underthestar2021/hello_flat_anime

Prediction
underthestar2021/hello_flat_anime:94e2636d948604782044495187f719605927cc754fa602d0a49ba286f54978fdIDt5y7msrbyyogpqf6but3p4rsqaStatusSucceededSourceWebHardwareT4Total durationCreatedInput
- seed
- 3747631758
- prompt
- <lora:h4l0w3n5l0w5tyl3M3rg34ll:1> h4l0w3n5l0w5tyl3M3rg34ll Ties
- ai_random
- ai_random
- clip_skip
- 2
- pipe_type
- img2img
- scheduler
- DPM++ 2M Karras
- num_outputs
- 4
- resize_mode
- fill
- target_width
- 512
- target_height
- 720
- callback_steps
- 4
- guidance_scale
- 5
- controlnet_type
- canny
- negative_prompt
- (worst quality:1.4), (low quality:1.4), (normal quality:1.4), ((female pubic hair:1.3)), lowres,beast,bestiality,
- prompt_strength
- 0.62
- show_system_info
- swap_face_enable
- controlnet_enable
- face_editor_enable
- canny_low_threshold
- 100
- codeformer_fidelity
- 0.7
- num_inference_steps
- 26
- restore_face_enable
- canny_high_threshold
- 200
- control_guidance_end
- 1
- firebase_api_version
- 4
- lora_model_extra_url
- https://civitai.com/models/174065?modelVersionId=195436
- restore_face_upscale
- 1
- cross_attention_scale
- 1
- face_editor_mask_blur
- 12
- face_editor_mask_size
- 6
- face_editor_strength1
- 0.4
- face_editor_strength2
- 0.05
- restore_face_upsample
- control_guidance_start
- 0
- face_editor_confidence
- 0.97
- controlnet_conditioning_scale
- 0.73
- restore_face_background_enhance
{ "seed": 3747631758, "prompt": "<lora:h4l0w3n5l0w5tyl3M3rg34ll:1> h4l0w3n5l0w5tyl3M3rg34ll Ties", "ai_random": "ai_random", "clip_skip": 2, "pipe_type": "img2img", "scheduler": "DPM++ 2M Karras", "face_image": "https://replicate.delivery/pbxt/JlQyDPLX5e6UF1Vcrkvzs4hetGUZNyeu8KNSyH9GtYBVkM0M/replicate-prediction-7iu7ywbcgvfxcpsznjondiybra.png", "num_outputs": 4, "resize_mode": "fill", "target_width": 512, "target_height": 720, "callback_steps": 4, "guidance_scale": 5, "controlnet_type": "canny", "negative_prompt": "(worst quality:1.4), (low quality:1.4), (normal quality:1.4), ((female pubic hair:1.3)), lowres,beast,bestiality,", "prompt_strength": 0.62, "show_system_info": false, "swap_face_enable": false, "controlnet_enable": false, "face_editor_enable": false, "canny_low_threshold": 100, "codeformer_fidelity": 0.7, "num_inference_steps": 26, "restore_face_enable": false, "canny_high_threshold": 200, "control_guidance_end": 1, "firebase_api_version": 4, "lora_model_extra_url": "https://civitai.com/models/174065?modelVersionId=195436", "restore_face_upscale": 1, "cross_attention_scale": 1, "face_editor_mask_blur": 12, "face_editor_mask_size": 6, "face_editor_strength1": 0.4, "face_editor_strength2": 0.05, "restore_face_upsample": true, "control_guidance_start": 0, "face_editor_confidence": 0.97, "controlnet_conditioning_scale": 0.73, "restore_face_background_enhance": true }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run underthestar2021/hello_flat_anime using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "underthestar2021/hello_flat_anime:94e2636d948604782044495187f719605927cc754fa602d0a49ba286f54978fd", { input: { seed: 3747631758, prompt: "<lora:h4l0w3n5l0w5tyl3M3rg34ll:1> h4l0w3n5l0w5tyl3M3rg34ll Ties", ai_random: "ai_random", clip_skip: 2, pipe_type: "img2img", scheduler: "DPM++ 2M Karras", face_image: "https://replicate.delivery/pbxt/JlQyDPLX5e6UF1Vcrkvzs4hetGUZNyeu8KNSyH9GtYBVkM0M/replicate-prediction-7iu7ywbcgvfxcpsznjondiybra.png", num_outputs: 4, resize_mode: "fill", target_width: 512, target_height: 720, callback_steps: 4, guidance_scale: 5, controlnet_type: "canny", negative_prompt: "(worst quality:1.4), (low quality:1.4), (normal quality:1.4), ((female pubic hair:1.3)), lowres,beast,bestiality,", prompt_strength: 0.62, show_system_info: false, swap_face_enable: false, controlnet_enable: false, face_editor_enable: false, canny_low_threshold: 100, codeformer_fidelity: 0.7, num_inference_steps: 26, restore_face_enable: false, canny_high_threshold: 200, control_guidance_end: 1, firebase_api_version: 4, lora_model_extra_url: "https://civitai.com/models/174065?modelVersionId=195436", restore_face_upscale: 1, cross_attention_scale: 1, face_editor_mask_blur: 12, face_editor_mask_size: 6, face_editor_strength1: 0.4, face_editor_strength2: 0.05, restore_face_upsample: true, control_guidance_start: 0, face_editor_confidence: 0.97, controlnet_conditioning_scale: 0.73, restore_face_background_enhance: true } } ); // 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 underthestar2021/hello_flat_anime using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "underthestar2021/hello_flat_anime:94e2636d948604782044495187f719605927cc754fa602d0a49ba286f54978fd", input={ "seed": 3747631758, "prompt": "<lora:h4l0w3n5l0w5tyl3M3rg34ll:1> h4l0w3n5l0w5tyl3M3rg34ll Ties", "ai_random": "ai_random", "clip_skip": 2, "pipe_type": "img2img", "scheduler": "DPM++ 2M Karras", "face_image": "https://replicate.delivery/pbxt/JlQyDPLX5e6UF1Vcrkvzs4hetGUZNyeu8KNSyH9GtYBVkM0M/replicate-prediction-7iu7ywbcgvfxcpsznjondiybra.png", "num_outputs": 4, "resize_mode": "fill", "target_width": 512, "target_height": 720, "callback_steps": 4, "guidance_scale": 5, "controlnet_type": "canny", "negative_prompt": "(worst quality:1.4), (low quality:1.4), (normal quality:1.4), ((female pubic hair:1.3)), lowres,beast,bestiality,", "prompt_strength": 0.62, "show_system_info": False, "swap_face_enable": False, "controlnet_enable": False, "face_editor_enable": False, "canny_low_threshold": 100, "codeformer_fidelity": 0.7, "num_inference_steps": 26, "restore_face_enable": False, "canny_high_threshold": 200, "control_guidance_end": 1, "firebase_api_version": 4, "lora_model_extra_url": "https://civitai.com/models/174065?modelVersionId=195436", "restore_face_upscale": 1, "cross_attention_scale": 1, "face_editor_mask_blur": 12, "face_editor_mask_size": 6, "face_editor_strength1": 0.4, "face_editor_strength2": 0.05, "restore_face_upsample": True, "control_guidance_start": 0, "face_editor_confidence": 0.97, "controlnet_conditioning_scale": 0.73, "restore_face_background_enhance": True } ) # To access the file URL: print(output[0].url()) #=> "http://example.com" # To write the file to disk: with open("my-image.png", "wb") as file: file.write(output[0].read())
To learn more, take a look at the guide on getting started with Python.
