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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: 50,
prompt: "concept art of a far-future city, key visual, summer day, highly detailed, digital painting, artstation, concept art, sharp focus, in harmony with nature, streamlined, by makoto shinkai and akihiko yoshida and hidari and wlop",
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": 50,
"prompt": "concept art of a far-future city, key visual, summer day, highly detailed, digital painting, artstation, concept art, sharp focus, in harmony with nature, streamlined, by makoto shinkai and akihiko yoshida and hidari and wlop",
"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": 50,
"prompt": "concept art of a far-future city, key visual, summer day, highly detailed, digital painting, artstation, concept art, sharp focus, in harmony with nature, streamlined, by makoto shinkai and akihiko yoshida and hidari and wlop",
"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=50' \
-i 'prompt="concept art of a far-future city, key visual, summer day, highly detailed, digital painting, artstation, concept art, sharp focus, in harmony with nature, streamlined, by makoto shinkai and akihiko yoshida and hidari and wlop"' \
-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": 50, "prompt": "concept art of a far-future city, key visual, summer day, highly detailed, digital painting, artstation, concept art, sharp focus, in harmony with nature, streamlined, by makoto shinkai and akihiko yoshida and hidari and wlop", "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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Output
{
"completed_at": "2022-09-14T21:04:16.706152Z",
"created_at": "2022-09-14T21:03:28.221795Z",
"data_removed": false,
"error": null,
"id": "rsu2lh2co5gu3hv65cocd3mvda",
"input": {
"scale": 7.5,
"steps": 50,
"prompt": "concept art of a far-future city, key visual, summer day, highly detailed, digital painting, artstation, concept art, sharp focus, in harmony with nature, streamlined, by makoto shinkai and akihiko yoshida and hidari and wlop",
"ori_width": 512,
"ori_height": 512
},
"logs": "Using seed 3156987251. Enter this in 'seed' if you want to produce the same output again!\nGlobal seed set to 3156987251\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 50 timesteps\ndata: 0%| | 0/1 [00:00<?, ?it/s]\u001b[A\n\n\nDDIM Sampler: 0%| | 0/50 [00:00<?, ?it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 2%|▏ | 1/50 [00:00<00:07, 6.63it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 6%|▌ | 3/50 [00:00<00:05, 9.01it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 10%|█ | 5/50 [00:00<00:04, 9.99it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 14%|█▍ | 7/50 [00:00<00:04, 10.44it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 18%|█▊ | 9/50 [00:00<00:03, 10.28it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 22%|██▏ | 11/50 [00:01<00:03, 10.54it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 26%|██▌ | 13/50 [00:01<00:03, 10.33it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 30%|███ | 15/50 [00:01<00:03, 10.55it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 34%|███▍ | 17/50 [00:01<00:03, 10.71it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 38%|███▊ | 19/50 [00:01<00:02, 10.45it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 42%|████▏ | 21/50 [00:02<00:02, 10.59it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 46%|████▌ | 23/50 [00:02<00:02, 10.73it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 50%|█████ | 25/50 [00:02<00:02, 10.54it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 54%|█████▍ | 27/50 [00:02<00:02, 10.52it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 58%|█████▊ | 29/50 [00:02<00:02, 10.48it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 62%|██████▏ | 31/50 [00:02<00:01, 10.68it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 66%|██████▌ | 33/50 [00:03<00:01, 10.81it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 70%|███████ | 35/50 [00:03<00:01, 10.66it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 74%|███████▍ | 37/50 [00:03<00:01, 10.84it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 78%|███████▊ | 39/50 [00:03<00:01, 10.61it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 82%|████████▏ | 41/50 [00:03<00:00, 10.78it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 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10.80it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 96%|█████████▌| 43/45 [00:03<00:00, 10.88it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 100%|██████████| 45/45 [00:04<00:00, 10.95it/s]\u001b[A\u001b[A\u001b[A\nDecoding image: 100%|██████████| 45/45 [00:04<00:00, 10.86it/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: 6it [00:25, 4.30s/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, 10.83it/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, 11.00it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 22%|██▏ | 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[00:02<00:01, 10.89it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 76%|███████▌ | 34/45 [00:03<00:01, 10.87it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 80%|████████ | 36/45 [00:03<00:00, 10.92it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 84%|████████▍ | 38/45 [00:03<00:00, 