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Handsome Man with Milky Chicken
milky-chicken:v2.0
evevalentine2017
evevalentine2017
·
12/16/2023
348
Input
prompt
Specify things to see in the output
1boy, beard, (blurry, bokeh), night, looking at viewer, contrast, neon, oversized jacket, biceps,
negative_prompt
Specify things to not see in the output
cartoon, painting, illustration, (worst quality, low quality, normal quality:2),
num_outputs
Number of output images
4
width
Output image width
768
height
Output image height
768
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1736119341
input_image
Base image that the output should be generated from. This is useful when you want to add some detail to input_image. For example, if prompt is "sunglasses" and input_image has a man, there is the man wearing sunglasses in the output.
input_image_redrawing_strength
How differ the output is from input_image. Used only when input_image is given.
0.55
reference_image
Image with which the output should share identity (e.g. face of a person or type of a dog)
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
1
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.
1
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.
1
sampler
Sampler type
DPM++ 2M SDE Karras
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
blessed2_fp16.safetensors
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.
false
Output
https://files.tungsten.run/uploads/4ac737534ee04ded99f9a9ec46a1c974/00000-1736119341.webp
https://files.tungsten.run/uploads/189f696e422f4b018fc80a45446e9f94/00001-1736119342.webp
https://files.tungsten.run/uploads/9b87ee0d9df9435292b9ed4e831e339a/00002-1736119343.webp
https://files.tungsten.run/uploads/2f0a5f3c7be44ae58f2b84bf2ce32225/00003-1736119344.webp
Finished in 106.6 seconds
v2.0: Pulling from evevalentine2017/milky-chicken 578acb154839: Already exists ac65017cfc56: Already exists 146269b80f9c: Already exists b51bc62cc3ca: Already exists 4ba34dd48a55: Already exists 2c0d7edf2b4f: Already exists bd3aa092d934: Already exists a2a0b079260c: Already exists 48e8a1cea0b1: Already exists 607175607db9: Already exists 44762e60be28: Already exists d1e8a6995bc7: Already exists 8915fc22d7d8: Already exists e186b03af121: Already exists 4f4fb700ef54: Already exists 030de23c0760: Already exists b15eabe0046c: Pull complete 593e23880730: Pull complete 8ad4590b912b: Pull complete Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: 1boy, beard, (blurry, bokeh), night, looking at viewer, contrast, neon, oversized jacket, biceps, Full negative prompt: cartoon, painting, illustration, (worst quality, low quality, normal quality:2), 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:34, 1.17s/it] 7%|▋ | 2/30 [00:02<00:41, 1.49s/it] 10%|█ | 3/30 [00:04<00:42, 1.59s/it] 13%|█▎ | 4/30 [00:06<00:43, 1.68s/it] 17%|█▋ | 5/30 [00:08<00:43, 1.74s/it] 20%|██ | 6/30 [00:10<00:42, 1.76s/it] 23%|██▎ | 7/30 [00:11<00:40, 1.74s/it] 27%|██▋ | 8/30 [00:13<00:38, 1.74s/it] 30%|███ | 9/30 [00:15<00:37, 1.77s/it] 33%|███▎ | 10/30 [00:17<00:35, 1.77s/it] 37%|███▋ | 11/30 [00:18<00:33, 1.76s/it] 40%|████ | 12/30 [00:20<00:31, 1.74s/it] 43%|████▎ | 13/30 [00:22<00:29, 1.74s/it] 47%|████▋ | 14/30 [00:23<00:26, 1.66s/it] 50%|█████ | 15/30 [00:25<00:24, 1.63s/it] 53%|█████▎ | 16/30 [00:26<00:22, 1.58s/it] 57%|█████▋ | 17/30 [00:28<00:20, 1.58s/it] 60%|██████ | 18/30 [00:30<00:19, 1.60s/it] 63%|██████▎ | 19/30 [00:31<00:17, 1.59s/it] 67%|██████▋ | 20/30 [00:33<00:16, 1.62s/it] 70%|███████ | 21/30 [00:34<00:14, 1.60s/it] 73%|███████▎ | 22/30 [00:36<00:12, 1.62s/it] 77%|███████▋ | 23/30 [00:37<00:10, 1.54s/it] 80%|████████ | 24/30 [00:39<00:08, 1.49s/it] 83%|████████▎ | 25/30 [00:40<00:07, 1.50s/it] 87%|████████▋ | 26/30 [00:42<00:06, 1.54s/it] 90%|█████████ | 27/30 [00:43<00:04, 1.54s/it] 93%|█████████▎| 28/30 [00:45<00:03, 1.53s/it] 97%|█████████▋| 29/30 [00:46<00:01, 1.34s/it] 100%|██████████| 30/30 [00:46<00:00, 1.13s/it] 100%|██████████| 30/30 [00:46<00:00, 1.57s/it] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 8.0ms Speed: 7.9ms preprocess, 8.0ms inference, 29.