juddisjudd
/
roxannec
- Public
- 46 runs
-
H100
Prediction
juddisjudd/roxannec:49a169e5669b595d20a00a0efbb7635c99f7ff847996659c65fbb2319b753c74ID5nd2qvaeaxrm40chqe6rsq1ff4StatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- width
- 1080
- height
- 1350
- prompt
- a photo of ROX looking at the camera with a smile, background of a cozy cafe
- lora_scale
- 1
- num_outputs
- 4
- aspect_ratio
- 1:1
- output_format
- png
- guidance_scale
- 3.5
- output_quality
- 100
- prompt_strength
- 0.8
- extra_lora_scale
- 0.8
- num_inference_steps
- 28
{ "model": "dev", "width": 1080, "height": 1350, "prompt": "a photo of ROX looking at the camera with a smile, background of a cozy cafe", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3.5, "output_quality": 100, "prompt_strength": 0.8, "extra_lora_scale": 0.8, "num_inference_steps": 28 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run juddisjudd/roxannec using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "juddisjudd/roxannec:49a169e5669b595d20a00a0efbb7635c99f7ff847996659c65fbb2319b753c74", { input: { model: "dev", width: 1080, height: 1350, prompt: "a photo of ROX looking at the camera with a smile, background of a cozy cafe", lora_scale: 1, num_outputs: 4, aspect_ratio: "1:1", output_format: "png", guidance_scale: 3.5, output_quality: 100, prompt_strength: 0.8, extra_lora_scale: 0.8, num_inference_steps: 28 } } ); // 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 juddisjudd/roxannec using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "juddisjudd/roxannec:49a169e5669b595d20a00a0efbb7635c99f7ff847996659c65fbb2319b753c74", input={ "model": "dev", "width": 1080, "height": 1350, "prompt": "a photo of ROX looking at the camera with a smile, background of a cozy cafe", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3.5, "output_quality": 100, "prompt_strength": 0.8, "extra_lora_scale": 0.8, "num_inference_steps": 28 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run juddisjudd/roxannec 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": "49a169e5669b595d20a00a0efbb7635c99f7ff847996659c65fbb2319b753c74", "input": { "model": "dev", "width": 1080, "height": 1350, "prompt": "a photo of ROX looking at the camera with a smile, background of a cozy cafe", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3.5, "output_quality": 100, "prompt_strength": 0.8, "extra_lora_scale": 0.8, "num_inference_steps": 28 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-09-04T05:42:09.018714Z", "created_at": "2024-09-04T05:41:25.719000Z", "data_removed": false, "error": null, "id": "5nd2qvaeaxrm40chqe6rsq1ff4", "input": { "model": "dev", "width": 1080, "height": 1350, "prompt": "a photo of ROX looking at the camera with a smile, background of a cozy cafe", "lora_scale": 1, "num_outputs": 4, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3.5, "output_quality": 100, "prompt_strength": 0.8, "extra_lora_scale": 0.8, "num_inference_steps": 28 }, "logs": "Using seed: 63306\nPrompt: a photo of ROX looking at the camera with a smile, background of a cozy cafe\ntxt2img mode\nUsing dev model\nfree=9251274964992\nDownloading weights\n2024-09-04T05:41:25Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpmfjpv3mq/weights