10.80it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 89%|████████▉ | 40/45 [00:03<00:00, 10.75it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 93%|█████████▎| 42/45 [00:03<00:00, 10.80it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 98%|█████████▊| 44/45 [00:04<00:00, 10.88it/s]\u001b[A\u001b[A\u001b[A\nDecoding image: 100%|██████████| 45/45 [00:04<00:00, 10.84it/s]\n\n\n\ndata: 100%|██████████| 1/1 [00:04<00:00, 4.27s/it]\u001b[A\u001b[A\ndata: 100%|██████████| 1/1 [00:04<00:00, 4.27s/it]\n\n\nSlices: 7it [00:30, 4.30s/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, 10.54it/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, 10.88it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 18%|█▊ | 8/45 [00:00<00:03, 10.88it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 22%|██▏ | 10/45 [00:00<00:03, 10.83it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 27%|██▋ | 12/45 [00:01<00:03, 10.69it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 31%|███ | 14/45 [00:01<00:02, 10.76it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 36%|███▌ | 16/45 [00:01<00:02, 10.79it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 40%|████ | 18/45 [00:01<00:02, 10.74it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 44%|████▍ | 20/45 [00:01<00:02, 10.84it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 49%|████▉ | 22/45 [00:02<00:02, 10.86it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 53%|█████▎ | 24/45 [00:02<00:01, 10.83it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 58%|█████▊ | 26/45 [00:02<00:01, 10.94it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 62%|██████▏ | 28/45 [00:02<00:01, 10.94it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 67%|██████▋ | 30/45 [00:02<00:01, 11.02it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 71%|███████ | 32/45 [00:02<00:01, 11.08it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 76%|███████▌ | 34/45 [00:03<00:00, 11.05it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 80%|████████ | 36/45 [00:03<00:00, 11.12it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 84%|████████▍ | 38/45 [00:03<00:00, 11.09it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 89%|████████▉ | 40/45 [00:03<00:00, 11.16it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 93%|█████████▎| 42/45 [00:03<00:00, 11.16it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 98%|█████████▊| 44/45 [00:04<00:00, 11.13it/s]\u001b[A\u001b[A\u001b[A\nDecoding image: 100%|██████████| 45/45 [00:04<00:00, 10.96it/s]\n\n\n\ndata: 100%|██████████| 1/1 [00:04<00:00, 4.22s/it]\u001b[A\u001b[A\ndata: 100%|██████████| 1/1 [00:04<00:00, 4.22s/it]\n\n\nSlices: 8it [00:34, 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, 10.73it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 9%|▉ | 4/45 [00:00<00:03, 10.83it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 13%|█▎ | 6/45 [00:00<00:03, 10.96it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 18%|█▊ | 8/45 [00:00<00:03, 11.09it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 22%|██▏ | 10/45 [00:00<00:03, 10.86it/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, 11.06it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 36%|███▌ | 16/45 [00:01<00:02, 11.12it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 40%|████ | 18/45 [00:01<00:02, 11.09it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 44%|████▍ | 20/45 [00:01<00:02, 11.14it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 49%|████▉ | 22/45 [00:01<00:02, 11.16it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 53%|█████▎ | 24/45 [00:02<00:01, 11.13it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 58%|█████▊ | 26/45 [00:02<00:01, 11.15it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 62%|██████▏ | 28/45 [00:02<00:01, 11.15it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 67%|██████▋ | 30/45 [00:02<00:01, 11.17it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 71%|███████ | 32/45 [00:02<00:01, 11.14it/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, 10.97it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 84%|████████▍ | 38/45 [00:03<00:00, 11.08it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 89%|████████▉ | 40/45 [00:03<00:00, 11.06it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 93%|█████████▎| 42/45 [00:03<00:00, 11.11it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 98%|█████████▊| 44/45 [00:03<00:00, 11.00it/s]\u001b[A\u001b[A\u001b[A\nDecoding image: 100%|██████████| 45/45 [00:04<00:00, 11.05it/s]\n\n\n\ndata: 100%|██████████| 1/1 [00:04<00:00, 4.18s/it]\u001b[A\u001b[A\ndata: 100%|██████████| 1/1 [00:04<00:00, 4.18s/it]\n\n\nSlices: 9it [00:38, 4.27s/it]\u001b[A\nSlices: 9it [00:38, 4.30s/it]\n\nPasses: 100%|██████████| 1/1 [00:40<00:00, 40.94s/it]\nPasses: 100%|██████████| 1/1 [00:40<00:00, 40.94s/it]",
"metrics": {
"predict_time": 48.336785,
"total_time": 48.484357
},
"output": "https://replicate.delivery/mgxm/e708b96e-735a-4dd8-9ca5-17acd46e76ff/out.png",
"started_at": "2022-09-14T21:03:28.369367Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/rsu2lh2co5gu3hv65cocd3mvda",
"cancel": "https://api.replicate.com/v1/predictions/rsu2lh2co5gu3hv65cocd3mvda/cancel"
},
"version": "6cba009c63dce77592f864a4d3584ec21c59d92f4ba2da78319ada831e3725fc"
}Generated in
Using seed 3156987251. Enter this in 'seed' if you want to produce the same output again!
