charlesmccarthy / epicrealism-v7
epiCRealism v7-Final Destination. Top Realism Model on Civitai
- Public
- 1.8K runs
-
L40S
Prediction
charlesmccarthy/epicrealism-v7:7199497dd63b88bfd1b219bd8a1779d154d63b962f3467c947c10a68be66cf54IDg1994rsxqdrgm0cfvdwsmttwkwStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- vae
- sdxl-vae-fp16-fix
- seed
- -1
- model
- epiCRealism-v7.safetensors
- steps
- 35
- width
- 1184
- height
- 864
- prompt
- A beautiful woman named Tiffany from Atlanta, with pink straight hair, blue eyes, beautiful smile, hard shadows
- cfg_scale
- 7
- scheduler
- DPM++ 2M SDE Karras
- batch_size
- 1
- negative_prompt
- watermarks, logos
- guidance_rescale
- 0.7
{ "vae": "sdxl-vae-fp16-fix", "seed": -1, "model": "epiCRealism-v7.safetensors", "steps": 35, "width": 1184, "height": 864, "prompt": "A beautiful woman named Tiffany from Atlanta, with pink straight hair, blue eyes, beautiful smile, hard shadows", "cfg_scale": 7, "scheduler": "DPM++ 2M SDE Karras", "batch_size": 1, "negative_prompt": "watermarks, logos", "guidance_rescale": 0.7 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run charlesmccarthy/epicrealism-v7 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "charlesmccarthy/epicrealism-v7:7199497dd63b88bfd1b219bd8a1779d154d63b962f3467c947c10a68be66cf54", { input: { vae: "sdxl-vae-fp16-fix", seed: -1, model: "epiCRealism-v7.safetensors", steps: 35, width: 1184, height: 864, prompt: "A beautiful woman named Tiffany from Atlanta, with pink straight hair, blue eyes, beautiful smile, hard shadows", cfg_scale: 7, scheduler: "DPM++ 2M SDE Karras", batch_size: 1, negative_prompt: "watermarks, logos", guidance_rescale: 0.7 } } ); // 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 replicateImport the client:import replicateRun charlesmccarthy/epicrealism-v7 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "charlesmccarthy/epicrealism-v7:7199497dd63b88bfd1b219bd8a1779d154d63b962f3467c947c10a68be66cf54", input={ "vae": "sdxl-vae-fp16-fix", "seed": -1, "model": "epiCRealism-v7.safetensors", "steps": 35, "width": 1184, "height": 864, "prompt": "A beautiful woman named Tiffany from Atlanta, with pink straight hair, blue eyes, beautiful smile, hard shadows", "cfg_scale": 7, "scheduler": "DPM++ 2M SDE Karras", "batch_size": 1, "negative_prompt": "watermarks, logos", "guidance_rescale": 0.7 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run charlesmccarthy/epicrealism-v7 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": "charlesmccarthy/epicrealism-v7:7199497dd63b88bfd1b219bd8a1779d154d63b962f3467c947c10a68be66cf54", "input": { "vae": "sdxl-vae-fp16-fix", "seed": -1, "model": "epiCRealism-v7.safetensors", "steps": 35, "width": 1184, "height": 864, "prompt": "A beautiful woman named Tiffany from Atlanta, with pink straight hair, blue eyes, beautiful smile, hard shadows", "cfg_scale": 7, "scheduler": "DPM++ 2M SDE Karras", "batch_size": 1, "negative_prompt": "watermarks, logos", "guidance_rescale": 0.7 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-06-03T00:21:55.081688Z", "created_at": "2024-06-03T00:21:47.067000Z", "data_removed": false, "error": null, "id": "g1994rsxqdrgm0cfvdwsmttwkw", "input": { "vae": "sdxl-vae-fp16-fix", "seed": -1, "model": "epiCRealism-v7.safetensors", "steps": 35, "width": 1184, "height": 864, "prompt": "A beautiful woman named Tiffany from Atlanta, with pink straight hair, blue eyes, beautiful smile, hard shadows", "cfg_scale": 7, "scheduler": "DPM++ 2M SDE Karras", "batch_size": 1, "negative_prompt": "watermarks, logos", "guidance_rescale": 0.7 }, "logs": "0%| | 0/35 [00:00<?, ?it/s]\n 3%|▎ | 1/35 [00:00<00:06, 5.25it/s]\n 6%|▌ | 2/35 [00:00<00:04, 7.04it/s]\n 9%|▊ | 3/35 [00:00<00:05, 6.11it/s]\n 11%|█▏ | 4/35 [00:00<00:05, 5.75it/s]\n 14%|█▍ | 5/35 [00:00<00:05, 5.56it/s]\n 17%|█▋ | 6/35 [00:01<00:05, 5.45it/s]\n 20%|██ | 7/35 [00:01<00:05, 5.38it/s]\n 23%|██▎ | 8/35 [00:01<00:05, 5.34it/s]\n 26%|██▌ | 9/35 [00:01<00:04, 5.31it/s]\n 29%|██▊ | 10/35 [00:01<00:04, 5.30it/s]\n 31%|███▏ | 