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Armored Furry with Persika Furry
persika-furry:v1.0
evevalentine2017
evevalentine2017
·
Jan 20
382
Input
prompt
Specify things to see in the output
furry female, cowboy shot, furry, white body fur, castle background, <lora:lora_Furry_female:0.8>, gold armor, white hair, hair between eyes, green eyes, long hair, <lora:more_details:0.7>
negative_prompt
Specify things to not see in the output
(more than 2 tails), (more than 2 legs), nude, (nsfw:1), (nipples:1), human skin, human, smooth skin, blurry, jpeg artifacts, sketch, paintings, username, watermark, signature, normal quality, worst quality, large head, low quality, extra digits, bad eye, EasyNegativeV2, ng_deepnegative_v1_75t
StL_Areko
St L Areko
0.7
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
0.45
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.
2864287828
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
5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
clearvae_v2.3_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
more_details.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_Furry_female.safetensors
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)
EasyNegativeV2.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
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/590b9643389542a6942658e3ce2c8360/00000-2864287828.webp
https://files.tungsten.run/uploads/1456fcf791864074b873ffa8f90e7635/00001-2864287829.webp
https://files.tungsten.run/uploads/61acd67a562b424fb1fea83fedec683d/00002-2864287830.webp
https://files.tungsten.run/uploads/8dd43af34dd748f6845b848a66549cfd/00003-2864287831.webp
Finished in 110.1 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: furry female, cowboy shot, furry, white body fur, castle background, <lora:lora_Furry_female:0.8>, gold armor, white hair, hair between eyes, green eyes, long hair, <lora:more_details:0.7>, <lora:StL_Areko:0.7> Full negative prompt: (more than 2 tails), (more than 2 legs), nude, (nsfw:1), (nipples:1), human skin, human, smooth skin, blurry, jpeg artifacts, sketch, paintings, username, watermark, signature, normal quality, worst quality, large head, low quality, extra digits, bad eye, EasyNegativeV2, ng_deepnegative_v1_75t 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:55, 1.90s/it] 7%|▋ | 2/30 [00:03<00:49, 1.78s/it] 10%|█ | 3/30 [00:05<00:48, 1.80s/it] 13%|█▎ | 4/30 [00:07<00:46, 1.80s/it] 17%|█▋ | 5/30 [00:09<00:45, 1.82s/it] 20%|██ | 6/30 [00:10<00:43, 1.82s/it] 23%|██▎ | 7/30 [00:12<00:41, 1.79s/it] 27%|██▋ | 8/30 [00:14<00:39, 1.77s/it] 30%|███ | 9/30 [00:16<00:37, 1.79s/it] 33%|███▎ | 10/30 [00:18<00:36, 1.81s/it] 37%|███▋ | 11/30 [00:19<00:34, 1.80s/it] 40%|████ | 12/30 [00:21<00:31, 1.78s/it] 43%|████▎ | 13/30 [00:23<00:30, 1.78s/it] 47%|████▋ | 14/30 [00:24<00:27, 1.69s/it] 50%|█████ | 15/30 [00:26<00:24, 1.65s/it] 53%|█████▎ | 16/30 [00:27<00:22, 1.60s/it] 57%|█████▋ | 17/30 [00:29<00:20, 1.60s/it] 60%|██████ | 18/30 [00:31<00:19, 1.63s/it] 63%|██████▎ | 19/30 [00:32<00:17, 1.62s/it] 67%|██████▋ | 20/30 [00:34<00:16, 1.64s/it] 70%|███████ | 21/30 [00:36<00:14, 1.63s/it] 73%|███████▎ | 22/30 [00:37<00:13, 1.65s/it] 77%|███████▋ | 23/30 [00:39<00:10, 1.56s/it] 80%|████████ | 24/30 [00:40<00:09, 1.50s/it] 83%|████████▎ | 25/30 [00:42<00:07, 1.52s/it] 87%|████████▋ | 26/30 [00:43<00:06, 1.55s/it] 90%|█████████ | 27/30 [00:45<00:04, 1.54s/it] 93%|█████████▎| 28/30 [00:46<00:03, 1.53s/it] 97%|█████████▋| 29/30 [00:47<00:01, 1.34s/it] 100%|██████████| 30/30 [00:48<00:00, 1.12s/it] 100%|██████████| 30/30 [00:48<00:00, 1.61s/it] Decoding latents in cuda:0... done in 1.63s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 8.4ms Speed: 3.1ms preprocess, 8.4ms inference, 33.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:08, 1.48it/s] 14%|█▍ | 2/14 [00:01<00:06, 1.82it/s] 21%|██▏ | 3/14 [00:01<00:05, 2.00it/s] 29%|██▊ | 4/14 [00:02<00:04, 2.02it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.12it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.11it/s] 50%|█████ | 7/14 [00:03<00:03, 2.23it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.29it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.31it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.29it/s] 79%|███████▊ | 11/14 [00:05<00:01, 2.28it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.31it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.55it/s] 100%|██████████| 14/14 [00:06<00:00, 2.98it/s] 100%|██████████| 14/14 [00:06<00:00, 2.33it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.01s 0: 640x640 2 hands, 7.3ms Speed: 3.1ms preprocess, 7.3ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:06, 2.13it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.08it/s] 21%|██▏ | 3/14 [00:01<00:05, 2.17it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.12it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.18it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.12it/s] 50%|█████ | 7/14 [00:03<00:03, 2.24it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.32it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.31it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.28it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.28it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.31it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.61it/s] 