Global seed set to 3156987251
Sampling: 0%| | 0/1 [00:00<?, ?it/s]
Data shape for DDIM sampling is (1, 4, 64, 64), eta 0
Running DDIM Sampling with 50 timesteps
data: 0%| | 0/1 [00:00<?, ?it/s]
DDIM Sampler: 0%| | 0/50 [00:00<?, ?it/s]
DDIM Sampler: 2%|▏ | 1/50 [00:00<00:07, 6.63it/s]
DDIM Sampler: 6%|▌ | 3/50 [00:00<00:05, 9.01it/s]
DDIM Sampler: 10%|█ | 5/50 [00:00<00:04, 9.99it/s]
DDIM Sampler: 14%|█▍ | 7/50 [00:00<00:04, 10.44it/s]
DDIM Sampler: 18%|█▊ | 9/50 [00:00<00:03, 10.28it/s]
DDIM Sampler: 22%|██▏ | 11/50 [00:01<00:03, 10.54it/s]
DDIM Sampler: 26%|██▌ | 13/50 [00:01<00:03, 10.33it/s]
DDIM Sampler: 30%|███ | 15/50 [00:01<00:03, 10.55it/s]
DDIM Sampler: 34%|███▍ | 17/50 [00:01<00:03, 10.71it/s]
DDIM Sampler: 38%|███▊ | 19/50 [00:01<00:02, 10.45it/s]
DDIM Sampler: 42%|████▏ | 21/50 [00:02<00:02, 10.59it/s]
DDIM Sampler: 46%|████▌ | 23/50 [00:02<00:02, 10.73it/s]
DDIM Sampler: 50%|█████ | 25/50 [00:02<00:02, 10.54it/s]
DDIM Sampler: 54%|█████▍ | 27/50 [00:02<00:02, 10.52it/s]
DDIM Sampler: 58%|█████▊ | 29/50 [00:02<00:02, 10.48it/s]
DDIM Sampler: 62%|██████▏ | 31/50 [00:02<00:01, 10.68it/s]
DDIM Sampler: 66%|██████▌ | 33/50 [00:03<00:01, 10.81it/s]
DDIM Sampler: 70%|███████ | 35/50 [00:03<00:01, 10.66it/s]
DDIM Sampler: 74%|███████▍ | 37/50 [00:03<00:01, 10.84it/s]
DDIM Sampler: 78%|███████▊ | 39/50 [00:03<00:01, 10.61it/s]
DDIM Sampler: 82%|████████▏ | 41/50 [00:03<00:00, 10.78it/s]
DDIM Sampler: 86%|████████▌ | 43/50 [00:04<00:00, 10.89it/s]
DDIM Sampler: 90%|█████████ | 45/50 [00:04<00:00, 10.60it/s]
DDIM Sampler: 94%|█████████▍| 47/50 [00:04<00:00, 10.72it/s]
DDIM Sampler: 98%|█████████▊| 49/50 [00:04<00:00, 10.83it/s]
DDIM Sampler: 100%|██████████| 50/50 [00:04<00:00, 10.54it/s]
data: 100%|██████████| 1/1 [00:05<00:00, 5.80s/it]
data: 100%|██████████| 1/1 [00:05<00:00, 5.80s/it]
Sampling: 100%|██████████| 1/1 [00:05<00:00, 5.80s/it]
Sampling: 100%|██████████| 1/1 [00:05<00:00, 5.80s/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<00:05, 8.64it/s]
Decoding image: 7%|▋ | 3/45 [00:00<00:04, 10.26it/s]
Decoding image: 11%|█ | 5/45 [00:00<00:03, 10.46it/s]
Decoding image: 16%|█▌ | 7/45 [00:00<00:03, 10.39it/s]
Decoding image: 20%|██ | 9/45 [00:00<00:03, 10.62it/s]
Decoding image: 24%|██▍ | 11/45 [00:01<00:03, 10.58it/s]
Decoding image: 29%|██▉ | 13/45 [00:01<00:03, 10.61it/s]
Decoding image: 33%|███▎ | 15/45 [00:01<00:02, 10.72it/s]
Decoding image: 38%|███▊ | 17/45 [00:01<00:02, 10.50it/s]
Decoding image: 42%|████▏ | 19/45 [00:01<00:02, 10.63it/s]
Decoding image: 47%|████▋ | 21/45 [00:01<00:02, 10.74it/s]
Decoding image: 51%|█████ | 23/45 [00:02<00:02, 10.54it/s]