url=https://replicate.delivery/yhqm/fzBZuPpRHbQtIKISYbjBTUjGzZteVJihghJChwsV6AzmSaZTA/trained_model.tar\n2024-09-04T05:41:27Z | INFO | [ Complete ] dest=/tmp/tmpmfjpv3mq/weights size=\"172 MB\" total_elapsed=1.390s url=https://replicate.delivery/yhqm/fzBZuPpRHbQtIKISYbjBTUjGzZteVJihghJChwsV6AzmSaZTA/trained_model.tar\nDownloaded weights in 1.42s\nLoaded LoRAs in 10.53s\n 0%| | 0/28 [00:00<?, ?it/s]\n 4%|▎ | 1/28 [00:01<00:28, 1.07s/it]\n 7%|▋ | 2/28 [00:01<00:24, 1.06it/s]\n 11%|█ | 3/28 [00:02<00:24, 1.00it/s]\n 14%|█▍ | 4/28 [00:04<00:24, 1.03s/it]\n 18%|█▊ | 5/28 [00:05<00:23, 1.04s/it]\n 21%|██▏ | 6/28 [00:06<00:23, 1.05s/it]\n 25%|██▌ | 7/28 [00:07<00:22, 1.06s/it]\n 29%|██▊ | 8/28 [00:08<00:21, 1.06s/it]\n 32%|███▏ | 9/28 [00:09<00:20, 1.06s/it]\n 36%|███▌ | 10/28 [00:10<00:19, 1.07s/it]\n 39%|███▉ | 11/28 [00:11<00:18, 1.07s/it]\n 43%|████▎ | 12/28 [00:12<00:17, 1.07s/it]\n 46%|████▋ | 13/28 [00:13<00:16, 1.07s/it]\n 50%|█████ | 14/28 [00:14<00:14, 1.07s/it]\n 54%|█████▎ | 15/28 [00:15<00:13, 1.07s/it]\n 57%|█████▋ | 16/28 [00:16<00:12, 1.07s/it]\n 61%|██████ | 17/28 [00:17<00:11, 1.07s/it]\n 64%|██████▍ | 18/28 [00:19<00:10, 1.07s/it]\n 68%|██████▊ | 19/28 [00:20<00:09, 1.07s/it]\n 71%|███████▏ | 20/28 [00:21<00:08, 1.07s/it]\n 75%|███████▌ | 21/28 [00:22<00:07, 1.07s/it]\n 79%|███████▊ | 22/28 [00:23<00:06, 1.07s/it]\n 82%|████████▏ | 23/28 [00:24<00:05, 1.07s/it]\n 86%|████████▌ | 24/28 [00:25<00:04, 1.07s/it]\n 89%|████████▉ | 25/28 [00:26<00:03, 1.07s/it]\n 93%|█████████▎| 26/28 [00:27<00:02, 1.07s/it]\n 96%|█████████▋| 27/28 [00:28<00:01, 1.07s/it]\n100%|██████████| 28/28 [00:29<00:00, 1.07s/it]\n100%|██████████| 28/28 [00:29<00:00, 1.06s/it]", "metrics": { "predict_time": 43.289365774, "total_time": 43.299714 }, "output": [ "https://replicate.delivery/yhqm/wb4QmLW3x8bDMlKeSiw5vDi4WtTZxJIBIisS7Yueu80wUaZTA/out-0.png", "https://replicate.delivery/yhqm/ISVrAWmXNn6YF9QN1LHeW4LnMmiTsGuQMQkShzq4cfiwUaZTA/out-1.png", "https://replicate.delivery/yhqm/GE3dy078ocbgGZePxUPHy23kg7T032sjW1UAuPsv7eowUaZTA/out-2.png", "https://replicate.delivery/yhqm/an6SbWLljHYNO15V9rsOd4LVOXysKK7jSuqwhrwy9IJMlW2E/out-3.png" ], "started_at": "2024-09-04T05:41:25.729348Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/5nd2qvaeaxrm40chqe6rsq1ff4", "cancel": "https://api.replicate.com/v1/predictions/5nd2qvaeaxrm40chqe6rsq1ff4/cancel" }, "version": "49a169e5669b595d20a00a0efbb7635c99f7ff847996659c65fbb2319b753c74" }
Generated inUsing seed: 63306 Prompt: a photo of ROX looking at the camera with a smile, background of a cozy cafe txt2img mode Using dev model free=9251274964992 Downloading weights 2024-09-04T05:41:25Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpmfjpv3mq/weights url=https://replicate.delivery/yhqm/fzBZuPpRHbQtIKISYbjBTUjGzZteVJihghJChwsV6AzmSaZTA/trained_model.tar 2024-09-04T05:41:27Z | INFO | [ Complete ] dest=/tmp/tmpmfjpv3mq/weights size="172 MB" total_elapsed=1.390s url=https://replicate.delivery/yhqm/fzBZuPpRHbQtIKISYbjBTUjGzZteVJihghJChwsV6AzmSaZTA/trained_model.tar Downloaded weights in 1.42s Loaded LoRAs in 10.53s 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:28, 1.07s/it] 7%|▋ | 2/28 [00:01<00:24, 1.06it/s] 11%|█ | 3/28 [00:02<00:24, 1.00it/s] 14%|█▍ | 4/28 [00:04<00:24, 1.03s/it] 