benjielysium / delib_realv
This model is actually: prompthero / openjourney-v4
- Public
- 279 runs
Prediction
benjielysium/delib_realv:c581bb078c9f74e580960262a493d9ea186b2e76e2a71713b4daa4a900ccc9a5IDvhiexiczy5bhzpfiyqe2664qoaStatusSucceededSourceWebHardwareT4Total durationCreatedInput
- width
- "512"
- height
- "512"
- prompt
- RAW photo, a close-up portrait shot of a corporate (man:1.4) CEO overlord looking at the viewer, (expensive haute couture:1.2), embroidered leather jacket embedded with advanced devices, velvet cape, gleaming technology, background is a ((dystopian)) perfect futuristic high-rise office, (high detailed skin:1.2), textured surfaces, ((intricate details, hyperdetailed)), earth tones, muted colors, 8k resolution, (((An extremely complex and advanced technology))), (((hdr)))
- scheduler
- DPMSolverMultistep
- num_outputs
- 1
- guidance_scale
- 7.5
- prompt_strength
- 0.8
- num_inference_steps
- 50
{ "width": "512", "height": "512", "prompt": "RAW photo, a close-up portrait shot of a corporate (man:1.4) CEO overlord looking at the viewer, (expensive haute couture:1.2), embroidered leather jacket embedded with advanced devices, velvet cape, gleaming technology, background is a ((dystopian)) perfect futuristic high-rise office, (high detailed skin:1.2), textured surfaces, ((intricate details, hyperdetailed)), earth tones, muted colors, 8k resolution, (((An extremely complex and advanced technology))), (((hdr)))", "scheduler": "DPMSolverMultistep", "num_outputs": 1, "guidance_scale": 7.5, "prompt_strength": 0.8, "num_inference_steps": 50 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run benjielysium/delib_realv using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "benjielysium/delib_realv:c581bb078c9f74e580960262a493d9ea186b2e76e2a71713b4daa4a900ccc9a5", { input: { width: "512", height: "512", prompt: "RAW photo, a close-up portrait shot of a corporate (man:1.4) CEO overlord looking at the viewer, (expensive haute couture:1.2), embroidered leather jacket embedded with advanced devices, velvet cape, gleaming technology, background is a ((dystopian)) perfect futuristic high-rise office, (high detailed skin:1.2), textured surfaces, ((intricate details, hyperdetailed)), earth tones, muted colors, 8k resolution, (((An extremely complex and advanced technology))), (((hdr)))", scheduler: "DPMSolverMultistep", num_outputs: 1, guidance_scale: 7.5, prompt_strength: 0.8, num_inference_steps: 50 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);
To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicate
Import the client:import replicate
Run benjielysium/delib_realv using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "benjielysium/delib_realv:c581bb078c9f74e580960262a493d9ea186b2e76e2a71713b4daa4a900ccc9a5", input={ "width": "512", "height": "512", "prompt": "RAW photo, a close-up portrait shot of a corporate (man:1.4) CEO overlord looking at the viewer, (expensive haute couture:1.2), embroidered leather jacket embedded with advanced devices, velvet cape, gleaming technology, background is a ((dystopian)) perfect futuristic high-rise office, (high detailed skin:1.2), textured surfaces, ((intricate details, hyperdetailed)), earth tones, muted colors, 8k resolution, (((An extremely complex and advanced technology))), (((hdr)))", "scheduler": "DPMSolverMultistep", "num_outputs": 1, "guidance_scale": 7.5, "prompt_strength": 0.8, "num_inference_steps": 50 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run benjielysium/delib_realv 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": "benjielysium/delib_realv:c581bb078c9f74e580960262a493d9ea186b2e76e2a71713b4daa4a900ccc9a5", "input": { "width": "512", "height": "512", "prompt": "RAW photo, a close-up portrait shot of a corporate (man:1.4) CEO overlord looking at the viewer, (expensive haute couture:1.2), embroidered leather jacket embedded with advanced devices, velvet cape, gleaming technology, background is a ((dystopian)) perfect futuristic high-rise office, (high detailed skin:1.2), textured surfaces, ((intricate details, hyperdetailed)), earth tones, muted colors, 8k resolution, (((An extremely complex and advanced technology))), (((hdr)))", "scheduler": "DPMSolverMultistep", "num_outputs": 1, "guidance_scale": 7.5, "prompt_strength": 0.8, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-05-27T00:08:29.695128Z", "created_at": "2023-05-27T00:07:59.747332Z", "data_removed": false, "error": null, "id": "vhiexiczy5bhzpfiyqe2664qoa", "input": { "width": "512", "height": "512", "prompt": "RAW photo, a close-up portrait shot of a corporate (man:1.4) CEO overlord looking at the viewer, (expensive haute couture:1.2), embroidered leather jacket embedded with advanced devices, velvet cape, gleaming technology, background is a ((dystopian)) perfect futuristic high-rise office, (high detailed skin:1.2), textured surfaces, ((intricate details, hyperdetailed)), earth tones, muted colors, 8k resolution, (((An extremely complex and advanced technology))), (((hdr)))", "scheduler": "DPMSolverMultistep", "num_outputs": 1, "guidance_scale": 7.5, "prompt_strength": 0.8, "num_inference_steps": 50 }, "logs": "Using seed: 65429\nThe config attributes {'clip_sample_range': 1.0} were passed to PNDMScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file.\nThe config attributes {'clip_sample_range': 1.0} were passed to LMSDiscreteScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file.\nThe config attributes {'clip_sample_range': 1.0} were passed to DDIMScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file.\nThe config attributes {'clip_sample_range': 1.0} were passed to EulerDiscreteScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file.\nThe config attributes {'clip_sample_range': 1.0} were passed to EulerAncestralDiscreteScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file.\nThe config attributes {'clip_sample_range': 1.0} were passed to DPMSolverMultistepScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file.