Decoding image: 56%|█████▌ | 25/45 [00:02<00:01, 10.55it/s]
Decoding image: 60%|██████ | 27/45 [00:02<00:01, 10.42it/s]
Decoding image: 64%|██████▍ | 29/45 [00:02<00:01, 10.56it/s]
Decoding image: 69%|██████▉ | 31/45 [00:02<00:01, 10.64it/s]
Decoding image: 73%|███████▎ | 33/45 [00:03<00:01, 10.60it/s]
Decoding image: 78%|███████▊ | 35/45 [00:03<00:00, 10.72it/s]
Decoding image: 82%|████████▏ | 37/45 [00:03<00:00, 10.67it/s]
Decoding image: 87%|████████▋ | 39/45 [00:03<00:00, 10.76it/s]
Decoding image: 91%|█████████ | 41/45 [00:03<00:00, 10.77it/s]
Decoding image: 96%|█████████▌| 43/45 [00:04<00:00, 10.69it/s]
Decoding image: 100%|██████████| 45/45 [00:04<00:00, 10.69it/s]
Decoding image: 100%|██████████| 45/45 [00:04<00:00, 10.60it/s]
data: 100%|██████████| 1/1 [00:04<00:00, 4.36s/it]
data: 100%|██████████| 1/1 [00:04<00:00, 4.36s/it]
Slices: 1it [00:04, 4.41s/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, 9.81it/s]
Decoding image: 7%|▋ | 3/45 [00:00<00:04, 10.35it/s]
Decoding image: 11%|█ | 5/45 [00:00<00:03, 10.63it/s]
Decoding image: 16%|█▌ | 7/45 [00:00<00:03, 10.29it/s]
Decoding image: 20%|██ | 9/45 [00:00<00:03, 10.45it/s]
Decoding image: 24%|██▍ | 11/45 [00:01<00:03, 10.56it/s]
Decoding image: 29%|██▉ | 13/45 [00:01<00:03, 10.41it/s]
Decoding image: 33%|███▎ | 15/45 [00:01<00:02, 10.53it/s]
Decoding image: 38%|███▊ | 17/45 [00:01<00:02, 10.53it/s]
Decoding image: 42%|████▏ | 19/45 [00:01<00:02, 10.72it/s]
Decoding image: 47%|████▋ | 21/45 [00:01<00:02, 10.60it/s]
Decoding image: 51%|█████ | 23/45 [00:02<00:02, 10.75it/s]
Decoding image: 56%|█████▌ | 25/45 [00:02<00:01, 10.75it/s]
Decoding image: 60%|██████ | 27/45 [00:02<00:01, 10.85it/s]
Decoding image: 64%|██████▍ | 29/45 [00:02<00:01, 10.73it/s]
Decoding image: 69%|██████▉ | 31/45 [00:02<00:01, 10.80it/s]
Decoding image: 73%|███████▎ | 33/45 [00:03<00:01, 10.65it/s]
Decoding image: 78%|███████▊ | 35/45 [00:03<00:00, 10.73it/s]
Decoding image: 82%|████████▏ | 37/45 [00:03<00:00, 10.62it/s]
Decoding image: 87%|████████▋ | 39/45 [00:03<00:00, 10.78it/s]
Decoding image: 91%|█████████ | 41/45 [00:03<00:00, 10.91it/s]
Decoding image: 96%|█████████▌| 43/45 [00:04<00:00, 10.83it/s]
Decoding image: 100%|██████████| 45/45 [00:04<00:00, 10.90it/s]
Decoding image: 100%|██████████| 45/45 [00:04<00:00, 10.69it/s]
data: 100%|██████████| 1/1 [00:04<00:00, 4.33s/it]
data: 100%|██████████| 1/1 [00:04<00:00, 4.33s/it]
Slices: 2it [00:08, 4.38s/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, 10.95it/s]
Decoding image: 9%|▉ | 4/45 [00:00<00:03, 10.88it/s]
Decoding image: 13%|█▎ | 6/45 [00:00<00:03, 11.08it/s]
