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Cat with a Hat with AnReal SpiceMix
anreal-spicemix:v2.0
evevalentine2017
evevalentine2017
·
12/09/2023
356
Input
prompt
Specify things to see in the output
masterpiece, best quality, highres, intricate detail, charming scottish fold kitty, nervous demeanor, folded ears, round eyes, twitchy tail, soft pastel fur, sweet anxiety, gentle disposition, perfect lighting, perfect shading, (wearing a cowboy hat), <lora:more_details:0.9>
negative_prompt
Specify things to not see in the output
cartoon, painting, illustration, (worst quality, low quality, normal quality:2)
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
0.1
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
num_outputs
Number of output images
4
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3457328242
width
Output image width
768
height
Output image height
768
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.
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 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>
add_detail.safetensors
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/52474f62ffe646b0964b4f3ef7606a53/00000-3457328242.png
https://files.tungsten.run/uploads/a32d4ecbfd8a4f64bdb59d71ab21a9bd/00001-3457328243.png
https://files.tungsten.run/uploads/d4843baff3cb4ff5bcf41724f7ad18a6/00002-3457328244.png
https://files.tungsten.run/uploads/766fc510f4b44c6d86c7cc57b510eb2c/00003-3457328245.png
Finished in 58.1 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: masterpiece, best quality, highres, intricate detail, charming scottish fold kitty, nervous demeanor, folded ears, round eyes, twitchy tail, soft pastel fur, sweet anxiety, gentle disposition, perfect lighting, perfect shading, (wearing a cowboy hat), <lora:more_details:0.9>, (masterpiece:1.5), (top quality:1.5), (ultra detailed:1.5), (ultra realistic:1.5), <lora:add_detail:0.1> Full negative prompt: cartoon, painting, illustration, (worst quality, low quality, normal quality:2) Couldn't find network with name more_details 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:33, 1.15s/it] 7%|▋ | 2/30 [00:01<00:23, 1.18it/s] 10%|█ | 3/30 [00:02<00:20, 1.33it/s] 13%|█▎ | 4/30 [00:03<00:18, 1.40it/s] 17%|█▋ | 5/30 [00:03<00:17, 1.46it/s] 20%|██ | 6/30 [00:04<00:16, 1.49it/s] 23%|██▎ | 7/30 [00:05<00:15, 1.50it/s] 27%|██▋ | 8/30 [00:05<00:14, 1.52it/s] 30%|███ | 9/30 [00:06<00:13, 1.53it/s] 33%|███▎ | 10/30 [00:06<00:13, 1.53it/s] 37%|███▋ | 11/30 [00:07<00:12, 1.54it/s] 40%|████ | 12/30 [00:08<00:11, 1.54it/s] 43%|████▎ | 13/30 [00:08<00:11, 1.54it/s] 47%|████▋ | 14/30 [00:09<00:10, 1.54it/s] 50%|█████ | 15/30 [00:10<00:09, 1.54it/s] 53%|█████▎ | 16/30 [00:10<00:09, 1.54it/s] 57%|█████▋ | 17/30 [00:11<00:08, 1.54it/s] 60%|██████ | 18/30 [00:12<00:07, 1.54it/s] 63%|██████▎ | 19/30 [00:12<00:07, 1.54it/s] 67%|██████▋ | 20/30 [00:13<00:06, 1.54it/s] 70%|███████ | 21/30 [00:14<00:05, 1.54it/s] 73%|███████▎ | 22/30 [00:14<00:05, 1.54it/s] 77%|███████▋ | 23/30 [00:15<00:04, 1.54it/s] 80%|████████ | 24/30 [00:16<00:03, 1.54it/s] 83%|████████▎ | 25/30 [00:16<00:03, 1.54it/s] 87%|████████▋ | 26/30 [00:17<00:02, 1.54it/s] 90%|█████████ | 27/30 [00:17<00:01, 1.53it/s] 93%|█████████▎| 28/30 [00:18<00:01, 1.53it/s] 97%|█████████▋| 29/30 [00:19<00:00, 1.53it/s] 100%|██████████| 30/30 [00:19<00:00, 1.53it/s] 100%|██████████| 30/30 [00:19<00:00, 1.50it/s] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.02s 0: 640x640 2 faces, 8.0ms Speed: 4.2ms preprocess, 8.0ms inference, 33.0ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name more_details 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:04, 3.49it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.90it/s] 18%|█▊ | 3/17 [00:00<00:02, 5.60it/s] 24%|██▎ | 4/17 [00:00<00:02, 6.01it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.26it/s] 35%|███▌ | 6/17 [00:01<00:01, 6.31it/s] 41%|████ | 7/17 [00:01<00:01, 6.32it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.38it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.45it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.51it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.57it/s] 71%|███████ | 12/17 [00:01<00:00, 6.58it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.56it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.53it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.55it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.58it/s] 100%|██████████| 17/17 [00:02<00:00, 6.60it/s] 100%|██████████| 17/17 [00:02<00:00, 6.28it/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 0.43s Move latents to cpu... done in 0.22s Couldn't find network with name more_details 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.86it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.73it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.71it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.68it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.62it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.60it/s] 41%|████ | 7/17 [00:01<00:01, 6.63it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.61it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.60it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.63it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.63it/s] 71%|███████ | 12/17 [00:01<00:00, 6.65it/s] 76%|███████▋ | 13/17 [00:01<00:00, 6.64it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.64it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.63it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.62it/s] 100%|██████████| 17/17 [00:02<00:00, 6.62it/s] 100%|██████████| 17/17 [00:02<00:00, 6.64it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.4ms Speed: 2.9ms preprocess, 7.4ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 (no