\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: [', (( intricate details, hyperdetailed )), earth tones, muted colors, 8 k resolution, ((( an extremely complex and advanced technology ))), ((( hdr )))']\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:29, 1.66it/s]\n 4%|▍ | 2/50 [00:01<00:27, 1.76it/s]\n 6%|▌ | 3/50 [00:01<00:26, 1.78it/s]\n 8%|▊ | 4/50 [00:02<00:25, 1.79it/s]\n 10%|█ | 5/50 [00:02<00:24, 1.80it/s]\n 12%|█▏ | 6/50 [00:03<00:24, 1.80it/s]\n 14%|█▍ | 7/50 [00:03<00:23, 1.81it/s]\n 16%|█▌ | 8/50 [00:04<00:23, 1.80it/s]\n 18%|█▊ | 9/50 [00:05<00:22, 1.81it/s]\n 20%|██ | 10/50 [00:05<00:22, 1.80it/s]\n 22%|██▏ | 11/50 [00:06<00:21, 1.80it/s]\n 24%|██▍ | 12/50 [00:06<00:21, 1.80it/s]\n 26%|██▌ | 13/50 [00:07<00:20, 1.79it/s]\n 28%|██▊ | 14/50 [00:07<00:20, 1.79it/s]\n 30%|███ | 15/50 [00:08<00:19, 1.79it/s]\n 32%|███▏ | 16/50 [00:08<00:19, 1.79it/s]\n 34%|███▍ | 17/50 [00:09<00:18, 1.78it/s]\n 36%|███▌ | 18/50 [00:10<00:17, 1.78it/s]\n 38%|███▊ | 19/50 [00:10<00:17, 1.78it/s]\n 40%|████ | 20/50 [00:11<00:16, 1.78it/s]\n 42%|████▏ | 21/50 [00:11<00:16, 1.77it/s]\n 44%|████▍ | 22/50 [00:12<00:15, 1.77it/s]\n 46%|████▌ | 23/50 [00:12<00:15, 1.77it/s]\n 48%|████▊ | 24/50 [00:13<00:14, 1.77it/s]\n 50%|█████ | 25/50 [00:14<00:14, 1.77it/s]\n 52%|█████▏ | 26/50 [00:14<00:13, 1.76it/s]\n 54%|█████▍ | 27/50 [00:15<00:13, 1.76it/s]\n 56%|█████▌ | 28/50 [00:15<00:12, 1.76it/s]\n 58%|█████▊ | 29/50 [00:16<00:11, 1.76it/s]\n 60%|██████ | 30/50 [00:16<00:11, 1.75it/s]\n 62%|██████▏ | 31/50 [00:17<00:10, 1.75it/s]\n 64%|██████▍ | 32/50 [00:18<00:10, 1.75it/s]\n 66%|██████▌ | 33/50 [00:18<00:09, 1.75it/s]\n 68%|██████▊ | 34/50 [00:19<00:09, 1.75it/s]\n 70%|███████ | 35/50 [00:19<00:08, 1.74it/s]\n 72%|███████▏ | 36/50 [00:20<00:08, 1.74it/s]\n 74%|███████▍ | 37/50 [00:20<00:07, 1.73it/s]\n 76%|███████▌ | 38/50 [00:21<00:06, 1.72it/s]\n 78%|███████▊ | 39/50 [00:22<00:06, 1.73it/s]\n 80%|████████ | 40/50 [00:22<00:05, 1.73it/s]\n 82%|████████▏ | 41/50 [00:23<00:05, 1.72it/s]\n 84%|████████▍ | 42/50 [00:23<00:04, 1.72it/s]\n 86%|████████▌ | 43/50 [00:24<00:04, 1.71it/s]\n 88%|████████▊ | 44/50 [00:24<00:03, 1.71it/s]\n 90%|█████████ | 45/50 [00:25<00:02, 1.71it/s]\n 92%|█████████▏| 46/50 [00:26<00:02, 1.71it/s]\n 94%|█████████▍| 47/50 [00:26<00:01, 1.71it/s]\n 96%|█████████▌| 48/50 [00:27<00:01, 1.70it/s]\n 98%|█████████▊| 49/50 [00:27<00:00, 1.70it/s]\n100%|██████████| 50/50 [00:28<00:00, 1.70it/s]\n100%|██████████| 50/50 [00:28<00:00, 1.75it/s]", "metrics": { "predict_time": 29.971745, "total_time": 29.947796 }, "output": [ "https://replicate.delivery/pbxt/5vh3EKAyHdK7HJKV7SVXQVeBBRBZsoEFYjnUc9zTotTevvfhA/out-0.png" ], "started_at": "2023-05-27T00:07:59.723383Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/vhiexiczy5bhzpfiyqe2664qoa", "cancel": "https://api.replicate.com/v1/predictions/vhiexiczy5bhzpfiyqe2664qoa/cancel" }, "version": "c581bb078c9f74e580960262a493d9ea186b2e76e2a71713b4daa4a900ccc9a5" }
Generated inUsing seed: 65429 The config attributes {'clip_sample_range': 1.0} were passed to PNDMScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file. The config attributes {'clip_sample_range': 1.0} were passed to LMSDiscreteScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file. The config attributes {'clip_sample_range': 1.0} were passed to DDIMScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file. The config attributes {'clip_sample_range': 1.0} were passed to EulerDiscreteScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file. The config attributes {'clip_sample_range': 1.0} were passed to EulerAncestralDiscreteScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file. The config attributes {'clip_sample_range': 1.0} were passed to DPMSolverMultistepScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file. The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: [', (( intricate details, hyperdetailed )), earth tones, muted colors, 8 k resolution, ((( an extremely complex and advanced technology ))), ((( hdr )))'] 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:29, 1.66it/s] 4%|▍ | 2/50 [00:01<00:27, 1.76it/s] 6%|▌ | 3/50 [00:01<00:26, 1.78it/s] 8%|▊ | 4/50 [00:02<00:25, 1.79it/s] 10%|█ | 5/50 [00:02<00:24, 1.80it/s] 12%|█▏ | 6/50 [00:03<00:24, 1.80it/s] 14%|█▍ | 7/50 [00:03<00:23, 1.81it/s] 16%|█▌ | 8/50 [00:04<00:23, 1.80it/s] 18%|█▊ | 9/50 [00:05<00:22, 1.81it/s] 20%|██ | 10/50 [00:05<00:22, 1.80it/s] 22%|██▏ | 11/50 [00:06<00:21, 1.80it/s] 24%|██▍ | 12/50 [00:06<00:21, 1.80it/s] 26%|██▌ | 13/50 [00:07<00:20, 1.79it/s] 28%|██▊ | 14/50 [00:07<00:20, 1.79it/s] 30%|███ | 15/50 [00:08<00:19, 1.79it/s] 32%|███▏ | 16/50 [00:08<00:19, 1.79it/s] 34%|███▍ | 17/50 [00:09<00:18, 1.78it/s] 36%|███▌ | 18/50 [00:10<00:17, 1.78it/s] 38%|███▊ | 19/50 [00:10<00:17, 1.78it/s] 40%|████ | 20/50 [00:11<00:16, 1.78it/s] 42%|████▏ | 21/50 [00:11<00:16, 1.77it/s] 44%|████▍ | 22/50 [00:12<00:15, 1.77it/s] 46%|████▌ | 23/50 [00:12<00:15, 1.77it/s] 48%|████▊ | 24/50 [00:13<00:14, 1.77it/s] 50%|█████ | 25/50 [00:14<00:14, 1.77it/s] 52%|█████▏ | 26/50 [00:14<00:13, 1.76it/s] 54%|█████▍ | 27/50 [00:15<00:13, 1.76it/s] 56%|█████▌ | 28/50 [00:15<00:12, 1.76it/s] 58%|█████▊ | 29/50 [00:16<00:11, 1.76it/s] 60%|██████ | 30/50 [00:16<00:11, 1.75it/s] 62%|██████▏ | 31/50 [00:17<00:10, 1.75it/s] 64%|██████▍ | 32/50 [00:18<00:10, 1.75it/s] 66%|██████▌ | 33/50 [00:18<00:09, 1.75it/s] 68%|██████▊ | 34/50 [00:19<00:09, 1.75it/s] 70%|███████ | 35/50 [00:19<00:08, 1.74it/s] 72%|███████▏ | 36/50 [00:20<00:08, 1.74it/s] 74%|███████▍ | 37/50 [00:20<00:07, 1.73it/s] 76%|███████▌ | 38/50 [00:21<00:06, 1.72it/s] 78%|███████▊ | 39/50 [00:22<00:06, 1.73it/s] 80%|████████ | 40/50 [00:22<00:05, 1.73it/s] 82%|████████▏ | 41/50 [00:23<00:05, 1.72it/s] 84%|████████▍ | 42/50 [00:23<00:04, 1.72it/s] 86%|████████▌ | 43/50 [00:24<00:04, 1.71it/s] 88%|████████▊ | 44/50 [00:24<00:03, 1.71it/s] 90%|█████████ | 45/50 [00:25<00:02, 1.71it/s] 92%|█████████▏| 46/50 [00:26<00:02, 1.71it/s] 94%|█████████▍| 47/50 [00:26<00:01, 1.71it/s] 96%|█████████▌| 48/50 [00:27<00:01, 1.70it/s] 98%|█████████▊| 49/50 [00:27<00:00, 1.70it/s] 100%|██████████| 50/50 [00:28<00:00, 1.70it/s] 100%|██████████| 50/50 [00:28<00:00, 1.75it/s]
Prediction
benjielysium/delib_realv:c581bb078c9f74e580960262a493d9ea186b2e76e2a71713b4daa4a900ccc9a5IDslrnkomkrrebhpobjgxnc62s24StatusSucceededSourceWebHardwareT4Total durationCreatedInput
- width
- "512"
- height
- "512"
- prompt
- RAW photo of a friendly male android with a robotic helmet with a blue-tinted visor covering face and a human body with a yellow t-shirt cotton and denim pants standing next to a rusty worn-down (((jet car))), background is (((dystopian cyberpunk city))), (high detailed skin:1.2), 8k uhd, dslr, soft lighting, high quality, film grain, Fujifilm XT3
- scheduler
- K_EULER_ANCESTRAL
- num_outputs
- 1
- guidance_scale
- 6.25
- prompt_strength
- 0.8
- num_inference_steps
- 50