Decoding image: 18%|█▊ | 8/45 [00:00<00:03, 11.20it/s]
Decoding image: 22%|██▏ | 10/45 [00:00<00:03, 11.22it/s]
Decoding image: 27%|██▋ | 12/45 [00:01<00:02, 11.03it/s]
Decoding image: 31%|███ | 14/45 [00:01<00:02, 11.14it/s]
Decoding image: 36%|███▌ | 16/45 [00:01<00:02, 11.23it/s]
Decoding image: 40%|████ | 18/45 [00:01<00:02, 11.17it/s]
Decoding image: 44%|████▍ | 20/45 [00:01<00:02, 11.00it/s]
Decoding image: 49%|████▉ | 22/45 [00:01<00:02, 11.07it/s]
Decoding image: 53%|█████▎ | 24/45 [00:02<00:01, 11.13it/s]
Decoding image: 58%|█████▊ | 26/45 [00:02<00:01, 11.16it/s]
Decoding image: 62%|██████▏ | 28/45 [00:02<00:01, 11.05it/s]
Decoding image: 67%|██████▋ | 30/45 [00:02<00:01, 11.11it/s]
Decoding image: 71%|███████ | 32/45 [00:02<00:01, 11.11it/s]
Decoding image: 76%|███████▌ | 34/45 [00:03<00:00, 11.14it/s]
Decoding image: 80%|████████ | 36/45 [00:03<00:00, 10.93it/s]
Decoding image: 84%|████████▍ | 38/45 [00:03<00:00, 10.99it/s]
Decoding image: 89%|████████▉ | 40/45 [00:03<00:00, 11.03it/s]
Decoding image: 93%|█████████▎| 42/45 [00:03<00:00, 10.88it/s]
Decoding image: 98%|█████████▊| 44/45 [00:03<00:00, 10.94it/s]
Decoding image: 100%|██████████| 45/45 [00:04<00:00, 11.06it/s]
data: 100%|██████████| 1/1 [00:04<00:00, 4.18s/it]
data: 100%|██████████| 1/1 [00:04<00:00, 4.18s/it]
Slices: 3it [00:12, 4.31s/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, 10.19it/s]
Decoding image: 9%|▉ | 4/45 [00:00<00:03, 10.74it/s]
Decoding image: 13%|█▎ | 6/45 [00:00<00:03, 10.87it/s]
Decoding image: 18%|█▊ | 8/45 [00:00<00:03, 10.74it/s]
Decoding image: 22%|██▏ | 10/45 [00:00<00:03, 10.93it/s]
Decoding image: 27%|██▋ | 12/45 [00:01<00:03, 10.90it/s]
Decoding image: 31%|███ | 14/45 [00:01<00:02, 11.04it/s]
Decoding image: 36%|███▌ | 16/45 [00:01<00:02, 11.13it/s]
Decoding image: 40%|████ | 18/45 [00:01<00:02, 11.07it/s]
Decoding image: 44%|████▍ | 20/45 [00:01<00:02, 11.11it/s]
Decoding image: 49%|████▉ | 22/45 [00:02<00:02, 11.15it/s]
Decoding image: 53%|█████▎ | 24/45 [00:02<00:01, 11.08it/s]
Decoding image: 58%|█████▊ | 26/45 [00:02<00:01, 10.98it/s]
Decoding image: 62%|██████▏ | 28/45 [00:02<00:01, 11.02it/s]
Decoding image: 67%|██████▋ | 30/45 [00:02<00:01, 11.05it/s]
Decoding image: 71%|███████ | 32/45 [00:02<00:01, 11.00it/s]
Decoding image: 76%|███████▌ | 34/45 [00:03<00:01, 10.86it/s]
Decoding image: 80%|████████ | 36/45 [00:03<00:00, 10.98it/s]
Decoding image: 84%|████████▍ | 38/45 [00:03<00:00, 11.03it/s]
Decoding image: 89%|████████▉ | 40/45 [00:03<00:00, 11.03it/s]
Decoding image: 93%|█████████▎| 42/45 [00:03<00:00, 10.91it/s]
Decoding image: 98%|█████████▊| 44/45 [00:04<00:00, 10.97it/s]
