soranix
soranix
2 stars
Version: v0.12
Input
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
saturation
Adjust saturation
num_outputs
Number of output images
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
width
Output image width
height
Output image height
reference_image
Image that the output should be similar to
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
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Output
https://files.tungsten.run/uploads/7f039adf88464da9bdc6cbcbcf37ef4e/00000-640728456.png
https://files.tungsten.run/uploads/af2602c347e54cf09aba2f9b0c1145ae/00001-640728457.png
https://files.tungsten.run/uploads/7a41d9eba35b4a50b12d654a7f0baeff/00002-640728458.png
https://files.tungsten.run/uploads/b72beaad488f49a6a46573390b5658f6/00003-640728459.png
This example was created by evevalentine2017
Finished in 178.5 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: masterpiece, best quality, ultra high res, beautiful, gorgeous, evocative, emotional, award-winning art, 1girl, (abstract art:1.4), purple theme, purple lighting, melting, liquid, <lora:FaceBeauty_qinglong_V3:1> Full negative prompt: (worst quality, low quality:2), NSFW, monochrome, zombie, overexposure, watermark, text, bad anatomy, bad hand,((extra hands)),extra fingers, too many fingers, fused fingers, bad arm, distorted arm, extra arms, fused arms, extra legs, missing leg,disembodied leg,extra nipples, detached arm, liquid hand, inverted hand, disembodied limb, oversized head, extra body, extra navel, (hair between eyes),sketch, duplicate, ugly, huge eyes, text, logo, worst face, (bad and mutated hands:1.3), (blurry:2.0), horror, geometry, bad_prompt, (bad hands), (missing fingers), multiple limbs, bad anatomy, (interlocked fingers:1.2), Ugly Fingers, (extra digit and hands and fingers and legs and arms:1.4), (deformed fingers:1.2), (long fingers:1.2), bad hand, extra legs, ng_deepnegative_v1_75t, bad-hands-5, verybadimagenegative_v1.3, 0%| | 0/60 [00:00<?, ?it/s] 2%|▏ | 1/60 [00:01<01:48, 1.84s/it] 3%|▎ | 2/60 [00:03<01:27, 1.51s/it] 5%|▌ | 3/60 [00:04<01:19, 1.40s/it] 7%|▋ | 4/60 [00:05<01:15, 1.35s/it] 8%|▊ | 5/60 [00:06<01:13, 1.34s/it] 10%|█ | 6/60 [00:08<01:11, 1.32s/it] 12%|█▏ | 7/60 [00:09<01:09, 1.31s/it] 13%|█▎ | 8/60 [00:10<01:07, 1.30s/it] 15%|█▌ | 9/60 [00:12<01:06, 1.30s/it] 17%|█▋ | 10/60 [00:13<01:04, 1.30s/it] 18%|█▊ | 11/60 [00:14<01:03, 1.29s/it] 20%|██ | 12/60 [00:16<01:02, 1.30s/it] 22%|██▏ | 13/60 [00:17<01:00, 1.29s/it] 23%|██▎ | 14/60 [00:18<00:59, 1.29s/it] 25%|██▌ | 15/60 [00:19<00:58, 1.29s/it] 27%|██▋ | 16/60 [00:21<00:56, 1.29s/it] 28%|██▊ | 17/60 [00:22<00:55, 1.29s/it] 30%|███ | 18/60 [00:23<00:54, 1.29s/it] 32%|███▏ | 19/60 [00:25<00:53, 1.29s/it] 33%|███▎ | 20/60 [00:26<00:51, 1.29s/it] 35%|███▌ | 21/60 [00:27<00:50, 1.29s/it] 37%|███▋ | 22/60 [00:28<00:49, 1.29s/it] 38%|███▊ | 23/60 [00:30<00:47, 1.29s/it] 40%|████ | 24/60 [00:31<00:46, 1.29s/it] 42%|████▏ | 25/60 [00:32<00:45, 1.29s/it] 43%|████▎ | 26/60 [00:34<00:43, 1.29s/it] 45%|████▌ | 27/60 [00:35<00:42, 1.29s/it] 47%|████▋ | 28/60 [00:36<00:41, 1.28s/it] 48%|████▊ | 29/60 [00:37<00:39, 1.28s/it] 50%|█████ | 30/60 [00:39<00:38, 1.28s/it] 52%|█████▏ | 31/60 [00:40<00:37, 1.28s/it] 53%|█████▎ | 32/60 [00:41<00:35, 1.28s/it] 55%|█████▌ | 33/60 [00:43<00:34, 1.28s/it] 57%|█████▋ | 34/60 [00:44<00:33, 1.28s/it] 58%|█████▊ | 35/60 [00:45<00:31, 1.28s/it] 60%|██████ | 36/60 [00:46<00:30, 1.28s/it] 62%|██████▏ | 37/60 [00:48<00:29, 1.28s/it] 