cjwbw
/
stable-diffusion-high-resolution
Detailed, higher-resolution images from Stable Diffusion
Prediction
cjwbw/stable-diffusion-high-resolution:231e401dInput
- scale
- 7.5
- steps
- 50
- prompt
- female cyborg assimilated by alien fungus, intricate Three-point lighting portrait, by Ching Yeh and Greg Rutkowski, detailed cyberpunk in the style of GitS 1995
- ori_width
- 512
- ori_height
- 512
{ "scale": 7.5, "steps": 50, "prompt": "female cyborg assimilated by alien fungus, intricate Three-point lighting portrait, by Ching Yeh and Greg Rutkowski, detailed cyberpunk in the style of GitS 1995", "ori_width": 512, "ori_height": 512 }Install Replicate’s Node.js client library:npm install replicateSet theREPLICATE_API_TOKENenvironment 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:231e401da17b34aac8f8b3685f662f7fdad9ce1cf504ec0828ba4aac19f7882f", { input: { scale: 7.5, steps: 50, prompt: "female cyborg assimilated by alien fungus, intricate Three-point lighting portrait, by Ching Yeh and Greg Rutkowski, detailed cyberpunk in the style of GitS 1995", 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 theREPLICATE_API_TOKENenvironment 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:231e401da17b34aac8f8b3685f662f7fdad9ce1cf504ec0828ba4aac19f7882f", input={ "scale": 7.5, "steps": 50, "prompt": "female cyborg assimilated by alien fungus, intricate Three-point lighting portrait, by Ching Yeh and Greg Rutkowski, detailed cyberpunk in the style of GitS 1995", "ori_width": 512, "ori_height": 512 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKENenvironment 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": "231e401da17b34aac8f8b3685f662f7fdad9ce1cf504ec0828ba4aac19f7882f", "input": { "scale": 7.5, "steps": 50, "prompt": "female cyborg assimilated by alien fungus, intricate Three-point lighting portrait, by Ching Yeh and Greg Rutkowski, detailed cyberpunk in the style of GitS 1995", "ori_width": 512, "ori_height": 512 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2022-09-14T20:59:35.485772Z", "created_at": "2022-09-14T20:57:56.731757Z", "data_removed": false, "error": null, "id": "jnpbqeyc25azvkfogyxky7zu7e", "input": { "scale": 7.5, "steps": 50, "prompt": "female cyborg assimilated by alien fungus, intricate Three-point lighting portrait, by Ching Yeh and Greg Rutkowski, detailed cyberpunk in the style of GitS 1995", "ori_width": 512, "ori_height": 512 }, "logs": "Using seed 2669249403. Enter this in 'seed' if you want to produce the same output again!\nGlobal seed set to 2669249403\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, 6.97it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 6%|▌ | 3/50 [00:00<00:04, 9.58it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 10%|█ | 5/50 [00:00<00:04, 10.36it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 14%|█▍ | 7/50 [00:00<00:04, 10.47it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 18%|█▊ | 9/50 [00:00<00:03, 10.68it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 22%|██▏ | 11/50 [00:01<00:03, 10.89it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 26%|██▌ | 13/50 [00:01<00:03, 11.02it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 30%|███ | 15/50 [00:01<00:03, 10.91it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 34%|███▍ | 17/50 [00:01<00:02, 11.02it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 38%|███▊ | 19/50 [00:01<00:02, 11.05it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 42%|████▏ | 21/50 [00:01<00:02, 11.01it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 46%|████▌ | 23/50 [00:02<00:02, 11.06it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 50%|█████ | 25/50 [00:02<00:02, 10.89it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 54%|█████▍ | 27/50 [00:02<00:02, 10.98it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 58%|█████▊ | 29/50 [00:02<00:01, 11.05it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 62%|██████▏ | 31/50 [00:02<00:01, 10.88it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 66%|██████▌ | 33/50 [00:03<00:01, 10.94it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 70%|███████ | 35/50 [00:03<00:01, 11.03it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 74%|███████▍ | 37/50 [00:03<00:01, 11.10it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 78%|███████▊ | 39/50 [00:03<00:01, 10.93it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 82%|████████▏ | 41/50 [00:03<00:00, 11.00it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 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4.22s/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, 10.76it/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, 11.02it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 22%|██▏ | 10/45 [00:00<00:03, 10.99it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 27%|██▋ | 12/45 [00:01<00:03, 10.97it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 31%|███ | 14/45 [00:01<00:02, 10.95it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 36%|███▌ | 16/45 [00:01<00:02, 10.91it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 40%|████ | 18/45 [00:01<00:02, 10.90it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 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11.03it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 93%|█████████▎| 42/45 [00:03<00:00, 11.09it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 98%|█████████▊| 44/45 [00:03<00:00, 11.11it/s]\u001b[A\u001b[A\u001b[A\nDecoding image: 100%|██████████| 45/45 [00:04<00:00, 11.02it/s]\n\n\n\ndata: 100%|██████████| 1/1 [00:04<00:00, 4.20s/it]\u001b[A\u001b[A\ndata: 100%|██████████| 1/1 [00:04<00:00, 4.20s/it]\n\n\nSlices: 4it [00:16, 4.23s/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, 10.72it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 9%|▉ | 4/45 [00:00<00:03, 10.89it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 13%|█▎ | 6/45 [00:00<00:03, 10.97it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 18%|█▊ | 8/45 [00:00<00:03, 10.99it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 22%|██▏ | 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44/45 [00:04<00:00, 10.98it/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: 6it [00:25, 4.22s/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, 11.06it/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, 11.04it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 22%|██▏ | 10/45 [00:00<00:03, 11.15it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 27%|██▋ | 12/45 [00:01<00:02, 11.16it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 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11.06it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 62%|██████▏ | 28/45 [00:02<00:01, 11.08it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 67%|██████▋ | 30/45 [00:02<00:01, 11.04it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 71%|███████ | 32/45 [00:02<00:01, 11.01it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 76%|███████▌ | 34/45 [00:03<00:01, 10.97it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 80%|████████ | 36/45 [00:03<00:00, 11.08it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 84%|████████▍ | 38/45 [00:03<00:00, 11.16it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 89%|████████▉ | 40/45 [00:03<00:00, 11.19it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 93%|█████████▎| 42/45 [00:03<00:00, 11.24it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 98%|█████████▊| 44/45 [00:03<00:00, 11.29it/s]\u001b[A\u001b[A\u001b[A\nDecoding image: 100%|██████████| 45/45 [00:04<00:00, 11.15it/s]\n\n\n\ndata: 100%|██████████| 1/1 [00:04<00:00, 4.15s/it]\u001b[A\u001b[A\ndata: 100%|██████████| 1/1 [00:04<00:00, 4.15s/it]\n\n\nSlices: 8it [00:33, 4.21s/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, 10.99it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 13%|█▎ | 6/45 [00:00<00:03, 11.06it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 18%|█▊ | 8/45 [00:00<00:03, 11.12it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 22%|██▏ | 10/45 [00:00<00:03, 11.18it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 27%|██▋ | 12/45 [00:01<00:02, 11.17it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 31%|███ | 14/45 [00:01<00:02, 11.19it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 36%|███▌ | 16/45 [00:01<00:02, 11.19it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 40%|████ | 18/45 [00:01<00:02, 11.17it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 44%|████▍ | 20/45 [00:01<00:02, 11.11it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 49%|████▉ | 22/45 [00:01<00:02, 11.03it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 53%|█████▎ | 24/45 [00:02<00:01, 11.06it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 58%|█████▊ | 26/45 [00:02<00:01, 11.11it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 62%|██████▏ | 28/45 [00:02<00:01, 11.08it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 67%|██████▋ | 30/45 [00:02<00:01, 11.11it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 71%|███████ | 32/45 [00:02<00:01, 11.13it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 