slices: 7it [00:29, 4.28s/it]
Running DDIM Sampling with 45 timesteps
data: 0%| | 0/1 [00:00<?, ?it/s]
Decoding image: 0%| | 0/45 [00:00<?, ?it/s]
Decoding image: 2%|▏ | 1/45 [00:00<00:04, 9.99it/s]
Decoding image: 7%|▋ | 3/45 [00:00<00:03, 10.89it/s]
Decoding image: 11%|█ | 5/45 [00:00<00:03, 11.09it/s]
Decoding image: 16%|█▌ | 7/45 [00:00<00:03, 11.02it/s]
Decoding image: 20%|██ | 9/45 [00:00<00:03, 10.99it/s]
Decoding image: 24%|██▍ | 11/45 [00:01<00:03, 10.95it/s]
Decoding image: 29%|██▉ | 13/45 [00:01<00:02, 11.02it/s]
Decoding image: 33%|███▎ | 15/45 [00:01<00:02, 11.02it/s]
Decoding image: 38%|███▊ | 17/45 [00:01<00:02, 11.10it/s]
Decoding image: 42%|████▏ | 19/45 [00:01<00:02, 10.99it/s]
Decoding image: 47%|████▋ | 21/45 [00:01<00:02, 10.85it/s]
Decoding image: 51%|█████ | 23/45 [00:02<00:02, 10.90it/s]
Decoding image: 56%|█████▌ | 25/45 [00:02<00:01, 10.87it/s]
Decoding image: 60%|██████ | 27/45 [00:02<00:01, 10.93it/s]
Decoding image: 64%|██████▍ | 29/45 [00:02<00:01, 10.98it/s]
Decoding image: 69%|██████▉ | 31/45 [00:02<00:01, 10.80it/s]
Decoding image: 73%|███████▎ | 33/45 [00:03<00:01, 10.84it/s]
Decoding image: 78%|███████▊ | 35/45 [00:03<00:00, 10.83it/s]
Decoding image: 82%|████████▏ | 37/45 [00:03<00:00, 10.90it/s]
Decoding image: 87%|████████▋ | 39/45 [00:03<00:00, 10.82it/s]
Decoding image: 91%|█████████ | 41/45 [00:03<00:00, 10.78it/s]
Decoding image: 96%|█████████▌| 43/45 [00:03<00:00, 10.90it/s]
Decoding image: 100%|██████████| 45/45 [00:04<00:00, 10.88it/s]
Decoding image: 100%|██████████| 45/45 [00:04<00:00, 10.91it/s]
data: 100%|██████████| 1/1 [00:04<00:00, 4.24s/it]
data: 100%|██████████| 1/1 [00:04<00:00, 4.24s/it]
Slices: 8it [00:34, 4.28s/it]
Running DDIM Sampling with 45 timesteps
data: 0%| | 0/1 [00:00<?, ?it/s]
Decoding image: 0%| | 0/45 [00:00<?, ?it/s]
Decoding image: 4%|▍ | 2/45 [00:00<00:03, 10.78it/s]
Decoding image: 9%|▉ | 4/45 [00:00<00:03, 10.78it/s]
Decoding image: 13%|█▎ | 6/45 [00:00<00:03, 10.90it/s]
Decoding image: 18%|█▊ | 8/45 [00:00<00:03, 10.86it/s]
Decoding image: 22%|██▏ | 10/45 [00:00<00:03, 10.97it/s]
Decoding image: 27%|██▋ | 12/45 [00:01<00:02, 11.05it/s]
Decoding image: 31%|███ | 14/45 [00:01<00:02, 11.02it/s]
Decoding image: 36%|███▌ | 16/45 [00:01<00:02, 11.06it/s]
Decoding image: 40%|████ | 18/45 [00:01<00:02, 10.89it/s]
Decoding image: 44%|████▍ | 20/45 [00:01<00:02, 10.97it/s]
Decoding image: 49%|████▉ | 22/45 [00:02<00:02, 10.93it/s]
Decoding image: 53%|█████▎ | 24/45 [00:02<00:01, 10.74it/s]
Decoding image: 58%|█████▊ | 26/45 [00:02<00:01, 10.77it/s]
Decoding image: 62%|██████▏ | 28/45 [00:02<00:01, 10.62it/s]
Decoding image: 67%|██████▋ | 30/45 [00:02<00:01, 10.72it/s]
Decoding image: 71%|███████ | 32/45 [00:02<00:01, 10.81it/s]
Decoding image: 76%|███████▌ | 34/45 [00:03<00:01, 10.84it/s]
Decoding image: 80%|████████ | 36/45 [00:03<00:00, 10.88it/s]
Decoding image: 84%|████████▍ | 38/45 [00:03<00:00, 10.83it/s]
Decoding image: 89%|████████▉ | 40/45 [00:03<00:00, 10.80it/s]
Decoding image: 93%|█████████▎| 42/45 [00:03<00:00, 10.74it/s]
Decoding image: 98%|█████████▊| 44/45 [00:04<00:00, 10.81it/s]
Decoding image: 100%|██████████| 45/45 [00:04<00:00, 10.85it/s]
data: 100%|██████████| 1/1 [00:04<00:00, 4.26s/it]
data: 100%|██████████| 1/1 [00:04<00:00, 4.26s/it]
Slices: 9it [00:38, 4.28s/it]
Slices: 9it [00:38, 4.28s/it]
Passes: 100%|██████████| 1/1 [00:40<00:00, 40.77s/it]
Passes: 100%|██████████| 1/1 [00:40<00:00, 40.77s/it]