63%|██████▎ | 38/60 [00:49<00:28, 1.28s/it] 65%|██████▌ | 39/60 [00:50<00:26, 1.28s/it] 67%|██████▋ | 40/60 [00:51<00:25, 1.28s/it] 68%|██████▊ | 41/60 [00:53<00:24, 1.28s/it] 70%|███████ | 42/60 [00:54<00:23, 1.28s/it] 72%|███████▏ | 43/60 [00:55<00:21, 1.28s/it] 73%|███████▎ | 44/60 [00:57<00:20, 1.28s/it] 75%|███████▌ | 45/60 [00:58<00:19, 1.27s/it] 77%|███████▋ | 46/60 [00:59<00:17, 1.28s/it] 78%|███████▊ | 47/60 [01:00<00:16, 1.28s/it] 80%|████████ | 48/60 [01:02<00:15, 1.28s/it] 82%|████████▏ | 49/60 [01:03<00:14, 1.27s/it] 83%|████████▎ | 50/60 [01:04<00:12, 1.27s/it] 85%|████████▌ | 51/60 [01:06<00:11, 1.28s/it] 87%|████████▋ | 52/60 [01:07<00:10, 1.28s/it] 88%|████████▊ | 53/60 [01:08<00:08, 1.28s/it] 90%|█████████ | 54/60 [01:09<00:07, 1.28s/it] 92%|█████████▏| 55/60 [01:11<00:06, 1.27s/it] 93%|█████████▎| 56/60 [01:12<00:05, 1.27s/it] 95%|█████████▌| 57/60 [01:13<00:03, 1.27s/it] 97%|█████████▋| 58/60 [01:14<00:02, 1.27s/it] 98%|█████████▊| 59/60 [01:16<00:01, 1.27s/it] 100%|██████████| 60/60 [01:16<00:00, 1.08s/it] 100%|██████████| 60/60 [01:16<00:00, 1.28s/it] Decoding latents in cuda:0... =========================================== A tensor with all NaNs was produced in VAE. Converted VAE into 32-bit float and retry. =========================================== done in 1.93s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.8ms Speed: 3.6ms preprocess, 7.8ms inference, 32.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/34 [00:00<?, ?it/s] 3%|▎ | 1/34 [00:00<00:20, 1.61it/s] 6%|▌ | 2/34 [00:01<00:15, 2.02it/s] 9%|▉ | 3/34 [00:01<00:14, 2.16it/s] 12%|█▏ | 4/34 [00:01<00:13, 2.27it/s] 15%|█▍ | 5/34 [00:02<00:12, 2.33it/s] 18%|█▊ | 6/34 [00:02<00:11, 2.34it/s] 21%|██ | 7/34 [00:03<00:11, 2.40it/s] 24%|██▎ | 8/34 [00:03<00:10, 2.40it/s] 26%|██▋ | 9/34 [00:03<00:10, 2.43it/s] 29%|██▉ | 10/34 [00:04<00:09, 2.45it/s] 32%|███▏ | 11/34 [00:04<00:09, 2.46it/s] 35%|███▌ | 12/34 [00:05<00:08, 2.48it/s] 38%|███▊ | 13/34 [00:05<00:08, 2.49it/s] 41%|████ | 14/34 [00:05<00:08, 2.50it/s] 44%|████▍ | 15/34 [00:06<00:07, 2.50it/s] 47%|████▋ | 16/34 [00:06<00:07, 2.49it/s] 50%|█████ | 17/34 [00:07<00:06, 2.49it/s] 53%|█████▎ | 18/34 [00:07<00:06, 2.48it/s] 56%|█████▌ | 19/34 [00:07<00:06, 2.45it/s] 59%|█████▉ | 20/34 [00:08<00:05, 2.45it/s] 62%|██████▏ | 21/34 [00:08<00:05, 2.42it/s] 65%|██████▍ | 22/34 [00:09<00:04, 2.44it/s] 68%|██████▊ | 23/34 [00:09<00:04, 2.44it/s] 71%|███████ | 24/34 [00:09<00:04, 2.44it/s] 74%|███████▎ | 25/34 [00:10<00:03, 2.45it/s] 76%|███████▋ | 26/34 [00:10<00:03, 2.42it/s] 79%|███████▉ | 27/34 [00:11<00:02, 2.43it/s] 82%|████████▏ | 28/34 [00:11<00:02, 2.44it/s] 85%|████████▌ | 29/34 [00:12<00:02, 2.41it/s] 88%|████████▊ | 30/34 [00:12<00:01, 2.43it/s] 91%|█████████ | 31/34 [00:12<00:01, 2.42it/s] 94%|█████████▍| 32/34 [00:13<00:00, 2.44it/s] 97%|█████████▋| 33/34 [00:13<00:00, 2.45it/s] 100%|██████████| 34/34 [00:13<00:00, 2.88it/s] 100%|██████████| 34/34 [00:13<00:00, 2.45it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.01s 0: 640x640 1 hand, 7.0ms Speed: 3.2ms preprocess, 7.0ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/34 [00:00<?, ?it/s] 3%|▎ | 1/34 [00:00<00:13, 2.50it/s] 6%|▌ | 2/34 [00:00<00:13, 2.46it/s] 9%|▉ | 3/34 [00:01<00:12, 2.46it/s] 12%|█▏ | 4/34 [00:01<00:12, 2.45it/s] 15%|█▍ | 5/34 [00:02<00:11, 2.43it/s] 18%|█▊ | 6/34 [00:02<00:11, 2.45it/s] 21%|██ | 7/34 [00:02<00:11, 2.43it/s] 24%|██▎ | 8/34 [00:03<00:10, 2.44it/s] 26%|██▋ | 9/34 [00:03<00:10, 2.45it/s] 29%|██▉ | 