{ "width": "512", "height": "512", "prompt": "RAW photo of a friendly male android with a robotic helmet with a blue-tinted visor covering face and a human body with a yellow t-shirt cotton and denim pants standing next to a rusty worn-down (((jet car))), background is (((dystopian cyberpunk city))), (high detailed skin:1.2), 8k uhd, dslr, soft lighting, high quality, film grain, Fujifilm XT3", "scheduler": "K_EULER_ANCESTRAL", "num_outputs": 1, "guidance_scale": 6.25, "prompt_strength": 0.8, "num_inference_steps": 50 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run benjielysium/delib_realv using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "benjielysium/delib_realv:c581bb078c9f74e580960262a493d9ea186b2e76e2a71713b4daa4a900ccc9a5", { input: { width: "512", height: "512", prompt: "RAW photo of a friendly male android with a robotic helmet with a blue-tinted visor covering face and a human body with a yellow t-shirt cotton and denim pants standing next to a rusty worn-down (((jet car))), background is (((dystopian cyberpunk city))), (high detailed skin:1.2), 8k uhd, dslr, soft lighting, high quality, film grain, Fujifilm XT3", scheduler: "K_EULER_ANCESTRAL", num_outputs: 1, guidance_scale: 6.25, prompt_strength: 0.8, num_inference_steps: 50 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);
To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicate
Import the client:import replicate
Run benjielysium/delib_realv using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "benjielysium/delib_realv:c581bb078c9f74e580960262a493d9ea186b2e76e2a71713b4daa4a900ccc9a5", input={ "width": "512", "height": "512", "prompt": "RAW photo of a friendly male android with a robotic helmet with a blue-tinted visor covering face and a human body with a yellow t-shirt cotton and denim pants standing next to a rusty worn-down (((jet car))), background is (((dystopian cyberpunk city))), (high detailed skin:1.2), 8k uhd, dslr, soft lighting, high quality, film grain, Fujifilm XT3", "scheduler": "K_EULER_ANCESTRAL", "num_outputs": 1, "guidance_scale": 6.25, "prompt_strength": 0.8, "num_inference_steps": 50 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run benjielysium/delib_realv 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": "benjielysium/delib_realv:c581bb078c9f74e580960262a493d9ea186b2e76e2a71713b4daa4a900ccc9a5", "input": { "width": "512", "height": "512", "prompt": "RAW photo of a friendly male android with a robotic helmet with a blue-tinted visor covering face and a human body with a yellow t-shirt cotton and denim pants standing next to a rusty worn-down (((jet car))), background is (((dystopian cyberpunk city))), (high detailed skin:1.2), 8k uhd, dslr, soft lighting, high quality, film grain, Fujifilm XT3", "scheduler": "K_EULER_ANCESTRAL", "num_outputs": 1, "guidance_scale": 6.25, "prompt_strength": 0.8, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-05-27T00:18:11.353302Z", "created_at": "2023-05-27T00:17:39.985203Z", "data_removed": false, "error": null, "id": "slrnkomkrrebhpobjgxnc62s24", "input": { "width": "512", "height": "512", "prompt": "RAW photo of a friendly male android with a robotic helmet with a blue-tinted visor covering face and a human body with a yellow t-shirt cotton and denim pants standing next to a rusty worn-down (((jet car))), background is (((dystopian cyberpunk city))), (high detailed skin:1.2), 8k uhd, dslr, soft lighting, high quality, film grain, Fujifilm XT3", "scheduler": "K_EULER_ANCESTRAL", "num_outputs": 1, "guidance_scale": 6.25, "prompt_strength": 0.8, "num_inference_steps": 50 }, "logs": "Using seed: 23151\nThe config attributes {'clip_sample_range': 1.0} were passed to PNDMScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file.\nThe config attributes {'clip_sample_range': 1.0} were passed to LMSDiscreteScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file.\nThe config attributes {'clip_sample_range': 1.0} were passed to DDIMScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file.\nThe config attributes {'clip_sample_range': 1.0} were passed to EulerDiscreteScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file.\nThe config attributes {'clip_sample_range': 1.0} were passed to EulerAncestralDiscreteScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file.\nThe config attributes {'clip_sample_range': 1.0} were passed to DPMSolverMultistepScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file.\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: [', film grain, fujifilm xt 3']\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:28, 1.71it/s]\n 4%|▍ | 2/50 [00:01<00:27, 1.72it/s]\n 6%|▌ | 3/50 [00:01<00:26, 1.74it/s]\n 8%|▊ | 4/50 [00:02<00:26, 1.73it/s]\n 10%|█ | 5/50 [00:02<00:25, 1.74it/s]\n 12%|█▏ | 6/50 [00:03<00:25, 1.73it/s]\n 14%|█▍ | 7/50 [00:04<00:24, 1.72it/s]\n 16%|█▌ | 8/50 [00:04<00:24, 1.72it/s]\n 18%|█▊ | 9/50 [00:05<00:23, 1.71it/s]\n 20%|██ | 10/50 [00:05<00:23, 1.71it/s]\n 22%|██▏ | 11/50 [00:06<00:22, 1.70it/s]\n 24%|██▍ | 12/50 [00:06<00:22, 1.71it/s]\n 26%|██▌ | 13/50 [00:07<00:21, 1.70it/s]\n 28%|██▊ | 14/50 [00:08<00:21, 1.70it/s]\n 30%|███ | 15/50 [00:08<00:20, 1.71it/s]\n 32%|███▏ | 16/50 [00:09<00:20, 1.69it/s]\n 34%|███▍ | 17/50 [00:09<00:19, 1.69it/s]\n 36%|███▌ | 18/50 [00:10<00:18, 1.70it/s]\n 38%|███▊ | 19/50 [00:11<00:18, 1.70it/s]\n 40%|████ | 20/50 [00:11<00:17, 1.70it/s]\n 42%|████▏ | 21/50 [00:12<00:17, 1.70it/s]\n 44%|████▍ | 22/50 [00:12<00:16, 1.70it/s]\n 46%|████▌ | 23/50 [00:13<00:15, 1.70it/s]\n 48%|████▊ | 24/50 [00:14<00:15, 1.70it/s]\n 50%|█████ | 25/50 [00:14<00:14, 1.70it/s]\n 52%|█████▏ | 26/50 [00:15<00:14, 1.69it/s]\n 54%|█████▍ | 27/50 [00:15<00:13, 1.69it/s]\n 56%|█████▌ | 28/50 [00:16<00:13, 1.68it/s]\n 58%|█████▊ | 29/50 [00:17<00:12, 1.68it/s]\n 60%|██████ | 30/50 [00:17<00:11, 1.68it/s]\n 62%|██████▏ | 31/50 [00:18<00:11, 1.68it/s]\n 64%|██████▍ | 32/50 [00:18<00:10, 1.66it/s]\n 66%|██████▌ | 33/50 [00:19<00:10, 1.66it/s]\n 68%|██████▊ | 34/50 [00:20<00:09, 1.65it/s]\n 70%|███████ | 35/50 [00:20<00:09, 1.65it/s]\n 72%|███████▏ | 36/50 [00:21<00:08, 1.65it/s]\n 74%|███████▍ | 37/50 [00:21<00:07, 1.65it/s]\n 76%|███████▌ | 38/50 [00:22<00:07, 1.65it/s]\n 78%|███████▊ | 39/50 [00:23<00:06, 1.65it/s]\n 80%|████████ | 40/50 [00:23<00:06, 1.65it/s]\n 82%|████████▏ | 41/50 [00:24<00:05, 1.65it/s]\n 84%|████████▍ | 42/50 [00:24<00:04, 1.64it/s]\n 86%|████████▌ | 43/50 [00:25<00:04, 1.64it/s]\n 88%|████████▊ | 44/50 [00:26<00:03, 1.64it/s]\n 90%|█████████ | 45/50 [00:26<00:03, 1.63it/s]\n 92%|█████████▏| 46/50 [00:27<00:02, 1.63it/s]\n 94%|█████████▍| 47/50 [00:28<00:01, 1.62it/s]\n 96%|█████████▌| 48/50 [00:28<00:01, 1.62it/s]\n 98%|█████████▊| 49/50 [00:29<00:00, 1.62it/s]\n100%|██████████| 50/50 [00:29<00:00, 1.61it/s]\n100%|██████████| 50/50 [00:29<00:00, 1.67it/s]", "metrics": { "predict_time": 31.400597, "total_time": 31.368099 }, "output": [ "https://replicate.delivery/pbxt/m779uhClXBpTDJGC4r0MHs6JxdItr1Y71US7LasSkcrQe3fQA/out-0.png" ], "started_at": "2023-05-27T00:17:39.952705Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/slrnkomkrrebhpobjgxnc62s24", "cancel": "https://api.replicate.com/v1/predictions/slrnkomkrrebhpobjgxnc62s24/cancel" }, "version": "c581bb078c9f74e580960262a493d9ea186b2e76e2a71713b4daa4a900ccc9a5" }