detections), 7.3ms Speed: 2.6ms preprocess, 7.3ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x640 2 hands, 6.9ms Speed: 2.7ms preprocess, 6.9ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name more_details 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 7.07it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.85it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.77it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.76it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.72it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.66it/s] 41%|████ | 7/17 [00:01<00:01, 6.56it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.52it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.55it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.60it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.62it/s] 71%|███████ | 12/17 [00:01<00:00, 6.61it/s] 76%|███████▋ | 13/17 [00:01<00:00, 6.54it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.53it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.51it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.54it/s] 100%|██████████| 17/17 [00:02<00:00, 6.58it/s] 100%|██████████| 17/17 [00:02<00:00, 6.61it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s Couldn't find network with name more_details 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.50it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.62it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.64it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.64it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.56it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.47it/s] 41%|████ | 7/17 [00:01<00:01, 6.46it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.52it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.57it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.59it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.56it/s] 71%|███████ | 12/17 [00:01<00:00, 6.50it/s] 76%|███████▋ | 13/17 [00:01<00:00, 6.47it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.50it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.54it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.58it/s] 100%|██████████| 17/17 [00:02<00:00, 6.59it/s] 100%|██████████| 17/17 [00:02<00:00, 6.55it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.6ms preprocess, 7.3ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name more_details 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 7.00it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.82it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.76it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.72it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.68it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.63it/s] 41%|████ | 7/17 [00:01<00:01, 6.54it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.56it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.59it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.63it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.65it/s] 71%|███████ | 12/17 [00:01<00:00, 6.63it/s] 76%|███████▋ | 13/17 [00:01<00:00, 6.56it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.55it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.57it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.60it/s] 100%|██████████| 17/17 [00:02<00:00, 6.63it/s] 100%|██████████| 17/17 [00:02<00:00, 6.63it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.0ms Speed: 2.7ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 1 face, 7.4ms Speed: 2.6ms preprocess, 7.4ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name more_details 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 7.10it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.84it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.73it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.69it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.67it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.59it/s] 41%|████ | 7/17 [00:01<00:01, 6.49it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.42it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.48it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.53it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.57it/s] 71%|███████ | 12/17 [00:01<00:00, 6.56it/s] 76%|███████▋ | 13/17 [00:01<00:00, 6.51it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.44it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.45it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.49it/s] 100%|██████████| 17/17 [00:02<00:00, 6.53it/s] 100%|██████████| 17/17 [00:02<00:00, 6.55it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 6.9ms Speed: 2.6ms preprocess, 6.9ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name more_details 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 7.07it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.86it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.77it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.72it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.71it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.63it/s] 41%|████ | 7/17 [00:01<00:01, 6.55it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.49it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.51it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.55it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.58it/s] 71%|███████ | 12/17 [00:01<00:00, 6.57it/s] 76%|███████▋ | 13/17 [00:01<00:00, 6.52it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.45it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.47it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.51it/s] 100%|██████████| 17/17 [00:02<00:00, 6.54it/s] 100%|██████████| 17/17 [00:02<00:00, 6.57it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s Finished.