10/34 [00:04<00:09, 2.43it/s] 32%|███▏ | 11/34 [00:04<00:09, 2.44it/s] 35%|███▌ | 12/34 [00:04<00:09, 2.42it/s] 38%|███▊ | 13/34 [00:05<00:08, 2.44it/s] 41%|████ | 14/34 [00:05<00:08, 2.45it/s] 44%|████▍ | 15/34 [00:06<00:07, 2.46it/s] 47%|████▋ | 16/34 [00:06<00:07, 2.46it/s] 50%|█████ | 17/34 [00:06<00:07, 2.40it/s] 53%|█████▎ | 18/34 [00:07<00:06, 2.40it/s] 56%|█████▌ | 19/34 [00:07<00:06, 2.41it/s] 59%|█████▉ | 20/34 [00:08<00:05, 2.40it/s] 62%|██████▏ | 21/34 [00:08<00:05, 2.42it/s] 65%|██████▍ | 22/34 [00:09<00:04, 2.45it/s] 68%|██████▊ | 23/34 [00:09<00:04, 2.44it/s] 71%|███████ | 24/34 [00:09<00:04, 2.42it/s] 74%|███████▎ | 25/34 [00:10<00:03, 2.41it/s] 76%|███████▋ | 26/34 [00:10<00:03, 2.43it/s] 79%|███████▉ | 27/34 [00:11<00:02, 2.41it/s] 82%|████████▏ | 28/34 [00:11<00:02, 2.43it/s] 85%|████████▌ | 29/34 [00:11<00:02, 2.41it/s] 88%|████████▊ | 30/34 [00:12<00:01, 2.42it/s] 91%|█████████ | 31/34 [00:12<00:01, 2.43it/s] 94%|█████████▍| 32/34 [00:13<00:00, 2.42it/s] 97%|█████████▋| 33/34 [00:13<00:00, 2.42it/s] 100%|██████████| 34/34 [00:13<00:00, 2.85it/s] 100%|██████████| 34/34 [00:13<00:00, 2.47it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.7ms Speed: 3.2ms preprocess, 7.7ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/34 [00:00<?, ?it/s] 3%|▎ | 1/34 [00:00<00:13, 2.44it/s] 6%|▌ | 2/34 [00:00<00:12, 2.47it/s] 9%|▉ | 3/34 [00:01<00:12, 2.43it/s] 12%|█▏ | 4/34 [00:01<00:12, 2.42it/s] 15%|█▍ | 5/34 [00:02<00:12, 2.41it/s] 18%|█▊ | 6/34 [00:02<00:11, 2.43it/s] 21%|██ | 7/34 [00:02<00:11, 2.42it/s] 24%|██▎ | 8/34 [00:03<00:10, 2.42it/s] 26%|██▋ | 9/34 [00:03<00:10, 2.44it/s] 29%|██▉ | 10/34 [00:04<00:09, 2.42it/s] 32%|███▏ | 11/34 [00:04<00:09, 2.44it/s] 35%|███▌ | 12/34 [00:04<00:08, 2.45it/s] 38%|███▊ | 13/34 [00:05<00:08, 2.43it/s] 41%|████ | 14/34 [00:05<00:08, 2.46it/s] 44%|████▍ | 15/34 [00:06<00:07, 2.45it/s] 47%|████▋ | 16/34 [00:06<00:07, 2.47it/s] 50%|█████ | 17/34 [00:06<00:06, 2.48it/s] 53%|█████▎ | 18/34 [00:07<00:06, 2.47it/s] 56%|█████▌ | 19/34 [00:07<00:06, 2.47it/s] 59%|█████▉ | 20/34 [00:08<00:05, 2.45it/s] 62%|██████▏ | 21/34 [00:08<00:05, 2.45it/s] 65%|██████▍ | 22/34 [00:08<00:04, 2.46it/s] 68%|██████▊ | 23/34 [00:09<00:04, 2.46it/s] 71%|███████ | 24/34 [00:09<00:04, 2.45it/s] 74%|███████▎ | 25/34 [00:10<00:03, 2.44it/s] 76%|███████▋ | 26/34 [00:10<00:03, 2.46it/s] 79%|███████▉ | 27/34 [00:11<00:02, 2.48it/s] 82%|████████▏ | 28/34 [00:11<00:02, 2.46it/s] 85%|████████▌ | 29/34 [00:11<00:02, 2.47it/s] 88%|████████▊ | 30/34 [00:12<00:01, 2.43it/s] 91%|█████████ | 31/34 [00:12<00:01, 2.45it/s] 94%|█████████▍| 32/34 [00:13<00:00, 2.47it/s] 97%|█████████▋| 33/34 [00:13<00:00, 2.46it/s] 100%|██████████| 34/34 [00:13<00:00, 2.90it/s] 100%|██████████| 34/34 [00:13<00:00, 2.49it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.1ms Speed: 3.2ms preprocess, 7.1ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 1 face, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/34 [00:00<?, ?it/s] 3%|▎ | 1/34 [00:00<00:14, 2.36it/s] 6%|▌ | 2/34 [00:00<00:13, 2.40it/s] 9%|▉ | 3/34 [00:01<00:13, 2.38it/s] 12%|█▏ | 4/34 [00:01<00:12, 2.43it/s] 15%|█▍ | 5/34 [00:02<00:11, 2.45it/s] 18%|█▊ | 6/34 [00:02<00:11, 2.44it/s] 21%|██ | 7/34 [00:02<00:10, 2.47it/s] 24%|██▎ | 8/34 [00:03<00:10, 2.44it/s] 26%|██▋ | 9/34 [00:03<00:10, 2.43it/s] 29%|██▉ | 10/34 [00:04<00:09, 2.45it/s] 32%|███▏ | 11/34 [00:04<00:09, 2.46it/s] 35%|███▌ | 12/34 [00:04<00:08, 2.46it/s] 38%|███▊ | 13/34 [00:05<00:08, 2.47it/s] 41%|████ | 