18%|█▊ | 5/28 [00:05<00:23, 1.04s/it] 21%|██▏ | 6/28 [00:06<00:23, 1.05s/it] 25%|██▌ | 7/28 [00:07<00:22, 1.06s/it] 29%|██▊ | 8/28 [00:08<00:21, 1.06s/it] 32%|███▏ | 9/28 [00:09<00:20, 1.06s/it] 36%|███▌ | 10/28 [00:10<00:19, 1.07s/it] 39%|███▉ | 11/28 [00:11<00:18, 1.07s/it] 43%|████▎ | 12/28 [00:12<00:17, 1.07s/it] 46%|████▋ | 13/28 [00:13<00:16, 1.07s/it] 50%|█████ | 14/28 [00:14<00:14, 1.07s/it] 54%|█████▎ | 15/28 [00:15<00:13, 1.07s/it] 57%|█████▋ | 16/28 [00:16<00:12, 1.07s/it] 61%|██████ | 17/28 [00:17<00:11, 1.07s/it] 64%|██████▍ | 18/28 [00:19<00:10, 1.07s/it] 68%|██████▊ | 19/28 [00:20<00:09, 1.07s/it] 71%|███████▏ | 20/28 [00:21<00:08, 1.07s/it] 75%|███████▌ | 21/28 [00:22<00:07, 1.07s/it] 79%|███████▊ | 22/28 [00:23<00:06, 1.07s/it] 82%|████████▏ | 23/28 [00:24<00:05, 1.07s/it] 86%|████████▌ | 24/28 [00:25<00:04, 1.07s/it] 89%|████████▉ | 25/28 [00:26<00:03, 1.07s/it] 93%|█████████▎| 26/28 [00:27<00:02, 1.07s/it] 96%|█████████▋| 27/28 [00:28<00:01, 1.07s/it] 100%|██████████| 28/28 [00:29<00:00, 1.07s/it] 100%|██████████| 28/28 [00:29<00:00, 1.06s/it]
Prediction
juddisjudd/roxannec:14d7e5934a0744925391ef6b5e1453a4bb3d7559a7dc689427f940fb92cb9f42IDtjdefthd25rm40chp2ta2s6q2rStatusSucceededSourceWebHardwareH100Total durationCreatedInput
- model
- dev
- width
- 1020
- height
- 1350
- prompt
- a photo of ROX, a woman with a nose piercing, wearing a black shirt and earrings, looking at the camera with a smirk on her face
- lora_scale
- 1
- num_outputs
- 2
- aspect_ratio
- 1:1
- output_format
- png
- guidance_scale
- 3.5
- output_quality
- 100
- extra_lora_scale
- 0.8
- num_inference_steps
- 35
{ "model": "dev", "width": 1020, "height": 1350, "prompt": "a photo of ROX, a woman with a nose piercing, wearing a black shirt and earrings, looking at the camera with a smirk on her face", "lora_scale": 1, "num_outputs": 2, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3.5, "output_quality": 100, "extra_lora_scale": 0.8, "num_inference_steps": 35 }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run juddisjudd/roxannec using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "juddisjudd/roxannec:14d7e5934a0744925391ef6b5e1453a4bb3d7559a7dc689427f940fb92cb9f42", { input: { model: "dev", width: 1020, height: 1350, prompt: "a photo of ROX, a woman with a nose piercing, wearing a black shirt and earrings, looking at the camera with a smirk on her face", lora_scale: 1, num_outputs: 2, aspect_ratio: "1:1", output_format: "png", guidance_scale: 3.5, output_quality: 100, extra_lora_scale: 0.8, num_inference_steps: 35 } } ); // 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 juddisjudd/roxannec using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "juddisjudd/roxannec:14d7e5934a0744925391ef6b5e1453a4bb3d7559a7dc689427f940fb92cb9f42", input={ "model": "dev", "width": 1020, "height": 1350, "prompt": "a photo of ROX, a woman with a nose piercing, wearing a black shirt and earrings, looking at the camera with a smirk on her face", "lora_scale": 1, "num_outputs": 2, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3.5, "output_quality": 100, "extra_lora_scale": 0.8, "num_inference_steps": 35 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run juddisjudd/roxannec 