Run underthestar2021/hello_flat_anime 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": "underthestar2021/hello_flat_anime:94e2636d948604782044495187f719605927cc754fa602d0a49ba286f54978fd", "input": { "seed": 3747631758, "prompt": "<lora:h4l0w3n5l0w5tyl3M3rg34ll:1> h4l0w3n5l0w5tyl3M3rg34ll Ties", "ai_random": "ai_random", "clip_skip": 2, "pipe_type": "img2img", "scheduler": "DPM++ 2M Karras", "face_image": "https://replicate.delivery/pbxt/JlQyDPLX5e6UF1Vcrkvzs4hetGUZNyeu8KNSyH9GtYBVkM0M/replicate-prediction-7iu7ywbcgvfxcpsznjondiybra.png", "num_outputs": 4, "resize_mode": "fill", "target_width": 512, "target_height": 720, "callback_steps": 4, "guidance_scale": 5, "controlnet_type": "canny", "negative_prompt": "(worst quality:1.4), (low quality:1.4), (normal quality:1.4), ((female pubic hair:1.3)), lowres,beast,bestiality,", "prompt_strength": 0.62, "show_system_info": false, "swap_face_enable": false, "controlnet_enable": false, "face_editor_enable": false, "canny_low_threshold": 100, "codeformer_fidelity": 0.7, "num_inference_steps": 26, "restore_face_enable": false, "canny_high_threshold": 200, "control_guidance_end": 1, "firebase_api_version": 4, "lora_model_extra_url": "https://civitai.com/models/174065?modelVersionId=195436", "restore_face_upscale": 1, "cross_attention_scale": 1, "face_editor_mask_blur": 12, "face_editor_mask_size": 6, "face_editor_strength1": 0.4, "face_editor_strength2": 0.05, "restore_face_upsample": true, "control_guidance_start": 0, "face_editor_confidence": 0.97, "controlnet_conditioning_scale": 0.73, "restore_face_background_enhance": true } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-10-26T02:49:03.113511Z", "created_at": "2023-10-26T02:48:24.388729Z", "data_removed": false, "error": null, "id": "t5y7msrbyyogpqf6but3p4rsqa", "input": { "seed": 3747631758, "prompt": "<lora:h4l0w3n5l0w5tyl3M3rg34ll:1> h4l0w3n5l0w5tyl3M3rg34ll Ties", "ai_random": "ai_random", "clip_skip": 2, "pipe_type": "img2img", "scheduler": "DPM++ 2M Karras", "face_image": "https://replicate.delivery/pbxt/JlQyDPLX5e6UF1Vcrkvzs4hetGUZNyeu8KNSyH9GtYBVkM0M/replicate-prediction-7iu7ywbcgvfxcpsznjondiybra.png", "num_outputs": 4, "resize_mode": "fill", "target_width": 512, "target_height": 720, "callback_steps": 4, "guidance_scale": 5, "controlnet_type": "canny", "negative_prompt": "(worst quality:1.4), (low quality:1.4), (normal quality:1.4), ((female pubic hair:1.3)), lowres,beast,bestiality,", "prompt_strength": 0.62, "show_system_info": false, "swap_face_enable": false, "controlnet_enable": false, "face_editor_enable": false, "canny_low_threshold": 100, "codeformer_fidelity": 0.7, "num_inference_steps": 26, "restore_face_enable": false, "canny_high_threshold": 200, "control_guidance_end": 1, "firebase_api_version": 4, "lora_model_extra_url": "https://civitai.com/models/174065?modelVersionId=195436", "restore_face_upscale": 1, "cross_attention_scale": 1, "face_editor_mask_blur": 12, "face_editor_mask_size": 6, "face_editor_strength1": 0.4, "face_editor_strength2": 0.05, "restore_face_upsample": true, "control_guidance_start": 0, "face_editor_confidence": 0.97, "controlnet_conditioning_scale": 0.73, "restore_face_background_enhance": true }, "logs": "Using seed: 3747631758\nLoading another pipe:img2img\nYou have disabled the safety checker for <class 'diffusers.pipelines.controlnet.pipeline_controlnet_img2img.StableDiffusionControlNetImg2ImgPipeline'> by passing `safety_checker=None`. Ensure that you abide to the conditions of the Stable Diffusion license and do not expose unfiltered results in services or applications open to the public. Both the diffusers team and Hugging Face strongly recommend to keep the safety filter enabled in all public facing circumstances, disabling it only for use-cases that involve analyzing network behavior or auditing its results. For more information, please have a look at https://github.com/huggingface/diffusers/pull/254 .\nPipe loaded: img2img\nSafety checker disabled: True\ncheck cf info\ncheck cf info took 208 ms\nModel 15a211a879ef38a34c0cf4fa9e6b8baf0507c216 already exists, skip downloading.