14/34 [00:05<00:08, 2.49it/s] 44%|████▍ | 15/34 [00:06<00:07, 2.48it/s] 47%|████▋ | 16/34 [00:06<00:07, 2.49it/s] 50%|█████ | 17/34 [00:06<00:06, 2.49it/s] 53%|█████▎ | 18/34 [00:07<00:06, 2.49it/s] 56%|█████▌ | 19/34 [00:07<00:06, 2.49it/s] 59%|█████▉ | 20/34 [00:08<00:05, 2.47it/s] 62%|██████▏ | 21/34 [00:08<00:05, 2.45it/s] 65%|██████▍ | 22/34 [00:08<00:04, 2.46it/s] 68%|██████▊ | 23/34 [00:09<00:04, 2.47it/s] 71%|███████ | 24/34 [00:09<00:04, 2.45it/s] 74%|███████▎ | 25/34 [00:10<00:03, 2.44it/s] 76%|███████▋ | 26/34 [00:10<00:03, 2.42it/s] 79%|███████▉ | 27/34 [00:10<00:02, 2.44it/s] 82%|████████▏ | 28/34 [00:11<00:02, 2.47it/s] 85%|████████▌ | 29/34 [00:11<00:02, 2.45it/s] 88%|████████▊ | 30/34 [00:12<00:01, 2.44it/s] 91%|█████████ | 31/34 [00:12<00:01, 2.41it/s] 94%|█████████▍| 32/34 [00:13<00:00, 2.44it/s] 97%|█████████▋| 33/34 [00:13<00:00, 2.42it/s] 100%|██████████| 34/34 [00:13<00:00, 2.86it/s] 100%|██████████| 34/34 [00:13<00:00, 2.49it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 6.9ms Speed: 3.0ms preprocess, 6.9ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 2 faces, 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 2.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/34 [00:00<?, ?it/s] 3%|▎ | 1/34 [00:00<00:13, 2.42it/s] 6%|▌ | 2/34 [00:00<00:13, 2.46it/s] 9%|▉ | 3/34 [00:01<00:12, 2.44it/s] 12%|█▏ | 4/34 [00:01<00:12, 2.46it/s] 15%|█▍ | 5/34 [00:02<00:11, 2.47it/s] 18%|█▊ | 6/34 [00:02<00:11, 2.43it/s] 21%|██ | 7/34 [00:02<00:11, 2.45it/s] 24%|██▎ | 8/34 [00:03<00:10, 2.45it/s] 26%|██▋ | 9/34 [00:03<00:10, 2.46it/s] 29%|██▉ | 10/34 [00:04<00:09, 2.44it/s] 32%|███▏ | 11/34 [00:04<00:09, 2.42it/s] 35%|███▌ | 12/34 [00:04<00:09, 2.41it/s] 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[00:13<00:00, 2.47it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/34 [00:00<?, ?it/s] 3%|▎ | 1/34 [00:00<00:14, 2.34it/s] 6%|▌ | 2/34 [00:00<00:13, 2.40it/s] 9%|▉ | 3/34 [00:01<00:12, 2.43it/s] 12%|█▏ | 4/34 [00:01<00:12, 2.45it/s] 15%|█▍ | 5/34 [00:02<00:11, 2.46it/s] 18%|█▊ | 6/34 [00:02<00:11, 2.45it/s] 21%|██ | 7/34 [00:02<00:10, 2.47it/s] 24%|██▎ | 8/34 [00:03<00:10, 2.44it/s] 26%|██▋ | 9/34 [00:03<00:10, 2.44it/s] 29%|██▉ | 10/34 [00:04<00:09, 2.45it/s] 32%|███▏ | 11/34 [00:04<00:09, 2.42it/s] 35%|███▌ | 12/34 [00:04<00:09, 2.43it/s] 38%|███▊ | 13/34 [00:05<00:08, 2.42it/s] 41%|████ | 14/34 [00:05<00:08, 2.43it/s] 44%|████▍ | 15/34 [00:06<00:07, 2.44it/s] 47%|████▋ | 16/34 [00:06<00:07, 2.45it/s] 50%|█████ | 17/34 [00:06<00:06, 2.46it/s] 53%|█████▎ | 18/34 [00:07<00:06, 2.46it/s] 56%|█████▌ | 19/34 [00:07<00:06, 2.46it/s] 59%|█████▉ | 20/34 [00:08<00:05, 2.44it/s] 62%|██████▏ | 21/34 [00:08<00:05, 2.43it/s] 65%|██████▍ | 22/34 [00:09<00:04, 2.45it/s] 68%|██████▊ | 23/34 [00:09<00:04, 2.46it/s] 71%|███████ | 24/34 [00:09<00:04, 2.47it/s] 74%|███████▎ | 25/34 [00:10<00:03, 2.48it/s] 76%|███████▋ | 26/34 [00:10<00:03, 2.45it/s] 79%|███████▉ | 27/34 [00:11<00:02, 2.46it/s] 82%|████████▏ | 28/34 [00:11<00:02, 2.45it/s] 85%|████████▌ | 29/34 [00:11<00:02, 2.47it/s] 88%|████████▊ | 30/34 [00:12<00:01, 2.48it/s] 91%|█████████ | 31/34 [00:12<00:01, 2.46it/s] 94%|█████████▍| 32/34 [00:13<00:00, 2.47it/s] 97%|█████████▋| 33/34 [00:13<00:00, 2.45it/s] 100%|██████████| 34/34 [00:13<00:00, 2.85it/s] 100%|██████████| 34/34 [00:13<00:00, 2.48it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.2ms Speed: 3.3ms preprocess, 7.2ms inference, 1.2ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Finished.