11/35 [00:02<00:04, 5.28it/s]\n 34%|███▍ | 12/35 [00:02<00:04, 5.27it/s]\n 37%|███▋ | 13/35 [00:02<00:04, 5.26it/s]\n 40%|████ | 14/35 [00:02<00:03, 5.25it/s]\n 43%|████▎ | 15/35 [00:02<00:03, 5.25it/s]\n 46%|████▌ | 16/35 [00:02<00:03, 5.24it/s]\n 49%|████▊ | 17/35 [00:03<00:03, 5.24it/s]\n 51%|█████▏ | 18/35 [00:03<00:03, 5.23it/s]\n 54%|█████▍ | 19/35 [00:03<00:03, 5.24it/s]\n 57%|█████▋ | 20/35 [00:03<00:02, 5.23it/s]\n 60%|██████ | 21/35 [00:03<00:02, 5.24it/s]\n 63%|██████▎ | 22/35 [00:04<00:02, 5.23it/s]\n 66%|██████▌ | 23/35 [00:04<00:02, 5.23it/s]\n 69%|██████▊ | 24/35 [00:04<00:02, 5.23it/s]\n 71%|███████▏ | 25/35 [00:04<00:01, 5.22it/s]\n 74%|███████▍ | 26/35 [00:04<00:01, 5.23it/s]\n 77%|███████▋ | 27/35 [00:05<00:01, 5.22it/s]\n 80%|████████ | 28/35 [00:05<00:01, 5.23it/s]\n 83%|████████▎ | 29/35 [00:05<00:01, 5.22it/s]\n 86%|████████▌ | 30/35 [00:05<00:00, 5.22it/s]\n 89%|████████▊ | 31/35 [00:05<00:00, 5.22it/s]\n 91%|█████████▏| 32/35 [00:06<00:00, 5.22it/s]\n 94%|█████████▍| 33/35 [00:06<00:00, 5.22it/s]\n 97%|█████████▋| 34/35 [00:06<00:00, 5.22it/s]\n100%|██████████| 35/35 [00:06<00:00, 5.23it/s]\n100%|██████████| 35/35 [00:06<00:00, 5.30it/s]", "metrics": { "predict_time": 7.996127, "total_time": 8.014688 }, "output": [ "https://replicate.delivery/pbxt/wLtqx4qrSm40BBfdNAAW4Jfnv71VdUlyJK4nwSO83BBi6r6SA/0.png" ], "started_at": "2024-06-03T00:21:47.085561Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/g1994rsxqdrgm0cfvdwsmttwkw", "cancel": "https://api.replicate.com/v1/predictions/g1994rsxqdrgm0cfvdwsmttwkw/cancel" }, "version": "7199497dd63b88bfd1b219bd8a1779d154d63b962f3467c947c10a68be66cf54" }Generated in0%| | 0/35 [00:00<?, ?it/s] 3%|▎ | 1/35 [00:00<00:06, 5.25it/s] 6%|▌ | 2/35 [00:00<00:04, 7.04it/s] 9%|▊ | 3/35 [00:00<00:05, 6.11it/s] 11%|█▏ | 4/35 [00:00<00:05, 5.75it/s] 14%|█▍ | 5/35 [00:00<00:05, 5.56it/s] 17%|█▋ | 6/35 [00:01<00:05, 5.45it/s] 20%|██ | 7/35 [00:01<00:05, 5.38it/s] 23%|██▎ | 8/35 [00:01<00:05, 5.34it/s] 26%|██▌ | 9/35 [00:01<00:04, 5.31it/s] 29%|██▊ | 10/35 [00:01<00:04, 5.30it/s] 31%|███▏ | 11/35 [00:02<00:04, 5.28it/s] 34%|███▍ | 12/35 [00:02<00:04, 5.27it/s] 37%|███▋ | 13/35 [00:02<00:04, 5.26it/s] 40%|████ | 14/35 [00:02<00:03, 5.25it/s] 43%|████▎ | 15/35 [00:02<00:03, 5.25it/s] 46%|████▌ | 16/35 [00:02<00:03, 5.24it/s] 49%|████▊ | 17/35 [00:03<00:03, 5.24it/s] 51%|█████▏ | 18/35 [00:03<00:03, 5.23it/s] 54%|█████▍ | 19/35 [00:03<00:03, 5.24it/s] 57%|█████▋ | 20/35 [00:03<00:02, 5.23it/s] 60%|██████ | 21/35 [00:03<00:02, 5.24it/s] 63%|██████▎ | 22/35 [00:04<00:02, 5.23it/s] 66%|██████▌ | 23/35 [00:04<00:02, 5.23it/s] 69%|██████▊ | 24/35 [00:04<00:02, 5.23it/s] 71%|███████▏ | 25/35 [00:04<00:01, 5.22it/s] 74%|███████▍ | 26/35 [00:04<00:01, 5.23it/s] 77%|███████▋ | 27/35 [00:05<00:01, 5.22it/s] 80%|████████ | 28/35 [00:05<00:01, 5.23it/s] 83%|████████▎ | 29/35 [00:05<00:01, 5.22it/s] 86%|████████▌ | 30/35 [00:05<00:00, 5.22it/s] 89%|████████▊ | 31/35 [00:05<00:00, 5.22it/s] 91%|█████████▏| 32/35 [00:06<00:00, 5.22it/s] 94%|█████████▍| 33/35 [00:06<00:00, 5.22it/s] 97%|█████████▋| 34/35 [00:06<00:00, 5.22it/s] 100%|██████████| 35/35 [00:06<00:00, 5.23it/s] 100%|██████████| 35/35 [00:06<00:00, 5.30it/s]Prediction
charlesmccarthy/epicrealism-v7:7199497dd63b88bfd1b219bd8a1779d154d63b962f3467c947c10a68be66cf54IDdavs62rb3nrgg0cfvdz9x3fn7cStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- vae
- sdxl-vae-fp16-fix
- seed
- -1
- model
- epiCRealism-v7.safetensors
- steps
- 35
- width
- 1184
- height
- 864
- prompt
- portrait of a young woman with long wavy brown hair, wearing a blue silk dress, standing against a wooden wardrobe background, hands on hips, natural lighting, confident expression, high-quality, realistic photo, Perfect face, Perfect Hands, detail expression, detailed skin, extreme realistic skin detail, detailed face, (skin imperfections:0.3), intricate, (skin pores:0.2). Cinematic photo, real photo, natural lighting, high quality, film grain, high pixels, high quality, high resolution, photorealistic.