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:08, 1.86it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.23it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.44it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.45it/s] 29%|██▉ | 5/17 [00:02<00:04, 2.48it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.52it/s] 41%|████ | 7/17 [00:02<00:04, 2.49it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.52it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.49it/s] 59%|█████▉ | 10/17 [00:04<00:02, 2.63it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.69it/s] 71%|███████ | 12/17 [00:04<00:01, 2.70it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.65it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.67it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.68it/s] 94%|█████████▍| 16/17 [00:06<00:00, 3.05it/s] 100%|██████████| 17/17 [00:06<00:00, 3.67it/s] 100%|██████████| 17/17 [00:06<00:00, 2.73it/s] Decoding latents in cuda:0... =========================================== A tensor with all NaNs was produced in VAE. Converted VAE into 32-bit float and retry. =========================================== done in 0.44s Move latents to cpu... done in 0.21s 0: 640x640 (no detections), 7.6ms Speed: 2.9ms preprocess, 7.6ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 7.9ms Speed: 2.8ms preprocess, 7.9ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.66it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.63it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.67it/s] 24%|██▎ | 4/17 [00:01<00:04, 2.65it/s] 29%|██▉ | 5/17 [00:01<00:04, 2.61it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.60it/s] 41%|████ | 7/17 [00:02<00:03, 2.54it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.58it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.54it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.68it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.77it/s] 71%|███████ | 12/17 [00:04<00:01, 2.76it/s] 76%|███████▋ | 13/17 [00:04<00:01, 2.70it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.69it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.70it/s] 94%|█████████▍| 16/17 [00:05<00:00, 3.09it/s] 100%|██████████| 17/17 [00:05<00:00, 3.72it/s] 100%|██████████| 17/17 [00:05<00:00, 2.83it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.66it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.63it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.69it/s] 24%|██▎ | 4/17 [00:01<00:04, 2.66it/s] 29%|██▉ | 5/17 [00:01<00:04, 2.61it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.60it/s] 41%|████ | 7/17 [00:02<00:03, 2.53it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.53it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.49it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.64it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.73it/s] 71%|███████ | 12/17 [00:04<00:01, 2.69it/s] 76%|███████▋ | 13/17 [00:04<00:01, 2.62it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.59it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.61it/s] 94%|█████████▍| 16/17 [00:05<00:00, 3.00it/s] 100%|██████████| 17/17 [00:06<00:00, 3.63it/s] 100%|██████████| 17/17 [00:06<00:00, 2.79it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.0ms Speed: 3.1ms preprocess, 8.0ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.65it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.60it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.65it/s] 24%|██▎ | 4/17 [00:01<00:04, 2.61it/s] 29%|██▉ | 5/17 [00:01<00:04, 2.56it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.50it/s] 41%|████ | 7/17 [00:02<00:04, 2.46it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.50it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.47it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.61it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.67it/s] 71%|███████ | 12/17 [00:04<00:01, 2.67it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.61it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.62it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.64it/s] 