Generated inUsing seed: 23151 The config attributes {'clip_sample_range': 1.0} were passed to PNDMScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file. The config attributes {'clip_sample_range': 1.0} were passed to LMSDiscreteScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file. The config attributes {'clip_sample_range': 1.0} were passed to DDIMScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file. The config attributes {'clip_sample_range': 1.0} were passed to EulerDiscreteScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file. The config attributes {'clip_sample_range': 1.0} were passed to EulerAncestralDiscreteScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file. The config attributes {'clip_sample_range': 1.0} were passed to DPMSolverMultistepScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file. The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: [', film grain, fujifilm xt 3'] 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:28, 1.71it/s] 4%|▍ | 2/50 [00:01<00:27, 1.72it/s] 6%|▌ | 3/50 [00:01<00:26, 1.74it/s] 8%|▊ | 4/50 [00:02<00:26, 1.73it/s] 10%|█ | 5/50 [00:02<00:25, 1.74it/s] 12%|█▏ | 6/50 [00:03<00:25, 1.73it/s] 14%|█▍ | 7/50 [00:04<00:24, 1.72it/s] 16%|█▌ | 8/50 [00:04<00:24, 1.72it/s] 18%|█▊ | 9/50 [00:05<00:23, 1.71it/s] 20%|██ | 10/50 [00:05<00:23, 1.71it/s] 22%|██▏ | 11/50 [00:06<00:22, 1.70it/s] 24%|██▍ | 12/50 [00:06<00:22, 1.71it/s] 26%|██▌ | 13/50 [00:07<00:21, 1.70it/s] 28%|██▊ | 14/50 [00:08<00:21, 1.70it/s] 30%|███ | 15/50 [00:08<00:20, 1.71it/s] 32%|███▏ | 16/50 [00:09<00:20, 1.69it/s] 34%|███▍ | 17/50 [00:09<00:19, 1.69it/s] 36%|███▌ | 18/50 [00:10<00:18, 1.70it/s] 38%|███▊ | 19/50 [00:11<00:18, 1.70it/s] 40%|████ | 20/50 [00:11<00:17, 1.70it/s] 42%|████▏ | 21/50 [00:12<00:17, 1.70it/s] 44%|████▍ | 22/50 [00:12<00:16, 1.70it/s] 46%|████▌ | 23/50 [00:13<00:15, 1.70it/s] 48%|████▊ | 24/50 [00:14<00:15, 1.70it/s] 50%|█████ | 25/50 [00:14<00:14, 1.70it/s] 52%|█████▏ | 26/50 [00:15<00:14, 1.69it/s] 54%|█████▍ | 27/50 [00:15<00:13, 1.69it/s] 56%|█████▌ | 28/50 [00:16<00:13, 1.68it/s] 58%|█████▊ | 29/50 [00:17<00:12, 1.68it/s] 60%|██████ | 30/50 [00:17<00:11, 1.68it/s] 62%|██████▏ | 31/50 [00:18<00:11, 1.68it/s] 64%|██████▍ | 32/50 [00:18<00:10, 1.66it/s] 66%|██████▌ | 33/50 [00:19<00:10, 1.66it/s] 68%|██████▊ | 34/50 [00:20<00:09, 1.65it/s] 70%|███████ | 35/50 [00:20<00:09, 1.65it/s] 72%|███████▏ | 36/50 [00:21<00:08, 1.65it/s] 74%|███████▍ | 37/50 [00:21<00:07, 1.65it/s] 76%|███████▌ | 38/50 [00:22<00:07, 1.65it/s] 78%|███████▊ | 39/50 [00:23<00:06, 1.65it/s] 80%|████████ | 40/50 [00:23<00:06, 1.65it/s] 82%|████████▏ | 41/50 [00:24<00:05, 1.65it/s] 84%|████████▍ | 42/50 [00:24<00:04, 1.64it/s] 86%|████████▌ | 43/50 [00:25<00:04, 1.64it/s] 88%|████████▊ | 44/50 [00:26<00:03, 1.64it/s] 90%|█████████ | 45/50 [00:26<00:03, 1.63it/s] 92%|█████████▏| 46/50 [00:27<00:02, 1.63it/s] 94%|█████████▍| 47/50 [00:28<00:01, 1.62it/s] 96%|█████████▌| 48/50 [00:28<00:01, 1.62it/s] 98%|█████████▊| 49/50 [00:29<00:00, 1.62it/s] 100%|██████████| 50/50 [00:29<00:00, 1.61it/s] 100%|██████████| 50/50 [00:29<00:00, 1.67it/s]
Prediction
benjielysium/delib_realv:c581bb078c9f74e580960262a493d9ea186b2e76e2a71713b4daa4a900ccc9a5IDwktc4n6y5vagxhc4ti2mgoug7mStatusSucceededSourceWebHardwareT4Total durationCreatedInput
- width
- 512
- height
- 512
- prompt
- RAW photo, a close-up portrait shot of a middle-aged nomad woman looking at the viewer, embroidered wool and leather jacket embedded with advanced devices, jewels, gleaming technology, (high detailed skin:1.2), background is a ((dystopian)) futuristic city textured surfaces, Fujifilm XT3, film grain, ((intricate details, hyperdetailed)), earth tones, muted colors, 8k resolution, (((An extremely complex and advanced technology))), (((hdr)))
- scheduler
- DDIM
- num_outputs
- 1
- guidance_scale
- 6
- negative_prompt
- disfigured, kitsch, ugly, oversaturated, low-res, Deformed, blurry, bad anatomy, disfigured, poorly drawn face, mutation, mutated, extra limb, ugly, poorly drawn hands, missing limb, blurry, floating limbs, disconnected limbs, malformed hands, blur, out of focus, long neck, long body, ugly, disgusting, poorly drawn, childish, mutilated, mangled, old, surreal, calligraphy, sign, writing, watermark, text, body out of frame, extra legs, extra arms, extra feet, out of frame, poorly drawn feet, cross-eye, blurry, bad anatomy
- prompt_strength
- 1
- num_inference_steps
- 50
{ "width": 512, "height": 512, "prompt": "RAW photo, a close-up portrait shot of a middle-aged nomad woman looking at the viewer, embroidered wool and leather jacket embedded with advanced devices, jewels, gleaming technology, (high detailed skin:1.2), background is a ((dystopian)) futuristic city textured surfaces, Fujifilm XT3, film grain, ((intricate details, hyperdetailed)), earth tones, muted colors, 8k resolution, (((An extremely complex and advanced technology))), (((hdr)))", "scheduler": "DDIM", "num_outputs": 1, "guidance_scale": 6, "negative_prompt": "disfigured, kitsch, ugly, oversaturated, low-res, Deformed, blurry, bad anatomy, disfigured, poorly drawn face, mutation, mutated, extra limb, ugly, poorly drawn hands, missing limb, blurry, floating limbs, disconnected limbs, malformed hands, blur, out of focus, long neck, long body, ugly, disgusting, poorly drawn, childish, mutilated, mangled, old, surreal, calligraphy, sign, writing, watermark, text, body out of frame, extra legs, extra arms, extra feet, out of frame, poorly drawn feet, cross-eye, blurry, bad anatomy", "prompt_strength": 1, "num_inference_steps": 50 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run benjielysium/delib_realv using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "benjielysium/delib_realv:c581bb078c9f74e580960262a493d9ea186b2e76e2a71713b4daa4a900ccc9a5", { input: { width: 512, height: 512, prompt: "RAW photo, a close-up portrait shot of a middle-aged nomad woman looking at the viewer, embroidered wool and leather jacket embedded with advanced devices, jewels, gleaming technology, (high detailed skin:1.2), background is a ((dystopian)) futuristic city textured surfaces, Fujifilm XT3, film grain, ((intricate details, hyperdetailed)), earth tones, muted colors, 8k resolution, (((An extremely complex and advanced technology))), (((hdr)))", scheduler: "DDIM", num_outputs: 1, guidance_scale: 6, negative_prompt: "disfigured, kitsch, ugly, oversaturated, low-res, Deformed, blurry, bad anatomy, disfigured, poorly drawn face, mutation, mutated, extra limb, ugly, poorly drawn hands, missing limb, blurry, floating limbs, disconnected limbs, malformed hands, blur, out of focus, long neck, long body, ugly, disgusting, poorly drawn, childish, mutilated, mangled, old, surreal, calligraphy, sign, writing, watermark, text, body out of frame, extra legs, extra arms, extra feet, out of frame, poorly drawn feet, cross-eye, blurry, bad anatomy", prompt_strength: 1, num_inference_steps: 50 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);