- cfg_scale
- 7
- scheduler
- DPM++ 2M SDE Karras
- batch_size
- 1
- negative_prompt
- watermarks, logos
- guidance_rescale
- 0.4
{ "vae": "sdxl-vae-fp16-fix", "seed": -1, "model": "epiCRealism-v7.safetensors", "steps": 35, "width": 1184, "height": 864, "prompt": "portrait of a young woman with long wavy brown hair, wearing a blue silk dress, standing against a wooden wardrobe background, hands on hips, natural lighting, confident expression, high-quality, realistic photo, Perfect face, Perfect Hands, detail expression, detailed skin, extreme realistic skin detail, detailed face, (skin imperfections:0.3), intricate, (skin pores:0.2). Cinematic photo, real photo, natural lighting, high quality, film grain, high pixels, high quality, high resolution, photorealistic.", "cfg_scale": 7, "scheduler": "DPM++ 2M SDE Karras", "batch_size": 1, "negative_prompt": "watermarks, logos", "guidance_rescale": 0.4 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run charlesmccarthy/epicrealism-v7 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "charlesmccarthy/epicrealism-v7:7199497dd63b88bfd1b219bd8a1779d154d63b962f3467c947c10a68be66cf54", { input: { vae: "sdxl-vae-fp16-fix", seed: -1, model: "epiCRealism-v7.safetensors", steps: 35, width: 1184, height: 864, prompt: "portrait of a young woman with long wavy brown hair, wearing a blue silk dress, standing against a wooden wardrobe background, hands on hips, natural lighting, confident expression, high-quality, realistic photo, Perfect face, Perfect Hands, detail expression, detailed skin, extreme realistic skin detail, detailed face, (skin imperfections:0.3), intricate, (skin pores:0.2). Cinematic photo, real photo, natural lighting, high quality, film grain, high pixels, high quality, high resolution, photorealistic.", cfg_scale: 7, scheduler: "DPM++ 2M SDE Karras", batch_size: 1, negative_prompt: "watermarks, logos", guidance_rescale: 0.4 } } ); // 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 replicateImport the client:import replicateRun charlesmccarthy/epicrealism-v7 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "charlesmccarthy/epicrealism-v7:7199497dd63b88bfd1b219bd8a1779d154d63b962f3467c947c10a68be66cf54", input={ "vae": "sdxl-vae-fp16-fix", "seed": -1, "model": "epiCRealism-v7.safetensors", "steps": 35, "width": 1184, "height": 864, "prompt": "portrait of a young woman with long wavy brown hair, wearing a blue silk dress, standing against a wooden wardrobe background, hands on hips, natural lighting, confident expression, high-quality, realistic photo, Perfect face, Perfect Hands, detail expression, detailed skin, extreme realistic skin detail, detailed face, (skin imperfections:0.3), intricate, (skin pores:0.2). Cinematic photo, real photo, natural lighting, high quality, film grain, high pixels, high quality, high resolution, photorealistic.", "cfg_scale": 7, "scheduler": "DPM++ 2M SDE Karras", "batch_size": 1, "negative_prompt": "watermarks, logos", "guidance_rescale": 0.4 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run charlesmccarthy/epicrealism-v7 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": "charlesmccarthy/epicrealism-v7:7199497dd63b88bfd1b219bd8a1779d154d63b962f3467c947c10a68be66cf54", "input": { "vae": "sdxl-vae-fp16-fix", "seed": -1, "model": "epiCRealism-v7.safetensors", "steps": 35, "width": 1184, "height": 864, "prompt": "portrait of a young woman with long wavy brown hair, wearing a blue silk dress, standing against a wooden wardrobe background, hands on hips, natural lighting, confident expression, high-quality, realistic photo, Perfect face, Perfect Hands, detail expression, detailed skin, extreme realistic skin detail, detailed face, (skin imperfections:0.3), intricate, (skin pores:0.2). Cinematic photo, real photo, natural lighting, high quality, film grain, high pixels, high quality, high resolution, photorealistic.", "cfg_scale": 7, "scheduler": "DPM++ 2M SDE Karras", "batch_size": 1, "negative_prompt": "watermarks, logos", "guidance_rescale": 0.4 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-06-03T00:27:09.870863Z", "created_at": "2024-06-03T00:27:01.789000Z", "data_removed": false, "error": null, "id": "davs62rb3nrgg0cfvdz9x3fn7c", "input": { "vae": "sdxl-vae-fp16-fix", "seed": -1, "model": "epiCRealism-v7.safetensors", "steps": 