farbodmehr
/
instagram2
- Public
- 328 runs
-
L40S
- SDXL fine-tune
Prediction
farbodmehr/instagram2:bc6d605d1f225e3b8a079264741ab08ea568a17f742fbf0834c527b4d6052dd0IDukqaqslbu4wg56dxkpbi3xwjy4StatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- width
- 1024
- height
- 1024
- prompt
- photograph taken with iPhone 12 of a dignified Iranian young woman from TOK who appears 'broken but dignified'. Her appearance should reflect resilience and strength, hinting at past struggles yet maintaining an air of elegance and beauty in style of TOK
- refine
- no_refiner
- scheduler
- K_EULER
- lora_scale
- 0.6
- num_outputs
- 1
- guidance_scale
- 7.5
- apply_watermark
- high_noise_frac
- 0.8
- negative_prompt
- hijab , scarf , black and white , iPhone ,European look , model , posing European look , Indian , hijab , scarf , deformed, worst quality, text, watermark, logo, banner, extra digits, deformed fingers, deformed hands, cropped, jpeg artefacts, signature, username, error, sketch, duplicate, ugly, monochrome, horror, geometry, mutation, disgusting
- prompt_strength
- 0.45
- num_inference_steps
- 50
{ "width": 1024, "height": 1024, "prompt": "photograph taken with iPhone 12 of a dignified Iranian young woman from TOK who appears 'broken but dignified'. Her appearance should reflect resilience and strength, hinting at past struggles yet maintaining an air of elegance and beauty in style of TOK\n", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "hijab , scarf , black and white , iPhone ,European look , model , posing European look , Indian , hijab , scarf , deformed, worst quality, text, watermark, logo, banner, extra digits, deformed fingers, deformed hands, cropped, jpeg artefacts, signature, username, error, sketch, duplicate, ugly, monochrome, horror, geometry, mutation, disgusting", "prompt_strength": 0.45, "num_inference_steps": 50 }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 farbodmehr/instagram2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "farbodmehr/instagram2:bc6d605d1f225e3b8a079264741ab08ea568a17f742fbf0834c527b4d6052dd0", { input: { width: 1024, height: 1024, prompt: "photograph taken with iPhone 12 of a dignified Iranian young woman from TOK who appears 'broken but dignified'. Her appearance should reflect resilience and strength, hinting at past struggles yet maintaining an air of elegance and beauty in style of TOK\n", refine: "no_refiner", scheduler: "K_EULER", lora_scale: 0.6, num_outputs: 1, guidance_scale: 7.5, apply_watermark: true, high_noise_frac: 0.8, negative_prompt: "hijab , scarf , black and white , iPhone ,European look , model , posing European look , Indian , hijab , scarf , deformed, worst quality, text, watermark, logo, banner, extra digits, deformed fingers, deformed hands, cropped, jpeg artefacts, signature, username, error, sketch, duplicate, ugly, monochrome, horror, geometry, mutation, disgusting", prompt_strength: 0.45, 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 replicateImport the client:import replicateRun farbodmehr/instagram2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "farbodmehr/instagram2:bc6d605d1f225e3b8a079264741ab08ea568a17f742fbf0834c527b4d6052dd0", input={ "width": 1024, "height": 1024, "prompt": "photograph taken with iPhone 12 of a dignified Iranian young woman from TOK who appears 'broken but dignified'. Her appearance should reflect resilience and strength, hinting at past struggles yet maintaining an air of elegance and beauty in style of TOK\n", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": True, "high_noise_frac": 0.8, "negative_prompt": "hijab , scarf , black and white , iPhone ,European look , model , posing European look , Indian , hijab , scarf , deformed, worst quality, text, watermark, logo, banner, extra digits, deformed fingers, deformed hands, cropped, jpeg artefacts, signature, username, error, sketch, duplicate, ugly, monochrome, horror, geometry, mutation, disgusting", "prompt_strength": 0.45, "num_inference_steps": 50 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run farbodmehr/instagram2 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": "bc6d605d1f225e3b8a079264741ab08ea568a17f742fbf0834c527b4d6052dd0", "input": { "width": 1024, "height": 1024, "prompt": "photograph taken with iPhone 12 of a dignified Iranian young woman from TOK who appears \'broken but dignified\'. Her appearance should reflect resilience and strength, hinting at past struggles yet maintaining an air of elegance and beauty in style of TOK\\n", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "hijab , scarf , black and white , iPhone ,European look , model , posing European look , Indian , hijab , scarf , deformed, worst quality, text, watermark, logo, banner, extra digits, deformed fingers, deformed hands, cropped, jpeg artefacts, signature, username, error, sketch, duplicate, ugly, monochrome, horror, geometry, mutation, disgusting", "prompt_strength": 0.45, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-01-25T01:55:27.892979Z", "created_at": "2024-01-25T01:55:01.166593Z", "data_removed": false, "error": null, "id": "ukqaqslbu4wg56dxkpbi3xwjy4", "input": { "width": 1024, "height": 1024, "prompt": "photograph taken with iPhone 12 of a dignified Iranian young woman from TOK who appears 'broken but dignified'. Her appearance should reflect resilience and strength, hinting at past struggles yet maintaining an air of elegance and beauty in style of TOK\n", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "hijab , scarf , black and white , iPhone ,European look , model , posing European look , Indian , hijab , scarf , deformed, worst quality, text, watermark, logo, banner, extra digits, deformed fingers, deformed hands, cropped, jpeg artefacts, signature, username, error, sketch, duplicate, ugly, monochrome, horror, geometry, mutation, disgusting", "prompt_strength": 0.45, "num_inference_steps": 50 }, "logs": "Using seed: 43364\nLoading fine-tuned model\nDoes not have Unet. assume we are using LoRA\nLoading Unet LoRA\nPrompt: photograph taken with iPhone 12 of a dignified Iranian young woman from <s0><s1> who appears 'broken but dignified'. Her appearance should reflect resilience and strength, hinting at past struggles yet maintaining an air of elegance and beauty in style of <s0><s1>\ntxt2img mode\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:13, 3.64it/s]\n 4%|▍ | 2/50 [00:00<00:13, 3.64it/s]\n 6%|▌ | 3/50 [00:00<00:12, 3.64it/s]\n 8%|▊ | 4/50 [00:01<00:12, 3.64it/s]\n 10%|█ | 5/50 [00:01<00:12, 3.64it/s]\n 12%|█▏ | 6/50 [00:01<00:12, 3.64it/s]\n 14%|█▍ | 7/50 [00:01<00:11, 3.64it/s]\n 16%|█▌ | 8/50 [00:02<00:11, 3.64it/s]\n 18%|█▊ | 9/50 [00:02<00:11, 3.64it/s]\n 20%|██ | 10/50 [00:02<00:11, 3.63it/s]\n 22%|██▏ | 11/50 [00:03<00:10, 3.63it/s]\n 24%|██▍ | 12/50 [00:03<00:10, 3.63it/s]\n 26%|██▌ | 13/50 [00:03<00:10, 3.63it/s]\n 28%|██▊ | 14/50 [00:03<00:09, 3.63it/s]\n 30%|███ | 15/50 [00:04<00:09, 3.63it/s]\n 32%|███▏ | 16/50 [00:04<00:09, 3.63it/s]\n 34%|███▍ | 17/50 [00:04<00:09, 3.63it/s]\n 36%|███▌ | 18/50 [00:04<00:08, 3.63it/s]\n 38%|███▊ | 19/50 [00:05<00:08, 3.63it/s]\n 40%|████ | 20/50 [00:05<00:08, 3.63it/s]\n 42%|████▏ | 21/50 [00:05<00:08, 3.62it/s]\n 44%|████▍ | 22/50 [00:06<00:07, 3.62it/s]\n 46%|████▌ | 23/50 [00:06<00:07, 3.62it/s]\n 48%|████▊ | 24/50 [00:06<00:07, 3.62it/s]\n 50%|█████ | 25/50 [00:06<00:06, 3.62it/s]\n 52%|█████▏ | 26/50 [00:07<00:06, 3.61it/s]\n 54%|█████▍ | 27/50 [00:07<00:06, 3.61it/s]\n 56%|█████▌ | 28/50 [00:07<00:06, 3.61it/s]\n 58%|█████▊ | 29/50 [00:07<00:05, 3.62it/s]\n 60%|██████ | 30/50 [00:08<00:05, 3.62it/s]\n 62%|██████▏ | 31/50 [00:08<00:05, 3.62it/s]\n 64%|██████▍ | 32/50 [00:08<00:04, 3.61it/s]\n 66%|██████▌ | 33/50 [00:09<00:04, 3.62it/s]\n 68%|██████▊ | 34/50 [00:09<00:04, 3.62it/s]\n 70%|███████ | 35/50 [00:09<00:04, 3.62it/s]\n 72%|███████▏ | 36/50 [00:09<00:03, 3.62it/s]\n 74%|███████▍ | 37/50 [00:10<00:03, 3.62it/s]\n 76%|███████▌ | 38/50 [00:10<00:03, 3.61it/s]\n 78%|███████▊ | 39/50 [00:10<00:03, 3.62it/s]\n 80%|████████ | 40/50 [00:11<00:02, 3.62it/s]\n 82%|████████▏ | 41/50 [00:11<00:02, 3.62it/s]\n 84%|████████▍ | 42/50 [00:11<00:02, 3.62it/s]\n 86%|████████▌ | 43/50 [00:11<00:01, 3.61it/s]\n 88%|████████▊ | 44/50 [00:12<00:01, 3.61it/s]\n 90%|█████████ | 45/50 [00:12<00:01, 3.61it/s]\n 92%|█████████▏| 46/50 [00:12<00:01, 3.61it/s]\n 94%|█████████▍| 47/50 [00:12<00:00, 3.61it/s]\n 96%|█████████▌| 48/50 [00:13<00:00, 3.61it/s]\n 98%|█████████▊| 49/50 [00:13<00:00, 3.61it/s]\n100%|██████████| 50/50 [00:13<00:00, 3.61it/s]\n100%|██████████| 50/50 [00:13<00:00, 3.62it/s]", "metrics": { "predict_time": 16.079727, "total_time": 26.726386 }, "output": [ "https://replicate.delivery/pbxt/TPxC8l1OfAUDJqWmkdB3bvJxFPZ4N58oh0BCvfzt8gWPG3PSA/out-0.png" ], "started_at": "2024-01-25T01:55:11.813252Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/ukqaqslbu4wg56dxkpbi3xwjy4", "cancel": "https://api.replicate.com/v1/predictions/ukqaqslbu4wg56dxkpbi3xwjy4/cancel" }, "version": "bc6d605d1f225e3b8a079264741ab08ea568a17f742fbf0834c527b4d6052dd0" }Generated inUsing seed: 43364 Loading fine-tuned model Does not have Unet. assume we are using LoRA Loading Unet LoRA Prompt: photograph taken with iPhone 12 of a dignified Iranian young woman from <s0><s1> who appears 'broken but dignified'. Her appearance should