76%|███████▌ | 34/45 [00:03<00:00, 11.19it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 80%|████████ | 36/45 [00:03<00:00, 11.23it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 84%|████████▍ | 38/45 [00:03<00:00, 11.25it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 89%|████████▉ | 40/45 [00:03<00:00, 11.28it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 93%|█████████▎| 42/45 [00:03<00:00, 11.28it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 98%|█████████▊| 44/45 [00:03<00:00, 11.16it/s]\u001b[A\u001b[A\u001b[A\nDecoding image: 100%|██████████| 45/45 [00:04<00:00, 11.14it/s]\n\n\n\ndata: 100%|██████████| 1/1 [00:04<00:00, 4.15s/it]\u001b[A\u001b[A\ndata: 100%|██████████| 1/1 [00:04<00:00, 4.15s/it]\n\n\nSlices: 9it [00:37, 4.20s/it]\u001b[A\nSlices: 9it [00:37, 4.21s/it]\n\nPasses: 100%|██████████| 1/1 [00:40<00:00, 40.12s/it]\nPasses: 100%|██████████| 1/1 [00:40<00:00, 40.12s/it]", "metrics": { "predict_time": 47.366952, "total_time": 98.754015 }, "output": "https://replicate.delivery/mgxm/e1b194af-e903-4efb-8bb2-8016b0863507/out.png", "started_at": "2022-09-14T20:58:48.118820Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/jnpbqeyc25azvkfogyxky7zu7e", "cancel": "https://api.replicate.com/v1/predictions/jnpbqeyc25azvkfogyxky7zu7e/cancel" }, "version": "6cba009c63dce77592f864a4d3584ec21c59d92f4ba2da78319ada831e3725fc" }Generated inUsing seed 2669249403. Enter this in 'seed' if you want to produce the same output again! Global seed set to 2669249403 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, 6.97it/s] DDIM Sampler: 6%|▌ | 3/50 [00:00<00:04, 9.58it/s] DDIM Sampler: 10%|█ | 5/50 [00:00<00:04, 10.36it/s] DDIM Sampler: 14%|█▍ | 7/50 [00:00<00:04, 10.47it/s] DDIM Sampler: 18%|█▊ | 9/50 [00:00<00:03, 10.68it/s] DDIM Sampler: 22%|██▏ | 11/50 [00:01<00:03, 10.89it/s] DDIM Sampler: 26%|██▌ | 13/50 [00:01<00:03, 11.02it/s] DDIM Sampler: 30%|███ | 15/50 [00:01<00:03, 10.91it/s] DDIM Sampler: 34%|███▍ | 17/50 [00:01<00:02, 11.02it/s] DDIM Sampler: 38%|███▊ | 19/50 [00:01<00:02, 11.05it/s] DDIM Sampler: 42%|████▏ | 21/50 [00:01<00:02, 11.01it/s] DDIM Sampler: 46%|████▌ | 23/50 [00:02<00:02, 11.06it/s] DDIM Sampler: 50%|█████ | 25/50 [00:02<00:02, 10.89it/s] DDIM Sampler: 54%|█████▍ | 27/50 [00:02<00:02, 10.98it/s] DDIM Sampler: 58%|█████▊ | 29/50 [00:02<00:01, 11.05it/s] DDIM Sampler: 62%|██████▏ | 31/50 [00:02<00:01, 10.88it/s] DDIM Sampler: 66%|██████▌ | 33/50 [00:03<00:01, 10.94it/s] DDIM Sampler: 70%|███████ | 35/50 [00:03<00:01, 11.03it/s] DDIM Sampler: 74%|███████▍ | 37/50 [00:03<00:01, 11.10it/s] DDIM Sampler: 78%|███████▊ | 39/50 [00:03<00:01, 10.93it/s] DDIM Sampler: 82%|████████▏ | 41/50 [00:03<00:00, 11.00it/s] DDIM Sampler: 86%|████████▌ | 43/50 [00:03<00:00, 10.91it/s] DDIM Sampler: 90%|█████████ | 45/50 [00:04<00:00, 10.69it/s] DDIM Sampler: 94%|█████████▍| 47/50 [00:04<00:00, 10.75it/s] DDIM Sampler: 98%|█████████▊| 49/50 [00:04<00:00, 10.81it/s] DDIM Sampler: 100%|██████████| 50/50 [00:04<00:00, 10.83it/s] data: 100%|██████████| 1/1 [00:05<00:00, 5.62s/it] data: 100%|██████████| 1/1 [00:05<00:00, 5.62s/it] Sampling: 100%|██████████| 1/1 [00:05<00:00, 5.62s/it] Sampling: 100%|██████████| 1/1 [00:05<00:00, 5.62s/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, 9.66it/s] Decoding image: 7%|▋ | 3/45 [00:00<00:03, 10.62it/s] Decoding image: 11%|█ | 5/45 [00:00<00:03, 10.63it/s] Decoding image: 16%|█▌ | 7/45 [00:00<00:03, 10.79it/s] Decoding image: 20%|██ | 9/45 [00:00<00:03, 10.93it/s] Decoding image: 24%|██▍ | 11/45 [00:01<00:03, 10.97it/s] Decoding image: 29%|██▉ | 13/45 [00:01<00:02, 11.05it/s] Decoding image: 33%|███▎ | 15/45 [00:01<00:02, 11.09it/s] Decoding image: 38%|███▊ | 17/45 [00:01<00:02, 11.09it/s] Decoding image: 42%|████▏ | 19/45 [00:01<00:02, 11.09it/s] Decoding image: 47%|████▋ | 21/45 [00:01<00:02, 11.04it/s] Decoding image: 51%|█████ | 23/45 [00:02<00:01, 11.07it/s] Decoding image: 56%|█████▌ | 25/45 [00:02<00:01, 10.75it/s] Decoding image: 60%|██████ | 27/45 [00:02<00:01, 10.86it/s] Decoding image: 64%|██████▍ | 29/45 [00:02<00:01, 10.95it/s] Decoding image: 69%|██████▉ | 31/45 [00:02<00:01, 11.02it/s] Decoding image: 73%|███████▎ | 33/45 [00:03<00:01, 11.12it/s] Decoding image: 78%|███████▊ | 35/45 [00:03<00:00, 11.17it/s] Decoding image: 82%|████████▏ | 37/45 [00:03<00:00, 11.22it/s] Decoding image: 87%|████████▋ | 39/45 [00:03<00:00, 11.23it/s] Decoding image: 91%|█████████ | 41/45 [00:03<00:00, 11.25it/s] Decoding image: 96%|█████████▌| 43/45 [00:03<00:00, 11.26it/s] Decoding image: 100%|██████████| 45/45 [00:04<00:00, 11.21it/s] Decoding image: 100%|██████████| 45/45 [00:04<00:00, 11.05it/s] data: 100%|██████████| 1/1 [00:04<00:00, 4.19s/it] data: 100%|██████████| 1/1 [00:04<00:00, 4.19s/it] Slices: 1it [00:04, 4.24s/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, 10.76it/s] Decoding image: 9%|▉ | 4/45 [00:00<00:03, 10.96it/s] Decoding image: 13%|█▎ | 6/45 [00:00<00:03, 11.04it/s] Decoding image: 18%|█▊ | 8/45 [00:00<00:03, 10.80it/s] Decoding image: 22%|██▏ | 10/45 [00:00<00:03, 10.90it/s] Decoding image: 27%|██▋ | 12/45 [00:01<00:03, 10.96it/s] Decoding image: 31%|███ | 14/45 [00:01<00:02, 11.00it/s] Decoding image: 36%|███▌ | 16/45 [00:01<00:02, 10.96it/s] Decoding image: 40%|████ | 18/45 [00:01<00:02, 10.84it/s] Decoding image: 44%|████▍ | 20/45 [00:01<00:02, 10.86it/s] Decoding image: 49%|████▉ | 22/45 [00:02<00:02, 10.87it/s] Decoding image: 53%|█████▎ | 24/45 [00:02<00:01, 10.93it/s] Decoding image: 58%|█████▊ | 26/45 [00:02<00:01, 10.96it/s] Decoding image: 62%|██████▏ | 28/45 [00:02<00:01, 10.99it/s] Decoding image: 67%|██████▋ | 30/45 [00:02<00:01, 11.00it/s] Decoding image: 71%|███████ | 32/45 [00:02<00:01, 11.01it/s] Decoding image: 76%|███████▌ | 34/45 [00:03<00:01, 10.99it/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, 11.10it/s] Decoding image: 93%|█████████▎| 42/45 [00:03<00:00, 11.14it/s] Decoding image: 98%|█████████▊| 44/45 [00:04<00:00, 11.19it/s] Decoding image: 100%|██████████| 45/45 [00:04<00:00, 11.01it/s] data: 100%|██████████| 1/1 [00:04<00:00, 4.20s/it] data: 100%|██████████| 1/1 [00:04<00:00, 4.20s/it] Slices: 2it [00:08, 4.24s/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, 10.72it/s] Decoding image: 9%|▉ | 4/45 [00:00<00:03, 10.98it/s] Decoding image: 13%|█▎ | 6/45 [00:00<00:03, 11.14it/s] Decoding image: 18%|█▊ | 8/45 [00:00<00:03, 11.20it/s] Decoding image: 22%|██▏ | 10/45 [00:00<00:03, 11.23it/s] Decoding image: 27%|██▋ | 12/45 [00:01<00:02, 11.17it/s] Decoding image: 31%|███ | 14/45 [00:01<00:02, 11.16it/s] Decoding image: 36%|███▌ | 16/45 [00:01<00:02, 11.16it/s] Decoding image: 40%|████ | 18/45 [00:01<00:02, 11.11it/s] Decoding image: 44%|████▍ | 20/45 [00:01<00:02, 11.13it/s] Decoding image: 49%|████▉ | 22/45 [00:01<00:02, 11.14it/s] Decoding image: 53%|█████▎ | 24/45 [00:02<00:01, 11.16it/s] Decoding image: 58%|█████▊ | 26/45 [00:02<00:01, 11.21it/s] Decoding image: 62%|██████▏ | 28/45 [00:02<00:01, 11.26it/s] Decoding image: 67%|██████▋ | 30/45 [00:02<00:01, 11.30it/s] Decoding image: 71%|███████ | 32/45 [00:02<00:01, 11.30it/s] Decoding image: 76%|███████▌ | 34/45 [00:03<00:00, 11.30it/s] Decoding image: 80%|████████ | 36/45 [00:03<00:00, 11.24it/s] Decoding image: 84%|████████▍ | 38/45 [00:03<00:00, 11.22it/s] Decoding image: 89%|████████▉ | 40/45 [00:03<00:00, 11.17it/s] Decoding image: 93%|█████████▎| 42/45 [00:03<00:00, 10.90it/s] Decoding image: 98%|█████████▊| 44/45 [00:03<00:00, 10.98it/s] Decoding image: 100%|██████████| 45/45 [00:04<00:00, 11.14it/s] data: 100%|██████████| 1/1 [00:04<00:00, 4.15s/it] data: 100%|██████████| 1/1 [00:04<00:00, 4.15s/it] Slices: 3it [00:12, 4.22s/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, 10.76it/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, 11.02it/s] Decoding image: 22%|██▏ | 10/45 [00:00<00:03, 10.99it/s] Decoding image: 27%|██▋ | 12/45 [00:01<00:03, 10.97it/s] Decoding image: 31%|███ | 14/45 [00:01<00:02, 10.95it/s] Decoding image: 36%|███▌ | 16/45 [00:01<00:02, 10.91it/s] Decoding image: 40%|████ | 18/45 [00:01<00:02, 10.90it/s] Decoding image: 44%|████▍ | 20/45 [00:01<00:02, 10.95it/s] Decoding image: 49%|████▉ | 22/45 [00:02<00:02, 10.94it/s] Decoding image: 53%|█████▎ | 24/45 [00:02<00:01, 11.00it/s] Decoding image: 58%|█████▊ | 26/45 [00:02<00:01, 11.05it/s] Decoding image: 62%|██████▏ | 28/45 [00:02<00:01, 11.08it/s] Decoding image: 67%|██████▋ | 30/45 [00:02<00:01, 11.11it/s] Decoding image: 71%|███████ | 32/45 [00:02<00:01, 11.09it/s] Decoding image: 76%|███████▌ | 34/45 [00:03<00:00, 11.09it/s] Decoding image: 80%|████████ | 36/45 [00:03<00:00, 11.10it/s] Decoding image: 84%|████████▍ | 38/45 [00:03<00:00, 11.06it/s] Decoding image: 89%|████████▉ | 40/45 [00:03<00:00, 11.03it/s] Decoding image: 93%|█████████▎| 42/45 [00:03<00:00, 11.09it/s] Decoding image: 98%|█████████▊| 44/45 [00:03<00:00, 11.11it/s] Decoding image: 100%|██████████| 45/45 [00:04<00:00, 11.02it/s] data: 100%|██████████| 1/1 [00:04<00:00, 4.20s/it] data: 100%|██████████| 1/1 [00:04<00:00, 4.20s/it] Slices: 4it [00:16, 4.23s/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, 10.72it/s] Decoding image: 9%|▉ | 4/45 [00:00<00:03, 10.89it/s] Decoding image: 13%|█▎ | 6/45 [00:00<00:03, 10.97it/s] Decoding image: 18%|█▊ | 8/45 [00:00<00:03, 10.99it/s] Decoding image: 22%|██▏ | 10/45 [00:00<00:03, 11.06it/s] Decoding image: 27%|██▋ | 12/45 [00:01<00:02, 11.10it/s] Decoding image: 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Slices: 8it [00:33, 4.21s/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, 10.99it/s] Decoding image: 13%|█▎ | 6/45 [00:00<00:03, 11.06it/s] Decoding image: 18%|█▊ | 8/45 [00:00<00:03, 11.12it/s] Decoding image: 22%|██▏ | 10/45 [00:00<00:03, 11.18it/s] Decoding image: 27%|██▋ | 12/45 [00:01<00:02, 11.17it/s] Decoding image: 31%|███ | 14/45 [00:01<00:02, 11.19it/s] Decoding image: 36%|███▌ | 16/45 [00:01<00:02, 11.19it/s] Decoding image: 40%|████ | 18/45 [00:01<00:02, 11.17it/s] Decoding image: 44%|████▍ | 20/45 [00:01<00:02, 11.11it/s] Decoding image: 49%|████▉ | 22/45 [00:01<00:02, 11.03it/s] Decoding image: 53%|█████▎ | 24/45 [00:02<00:01, 11.06it/s] Decoding image: 58%|█████▊ | 26/45 [00:02<00:01, 11.11it/s] Decoding image: 62%|██████▏ | 28/45 [00:02<00:01, 11.08it/s] Decoding image: 67%|██████▋ | 30/45 [00:02<00:01, 11.11it/s] Decoding image: 71%|███████ | 32/45 [00:02<00:01, 11.13it/s] Decoding image: 76%|███████▌ | 34/45 [00:03<00:00, 11.19it/s] Decoding image: 80%|████████ | 36/45 [00:03<00:00, 11.23it/s] Decoding image: 84%|████████▍ | 38/45 [00:03<00:00, 11.25it/s] Decoding image: 89%|████████▉ | 40/45 [00:03<00:00, 11.28it/s] Decoding image: 93%|█████████▎| 42/45 [00:03<00:00, 11.28it/s] Decoding image: 98%|█████████▊| 44/45 [00:03<00:00, 11.16it/s] Decoding image: 100%|██████████| 45/45 [00:04<00:00, 11.14it/s] data: 100%|██████████| 1/1 [00:04<00:00, 4.15s/it] data: 100%|██████████| 1/1 [00:04<00:00, 4.15s/it] Slices: 9it [00:37, 4.20s/it] Slices: 9it [00:37, 4.21s/it] Passes: 100%|██████████| 1/1 [00:40<00:00, 40.12s/it] Passes: 100%|██████████| 1/1 [00:40<00:00, 40.12s/it]Prediction
cjwbw/stable-diffusion-high-resolution:231e401dIDrnerrtamcrdklp6jiiercau3naStatusSucceededSourceWebHardware–Total durationCreatedInput
- 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
{ "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 }Install Replicate’s Node.js client library:npm install replicateSet theREPLICATE_API_TOKENenvironment 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:231e401da17b34aac8f8b3685f662f7fdad9ce1cf504ec0828ba4aac19f7882f", { 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 theREPLICATE_API_TOKENenvironment 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:231e401da17b34aac8f8b3685f662f7fdad9ce1cf504ec0828ba4aac19f7882f", 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 theREPLICATE_API_TOKENenvironment 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": "231e401da17b34aac8f8b3685f662f7fdad9ce1cf504ec0828ba4aac19f7882f", "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.
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, 11.01it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 19%|█▉ | 19/100 [00:01<00:07, 10.99it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 21%|██ | 21/100 [00:01<00:07, 11.04it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 23%|██▎ | 23/100 [00:02<00:07, 10.99it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 25%|██▌ | 25/100 [00:02<00:06, 11.04it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 27%|██▋ | 27/100 [00:02<00:06, 10.99it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 29%|██▉ | 29/100 [00:02<00:06, 11.06it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 31%|███ | 31/100 [00:02<00:06, 11.05it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 33%|███▎ | 33/100 [00:03<00:06, 11.09it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 35%|███▌ | 35/100 [00:03<00:05, 11.13it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 37%|███▋ | 37/100 [00:03<00:05, 11.10it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 39%|███▉ | 39/100 [00:03<00:05, 11.05it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 41%|████ | 41/100 [00:03<00:05, 10.94it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 43%|████▎ | 43/100 [00:03<00:05, 11.01it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 45%|████▌ | 45/100 [00:04<00:04, 11.03it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 47%|████▋ | 47/100 [00:04<00:04, 10.97it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 49%|████▉ | 49/100 [00:04<00:04, 11.03it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 51%|█████ | 51/100 [00:04<00:04, 10.95it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 53%|█████▎ | 53/100 [00:04<00:04, 10.95it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 55%|█████▌ | 55/100 [00:05<00:04, 10.77it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 57%|█████▋ | 57/100 [00:05<00:03, 10.81it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 59%|█████▉ | 59/100 [00:05<00:03, 10.85it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 61%|██████ | 61/100 [00:05<00:03, 10.81it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 63%|██████▎ | 63/100 [00:05<00:03, 10.90it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 65%|██████▌ | 65/100 [00:05<00:03, 10.93it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 67%|██████▋ | 67/100 [00:06<00:03, 10.98it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 69%|██████▉ | 69/100 [00:06<00:02, 11.00it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 71%|███████ | 71/100 [00:06<00:02, 10.93it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 73%|███████▎ | 73/100 [00:06<00:02, 10.95it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 75%|███████▌ | 75/100 [00:06<00:02, 10.89it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 77%|███████▋ | 77/100 [00:07<00:02, 10.91it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 79%|███████▉ | 79/100 [00:07<00:01, 10.91it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 81%|████████ | 81/100 [00:07<00:01, 10.90it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 83%|████████▎ | 83/100 [00:07<00:01, 10.93it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 85%|████████▌ | 85/100 [00:07<00:01, 10.91it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 87%|████████▋ | 87/100 [00:07<00:01, 10.95it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 89%|████████▉ | 89/100 [00:08<00:01, 10.75it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 91%|█████████ | 91/100 [00:08<00:00, 10.80it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 93%|█████████▎| 93/100 [00:08<00:00, 10.89it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 95%|█████████▌| 95/100 [00:08<00:00, 10.86it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 97%|█████████▋| 97/100 [00:08<00:00, 10.93it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 99%|█████████▉| 99/100 [00:09<00:00, 10.92it/s]\u001b[A\u001b[A\nDDIM Sampler: 100%|██████████| 100/100 [00:09<00:00, 10.92it/s]\n\n\ndata: 100%|██████████| 1/1 [00:10<00:00, 10.14s/it]\u001b[A\ndata: 100%|██████████| 1/1 [00:10<00:00, 10.14s/it]\n\nSampling: 100%|██████████| 1/1 [00:10<00:00, 10.14s/it]\nSampling: 100%|██████████| 1/1 [00:10<00:00, 10.14s/it]\n\nPasses: 0%| | 0/1 [00:00<?, ?it/s]\n\nSlices: 0it [00:00, ?it/s]\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, 9.80it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 7%|▋ | 3/45 [00:00<00:03, 10.82it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 11%|█ | 5/45 [00:00<00:03, 10.92it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 16%|█▌ | 7/45 [00:00<00:03, 11.01it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 20%|██ | 9/45 [00:00<00:03, 10.93it/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, 10.93it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 33%|███▎ | 15/45 [00:01<00:02, 10.91it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 38%|███▊ | 17/45 [00:01<00:02, 10.95it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 42%|████▏ | 19/45 [00:01<00:02, 10.92it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 47%|████▋ | 21/45 [00:01<00:02, 10.97it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 51%|█████ | 23/45 [00:02<00:01, 11.03it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 56%|█████▌ | 25/45 [00:02<00:01, 10.97it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 60%|██████ | 27/45 [00:02<00:01, 11.01it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 64%|██████▍ | 29/45 [00:02<00:01, 10.95it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 69%|██████▉ | 31/45 [00:02<00:01, 11.03it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 73%|███████▎ | 33/45 [00:03<00:01, 11.04it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 78%|███████▊ | 35/45 [00:03<00:00, 10.90it/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, 10.92it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 91%|█████████ | 41/45 [00:03<00:00, 10.83it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 96%|█████████▌| 43/45 [00:03<00:00, 10.93it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 100%|██████████| 45/45 [00:04<00:00, 10.86it/s]\u001b[A\u001b[A\u001b[A\nDecoding image: 100%|██████████| 45/45 [00:04<00:00, 10.92it/s]\n\n\n\ndata: 100%|██████████| 1/1 [00:04<00:00, 4.23s/it]\u001b[A\u001b[A\ndata: 100%|██████████| 1/1 [00:04<00:00, 4.23s/it]\n\n\nSlices: 1it [00:04, 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<00:04, 10.74it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 9%|▉ | 4/45 [00:00<00:03, 10.91it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 13%|█▎ | 6/45 [00:00<00:03, 10.99it/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, 11.02it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 27%|██▋ | 12/45 [00:01<00:03, 10.91it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 31%|███ | 14/45 [00:01<00:02, 10.96it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 36%|███▌ | 16/45 [00:01<00:02, 11.03it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 40%|████ | 18/45 [00:01<00:02, 10.98it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 44%|████▍ | 20/45 [00:01<00:02, 11.02it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 49%|████▉ | 22/45 [00:02<00:02, 11.01it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 53%|█████▎ | 24/45 [00:02<00:01, 10.87it/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, 10.86it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 67%|██████▋ | 30/45 [00:02<00:01, 10.87it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 71%|███████ | 32/45 [00:02<00:01, 10.78it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 76%|███████▌ | 34/45 [00:03<00:01, 10.83it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 80%|████████ | 36/45 [00:03<00:00, 10.89it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 84%|████████▍ | 38/45 [00:03<00:00, 10.94it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 89%|████████▉ | 40/45 [00:03<00:00, 11.00it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 93%|█████████▎| 42/45 [00:03<00:00, 10.97it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 98%|█████████▊| 44/45 [00:04<00:00, 11.01it/s]\u001b[A\u001b[A\u001b[A\nDecoding image: 100%|██████████| 45/45 [00:04<00:00, 10.95it/s]\n\n\n\ndata: 100%|██████████| 1/1 [00:04<00:00, 4.23s/it]\u001b[A\u001b[A\ndata: 100%|██████████| 1/1 [00:04<00:00, 4.23s/it]\n\n\nSlices: 2it [00:08, 4.27s/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, 10.62it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 9%|▉ | 4/45 [00:00<00:03, 10.93it/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, 11.03it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 22%|██▏ | 10/45 [00:00<00:03, 11.12it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 27%|██▋ | 12/45 [00:01<00:02, 11.21it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 31%|███ | 14/45 [00:01<00:02, 11.27it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 36%|███▌ | 16/45 [00:01<00:02, 11.30it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 40%|████ | 18/45 [00:01<00:02, 11.30it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 44%|████▍ | 20/45 [00:01<00:02, 11.32it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 49%|████▉ | 22/45 [00:01<00:02, 11.33it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 53%|█████▎ | 24/45 [00:02<00:01, 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45/45 [00:04<00:00, 11.03it/s]\n\n\n\ndata: 100%|██████████| 1/1 [00:04<00:00, 4.20s/it]\u001b[A\u001b[A\ndata: 100%|██████████| 1/1 [00:04<00:00, 4.20s/it]\n\n\nSlices: 3it [00:12, 4.26s/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, 9.27it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 7%|▋ | 3/45 [00:00<00:04, 10.01it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 11%|█ | 5/45 [00:00<00:04, 9.99it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 13%|█▎ | 6/45 [00:00<00:03, 9.97it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 18%|█▊ | 8/45 [00:00<00:03, 10.03it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 22%|██▏ | 10/45 [00:00<00:03, 10.08it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 27%|██▋ | 12/45 [00:01<00:03, 10.15it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 31%|███ | 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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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10.99it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 89%|████████▉ | 40/45 [00:03<00:00, 10.96it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 93%|█████████▎| 42/45 [00:03<00:00, 10.97it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 98%|█████████▊| 44/45 [00:04<00:00, 10.99it/s]\u001b[A\u001b[A\u001b[A\nDecoding image: 100%|██████████| 45/45 [00:04<00:00, 10.95it/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: 6it [00:25, 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<00:04, 10.55it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 9%|▉ | 4/45 [00:00<00:03, 10.73it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 13%|█▎ | 6/45 [00:00<00:03, 10.75it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 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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 inUsing 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 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, 10.62it/s] Decoding image: 9%|▉ | 4/45 [00:00<00:03, 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[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 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, 9.27it/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 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cjwbw/stable-diffusion-high-resolution:231e401dIDrsu2lh2co5gu3hv65cocd3mvdaStatusSucceededSourceWebHardware–Total durationCreatedInput
- 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
{ "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 }Install Replicate’s Node.js client library:npm install replicateSet theREPLICATE_API_TOKENenvironment 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:231e401da17b34aac8f8b3685f662f7fdad9ce1cf504ec0828ba4aac19f7882f", { 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 theREPLICATE_API_TOKENenvironment 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:231e401da17b34aac8f8b3685f662f7fdad9ce1cf504ec0828ba4aac19f7882f", 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 theREPLICATE_API_TOKENenvironment 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": "231e401da17b34aac8f8b3685f662f7fdad9ce1cf504ec0828ba4aac19f7882f", "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.
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, 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4.18s/it]\u001b[A\u001b[A\ndata: 100%|██████████| 1/1 [00:04<00:00, 4.18s/it]\n\n\nSlices: 3it [00:12, 4.31s/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, 10.19it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 9%|▉ | 4/45 [00:00<00:03, 10.74it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 13%|█▎ | 6/45 [00:00<00:03, 10.87it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 18%|█▊ | 8/45 [00:00<00:03, 10.74it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 22%|██▏ | 10/45 [00:00<00:03, 10.93it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 27%|██▋ | 12/45 [00:01<00:03, 10.90it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 31%|███ | 14/45 [00:01<00:02, 11.04it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 36%|███▌ | 16/45 [00:01<00:02, 11.13it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding 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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 inUsing 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 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, 10.63it/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%|██▋ | 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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 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, 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 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cjwbw/stable-diffusion-high-resolution:231e401dInput
- scale
- 7.5
- steps
- 100
- prompt
- painting of girl from behind looking a fleet of imperial ships in the sky, in a meadow of flowers by donato giancola and Eddie Mendoza, elegant, dynamic lighting, beautiful, poster, trending on artstation, poster, anato finnstark, wallpaper, 4 k, award winning, digital art, imperial colors, fantastic view
- ori_width
- "768"
- ori_height
- "768"