94%|█████████▍| 16/17 [00:06<00:00, 3.02it/s] 100%|██████████| 17/17 [00:06<00:00, 3.64it/s] 100%|██████████| 17/17 [00:06<00:00, 2.76it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.4ms Speed: 2.9ms preprocess, 7.4ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.65it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.65it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.71it/s] 24%|██▎ | 4/17 [00:01<00:04, 2.67it/s] 29%|██▉ | 5/17 [00:01<00:04, 2.59it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.57it/s] 41%|████ | 7/17 [00:02<00:03, 2.52it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.56it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.54it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.69it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.76it/s] 71%|███████ | 12/17 [00:04<00:01, 2.73it/s] 76%|███████▋ | 13/17 [00:04<00:01, 2.65it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.65it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.65it/s] 94%|█████████▍| 16/17 [00:05<00:00, 3.04it/s] 100%|██████████| 17/17 [00:06<00:00, 3.67it/s] 100%|██████████| 17/17 [00:06<00:00, 2.81it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 2 faces, 7.5ms Speed: 2.8ms preprocess, 7.5ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:05, 2.69it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.64it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.70it/s] 24%|██▎ | 4/17 [00:01<00:04, 2.66it/s] 29%|██▉ | 5/17 [00:01<00:04, 2.60it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.59it/s] 41%|████ | 7/17 [00:02<00:03, 2.52it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.54it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.50it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.65it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.73it/s] 71%|███████ | 12/17 [00:04<00:01, 2.72it/s] 76%|███████▋ | 13/17 [00:04<00:01, 2.66it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.66it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.66it/s] 94%|█████████▍| 16/17 [00:05<00:00, 3.05it/s] 100%|██████████| 17/17 [00:06<00:00, 3.67it/s] 100%|██████████| 17/17 [00:06<00:00, 2.81it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:05, 2.68it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.64it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.69it/s] 24%|██▎ | 4/17 [00:01<00:04, 2.66it/s] 29%|██▉ | 5/17 [00:01<00:04, 2.58it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.58it/s] 41%|████ | 7/17 [00:02<00:04, 2.49it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.51it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.49it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.62it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.72it/s] 71%|███████ | 12/17 [00:04<00:01, 2.72it/s]
prompt
Specify things to see in the output
1boy, beard, (blurry, bokeh), night, looking at viewer, contrast, neon, oversized jacket, biceps,
negative_prompt
Specify things to not see in the output
cartoon, painting, illustration, (worst quality, low quality, normal quality:2),
num_outputs
Number of output images
4
width
Output image width
768
height
Output image height
768
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1736119341
input_image
Base image that the output should be generated from. This is useful when you want to add some detail to input_image. For example, if prompt is "sunglasses" and input_image has a man, there is the man wearing sunglasses in the output.
input_image_redrawing_strength
How differ the output is from input_image. Used only when input_image is given.
0.55
reference_image
Image with which the output should share identity (e.g. face of a person or type of a dog)
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
1
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.
1
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.
1
sampler
Sampler type
DPM++ 2M SDE Karras
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
blessed2_fp16.safetensors
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.