reflect resilience and strength, hinting at past struggles yet maintaining an air of elegance and beauty in style of <s0><s1> txt2img mode 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:13, 3.64it/s] 4%|▍ | 2/50 [00:00<00:13, 3.64it/s] 6%|▌ | 3/50 [00:00<00:12, 3.64it/s] 8%|▊ | 4/50 [00:01<00:12, 3.64it/s] 10%|█ | 5/50 [00:01<00:12, 3.64it/s] 12%|█▏ | 6/50 [00:01<00:12, 3.64it/s] 14%|█▍ | 7/50 [00:01<00:11, 3.64it/s] 16%|█▌ | 8/50 [00:02<00:11, 3.64it/s] 18%|█▊ | 9/50 [00:02<00:11, 3.64it/s] 20%|██ | 10/50 [00:02<00:11, 3.63it/s] 22%|██▏ | 11/50 [00:03<00:10, 3.63it/s] 24%|██▍ | 12/50 [00:03<00:10, 3.63it/s] 26%|██▌ | 13/50 [00:03<00:10, 3.63it/s] 28%|██▊ | 14/50 [00:03<00:09, 3.63it/s] 30%|███ | 15/50 [00:04<00:09, 3.63it/s] 32%|███▏ | 16/50 [00:04<00:09, 3.63it/s] 34%|███▍ | 17/50 [00:04<00:09, 3.63it/s] 36%|███▌ | 18/50 [00:04<00:08, 3.63it/s] 38%|███▊ | 19/50 [00:05<00:08, 3.63it/s] 40%|████ | 20/50 [00:05<00:08, 3.63it/s] 42%|████▏ | 21/50 [00:05<00:08, 3.62it/s] 44%|████▍ | 22/50 [00:06<00:07, 3.62it/s] 46%|████▌ | 23/50 [00:06<00:07, 3.62it/s] 48%|████▊ | 24/50 [00:06<00:07, 3.62it/s] 50%|█████ | 25/50 [00:06<00:06, 3.62it/s] 52%|█████▏ | 26/50 [00:07<00:06, 3.61it/s] 54%|█████▍ | 27/50 [00:07<00:06, 3.61it/s] 56%|█████▌ | 28/50 [00:07<00:06, 3.61it/s] 58%|█████▊ | 29/50 [00:07<00:05, 3.62it/s] 60%|██████ | 30/50 [00:08<00:05, 3.62it/s] 62%|██████▏ | 31/50 [00:08<00:05, 3.62it/s] 64%|██████▍ | 32/50 [00:08<00:04, 3.61it/s] 66%|██████▌ | 33/50 [00:09<00:04, 3.62it/s] 68%|██████▊ | 34/50 [00:09<00:04, 3.62it/s] 70%|███████ | 35/50 [00:09<00:04, 3.62it/s] 72%|███████▏ | 36/50 [00:09<00:03, 3.62it/s] 74%|███████▍ | 37/50 [00:10<00:03, 3.62it/s] 76%|███████▌ | 38/50 [00:10<00:03, 3.61it/s] 78%|███████▊ | 39/50 [00:10<00:03, 3.62it/s] 80%|████████ | 40/50 [00:11<00:02, 3.62it/s] 82%|████████▏ | 41/50 [00:11<00:02, 3.62it/s] 84%|████████▍ | 42/50 [00:11<00:02, 3.62it/s] 86%|████████▌ | 43/50 [00:11<00:01, 3.61it/s] 88%|████████▊ | 44/50 [00:12<00:01, 3.61it/s] 90%|█████████ | 45/50 [00:12<00:01, 3.61it/s] 92%|█████████▏| 46/50 [00:12<00:01, 3.61it/s] 94%|█████████▍| 47/50 [00:12<00:00, 3.61it/s] 96%|█████████▌| 48/50 [00:13<00:00, 3.61it/s] 98%|█████████▊| 49/50 [00:13<00:00, 3.61it/s] 100%|██████████| 50/50 [00:13<00:00, 3.61it/s] 100%|██████████| 50/50 [00:13<00:00, 3.62it/s]Prediction
farbodmehr/instagram2:bc6d605d1f225e3b8a079264741ab08ea568a17f742fbf0834c527b4d6052dd0ID2t56gedbnt2q6lsbvixpeyxswuStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- width
- 1024
- height
- 1024
- prompt
- TOK photograph taken with iPhone 12 of a dignified young iranian woman black eye from TOK who appears 'broken but dignified'. Her appearance should reflect resilience and strength, hinting at past struggles yet maintaining an air of elegance and beauty in style of TOK wearing zara white shirt circular face
- refine
- no_refiner
- scheduler
- K_EULER
- lora_scale
- 0.6
- num_outputs
- 1
- guidance_scale
- 7.5
- apply_watermark
- high_noise_frac
- 0.8
- negative_prompt
- hijab , scarf , black and white , iPhone ,European look , model , posing European look , Indian , hijab , scarf , deformed, worst quality, text, watermark, logo, banner, extra digits, deformed fingers, deformed hands, cropped, jpeg artefacts, signature, username, error, sketch, duplicate, ugly, monochrome, horror, geometry, mutation, disgusting
- prompt_strength
- 0.45
- num_inference_steps
- 50
{ "width": 1024, "height": 1024, "prompt": "TOK photograph taken with iPhone 12 of a dignified young iranian woman black eye from TOK who appears 'broken but dignified'. Her appearance should reflect resilience and strength, hinting at past struggles yet maintaining an air of elegance and beauty in style of TOK wearing zara white shirt circular face \n", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "hijab , scarf , black and white , iPhone ,European look , model , posing European look , Indian , hijab , scarf , deformed, worst quality, text, watermark, logo, banner, extra digits, deformed fingers, deformed hands, cropped, jpeg artefacts, signature, username, error, sketch, duplicate, ugly, monochrome, horror, geometry, mutation, disgusting", "prompt_strength": 0.45, "num_inference_steps": 50 }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 farbodmehr/instagram2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "farbodmehr/instagram2:bc6d605d1f225e3b8a079264741ab08ea568a17f742fbf0834c527b4d6052dd0", { input: { width: 1024, height: 1024, prompt: "TOK photograph taken with iPhone 12 of a dignified young iranian woman black eye from TOK who appears 'broken but dignified'. Her appearance should reflect resilience and