Decoding image: 100%|██████████| 45/45 [00:04<00:00, 10.98it/s]
data: 100%|██████████| 1/1 [00:04<00:00, 4.21s/it]
data: 100%|██████████| 1/1 [00:04<00:00, 4.21s/it]
Slices: 4it [00:17, 4.29s/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<00:04, 9.99it/s]
Decoding image: 13%|█▎ | 6/45 [00:00<00:03, 10.57it/s]
Decoding image: 18%|█▊ | 8/45 [00:00<00:03, 10.83it/s]
Decoding image: 22%|██▏ | 10/45 [00:00<00:03, 10.71it/s]
Decoding image: 27%|██▋ | 12/45 [00:01<00:03, 10.85it/s]
Decoding image: 31%|███ | 14/45 [00:01<00:02, 10.84it/s]
Decoding image: 36%|███▌ | 16/45 [00:01<00:02, 10.72it/s]
Decoding image: 40%|████ | 18/45 [00:01<00:02, 10.54it/s]
Decoding image: 44%|████▍ | 20/45 [00:01<00:02, 10.71it/s]
Decoding image: 49%|████▉ | 22/45 [00:02<00:02, 10.79it/s]
Decoding image: 53%|█████▎ | 24/45 [00:02<00:01, 10.71it/s]
Decoding image: 58%|█████▊ | 26/45 [00:02<00:01, 10.81it/s]
Decoding image: 62%|██████▏ | 28/45 [00:02<00:01, 10.84it/s]
Decoding image: 67%|██████▋ | 30/45 [00:02<00:01, 10.96it/s]
Decoding image: 71%|███████ | 32/45 [00:02<00:01, 10.81it/s]
Decoding image: 76%|███████▌ | 34/45 [00:03<00:01, 10.85it/s]
Decoding image: 80%|████████ | 36/45 [00:03<00:00, 10.89it/s]
Decoding image: 84%|████████▍ | 38/45 [00:03<00:00, 10.83it/s]
Decoding image: 89%|████████▉ | 40/45 [00:03<00:00, 10.85it/s]
Decoding image: 93%|█████████▎| 42/45 [00:03<00:00, 10.77it/s]
Decoding image: 98%|█████████▊| 44/45 [00:04<00:00, 10.82it/s]
Decoding image: 100%|██████████| 45/45 [00:04<00:00, 10.77it/s]
data: 100%|██████████| 1/1 [00:04<00:00, 4.29s/it]
data: 100%|██████████| 1/1 [00:04<00:00, 4.29s/it]
Slices: 5it [00:21, 4.30s/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, 8.85it/s]
Decoding image: 7%|▋ | 3/45 [00:00<00:04, 10.25it/s]
Decoding image: 11%|█ | 5/45 [00:00<00:03, 10.59it/s]
Decoding image: 16%|█▌ | 7/45 [00:00<00:03, 10.79it/s]
Decoding image: 20%|██ | 9/45 [00:00<00:03, 10.67it/s]
Decoding image: 24%|██▍ | 11/45 [00:01<00:03, 10.87it/s]
Decoding image: 29%|██▉ | 13/45 [00:01<00:02, 10.98it/s]
Decoding image: 33%|███▎ | 15/45 [00:01<00:02, 11.00it/s]
Decoding image: 38%|███▊ | 17/45 [00:01<00:02, 10.90it/s]
Decoding image: 42%|████▏ | 19/45 [00:01<00:02, 10.90it/s]
Decoding image: 47%|████▋ | 21/45 [00:01<00:02, 10.85it/s]
Decoding image: 51%|█████ | 23/45 [00:02<00:02, 10.89it/s]
Decoding image: 56%|█████▌ | 25/45 [00:02<00:01, 10.91it/s]
Decoding image: 60%|██████ | 27/45 [00:02<00:01, 10.93it/s]
Decoding image: 64%|██████▍ | 29/45 [00:02<00:01, 10.94it/s]
Decoding image: 69%|██████▉ | 31/45 [00:02<00:01, 10.88it/s]
Decoding image: 73%|███████▎ | 33/45 [00:03<00:01, 10.88it/s]