35, "width": 1184, "height": 864, "prompt": "portrait of a young woman with long wavy brown hair, wearing a blue silk dress, standing against a wooden wardrobe background, hands on hips, natural lighting, confident expression, high-quality, realistic photo, Perfect face, Perfect Hands, detail expression, detailed skin, extreme realistic skin detail, detailed face, (skin imperfections:0.3), intricate, (skin pores:0.2). Cinematic photo, real photo, natural lighting, high quality, film grain, high pixels, high quality, high resolution, photorealistic.", "cfg_scale": 7, "scheduler": "DPM++ 2M SDE Karras", "batch_size": 1, "negative_prompt": "watermarks, logos", "guidance_rescale": 0.4 }, "logs": "The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['pores : 0. 2 ). cinematic photo, real photo, natural lighting, high quality, film grain, high pixels, high quality, high resolution, photorealistic.']\nThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['pores : 0. 2 ). cinematic photo, real photo, natural lighting, high quality, film grain, high pixels, high quality, high resolution, photorealistic.']\n 0%| | 0/35 [00:00<?, ?it/s]\n 3%|▎ | 1/35 [00:00<00:06, 5.25it/s]\n 6%|▌ | 2/35 [00:00<00:04, 7.02it/s]\n 9%|▊ | 3/35 [00:00<00:05, 6.09it/s]\n 11%|█▏ | 4/35 [00:00<00:05, 5.73it/s]\n 14%|█▍ | 5/35 [00:00<00:05, 5.55it/s]\n 17%|█▋ | 6/35 [00:01<00:05, 5.43it/s]\n 20%|██ | 7/35 [00:01<00:05, 5.36it/s]\n 23%|██▎ | 8/35 [00:01<00:05, 5.33it/s]\n 26%|██▌ | 9/35 [00:01<00:04, 5.30it/s]\n 29%|██▊ | 10/35 [00:01<00:04, 5.28it/s]\n 31%|███▏ | 11/35 [00:02<00:04, 5.26it/s]\n 34%|███▍ | 12/35 [00:02<00:04, 5.25it/s]\n 37%|███▋ | 13/35 [00:02<00:04, 5.25it/s]\n 40%|████ | 14/35 [00:02<00:04, 5.24it/s]\n 43%|████▎ | 15/35 [00:02<00:03, 5.24it/s]\n 46%|████▌ | 16/35 [00:02<00:03, 5.23it/s]\n 49%|████▊ | 17/35 [00:03<00:03, 5.23it/s]\n 51%|█████▏ | 18/35 [00:03<00:03, 5.22it/s]\n 54%|█████▍ | 19/35 [00:03<00:03, 5.23it/s]\n 57%|█████▋ | 20/35 [00:03<00:02, 5.23it/s]\n 60%|██████ | 21/35 [00:03<00:02, 5.23it/s]\n 63%|██████▎ | 22/35 [00:04<00:02, 5.22it/s]\n 66%|██████▌ | 23/35 [00:04<00:02, 5.22it/s]\n 69%|██████▊ | 24/35 [00:04<00:02, 5.22it/s]\n 71%|███████▏ | 25/35 [00:04<00:01, 5.22it/s]\n 74%|███████▍ | 26/35 [00:04<00:01, 5.21it/s]\n 77%|███████▋ | 27/35 [00:05<00:01, 5.21it/s]\n 80%|████████ | 28/35 [00:05<00:01, 5.21it/s]\n 83%|████████▎ | 29/35 [00:05<00:01, 5.21it/s]\n 86%|████████▌ | 30/35 [00:05<00:00, 5.21it/s]\n 89%|████████▊ | 31/35 [00:05<00:00, 5.21it/s]\n 91%|█████████▏| 32/35 [00:06<00:00, 5.21it/s]\n 94%|█████████▍| 33/35 [00:06<00:00, 5.21it/s]\n 97%|█████████▋| 34/35 [00:06<00:00, 5.21it/s]\n100%|██████████| 35/35 [00:06<00:00, 5.21it/s]\n100%|██████████| 35/35 [00:06<00:00, 5.29it/s]", "metrics": { "predict_time": 8.064224, "total_time": 8.081863 }, "output": [ "https://replicate.delivery/pbxt/j1LfymLvVPSyWK6ZtFBze1KR97lL5mjgUp0IbisqqzsdfX1lA/0.png" ], "started_at": "2024-06-03T00:27:01.806639Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/davs62rb3nrgg0cfvdz9x3fn7c", "cancel": "https://api.replicate.com/v1/predictions/davs62rb3nrgg0cfvdz9x3fn7c/cancel" }, "version": "7199497dd63b88bfd1b219bd8a1779d154d63b962f3467c947c10a68be66cf54" }Generated inThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['pores : 0. 2 ). cinematic photo, real photo, natural lighting, high quality, film grain, high pixels, high quality, high resolution, photorealistic.'] The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['pores : 0. 2 ). cinematic photo, real photo, natural lighting, high quality, film grain, high pixels, high quality, high resolution, photorealistic.'] 0%| | 0/35 [00:00<?, ?it/s] 3%|▎ | 1/35 [00:00<00:06, 5.25it/s] 6%|▌ | 2/35 [00:00<00:04, 7.02it/s] 9%|▊ | 3/35 [00:00<00:05, 6.09it/s] 11%|█▏ | 4/35 [00:00<00:05, 5.73it/s] 14%|█▍ | 5/35 [00:00<00:05, 5.55it/s] 17%|█▋ | 6/35 [00:01<00:05, 5.43it/s] 20%|██ | 7/35 [00:01<00:05, 5.36it/s] 23%|██▎ | 8/35 [00:01<00:05, 5.33it/s] 26%|██▌ | 9/35 [00:01<00:04, 5.30it/s] 29%|██▊ | 10/35 [00:01<00:04, 5.28it/s] 31%|███▏ | 11/35 [00:02<00:04, 5.26it/s] 34%|███▍ | 12/35 [00:02<00:04, 5.25it/s] 37%|███▋ | 13/35 [00:02<00:04, 5.25it/s] 40%|████ | 14/35 [00:02<00:04, 5.24it/s] 43%|████▎ | 15/35 [00:02<00:03, 5.24it/s] 46%|████▌ | 16/35 [00:02<00:03, 5.23it/s] 49%|████▊ | 