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": "14d7e5934a0744925391ef6b5e1453a4bb3d7559a7dc689427f940fb92cb9f42", "input": { "model": "dev", "width": 1020, "height": 1350, "prompt": "a photo of ROX, a woman with a nose piercing, wearing a black shirt and earrings, looking at the camera with a smirk on her face", "lora_scale": 1, "num_outputs": 2, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3.5, "output_quality": 100, "extra_lora_scale": 0.8, "num_inference_steps": 35 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2024-09-02T03:08:34.778694Z", "created_at": "2024-09-02T03:08:03.729000Z", "data_removed": false, "error": null, "id": "tjdefthd25rm40chp2ta2s6q2r", "input": { "model": "dev", "width": 1020, "height": 1350, "prompt": "a photo of ROX, a woman with a nose piercing, wearing a black shirt and earrings, looking at the camera with a smirk on her face", "lora_scale": 1, "num_outputs": 2, "aspect_ratio": "1:1", "output_format": "png", "guidance_scale": 3.5, "output_quality": 100, "extra_lora_scale": 0.8, "num_inference_steps": 35 }, "logs": "Using seed: 2257\nPrompt: a photo of ROX, a woman with a nose piercing, wearing a black shirt and earrings, looking at the camera with a smirk on her face\ntxt2img mode\nUsing dev model\nfree=9484248555520\nDownloading weights\n2024-09-02T03:08:03Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp0l9_wo1j/weights url=https://replicate.delivery/yhqm/TpL2jrBDzeSjekdXFzDcQeNjv6eOTwmXunlFd11tutvmd2iNB/trained_model.tar\n2024-09-02T03:08:07Z | INFO | [ Complete ] dest=/tmp/tmp0l9_wo1j/weights size=\"172 MB\" total_elapsed=3.596s url=https://replicate.delivery/yhqm/TpL2jrBDzeSjekdXFzDcQeNjv6eOTwmXunlFd11tutvmd2iNB/trained_model.tar\nDownloaded weights in 3.63s\nLoaded LoRAs in 11.85s\n 0%| | 0/35 [00:00<?, ?it/s]\n 3%|▎ | 1/35 [00:00<00:17, 1.93it/s]\n 6%|▌ | 2/35 [00:00<00:14, 2.21it/s]\n 9%|▊ | 3/35 [00:01<00:15, 2.07it/s]\n 11%|█▏ | 4/35 [00:01<00:15, 2.01it/s]\n 14%|█▍ | 5/35 [00:02<00:15, 1.97it/s]\n 17%|█▋ | 6/35 [00:03<00:14, 1.96it/s]\n 20%|██ | 7/35 [00:03<00:14, 1.94it/s]\n 23%|██▎ | 8/35 [00:04<00:13, 1.94it/s]\n 26%|██▌ | 9/35 [00:04<00:13, 1.93it/s]\n 29%|██▊ | 10/35 [00:05<00:12, 1.93it/s]\n 31%|███▏ | 11/35 [00:05<00:12, 1.92it/s]\n 34%|███▍ | 12/35 [00:06<00:11, 1.92it/s]\n 37%|███▋ | 13/35 [00:06<00:11, 1.92it/s]\n 40%|████ | 14/35 [00:07<00:10, 1.92it/s]\n 43%|████▎ | 15/35 [00:07<00:10, 1.92it/s]\n 46%|████▌ | 16/35 [00:08<00:09, 1.92it/s]\n 49%|████▊ | 17/35 [00:08<00:09, 1.92it/s]\n 51%|█████▏ | 18/35 [00:09<00:08, 1.92it/s]\n 54%|█████▍ | 19/35 [00:09<00:08, 1.92it/s]\n 57%|█████▋ | 20/35 [00:10<00:07, 1.92it/s]\n 60%|██████ | 21/35 [00:10<00:07, 1.92it/s]\n 63%|██████▎ | 22/35 [00:11<00:06, 1.92it/s]\n 66%|██████▌ | 23/35 [00:11<00:06, 1.92it/s]\n 69%|██████▊ | 24/35 [00:12<00:05, 1.92it/s]\n 71%|███████▏ | 25/35 [00:12<00:05, 1.92it/s]\n 74%|███████▍ | 26/35 [00:13<00:04, 1.92it/s]\n 77%|███████▋ | 27/35 [00:13<00:04, 1.92it/s]\n 80%|████████ | 28/35 [00:14<00:03, 1.92it/s]\n 83%|████████▎ | 29/35 [00:14<00:03, 1.92it/s]\n 86%|████████▌ | 30/35 [00:15<00:02, 1.92it/s]\n 89%|████████▊ | 31/35 [00:16<00:02, 1.92it/s]\n 91%|█████████▏| 32/35 [00:16<00:01, 1.92it/s]\n 94%|█████████▍| 33/35 [00:17<00:01, 1.92it/s]\n 97%|█████████▋| 34/35 [00:17<00:00, 1.92it/s]\n100%|██████████| 35/35 [00:18<00:00, 1.92it/s]\n100%|██████████| 35/35 [00:18<00:00, 1.93it/s]\nPotential NSFW content was detected in one or more images. A black image will be returned instead. Try again with a different prompt and/or seed.