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
saturation
Adjust saturation
num_outputs
Number of output images
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
width
Output image width
height
Output image height
reference_image
Image that the output should be similar to
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
Sign in to run this model for free!
https://files.tungsten.run/uploads/7f039adf88464da9bdc6cbcbcf37ef4e/00000-640728456.png
https://files.tungsten.run/uploads/af2602c347e54cf09aba2f9b0c1145ae/00001-640728457.png
https://files.tungsten.run/uploads/7a41d9eba35b4a50b12d654a7f0baeff/00002-640728458.png
https://files.tungsten.run/uploads/b72beaad488f49a6a46573390b5658f6/00003-640728459.png
This example was created by evevalentine2017
Finished in 178.5 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: masterpiece, best quality, ultra high res, beautiful, gorgeous, evocative, emotional, award-winning art, 1girl, (abstract art:1.4), purple theme, purple lighting, melting, liquid, <lora:FaceBeauty_qinglong_V3:1> Full negative prompt: (worst quality, low quality:2), NSFW, monochrome, zombie, overexposure, watermark, text, bad anatomy, bad hand,((extra hands)),extra fingers, too many fingers, fused fingers, bad arm, distorted arm, extra arms, fused arms, extra legs, missing leg,disembodied leg,extra nipples, detached arm, liquid hand, inverted hand, disembodied limb, oversized head, extra body, extra navel, (hair between eyes),sketch, duplicate, ugly, huge eyes, text, logo, worst face, (bad and mutated hands:1.3), (blurry:2.0), horror, geometry, bad_prompt, (bad hands), (missing fingers), multiple limbs, bad anatomy, (interlocked fingers:1.2), Ugly Fingers, (extra digit and hands and fingers and legs and arms:1.4), (deformed fingers:1.2), (long fingers:1.2), bad hand, extra legs, ng_deepnegative_v1_75t, bad-hands-5, verybadimagenegative_v1.3, 0%| | 0/60 [00:00<?, ?it/s] 2%|▏ | 1/60 [00:01<01:48, 1.84s/it] 3%|▎ | 2/60 [00:03<01:27, 1.51s/it] 5%|▌ | 3/60 [00:04<01:19, 1.40s/it] 7%|▋ | 4/60 [00:05<01:15, 1.35s/it] 8%|▊ | 5/60 [00:06<01:13, 1.34s/it] 10%|█ | 6/60 [00:08<01:11, 1.32s/it] 12%|█▏ | 7/60 [00:09<01:09, 1.31s/it] 13%|█▎ | 8/60 [00:10<01:07, 1.30s/it] 15%|█▌ | 9/60 [00:12<01:06, 1.30s/it] 17%|█▋ | 10/60 [00:13<01:04, 1.30s/it] 18%|█▊ | 11/60 [00:14<01:03, 1.29s/it] 20%|██ | 12/60 [00:16<01:02, 1.30s/it] 22%|██▏ | 13/60 [00:17<01:00, 1.29s/it] 23%|██▎ | 14/60 [00:18<00:59, 1.29s/it] 25%|██▌ | 15/60 [00:19<00:58, 1.29s/it] 27%|██▋ | 16/60 [00:21<00:56, 1.29s/it] 28%|██▊ | 17/60 [00:22<00:55, 1.29s/it] 30%|███ | 18/60 [00:23<00:54, 1.29s/it] 32%|███▏ | 19/60 [00:25<00:53, 1.29s/it] 33%|███▎ | 20/60 [00:26<00:51, 1.29s/it] 35%|███▌ | 21/60 [00:27<00:50, 1.29s/it] 37%|███▋ | 22/60 [00:28<00:49, 1.29s/it] 38%|███▊ | 23/60 [00:30<00:47, 1.29s/it] 40%|████ | 24/60 [00:31<00:46, 1.29s/it] 42%|████▏ | 25/60 [00:32<00:45, 1.29s/it] 43%|████▎ | 26/60 [00:34<00:43, 1.29s/it] 45%|████▌ | 27/60 [00:35<00:42, 1.29s/it] 47%|████▋ | 28/60 [00:36<00:41, 1.28s/it] 48%|████▊ | 29/60 [00:37<00:39, 1.28s/it] 50%|█████ | 30/60 [00:39<00:38, 1.28s/it] 52%|█████▏ | 31/60 [00:40<00:37, 1.28s/it] 53%|█████▎ | 32/60 [00:41<00:35, 1.28s/it] 55%|█████▌ | 33/60 [00:43<00:34, 1.28s/it] 57%|█████▋ | 34/60 [00:44<00:33, 1.28s/it] 58%|█████▊ | 35/60 [00:45<00:31, 1.28s/it] 60%|██████ | 36/60 [00:46<00:30, 1.28s/it] 62%|██████▏ | 37/60 [00:48<00:29, 1.28s/it] 63%|██████▎ | 38/60 [00:49<00:28, 1.28s/it] 65%|██████▌ | 39/60 [00:50<00:26, 1.28s/it] 67%|██████▋ | 40/60 [00:51<00:25, 1.28s/it] 68%|██████▊ | 41/60 [00:53<00:24, 1.28s/it] 70%|███████ | 42/60 [00:54<00:23, 1.28s/it] 72%|███████▏ | 43/60 [00:55<00:21, 1.28s/it] 73%|███████▎ | 44/60 [00:57<00:20, 1.28s/it] 75%|███████▌ | 45/60 [00:58<00:19, 1.27s/it] 77%|███████▋ | 46/60 [00:59<00:17, 1.28s/it] 78%|███████▊ | 47/60 [01:00<00:16, 1.28s/it] 80%|████████ | 48/60 [01:02<00:15, 1.28s/it] 82%|████████▏ | 49/60 [01:03<00:14, 1.27s/it] 83%|████████▎ | 50/60 [01:04<00:12, 1.27s/it] 85%|████████▌ | 51/60 [01:06<00:11, 1.28s/it] 87%|████████▋ | 52/60 [01:07<00:10, 1.28s/it] 88%|████████▊ | 53/60 [01:08<00:08, 1.28s/it] 90%|█████████ | 54/60 [01:09<00:07, 1.28s/it] 92%|█████████▏| 55/60 [01:11<00:06, 1.27s/it] 93%|█████████▎| 56/60 [01:12<00:05, 1.27s/it] 95%|█████████▌| 57/60 [01:13<00:03, 1.27s/it] 97%|█████████▋| 58/60 [01:14<00:02, 1.27s/it] 98%|█████████▊| 59/60 [01:16<00:01, 1.27s/it] 100%|██████████| 60/60 [01:16<00:00, 1.08s/it] 100%|██████████| 60/60 [01:16<00:00, 1.28s/it] Decoding latents in cuda:0... =========================================== A tensor with all NaNs was produced in VAE. Converted VAE into 32-bit float and retry. =========================================== done in 1.93s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.8ms Speed: 3.6ms preprocess, 7.8ms inference, 32.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/34 [00:00<?, ?it/s] 3%|▎ | 1/34 [00:00<00:20, 1.61it/s] 6%|▌ | 2/34 [00:01<00:15, 2.02it/s] 9%|▉ | 3/34 [00:01<00:14, 2.16it/s] 12%|█▏ | 4/34 [00:01<00:13, 2.27it/s] 15%|█▍ | 5/34 [00:02<00:12, 2.33it/s] 18%|█▊ | 6/34 [00:02<00:11, 2.34it/s] 21%|██ | 7/34 [00:03<00:11, 2.40it/s] 24%|██▎ | 8/34 [00:03<00:10, 2.40it/s] 26%|██▋ | 9/34 [00:03<00:10, 2.43it/s] 29%|██▉ | 10/34 [00:04<00:09, 2.45it/s] 32%|███▏ | 11/34 [00:04<00:09, 2.46it/s] 35%|███▌ | 12/34 [00:05<00:08, 2.48it/s] 38%|███▊ | 13/34 [00:05<00:08, 2.49it/s] 41%|████ | 14/34 [00:05<00:08, 2.50it/s] 44%|████▍ | 15/34 [00:06<00:07, 2.50it/s] 47%|████▋ | 16/34 [00:06<00:07, 2.49it/s] 50%|█████ | 17/34 [00:07<00:06, 2.49it/s] 53%|█████▎ | 18/34 [00:07<00:06, 2.48it/s] 56%|█████▌ | 19/34 [00:07<00:06, 2.45it/s] 59%|█████▉ | 20/34 [00:08<00:05, 2.45it/s] 62%|██████▏ | 21/34 [00:08<00:05, 2.42it/s] 65%|██████▍ | 22/34 [00:09<00:04, 2.44it/s] 68%|██████▊ | 23/34 [00:09<00:04, 2.44it/s] 71%|███████ | 24/34 [00:09<00:04, 2.44it/s] 74%|███████▎ | 25/34 [00:10<00:03, 2.45it/s] 76%|███████▋ | 26/34 [00:10<00:03, 2.42it/s] 79%|███████▉ | 27/34 [00:11<00:02, 2.43it/s] 82%|████████▏ | 28/34 [00:11<00:02, 2.44it/s] 85%|████████▌ | 29/34 [00:12<00:02, 2.41it/s] 88%|████████▊ | 30/34 [00:12<00:01, 2.43it/s] 91%|█████████ | 31/34 [00:12<00:01, 2.42it/s] 94%|█████████▍| 32/34 [00:13<00:00, 2.44it/s] 97%|█████████▋| 33/34 [00:13<00:00, 2.45it/s] 100%|██████████| 34/34 [00:13<00:00, 2.88it/s] 100%|██████████| 34/34 [00:13<00:00, 2.45it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.01s 0: 640x640 1 hand, 7.0ms Speed: 3.2ms preprocess, 7.0ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/34 [00:00<?, ?it/s] 3%|▎ | 1/34 [00:00<00:13, 2.50it/s] 6%|▌ | 2/34 [00:00<00:13, 2.46it/s] 9%|▉ | 3/34 [00:01<00:12, 2.46it/s] 12%|█▏ | 4/34 [00:01<00:12, 2.45it/s] 15%|█▍ | 5/34 [00:02<00:11, 2.43it/s] 18%|█▊ | 6/34 [00:02<00:11, 2.45it/s] 21%|██ | 7/34 [00:02<00:11, 2.43it/s] 24%|██▎ | 8/34 [00:03<00:10, 2.44it/s] 26%|██▋ | 9/34 [00:03<00:10, 2.45it/s] 29%|██▉ | 10/34 [00:04<00:09, 2.43it/s] 32%|███▏ | 11/34 [00:04<00:09, 2.44it/s] 35%|███▌ | 12/34 [00:04<00:09, 2.42it/s] 38%|███▊ | 13/34 [00:05<00:08, 2.44it/s] 41%|████ | 14/34 [00:05<00:08, 2.45it/s] 44%|████▍ | 15/34 [00:06<00:07, 2.46it/s] 47%|████▋ | 16/34 [00:06<00:07, 2.46it/s] 50%|█████ | 17/34 [00:06<00:07, 2.40it/s] 53%|█████▎ | 18/34 [00:07<00:06, 2.40it/s] 56%|█████▌ | 19/34 [00:07<00:06, 2.41it/s] 59%|█████▉ | 20/34 [00:08<00:05, 2.40it/s] 62%|██████▏ | 21/34 [00:08<00:05, 2.42it/s] 65%|██████▍ | 