To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicate
Import the client:import replicate
Run benjielysium/delib_realv using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "benjielysium/delib_realv:c581bb078c9f74e580960262a493d9ea186b2e76e2a71713b4daa4a900ccc9a5", input={ "width": 512, "height": 512, "prompt": "RAW photo, a close-up portrait shot of a middle-aged nomad woman looking at the viewer, embroidered wool and leather jacket embedded with advanced devices, jewels, gleaming technology, (high detailed skin:1.2), background is a ((dystopian)) futuristic city textured surfaces, Fujifilm XT3, film grain, ((intricate details, hyperdetailed)), earth tones, muted colors, 8k resolution, (((An extremely complex and advanced technology))), (((hdr)))", "scheduler": "DDIM", "num_outputs": 1, "guidance_scale": 6, "negative_prompt": "disfigured, kitsch, ugly, oversaturated, low-res, Deformed, blurry, bad anatomy, disfigured, poorly drawn face, mutation, mutated, extra limb, ugly, poorly drawn hands, missing limb, blurry, floating limbs, disconnected limbs, malformed hands, blur, out of focus, long neck, long body, ugly, disgusting, poorly drawn, childish, mutilated, mangled, old, surreal, calligraphy, sign, writing, watermark, text, body out of frame, extra legs, extra arms, extra feet, out of frame, poorly drawn feet, cross-eye, blurry, bad anatomy", "prompt_strength": 1, "num_inference_steps": 50 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run benjielysium/delib_realv 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": "benjielysium/delib_realv:c581bb078c9f74e580960262a493d9ea186b2e76e2a71713b4daa4a900ccc9a5", "input": { "width": 512, "height": 512, "prompt": "RAW photo, a close-up portrait shot of a middle-aged nomad woman looking at the viewer, embroidered wool and leather jacket embedded with advanced devices, jewels, gleaming technology, (high detailed skin:1.2), background is a ((dystopian)) futuristic city textured surfaces, Fujifilm XT3, film grain, ((intricate details, hyperdetailed)), earth tones, muted colors, 8k resolution, (((An extremely complex and advanced technology))), (((hdr)))", "scheduler": "DDIM", "num_outputs": 1, "guidance_scale": 6, "negative_prompt": "disfigured, kitsch, ugly, oversaturated, low-res, Deformed, blurry, bad anatomy, disfigured, poorly drawn face, mutation, mutated, extra limb, ugly, poorly drawn hands, missing limb, blurry, floating limbs, disconnected limbs, malformed hands, blur, out of focus, long neck, long body, ugly, disgusting, poorly drawn, childish, mutilated, mangled, old, surreal, calligraphy, sign, writing, watermark, text, body out of frame, extra legs, extra arms, extra feet, out of frame, poorly drawn feet, cross-eye, blurry, bad anatomy", "prompt_strength": 1, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-05-28T17:27:25.641335Z", "created_at": "2023-05-28T17:26:52.366490Z", "data_removed": false, "error": null, "id": "wktc4n6y5vagxhc4ti2mgoug7m", "input": { "width": 512, "height": 512, "prompt": "RAW photo, a close-up portrait shot of a middle-aged nomad woman looking at the viewer, embroidered wool and leather jacket embedded with advanced devices, jewels, gleaming technology, (high detailed skin:1.2), background is a ((dystopian)) futuristic city textured surfaces, Fujifilm XT3, film grain, ((intricate details, hyperdetailed)), earth tones, muted colors, 8k resolution, (((An extremely complex and advanced technology))), (((hdr)))", "scheduler": "DDIM", "num_outputs": 1, "guidance_scale": 6, "negative_prompt": "disfigured, kitsch, ugly, oversaturated, low-res, Deformed, blurry, bad anatomy, disfigured, poorly drawn face, mutation, mutated, extra limb, ugly, poorly drawn hands, missing limb, blurry, floating limbs, disconnected limbs, malformed hands, blur, out of focus, long neck, long body, ugly, disgusting, poorly drawn, childish, mutilated, mangled, old, surreal, calligraphy, sign, writing, watermark, text, body out of frame, extra legs, extra arms, extra feet, out of frame, poorly drawn feet, cross-eye, blurry, bad anatomy", "prompt_strength": 1, "num_inference_steps": 50 }, "logs": "Using seed: 7849\nThe config attributes {'clip_sample_range': 1.0} were passed to PNDMScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file.\nThe config attributes {'clip_sample_range': 1.0} were passed to LMSDiscreteScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file.\nThe config attributes {'clip_sample_range': 1.0} were passed to DDIMScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file.\nThe config attributes {'clip_sample_range': 1.0} were passed to EulerDiscreteScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file.\nThe config attributes {'clip_sample_range': 1.0} were passed to EulerAncestralDiscreteScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file.\nThe config attributes {'clip_sample_range': 1.0} were passed to DPMSolverMultistepScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file.\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['muted colors, 8 k resolution, ((( an extremely complex and advanced technology ))), ((( hdr )))']\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:31, 1.58it/s]\n 4%|▍ | 2/50 [00:01<00:29, 1.61it/s]\n 6%|▌ | 3/50 [00:01<00:28, 1.66it/s]\n 8%|▊ | 4/50 [00:02<00:27, 1.65it/s]\n 10%|█ | 5/50 [00:03<00:27, 1.67it/s]\n 12%|█▏ | 6/50 [00:03<00:26, 1.65it/s]\n 14%|█▍ | 7/50 [00:04<00:26, 1.64it/s]\n 16%|█▌ | 8/50 [00:04<00:25, 1.65it/s]\n 18%|█▊ | 9/50 [00:05<00:25, 1.64it/s]\n 20%|██ | 10/50 [00:06<00:24, 1.64it/s]\n 22%|██▏ | 11/50 [00:06<00:23, 1.64it/s]\n 24%|██▍ | 12/50 [00:07<00:23, 1.63it/s]\n 26%|██▌ | 13/50 [00:07<00:22, 1.63it/s]\n 28%|██▊ | 14/50 [00:08<00:22, 1.62it/s]\n 30%|███ | 15/50 [00:09<00:21, 1.61it/s]\n 32%|███▏ | 16/50 [00:09<00:21, 1.60it/s]\n 34%|███▍ | 17/50 [00:10<00:20, 1.59it/s]\n 36%|███▌ | 18/50 [00:11<00:20, 1.59it/s]\n 38%|███▊ | 19/50 [00:11<00:19, 1.59it/s]\n 40%|████ | 20/50 [00:12<00:18, 1.59it/s]\n 42%|████▏ | 21/50 [00:12<00:18, 1.58it/s]\n 44%|████▍ | 22/50 [00:13<00:17, 1.58it/s]\n 46%|████▌ | 23/50 [00:14<00:17, 1.57it/s]\n 48%|████▊ | 24/50 [00:14<00:16, 