{ "scale": 7.5, "steps": 100, "prompt": "painting of girl from behind looking a fleet of imperial ships in the sky, in a meadow of flowers by donato giancola and Eddie Mendoza, elegant, dynamic lighting, beautiful, poster, trending on artstation, poster, anato finnstark, wallpaper, 4 k, award winning, digital art, imperial colors, fantastic view", "ori_width": "768", "ori_height": "768" }Install Replicate’s Node.js client library:npm install replicateSet theREPLICATE_API_TOKENenvironment 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:231e401da17b34aac8f8b3685f662f7fdad9ce1cf504ec0828ba4aac19f7882f", { input: { scale: 7.5, steps: 100, prompt: "painting of girl from behind looking a fleet of imperial ships in the sky, in a meadow of flowers by donato giancola and Eddie Mendoza, elegant, dynamic lighting, beautiful, poster, trending on artstation, poster, anato finnstark, wallpaper, 4 k, award winning, digital art, imperial colors, fantastic view", ori_width: "768", ori_height: "768" } } ); 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 theREPLICATE_API_TOKENenvironment 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:231e401da17b34aac8f8b3685f662f7fdad9ce1cf504ec0828ba4aac19f7882f", input={ "scale": 7.5, "steps": 100, "prompt": "painting of girl from behind looking a fleet of imperial ships in the sky, in a meadow of flowers by donato giancola and Eddie Mendoza, elegant, dynamic lighting, beautiful, poster, trending on artstation, poster, anato finnstark, wallpaper, 4 k, award winning, digital art, imperial colors, fantastic view", "ori_width": "768", "ori_height": "768" } ) print(output)To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKENenvironment 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": "231e401da17b34aac8f8b3685f662f7fdad9ce1cf504ec0828ba4aac19f7882f", "input": { "scale": 7.5, "steps": 100, "prompt": "painting of girl from behind looking a fleet of imperial ships in the sky, in a meadow of flowers by donato giancola and Eddie Mendoza, elegant, dynamic lighting, beautiful, poster, trending on artstation, poster, anato finnstark, wallpaper, 4 k, award winning, digital art, imperial colors, fantastic view", "ori_width": "768", "ori_height": "768" } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2022-09-14T21:21:20.439495Z", "created_at": "2022-09-14T21:18:16.764205Z", "data_removed": false, "error": null, "id": "egjxuo6sizffjja7ph4epchb3m", "input": { "scale": 7.5, "steps": 100, "prompt": "painting of girl from behind looking a fleet of imperial ships in the sky, in a meadow of flowers by donato giancola and Eddie Mendoza, elegant, dynamic lighting, beautiful, poster, trending on artstation, poster, anato finnstark, wallpaper, 4 k, award winning, digital art, imperial colors, fantastic view", "ori_width": "768", "ori_height": "768" }, "logs": "Using seed 2564660603. Enter this in 'seed' if you want to produce the same output again!\nGlobal seed set to 2564660603\n\nSampling: 0%| | 0/1 [00:00<?, ?it/s]\n\nData shape for DDIM sampling is (1, 4, 96, 96), 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<00:30, 3.30it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 2%|▏ | 2/100 [00:00<00:24, 3.97it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 3%|▎ | 3/100 [00:00<00:22, 4.27it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 4%|▍ | 4/100 [00:00<00:21, 4.42it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 5%|▌ | 5/100 [00:01<00:21, 4.51it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 6%|▌ | 6/100 [00:01<00:20, 4.57it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 7%|▋ | 7/100 [00:01<00:20, 4.61it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 8%|▊ | 8/100 [00:01<00:19, 4.63it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 9%|▉ | 9/100 [00:02<00:19, 4.65it/s]\u001b[A\u001b[A\n\n\nDDIM 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4.70it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 69%|██████▉ | 31/45 [00:06<00:02, 4.70it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 71%|███████ | 32/45 [00:06<00:02, 4.70it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 73%|███████▎ | 33/45 [00:07<00:02, 4.70it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 76%|███████▌ | 34/45 [00:07<00:02, 4.70it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 78%|███████▊ | 35/45 [00:07<00:02, 4.70it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 80%|████████ | 36/45 [00:07<00:01, 4.70it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 82%|████████▏ | 37/45 [00:07<00:01, 4.70it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 84%|████████▍ | 38/45 [00:08<00:01, 4.70it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 87%|████████▋ | 39/45 [00:08<00:01, 4.70it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 89%|████████▉ | 40/45 [00:08<00:01, 4.70it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 91%|█████████ | 41/45 [00:08<00:00, 4.70it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 93%|█████████▎| 42/45 [00:08<00:00, 4.70it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 96%|█████████▌| 43/45 [00:09<00:00, 4.70it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 98%|█████████▊| 44/45 [00:09<00:00, 4.71it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 100%|██████████| 45/45 [00:09<00:00, 4.71it/s]\u001b[A\u001b[A\u001b[A\nDecoding image: 100%|██████████| 45/45 [00:09<00:00, 4.70it/s]\n\n\n\ndata: 100%|██████████| 1/1 [00:09<00:00, 9.79s/it]\u001b[A\u001b[A\ndata: 100%|██████████| 1/1 [00:09<00:00, 9.79s/it]\n\n\nSlices: 9it [01:28, 9.88s/it]\u001b[A\nSlices: 9it [01:28, 9.88s/it]\n\nPasses: 100%|██████████| 1/1 [01:34<00:00, 94.02s/it]\nPasses: 100%|██████████| 1/1 [01:34<00:00, 94.02s/it]", "metrics": { "predict_time": 119.178849, "total_time": 183.67529 }, "output": "https://replicate.delivery/mgxm/30abcf7f-edfd-4806-b85c-69ec1fcb3ae8/out.png", "started_at": "2022-09-14T21:19:21.260646Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/egjxuo6sizffjja7ph4epchb3m", "cancel": "https://api.replicate.com/v1/predictions/egjxuo6sizffjja7ph4epchb3m/cancel" }, "version": "6cba009c63dce77592f864a4d3584ec21c59d92f4ba2da78319ada831e3725fc" }Generated inUsing seed 2564660603. Enter this in 'seed' if you want to produce the same output again! Global seed set to 2564660603 Sampling: 0%| | 0/1 [00:00<?, ?it/s] Data shape for DDIM sampling is (1, 4, 96, 96), 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<00:30, 3.30it/s] DDIM Sampler: 2%|▏ | 2/100 [00:00<00:24, 3.97it/s] DDIM Sampler: 3%|▎ | 3/100 [00:00<00:22, 4.27it/s] DDIM Sampler: 4%|▍ | 4/100 [00:00<00:21, 4.42it/s] DDIM Sampler: 5%|▌ | 5/100 [00:01<00:21, 4.51it/s] DDIM Sampler: 6%|▌ | 6/100 [00:01<00:20, 4.57it/s] DDIM Sampler: 7%|▋ | 7/100 [00:01<00:20, 4.61it/s] DDIM Sampler: 8%|▊ | 8/100 [00:01<00:19, 4.63it/s] DDIM Sampler: 9%|▉ | 9/100 [00:02<00:19, 4.65it/s] DDIM Sampler: 10%|█ | 10/100 [00:02<00:19, 4.66it/s] DDIM Sampler: 11%|█ | 11/100 [00:02<00:19, 4.67it/s] DDIM Sampler: 12%|█▏ | 12/100 [00:02<00:18, 4.67it/s] DDIM Sampler: 13%|█▎ | 13/100 [00:02<00:18, 4.68it/s] DDIM Sampler: 14%|█▍ | 14/100 [00:03<00:18, 4.68it/s] DDIM Sampler: 15%|█▌ | 15/100 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100/100 [00:21<00:00, 4.67it/s] data: 100%|██████████| 1/1 [00:22<00:00, 22.61s/it] data: 100%|██████████| 1/1 [00:22<00:00, 22.61s/it] Sampling: 100%|██████████| 1/1 [00:22<00:00, 22.61s/it] Sampling: 100%|██████████| 1/1 [00:22<00:00, 22.61s/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<00:10, 4.18it/s] Decoding image: 4%|▍ | 2/45 [00:00<00:09, 4.46it/s] Decoding image: 7%|▋ | 3/45 [00:00<00:09, 4.55it/s] Decoding image: 9%|▉ | 4/45 [00:00<00:08, 4.60it/s] Decoding image: 11%|█ | 5/45 [00:01<00:08, 4.63it/s] Decoding image: 13%|█▎ | 6/45 [00:01<00:08, 4.64it/s] Decoding image: 16%|█▌ | 7/45 [00:01<00:08, 4.65it/s] Decoding image: 18%|█▊ | 8/45 [00:01<00:07, 4.65it/s] Decoding image: 20%|██ | 9/45 [00:01<00:07, 4.66it/s] Decoding image: 22%|██▏ | 10/45 [00:02<00:07, 4.66it/s] Decoding image: 24%|██▍ | 11/45 [00:02<00:07, 4.67it/s] Decoding image: 27%|██▋ | 12/45 [00:02<00:07, 4.67it/s] Decoding image: 29%|██▉ | 13/45 [00:02<00:06, 4.67it/s] Decoding image: 31%|███ | 14/45 [00:03<00:06, 4.67it/s] Decoding image: 33%|███▎ | 15/45 [00:03<00:06, 4.67it/s] Decoding image: 36%|███▌ | 16/45 [00:03<00:06, 4.67it/s] Decoding image: 38%|███▊ | 17/45 [00:03<00:05, 4.67it/s] Decoding image: 40%|████ | 18/45 [00:03<00:05, 4.67it/s] Decoding image: 42%|████▏ | 19/45 [00:04<00:05, 4.67it/s] Decoding image: 44%|████▍ | 20/45 [00:04<00:05, 4.68it/s] Decoding image: 47%|████▋ | 21/45 [00:04<00:05, 4.68it/s] Decoding image: 49%|████▉ | 22/45 [00:04<00:04, 4.67it/s] Decoding image: 51%|█████ | 23/45 [00:04<00:04, 4.68it/s] Decoding image: 53%|█████▎ | 24/45 [00:05<00:04, 4.67it/s] Decoding image: 56%|█████▌ | 25/45 [00:05<00:04, 4.68it/s] Decoding image: 58%|█████▊ | 26/45 [00:05<00:04, 4.68it/s] Decoding image: 60%|██████ | 27/45 [00:05<00:03, 4.68it/s] Decoding image: 62%|██████▏ | 28/45 [00:06<00:03, 4.68it/s] Decoding image: 64%|██████▍ | 29/45 [00:06<00:03, 4.68it/s] Decoding image: 67%|██████▋ | 30/45 [00:06<00:03, 4.68it/s] Decoding image: 69%|██████▉ | 31/45 [00:06<00:02, 4.69it/s] Decoding image: 71%|███████ | 32/45 [00:06<00:02, 4.69it/s] Decoding image: 73%|███████▎ | 33/45 [00:07<00:02, 4.69it/s] Decoding image: 76%|███████▌ | 34/45 [00:07<00:02, 4.70it/s] Decoding image: 78%|███████▊ | 35/45 [00:07<00:02, 4.70it/s] Decoding image: 80%|████████ | 36/45 [00:07<00:01, 4.70it/s] Decoding image: 82%|████████▏ | 37/45 [00:07<00:01, 4.70it/s] Decoding image: 84%|████████▍ | 38/45 [00:08<00:01, 4.70it/s] Decoding image: 87%|████████▋ | 39/45 [00:08<00:01, 4.70it/s] Decoding image: 89%|████████▉ | 40/45 [00:08<00:01, 4.70it/s] Decoding image: 91%|█████████ | 41/45 [00:08<00:00, 4.70it/s] Decoding image: 93%|█████████▎| 42/45 [00:08<00:00, 4.70it/s] Decoding image: 96%|█████████▌| 43/45 [00:09<00:00, 4.70it/s] Decoding image: 98%|█████████▊| 44/45 [00:09<00:00, 4.70it/s] Decoding image: 100%|██████████| 45/45 [00:09<00:00, 4.70it/s] Decoding image: 100%|██████████| 45/45 [00:09<00:00, 4.67it/s] data: 100%|██████████| 1/1 [00:09<00:00, 9.84s/it] data: 100%|██████████| 1/1 [00:09<00:00, 9.84s/it] Slices: 1it [00:09, 9.94s/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<00:09, 4.54it/s] Decoding image: 4%|▍ | 2/45 [00:00<00:09, 4.64it/s] Decoding image: 7%|▋ | 3/45 [00:00<00:09, 4.67it/s] Decoding image: 9%|▉ | 4/45 [00:00<00:08, 4.68it/s] Decoding image: 11%|█ | 5/45 [00:01<00:08, 4.69it/s] Decoding image: 13%|█▎ | 6/45 [00:01<00:08, 4.70it/s] Decoding image: 16%|█▌ | 7/45 [00:01<00:08, 4.70it/s] Decoding image: 18%|█▊ | 8/45 [00:01<00:07, 4.70it/s] Decoding image: 20%|██ | 9/45 [00:01<00:07, 4.70it/s] Decoding image: 22%|██▏ | 10/45 [00:02<00:07, 4.70it/s] Decoding image: 24%|██▍ | 11/45 [00:02<00:07, 4.70it/s] Decoding image: 27%|██▋ | 12/45 [00:02<00:07, 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cjwbw/stable-diffusion-high-resolution:231e401dIDe335dc2vmbd5rjxk2vbhr2z5liStatusSucceededSourceWebHardware–Total durationCreatedInput