22/34 [00:09<00:04, 2.45it/s] 68%|██████▊ | 23/34 [00:09<00:04, 2.44it/s] 71%|███████ | 24/34 [00:09<00:04, 2.42it/s] 74%|███████▎ | 25/34 [00:10<00:03, 2.41it/s] 76%|███████▋ | 26/34 [00:10<00:03, 2.43it/s] 79%|███████▉ | 27/34 [00:11<00:02, 2.41it/s] 82%|████████▏ | 28/34 [00:11<00:02, 2.43it/s] 85%|████████▌ | 29/34 [00:11<00:02, 2.41it/s] 88%|████████▊ | 30/34 [00:12<00:01, 2.42it/s] 91%|█████████ | 31/34 [00:12<00:01, 2.43it/s] 94%|█████████▍| 32/34 [00:13<00:00, 2.42it/s] 97%|█████████▋| 33/34 [00:13<00:00, 2.42it/s] 100%|██████████| 34/34 [00:13<00:00, 2.85it/s] 100%|██████████| 34/34 [00:13<00:00, 2.47it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.7ms Speed: 3.2ms preprocess, 7.7ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/34 [00:00<?, ?it/s] 3%|▎ | 1/34 [00:00<00:13, 2.44it/s] 6%|▌ | 2/34 [00:00<00:12, 2.47it/s] 9%|▉ | 3/34 [00:01<00:12, 2.43it/s] 12%|█▏ | 4/34 [00:01<00:12, 2.42it/s] 15%|█▍ | 5/34 [00:02<00:12, 2.41it/s] 18%|█▊ | 6/34 [00:02<00:11, 2.43it/s] 21%|██ | 7/34 [00:02<00:11, 2.42it/s] 24%|██▎ | 8/34 [00:03<00:10, 2.42it/s] 26%|██▋ | 9/34 [00:03<00:10, 2.44it/s] 29%|██▉ | 10/34 [00:04<00:09, 2.42it/s] 32%|███▏ | 11/34 [00:04<00:09, 2.44it/s] 35%|███▌ | 12/34 [00:04<00:08, 2.45it/s] 38%|███▊ | 13/34 [00:05<00:08, 2.43it/s] 41%|████ | 14/34 [00:05<00:08, 2.46it/s] 44%|████▍ | 15/34 [00:06<00:07, 2.45it/s] 47%|████▋ | 16/34 [00:06<00:07, 2.47it/s] 50%|█████ | 17/34 [00:06<00:06, 2.48it/s] 53%|█████▎ | 18/34 [00:07<00:06, 2.47it/s] 56%|█████▌ | 19/34 [00:07<00:06, 2.47it/s] 59%|█████▉ | 20/34 [00:08<00:05, 2.45it/s] 62%|██████▏ | 21/34 [00:08<00:05, 2.45it/s] 65%|██████▍ | 22/34 [00:08<00:04, 2.46it/s] 68%|██████▊ | 23/34 [00:09<00:04, 2.46it/s] 71%|███████ | 24/34 [00:09<00:04, 2.45it/s] 74%|███████▎ | 25/34 [00:10<00:03, 2.44it/s] 76%|███████▋ | 26/34 [00:10<00:03, 2.46it/s] 79%|███████▉ | 27/34 [00:11<00:02, 2.48it/s] 82%|████████▏ | 28/34 [00:11<00:02, 2.46it/s] 85%|████████▌ | 29/34 [00:11<00:02, 2.47it/s] 88%|████████▊ | 30/34 [00:12<00:01, 2.43it/s] 91%|█████████ | 31/34 [00:12<00:01, 2.45it/s] 94%|█████████▍| 32/34 [00:13<00:00, 2.47it/s] 97%|█████████▋| 33/34 [00:13<00:00, 2.46it/s] 100%|██████████| 34/34 [00:13<00:00, 2.90it/s] 100%|██████████| 34/34 [00:13<00:00, 2.49it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.1ms Speed: 3.2ms preprocess, 7.1ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 1 face, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/34 [00:00<?, ?it/s] 3%|▎ | 1/34 [00:00<00:14, 2.36it/s] 6%|▌ | 2/34 [00:00<00:13, 2.40it/s] 9%|▉ | 3/34 [00:01<00:13, 2.38it/s] 12%|█▏ | 4/34 [00:01<00:12, 2.43it/s] 15%|█▍ | 5/34 [00:02<00:11, 2.45it/s] 18%|█▊ | 6/34 [00:02<00:11, 2.44it/s] 21%|██ | 7/34 [00:02<00:10, 2.47it/s] 24%|██▎ | 8/34 [00:03<00:10, 2.44it/s] 26%|██▋ | 9/34 [00:03<00:10, 2.43it/s] 29%|██▉ | 10/34 [00:04<00:09, 2.45it/s] 32%|███▏ | 11/34 [00:04<00:09, 2.46it/s] 35%|███▌ | 12/34 [00:04<00:08, 2.46it/s] 38%|███▊ | 13/34 [00:05<00:08, 2.47it/s] 41%|████ | 14/34 [00:05<00:08, 2.49it/s] 44%|████▍ | 15/34 [00:06<00:07, 2.48it/s] 47%|████▋ | 16/34 [00:06<00:07, 2.49it/s] 50%|█████ | 17/34 [00:06<00:06, 2.49it/s] 53%|█████▎ | 18/34 [00:07<00:06, 2.49it/s] 56%|█████▌ | 19/34 [00:07<00:06, 2.49it/s] 59%|█████▉ | 20/34 [00:08<00:05, 2.47it/s] 62%|██████▏ | 21/34 [00:08<00:05, 2.45it/s] 65%|██████▍ | 22/34 [00:08<00:04, 2.46it/s] 68%|██████▊ | 23/34 [00:09<00:04, 2.47it/s] 71%|███████ | 24/34 [00:09<00:04, 2.45it/s] 74%|███████▎ | 25/34 [00:10<00:03, 2.44it/s] 76%|███████▋ | 26/34 [00:10<00:03, 2.42it/s] 79%|███████▉ | 27/34 [00:10<00:02, 2.44it/s] 82%|████████▏ | 28/34 [00:11<00:02, 2.47it/s] 85%|████████▌ | 29/34 [00:11<00:02, 2.45it/s] 88%|████████▊ | 30/34 [00:12<00:01, 2.44it/s] 91%|█████████ | 31/34 [00:12<00:01, 2.41it/s] 94%|█████████▍| 32/34 [00:13<00:00, 2.44it/s] 97%|█████████▋| 33/34 [00:13<00:00, 2.42it/s] 100%|██████████| 34/34 [00:13<00:00, 2.86it/s] 100%|██████████| 34/34 [00:13<00:00, 2.49it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 6.9ms Speed: 3.0ms preprocess, 6.9ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 2 faces, 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 2.