17/35 [00:03<00:03, 5.23it/s] 51%|█████▏ | 18/35 [00:03<00:03, 5.22it/s] 54%|█████▍ | 19/35 [00:03<00:03, 5.23it/s] 57%|█████▋ | 20/35 [00:03<00:02, 5.23it/s] 60%|██████ | 21/35 [00:03<00:02, 5.23it/s] 63%|██████▎ | 22/35 [00:04<00:02, 5.22it/s] 66%|██████▌ | 23/35 [00:04<00:02, 5.22it/s] 69%|██████▊ | 24/35 [00:04<00:02, 5.22it/s] 71%|███████▏ | 25/35 [00:04<00:01, 5.22it/s] 74%|███████▍ | 26/35 [00:04<00:01, 5.21it/s] 77%|███████▋ | 27/35 [00:05<00:01, 5.21it/s] 80%|████████ | 28/35 [00:05<00:01, 5.21it/s] 83%|████████▎ | 29/35 [00:05<00:01, 5.21it/s] 86%|████████▌ | 30/35 [00:05<00:00, 5.21it/s] 89%|████████▊ | 31/35 [00:05<00:00, 5.21it/s] 91%|█████████▏| 32/35 [00:06<00:00, 5.21it/s] 94%|█████████▍| 33/35 [00:06<00:00, 5.21it/s] 97%|█████████▋| 34/35 [00:06<00:00, 5.21it/s] 100%|██████████| 35/35 [00:06<00:00, 5.21it/s] 100%|██████████| 35/35 [00:06<00:00, 5.29it/s]Prediction
charlesmccarthy/epicrealism-v7:7199497dd63b88bfd1b219bd8a1779d154d63b962f3467c947c10a68be66cf54IDn7kycvj665rgm0cfve1b57pxqwStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- vae
- sdxl-vae-fp16-fix
- seed
- 4294967295
- model
- epiCRealism-v7.safetensors
- steps
- 46
- width
- 1184
- height
- 864
- prompt
- swimming underwater, submerged, night dynamic lighting, busty woman swim underwater in a bikini, floating hair, colorful (coral:0.8) background, reflections, ocean, ripple, bubbles, dappled shade, closed eyes, closed mouth
- cfg_scale
- 7
- scheduler
- DPM++ 2M SDE Karras
- batch_size
- 1
- negative_prompt
- tank, pool, simple_background, open eyes, open mouth, fish
- guidance_rescale
- 0.7
{ "vae": "sdxl-vae-fp16-fix", "seed": 4294967295, "model": "epiCRealism-v7.safetensors", "steps": 46, "width": 1184, "height": 864, "prompt": "swimming underwater, submerged, night dynamic lighting, busty woman swim underwater in a bikini, floating hair, colorful (coral:0.8) background, reflections, ocean, ripple, bubbles, dappled shade, closed eyes, closed mouth", "cfg_scale": 7, "scheduler": "DPM++ 2M SDE Karras", "batch_size": 1, "negative_prompt": "tank, pool, simple_background, open eyes, open mouth, fish", "guidance_rescale": 0.7 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run charlesmccarthy/epicrealism-v7 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "charlesmccarthy/epicrealism-v7:7199497dd63b88bfd1b219bd8a1779d154d63b962f3467c947c10a68be66cf54", { input: { vae: "sdxl-vae-fp16-fix", seed: 4294967295, model: "epiCRealism-v7.safetensors", steps: 46, width: 1184, height: 864, prompt: "swimming underwater, submerged, night dynamic lighting, busty woman swim underwater in a bikini, floating hair, colorful (coral:0.8) background, reflections, ocean, ripple, bubbles, dappled shade, closed eyes, closed mouth", cfg_scale: 7, scheduler: "DPM++ 2M SDE Karras", batch_size: 1, negative_prompt: "tank, pool, simple_background, open eyes, open mouth, fish", guidance_rescale: 0.7 } } ); // 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 replicateImport the client:import replicateRun charlesmccarthy/epicrealism-v7 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "charlesmccarthy/epicrealism-v7:7199497dd63b88bfd1b219bd8a1779d154d63b962f3467c947c10a68be66cf54", input={ "vae": "sdxl-vae-fp16-fix", "seed": 4294967295, "model": "epiCRealism-v7.safetensors", "steps": 46, "width": 1184, "height": 864, "prompt": "swimming underwater, submerged, night dynamic lighting, busty woman swim underwater in a bikini, floating hair, colorful (coral:0.8) background, reflections, ocean, ripple, bubbles, dappled shade, closed eyes, closed mouth", "cfg_scale": 7, "scheduler": "DPM++ 2M SDE Karras", "batch_size": 1, "negative_prompt": "tank, pool, simple_background, open eyes, open mouth, fish", "guidance_rescale": 0.7 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run charlesmccarthy/epicrealism-v7 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": "charlesmccarthy/epicrealism-v7:7199497dd63b88bfd1b219bd8a1779d154d63b962f3467c947c10a68be66cf54", "input": { "vae": "sdxl-vae-fp16-fix", "seed": 4294967295, "model": "epiCRealism-v7.safetensors", "steps": 46, "width": 1184, "height": 864, "prompt": "swimming underwater, submerged, night dynamic lighting, busty woman swim underwater in a bikini, floating hair, colorful (coral:0.8) background, reflections, ocean, ripple, bubbles, dappled