100%|██████████| 14/14 [00:05<00:00, 2.98it/s] 100%|██████████| 14/14 [00:05<00:00, 2.39it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:06, 2.13it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.16it/s] 21%|██▏ | 3/14 [00:01<00:05, 2.14it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.14it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.17it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.16it/s] 50%|█████ | 7/14 [00:03<00:03, 2.29it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.30it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.27it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.19it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.23it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.24it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.55it/s] 100%|██████████| 14/14 [00:05<00:00, 3.00it/s] 100%|██████████| 14/14 [00:05<00:00, 2.38it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 2.7ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.21it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.24it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.29it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.24it/s] 36%|███▌ | 5/14 [00:02<00:03, 2.27it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.22it/s] 50%|█████ | 7/14 [00:03<00:02, 2.34it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.39it/s] 64%|██████▍ | 9/14 [00:03<00:02, 2.40it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.36it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.31it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.32it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.59it/s] 100%|██████████| 14/14 [00:05<00:00, 3.00it/s] 100%|██████████| 14/14 [00:05<00:00, 2.46it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 1 face, 9.1ms Speed: 2.8ms preprocess, 9.1ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:06, 2.12it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.18it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.25it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.16it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.22it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.19it/s] 50%|█████ | 7/14 [00:03<00:03, 2.31it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.40it/s] 64%|██████▍ | 9/14 [00:03<00:02, 2.36it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.30it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.28it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.31it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.53it/s] 100%|██████████| 14/14 [00:05<00:00, 2.98it/s] 100%|██████████| 14/14 [00:05<00:00, 2.43it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.5ms Speed: 3.1ms preprocess, 7.5ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.17it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.19it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.25it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.20it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.23it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.21it/s] 50%|█████ | 7/14 [00:03<00:03, 2.29it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.36it/s] 64%|██████▍ | 9/14 [00:03<00:02, 2.34it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.28it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.29it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.28it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.56it/s] 100%|██████████| 14/14 [00:05<00:00, 2.99it/s] 100%|██████████| 14/14 [00:05<00:00, 2.42it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.5ms Speed: 2.9ms preprocess, 8.5ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.19it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.14it/s] 21%|██▏ | 3/14 [00:01<00:05, 2.20it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.12it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.18it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.18it/s] 50%|█████ | 7/14 [00:03<00:03, 2.30it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.37it/s] 64%|██████▍ | 9/14 [00:03<00:02, 2.35it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.32it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.31it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.30it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.59it/s] 100%|██████████| 14/14 [00:05<00:00, 3.02it/s] 100%|██████████| 14/14 [00:05<00:00, 2.43it/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: 2.8ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Uploading outputs... Finished.
prompt
Specify things to see in the output
furry female, cowboy shot, furry, white body fur, castle background, <lora:lora_Furry_female:0.8>, gold armor, white hair, hair between eyes, green eyes, long hair, <lora:more_details:0.7>
negative_prompt
Specify things to not see in the output
(more than 2 tails), (more than 2 legs), nude, (nsfw:1), (nipples:1), human skin, human, smooth skin, blurry, jpeg artifacts, sketch, paintings, username, watermark, signature, normal quality, worst quality, large head, low quality, extra digits, bad eye, EasyNegativeV2, ng_deepnegative_v1_75t
StL_Areko
St L Areko
0.7
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
0.45
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.