prompt
Specify things to see in the output
masterpiece, best quality, highres, intricate detail, charming scottish fold kitty, nervous demeanor, folded ears, round eyes, twitchy tail, soft pastel fur, sweet anxiety, gentle disposition, perfect lighting, perfect shading, (wearing a cowboy hat), <lora:more_details:0.9>
negative_prompt
Specify things to not see in the output
cartoon, painting, illustration, (worst quality, low quality, normal quality:2)
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
0.1
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
num_outputs
Number of output images
4
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3457328242
width
Output image width
768
height
Output image height
768
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.
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 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>
add_detail.safetensors
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/52474f62ffe646b0964b4f3ef7606a53/00000-3457328242.png
https://files.tungsten.run/uploads/a32d4ecbfd8a4f64bdb59d71ab21a9bd/00001-3457328243.png
https://files.tungsten.run/uploads/d4843baff3cb4ff5bcf41724f7ad18a6/00002-3457328244.png
https://files.tungsten.run/uploads/766fc510f4b44c6d86c7cc57b510eb2c/00003-3457328245.png
Finished in 58.1 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: masterpiece, best quality, highres, intricate detail, charming scottish fold kitty, nervous demeanor, folded ears, round eyes, twitchy tail, soft pastel fur, sweet anxiety, gentle disposition, perfect lighting, perfect shading, (wearing a cowboy hat), <lora:more_details:0.9>, (masterpiece:1.5), (top quality:1.5), (ultra detailed:1.5), (ultra realistic:1.5), <lora:add_detail:0.1> Full negative prompt: cartoon, painting, illustration, (worst quality, low quality, normal quality:2) Couldn't find network with name more_details 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:33, 1.15s/it] 7%|▋ | 2/30 [00:01<00:23, 1.18it/s] 10%|█ | 3/30 [00:02<00:20, 1.33it/s] 13%|█▎ | 4/30 [00:03<00:18, 1.40it/s] 17%|█▋ | 5/30 [00:03<00:17, 1.46it/s] 20%|██ | 6/30 [00:04<00:16, 1.49it/s] 23%|██▎ | 7/30 [00:05<00:15, 1.50it/s] 27%|██▋ | 8/30 [00:05<00:14, 1.52it/s] 30%|███ | 9/30 [00:06<00:13, 1.53it/s] 33%|███▎ | 10/30 [00:06<00:13, 1.53it/s] 37%|███▋ | 11/30 [00:07<00:12, 1.54it/s] 40%|████ | 12/30 [00:08<00:11, 1.54it/s] 43%|████▎ | 13/30 [00:08<00:11, 1.54it/s] 47%|████▋ | 14/30 [00:09<00:10, 1.54it/s] 50%|█████ | 15/30 [00:10<00:09, 1.54it/s] 53%|█████▎ | 16/30 [00:10<00:09, 1.54it/s] 57%|█████▋ | 17/30 [00:11<00:08, 1.54it/s] 60%|██████ | 18/30 [00:12<00:07, 1.54it/s] 63%|██████▎ | 19/30 [00:12<00:07, 1.54it/s] 67%|██████▋ | 20/30 [00:13<00:06, 1.54it/s] 70%|███████ | 21/30 [00:14<00:05, 1.54it/s] 73%|███████▎ | 22/30 [00:14<00:05, 1.54it/s] 77%|███████▋ | 23/30 [00:15<00:04, 1.54it/s] 80%|████████ | 24/30 [00:16<00:03, 1.54it/s] 83%|████████▎ | 25/30 [00:16<00:03, 1.54it/s] 87%|████████▋ | 26/30 [00:17<00:02, 1.54it/s] 90%|█████████ | 27/30 [00:17<00:01, 1.53it/s] 93%|█████████▎| 28/30 [00:18<00:01, 1.53it/s] 97%|█████████▋| 29/30 [00:19<00:00, 1.53it/s] 100%|██████████| 30/30 [00:19<00:00, 1.53it/s] 100%|██████████| 30/30 [00:19<00:00, 1.50it/s] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.02s 0: 640x640 2 faces, 8.0ms Speed: 4.2ms preprocess, 8.0ms inference, 33.0ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name more_details 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:04, 3.49it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.90it/s] 18%|█▊ | 3/17 [00:00<00:02, 5.60it/s] 24%|██▎ | 4/17 [00:00<00:02, 6.01it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.26it/s] 35%|███▌ | 6/17 [00:01<00:01, 6.31it/s] 41%|████ | 7/17 [00:01<00:01, 6.32it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.38it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.45it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.51it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.57it/s] 71%|███████ | 12/17 [00:01<00:00, 6.58it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.56it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.53it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.55it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.58it/s] 100%|██████████| 17/17 [00:02<00:00, 6.60it/s] 100%|██████████| 17/17 [00:02<00:00, 6.28it/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 0.43s Move latents to cpu... done in 0.22s Couldn't find network with name more_details 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.86it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.73it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.71it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.68it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.62it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.60it/s] 41%|████ | 7/17 [00:01<00:01, 6.63it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.61it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.60it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.63it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.63it/s] 71%|███████ | 12/17 [00:01<00:00, 6.65it/s] 76%|███████▋ | 13/17 [00:01<00:00, 6.64it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.64it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.63it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.62it/s] 100%|██████████| 17/17 [00:02<00:00, 6.62it/s] 100%|██████████| 17/17 [00:02<00:00, 6.64it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.4ms Speed: 2.9ms preprocess, 7.4ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 (no detections), 7.3ms Speed: 2.6ms preprocess, 7.3ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x640 