\nUsing LoRA model: 15a211a879ef38a34c0cf4fa9e6b8baf0507c216:1.0\nInput image size: 512x720\n 0%| | 0/16 [00:00<?, ?it/s]\n 6%|▋ | 1/16 [00:00<00:05, 2.91it/s]\n 12%|█▎ | 2/16 [00:00<00:04, 2.92it/s]\n 19%|█▉ | 3/16 [00:01<00:04, 2.91it/s]\n 25%|██▌ | 4/16 [00:01<00:04, 2.91it/s]\n 31%|███▏ | 5/16 [00:01<00:03, 2.93it/s]\n 38%|███▊ | 6/16 [00:02<00:03, 2.91it/s]\n 44%|████▍ | 7/16 [00:02<00:03, 2.91it/s]\n 50%|█████ | 8/16 [00:02<00:02, 2.92it/s]\n 56%|█████▋ | 9/16 [00:03<00:02, 2.90it/s]\n 62%|██████▎ | 10/16 [00:03<00:02, 2.90it/s]\n 69%|██████▉ | 11/16 [00:03<00:01, 2.90it/s]\n 75%|███████▌ | 12/16 [00:04<00:01, 2.90it/s]\n 81%|████████▏ | 13/16 [00:04<00:01, 2.90it/s]\n 88%|████████▊ | 14/16 [00:04<00:00, 2.90it/s]\n 94%|█████████▍| 15/16 [00:05<00:00, 2.90it/s]\n100%|██████████| 16/16 [00:05<00:00, 2.90it/s]\n100%|██████████| 16/16 [00:05<00:00, 2.90it/s]\n 0%| | 0/16 [00:00<?, ?it/s]\n 6%|▋ | 1/16 [00:00<00:05, 2.88it/s]\n 12%|█▎ | 2/16 [00:00<00:04, 2.87it/s]\n 19%|█▉ | 3/16 [00:01<00:04, 2.87it/s]\n 25%|██▌ | 4/16 [00:01<00:04, 2.89it/s]\n 31%|███▏ | 5/16 [00:01<00:03, 2.89it/s]\n 38%|███▊ | 6/16 [00:02<00:03, 2.88it/s]\n 44%|████▍ | 7/16 [00:02<00:03, 2.88it/s]\n 50%|█████ | 8/16 [00:02<00:02, 2.88it/s]\n 56%|█████▋ | 9/16 [00:03<00:02, 2.87it/s]\n 62%|██████▎ | 10/16 [00:03<00:02, 2.88it/s]\n 69%|██████▉ | 11/16 [00:03<00:01, 2.88it/s]\n 75%|███████▌ | 12/16 [00:04<00:01, 2.87it/s]\n 81%|████████▏ | 13/16 [00:04<00:01, 2.87it/s]\n 88%|████████▊ | 14/16 [00:04<00:00, 2.87it/s]\n 94%|█████████▍| 15/16 [00:05<00:00, 2.87it/s]\n100%|██████████| 16/16 [00:05<00:00, 2.87it/s]\n100%|██████████| 16/16 [00:05<00:00, 2.87it/s]\n 0%| | 0/16 [00:00<?, ?it/s]\n 6%|▋ | 1/16 [00:00<00:05, 2.85it/s]\n 12%|█▎ | 2/16 [00:00<00:04, 2.84it/s]\n 19%|█▉ | 3/16 [00:01<00:04, 2.84it/s]\n 25%|██▌ | 4/16 [00:01<00:04, 2.85it/s]\n 31%|███▏ | 5/16 [00:01<00:03, 2.83it/s]\n 38%|███▊ | 6/16 [00:02<00:03, 2.84it/s]\n 44%|████▍ | 7/16 [00:02<00:03, 2.84it/s]\n 50%|█████ | 8/16 [00:02<00:02, 2.84it/s]\n 56%|█████▋ | 9/16 [00:03<00:02, 2.84it/s]\n 62%|██████▎ | 10/16 [00:03<00:02, 2.84it/s]\n 69%|██████▉ | 11/16 [00:03<00:01, 2.84it/s]\n 75%|███████▌ | 12/16 [00:04<00:01, 2.84it/s]\n 81%|████████▏ | 13/16 [00:04<00:01, 2.84it/s]\n 88%|████████▊ | 14/16 [00:04<00:00, 2.84it/s]\n 94%|█████████▍| 15/16 [00:05<00:00, 2.83it/s]\n100%|██████████| 16/16 [00:05<00:00, 2.83it/s]\n100%|██████████| 16/16 [00:05<00:00, 2.84it/s]\n 0%| | 0/16 [00:00<?, ?it/s]\n 6%|▋ | 1/16 [00:00<00:05, 2.81it/s]\n 12%|█▎ | 2/16 [00:00<00:04, 2.84it/s]\n 19%|█▉ | 3/16 [00:01<00:04, 2.82it/s]\n 25%|██▌ | 4/16 [00:01<00:04, 2.84it/s]\n 31%|███▏ | 5/16 [00:01<00:03, 2.83it/s]\n 38%|███▊ | 6/16 [00:02<00:03, 2.83it/s]\n 44%|████▍ | 7/16 [00:02<00:03, 2.82it/s]\n 50%|█████ | 8/16 [00:02<00:02, 2.83it/s]\n 56%|█████▋ | 9/16 [00:03<00:02, 2.82it/s]\n 62%|██████▎ | 10/16 [00:03<00:02, 2.83it/s]\n 69%|██████▉ | 11/16 [00:03<00:01, 2.82it/s]\n 75%|███████▌ | 12/16 [00:04<00:01, 2.82it/s]\n 81%|████████▏ | 13/16 [00:04<00:01, 2.81it/s]\n 88%|████████▊ | 14/16 [00:04<00:00, 2.82it/s]\n 94%|█████████▍| 15/16 [00:05<00:00, 2.81it/s]\n100%|██████████| 16/16 [00:05<00:00, 2.80it/s]\n100%|██████████| 16/16 [00:05<00:00, 2.82it/s]", "metrics": { "predict_time": 38.780173, "total_time": 38.724782 }, "output": [ "https://replicate.delivery/pbxt/4htycMTpAQJFOd8AaIZQUQ52Yufyxa42tlUFX4hjzJHOL84IA/out-0-0.png", "https://replicate.delivery/pbxt/71ETO9QcfJQuTKBx64yQQEskAxc2qB5nJGeNXhcxGep7swjjA/out-0-1.png", "https://replicate.delivery/pbxt/j83WI0hlONLGLdHbngbx1yFA9LxvVkOSXmmgvtZvuydnFe4IA/out-0-2.png", "https://replicate.delivery/pbxt/22yIywvgrl72D9FVTvemgiragDuisryFHuCdNgCqh3PPL84IA/out-0-3.png" ], "started_at": "2023-10-26T02:48:24.333338Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/t5y7msrbyyogpqf6but3p4rsqa", "cancel": "https://api.replicate.com/v1/predictions/t5y7msrbyyogpqf6but3p4rsqa/cancel" }, "version": "94e2636d948604782044495187f719605927cc754fa602d0a49ba286f54978fd" }
Generated inUsing seed: 3747631758 Loading another pipe:img2img You have disabled the safety checker for <class 'diffusers.pipelines.controlnet.pipeline_controlnet_img2img.StableDiffusionControlNetImg2ImgPipeline'> by passing `safety_checker=None`. Ensure that you abide to the conditions of the Stable Diffusion license and do not expose unfiltered results in services or applications open to the public. Both the diffusers team and Hugging Face strongly recommend to keep the safety filter enabled in all public facing circumstances, disabling it only for use-cases that involve analyzing network behavior or auditing its results. For more information, please have a look at https://github.com/huggingface/diffusers/pull/254 . Pipe loaded: img2img Safety checker disabled: True check cf info check cf info took 208 ms Model 15a211a879ef38a34c0cf4fa9e6b8baf0507c216 already exists, skip downloading. Using LoRA model: 15a211a879ef38a34c0cf4fa9e6b8baf0507c216:1.0 Input image size: 512x720 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:05, 