1.57it/s]\n 50%|█████ | 25/50 [00:15<00:16, 1.56it/s]\n 52%|█████▏ | 26/50 [00:16<00:15, 1.55it/s]\n 54%|█████▍ | 27/50 [00:16<00:14, 1.55it/s]\n 56%|█████▌ | 28/50 [00:17<00:14, 1.55it/s]\n 58%|█████▊ | 29/50 [00:18<00:13, 1.54it/s]\n 60%|██████ | 30/50 [00:18<00:12, 1.54it/s]\n 62%|██████▏ | 31/50 [00:19<00:12, 1.54it/s]\n 64%|██████▍ | 32/50 [00:20<00:11, 1.53it/s]\n 66%|██████▌ | 33/50 [00:20<00:11, 1.53it/s]\n 68%|██████▊ | 34/50 [00:21<00:10, 1.53it/s]\n 70%|███████ | 35/50 [00:22<00:09, 1.53it/s]\n 72%|███████▏ | 36/50 [00:22<00:09, 1.53it/s]\n 74%|███████▍ | 37/50 [00:23<00:08, 1.52it/s]\n 76%|███████▌ | 38/50 [00:24<00:07, 1.52it/s]\n 78%|███████▊ | 39/50 [00:24<00:07, 1.52it/s]\n 80%|████████ | 40/50 [00:25<00:06, 1.52it/s]\n 82%|████████▏ | 41/50 [00:26<00:05, 1.53it/s]\n 84%|████████▍ | 42/50 [00:26<00:05, 1.53it/s]\n 86%|████████▌ | 43/50 [00:27<00:04, 1.53it/s]\n 88%|████████▊ | 44/50 [00:27<00:03, 1.53it/s]\n 90%|█████████ | 45/50 [00:28<00:03, 1.53it/s]\n 92%|█████████▏| 46/50 [00:29<00:02, 1.53it/s]\n 94%|█████████▍| 47/50 [00:29<00:01, 1.54it/s]\n 96%|█████████▌| 48/50 [00:30<00:01, 1.54it/s]\n 98%|█████████▊| 49/50 [00:31<00:00, 1.55it/s]\n100%|██████████| 50/50 [00:31<00:00, 1.55it/s]\n100%|██████████| 50/50 [00:31<00:00, 1.57it/s]", "metrics": { "predict_time": 33.327122, "total_time": 33.274845 }, "output": [ "https://replicate.delivery/pbxt/i5jqxckbnNaAN5gWiwrY5QlHGE0QMV0MMuzeht80RWJeDUARA/out-0.png" ], "started_at": "2023-05-28T17:26:52.314213Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/wktc4n6y5vagxhc4ti2mgoug7m", "cancel": "https://api.replicate.com/v1/predictions/wktc4n6y5vagxhc4ti2mgoug7m/cancel" }, "version": "c581bb078c9f74e580960262a493d9ea186b2e76e2a71713b4daa4a900ccc9a5" }
Generated inUsing seed: 7849 The config attributes {'clip_sample_range': 1.0} were passed to PNDMScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file. The config attributes {'clip_sample_range': 1.0} were passed to LMSDiscreteScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file. The config attributes {'clip_sample_range': 1.0} were passed to DDIMScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file. The config attributes {'clip_sample_range': 1.0} were passed to EulerDiscreteScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file. The config attributes {'clip_sample_range': 1.0} were passed to EulerAncestralDiscreteScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file. The config attributes {'clip_sample_range': 1.0} were passed to DPMSolverMultistepScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file. The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['muted colors, 8 k resolution, ((( an extremely complex and advanced technology ))), ((( hdr )))'] 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:31, 1.58it/s] 4%|▍ | 2/50 [00:01<00:29, 1.61it/s] 6%|▌ | 3/50 [00:01<00:28, 1.66it/s] 8%|▊ | 4/50 [00:02<00:27, 1.65it/s] 10%|█ | 5/50 [00:03<00:27, 1.67it/s] 12%|█▏ | 6/50 [00:03<00:26, 1.65it/s] 14%|█▍ | 7/50 [00:04<00:26, 1.64it/s] 16%|█▌ | 8/50 [00:04<00:25, 1.65it/s] 18%|█▊ | 9/50 [00:05<00:25, 1.64it/s] 20%|██ | 10/50 [00:06<00:24, 1.64it/s] 22%|██▏ | 11/50 [00:06<00:23, 1.64it/s] 24%|██▍ | 12/50 [00:07<00:23, 1.63it/s] 26%|██▌ | 13/50 [00:07<00:22, 1.63it/s] 28%|██▊ | 14/50 [00:08<00:22, 1.62it/s] 30%|███ | 15/50 [00:09<00:21, 1.61it/s] 32%|███▏ | 16/50 [00:09<00:21, 1.60it/s] 34%|███▍ | 17/50 [00:10<00:20, 1.59it/s] 36%|███▌ | 18/50 [00:11<00:20, 1.59it/s] 38%|███▊ | 19/50 [00:11<00:19, 1.59it/s] 40%|████ | 20/50 [00:12<00:18, 1.59it/s] 42%|████▏ | 21/50 [00:12<00:18, 1.58it/s] 44%|████▍ | 22/50 [00:13<00:17, 1.58it/s] 46%|████▌ | 23/50 [00:14<00:17, 1.57it/s] 48%|████▊ | 24/50 [00:14<00:16, 1.57it/s] 50%|█████ | 25/50 [00:15<00:16, 1.56it/s] 52%|█████▏ | 26/50 [00:16<00:15, 1.55it/s] 54%|█████▍ | 27/50 [00:16<00:14, 1.55it/s] 56%|█████▌ | 28/50 [00:17<00:14, 1.55it/s] 58%|█████▊ | 29/50 [00:18<00:13, 1.54it/s] 60%|██████ | 30/50 [00:18<00:12, 1.54it/s] 62%|██████▏ | 31/50 [00:19<00:12, 1.54it/s] 64%|██████▍ | 32/50 [00:20<00:11, 1.53it/s] 66%|██████▌ | 33/50 [00:20<00:11, 1.53it/s] 68%|██████▊ | 34/50 [00:21<00:10, 1.53it/s] 70%|███████ | 35/50 [00:22<00:09, 1.53it/s] 72%|███████▏ | 36/50 [00:22<00:09, 1.53it/s] 74%|███████▍ | 37/50 [00:23<00:08, 1.52it/s] 76%|███████▌ | 38/50 [00:24<00:07, 1.52it/s] 78%|███████▊ | 39/50 [00:24<00:07, 1.52it/s] 80%|████████ | 40/50 [00:25<00:06, 1.52it/s] 82%|████████▏ | 41/50 [00:26<00:05, 1.53it/s] 84%|████████▍ | 42/50 [00:26<00:05, 1.53it/s] 86%|████████▌ | 43/50 [00:27<00:04, 1.53it/s] 88%|████████▊ | 44/50 [00:27<00:03, 1.53it/s] 90%|█████████ | 45/50 [00:28<00:03, 1.53it/s] 92%|█████████▏| 46/50 [00:29<00:02, 1.53it/s] 94%|█████████▍| 47/50 [00:29<00:01, 1.54it/s] 96%|█████████▌| 48/50 [00:30<00:01, 1.54it/s] 98%|█████████▊| 49/50 [00:31<00:00, 1.55it/s] 100%|██████████| 50/50 [00:31<00:00, 1.55it/s] 100%|██████████| 50/50 [00:31<00:00, 1.57it/s]
Prediction
benjielysium/delib_realv:c581bb078c9f74e580960262a493d9ea186b2e76e2a71713b4daa4a900ccc9a5ID555rvoygvrb5flh34a74jjwczqStatusSucceededSourceWebHardwareT4Total durationCreatedInput
- width
- 512
- height
- 512
- prompt
- RAW photo, a close-up portrait shot of an older nomad woman looking at the viewer, embroidered wool and leather jacket embedded with advanced devices, jewels, gleaming technology, (high detailed skin:1.4), background is a ((dystopian)) futuristic city textured surfaces, Fujifilm XT3, film grain, ((intricate details, hyperdetailed)), earth tones, muted colors, 8k resolution, (((An extremely complex and advanced technology))), (((hdr)))
- scheduler
- DDIM
- num_outputs
- 1
- guidance_scale
- 6
- negative_prompt
- disfigured, kitsch, ugly, oversaturated, low-res, Deformed, blurry, bad anatomy, disfigured, poorly drawn face, mutation, mutated, extra limb, ugly, poorly drawn hands, missing limb, blurry, floating limbs, disconnected limbs, malformed hands, blur, out of focus, long neck, long body, ugly, disgusting, poorly drawn, childish, mutilated, mangled, old, surreal, calligraphy, sign, writing, watermark, text, body out of frame, extra legs, extra arms, extra feet, out of frame, poorly drawn feet, cross-eye, blurry, bad anatomy
- prompt_strength
- 1
- num_inference_steps
- 50