2 hands, 6.9ms Speed: 2.7ms preprocess, 6.9ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name more_details 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 7.07it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.85it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.77it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.76it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.72it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.66it/s] 41%|████ | 7/17 [00:01<00:01, 6.56it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.52it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.55it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.60it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.62it/s] 71%|███████ | 12/17 [00:01<00:00, 6.61it/s] 76%|███████▋ | 13/17 [00:01<00:00, 6.54it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.53it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.51it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.54it/s] 100%|██████████| 17/17 [00:02<00:00, 6.58it/s] 100%|██████████| 17/17 [00:02<00:00, 6.61it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s Couldn't find network with name more_details 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.50it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.62it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.64it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.64it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.56it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.47it/s] 41%|████ | 7/17 [00:01<00:01, 6.46it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.52it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.57it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.59it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.56it/s] 71%|███████ | 12/17 [00:01<00:00, 6.50it/s] 76%|███████▋ | 13/17 [00:01<00:00, 6.47it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.50it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.54it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.58it/s] 100%|██████████| 17/17 [00:02<00:00, 6.59it/s] 100%|██████████| 17/17 [00:02<00:00, 6.55it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.6ms preprocess, 7.3ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name more_details 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 7.00it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.82it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.76it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.72it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.68it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.63it/s] 41%|████ | 7/17 [00:01<00:01, 6.54it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.56it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.59it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.63it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.65it/s] 71%|███████ | 12/17 [00:01<00:00, 6.63it/s] 76%|███████▋ | 13/17 [00:01<00:00, 6.56it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.55it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.57it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.60it/s] 100%|██████████| 17/17 [00:02<00:00, 6.63it/s] 100%|██████████| 17/17 [00:02<00:00, 6.63it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.0ms Speed: 2.7ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 1 face, 7.4ms Speed: 2.6ms preprocess, 7.4ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name more_details 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 7.10it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.84it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.73it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.69it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.67it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.59it/s] 41%|████ | 7/17 [00:01<00:01, 6.49it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.42it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.48it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.53it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.57it/s] 71%|███████ | 12/17 [00:01<00:00, 6.56it/s] 76%|███████▋ | 13/17 [00:01<00:00, 6.51it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.44it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.45it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.49it/s] 100%|██████████| 17/17 [00:02<00:00, 6.53it/s] 100%|██████████| 17/17 [00:02<00:00, 6.55it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 6.9ms Speed: 2.6ms preprocess, 6.9ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name more_details 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 7.07it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.86it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.77it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.72it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.71it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.63it/s] 41%|████ | 7/17 [00:01<00:01, 6.55it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.49it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.51it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.55it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.58it/s] 71%|███████ | 12/17 [00:01<00:00, 6.57it/s] 76%|███████▋ | 13/17 [00:01<00:00, 6.52it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.45it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.47it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.51it/s] 100%|██████████| 17/17 [00:02<00:00, 6.54it/s] 100%|██████████| 17/17 [00:02<00:00, 6.57it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s Finished.