Decoding image: 78%|███████▊ | 35/45 [00:03<00:00, 10.89it/s]
Decoding image: 82%|████████▏ | 37/45 [00:03<00:00, 10.91it/s]
Decoding image: 87%|████████▋ | 39/45 [00:03<00:00, 10.95it/s]
Decoding image: 91%|█████████ | 41/45 [00:03<00:00, 10.80it/s]
Decoding image: 96%|█████████▌| 43/45 [00:03<00:00, 10.88it/s]
Decoding image: 100%|██████████| 45/45 [00:04<00:00, 10.95it/s]
Decoding image: 100%|██████████| 45/45 [00:04<00:00, 10.86it/s]
data: 100%|██████████| 1/1 [00:04<00:00, 4.26s/it]
data: 100%|██████████| 1/1 [00:04<00:00, 4.26s/it]
Slices: 6it [00:25, 4.30s/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<00:03, 10.78it/s]
Decoding image: 9%|▉ | 4/45 [00:00<00:03, 10.83it/s]
Decoding image: 13%|█▎ | 6/45 [00:00<00:03, 10.90it/s]
Decoding image: 18%|█▊ | 8/45 [00:00<00:03, 11.00it/s]
Decoding image: 22%|██▏ | 10/45 [00:00<00:03, 10.88it/s]
Decoding image: 27%|██▋ | 12/45 [00:01<00:03, 10.86it/s]
Decoding image: 31%|███ | 14/45 [00:01<00:02, 10.91it/s]
Decoding image: 36%|███▌ | 16/45 [00:01<00:02, 10.79it/s]
Decoding image: 40%|████ | 18/45 [00:01<00:02, 10.54it/s]
Decoding image: 44%|████▍ | 20/45 [00:01<00:02, 10.70it/s]
Decoding image: 49%|████▉ | 22/45 [00:02<00:02, 10.78it/s]
Decoding image: 53%|█████▎ | 24/45 [00:02<00:01, 10.81it/s]
Decoding image: 58%|█████▊ | 26/45 [00:02<00:01, 10.88it/s]
Decoding image: 62%|██████▏ | 28/45 [00:02<00:01, 10.85it/s]
Decoding image: 67%|██████▋ | 30/45 [00:02<00:01, 10.84it/s]
Decoding image: 71%|███████ | 32/45 [00:02<00:01, 10.89it/s]
Decoding image: 76%|███████▌ | 34/45 [00:03<00:01, 10.87it/s]
Decoding image: 80%|████████ | 36/45 [00:03<00:00, 10.92it/s]
Decoding image: 84%|████████▍ | 38/45 [00:03<00:00, 10.80it/s]
Decoding image: 89%|████████▉ | 40/45 [00:03<00:00, 10.75it/s]
Decoding image: 93%|█████████▎| 42/45 [00:03<00:00, 10.80it/s]
Decoding image: 98%|█████████▊| 44/45 [00:04<00:00, 10.88it/s]
Decoding image: 100%|██████████| 45/45 [00:04<00:00, 10.84it/s]
data: 100%|██████████| 1/1 [00:04<00:00, 4.27s/it]
data: 100%|██████████| 1/1 [00:04<00:00, 4.27s/it]
Slices: 7it [00:30, 4.30s/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, 10.54it/s]
Decoding image: 9%|▉ | 4/45 [00:00<00:03, 10.81it/s]
Decoding image: 13%|█▎ | 6/45 [00:00<00:03, 10.88it/s]
Decoding image: 18%|█▊ | 8/45 [00:00<00:03, 10.88it/s]
Decoding image: 22%|██▏ | 10/45 [00:00<00:03, 10.83it/s]
Decoding image: 27%|██▋ | 12/45 [00:01<00:03, 10.69it/s]
Decoding image: 31%|███ | 14/45 [00:01<00:02, 10.76it/s]
Decoding image: 36%|███▌ | 16/45 [00:01<00:02, 10.79it/s]
Decoding image: 40%|████ | 18/45 [00:01<00:02, 10.74it/s]