false
https://files.tungsten.run/uploads/4ac737534ee04ded99f9a9ec46a1c974/00000-1736119341.webp
https://files.tungsten.run/uploads/189f696e422f4b018fc80a45446e9f94/00001-1736119342.webp
https://files.tungsten.run/uploads/9b87ee0d9df9435292b9ed4e831e339a/00002-1736119343.webp
https://files.tungsten.run/uploads/2f0a5f3c7be44ae58f2b84bf2ce32225/00003-1736119344.webp
Finished in 106.6 seconds
v2.0: Pulling from evevalentine2017/milky-chicken 578acb154839: Already exists ac65017cfc56: Already exists 146269b80f9c: Already exists b51bc62cc3ca: Already exists 4ba34dd48a55: Already exists 2c0d7edf2b4f: Already exists bd3aa092d934: Already exists a2a0b079260c: Already exists 48e8a1cea0b1: Already exists 607175607db9: Already exists 44762e60be28: Already exists d1e8a6995bc7: Already exists 8915fc22d7d8: Already exists e186b03af121: Already exists 4f4fb700ef54: Already exists 030de23c0760: Already exists b15eabe0046c: Pull complete 593e23880730: Pull complete 8ad4590b912b: Pull complete Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: 1boy, beard, (blurry, bokeh), night, looking at viewer, contrast, neon, oversized jacket, biceps, Full negative prompt: cartoon, painting, illustration, (worst quality, low quality, normal quality:2), 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:34, 1.17s/it] 7%|▋ | 2/30 [00:02<00:41, 1.49s/it] 10%|█ | 3/30 [00:04<00:42, 1.59s/it] 13%|█▎ | 4/30 [00:06<00:43, 1.68s/it] 17%|█▋ | 5/30 [00:08<00:43, 1.74s/it] 20%|██ | 6/30 [00:10<00:42, 1.76s/it] 23%|██▎ | 7/30 [00:11<00:40, 1.74s/it] 27%|██▋ | 8/30 [00:13<00:38, 1.74s/it] 30%|███ | 9/30 [00:15<00:37, 1.77s/it] 33%|███▎ | 10/30 [00:17<00:35, 1.77s/it] 37%|███▋ | 11/30 [00:18<00:33, 1.76s/it] 40%|████ | 12/30 [00:20<00:31, 1.74s/it] 43%|████▎ | 13/30 [00:22<00:29, 1.74s/it] 47%|████▋ | 14/30 [00:23<00:26, 1.66s/it] 50%|█████ | 15/30 [00:25<00:24, 1.63s/it] 53%|█████▎ | 16/30 [00:26<00:22, 1.58s/it] 57%|█████▋ | 17/30 [00:28<00:20, 1.58s/it] 60%|██████ | 18/30 [00:30<00:19, 1.60s/it] 63%|██████▎ | 19/30 [00:31<00:17, 1.59s/it] 67%|██████▋ | 20/30 [00:33<00:16, 1.62s/it] 70%|███████ | 21/30 [00:34<00:14, 1.60s/it] 73%|███████▎ | 22/30 [00:36<00:12, 1.62s/it] 77%|███████▋ | 23/30 [00:37<00:10, 1.54s/it] 80%|████████ | 24/30 [00:39<00:08, 1.49s/it] 83%|████████▎ | 25/30 [00:40<00:07, 1.50s/it] 87%|████████▋ | 26/30 [00:42<00:06, 1.54s/it] 90%|█████████ | 27/30 [00:43<00:04, 1.54s/it] 93%|█████████▎| 28/30 [00:45<00:03, 1.53s/it] 97%|█████████▋| 29/30 [00:46<00:01, 1.34s/it] 100%|██████████| 30/30 [00:46<00:00, 1.13s/it] 100%|██████████| 30/30 [00:46<00:00, 1.57s/it] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 8.0ms Speed: 7.9ms preprocess, 8.0ms inference, 29.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:08, 1.86it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.23it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.44it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.45it/s] 29%|██▉ | 5/17 [00:02<00:04, 2.48it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.52it/s] 41%|████ | 7/17 [00:02<00:04, 2.49it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.52it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.49it/s] 59%|█████▉ | 10/17 [00:04<00:02, 2.63it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.69it/s] 71%|███████ | 12/17 [00:04<00:01, 2.70it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.65it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.67it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.68it/s] 94%|█████████▍| 16/17 [00:06<00:00, 3.05it/s] 100%|██████████| 17/17 [00:06<00:00, 3.67it/s] 100%|██████████| 17/17 [00:06<00:00, 2.73it/s] Decoding latents in cuda:0... =========================================== A tensor with all NaNs was produced in VAE. Converted VAE into 32-bit float and retry. =========================================== done in 0.44s Move latents to cpu... done in 0.21s 0: 640x640 (no detections), 7.6ms Speed: 2.9ms preprocess, 7.6ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 7.9ms Speed: 2.8ms preprocess, 7.9ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.66it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.63it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.67it/s] 24%|██▎ | 4/17 [00:01<00:04, 2.65it/s] 29%|██▉ | 5/17 [00:01<00:04, 2.61it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.60it/s] 41%|████ | 7/17 [00:02<00:03, 2.54it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.58it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.54it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.68it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.77it/s] 71%|███████ | 12/17 [00:04<00:01, 2.76it/s] 76%|███████▋ | 13/17 [00:04<00:01, 2.70it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.69it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.70it/s] 