- scale
- 7.5
- steps
- 100
- prompt
- 55mm closeup hand photo of a breathtaking majestic beautiful armored redhead woman mage holding a tiny ball of fire in her hand on a snowy night in the village. zoom on the hand. focus on hand. dof. bokeh. art by greg rutkowski and luis royo. ultra reallistic. extremely detailed. nikon d850. cinematic postprocessing
- ori_width
- "512"
- ori_height
- "512"
{ "scale": 7.5, "steps": 100, "prompt": "55mm closeup hand photo of a breathtaking majestic beautiful armored redhead woman mage holding a tiny ball of fire in her hand on a snowy night in the village. zoom on the hand. focus on hand. dof. bokeh. art by greg rutkowski and luis royo. ultra reallistic. extremely detailed. nikon d850. cinematic postprocessing", "ori_width": "512", "ori_height": "512" }Install Replicate’s Node.js client library:npm install replicateSet theREPLICATE_API_TOKENenvironment 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:231e401da17b34aac8f8b3685f662f7fdad9ce1cf504ec0828ba4aac19f7882f", { input: { scale: 7.5, steps: 100, prompt: "55mm closeup hand photo of a breathtaking majestic beautiful armored redhead woman mage holding a tiny ball of fire in her hand on a snowy night in the village. zoom on the hand. focus on hand. dof. bokeh. art by greg rutkowski and luis royo. ultra reallistic. extremely detailed. nikon d850. cinematic postprocessing", 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 theREPLICATE_API_TOKENenvironment 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:231e401da17b34aac8f8b3685f662f7fdad9ce1cf504ec0828ba4aac19f7882f", input={ "scale": 7.5, "steps": 100, "prompt": "55mm closeup hand photo of a breathtaking majestic beautiful armored redhead woman mage holding a tiny ball of fire in her hand on a snowy night in the village. zoom on the hand. focus on hand. dof. bokeh. art by greg rutkowski and luis royo. ultra reallistic. extremely detailed. nikon d850. cinematic postprocessing", "ori_width": "512", "ori_height": "512" } ) print(output)To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKENenvironment 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": "231e401da17b34aac8f8b3685f662f7fdad9ce1cf504ec0828ba4aac19f7882f", "input": { "scale": 7.5, "steps": 100, "prompt": "55mm closeup hand photo of a breathtaking majestic beautiful armored redhead woman mage holding a tiny ball of fire in her hand on a snowy night in the village. zoom on the hand. focus on hand. dof. bokeh. art by greg rutkowski and luis royo. ultra reallistic. extremely detailed. nikon d850. cinematic postprocessing", "ori_width": "512", "ori_height": "512" } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2022-09-14T21:44:20.323989Z", "created_at": "2022-09-14T21:42:32.833652Z", "data_removed": false, "error": null, "id": "e335dc2vmbd5rjxk2vbhr2z5li", "input": { "scale": 7.5, "steps": 100, "prompt": "55mm closeup hand photo of a breathtaking majestic beautiful armored redhead woman mage holding a tiny ball of fire in her hand on a snowy night in the village. zoom on the hand. focus on hand. dof. bokeh. art by greg rutkowski and luis royo. ultra reallistic. extremely detailed. nikon d850. cinematic postprocessing", "ori_width": "512", "ori_height": "512" }, "logs": "Using seed 2713758505. Enter this in 'seed' if you want to produce the same output again!\nGlobal seed set to 2713758505\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<00:20, 4.93it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 3%|▎ | 3/100 [00:00<00:11, 8.21it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 5%|▌ | 5/100 [00:00<00:10, 9.36it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 7%|▋ | 7/100 [00:00<00:09, 9.99it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 9%|▉ | 9/100 [00:00<00:08, 10.34it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 11%|█ | 11/100 [00:01<00:08, 10.54it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 13%|█▎ | 13/100 [00:01<00:08, 10.74it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 15%|█▌ | 15/100 [00:01<00:07, 10.72it/s]\u001b[A\u001b[A\n\n\nDDIM Sampler: 17%|█▋ | 17/100 [00:01<00:07, 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100%|██████████| 45/45 [00:04<00:00, 11.02it/s]\u001b[A\u001b[A\u001b[A\nDecoding image: 100%|██████████| 45/45 [00:04<00:00, 10.97it/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: 1it [00:04, 4.27s/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, 10.75it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 9%|▉ | 4/45 [00:00<00:03, 10.97it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 13%|█▎ | 6/45 [00:00<00:03, 11.05it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 18%|█▊ | 8/45 [00:00<00:03, 10.99it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 22%|██▏ | 10/45 [00:00<00:03, 11.01it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 27%|██▋ | 12/45 [00:01<00:02, 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4.20s/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, 10.70it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 9%|▉ | 4/45 [00:00<00:03, 10.89it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 13%|█▎ | 6/45 [00:00<00:03, 11.03it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 18%|█▊ | 8/45 [00:00<00:03, 11.08it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 22%|██▏ | 10/45 [00:00<00:03, 11.13it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 27%|██▋ | 12/45 [00:01<00:02, 11.15it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 31%|███ | 14/45 [00:01<00:02, 11.15it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 36%|███▌ | 16/45 [00:01<00:02, 10.71it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 40%|████ | 18/45 [00:01<00:02, 10.85it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 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10.94it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 93%|█████████▎| 42/45 [00:03<00:00, 11.05it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 98%|█████████▊| 44/45 [00:03<00:00, 11.14it/s]\u001b[A\u001b[A\u001b[A\nDecoding image: 100%|██████████| 45/45 [00:04<00:00, 11.04it/s]\n\n\n\ndata: 100%|██████████| 1/1 [00:04<00:00, 4.19s/it]\u001b[A\u001b[A\ndata: 100%|██████████| 1/1 [00:04<00:00, 4.19s/it]\n\n\nSlices: 6it [00:25, 4.21s/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, 10.61it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 9%|▉ | 4/45 [00:00<00:03, 11.01it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 13%|█▎ | 6/45 [00:00<00:03, 11.09it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 18%|█▊ | 8/45 [00:00<00:03, 11.11it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 22%|██▏ | 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11.00it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 53%|█████▎ | 24/45 [00:02<00:01, 10.96it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 58%|█████▊ | 26/45 [00:02<00:01, 10.87it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 62%|██████▏ | 28/45 [00:02<00:01, 10.96it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 67%|██████▋ | 30/45 [00:02<00:01, 11.00it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 71%|███████ | 32/45 [00:02<00:01, 11.03it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 76%|███████▌ | 34/45 [00:03<00:00, 11.03it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 80%|████████ | 36/45 [00:03<00:00, 11.01it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 84%|████████▍ | 38/45 [00:03<00:00, 11.03it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 89%|████████▉ | 40/45 [00:03<00:00, 11.04it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 93%|█████████▎| 42/45 [00:03<00:00, 11.08it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 98%|█████████▊| 44/45 [00:03<00:00, 11.11it/s]\u001b[A\u001b[A\u001b[A\nDecoding image: 100%|██████████| 45/45 [00:04<00:00, 11.00it/s]\n\n\n\ndata: 100%|██████████| 1/1 [00:04<00:00, 4.20s/it]\u001b[A\u001b[A\ndata: 