2.91it/s] 12%|█▎ | 2/16 [00:00<00:04, 2.92it/s] 19%|█▉ | 3/16 [00:01<00:04, 2.91it/s] 25%|██▌ | 4/16 [00:01<00:04, 2.91it/s] 31%|███▏ | 5/16 [00:01<00:03, 2.93it/s] 38%|███▊ | 6/16 [00:02<00:03, 2.91it/s] 44%|████▍ | 7/16 [00:02<00:03, 2.91it/s] 50%|█████ | 8/16 [00:02<00:02, 2.92it/s] 56%|█████▋ | 9/16 [00:03<00:02, 2.90it/s] 62%|██████▎ | 10/16 [00:03<00:02, 2.90it/s] 69%|██████▉ | 11/16 [00:03<00:01, 2.90it/s] 75%|███████▌ | 12/16 [00:04<00:01, 2.90it/s] 81%|████████▏ | 13/16 [00:04<00:01, 2.90it/s] 88%|████████▊ | 14/16 [00:04<00:00, 2.90it/s] 94%|█████████▍| 15/16 [00:05<00:00, 2.90it/s] 100%|██████████| 16/16 [00:05<00:00, 2.90it/s] 100%|██████████| 16/16 [00:05<00:00, 2.90it/s] 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:05, 2.88it/s] 12%|█▎ | 2/16 [00:00<00:04, 2.87it/s] 19%|█▉ | 3/16 [00:01<00:04, 2.87it/s] 25%|██▌ | 4/16 [00:01<00:04, 2.89it/s] 31%|███▏ | 5/16 [00:01<00:03, 2.89it/s] 38%|███▊ | 6/16 [00:02<00:03, 2.88it/s] 44%|████▍ | 7/16 [00:02<00:03, 2.88it/s] 50%|█████ | 8/16 [00:02<00:02, 2.88it/s] 56%|█████▋ | 9/16 [00:03<00:02, 2.87it/s] 62%|██████▎ | 10/16 [00:03<00:02, 2.88it/s] 69%|██████▉ | 11/16 [00:03<00:01, 2.88it/s] 75%|███████▌ | 12/16 [00:04<00:01, 2.87it/s] 81%|████████▏ | 13/16 [00:04<00:01, 2.87it/s] 88%|████████▊ | 14/16 [00:04<00:00, 2.87it/s] 94%|█████████▍| 15/16 [00:05<00:00, 2.87it/s] 100%|██████████| 16/16 [00:05<00:00, 2.87it/s] 100%|██████████| 16/16 [00:05<00:00, 2.87it/s] 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:05, 2.85it/s] 12%|█▎ | 2/16 [00:00<00:04, 2.84it/s] 19%|█▉ | 3/16 [00:01<00:04, 2.84it/s] 25%|██▌ | 4/16 [00:01<00:04, 2.85it/s] 31%|███▏ | 5/16 [00:01<00:03, 2.83it/s] 38%|███▊ | 6/16 [00:02<00:03, 2.84it/s] 44%|████▍ | 7/16 [00:02<00:03, 2.84it/s] 50%|█████ | 8/16 [00:02<00:02, 2.84it/s] 56%|█████▋ | 9/16 [00:03<00:02, 2.84it/s] 62%|██████▎ | 10/16 [00:03<00:02, 2.84it/s] 69%|██████▉ | 11/16 [00:03<00:01, 2.84it/s] 75%|███████▌ | 12/16 [00:04<00:01, 2.84it/s] 81%|████████▏ | 13/16 [00:04<00:01, 2.84it/s] 88%|████████▊ | 14/16 [00:04<00:00, 2.84it/s] 94%|█████████▍| 15/16 [00:05<00:00, 2.83it/s] 100%|██████████| 16/16 [00:05<00:00, 2.83it/s] 100%|██████████| 16/16 [00:05<00:00, 2.84it/s] 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:05, 2.81it/s] 12%|█▎ | 2/16 [00:00<00:04, 2.84it/s] 19%|█▉ | 3/16 [00:01<00:04, 2.82it/s] 25%|██▌ | 4/16 [00:01<00:04, 2.84it/s] 31%|███▏ | 5/16 [00:01<00:03, 2.83it/s] 38%|███▊ | 6/16 [00:02<00:03, 2.83it/s] 44%|████▍ | 7/16 [00:02<00:03, 2.82it/s] 50%|█████ | 8/16 [00:02<00:02, 2.83it/s] 56%|█████▋ | 9/16 [00:03<00:02, 2.82it/s] 62%|██████▎ | 10/16 [00:03<00:02, 2.83it/s] 69%|██████▉ | 11/16 [00:03<00:01, 2.82it/s] 75%|███████▌ | 12/16 [00:04<00:01, 2.82it/s] 81%|████████▏ | 13/16 [00:04<00:01, 2.81it/s] 88%|████████▊ | 14/16 [00:04<00:00, 2.82it/s] 94%|█████████▍| 15/16 [00:05<00:00, 2.81it/s] 100%|██████████| 16/16 [00:05<00:00, 2.80it/s] 100%|██████████| 16/16 [00:05<00:00, 2.82it/s]
Prediction
underthestar2021/hello_flat_anime:94e2636d948604782044495187f719605927cc754fa602d0a49ba286f54978fdIDftgs6lbbrv53foghivrcr67vyeStatusSucceededSourceWebHardwareT4Total durationCreatedInput
- seed
- -1
- prompt
- <lora:h4l0w3n5l0w5tyl3M3rg34ll:1> h4l0w3n5l0w5tyl3M3rg34ll Ties
- ai_random
- ai_random
- clip_skip
- 2
- pipe_type
- img2img
- scheduler
- DPM++ 2M Karras
- num_outputs
- 4
- resize_mode
- fill
- target_width
- 512
- target_height
- 720
- callback_steps
- 4
- guidance_scale
- 5
- controlnet_type
- canny
- negative_prompt
- (worst quality:1.4), (low quality:1.4), (normal quality:1.4), ((female pubic hair:1.3)), lowres,beast,bestiality,
- prompt_strength
- 0.62
- show_system_info
- swap_face_enable
- controlnet_enable
- face_editor_enable
- canny_low_threshold
- 100
- codeformer_fidelity
- 0.7
- num_inference_steps
- 26
- restore_face_enable
- canny_high_threshold
- 200
- control_guidance_end
- 1
- firebase_api_version
- 4
- lora_model_extra_url
- https://civitai.com/models/174065?modelVersionId=195436
- restore_face_upscale
- 1
- cross_attention_scale
- 0.2
- face_editor_mask_blur
- 12
- face_editor_mask_size
- 6
- face_editor_strength1
- 0.4
- face_editor_strength2
- 0.05
- restore_face_upsample
- control_guidance_start
- 0
- face_editor_confidence
- 0.97
- controlnet_conditioning_scale
- 0.73
- restore_face_background_enhance