strength, hinting at past struggles yet maintaining an air of elegance and beauty in style of TOK wearing zara white shirt circular face \n", refine: "no_refiner", scheduler: "K_EULER", lora_scale: 0.6, num_outputs: 1, guidance_scale: 7.5, apply_watermark: true, high_noise_frac: 0.8, negative_prompt: "hijab , scarf , black and white , iPhone ,European look , model , posing European look , Indian , hijab , scarf , deformed, worst quality, text, watermark, logo, banner, extra digits, deformed fingers, deformed hands, cropped, jpeg artefacts, signature, username, error, sketch, duplicate, ugly, monochrome, horror, geometry, mutation, disgusting", prompt_strength: 0.45, 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 replicateImport the client:import replicateRun farbodmehr/instagram2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "farbodmehr/instagram2:bc6d605d1f225e3b8a079264741ab08ea568a17f742fbf0834c527b4d6052dd0", input={ "width": 1024, "height": 1024, "prompt": "TOK photograph taken with iPhone 12 of a dignified young iranian woman black eye from TOK who appears 'broken but dignified'. Her appearance should reflect resilience and strength, hinting at past struggles yet maintaining an air of elegance and beauty in style of TOK wearing zara white shirt circular face \n", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": True, "high_noise_frac": 0.8, "negative_prompt": "hijab , scarf , black and white , iPhone ,European look , model , posing European look , Indian , hijab , scarf , deformed, worst quality, text, watermark, logo, banner, extra digits, deformed fingers, deformed hands, cropped, jpeg artefacts, signature, username, error, sketch, duplicate, ugly, monochrome, horror, geometry, mutation, disgusting", "prompt_strength": 0.45, "num_inference_steps": 50 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run farbodmehr/instagram2 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": "bc6d605d1f225e3b8a079264741ab08ea568a17f742fbf0834c527b4d6052dd0", "input": { "width": 1024, "height": 1024, "prompt": "TOK photograph taken with iPhone 12 of a dignified young iranian woman black eye from TOK who appears \'broken but dignified\'. Her appearance should reflect resilience and strength, hinting at past struggles yet maintaining an air of elegance and beauty in style of TOK wearing zara white shirt circular face \\n", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "hijab , scarf , black and white , iPhone ,European look , model , posing European look , Indian , hijab , scarf , deformed, worst quality, text, watermark, logo, banner, extra digits, deformed fingers, deformed hands, cropped, jpeg artefacts, signature, username, error, sketch, duplicate, ugly, monochrome, horror, geometry, mutation, disgusting", "prompt_strength": 0.45, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-01-25T02:01:45.024249Z", "created_at": "2024-01-25T02:01:25.267206Z", "data_removed": false, "error": null, "id": "2t56gedbnt2q6lsbvixpeyxswu", "input": { "width": 1024, "height": 1024, "prompt": "TOK photograph taken with iPhone 12 of a dignified young iranian woman black eye from TOK who appears 'broken but dignified'. Her appearance should reflect resilience and strength, hinting at past struggles yet maintaining an air of elegance and beauty in style of TOK wearing zara white shirt circular face \n", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "hijab , scarf , black and white , iPhone ,European look , model , posing European look , Indian , hijab , scarf , deformed, worst quality, text, watermark, logo, banner, extra digits, deformed fingers, deformed hands, cropped, jpeg artefacts, signature, username, error, sketch, duplicate, ugly, monochrome, horror, geometry, mutation, disgusting", "prompt_strength": 0.45, "num_inference_steps": 50 }, "logs": "Using seed: 2706\nLoading fine-tuned model\nDoes not have Unet. assume we are using LoRA\nLoading Unet LoRA\nPrompt: <s0><s1> photograph taken with iPhone 12 of a dignified young iranian woman black eye from <s0><s1> who appears 'broken but dignified'. Her appearance should reflect resilience and strength, hinting at past struggles yet maintaining an air of elegance and beauty in style of <s0><s1> wearing zara white shirt circular face\ntxt2img mode\n 0%| | 0/50 [00:00<?, ?it/s]\n 2%|▏ | 1/50 [00:00<00:13, 3.69it/s]\n 4%|▍ | 2/50 [00:00<00:13, 3.67it/s]\n 6%|▌ | 3/50 [00:00<00:12, 3.66it/s]\n 8%|▊ | 4/50 [00:01<00:12, 3.66it/s]\n 10%|█ | 5/50 [00:01<00:12, 3.67it/s]\n 12%|█▏ | 6/50 [00:01<00:11, 3.67it/s]\n 14%|█▍ | 7/50 [00:01<00:11, 3.67it/s]\n 16%|█▌ | 8/50 [00:02<00:11, 3.67it/s]\n 18%|█▊ | 9/50 [00:02<00:11, 3.67it/s]\n 