{ "width": 512, "height": 512, "prompt": "RAW photo, a close-up portrait shot of an older nomad woman looking at the viewer, embroidered wool and leather jacket embedded with advanced devices, jewels, gleaming technology, (high detailed skin:1.4), background is a ((dystopian)) futuristic city textured surfaces, Fujifilm XT3, film grain, ((intricate details, hyperdetailed)), earth tones, muted colors, 8k resolution, (((An extremely complex and advanced technology))), (((hdr)))", "scheduler": "DDIM", "num_outputs": 1, "guidance_scale": 6, "negative_prompt": "disfigured, kitsch, ugly, oversaturated, low-res, Deformed, blurry, bad anatomy, disfigured, poorly drawn face, mutation, mutated, extra limb, ugly, poorly drawn hands, missing limb, blurry, floating limbs, disconnected limbs, malformed hands, blur, out of focus, long neck, long body, ugly, disgusting, poorly drawn, childish, mutilated, mangled, old, surreal, calligraphy, sign, writing, watermark, text, body out of frame, extra legs, extra arms, extra feet, out of frame, poorly drawn feet, cross-eye, blurry, bad anatomy", "prompt_strength": 1, "num_inference_steps": 50 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run benjielysium/delib_realv using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "benjielysium/delib_realv:c581bb078c9f74e580960262a493d9ea186b2e76e2a71713b4daa4a900ccc9a5", { input: { width: 512, height: 512, prompt: "RAW photo, a close-up portrait shot of an older nomad woman looking at the viewer, embroidered wool and leather jacket embedded with advanced devices, jewels, gleaming technology, (high detailed skin:1.4), background is a ((dystopian)) futuristic city textured surfaces, Fujifilm XT3, film grain, ((intricate details, hyperdetailed)), earth tones, muted colors, 8k resolution, (((An extremely complex and advanced technology))), (((hdr)))", scheduler: "DDIM", num_outputs: 1, guidance_scale: 6, negative_prompt: "disfigured, kitsch, ugly, oversaturated, low-res, Deformed, blurry, bad anatomy, disfigured, poorly drawn face, mutation, mutated, extra limb, ugly, poorly drawn hands, missing limb, blurry, floating limbs, disconnected limbs, malformed hands, blur, out of focus, long neck, long body, ugly, disgusting, poorly drawn, childish, mutilated, mangled, old, surreal, calligraphy, sign, writing, watermark, text, body out of frame, extra legs, extra arms, extra feet, out of frame, poorly drawn feet, cross-eye, blurry, bad anatomy", prompt_strength: 1, num_inference_steps: 50 } } ); // To access the file URL: console.log(output[0].url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output[0]);
To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicate
Import the client:import replicate
Run benjielysium/delib_realv using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "benjielysium/delib_realv:c581bb078c9f74e580960262a493d9ea186b2e76e2a71713b4daa4a900ccc9a5", input={ "width": 512, "height": 512, "prompt": "RAW photo, a close-up portrait shot of an older nomad woman looking at the viewer, embroidered wool and leather jacket embedded with advanced devices, jewels, gleaming technology, (high detailed skin:1.4), background is a ((dystopian)) futuristic city textured surfaces, Fujifilm XT3, film grain, ((intricate details, hyperdetailed)), earth tones, muted colors, 8k resolution, (((An extremely complex and advanced technology))), (((hdr)))", "scheduler": "DDIM", "num_outputs": 1, "guidance_scale": 6, "negative_prompt": "disfigured, kitsch, ugly, oversaturated, low-res, Deformed, blurry, bad anatomy, disfigured, poorly drawn face, mutation, mutated, extra limb, ugly, poorly drawn hands, missing limb, blurry, floating limbs, disconnected limbs, malformed hands, blur, out of focus, long neck, long body, ugly, disgusting, poorly drawn, childish, mutilated, mangled, old, surreal, calligraphy, sign, writing, watermark, text, body out of frame, extra legs, extra arms, extra feet, out of frame, poorly drawn feet, cross-eye, blurry, bad anatomy", "prompt_strength": 1, "num_inference_steps": 50 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run benjielysium/delib_realv 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": "benjielysium/delib_realv:c581bb078c9f74e580960262a493d9ea186b2e76e2a71713b4daa4a900ccc9a5", "input": { "width": 512, "height": 512, "prompt": "RAW photo, a close-up portrait shot of an older nomad woman looking at the viewer, embroidered wool and leather jacket embedded with advanced devices, jewels, gleaming technology, (high detailed skin:1.4), background is a ((dystopian)) futuristic city textured surfaces, Fujifilm XT3, film grain, ((intricate details, hyperdetailed)), earth tones, muted colors, 8k resolution, (((An extremely complex and advanced technology))), (((hdr)))", "scheduler": "DDIM", "num_outputs": 1, "guidance_scale": 6, "negative_prompt": "disfigured, kitsch, ugly, oversaturated, low-res, Deformed, blurry, bad anatomy, disfigured, poorly drawn face, mutation, mutated, extra limb, ugly, poorly drawn hands, missing limb, blurry, floating limbs, disconnected limbs, malformed hands, blur, out of focus, long neck, long body, ugly, disgusting, poorly drawn, childish, mutilated, mangled, old, surreal, calligraphy, sign, writing, watermark, text, body out of frame, extra legs, extra arms, extra feet, out of frame, poorly drawn feet, cross-eye, blurry, bad anatomy", "prompt_strength": 1, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-05-28T17:34:22.495606Z", "created_at": "2023-05-28T17:33:48.389863Z", "data_removed": false, "error": null, "id": "555rvoygvrb5flh34a74jjwczq", "input": { "width": 512, "height": 512, "prompt": "RAW photo, a close-up portrait shot of an older nomad woman looking at the viewer, embroidered wool and leather jacket embedded with advanced devices, jewels, gleaming technology, (high detailed skin:1.4), background is a ((dystopian)) futuristic city textured surfaces, Fujifilm XT3, film grain, ((intricate details, hyperdetailed)), earth tones, muted colors, 8k resolution, (((An extremely complex and advanced technology))), (((hdr)))", "scheduler": "DDIM", "num_outputs": 1, "guidance_scale": 6, "negative_prompt": "disfigured, kitsch, ugly, oversaturated, low-res, Deformed, blurry, bad anatomy, disfigured, poorly drawn face, mutation, mutated, extra limb, ugly, poorly drawn hands, missing limb, blurry, floating limbs, disconnected limbs, malformed hands, blur, out of focus, long neck, long body, ugly, disgusting, poorly drawn, childish, mutilated, mangled, old, surreal, calligraphy, sign, writing, watermark, text, body out of frame, extra legs, extra arms, extra feet, out of frame, poorly drawn feet, cross-eye, blurry, bad anatomy", "prompt_strength": 1, "num_inference_steps": 50 }, "logs": "Using seed: 28279\nThe config attributes {'clip_sample_range': 1.0} were passed to PNDMScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file.\nThe config attributes {'clip_sample_range': 1.0} were passed to LMSDiscreteScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file.\nThe config attributes {'clip_sample_range': 1.0} were passed to DDIMScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file.