{ "seed": -1, "prompt": "<lora:h4l0w3n5l0w5tyl3M3rg34ll:1> h4l0w3n5l0w5tyl3M3rg34ll Ties", "ai_random": "ai_random", "clip_skip": 2, "pipe_type": "img2img", "scheduler": "DPM++ 2M Karras", "face_image": "https://replicate.delivery/pbxt/JlSLIqQSiK69soZFBhVtZaSrm1NjDCYyb7nLV4cFkb8Xp3Sr/szvoreny-attila-Z_DjhwOUvTw-unsplash.jpg", "num_outputs": 4, "resize_mode": "fill", "target_width": 512, "target_height": 720, "callback_steps": 4, "guidance_scale": 5, "controlnet_type": "canny", "negative_prompt": "(worst quality:1.4), (low quality:1.4), (normal quality:1.4), ((female pubic hair:1.3)), lowres,beast,bestiality,", "prompt_strength": 0.62, "show_system_info": false, "swap_face_enable": false, "controlnet_enable": false, "face_editor_enable": false, "canny_low_threshold": 100, "codeformer_fidelity": 0.7, "num_inference_steps": 26, "restore_face_enable": false, "canny_high_threshold": 200, "control_guidance_end": 1, "firebase_api_version": 4, "lora_model_extra_url": "https://civitai.com/models/174065?modelVersionId=195436", "restore_face_upscale": 1, "cross_attention_scale": 0.2, "face_editor_mask_blur": 12, "face_editor_mask_size": 6, "face_editor_strength1": 0.4, "face_editor_strength2": 0.05, "restore_face_upsample": true, "control_guidance_start": 0, "face_editor_confidence": 0.97, "controlnet_conditioning_scale": 0.73, "restore_face_background_enhance": true }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run underthestar2021/hello_flat_anime using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "underthestar2021/hello_flat_anime:94e2636d948604782044495187f719605927cc754fa602d0a49ba286f54978fd", { input: { seed: -1, prompt: "<lora:h4l0w3n5l0w5tyl3M3rg34ll:1> h4l0w3n5l0w5tyl3M3rg34ll Ties", ai_random: "ai_random", clip_skip: 2, pipe_type: "img2img", scheduler: "DPM++ 2M Karras", face_image: "https://replicate.delivery/pbxt/JlSLIqQSiK69soZFBhVtZaSrm1NjDCYyb7nLV4cFkb8Xp3Sr/szvoreny-attila-Z_DjhwOUvTw-unsplash.jpg", num_outputs: 4, resize_mode: "fill", target_width: 512, target_height: 720, callback_steps: 4, guidance_scale: 5, controlnet_type: "canny", negative_prompt: "(worst quality:1.4), (low quality:1.4), (normal quality:1.4), ((female pubic hair:1.3)), lowres,beast,bestiality,", prompt_strength: 0.62, show_system_info: false, swap_face_enable: false, controlnet_enable: false, face_editor_enable: false, canny_low_threshold: 100, codeformer_fidelity: 0.7, num_inference_steps: 26, restore_face_enable: false, canny_high_threshold: 200, control_guidance_end: 1, firebase_api_version: 4, lora_model_extra_url: "https://civitai.com/models/174065?modelVersionId=195436", restore_face_upscale: 1, cross_attention_scale: 0.2, face_editor_mask_blur: 12, face_editor_mask_size: 6, face_editor_strength1: 0.4, face_editor_strength2: 0.05, restore_face_upsample: true, control_guidance_start: 0, face_editor_confidence: 0.97, controlnet_conditioning_scale: 0.73, restore_face_background_enhance: true } } ); // 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 underthestar2021/hello_flat_anime using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "underthestar2021/hello_flat_anime:94e2636d948604782044495187f719605927cc754fa602d0a49ba286f54978fd", input={ "seed": -1, "prompt": "<lora:h4l0w3n5l0w5tyl3M3rg34ll:1> h4l0w3n5l0w5tyl3M3rg34ll Ties", "ai_random": "ai_random", "clip_skip": 2, "pipe_type": "img2img", "scheduler": "DPM++ 2M Karras", "face_image": "https://replicate.delivery/pbxt/JlSLIqQSiK69soZFBhVtZaSrm1NjDCYyb7nLV4cFkb8Xp3Sr/szvoreny-attila-Z_DjhwOUvTw-unsplash.jpg", "num_outputs": 4, "resize_mode": "fill", "target_width": 512, "target_height": 720, "callback_steps": 4, "guidance_scale": 5, "controlnet_type": "canny", "negative_prompt": "(worst quality:1.4), (low quality:1.4), (normal quality:1.4), ((female pubic hair:1.3)), lowres,beast,bestiality,", "prompt_strength": 0.62, "show_system_info": False, "swap_face_enable": False, "controlnet_enable": False, "face_editor_enable": False, "canny_low_threshold": 100, "codeformer_fidelity": 0.7, "num_inference_steps": 26, "restore_face_enable": False, "canny_high_threshold": 200, "control_guidance_end": 1, "firebase_api_version": 4, "lora_model_extra_url": "https://civitai.com/models/174065?modelVersionId=195436", "restore_face_upscale": 1, "cross_attention_scale": 0.2, "face_editor_mask_blur": 12, "face_editor_mask_size": 6, "face_editor_strength1": 0.4, "face_editor_strength2": 0.05, "restore_face_upsample": True, "control_guidance_start": 0, "face_editor_confidence": 0.97, "controlnet_conditioning_scale": 0.73, "restore_face_background_enhance": True } ) # To access the file URL: print(output[0].url()) #=> "http://example.com" # To write the file to disk: with open("my-image.png", "wb") as file: file.write(output[0].read())
To learn more, take a look at the guide on getting started with Python.