shade, closed eyes, closed mouth", "cfg_scale": 7, "scheduler": "DPM++ 2M SDE Karras", "batch_size": 1, "negative_prompt": "tank, pool, simple_background, open eyes, open mouth, fish", "guidance_rescale": 0.7 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-06-03T00:31:49.232129Z", "created_at": "2024-06-03T00:31:39.057000Z", "data_removed": false, "error": null, "id": "n7kycvj665rgm0cfve1b57pxqw", "input": { "vae": "sdxl-vae-fp16-fix", "seed": 4294967295, "model": "epiCRealism-v7.safetensors", "steps": 46, "width": 1184, "height": 864, "prompt": "swimming underwater, submerged, night dynamic lighting, busty woman swim underwater in a bikini, floating hair, colorful (coral:0.8) background, reflections, ocean, ripple, bubbles, dappled shade, closed eyes, closed mouth", "cfg_scale": 7, "scheduler": "DPM++ 2M SDE Karras", "batch_size": 1, "negative_prompt": "tank, pool, simple_background, open eyes, open mouth, fish", "guidance_rescale": 0.7 }, "logs": "0%| | 0/46 [00:00<?, ?it/s]\n 2%|▏ | 1/46 [00:00<00:08, 5.25it/s]\n 4%|▍ | 2/46 [00:00<00:06, 7.00it/s]\n 7%|▋ | 3/46 [00:00<00:07, 6.06it/s]\n 9%|▊ | 4/46 [00:00<00:07, 5.72it/s]\n 11%|█ | 5/46 [00:00<00:07, 5.55it/s]\n 13%|█▎ | 6/46 [00:01<00:07, 5.44it/s]\n 15%|█▌ | 7/46 [00:01<00:07, 5.37it/s]\n 17%|█▋ | 8/46 [00:01<00:07, 5.34it/s]\n 20%|█▉ | 9/46 [00:01<00:06, 5.32it/s]\n 22%|██▏ | 10/46 [00:01<00:06, 5.30it/s]\n 24%|██▍ | 11/46 [00:02<00:06, 5.28it/s]\n 26%|██▌ | 12/46 [00:02<00:06, 5.27it/s]\n 28%|██▊ | 13/46 [00:02<00:06, 5.26it/s]\n 30%|███ | 14/46 [00:02<00:06, 5.26it/s]\n 33%|███▎ | 15/46 [00:02<00:05, 5.26it/s]\n 35%|███▍ | 16/46 [00:02<00:05, 5.26it/s]\n 37%|███▋ | 17/46 [00:03<00:05, 5.25it/s]\n 39%|███▉ | 18/46 [00:03<00:05, 5.25it/s]\n 41%|████▏ | 19/46 [00:03<00:05, 5.25it/s]\n 43%|████▎ | 20/46 [00:03<00:04, 5.24it/s]\n 46%|████▌ | 21/46 [00:03<00:04, 5.24it/s]\n 48%|████▊ | 22/46 [00:04<00:04, 5.24it/s]\n 50%|█████ | 23/46 [00:04<00:04, 5.24it/s]\n 52%|█████▏ | 24/46 [00:04<00:04, 5.24it/s]\n 54%|█████▍ | 25/46 [00:04<00:04, 5.24it/s]\n 57%|█████▋ | 26/46 [00:04<00:03, 5.24it/s]\n 59%|█████▊ | 27/46 [00:05<00:03, 5.24it/s]\n 61%|██████ | 28/46 [00:05<00:03, 5.24it/s]\n 63%|██████▎ | 29/46 [00:05<00:03, 5.23it/s]\n 65%|██████▌ | 30/46 [00:05<00:03, 5.23it/s]\n 67%|██████▋ | 31/46 [00:05<00:02, 5.23it/s]\n 70%|██████▉ | 32/46 [00:06<00:02, 5.23it/s]\n 72%|███████▏ | 33/46 [00:06<00:02, 5.23it/s]\n 74%|███████▍ | 34/46 [00:06<00:02, 5.23it/s]\n 76%|███████▌ | 35/46 [00:06<00:02, 5.23it/s]\n 78%|███████▊ | 36/46 [00:06<00:01, 5.23it/s]\n 80%|████████ | 37/46 [00:06<00:01, 5.23it/s]\n 83%|████████▎ | 38/46 [00:07<00:01, 5.22it/s]\n 85%|████████▍ | 39/46 [00:07<00:01, 5.22it/s]\n 87%|████████▋ | 40/46 [00:07<00:01, 5.22it/s]\n 89%|████████▉ | 41/46 [00:07<00:00, 5.22it/s]\n 91%|█████████▏| 42/46 [00:07<00:00, 5.22it/s]\n 93%|█████████▎| 43/46 [00:08<00:00, 5.22it/s]\n 96%|█████████▌| 44/46 [00:08<00:00, 5.22it/s]\n 98%|█████████▊| 45/46 [00:08<00:00, 5.22it/s]\n100%|██████████| 46/46 [00:08<00:00, 5.22it/s]\n100%|██████████| 46/46 [00:08<00:00, 5.28it/s]", "metrics": { "predict_time": 10.155662, "total_time": 10.175129 }, "output": [ "https://replicate.delivery/pbxt/MNVqlXe3W02aZSkfilnEvRrJefXifVK3c6ellIJrWTgJ9AruE/0.png" ], "started_at": "2024-06-03T00:31:39.076467Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/n7kycvj665rgm0cfve1b57pxqw", "cancel": "https://api.replicate.com/v1/predictions/n7kycvj665rgm0cfve1b57pxqw/cancel" }, "version": "7199497dd63b88bfd1b219bd8a1779d154d63b962f3467c947c10a68be66cf54" }Generated in0%| | 0/46 [00:00<?, ?it/s] 2%|▏ | 1/46 [00:00<00:08, 5.25it/s] 4%|▍ | 2/46 [00:00<00:06, 7.00it/s] 7%|▋ | 3/46 [00:00<00:07, 6.06it/s] 9%|▊ | 4/46 [00:00<00:07, 5.72it/s] 11%|█ | 5/46 [00:00<00:07, 5.55it/s] 13%|█▎ | 6/46 [00:01<00:07, 5.44it/s] 15%|█▌ | 7/46 [00:01<00:07, 5.37it/s] 17%|█▋ | 8/46 [00:01<00:07, 5.34it/s] 20%|█▉ | 9/46 [00:01<00:06, 5.32it/s] 22%|██▏ | 10/46 [00:01<00:06, 5.30it/s] 24%|██▍ | 11/46 [00:02<00:06, 5.28it/s] 26%|██▌ | 12/46 [00:02<00:06, 5.27it/s] 28%|██▊ | 13/46 [00:02<00:06, 5.26it/s] 30%|███ | 14/46 [00:02<00:06, 5.26it/s] 33%|███▎ | 15/46 [00:02<00:05, 5.26it/s] 35%|███▍ | 16/46 [00:02<00:05, 5.26it/s] 37%|███▋ | 17/46 [00:03<00:05, 5.25it/s] 39%|███▉ | 18/46 [00:03<00:05, 5.25it/s] 41%|████▏ | 19/46 [00:03<00:05, 5.25it/s] 43%|████▎ | 20/46 [00:03<00:04, 5.24it/s] 46%|████▌ | 21/46 [00:03<00:04, 5.24it/s] 48%|████▊ | 22/46 [00:04<00:04, 5.24it/s] 50%|█████ | 23/46 [00:04<00:04, 5.24it/s] 52%|█████▏ | 24/46 [00:04<00:04, 5.24it/s] 54%|█████▍ | 25/46 [00:04<00:04, 5.24it/s] 57%|█████▋ | 26/46 [00:04<00:03, 5.24it/s] 59%|█████▊ | 27/46 [00:05<00:03, 5.24it/s] 61%|██████ | 28/46 [00:05<00:03, 5.24it/s] 63%|██████▎ | 29/46 [00:05<00:03, 5.23it/s] 65%|██████▌ | 30/46 [00:05<00:03, 5.23it/s] 67%|██████▋ | 31/46 [00:05<00:02, 5.23it/s] 70%|██████▉ | 32/46 [00:06<00:02, 5.23it/s] 72%|███████▏ | 33/46 [00:06<00:02, 5.23it/s] 74%|███████▍ | 34/46 [00:06<00:02, 5.23it/s] 76%|███████▌ | 35/46 [00:06<00:02, 5.23it/s] 78%|███████▊ | 36/46 [00:06<00:01, 5.23it/s] 80%|████████ | 37/46 [00:06<00:01, 5.23it/s] 83%|████████▎ | 38/46 [00:07<00:01, 5.22it/s] 85%|████████▍ | 39/46 [00:07<00:01, 5.22it/s] 87%|████████▋ | 40/46 [00:07<00:01, 5.22it/s] 89%|████████▉ | 41/46 [00:07<00:00, 5.22it/s] 91%|█████████▏| 42/46 [00:07<00:00, 5.22it/s] 93%|█████████▎| 43/46 [00:08<00:00, 5.22it/s] 96%|█████████▌| 44/46 [00:08<00:00, 5.22it/s] 98%|█████████▊| 45/46 [00:08<00:00, 5.22it/s] 100%|██████████| 46/46 [00:08<00:00, 5.22it/s] 100%|██████████| 46/46 [00:08<00:00, 5.28it/s]Prediction
charlesmccarthy/epicrealism-v7:7199497dd63b88bfd1b219bd8a1779d154d63b962f3467c947c10a68be66cf54IDe7t73wqcahrgm0cfve1sk5br0gStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- vae
- sdxl-vae-fp16-fix
- seed
- 2890795755
- model
- epiCRealism-v7.safetensors
- steps
- 26
- width
- 1184
- height
- 864
- prompt
- swimming underwater, submerged, night dynamic lighting, busty woman swim underwater in a bikini, floating hair, colorful (coral:0.8) background, reflections, ocean, ripple, bubbles, dappled shade, closed eyes, closed mouth
- cfg_scale
- 4
- scheduler
- DPM++ 2M SDE Karras
- batch_size
- 1
- negative_prompt
- tank, pool, simple_background, open eyes, open mouth, fish
- guidance_rescale
- 0.7
{ "vae": "sdxl-vae-fp16-fix", "seed": 2890795755, "model": "epiCRealism-v7.safetensors", "steps": 26, "width": 1184, "height": 864, "prompt": "swimming underwater, submerged, night dynamic lighting, busty woman swim underwater in a bikini, floating hair, colorful (coral:0.8) background, reflections, ocean, ripple, bubbles, dappled shade, closed eyes, closed mouth", "cfg_scale": 4, "scheduler": "DPM++ 2M SDE Karras", "batch_size": 1, "negative_prompt": "tank, pool, simple_background, open eyes, open mouth, fish", "guidance_rescale": 0.7 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run charlesmccarthy/epicrealism-v7 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "charlesmccarthy/epicrealism-v7:7199497dd63b88bfd1b219bd8a1779d154d63b962f3467c947c10a68be66cf54", { input: { vae: "sdxl-vae-fp16-fix", seed: 2890795755, model: "epiCRealism-v7.safetensors", steps: 26, width: 1184, height: 864, prompt: "swimming underwater, submerged, night dynamic lighting, busty woman swim underwater in a bikini, floating hair, colorful (coral:0.8) background, reflections, ocean, ripple, bubbles, dappled shade, closed eyes, closed mouth", cfg_scale: 4, scheduler: "DPM++ 2M SDE Karras", batch_size: 1, negative_prompt: "tank, pool, simple_background, open eyes, open mouth, fish", guidance_rescale: 0.7 } } ); // 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 replicateImport the client:import replicateRun charlesmccarthy/epicrealism-v7 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "charlesmccarthy/epicrealism-v7:7199497dd63b88bfd1b219bd8a1779d154d63b962f3467c947c10a68be66cf54", input={ "vae": "sdxl-vae-fp16-fix", "seed": 2890795755, "model": "epiCRealism-v7.safetensors", "steps": 26, "width": 1184, "height": 864, "prompt": "swimming underwater, submerged, night dynamic lighting, busty woman swim underwater in a bikini, floating hair, colorful (coral:0.8) background, reflections, ocean, ripple, bubbles, dappled shade, closed eyes, closed mouth", "cfg_scale": 4, "scheduler": "DPM++ 2M SDE Karras", "batch_size": 1, "negative_prompt": "tank, pool, simple_background, open eyes, open mouth, fish", "guidance_rescale": 0.7 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run charlesmccarthy/epicrealism-v7 