Decoding image: 44%|████▍ | 20/45 [00:01<00:02, 10.84it/s]
Decoding image: 49%|████▉ | 22/45 [00:02<00:02, 10.86it/s]
Decoding image: 53%|█████▎ | 24/45 [00:02<00:01, 10.83it/s]
Decoding image: 58%|█████▊ | 26/45 [00:02<00:01, 10.94it/s]
Decoding image: 62%|██████▏ | 28/45 [00:02<00:01, 10.94it/s]
Decoding image: 67%|██████▋ | 30/45 [00:02<00:01, 11.02it/s]
Decoding image: 71%|███████ | 32/45 [00:02<00:01, 11.08it/s]
Decoding image: 76%|███████▌ | 34/45 [00:03<00:00, 11.05it/s]
Decoding image: 80%|████████ | 36/45 [00:03<00:00, 11.12it/s]
Decoding image: 84%|████████▍ | 38/45 [00:03<00:00, 11.09it/s]
Decoding image: 89%|████████▉ | 40/45 [00:03<00:00, 11.16it/s]
Decoding image: 93%|█████████▎| 42/45 [00:03<00:00, 11.16it/s]
Decoding image: 98%|█████████▊| 44/45 [00:04<00:00, 11.13it/s]
Decoding image: 100%|██████████| 45/45 [00:04<00:00, 10.96it/s]
data: 100%|██████████| 1/1 [00:04<00:00, 4.22s/it]
data: 100%|██████████| 1/1 [00:04<00:00, 4.22s/it]
Slices: 8it [00:34, 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, 10.73it/s]
Decoding image: 9%|▉ | 4/45 [00:00<00:03, 10.83it/s]
Decoding image: 13%|█▎ | 6/45 [00:00<00:03, 10.96it/s]
Decoding image: 18%|█▊ | 8/45 [00:00<00:03, 11.09it/s]
Decoding image: 22%|██▏ | 10/45 [00:00<00:03, 10.86it/s]
Decoding image: 27%|██▋ | 12/45 [00:01<00:03, 10.95it/s]
Decoding image: 31%|███ | 14/45 [00:01<00:02, 11.06it/s]
Decoding image: 36%|███▌ | 16/45 [00:01<00:02, 11.12it/s]
Decoding image: 40%|████ | 18/45 [00:01<00:02, 11.09it/s]
Decoding image: 44%|████▍ | 20/45 [00:01<00:02, 11.14it/s]
Decoding image: 49%|████▉ | 22/45 [00:01<00:02, 11.16it/s]
Decoding image: 53%|█████▎ | 24/45 [00:02<00:01, 11.13it/s]
Decoding image: 58%|█████▊ | 26/45 [00:02<00:01, 11.15it/s]
Decoding image: 62%|██████▏ | 28/45 [00:02<00:01, 11.15it/s]
Decoding image: 67%|██████▋ | 30/45 [00:02<00:01, 11.17it/s]
Decoding image: 71%|███████ | 32/45 [00:02<00:01, 11.14it/s]
Decoding image: 76%|███████▌ | 34/45 [00:03<00:01, 10.84it/s]
Decoding image: 80%|████████ | 36/45 [00:03<00:00, 10.97it/s]
Decoding image: 84%|████████▍ | 38/45 [00:03<00:00, 11.08it/s]
Decoding image: 89%|████████▉ | 40/45 [00:03<00:00, 11.06it/s]
Decoding image: 93%|█████████▎| 42/45 [00:03<00:00, 11.11it/s]
Decoding image: 98%|█████████▊| 44/45 [00:03<00:00, 11.00it/s]
Decoding image: 100%|██████████| 45/45 [00:04<00:00, 11.05it/s]
data: 100%|██████████| 1/1 [00:04<00:00, 4.18s/it]
data: 100%|██████████| 1/1 [00:04<00:00, 4.18s/it]
Slices: 9it [00:38, 4.27s/it]
Slices: 9it [00:38, 4.30s/it]
Passes: 100%|██████████| 1/1 [00:40<00:00, 40.94s/it]
Passes: 100%|██████████| 1/1 [00:40<00:00, 40.94s/it]