20%|██ | 10/50 [00:02<00:10, 3.67it/s]\n 22%|██▏ | 11/50 [00:02<00:10, 3.67it/s]\n 24%|██▍ | 12/50 [00:03<00:10, 3.67it/s]\n 26%|██▌ | 13/50 [00:03<00:10, 3.67it/s]\n 28%|██▊ | 14/50 [00:03<00:09, 3.67it/s]\n 30%|███ | 15/50 [00:04<00:09, 3.67it/s]\n 32%|███▏ | 16/50 [00:04<00:09, 3.67it/s]\n 34%|███▍ | 17/50 [00:04<00:09, 3.66it/s]\n 36%|███▌ | 18/50 [00:04<00:08, 3.66it/s]\n 38%|███▊ | 19/50 [00:05<00:08, 3.66it/s]\n 40%|████ | 20/50 [00:05<00:08, 3.66it/s]\n 42%|████▏ | 21/50 [00:05<00:07, 3.66it/s]\n 44%|████▍ | 22/50 [00:06<00:07, 3.66it/s]\n 46%|████▌ | 23/50 [00:06<00:07, 3.66it/s]\n 48%|████▊ | 24/50 [00:06<00:07, 3.66it/s]\n 50%|█████ | 25/50 [00:06<00:06, 3.66it/s]\n 52%|█████▏ | 26/50 [00:07<00:06, 3.66it/s]\n 54%|█████▍ | 27/50 [00:07<00:06, 3.66it/s]\n 56%|█████▌ | 28/50 [00:07<00:06, 3.65it/s]\n 58%|█████▊ | 29/50 [00:07<00:05, 3.65it/s]\n 60%|██████ | 30/50 [00:08<00:05, 3.66it/s]\n 62%|██████▏ | 31/50 [00:08<00:05, 3.65it/s]\n 64%|██████▍ | 32/50 [00:08<00:04, 3.66it/s]\n 66%|██████▌ | 33/50 [00:09<00:04, 3.66it/s]\n 68%|██████▊ | 34/50 [00:09<00:04, 3.65it/s]\n 70%|███████ | 35/50 [00:09<00:04, 3.65it/s]\n 72%|███████▏ | 36/50 [00:09<00:03, 3.66it/s]\n 74%|███████▍ | 37/50 [00:10<00:03, 3.65it/s]\n 76%|███████▌ | 38/50 [00:10<00:03, 3.65it/s]\n 78%|███████▊ | 39/50 [00:10<00:03, 3.65it/s]\n 80%|████████ | 40/50 [00:10<00:02, 3.65it/s]\n 82%|████████▏ | 41/50 [00:11<00:02, 3.65it/s]\n 84%|████████▍ | 42/50 [00:11<00:02, 3.65it/s]\n 86%|████████▌ | 43/50 [00:11<00:01, 3.65it/s]\n 88%|████████▊ | 44/50 [00:12<00:01, 3.65it/s]\n 90%|█████████ | 45/50 [00:12<00:01, 3.65it/s]\n 92%|█████████▏| 46/50 [00:12<00:01, 3.65it/s]\n 94%|█████████▍| 47/50 [00:12<00:00, 3.65it/s]\n 96%|█████████▌| 48/50 [00:13<00:00, 3.65it/s]\n 98%|█████████▊| 49/50 [00:13<00:00, 3.65it/s]\n100%|██████████| 50/50 [00:13<00:00, 3.65it/s]\n100%|██████████| 50/50 [00:13<00:00, 3.66it/s]", "metrics": { "predict_time": 16.183812, "total_time": 19.757043 }, "output": [ "https://replicate.delivery/pbxt/qfPmB3jFPv1vNqEvwyQxaoLLMGTvPaQbYo6nLgjJhNGEm7HJA/out-0.png" ], "started_at": "2024-01-25T02:01:28.840437Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/2t56gedbnt2q6lsbvixpeyxswu", "cancel": "https://api.replicate.com/v1/predictions/2t56gedbnt2q6lsbvixpeyxswu/cancel" }, "version": "bc6d605d1f225e3b8a079264741ab08ea568a17f742fbf0834c527b4d6052dd0" }Generated inUsing seed: 2706 Loading fine-tuned model Does not have Unet. assume we are using LoRA Loading Unet LoRA Prompt: <s0><s1> photograph taken with iPhone 12 of a dignified young iranian woman black eye from <s0><s1> who appears 'broken but dignified'. Her appearance should reflect resilience and strength, hinting at past struggles yet maintaining an air of elegance and beauty in style of <s0><s1> wearing zara white shirt circular face txt2img mode 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:00<00:13, 3.69it/s] 4%|▍ | 2/50 [00:00<00:13, 3.67it/s] 6%|▌ | 3/50 [00:00<00:12, 3.66it/s] 8%|▊ | 4/50 [00:01<00:12, 3.66it/s] 10%|█ | 5/50 [00:01<00:12, 3.67it/s] 12%|█▏ | 6/50 [00:01<00:11, 3.67it/s] 14%|█▍ | 7/50 [00:01<00:11, 3.67it/s] 16%|█▌ | 8/50 [00:02<00:11, 3.67it/s] 18%|█▊ | 9/50 [00:02<00:11, 3.67it/s] 20%|██ | 10/50 [00:02<00:10, 3.67it/s] 22%|██▏ | 11/50 [00:02<00:10, 3.67it/s] 24%|██▍ | 12/50 [00:03<00:10, 3.67it/s] 26%|██▌ | 13/50 [00:03<00:10, 3.67it/s] 28%|██▊ | 14/50 [00:03<00:09, 3.67it/s] 30%|███ | 15/50 [00:04<00:09, 3.67it/s] 32%|███▏ | 16/50 [00:04<00:09, 3.67it/s] 34%|███▍ | 17/50 [00:04<00:09, 3.66it/s] 36%|███▌ | 18/50 [00:04<00:08, 3.66it/s] 38%|███▊ | 19/50 [00:05<00:08, 3.66it/s] 40%|████ | 20/50 [00:05<00:08, 3.66it/s] 42%|████▏ | 21/50 [00:05<00:07, 3.66it/s] 44%|████▍ | 22/50 [00:06<00:07, 3.66it/s] 46%|████▌ | 23/50 [00:06<00:07, 3.66it/s] 48%|████▊ | 24/50 [00:06<00:07, 3.66it/s] 50%|█████ | 25/50 [00:06<00:06, 3.66it/s] 52%|█████▏ | 26/50 [00:07<00:06, 3.66it/s] 54%|█████▍ | 27/50 [00:07<00:06, 3.66it/s] 56%|█████▌ | 28/50 [00:07<00:06, 3.65it/s] 58%|█████▊ | 29/50 [00:07<00:05, 3.65it/s] 60%|██████ | 30/50 [00:08<00:05, 3.66it/s] 62%|██████▏ | 31/50 [00:08<00:05, 3.65it/s] 64%|██████▍ | 32/50 [00:08<00:04, 3.66it/s] 66%|██████▌ | 33/50 [00:09<00:04, 3.66it/s] 68%|██████▊ | 34/50 [00:09<00:04, 3.65it/s] 70%|███████ | 35/50 [00:09<00:04, 3.65it/s] 72%|███████▏ | 36/50 [00:09<00:03, 3.66it/s] 74%|███████▍ | 37/50 [00:10<00:03, 3.65it/s] 76%|███████▌ | 38/50 [00:10<00:03, 3.65it/s] 78%|███████▊ | 39/50 [00:10<00:03, 3.65it/s] 80%|████████ | 40/50 [00:10<00:02, 3.65it/s] 82%|████████▏ | 41/50 [00:11<00:02, 3.65it/s] 84%|████████▍ | 42/50 [00:11<00:02, 3.65it/s] 86%|████████▌ | 43/50 [00:11<00:01, 3.65it/s] 88%|████████▊ | 44/50 [00:12<00:01, 3.65it/s] 90%|█████████ | 45/50 [00:12<00:01, 3.65it/s] 92%|█████████▏| 46/50 [00:12<00:01, 3.65it/s] 94%|█████████▍| 47/50 [00:12<00:00, 3.65it/s] 96%|█████████▌| 48/50 [00:13<00:00, 3.65it/s] 98%|█████████▊| 49/50 [00:13<00:00, 3.65it/s] 100%|██████████| 50/50 [00:13<00:00, 3.65it/s] 100%|██████████| 50/50 [00:13<00:00, 3.66it/s]Prediction