\nThe config attributes {'clip_sample_range': 1.0} were passed to EulerDiscreteScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file.\nThe config attributes {'clip_sample_range': 1.0} were passed to EulerAncestralDiscreteScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file.\nThe config attributes {'clip_sample_range': 1.0} were passed to DPMSolverMultistepScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file.\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: [', 8 k resolution, ((( an extremely complex and advanced technology ))), ((( hdr )))']\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:31, 1.55it/s]\n 4%|▍ | 2/50 [00:01<00:30, 1.55it/s]\n 6%|▌ | 3/50 [00:01<00:29, 1.59it/s]\n 8%|▊ | 4/50 [00:02<00:29, 1.57it/s]\n 10%|█ | 5/50 [00:03<00:28, 1.58it/s]\n 12%|█▏ | 6/50 [00:03<00:27, 1.58it/s]\n 14%|█▍ | 7/50 [00:04<00:27, 1.57it/s]\n 16%|█▌ | 8/50 [00:05<00:26, 1.57it/s]\n 18%|█▊ | 9/50 [00:05<00:26, 1.56it/s]\n 20%|██ | 10/50 [00:06<00:25, 1.55it/s]\n 22%|██▏ | 11/50 [00:07<00:25, 1.55it/s]\n 24%|██▍ | 12/50 [00:07<00:24, 1.54it/s]\n 26%|██▌ | 13/50 [00:08<00:24, 1.54it/s]\n 28%|██▊ | 14/50 [00:09<00:23, 1.54it/s]\n 30%|███ | 15/50 [00:09<00:22, 1.53it/s]\n 32%|███▏ | 16/50 [00:10<00:22, 1.52it/s]\n 34%|███▍ | 17/50 [00:10<00:21, 1.52it/s]\n 36%|███▌ | 18/50 [00:11<00:21, 1.52it/s]\n 38%|███▊ | 19/50 [00:12<00:20, 1.51it/s]\n 40%|████ | 20/50 [00:12<00:19, 1.51it/s]\n 42%|████▏ | 21/50 [00:13<00:19, 1.51it/s]\n 44%|████▍ | 22/50 [00:14<00:18, 1.50it/s]\n 46%|████▌ | 23/50 [00:14<00:17, 1.50it/s]\n 48%|████▊ | 24/50 [00:15<00:17, 1.50it/s]\n 50%|█████ | 25/50 [00:16<00:16, 1.50it/s]\n 52%|█████▏ | 26/50 [00:16<00:15, 1.50it/s]\n 54%|█████▍ | 27/50 [00:17<00:15, 1.50it/s]\n 56%|█████▌ | 28/50 [00:18<00:14, 1.51it/s]\n 58%|█████▊ | 29/50 [00:18<00:13, 1.51it/s]\n 60%|██████ | 30/50 [00:19<00:13, 1.51it/s]\n 62%|██████▏ | 31/50 [00:20<00:12, 1.52it/s]\n 64%|██████▍ | 32/50 [00:20<00:11, 1.52it/s]\n 66%|██████▌ | 33/50 [00:21<00:11, 1.52it/s]\n 68%|██████▊ | 34/50 [00:22<00:10, 1.53it/s]\n 70%|███████ | 35/50 [00:22<00:09, 1.53it/s]\n 72%|███████▏ | 36/50 [00:23<00:09, 1.54it/s]\n 74%|███████▍ | 37/50 [00:24<00:08, 1.54it/s]\n 76%|███████▌ | 38/50 [00:24<00:07, 1.55it/s]\n 78%|███████▊ | 39/50 [00:25<00:07, 1.55it/s]\n 80%|████████ | 40/50 [00:26<00:06, 1.56it/s]\n 82%|████████▏ | 41/50 [00:26<00:05, 1.57it/s]\n 84%|████████▍ | 42/50 [00:27<00:05, 1.57it/s]\n 86%|████████▌ | 43/50 [00:27<00:04, 1.57it/s]\n 88%|████████▊ | 44/50 [00:28<00:03, 1.58it/s]\n 90%|█████████ | 45/50 [00:29<00:03, 1.58it/s]\n 92%|█████████▏| 46/50 [00:29<00:02, 1.58it/s]\n 94%|█████████▍| 47/50 [00:30<00:01, 1.59it/s]\n 96%|█████████▌| 48/50 [00:31<00:01, 1.59it/s]\n 98%|█████████▊| 49/50 [00:31<00:00, 1.59it/s]\n100%|██████████| 50/50 [00:32<00:00, 1.60it/s]\n100%|██████████| 50/50 [00:32<00:00, 1.54it/s]", "metrics": { "predict_time": 33.894605, "total_time": 34.105743 }, "output": [ "https://replicate.delivery/pbxt/nt5PzGmk607iEdJPoCeC9T02EWkjq4fNG56WYxvTkHqdKUARA/out-0.png" ], "started_at": "2023-05-28T17:33:48.601001Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/555rvoygvrb5flh34a74jjwczq", "cancel": "https://api.replicate.com/v1/predictions/555rvoygvrb5flh34a74jjwczq/cancel" }, "version": "c581bb078c9f74e580960262a493d9ea186b2e76e2a71713b4daa4a900ccc9a5" }
Generated inUsing seed: 28279 The config attributes {'clip_sample_range': 1.0} were passed to PNDMScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file. The config attributes {'clip_sample_range': 1.0} were passed to LMSDiscreteScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file. The config attributes {'clip_sample_range': 1.0} were passed to DDIMScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file. The config attributes {'clip_sample_range': 1.0} were passed to EulerDiscreteScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file. The config attributes {'clip_sample_range': 1.0} were passed to EulerAncestralDiscreteScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file. The config attributes {'clip_sample_range': 1.0} were passed to DPMSolverMultistepScheduler, but are not expected and will be ignored. Please verify your scheduler_config.json configuration file. The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: [', 8 k resolution, ((( an extremely complex and advanced technology ))), ((( hdr )))'] 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:31, 1.55it/s] 4%|▍ | 2/50 [00:01<00:30, 1.55it/s] 6%|▌ | 3/50 [00:01<00:29, 1.59it/s] 8%|▊ | 4/50 [00:02<00:29, 1.57it/s] 10%|█ | 5/50 [00:03<00:28, 1.58it/s] 12%|█▏ | 6/50 [00:03<00:27, 1.58it/s] 14%|█▍ | 7/50 [00:04<00:27, 1.57it/s] 16%|█▌ | 8/50 [00:05<00:26, 1.57it/s] 18%|█▊ | 9/50 [00:05<00:26, 1.56it/s] 20%|██ | 10/50 [00:06<00:25, 1.55it/s] 22%|██▏ | 11/50 [00:07<00:25, 1.55it/s] 24%|██▍ | 12/50 [00:07<00:24, 1.54it/s] 26%|██▌ | 13/50 [00:08<00:24, 1.54it/s] 28%|██▊ | 14/50 [00:09<00:23, 1.54it/s] 30%|███ | 15/50 [00:09<00:22, 1.53it/s] 32%|███▏ | 16/50 [00:10<00:22, 1.52it/s] 34%|███▍ | 17/50 [00:10<00:21, 1.52it/s] 36%|███▌ | 18/50 [00:11<00:21, 1.52it/s] 38%|███▊ | 19/50 [00:12<00:20, 1.51it/s] 40%|████ | 20/50 [00:12<00:19, 1.51it/s] 42%|████▏ | 21/50 [00:13<00:19, 1.51it/s] 44%|████▍ | 22/50 [00:14<00:18, 1.50it/s] 46%|████▌ | 23/50 [00:14<00:17, 1.50it/s] 48%|████▊ | 24/50 [00:15<00:17, 1.50it/s] 50%|█████ | 25/50 [00:16<00:16, 1.50it/s] 52%|█████▏ | 26/50 [00:16<00:15, 1.50it/s] 54%|█████▍ | 27/50 [00:17<00:15, 1.50it/s] 56%|█████▌ | 28/50 [00:18<00:14, 1.51it/s] 58%|█████▊ | 29/50 [00:18<00:13, 1.51it/s] 60%|██████ | 30/50 [00:19<00:13, 1.51it/s] 62%|██████▏ | 31/50 [00:20<00:12, 1.52it/s] 64%|██████▍ | 32/50 [00:20<00:11, 1.52it/s] 66%|██████▌ | 33/50 [00:21<00:11, 1.52it/s] 68%|██████▊ | 34/50 [00:22<00:10, 1.53it/s] 70%|███████ | 35/50 [00:22<00:09, 1.53it/s] 72%|███████▏ | 36/50 [00:23<00:09, 1.54it/s] 74%|███████▍ | 37/50 [00:24<00:08, 1.54it/s] 76%|███████▌ | 38/50 [00:24<00:07, 1.55it/s] 78%|███████▊ | 39/50 [00:25<00:07, 1.55it/s] 80%|████████ | 40/50 [00:26<00:06, 1.56it/s] 82%|████████▏ | 41/50 [00:26<00:05, 1.57it/s] 84%|████████▍ | 42/50 [00:27<00:05, 1.57it/s] 86%|████████▌ | 43/50 [00:27<00:04, 1.57it/s] 88%|████████▊ | 44/50 [00:28<00:03, 1.58it/s] 90%|█████████ | 45/50 [00:29<00:03, 1.58it/s] 92%|█████████▏| 46/50 [00:29<00:02, 1.58it/s] 94%|█████████▍| 47/50 [00:30<00:01, 1.59it/s] 96%|█████████▌| 48/50 [00:31<00:01, 1.59it/s] 98%|█████████▊| 49/50 [00:31<00:00, 1.59it/s] 100%|██████████| 50/50 [00:32<00:00, 1.60it/s] 100%|██████████| 50/50 [00:32<00:00, 1.54it/s]
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