2864287828
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
5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
clearvae_v2.3_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
more_details.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_Furry_female.safetensors
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)
EasyNegativeV2.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
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/590b9643389542a6942658e3ce2c8360/00000-2864287828.webp
https://files.tungsten.run/uploads/1456fcf791864074b873ffa8f90e7635/00001-2864287829.webp
https://files.tungsten.run/uploads/61acd67a562b424fb1fea83fedec683d/00002-2864287830.webp
https://files.tungsten.run/uploads/8dd43af34dd748f6845b848a66549cfd/00003-2864287831.webp
Finished in 110.1 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: furry female, cowboy shot, furry, white body fur, castle background, <lora:lora_Furry_female:0.8>, gold armor, white hair, hair between eyes, green eyes, long hair, <lora:more_details:0.7>, <lora:StL_Areko:0.7> Full negative prompt: (more than 2 tails), (more than 2 legs), nude, (nsfw:1), (nipples:1), human skin, human, smooth skin, blurry, jpeg artifacts, sketch, paintings, username, watermark, signature, normal quality, worst quality, large head, low quality, extra digits, bad eye, EasyNegativeV2, ng_deepnegative_v1_75t 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:55, 1.90s/it] 7%|▋ | 2/30 [00:03<00:49, 1.78s/it] 10%|█ | 3/30 [00:05<00:48, 1.80s/it] 13%|█▎ | 4/30 [00:07<00:46, 1.80s/it] 17%|█▋ | 5/30 [00:09<00:45, 1.82s/it] 20%|██ | 6/30 [00:10<00:43, 1.82s/it] 23%|██▎ | 7/30 [00:12<00:41, 1.79s/it] 27%|██▋ | 8/30 [00:14<00:39, 1.77s/it] 30%|███ | 9/30 [00:16<00:37, 1.79s/it] 33%|███▎ | 10/30 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latents to cpu... done in 0.02s 0: 640x640 1 face, 8.4ms Speed: 3.1ms preprocess, 8.4ms inference, 33.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:08, 1.48it/s] 14%|█▍ | 2/14 [00:01<00:06, 1.82it/s] 21%|██▏ | 3/14 [00:01<00:05, 2.00it/s] 29%|██▊ | 4/14 [00:02<00:04, 2.02it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.12it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.11it/s] 50%|█████ | 7/14 [00:03<00:03, 2.23it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.29it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.31it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.29it/s] 79%|███████▊ | 11/14 [00:05<00:01, 2.28it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.31it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.55it/s] 100%|██████████| 14/14 [00:06<00:00, 2.98it/s] 100%|██████████| 14/14 [00:06<00:00, 2.33it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.01s 0: 640x640 2 hands, 7.3ms Speed: 3.1ms preprocess, 7.3ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:06, 2.13it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.08it/s] 21%|██▏ | 3/14 [00:01<00:05, 2.17it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.12it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.18it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.12it/s] 50%|█████ | 7/14 [00:03<00:03, 2.24it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.32it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.31it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.28it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.28it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.31it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.61it/s] 100%|██████████| 14/14 [00:05<00:00, 2.98it/s] 100%|██████████| 14/14 [00:05<00:00, 2.39it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:06, 2.13it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.16it/s] 21%|██▏ | 3/14 [00:01<00:05, 2.14it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.14it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.17it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.16it/s] 50%|█████ | 7/14 [00:03<00:03, 2.29it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.30it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.27it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.19it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.23it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.24it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.55it/s] 100%|██████████| 14/14 [00:05<00:00, 3.00it/s] 100%|██████████| 14/14 [00:05<00:00, 2.38it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 2.7ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.21it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.24it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.29it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.24it/s] 36%|███▌ | 5/14 [00:02<00:03, 2.27it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.22it/s] 50%|█████ | 7/14 [00:03<00:02, 2.34it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.39it/s] 64%|██████▍ | 9/14 [00:03<00:02, 2.40it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.36it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.31it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.32it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.59it/s] 100%|██████████| 14/14 [00:05<00:00, 3.00it/s] 100%|██████████| 14/14 [00:05<00:00, 2.46it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 1 face, 9.1ms Speed: 2.8ms preprocess, 9.1ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:06, 2.12it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.18it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.25it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.16it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.22it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.19it/s] 50%|█████ | 7/14 [00:03<00:03, 2.31it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.40it/s] 64%|██████▍ | 9/14 [00:03<00:02, 2.36it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.30it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.28it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.31it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.53it/s] 100%|██████████| 14/14 [00:05<00:00, 2.98it/s] 100%|██████████| 14/14 [00:05<00:00, 2.43it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.5ms Speed: 3.1ms preprocess, 7.5ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.17it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.19it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.25it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.20it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.23it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.21it/s] 50%|█████ | 7/14 [00:03<00:03, 2.29it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.36it/s] 64%|██████▍ | 9/14 [00:03<00:02, 2.34it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.28it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.29it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.28it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.56it/s] 100%|██████████| 14/14 [00:05<00:00, 2.99it/s] 100%|██████████| 14/14 [00:05<00:00, 2.42it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.5ms Speed: 2.9ms preprocess, 8.5ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.19it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.14it/s] 21%|██▏ | 3/14 [00:01<00:05, 2.20it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.12it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.18it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.18it/s] 50%|█████ | 7/14 [00:03<00:03, 2.30it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.37it/s] 64%|██████▍ | 9/14 [00:03<00:02, 2.35it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.32it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.31it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.30it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.59it/s] 100%|██████████| 14/14 [00:05<00:00, 3.02it/s] 100%|██████████| 14/14 [00:05<00:00, 2.43it/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: 2.8ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Uploading outputs... Finished.