farbodmehr/instagram2:bc6d605d1f225e3b8a079264741ab08ea568a17f742fbf0834c527b4d6052dd0IDgyltywdbuezvzotdebl2tvnljmStatusSucceededSourceWebHardwareA40 (Large)Total durationCreatedInput
- width
- 1024
- height
- 1024
- prompt
- photograph taken with iPhone 12 of a dignified Iranian young woman from TOK who appears 'broken but dignified'. Her appearance should reflect resilience and strength, hinting at past struggles yet maintaining an air of elegance and beauty in style of TOK
- refine
- no_refiner
- scheduler
- K_EULER
- lora_scale
- 0.6
- num_outputs
- 1
- guidance_scale
- 7.5
- apply_watermark
- high_noise_frac
- 0.8
- negative_prompt
- hijab , scarf , black and white , iPhone ,European look , model , posing European look , Indian , hijab , scarf , deformed, worst quality, text, watermark, logo, banner, extra digits, deformed fingers, deformed hands, cropped, jpeg artefacts, signature, username, error, sketch, duplicate, ugly, monochrome, horror, geometry, mutation, disgusting
- prompt_strength
- 0.45
- num_inference_steps
- 50
{ "width": 1024, "height": 1024, "prompt": "photograph taken with iPhone 12 of a dignified Iranian young woman from TOK who appears 'broken but dignified'. Her appearance should reflect resilience and strength, hinting at past struggles yet maintaining an air of elegance and beauty in style of TOK\n", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "hijab , scarf , black and white , iPhone ,European look , model , posing European look , Indian , hijab , scarf , deformed, worst quality, text, watermark, logo, banner, extra digits, deformed fingers, deformed hands, cropped, jpeg artefacts, signature, username, error, sketch, duplicate, ugly, monochrome, horror, geometry, mutation, disgusting", "prompt_strength": 0.45, "num_inference_steps": 50 }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 farbodmehr/instagram2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "farbodmehr/instagram2:bc6d605d1f225e3b8a079264741ab08ea568a17f742fbf0834c527b4d6052dd0", { input: { width: 1024, height: 1024, prompt: "photograph taken with iPhone 12 of a dignified Iranian young woman from TOK who appears 'broken but dignified'. Her appearance should reflect resilience and strength, hinting at past struggles yet maintaining an air of elegance and beauty in style of TOK\n", refine: "no_refiner", scheduler: "K_EULER", lora_scale: 0.6, num_outputs: 1, guidance_scale: 7.5, apply_watermark: true, high_noise_frac: 0.8, negative_prompt: "hijab , scarf , black and white , iPhone ,European look , model , posing European look , Indian , hijab , scarf , deformed, worst quality, text, watermark, logo, banner, extra digits, deformed fingers, deformed hands, cropped, jpeg artefacts, signature, username, error, sketch, duplicate, ugly, monochrome, horror, geometry, mutation, disgusting", prompt_strength: 0.45, 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 replicateImport the client:import replicateRun farbodmehr/instagram2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "farbodmehr/instagram2:bc6d605d1f225e3b8a079264741ab08ea568a17f742fbf0834c527b4d6052dd0", input={ "width": 1024, "height": 1024, "prompt": "photograph taken with iPhone 12 of a dignified Iranian young woman from TOK who appears 'broken but dignified'. Her appearance should reflect resilience and strength, hinting at past struggles yet maintaining an air of elegance and beauty in style of TOK\n", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": True, "high_noise_frac": 0.8, "negative_prompt": "hijab , scarf , black and white , iPhone ,European look , model , posing European look , Indian , hijab , scarf , deformed, worst quality, text, watermark, logo, banner, extra digits, deformed fingers, deformed hands, cropped, jpeg artefacts, signature, username, error, sketch, duplicate, ugly, monochrome, horror, geometry, mutation, disgusting", "prompt_strength": 0.45, "num_inference_steps": 50 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run farbodmehr/instagram2 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": "bc6d605d1f225e3b8a079264741ab08ea568a17f742fbf0834c527b4d6052dd0", "input": { "width": 1024, "height": 1024, "prompt": "photograph taken with iPhone 12 of a dignified Iranian young woman from TOK who appears \'broken but