Run underthestar2021/hello_flat_anime 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": "underthestar2021/hello_flat_anime:94e2636d948604782044495187f719605927cc754fa602d0a49ba286f54978fd", "input": { "seed": -1, "prompt": "<lora:h4l0w3n5l0w5tyl3M3rg34ll:1> h4l0w3n5l0w5tyl3M3rg34ll Ties", "ai_random": "ai_random", "clip_skip": 2, "pipe_type": "img2img", "scheduler": "DPM++ 2M Karras", "face_image": "https://replicate.delivery/pbxt/JlSLIqQSiK69soZFBhVtZaSrm1NjDCYyb7nLV4cFkb8Xp3Sr/szvoreny-attila-Z_DjhwOUvTw-unsplash.jpg", "num_outputs": 4, "resize_mode": "fill", "target_width": 512, "target_height": 720, "callback_steps": 4, "guidance_scale": 5, "controlnet_type": "canny", "negative_prompt": "(worst quality:1.4), (low quality:1.4), (normal quality:1.4), ((female pubic hair:1.3)), lowres,beast,bestiality,", "prompt_strength": 0.62, "show_system_info": false, "swap_face_enable": false, "controlnet_enable": false, "face_editor_enable": false, "canny_low_threshold": 100, "codeformer_fidelity": 0.7, "num_inference_steps": 26, "restore_face_enable": false, "canny_high_threshold": 200, "control_guidance_end": 1, "firebase_api_version": 4, "lora_model_extra_url": "https://civitai.com/models/174065?modelVersionId=195436", "restore_face_upscale": 1, "cross_attention_scale": 0.2, "face_editor_mask_blur": 12, "face_editor_mask_size": 6, "face_editor_strength1": 0.4, "face_editor_strength2": 0.05, "restore_face_upsample": true, "control_guidance_start": 0, "face_editor_confidence": 0.97, "controlnet_conditioning_scale": 0.73, "restore_face_background_enhance": true } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
{ "completed_at": "2023-10-26T02:54:11.498157Z", "created_at": "2023-10-26T02:53:31.071004Z", "data_removed": false, "error": null, "id": "ftgs6lbbrv53foghivrcr67vye", "input": { "seed": -1, "prompt": "<lora:h4l0w3n5l0w5tyl3M3rg34ll:1> h4l0w3n5l0w5tyl3M3rg34ll Ties", "ai_random": "ai_random", "clip_skip": 2, "pipe_type": "img2img", "scheduler": "DPM++ 2M Karras", "face_image": "https://replicate.delivery/pbxt/JlSLIqQSiK69soZFBhVtZaSrm1NjDCYyb7nLV4cFkb8Xp3Sr/szvoreny-attila-Z_DjhwOUvTw-unsplash.jpg", "num_outputs": 4, "resize_mode": "fill", "target_width": 512, "target_height": 720, "callback_steps": 4, "guidance_scale": 5, "controlnet_type": "canny", "negative_prompt": "(worst quality:1.4), (low quality:1.4), (normal quality:1.4), ((female pubic hair:1.3)), lowres,beast,bestiality,", "prompt_strength": 0.62, "show_system_info": false, "swap_face_enable": false, "controlnet_enable": false, "face_editor_enable": false, "canny_low_threshold": 100, "codeformer_fidelity": 0.7, "num_inference_steps": 26, "restore_face_enable": false, "canny_high_threshold": 200, "control_guidance_end": 1, "firebase_api_version": 4, "lora_model_extra_url": "https://civitai.com/models/174065?modelVersionId=195436", "restore_face_upscale": 1, "cross_attention_scale": 0.2, "face_editor_mask_blur": 12, "face_editor_mask_size": 6, "face_editor_strength1": 0.4, "face_editor_strength2": 0.05, "restore_face_upsample": true, "control_guidance_start": 0, "face_editor_confidence": 0.97, "controlnet_conditioning_scale": 0.73, "restore_face_background_enhance": true }, "logs": "Using seed: 1467512474\nLoading another pipe:img2img\nYou have disabled the safety checker for <class 'diffusers.pipelines.controlnet.pipeline_controlnet_img2img.StableDiffusionControlNetImg2ImgPipeline'> by passing `safety_checker=None`. Ensure that you abide to the conditions of the Stable Diffusion license and do not expose unfiltered results in services or applications open to the public. Both the diffusers team and Hugging Face strongly recommend to keep the safety filter enabled in all public facing circumstances, disabling it only for use-cases that involve analyzing network behavior or auditing its results. For more information, please have a look at https://github.com/huggingface/diffusers/pull/254 .\nPipe loaded: img2img\nSafety checker disabled: True\ncheck cf info\ncheck cf info took 226 ms\nModel 15a211a879ef38a34c0cf4fa9e6b8baf0507c216 already exists, skip downloading.