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": "charlesmccarthy/epicrealism-v7:7199497dd63b88bfd1b219bd8a1779d154d63b962f3467c947c10a68be66cf54", "input": { "vae": "sdxl-vae-fp16-fix", "seed": 2890795755, "model": "epiCRealism-v7.safetensors", "steps": 26, "width": 1184, "height": 864, "prompt": "swimming underwater, submerged, night dynamic lighting, busty woman swim underwater in a bikini, floating hair, colorful (coral:0.8) background, reflections, ocean, ripple, bubbles, dappled shade, closed eyes, closed mouth", "cfg_scale": 4, "scheduler": "DPM++ 2M SDE Karras", "batch_size": 1, "negative_prompt": "tank, pool, simple_background, open eyes, open mouth, fish", "guidance_rescale": 0.7 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-06-03T00:33:33.503651Z", "created_at": "2024-06-03T00:33:27.124000Z", "data_removed": false, "error": null, "id": "e7t73wqcahrgm0cfve1sk5br0g", "input": { "vae": "sdxl-vae-fp16-fix", "seed": 2890795755, "model": "epiCRealism-v7.safetensors", "steps": 26, "width": 1184, "height": 864, "prompt": "swimming underwater, submerged, night dynamic lighting, busty woman swim underwater in a bikini, floating hair, colorful (coral:0.8) background, reflections, ocean, ripple, bubbles, dappled shade, closed eyes, closed mouth", "cfg_scale": 4, "scheduler": "DPM++ 2M SDE Karras", "batch_size": 1, "negative_prompt": "tank, pool, simple_background, open eyes, open mouth, fish", "guidance_rescale": 0.7 }, "logs": "0%| | 0/26 [00:00<?, ?it/s]\n 4%|▍ | 1/26 [00:00<00:04, 5.25it/s]\n 8%|▊ | 2/26 [00:00<00:03, 7.01it/s]\n 12%|█▏ | 3/26 [00:00<00:03, 6.09it/s]\n 15%|█▌ | 4/26 [00:00<00:03, 5.74it/s]\n 19%|█▉ | 5/26 [00:00<00:03, 5.56it/s]\n 23%|██▎ | 6/26 [00:01<00:03, 5.44it/s]\n 27%|██▋ | 7/26 [00:01<00:03, 5.38it/s]\n 31%|███ | 8/26 [00:01<00:03, 5.34it/s]\n 35%|███▍ | 9/26 [00:01<00:03, 5.31it/s]\n 38%|███▊ | 10/26 [00:01<00:03, 5.29it/s]\n 42%|████▏ | 11/26 [00:02<00:02, 5.27it/s]\n 46%|████▌ | 12/26 [00:02<00:02, 5.27it/s]\n 50%|█████ | 13/26 [00:02<00:02, 5.26it/s]\n 54%|█████▍ | 14/26 [00:02<00:02, 5.25it/s]\n 58%|█████▊ | 15/26 [00:02<00:02, 5.25it/s]\n 62%|██████▏ | 16/26 [00:02<00:01, 5.24it/s]\n 65%|██████▌ | 17/26 [00:03<00:01, 5.23it/s]\n 69%|██████▉ | 18/26 [00:03<00:01, 5.23it/s]\n 73%|███████▎ | 19/26 [00:03<00:01, 5.23it/s]\n 77%|███████▋ | 20/26 [00:03<00:01, 5.23it/s]\n 81%|████████ | 21/26 [00:03<00:00, 5.23it/s]\n 85%|████████▍ | 22/26 [00:04<00:00, 5.22it/s]\n 88%|████████▊ | 23/26 [00:04<00:00, 5.22it/s]\n 92%|█████████▏| 24/26 [00:04<00:00, 5.22it/s]\n 96%|█████████▌| 25/26 [00:04<00:00, 5.22it/s]\n100%|██████████| 26/26 [00:04<00:00, 5.22it/s]\n100%|██████████| 26/26 [00:04<00:00, 5.32it/s]", "metrics": { "predict_time": 6.361264, "total_time": 6.379651 }, "output": [ "https://replicate.delivery/pbxt/ki09la9hPT69KZDQg9U4emu2RWJDfP9fe7NmtmG6jK43VwqLB/0.png" ], "started_at": "2024-06-03T00:33:27.142387Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/e7t73wqcahrgm0cfve1sk5br0g", "cancel": "https://api.replicate.com/v1/predictions/e7t73wqcahrgm0cfve1sk5br0g/cancel" }, "version": "7199497dd63b88bfd1b219bd8a1779d154d63b962f3467c947c10a68be66cf54" }Generated in0%| | 0/26 [00:00<?, ?it/s] 4%|▍ | 1/26 [00:00<00:04, 5.25it/s] 8%|▊ | 2/26 [00:00<00:03, 7.01it/s] 12%|█▏ | 3/26 [00:00<00:03, 6.09it/s] 15%|█▌ | 4/26 [00:00<00:03, 5.74it/s] 19%|█▉ | 5/26 [00:00<00:03, 5.56it/s] 23%|██▎ | 6/26 [00:01<00:03, 5.44it/s] 27%|██▋ | 7/26 [00:01<00:03, 5.38it/s] 31%|███ | 8/26 [00:01<00:03, 5.34it/s] 35%|███▍ | 9/26 [00:01<00:03, 5.31it/s] 38%|███▊ | 10/26 [00:01<00:03, 5.29it/s] 42%|████▏ | 11/26 [00:02<00:02, 5.27it/s] 46%|████▌ | 12/26 [00:02<00:02, 5.27it/s] 50%|█████ | 13/26 [00:02<00:02, 5.26it/s] 54%|█████▍ | 14/26 [00:02<00:02, 5.25it/s] 58%|█████▊ | 15/26 [00:02<00:02, 5.25it/s] 62%|██████▏ | 16/26 [00:02<00:01, 5.24it/s] 65%|██████▌ | 17/26 [00:03<00:01, 5.23it/s] 69%|██████▉ | 18/26 [00:03<00:01, 5.23it/s] 73%|███████▎ | 19/26 [00:03<00:01, 5.23it/s] 77%|███████▋ | 20/26 [00:03<00:01, 5.23it/s] 81%|████████ | 21/26 [00:03<00:00, 5.23it/s] 85%|████████▍ | 22/26 [00:04<00:00, 5.22it/s] 88%|████████▊ | 23/26 [00:04<00:00, 5.22it/s] 92%|█████████▏| 24/26 [00:04<00:00, 5.22it/s] 96%|█████████▌| 25/26 [00:04<00:00, 5.22it/s] 100%|██████████| 26/26 [00:04<00:00, 5.22it/s] 100%|██████████| 26/26 [00:04<00:00, 5.32it/s]
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