dignified\'. Her appearance should reflect resilience and strength, hinting at past struggles yet maintaining an air of elegance and beauty in style of TOK\\n", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "hijab , scarf , black and white , iPhone ,European look , model , posing European look , Indian , hijab , scarf , deformed, worst quality, text, watermark, logo, banner, extra digits, deformed fingers, deformed hands, cropped, jpeg artefacts, signature, username, error, sketch, duplicate, ugly, monochrome, horror, geometry, mutation, disgusting", "prompt_strength": 0.45, "num_inference_steps": 50 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-01-25T01:57:04.936939Z", "created_at": "2024-01-25T01:56:40.218140Z", "data_removed": false, "error": null, "id": "gyltywdbuezvzotdebl2tvnljm", "input": { "width": 1024, "height": 1024, "prompt": "photograph taken with iPhone 12 of a dignified Iranian young woman from TOK who appears 'broken but dignified'. Her appearance should reflect resilience and strength, hinting at past struggles yet maintaining an air of elegance and beauty in style of TOK\n", "refine": "no_refiner", "scheduler": "K_EULER", "lora_scale": 0.6, "num_outputs": 1, "guidance_scale": 7.5, "apply_watermark": true, "high_noise_frac": 0.8, "negative_prompt": "hijab , scarf , black and white , iPhone ,European look , model , posing European look , Indian , hijab , scarf , deformed, worst quality, text, watermark, logo, banner, extra digits, deformed fingers, deformed hands, cropped, jpeg artefacts, signature, username, error, sketch, duplicate, ugly, monochrome, horror, geometry, mutation, disgusting", "prompt_strength": 0.45, "num_inference_steps": 50 }, "logs": "Using seed: 12606\nEnsuring enough disk space...\nFree disk space: 1531510308864\nDownloading weights: https://replicate.delivery/pbxt/mKdsz4jJfAT1NKannfQ53fNatRq2lKbwsUhwgy2dz4oUM6UkA/trained_model.tar\n2024-01-25T01:56:45Z | INFO | [ Initiating ] dest=/src/weights-cache/576ba06adcf06688 minimum_chunk_size=150M url=https://replicate.delivery/pbxt/mKdsz4jJfAT1NKannfQ53fNatRq2lKbwsUhwgy2dz4oUM6UkA/trained_model.tar\n2024-01-25T01:56:46Z | INFO | [ Complete ] dest=/src/weights-cache/576ba06adcf06688 size=\"186 MB\" total_elapsed=0.827s url=https://replicate.delivery/pbxt/mKdsz4jJfAT1NKannfQ53fNatRq2lKbwsUhwgy2dz4oUM6UkA/trained_model.tar\nb''\nDownloaded weights in 0.9847643375396729 seconds\nLoading fine-tuned model\nDoes not have Unet. assume we are using LoRA\nLoading Unet LoRA\nPrompt: photograph taken with iPhone 12 of a dignified Iranian young woman from <s0><s1> who appears 'broken but dignified'. Her appearance should reflect resilience and strength, hinting at past struggles yet maintaining an air of elegance and beauty in style of <s0><s1>\ntxt2img mode\n 0%| | 0/50 [00:00<?, ?it/s]/usr/local/lib/python3.9/site-packages/torch/nn/modules/conv.py:459: UserWarning: Applied workaround for CuDNN issue, install nvrtc.so (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:80.)\nreturn F.conv2d(input, weight, bias, self.stride,\n 2%|▏ | 1/50 [00:01<00:59, 1.22s/it]\n 4%|▍ | 2/50 [00:01<00:31, 1.51it/s]\n 6%|▌ | 3/50 [00:01<00:22, 2.06it/s]\n 8%|▊ | 4/50 [00:02<00:18, 2.50it/s]\n 10%|█ | 5/50 [00:02<00:15, 2.82it/s]\n 12%|█▏ | 6/50 [00:02<00:14, 3.07it/s]\n 14%|█▍ | 7/50 [00:02<00:13, 3.24it/s]\n 16%|█▌ | 8/50 [00:03<00:12, 3.36it/s]\n 18%|█▊ | 9/50 [00:03<00:11, 3.45it/s]\n 20%|██ | 10/50 [00:03<00:11, 3.49it/s]\n 22%|██▏ | 11/50 [00:03<00:11, 3.54it/s]\n 24%|██▍ | 12/50 [00:04<00:10, 3.58it/s]\n 26%|██▌ | 13/50 [00:04<00:10, 3.60it/s]\n 28%|██▊ | 14/50 [00:04<00:09, 3.62it/s]\n 30%|███ | 15/50 [00:05<00:09, 3.64it/s]\n 32%|███▏ | 16/50 [00:05<00:09, 3.65it/s]\n 34%|███▍ | 17/50 [00:05<00:09, 3.65it/s]\n 36%|███▌ | 18/50 [00:05<00:08, 3.66it/s]\n 38%|███▊ | 19/50 [00:06<00:08, 3.66it/s]\n 40%|████ | 20/50 [00:06<00:08, 3.66it/s]\n 42%|████▏ | 21/50 [00:06<00:07, 3.66it/s]\n 44%|████▍ | 22/50 [00:06<00:07, 3.66it/s]\n 46%|████▌ | 23/50 [00:07<00:07, 3.66it/s]\n 48%|████▊ | 24/50 [00:07<00:07, 3.66it/s]\n 50%|█████ | 25/50 [00:07<00:06, 3.66it/s]\n 52%|█████▏ | 26/50 [00:08<00:06, 3.65it/s]\n 54%|█████▍ | 27/50 [00:08<00:06, 3.65it/s]\n 56%|█████▌ | 28/50 [00:08<00:06, 3.65it/s]\n 58%|█████▊ | 29/50 [00:08<00:05, 3.65it/s]\n 60%|██████ | 30/50 [00:09<00:05, 3.65it/s]\n 62%|██████▏ | 31/50 [00:09<00:05, 3.65it/s]\n 64%|██████▍ | 32/50 [00:09<00:04, 3.66it/s]\n 66%|██████▌ | 33/50 [00:09<00:04, 3.67it/s]\n 68%|██████▊ | 34/50 [00:10<00:04, 3.67it/s]\n 70%|███████ | 35/50 [00:10<00:04, 3.67it/s]\n 72%|███████▏ | 36/50 [00:10<00:03, 3.68it/s]\n 74%|███████▍ | 37/50 [00:11<00:03, 3.67it/s]\n 76%|███████▌ | 38/50 [00:11<00:03, 3.68it/s]\n 78%|███████▊ | 39/50 [00:11<00:02, 3.68it/s]\n 80%|████████ | 40/50 [00:11<00:02, 3.67it/s]\n 82%|████████▏ | 41/50 [00:12<00:02, 3.67it/s]\n 84%|████████▍ | 42/50 [00:12<00:02, 3.68it/s]\n 86%|████████▌ | 43/50 [00:12<00:01, 3.67it/s]\n 88%|████████▊ | 44/50 [00:12<00:01, 3.67it/s]\n 90%|█████████ | 45/50 [00:13<00:01, 3.67it/s]\n 92%|█████████▏| 46/50 [00:13<00:01, 3.67it/s]\n 94%|█████████▍| 47/50 [00:13<00:00, 3.67it/s]\n 96%|█████████▌| 48/50 [00:14<00:00, 3.67it/s]\n 98%|█████████▊| 49/50 [00:14<00:00, 3.67it/s]\n100%|██████████| 50/50 [00:14<00:00, 3.67it/s]\n100%|██████████| 50/50 [00:14<00:00, 3.43it/s]", "metrics": { "predict_time": 19.73663, "total_time": 24.718799 }, "output": [ "https://replicate.delivery/pbxt/rQMrOrVYMH4DJpD86xPOYrJJO3HOaiBvpnKj3hdPOlz7x9jE/out-0.png" ], "started_at": "2024-01-25T01:56:45.200309Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/gyltywdbuezvzotdebl2tvnljm", "cancel": "https://api.replicate.com/v1/predictions/gyltywdbuezvzotdebl2tvnljm/cancel" }, "version": "bc6d605d1f225e3b8a079264741ab08ea568a17f742fbf0834c527b4d6052dd0" }Generated inUsing seed: 12606 Ensuring enough disk space... Free disk space: 1531510308864 Downloading weights: https://replicate.delivery/pbxt/mKdsz4jJfAT1NKannfQ53fNatRq2lKbwsUhwgy2dz4oUM6UkA/trained_model.tar 2024-01-25T01:56:45Z | INFO | [ Initiating ] dest=/src/weights-cache/576ba06adcf06688 minimum_chunk_size=150M url=https://replicate.delivery/pbxt/mKdsz4jJfAT1NKannfQ53fNatRq2lKbwsUhwgy2dz4oUM6UkA/trained_model.tar 2024-01-25T01:56:46Z | INFO | [ Complete ] dest=/src/weights-cache/576ba06adcf06688 size="186 MB" total_elapsed=0.827s url=https://replicate.delivery/pbxt/mKdsz4jJfAT1NKannfQ53fNatRq2lKbwsUhwgy2dz4oUM6UkA/trained_model.tar b'' Downloaded weights in 0.9847643375396729 seconds Loading fine-tuned model Does not have Unet. assume we are using LoRA Loading Unet LoRA Prompt: photograph taken with iPhone 12 of a dignified Iranian young woman from <s0><s1> who appears 'broken but dignified'. Her appearance should reflect resilience and strength, hinting at past struggles yet maintaining an air of elegance and beauty in style of <s0><s1> txt2img mode 0%| | 0/50 [00:00<?, ?it/s]/usr/local/lib/python3.9/site-packages/torch/nn/modules/conv.py:459: UserWarning: Applied workaround for CuDNN issue, install nvrtc.so (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:80.) return F.conv2d(input, weight, bias, self.stride, 2%|▏ | 1/50 [00:01<00:59, 1.22s/it] 4%|▍ | 2/50 [00:01<00:31, 1.51it/s] 6%|▌ | 3/50 [00:01<00:22, 2.06it/s] 8%|▊ | 4/50 [00:02<00:18, 2.50it/s] 10%|█ | 5/50 [00:02<00:15, 2.82it/s] 12%|█▏ | 6/50 [00:02<00:14, 3.07it/s] 14%|█▍ | 7/50 [00:02<00:13, 3.24it/s] 16%|█▌ | 8/50 [00:03<00:12, 3.36it/s] 18%|█▊ | 9/50 [00:03<00:11, 3.45it/s] 20%|██ | 10/50 [00:03<00:11, 3.49it/s] 22%|██▏ | 11/50 [00:03<00:11, 3.54it/s] 24%|██▍ | 12/50 [00:04<00:10, 3.58it/s] 26%|██▌ | 13/50 [00:04<00:10, 3.60it/s] 28%|██▊ | 14/50 [00:04<00:09, 3.62it/s] 30%|███ | 15/50 [00:05<00:09, 3.64it/s] 32%|███▏ | 16/50 [00:05<00:09, 3.65it/s] 34%|███▍ | 17/50 [00:05<00:09, 3.65it/s] 36%|███▌ | 18/50 [00:05<00:08, 3.66it/s] 38%|███▊ | 19/50 [00:06<00:08, 3.66it/s] 40%|████ | 20/50 [00:06<00:08, 3.66it/s] 42%|████▏ | 21/50 [00:06<00:07, 3.66it/s] 44%|████▍ | 22/50 [00:06<00:07, 3.66it/s] 46%|████▌ | 23/50 [00:07<00:07, 3.66it/s] 48%|████▊ | 24/50 [00:07<00:07, 3.66it/s] 50%|█████ | 25/50 [00:07<00:06, 3.66it/s] 52%|█████▏ | 26/50 [00:08<00:06, 3.65it/s] 54%|█████▍ | 27/50 [00:08<00:06, 3.65it/s] 56%|█████▌ | 28/50 [00:08<00:06, 3.65it/s] 58%|█████▊ | 29/50 [00:08<00:05, 3.65it/s] 60%|██████ | 30/50 [00:09<00:05, 3.65it/s] 62%|██████▏ | 31/50 [00:09<00:05, 3.65it/s] 64%|██████▍ | 32/50 [00:09<00:04, 3.66it/s] 66%|██████▌ | 33/50 [00:09<00:04, 3.67it/s] 68%|██████▊ | 34/50 [00:10<00:04, 3.67it/s] 70%|███████ | 35/50 [00:10<00:04, 3.67it/s] 72%|███████▏ | 36/50 [00:10<00:03, 3.68it/s] 74%|███████▍ | 37/50 [00:11<00:03, 3.67it/s] 76%|███████▌ | 38/50 [00:11<00:03, 3.68it/s] 78%|███████▊ | 39/50 [00:11<00:02, 3.68it/s] 80%|████████ | 40/50 [00:11<00:02, 3.67it/s] 82%|████████▏ | 41/50 [00:12<00:02, 3.67it/s] 84%|████████▍ | 42/50 [00:12<00:02, 3.68it/s] 86%|████████▌ | 43/50 [00:12<00:01, 3.67it/s] 88%|████████▊ | 44/50 [00:12<00:01, 3.67it/s] 90%|█████████ | 45/50 [00:13<00:01, 3.67it/s] 92%|█████████▏| 46/50 [00:13<00:01, 3.67it/s] 94%|█████████▍| 47/50 [00:13<00:00, 3.67it/s] 96%|█████████▌| 48/50 [00:14<00:00, 3.67it/s] 98%|█████████▊| 49/50 [00:14<00:00, 3.67it/s] 100%|██████████| 50/50 [00:14<00:00, 3.67it/s] 100%|██████████| 50/50 [00:14<00:00, 3.43it/s]
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