\nUsing LoRA model: 15a211a879ef38a34c0cf4fa9e6b8baf0507c216:0.2\nInput image size: 512x720\n 0%| | 0/16 [00:00<?, ?it/s]\n 6%|▋ | 1/16 [00:00<00:05, 2.78it/s]\n 12%|█▎ | 2/16 [00:00<00:05, 2.76it/s]\n 19%|█▉ | 3/16 [00:01<00:04, 2.74it/s]\n 25%|██▌ | 4/16 [00:01<00:04, 2.74it/s]\n 31%|███▏ | 5/16 [00:01<00:04, 2.75it/s]\n 38%|███▊ | 6/16 [00:02<00:03, 2.74it/s]\n 44%|████▍ | 7/16 [00:02<00:03, 2.74it/s]\n 50%|█████ | 8/16 [00:02<00:02, 2.74it/s]\n 56%|█████▋ | 9/16 [00:03<00:02, 2.73it/s]\n 62%|██████▎ | 10/16 [00:03<00:02, 2.74it/s]\n 69%|██████▉ | 11/16 [00:04<00:01, 2.74it/s]\n 75%|███████▌ | 12/16 [00:04<00:01, 2.74it/s]\n 81%|████████▏ | 13/16 [00:04<00:01, 2.74it/s]\n 88%|████████▊ | 14/16 [00:05<00:00, 2.74it/s]\n 94%|█████████▍| 15/16 [00:05<00:00, 2.73it/s]\n100%|██████████| 16/16 [00:05<00:00, 2.73it/s]\n100%|██████████| 16/16 [00:05<00:00, 2.74it/s]\n 0%| | 0/16 [00:00<?, ?it/s]\n 6%|▋ | 1/16 [00:00<00:05, 2.73it/s]\n 12%|█▎ | 2/16 [00:00<00:05, 2.69it/s]\n 19%|█▉ | 3/16 [00:01<00:04, 2.71it/s]\n 25%|██▌ | 4/16 [00:01<00:04, 2.73it/s]\n 31%|███▏ | 5/16 [00:01<00:04, 2.70it/s]\n 38%|███▊ | 6/16 [00:02<00:03, 2.71it/s]\n 44%|████▍ | 7/16 [00:02<00:03, 2.71it/s]\n 50%|█████ | 8/16 [00:02<00:02, 2.70it/s]\n 56%|█████▋ | 9/16 [00:03<00:02, 2.70it/s]\n 62%|██████▎ | 10/16 [00:03<00:02, 2.70it/s]\n 69%|██████▉ | 11/16 [00:04<00:01, 2.70it/s]\n 75%|███████▌ | 12/16 [00:04<00:01, 2.70it/s]\n 81%|████████▏ | 13/16 [00:04<00:01, 2.69it/s]\n 88%|████████▊ | 14/16 [00:05<00:00, 2.69it/s]\n 94%|█████████▍| 15/16 [00:05<00:00, 2.69it/s]\n100%|██████████| 16/16 [00:05<00:00, 2.68it/s]\n100%|██████████| 16/16 [00:05<00:00, 2.70it/s]\n 0%| | 0/16 [00:00<?, ?it/s]\n 6%|▋ | 1/16 [00:00<00:05, 2.67it/s]\n 12%|█▎ | 2/16 [00:00<00:05, 2.66it/s]\n 19%|█▉ | 3/16 [00:01<00:04, 2.67it/s]\n 25%|██▌ | 4/16 [00:01<00:04, 2.68it/s]\n 31%|███▏ | 5/16 [00:01<00:04, 2.68it/s]\n 38%|███▊ | 6/16 [00:02<00:03, 2.67it/s]\n 44%|████▍ | 7/16 [00:02<00:03, 2.67it/s]\n 50%|█████ | 8/16 [00:02<00:03, 2.66it/s]\n 56%|█████▋ | 9/16 [00:03<00:02, 2.66it/s]\n 62%|██████▎ | 10/16 [00:03<00:02, 2.66it/s]\n 69%|██████▉ | 11/16 [00:04<00:01, 2.66it/s]\n 75%|███████▌ | 12/16 [00:04<00:01, 2.65it/s]\n 81%|████████▏ | 13/16 [00:04<00:01, 2.65it/s]\n 88%|████████▊ | 14/16 [00:05<00:00, 2.65it/s]\n 94%|█████████▍| 15/16 [00:05<00:00, 2.64it/s]\n100%|██████████| 16/16 [00:06<00:00, 2.65it/s]\n100%|██████████| 16/16 [00:06<00:00, 2.66it/s]\n 0%| | 0/16 [00:00<?, ?it/s]\n 6%|▋ | 1/16 [00:00<00:05, 2.65it/s]\n 12%|█▎ | 2/16 [00:00<00:05, 2.56it/s]\n 19%|█▉ | 3/16 [00:01<00:04, 2.61it/s]\n 25%|██▌ | 4/16 [00:01<00:04, 2.63it/s]\n 31%|███▏ | 5/16 [00:01<00:04, 2.62it/s]\n 38%|███▊ | 6/16 [00:02<00:03, 2.62it/s]\n 44%|████▍ | 7/16 [00:02<00:03, 2.63it/s]\n 50%|█████ | 8/16 [00:03<00:03, 2.62it/s]\n 56%|█████▋ | 9/16 [00:03<00:02, 2.63it/s]\n 62%|██████▎ | 10/16 [00:03<00:02, 2.62it/s]\n 69%|██████▉ | 11/16 [00:04<00:01, 2.62it/s]\n 75%|███████▌ | 12/16 [00:04<00:01, 2.63it/s]\n 81%|████████▏ | 13/16 [00:04<00:01, 2.62it/s]\n 88%|████████▊ | 14/16 [00:05<00:00, 2.62it/s]\n 94%|█████████▍| 15/16 [00:05<00:00, 2.62it/s]\n100%|██████████| 16/16 [00:06<00:00, 2.61it/s]\n100%|██████████| 16/16 [00:06<00:00, 2.62it/s]", "metrics": { "predict_time": 40.481745, "total_time": 40.427153 }, "output": [ "https://replicate.delivery/pbxt/FjLMCpg5KJJiI5s9YfUl1n4dtQVzy2AGkOddEdM9PiJoN84IA/out-0-0.png", "https://replicate.delivery/pbxt/iDqfFzepJ6gX609a6X7Ef3he2uJ7YsfhFCXOF90eTVQeoN84IA/out-0-1.png", "https://replicate.delivery/pbxt/pCMcxvmG9wK3IhSXuKgLbkXOKgu8C5KofrcYrPlNBtfSb4xRA/out-0-2.png", "https://replicate.delivery/pbxt/n1WlcJkkjd4HOZBfPZIIZnQJO2CrN6c9r9TkFvj43ASpN84IA/out-0-3.png" ], "started_at": "2023-10-26T02:53:31.016412Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/ftgs6lbbrv53foghivrcr67vye", "cancel": "https://api.replicate.com/v1/predictions/ftgs6lbbrv53foghivrcr67vye/cancel" }, "version": "94e2636d948604782044495187f719605927cc754fa602d0a49ba286f54978fd" }