94%|█████████▍| 16/17 [00:05<00:00, 3.09it/s] 100%|██████████| 17/17 [00:05<00:00, 3.72it/s] 100%|██████████| 17/17 [00:05<00:00, 2.83it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.66it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.63it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.69it/s] 24%|██▎ | 4/17 [00:01<00:04, 2.66it/s] 29%|██▉ | 5/17 [00:01<00:04, 2.61it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.60it/s] 41%|████ | 7/17 [00:02<00:03, 2.53it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.53it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.49it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.64it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.73it/s] 71%|███████ | 12/17 [00:04<00:01, 2.69it/s] 76%|███████▋ | 13/17 [00:04<00:01, 2.62it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.59it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.61it/s] 94%|█████████▍| 16/17 [00:05<00:00, 3.00it/s] 100%|██████████| 17/17 [00:06<00:00, 3.63it/s] 100%|██████████| 17/17 [00:06<00:00, 2.79it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.0ms Speed: 3.1ms preprocess, 8.0ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.65it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.60it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.65it/s] 24%|██▎ | 4/17 [00:01<00:04, 2.61it/s] 29%|██▉ | 5/17 [00:01<00:04, 2.56it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.50it/s] 41%|████ | 7/17 [00:02<00:04, 2.46it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.50it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.47it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.61it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.67it/s] 71%|███████ | 12/17 [00:04<00:01, 2.67it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.61it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.62it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.64it/s] 94%|█████████▍| 16/17 [00:06<00:00, 3.02it/s] 100%|██████████| 17/17 [00:06<00:00, 3.64it/s] 100%|██████████| 17/17 [00:06<00:00, 2.76it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.4ms Speed: 2.9ms preprocess, 7.4ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.65it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.65it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.71it/s] 24%|██▎ | 4/17 [00:01<00:04, 2.67it/s] 29%|██▉ | 5/17 [00:01<00:04, 2.59it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.57it/s] 41%|████ | 7/17 [00:02<00:03, 2.52it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.56it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.54it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.69it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.76it/s] 71%|███████ | 12/17 [00:04<00:01, 2.73it/s] 76%|███████▋ | 13/17 [00:04<00:01, 2.65it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.65it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.65it/s] 94%|█████████▍| 16/17 [00:05<00:00, 3.04it/s] 100%|██████████| 17/17 [00:06<00:00, 3.67it/s] 100%|██████████| 17/17 [00:06<00:00, 2.81it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 2 faces, 7.5ms Speed: 2.8ms preprocess, 7.5ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:05, 2.69it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.64it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.70it/s] 24%|██▎ | 4/17 [00:01<00:04, 2.66it/s] 29%|██▉ | 5/17 [00:01<00:04, 2.60it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.59it/s] 41%|████ | 7/17 [00:02<00:03, 2.52it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.54it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.50it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.65it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.73it/s] 71%|███████ | 12/17 [00:04<00:01, 2.72it/s] 76%|███████▋ | 13/17 [00:04<00:01, 2.66it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.66it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.66it/s] 94%|█████████▍| 16/17 [00:05<00:00, 3.05it/s] 100%|██████████| 17/17 [00:06<00:00, 3.67it/s] 100%|██████████| 17/17 [00:06<00:00, 2.81it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:05, 2.68it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.64it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.69it/s] 24%|██▎ | 4/17 [00:01<00:04, 2.66it/s] 29%|██▉ | 5/17 [00:01<00:04, 2.58it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.58it/s] 41%|████ | 7/17 [00:02<00:04, 2.49it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.51it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.49it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.62it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.72it/s] 71%|███████ | 12/17 [00:04<00:01, 2.72it/s]