100%|██████████| 1/1 [00:04<00:00, 4.20s/it]\n\n\nSlices: 8it [00:33, 4.23s/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, 10.82it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 9%|▉ | 4/45 [00:00<00:03, 11.09it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 13%|█▎ | 6/45 [00:00<00:03, 11.13it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 18%|█▊ | 8/45 [00:00<00:03, 11.16it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 22%|██▏ | 10/45 [00:00<00:03, 11.08it/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, 11.07it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 36%|███▌ | 16/45 [00:01<00:02, 11.10it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 40%|████ | 18/45 [00:01<00:02, 11.05it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 44%|████▍ | 20/45 [00:01<00:02, 11.00it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 49%|████▉ | 22/45 [00:02<00:02, 10.83it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 53%|█████▎ | 24/45 [00:02<00:01, 10.91it/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, 10.98it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 71%|███████ | 32/45 [00:02<00:01, 10.84it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 76%|███████▌ | 34/45 [00:03<00:01, 10.80it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 80%|████████ | 36/45 [00:03<00:00, 10.89it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 84%|████████▍ | 38/45 [00:03<00:00, 10.90it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 89%|████████▉ | 40/45 [00:03<00:00, 10.64it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 93%|█████████▎| 42/45 [00:03<00:00, 10.71it/s]\u001b[A\u001b[A\u001b[A\n\n\n\nDecoding image: 98%|█████████▊| 44/45 [00:04<00:00, 10.76it/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: 9it [00:38, 4.24s/it]\u001b[A\nSlices: 9it [00:38, 4.23s/it]\n\nPasses: 100%|██████████| 1/1 [00:40<00:00, 40.17s/it]\nPasses: 100%|██████████| 1/1 [00:40<00:00, 40.17s/it]", "metrics": { "predict_time": 51.785697, "total_time": 107.490337 }, "output": "https://replicate.delivery/mgxm/452a8297-47e3-4d57-8c1a-b8e9f9ce44b4/out.png", "started_at": "2022-09-14T21:43:28.538292Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/e335dc2vmbd5rjxk2vbhr2z5li", "cancel": "https://api.replicate.com/v1/predictions/e335dc2vmbd5rjxk2vbhr2z5li/cancel" }, "version": "6cba009c63dce77592f864a4d3584ec21c59d92f4ba2da78319ada831e3725fc" }Generated inUsing seed 2713758505. Enter this in 'seed' if you want to produce the same output again! Global seed set to 2713758505 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<00:20, 4.93it/s] DDIM Sampler: 3%|▎ | 3/100 [00:00<00:11, 8.21it/s] DDIM Sampler: 5%|▌ | 5/100 [00:00<00:10, 9.36it/s] DDIM Sampler: 7%|▋ | 7/100 [00:00<00:09, 9.99it/s] DDIM Sampler: 9%|▉ | 9/100 [00:00<00:08, 10.34it/s] DDIM Sampler: 11%|█ | 11/100 [00:01<00:08, 10.54it/s] DDIM Sampler: 13%|█▎ | 13/100 [00:01<00:08, 10.74it/s] DDIM Sampler: 15%|█▌ | 15/100 [00:01<00:07, 10.72it/s] DDIM Sampler: 17%|█▋ | 17/100 [00:01<00:07, 10.81it/s] DDIM Sampler: 19%|█▉ | 19/100 [00:01<00:07, 10.92it/s] DDIM Sampler: 21%|██ | 21/100 [00:02<00:07, 10.96it/s] DDIM Sampler: 23%|██▎ | 23/100 [00:02<00:06, 11.02it/s] DDIM Sampler: 25%|██▌ | 25/100 [00:02<00:06, 10.93it/s] DDIM Sampler: 27%|██▋ | 27/100 [00:02<00:06, 10.96it/s] DDIM Sampler: 29%|██▉ | 29/100 [00:02<00:06, 11.01it/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, 11.12it/s] DDIM Sampler: 37%|███▋ | 37/100 [00:03<00:05, 11.01it/s] DDIM Sampler: 39%|███▉ | 39/100 [00:03<00:05, 11.02it/s] DDIM Sampler: 41%|████ | 41/100 [00:03<00:05, 11.07it/s] DDIM Sampler: 43%|████▎ | 43/100 [00:04<00:05, 10.65it/s] DDIM Sampler: 45%|████▌ | 45/100 [00:04<00:05, 10.70it/s] DDIM Sampler: 47%|████▋ | 47/100 [00:04<00:04, 10.75it/s] DDIM Sampler: 49%|████▉ | 49/100 [00:04<00:04, 10.81it/s] DDIM Sampler: 51%|█████ | 51/100 [00:04<00:04, 10.92it/s] DDIM Sampler: 53%|█████▎ | 53/100 [00:04<00:04, 11.00it/s] DDIM Sampler: 55%|█████▌ | 55/100 [00:05<00:04, 11.04it/s] DDIM Sampler: 57%|█████▋ | 57/100 [00:05<00:03, 11.09it/s] DDIM Sampler: 59%|█████▉ | 59/100 [00:05<00:03, 10.95it/s] DDIM Sampler: 61%|██████ | 61/100 [00:05<00:03, 11.00it/s] DDIM Sampler: 63%|██████▎ | 63/100 [00:05<00:03, 11.07it/s] DDIM Sampler: 65%|██████▌ | 65/100 [00:06<00:03, 11.11it/s] DDIM Sampler: 67%|██████▋ | 67/100 [00:06<00:02, 11.15it/s] DDIM Sampler: 69%|██████▉ | 69/100 [00:06<00:02, 11.11it/s] DDIM Sampler: 71%|███████ | 71/100 [00:06<00:02, 11.01it/s] DDIM Sampler: 73%|███████▎ | 73/100 [00:06<00:02, 11.12it/s] DDIM Sampler: 75%|███████▌ | 75/100 [00:06<00:02, 11.08it/s] DDIM Sampler: 77%|███████▋ | 77/100 [00:07<00:02, 11.07it/s] DDIM Sampler: 79%|███████▉ | 79/100 [00:07<00:01, 11.07it/s] DDIM Sampler: 81%|████████ | 81/100 [00:07<00:01, 11.07it/s] DDIM Sampler: 83%|████████▎ | 83/100 [00:07<00:01, 11.14it/s] DDIM Sampler: 85%|████████▌ | 85/100 [00:07<00:01, 11.16it/s] DDIM Sampler: 87%|████████▋ | 87/100 [00:08<00:01, 11.20it/s] DDIM Sampler: 89%|████████▉ | 89/100 [00:08<00:00, 11.21it/s] DDIM Sampler: 91%|█████████ | 91/100 [00:08<00:00, 11.24it/s] DDIM Sampler: 93%|█████████▎| 93/100 [00:08<00:00, 11.00it/s] DDIM Sampler: 95%|█████████▌| 95/100 [00:08<00:00, 11.02it/s] DDIM Sampler: 97%|█████████▋| 97/100 [00:08<00:00, 11.08it/s] DDIM Sampler: 99%|█████████▉| 99/100 [00:09<00:00, 11.04it/s] DDIM Sampler: 100%|██████████| 100/100 [00:09<00:00, 10.88it/s] data: 100%|██████████| 1/1 [00:10<00:00, 10.16s/it] data: 100%|██████████| 1/1 [00:10<00:00, 10.16s/it] Sampling: 100%|██████████| 1/1 [00:10<00:00, 10.16s/it] Sampling: 100%|██████████| 1/1 [00:10<00:00, 10.16s/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, 9.68it/s] Decoding image: 7%|▋ | 3/45 [00:00<00:04, 10.45it/s] Decoding image: 11%|█ | 5/45 [00:00<00:03, 10.78it/s] Decoding image: 16%|█▌ | 7/45 [00:00<00:03, 10.82it/s] Decoding image: 20%|██ | 9/45 [00:00<00:03, 10.70it/s] Decoding image: 24%|██▍ | 11/45 [00:01<00:03, 10.91it/s] Decoding image: 29%|██▉ | 13/45 [00:01<00:02, 10.93it/s] Decoding image: 33%|███▎ | 15/45 [00:01<00:02, 10.97it/s] Decoding image: 38%|███▊ | 17/45 [00:01<00:02, 11.03it/s] Decoding image: 42%|████▏ | 19/45 [00:01<00:02, 11.03it/s] Decoding image: 47%|████▋ | 21/45 [00:01<00:02, 11.02it/s] Decoding image: 51%|█████ | 23/45 [00:02<00:01, 11.07it/s] Decoding image: 56%|█████▌ | 25/45 [00:02<00:01, 11.04it/s] Decoding image: 60%|██████ | 27/45 [00:02<00:01, 11.04it/s] Decoding image: 64%|██████▍ | 29/45 [00:02<00:01, 11.02it/s] Decoding image: 69%|██████▉ | 31/45 [00:02<00:01, 11.04it/s] Decoding image: 73%|███████▎ | 33/45 [00:03<00:01, 10.94it/s] Decoding image: 78%|███████▊ | 35/45 [00:03<00:00, 11.02it/s] Decoding image: 82%|████████▏ | 37/45 [00:03<00:00, 11.07it/s] Decoding image: 87%|████████▋ | 39/45 [00:03<00:00, 11.09it/s] Decoding image: 91%|█████████ | 41/45 [00:03<00:00, 11.05it/s] Decoding image: 96%|█████████▌| 43/45 [00:03<00:00, 10.96it/s] Decoding image: 100%|██████████| 45/45 [00:04<00:00, 11.02it/s] Decoding image: 100%|██████████| 45/45 [00:04<00:00, 10.97it/s] data: 100%|██████████| 1/1 [00:04<00:00, 4.22s/it] data: 100%|██████████| 1/1 [00:04<00:00, 4.22s/it] Slices: 1it [00:04, 4.27s/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, 10.75it/s] Decoding image: 9%|▉ | 4/45 [00:00<00:03, 10.97it/s] Decoding image: 13%|█▎ | 6/45 [00:00<00:03, 11.05it/s] Decoding image: 18%|█▊ | 8/45 [00:00<00:03, 10.99it/s] Decoding image: 22%|██▏ | 10/45 [00:00<00:03, 11.01it/s] Decoding image: 27%|██▋ | 12/45 [00:01<00:02, 11.03it/s] Decoding image: 31%|███ | 14/45 [00:01<00:02, 11.07it/s] Decoding image: 36%|███▌ | 16/45 [00:01<00:02, 11.09it/s] Decoding image: 40%|████ | 18/45 [00:01<00:02, 11.13it/s] Decoding image: 44%|████▍ | 20/45 [00:01<00:02, 11.06it/s] Decoding image: 49%|████▉ | 22/45 [00:01<00:02, 11.10it/s] Decoding image: 53%|█████▎ | 24/45 [00:02<00:01, 11.15it/s] Decoding image: 58%|█████▊ | 26/45 [00:02<00:01, 11.18it/s] Decoding image: 62%|██████▏ | 28/45 [00:02<00:01, 11.09it/s] Decoding image: 67%|██████▋ | 30/45 [00:02<00:01, 10.97it/s] Decoding image: 71%|███████ | 32/45 [00:02<00:01, 11.02it/s] Decoding image: 76%|███████▌ | 34/45 [00:03<00:01, 10.78it/s] Decoding image: 80%|████████ | 36/45 [00:03<00:00, 10.86it/s] Decoding image: 84%|████████▍ | 38/45 [00:03<00:00, 10.95it/s] Decoding image: 89%|████████▉ | 40/45 [00:03<00:00, 11.04it/s] Decoding image: 93%|█████████▎| 42/45 [00:03<00:00, 11.12it/s] Decoding image: 98%|█████████▊| 44/45 [00:03<00:00, 11.19it/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: 2it [00:08, 4.24s/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, 10.75it/s] Decoding image: 9%|▉ | 4/45 [00:00<00:03, 10.97it/s] Decoding image: 13%|█▎ | 6/45 [00:00<00:03, 11.06it/s] Decoding image: 18%|█▊ | 8/45 [00:00<00:03, 11.08it/s] Decoding image: 22%|██▏ | 10/45 [00:00<00:03, 11.13it/s] Decoding image: 27%|██▋ | 12/45 [00:01<00:02, 11.08it/s] Decoding image: 31%|███ | 14/45 [00:01<00:02, 11.07it/s] Decoding image: 36%|███▌ | 16/45 [00:01<00:02, 11.04it/s] Decoding image: 40%|████ | 18/45 [00:01<00:02, 11.02it/s] Decoding image: 44%|████▍ | 20/45 [00:01<00:02, 11.04it/s] Decoding