Generated inUsing seed: 1467512474 Loading another pipe:img2img You have disabled the safety checker for <class 'diffusers.pipelines.controlnet.pipeline_controlnet_img2img.StableDiffusionControlNetImg2ImgPipeline'> by passing `safety_checker=None`. Ensure that you abide to the conditions of the Stable Diffusion license and do not expose unfiltered results in services or applications open to the public. Both the diffusers team and Hugging Face strongly recommend to keep the safety filter enabled in all public facing circumstances, disabling it only for use-cases that involve analyzing network behavior or auditing its results. For more information, please have a look at https://github.com/huggingface/diffusers/pull/254 . Pipe loaded: img2img Safety checker disabled: True check cf info check cf info took 226 ms Model 15a211a879ef38a34c0cf4fa9e6b8baf0507c216 already exists, skip downloading. Using LoRA model: 15a211a879ef38a34c0cf4fa9e6b8baf0507c216:0.2 Input image size: 512x720 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:05, 2.78it/s] 12%|█▎ | 2/16 [00:00<00:05, 2.76it/s] 19%|█▉ | 3/16 [00:01<00:04, 2.74it/s] 25%|██▌ | 4/16 [00:01<00:04, 2.74it/s] 31%|███▏ | 5/16 [00:01<00:04, 2.75it/s] 38%|███▊ | 6/16 [00:02<00:03, 2.74it/s] 44%|████▍ | 7/16 [00:02<00:03, 2.74it/s] 50%|█████ | 8/16 [00:02<00:02, 2.74it/s] 56%|█████▋ | 9/16 [00:03<00:02, 2.73it/s] 62%|██████▎ | 10/16 [00:03<00:02, 2.74it/s] 69%|██████▉ | 11/16 [00:04<00:01, 2.74it/s] 75%|███████▌ | 12/16 [00:04<00:01, 2.74it/s] 81%|████████▏ | 13/16 [00:04<00:01, 2.74it/s] 88%|████████▊ | 14/16 [00:05<00:00, 2.74it/s] 94%|█████████▍| 15/16 [00:05<00:00, 2.73it/s] 100%|██████████| 16/16 [00:05<00:00, 2.73it/s] 100%|██████████| 16/16 [00:05<00:00, 2.74it/s] 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:05, 2.73it/s] 12%|█▎ | 2/16 [00:00<00:05, 2.69it/s] 19%|█▉ | 3/16 [00:01<00:04, 2.71it/s] 25%|██▌ | 4/16 [00:01<00:04, 2.73it/s] 31%|███▏ | 5/16 [00:01<00:04, 2.70it/s] 38%|███▊ | 6/16 [00:02<00:03, 2.71it/s] 44%|████▍ | 7/16 [00:02<00:03, 2.71it/s] 50%|█████ | 8/16 [00:02<00:02, 2.70it/s] 56%|█████▋ | 9/16 [00:03<00:02, 2.70it/s] 62%|██████▎ | 10/16 [00:03<00:02, 2.70it/s] 69%|██████▉ | 11/16 [00:04<00:01, 2.70it/s] 75%|███████▌ | 12/16 [00:04<00:01, 2.70it/s] 81%|████████▏ | 13/16 [00:04<00:01, 2.69it/s] 88%|████████▊ | 14/16 [00:05<00:00, 2.69it/s] 94%|█████████▍| 15/16 [00:05<00:00, 2.69it/s] 100%|██████████| 16/16 [00:05<00:00, 2.68it/s] 100%|██████████| 16/16 [00:05<00:00, 2.70it/s] 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:05, 2.67it/s] 12%|█▎ | 2/16 [00:00<00:05, 2.66it/s] 19%|█▉ | 3/16 [00:01<00:04, 2.67it/s] 25%|██▌ | 4/16 [00:01<00:04, 2.68it/s] 31%|███▏ | 5/16 [00:01<00:04, 2.68it/s] 38%|███▊ | 6/16 [00:02<00:03, 2.67it/s] 44%|████▍ | 7/16 [00:02<00:03, 2.67it/s] 50%|█████ | 8/16 [00:02<00:03, 2.66it/s] 56%|█████▋ | 9/16 [00:03<00:02, 2.66it/s] 62%|██████▎ | 10/16 [00:03<00:02, 2.66it/s] 69%|██████▉ | 11/16 [00:04<00:01, 2.66it/s] 75%|███████▌ | 12/16 [00:04<00:01, 2.65it/s] 81%|████████▏ | 13/16 [00:04<00:01, 2.65it/s] 88%|████████▊ | 14/16 [00:05<00:00, 2.65it/s] 94%|█████████▍| 15/16 [00:05<00:00, 2.64it/s] 100%|██████████| 16/16 [00:06<00:00, 2.65it/s] 100%|██████████| 16/16 [00:06<00:00, 2.66it/s] 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:05, 2.65it/s] 12%|█▎ | 2/16 [00:00<00:05, 2.56it/s] 19%|█▉ | 3/16 [00:01<00:04, 2.61it/s] 25%|██▌ | 4/16 [00:01<00:04, 2.63it/s] 31%|███▏ | 5/16 [00:01<00:04, 2.62it/s] 38%|███▊ | 6/16 [00:02<00:03, 2.62it/s] 44%|████▍ | 7/16 [00:02<00:03, 2.63it/s] 50%|█████ | 8/16 [00:03<00:03, 2.62it/s] 56%|█████▋ | 9/16 [00:03<00:02, 2.63it/s] 62%|██████▎ | 10/16 [00:03<00:02, 2.62it/s] 69%|██████▉ | 11/16 [00:04<00:01, 2.62it/s] 75%|███████▌ | 12/16 [00:04<00:01, 2.63it/s] 81%|████████▏ | 13/16 [00:04<00:01, 2.62it/s] 88%|████████▊ | 14/16 [00:05<00:00, 2.62it/s] 94%|█████████▍| 15/16 [00:05<00:00, 2.62it/s] 100%|██████████| 16/16 [00:06<00:00, 2.61it/s] 100%|██████████| 16/16 [00:06<00:00, 2.62it/s]
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