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/34 [00:00<?, ?it/s] 3%|▎ | 1/34 [00:00<00:13, 2.42it/s] 6%|▌ | 2/34 [00:00<00:13, 2.46it/s] 9%|▉ | 3/34 [00:01<00:12, 2.44it/s] 12%|█▏ | 4/34 [00:01<00:12, 2.46it/s] 15%|█▍ | 5/34 [00:02<00:11, 2.47it/s] 18%|█▊ | 6/34 [00:02<00:11, 2.43it/s] 21%|██ | 7/34 [00:02<00:11, 2.45it/s] 24%|██▎ | 8/34 [00:03<00:10, 2.45it/s] 26%|██▋ | 9/34 [00:03<00:10, 2.46it/s] 29%|██▉ | 10/34 [00:04<00:09, 2.44it/s] 32%|███▏ | 11/34 [00:04<00:09, 2.42it/s] 35%|███▌ | 12/34 [00:04<00:09, 2.41it/s] 38%|███▊ | 13/34 [00:05<00:08, 2.41it/s] 41%|████ | 14/34 [00:05<00:08, 2.44it/s] 44%|████▍ | 15/34 [00:06<00:07, 2.44it/s] 47%|████▋ | 16/34 [00:06<00:07, 2.45it/s] 50%|█████ | 17/34 [00:06<00:06, 2.45it/s] 53%|█████▎ | 18/34 [00:07<00:06, 2.41it/s] 56%|█████▌ | 19/34 [00:07<00:06, 2.43it/s] 59%|█████▉ | 20/34 [00:08<00:05, 2.43it/s] 62%|██████▏ | 21/34 [00:08<00:05, 2.40it/s] 65%|██████▍ | 22/34 [00:09<00:04, 2.42it/s] 68%|██████▊ | 23/34 [00:09<00:04, 2.40it/s] 71%|███████ | 24/34 [00:09<00:04, 2.43it/s] 74%|███████▎ | 25/34 [00:10<00:03, 2.45it/s] 76%|███████▋ | 26/34 [00:10<00:03, 2.44it/s] 79%|███████▉ | 27/34 [00:11<00:02, 2.43it/s] 82%|████████▏ | 28/34 [00:11<00:02, 2.43it/s] 85%|████████▌ | 29/34 [00:11<00:02, 2.45it/s] 88%|████████▊ | 30/34 [00:12<00:01, 2.46it/s] 91%|█████████ | 31/34 [00:12<00:01, 2.46it/s] 94%|█████████▍| 32/34 [00:13<00:00, 2.46it/s] 97%|█████████▋| 33/34 [00:13<00:00, 2.44it/s] 100%|██████████| 34/34 [00:13<00:00, 2.87it/s] 100%|██████████| 34/34 [00:13<00:00, 2.47it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/34 [00:00<?, ?it/s] 3%|▎ | 1/34 [00:00<00:14, 2.34it/s] 6%|▌ | 2/34 [00:00<00:13, 2.40it/s] 9%|▉ | 3/34 [00:01<00:12, 2.43it/s] 12%|█▏ | 4/34 [00:01<00:12, 2.45it/s] 15%|█▍ | 5/34 [00:02<00:11, 2.46it/s] 18%|█▊ | 6/34 [00:02<00:11, 2.45it/s] 21%|██ | 7/34 [00:02<00:10, 2.47it/s] 24%|██▎ | 8/34 [00:03<00:10, 2.44it/s] 26%|██▋ | 9/34 [00:03<00:10, 2.44it/s] 29%|██▉ | 10/34 [00:04<00:09, 2.45it/s] 32%|███▏ | 11/34 [00:04<00:09, 2.42it/s] 35%|███▌ | 12/34 [00:04<00:09, 2.43it/s] 38%|███▊ | 13/34 [00:05<00:08, 2.42it/s] 41%|████ | 14/34 [00:05<00:08, 2.43it/s] 44%|████▍ | 15/34 [00:06<00:07, 2.44it/s] 47%|████▋ | 16/34 [00:06<00:07, 2.45it/s] 50%|█████ | 17/34 [00:06<00:06, 2.46it/s] 53%|█████▎ | 18/34 [00:07<00:06, 2.46it/s] 56%|█████▌ | 19/34 [00:07<00:06, 2.46it/s] 59%|█████▉ | 20/34 [00:08<00:05, 2.44it/s] 62%|██████▏ | 21/34 [00:08<00:05, 2.43it/s] 65%|██████▍ | 22/34 [00:09<00:04, 2.45it/s] 68%|██████▊ | 23/34 [00:09<00:04, 2.46it/s] 71%|███████ | 24/34 [00:09<00:04, 2.47it/s] 74%|███████▎ | 25/34 [00:10<00:03, 2.48it/s] 76%|███████▋ | 26/34 [00:10<00:03, 2.45it/s] 79%|███████▉ | 27/34 [00:11<00:02, 2.46it/s] 82%|████████▏ | 28/34 [00:11<00:02, 2.45it/s] 85%|████████▌ | 29/34 [00:11<00:02, 2.47it/s] 88%|████████▊ | 30/34 [00:12<00:01, 2.48it/s] 91%|█████████ | 31/34 [00:12<00:01, 2.46it/s] 94%|█████████▍| 32/34 [00:13<00:00, 2.47it/s] 97%|█████████▋| 33/34 [00:13<00:00, 2.45it/s] 100%|██████████| 34/34 [00:13<00:00, 2.85it/s] 100%|██████████| 34/34 [00:13<00:00, 2.48it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.2ms Speed: 3.3ms preprocess, 7.2ms inference, 1.2ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Finished.