image: 49%|████▉ | 22/45 [00:01<00:02, 11.11it/s] Decoding image: 53%|█████▎ | 24/45 [00:02<00:01, 11.11it/s] Decoding image: 58%|█████▊ | 26/45 [00:02<00:01, 11.14it/s] Decoding image: 62%|██████▏ | 28/45 [00:02<00:01, 11.17it/s] Decoding image: 67%|██████▋ | 30/45 [00:02<00:01, 11.14it/s] Decoding image: 71%|███████ | 32/45 [00:02<00:01, 11.18it/s] Decoding image: 76%|███████▌ | 34/45 [00:03<00:00, 11.19it/s] Decoding image: 80%|████████ | 36/45 [00:03<00:00, 11.23it/s] Decoding image: 84%|████████▍ | 38/45 [00:03<00:00, 11.26it/s] Decoding image: 89%|████████▉ | 40/45 [00:03<00:00, 11.30it/s] Decoding image: 93%|█████████▎| 42/45 [00:03<00:00, 11.31it/s] Decoding image: 98%|█████████▊| 44/45 [00:03<00:00, 11.33it/s] Decoding image: 100%|██████████| 45/45 [00:04<00:00, 11.17it/s] data: 100%|██████████| 1/1 [00:04<00:00, 4.14s/it] data: 100%|██████████| 1/1 [00:04<00:00, 4.14s/it] Slices: 3it [00:12, 4.21s/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, 11.06it/s] Decoding image: 13%|█▎ | 6/45 [00:00<00:03, 11.15it/s] Decoding image: 18%|█▊ | 8/45 [00:00<00:03, 11.19it/s] Decoding image: 22%|██▏ | 10/45 [00:00<00:03, 11.21it/s] Decoding image: 27%|██▋ | 12/45 [00:01<00:02, 11.18it/s] Decoding image: 31%|███ | 14/45 [00:01<00:02, 11.25it/s] Decoding image: 36%|███▌ | 16/45 [00:01<00:02, 11.29it/s] Decoding image: 40%|████ | 18/45 [00:01<00:02, 11.22it/s] Decoding image: 44%|████▍ | 20/45 [00:01<00:02, 11.28it/s] Decoding image: 49%|████▉ | 22/45 [00:01<00:02, 11.32it/s] Decoding image: 53%|█████▎ | 24/45 [00:02<00:01, 11.23it/s] Decoding image: 58%|█████▊ | 26/45 [00:02<00:01, 11.24it/s] Decoding image: 62%|██████▏ | 28/45 [00:02<00:01, 11.18it/s] Decoding image: 67%|██████▋ | 30/45 [00:02<00:01, 11.03it/s] Decoding image: 71%|███████ | 32/45 [00:02<00:01, 11.06it/s] Decoding image: 76%|███████▌ | 34/45 [00:03<00:00, 11.10it/s] Decoding image: 80%|████████ | 36/45 [00:03<00:00, 11.13it/s] Decoding image: 84%|████████▍ | 38/45 [00:03<00:00, 11.16it/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, 11.15it/s] Decoding image: 100%|██████████| 45/45 [00:04<00:00, 11.16it/s] data: 100%|██████████| 1/1 [00:04<00:00, 4.15s/it] data: 100%|██████████| 1/1 [00:04<00:00, 4.15s/it] Slices: 4it [00:16, 4.20s/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, 10.82it/s] Decoding image: 9%|▉ | 4/45 [00:00<00:03, 10.94it/s] Decoding image: 13%|█▎ | 6/45 [00:00<00:03, 10.66it/s] Decoding image: 18%|█▊ | 8/45 [00:00<00:03, 10.89it/s] Decoding image: 22%|██▏ | 10/45 [00:00<00:03, 10.97it/s] Decoding image: 27%|██▋ | 12/45 [00:01<00:02, 11.02it/s] Decoding image: 31%|███ | 14/45 [00:01<00:02, 11.08it/s] Decoding image: 36%|███▌ | 16/45 [00:01<00:02, 11.09it/s] Decoding image: 40%|████ | 18/45 [00:01<00:02, 11.07it/s] Decoding image: 44%|████▍ | 20/45 [00:01<00:02, 11.05it/s] Decoding image: 49%|████▉ | 22/45 [00:01<00:02, 11.09it/s] Decoding image: 53%|█████▎ | 24/45 [00:02<00:01, 11.16it/s] Decoding image: 58%|█████▊ | 26/45 [00:02<00:01, 11.17it/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, 11.18it/s] Decoding image: 76%|███████▌ | 34/45 [00:03<00:00, 11.19it/s] Decoding image: 80%|████████ | 36/45 [00:03<00:00, 11.24it/s] Decoding image: 84%|████████▍ | 38/45 [00:03<00:00, 11.27it/s] Decoding image: 89%|████████▉ | 40/45 [00:03<00:00, 11.29it/s] Decoding image: 93%|█████████▎| 42/45 [00:03<00:00, 11.29it/s] Decoding image: 98%|█████████▊| 44/45 [00:03<00:00, 11.23it/s] Decoding image: 100%|██████████| 45/45 [00:04<00:00, 11.13it/s] data: 100%|██████████| 1/1 [00:04<00:00, 4.16s/it] data: 100%|██████████| 1/1 [00:04<00:00, 4.16s/it] Slices: 5it [00:21, 4.20s/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, 10.70it/s] Decoding image: 9%|▉ | 4/45 [00:00<00:03, 10.89it/s] Decoding image: 13%|█▎ | 6/45 [00:00<00:03, 11.03it/s] Decoding image: 18%|█▊ | 8/45 [00:00<00:03, 11.08it/s] Decoding image: 22%|██▏ | 10/45 [00:00<00:03, 11.13it/s] Decoding image: 27%|██▋ | 12/45 [00:01<00:02, 11.15it/s] Decoding image: 31%|███ | 14/45 [00:01<00:02, 11.15it/s] Decoding image: 36%|███▌ | 16/45 [00:01<00:02, 10.71it/s] Decoding image: 40%|████ | 18/45 [00:01<00:02, 10.85it/s] Decoding image: 44%|████▍ | 20/45 [00:01<00:02, 11.01it/s] Decoding image: 49%|████▉ | 22/45 [00:01<00:02, 11.12it/s] Decoding image: 53%|█████▎ | 24/45 [00:02<00:01, 11.18it/s] Decoding image: 58%|█████▊ | 26/45 [00:02<00:01, 11.06it/s] Decoding image: 62%|██████▏ | 28/45 [00:02<00:01, 11.05it/s] Decoding image: 67%|██████▋ | 30/45 [00:02<00:01, 11.08it/s] Decoding image: 71%|███████ | 32/45 [00:02<00:01, 11.05it/s] Decoding image: 76%|███████▌ | 34/45 [00:03<00:00, 11.02it/s] Decoding image: 80%|████████ | 36/45 [00:03<00:00, 11.02it/s] Decoding image: 84%|████████▍ | 38/45 [00:03<00:00, 10.88it/s] Decoding image: 89%|████████▉ | 40/45 [00:03<00:00, 10.94it/s] Decoding image: 93%|█████████▎| 42/45 [00:03<00:00, 11.05it/s] Decoding image: 98%|█████████▊| 44/45 [00:03<00:00, 11.14it/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: 6it [00:25, 4.21s/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, 10.61it/s] Decoding image: 9%|▉ | 4/45 [00:00<00:03, 11.01it/s] Decoding image: 13%|█▎ | 6/45 [00:00<00:03, 11.09it/s] Decoding image: 18%|█▊ | 8/45 [00:00<00:03, 11.11it/s] Decoding image: 22%|██▏ | 10/45 [00:00<00:03, 11.11it/s] Decoding image: 27%|██▋ | 12/45 [00:01<00:02, 11.10it/s] Decoding image: 31%|███ | 14/45 [00:01<00:02, 10.97it/s] Decoding image: 36%|███▌ | 16/45 [00:01<00:02, 10.96it/s] Decoding image: 40%|████ | 18/45 [00:01<00:02, 11.03it/s] Decoding image: 44%|████▍ | 20/45 [00:01<00:02, 11.08it/s] Decoding image: 49%|████▉ | 22/45 [00:01<00:02, 11.04it/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, 10.93it/s] Decoding image: 67%|██████▋ | 30/45 [00:02<00:01, 11.03it/s] Decoding image: 71%|███████ | 32/45 [00:02<00:01, 11.11it/s] Decoding image: 76%|███████▌ | 34/45 [00:03<00:00, 11.11it/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, 11.13it/s] Decoding image: 98%|█████████▊| 44/45 [00:03<00:00, 11.09it/s] Decoding image: 100%|██████████| 45/45 [00:04<00:00, 11.05it/s] data: 100%|██████████| 1/1 [00:04<00:00, 4.19s/it] data: 100%|██████████| 1/1 [00:04<00:00, 4.19s/it] Slices: 7it [00:29, 4.22s/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, 10.71it/s] Decoding image: 9%|▉ | 4/45 [00:00<00:03, 10.94it/s] Decoding image: 13%|█▎ | 6/45 [00:00<00:03, 10.98it/s] Decoding image: 18%|█▊ | 8/45 [00:00<00:03, 10.98it/s] Decoding image: 22%|██▏ | 10/45 [00:00<00:03, 10.97it/s] Decoding image: 27%|██▋ | 12/45 [00:01<00:03, 10.97it/s] Decoding image: 31%|███ | 14/45 [00:01<00:02, 10.97it/s] Decoding image: 36%|███▌ | 16/45 [00:01<00:02, 11.00it/s] Decoding image: 40%|████ | 18/45 [00:01<00:02, 10.98it/s] Decoding image: 44%|████▍ | 20/45 [00:01<00:02, 10.97it/s] Decoding image: 49%|████▉ | 22/45 [00:02<00:02, 11.00it/s] Decoding image: 53%|█████▎ | 24/45 [00:02<00:01, 10.96it/s] Decoding image: 58%|█████▊ | 26/45 [00:02<00:01, 10.87it/s] Decoding image: 62%|██████▏ | 28/45 [00:02<00:01, 10.96it/s] Decoding image: 67%|██████▋ | 30/45 [00:02<00:01, 11.00it/s] Decoding image: 71%|███████ | 32/45 [00:02<00:01, 11.03it/s] Decoding image: 76%|███████▌ | 34/45 [00:03<00:00, 11.03it/s] Decoding image: 80%|████████ | 36/45 [00:03<00:00, 11.01it/s] Decoding image: 84%|████████▍ | 38/45 [00:03<00:00, 11.03it/s] Decoding image: 89%|████████▉ | 40/45 [00:03<00:00, 11.04it/s] Decoding image: 93%|█████████▎| 42/45 [00:03<00:00, 11.08it/s] Decoding image: 98%|█████████▊| 44/45 [00:03<00:00, 11.11it/s] Decoding image: 100%|██████████| 45/45 [00:04<00:00, 11.00it/s] data: 100%|██████████| 1/1 [00:04<00:00, 4.20s/it] data: 100%|██████████| 1/1 [00:04<00:00, 4.20s/it] Slices: 8it [00:33, 4.23s/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, 10.82it/s] Decoding image: 9%|▉ | 4/45 [00:00<00:03, 11.09it/s] Decoding image: 13%|█▎ | 6/45 [00:00<00:03, 11.13it/s] Decoding image: 18%|█▊ | 8/45 [00:00<00:03, 11.16it/s] Decoding image: 22%|██▏ | 10/45 [00:00<00:03, 11.08it/s] Decoding image: 27%|██▋ | 12/45 [00:01<00:02, 11.05it/s] Decoding image: 31%|███ | 14/45 [00:01<00:02, 11.07it/s] Decoding image: 36%|███▌ | 16/45 [00:01<00:02, 11.10it/s] Decoding image: 40%|████ | 18/45 [00:01<00:02, 11.05it/s] Decoding image: 44%|████▍ | 20/45 [00:01<00:02, 11.00it/s] Decoding image: 49%|████▉ | 22/45 [00:02<00:02, 10.83it/s] Decoding image: 53%|█████▎ | 24/45 [00:02<00:01, 10.91it/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, 10.98it/s] Decoding image: 71%|███████ | 32/45 [00:02<00:01, 10.84it/s] Decoding image: 76%|███████▌ | 34/45 [00:03<00:01, 10.80it/s] Decoding image: 80%|████████ | 36/45 [00:03<00:00, 10.89it/s] Decoding image: 84%|████████▍ | 38/45 [00:03<00:00, 10.90it/s] Decoding image: 89%|████████▉ | 40/45 [00:03<00:00, 10.64it/s] Decoding image: 93%|█████████▎| 42/45 [00:03<00:00, 10.71it/s] Decoding image: 98%|█████████▊| 44/45 [00:04<00:00, 10.76it/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: 9it [00:38, 4.24s/it] Slices: 9it [00:38, 4.23s/it] Passes: 100%|██████████| 1/1 [00:40<00:00, 40.17s/it] Passes: 100%|██████████| 1/1 [00:40<00:00, 40.17s/it]
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