\nNSFW content detected in image 0", "metrics": { "predict_time": 31.042999257, "total_time": 31.049694 }, "output": [ "https://replicate.delivery/yhqm/s2tvdKE2SPKjMF3ntqH3KuaCIae9xs22kLnw5e2MsZ9y4tYTA/out-1.png" ], "started_at": "2024-09-02T03:08:03.735695Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/tjdefthd25rm40chp2ta2s6q2r", "cancel": "https://api.replicate.com/v1/predictions/tjdefthd25rm40chp2ta2s6q2r/cancel" }, "version": "14d7e5934a0744925391ef6b5e1453a4bb3d7559a7dc689427f940fb92cb9f42" }
Generated inUsing seed: 2257 Prompt: a photo of ROX, a woman with a nose piercing, wearing a black shirt and earrings, looking at the camera with a smirk on her face txt2img mode Using dev model free=9484248555520 Downloading weights 2024-09-02T03:08:03Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmp0l9_wo1j/weights url=https://replicate.delivery/yhqm/TpL2jrBDzeSjekdXFzDcQeNjv6eOTwmXunlFd11tutvmd2iNB/trained_model.tar 2024-09-02T03:08:07Z | INFO | [ Complete ] dest=/tmp/tmp0l9_wo1j/weights size="172 MB" total_elapsed=3.596s url=https://replicate.delivery/yhqm/TpL2jrBDzeSjekdXFzDcQeNjv6eOTwmXunlFd11tutvmd2iNB/trained_model.tar Downloaded weights in 3.63s Loaded LoRAs in 11.85s 0%| | 0/35 [00:00<?, ?it/s] 3%|▎ | 1/35 [00:00<00:17, 1.93it/s] 6%|▌ | 2/35 [00:00<00:14, 2.21it/s] 9%|▊ | 3/35 [00:01<00:15, 2.07it/s] 11%|█▏ | 4/35 [00:01<00:15, 2.01it/s] 14%|█▍ | 5/35 [00:02<00:15, 1.97it/s] 17%|█▋ | 6/35 [00:03<00:14, 1.96it/s] 20%|██ | 7/35 [00:03<00:14, 1.94it/s] 23%|██▎ | 8/35 [00:04<00:13, 1.94it/s] 26%|██▌ | 9/35 [00:04<00:13, 1.93it/s] 29%|██▊ | 10/35 [00:05<00:12, 1.93it/s] 31%|███▏ | 11/35 [00:05<00:12, 1.92it/s] 34%|███▍ | 12/35 [00:06<00:11, 1.92it/s] 37%|███▋ | 13/35 [00:06<00:11, 1.92it/s] 40%|████ | 14/35 [00:07<00:10, 1.92it/s] 43%|████▎ | 15/35 [00:07<00:10, 1.92it/s] 46%|████▌ | 16/35 [00:08<00:09, 1.92it/s] 49%|████▊ | 17/35 [00:08<00:09, 1.92it/s] 51%|█████▏ | 18/35 [00:09<00:08, 1.92it/s] 54%|█████▍ | 19/35 [00:09<00:08, 1.92it/s] 57%|█████▋ | 20/35 [00:10<00:07, 1.92it/s] 60%|██████ | 21/35 [00:10<00:07, 1.92it/s] 63%|██████▎ | 22/35 [00:11<00:06, 1.92it/s] 66%|██████▌ | 23/35 [00:11<00:06, 1.92it/s] 69%|██████▊ | 24/35 [00:12<00:05, 1.92it/s] 71%|███████▏ | 25/35 [00:12<00:05, 1.92it/s] 74%|███████▍ | 26/35 [00:13<00:04, 1.92it/s] 77%|███████▋ | 27/35 [00:13<00:04, 1.92it/s] 80%|████████ | 28/35 [00:14<00:03, 1.92it/s] 83%|████████▎ | 29/35 [00:14<00:03, 1.92it/s] 86%|████████▌ | 30/35 [00:15<00:02, 1.92it/s] 89%|████████▊ | 31/35 [00:16<00:02, 1.92it/s] 91%|█████████▏| 32/35 [00:16<00:01, 1.92it/s] 94%|█████████▍| 33/35 [00:17<00:01, 1.92it/s] 97%|█████████▋| 34/35 [00:17<00:00, 1.92it/s] 100%|██████████| 35/35 [00:18<00:00, 1.92it/s] 100%|██████████| 35/35 [00:18<00:00, 1.93it/s] Potential NSFW content was detected in one or more images. A black image will be returned instead. Try again with a different prompt and/or seed. NSFW content detected in image 0
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