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Cute Berets with Mf Mix
mf-mix:v1.0
evevalentine2017
evevalentine2017
·
Jan 6
331
Input
prompt
Specify things to see in the output
((Cute anime face)), (best quality), (ultra-detailed), (best illustration), (extremely delicate and beautiful), (album cover), album, album description, (error), ((glitch lump) on face), (glitch art: 1.5), (Pixilation on face), Double exposure, (Chromatic Aberration), Light leaks, Noise and grain, Color degradation, Glitch lettering, design, 1 girl, art, abstract art, (flat chest, short red hair, short wavy hair, floating black jacket, white school uniform, white beret, bowknot over white beret, floating black feathers: 0.5), geometry, clear lines, squares, bright, limited palette, <lora:add_detail:0.7>
negative_prompt
Specify things to not see in the output
easynegative, ng_deepnegative_v1_75t, (bad-hands-5:1.2), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, ((monochrome)), ((grayscale)) watermark, moles, large breast, big breast
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.
2758018263
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
Euler a
samping_steps
Number of denoising steps
25
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
kl-f8-anime2_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)
easynegative.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)
bad-hands-5.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
Output
https://files.tungsten.run/uploads/7fbc788490c043dda3e64bc04d3db56c/00000-2758018263.webp
https://files.tungsten.run/uploads/284df4e5ba3e4990b09e26d6afdb098e/00001-2758018264.webp
https://files.tungsten.run/uploads/9a6c9e9541cd4eabb3f4a78129ce73f8/00002-2758018265.webp
https://files.tungsten.run/uploads/35beb241852f4ef88bb1f01857bd5719/00003-2758018266.webp
Finished in 43.1 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: ((Cute anime face)), (best quality), (ultra-detailed), (best illustration), (extremely delicate and beautiful), (album cover), album, album description, (error), ((glitch lump) on face), (glitch art: 1.5), (Pixilation on face), Double exposure, (Chromatic Aberration), Light leaks, Noise and grain, Color degradation, Glitch lettering, design, 1 girl, art, abstract art, (flat chest, short red hair, short wavy hair, floating black jacket, white school uniform, white beret, bowknot over white beret, floating black feathers: 0.5), geometry, clear lines, squares, bright, limited palette Full negative prompt: easynegative, ng_deepnegative_v1_75t, (bad-hands-5:1.2), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, ((monochrome)), ((grayscale)) watermark, moles, large breast, big breast 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:00<00:16, 1.45it/s] 8%|▊ | 2/25 [00:01<00:15, 1.52it/s] 12%|█▏ | 3/25 [00:01<00:14, 1.55it/s] 16%|█▌ | 4/25 [00:02<00:13, 1.56it/s] 20%|██ | 5/25 [00:03<00:12, 1.57it/s] 24%|██▍ | 6/25 [00:03<00:12, 1.58it/s] 28%|██▊ | 7/25 [00:04<00:11, 1.58it/s] 32%|███▏ | 8/25 [00:05<00:10, 1.58it/s] 36%|███▌ | 9/25 [00:05<00:10, 1.58it/s] 40%|████ | 10/25 [00:06<00:09, 1.58it/s] 44%|████▍ | 11/25 [00:07<00:08, 1.58it/s] 48%|████▊ | 12/25 [00:07<00:08, 1.58it/s] 52%|█████▏ | 13/25 [00:08<00:07, 1.58it/s] 56%|█████▌ | 14/25 [00:08<00:06, 1.58it/s] 60%|██████ | 15/25 [00:09<00:06, 1.58it/s] 64%|██████▍ | 16/25 [00:10<00:05, 1.58it/s] 68%|██████▊ | 17/25 [00:10<00:05, 1.58it/s] 72%|███████▏ | 18/25 [00:11<00:04, 1.58it/s] 76%|███████▌ | 19/25 [00:12<00:03, 1.58it/s] 80%|████████ | 20/25 [00:12<00:03, 1.58it/s] 84%|████████▍ | 21/25 [00:13<00:02, 1.58it/s] 88%|████████▊ | 22/25 [00:13<00:01, 1.58it/s] 92%|█████████▏| 23/25 [00:14<00:01, 1.58it/s] 96%|█████████▌| 24/25 [00:15<00:00, 1.58it/s] 100%|██████████| 25/25 [00:15<00:00, 1.59it/s] 100%|██████████| 25/25 [00:15<00:00, 1.58it/s] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.9ms Speed: 2.8ms preprocess, 7.9ms inference, 46.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:04, 2.53it/s] 17%|█▋ | 2/12 [00:00<00:02, 3.38it/s] 25%|██▌ | 3/12 [00:00<00:02, 3.94it/s] 33%|███▎ | 4/12 [00:01<00:01, 4.31it/s] 42%|████▏ | 5/12 [00:01<00:01, 4.53it/s] 50%|█████ | 6/12 [00:01<00:01, 4.68it/s] 58%|█████▊ | 7/12 [00:01<00:01, 4.60it/s] 67%|██████▋ | 8/12 [00:01<00:00, 4.74it/s] 75%|███████▌ | 9/12 [00:02<00:00, 4.79it/s] 83%|████████▎ | 10/12 [00:02<00:00, 4.83it/s] 92%|█████████▏| 11/12 [00:02<00:00, 4.88it/s] 100%|██████████| 12/12 [00:02<00:00, 4.79it/s] 100%|██████████| 12/12 [00:02<00:00, 4.49it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.1ms Speed: 2.8ms preprocess, 7.1ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:02, 4.84it/s] 17%|█▋ | 2/12 [00:00<00:02, 4.96it/s] 25%|██▌ | 3/12 [00:00<00:01, 4.76it/s] 33%|███▎ | 4/12 [00:00<00:01, 4.77it/s] 42%|████▏ | 5/12 [00:01<00:01, 4.78it/s] 50%|█████ | 6/12 [00:01<00:01, 4.82it/s] 58%|█████▊ | 7/12 [00:01<00:01, 4.87it/s] 67%|██████▋ | 8/12 [00:01<00:00, 4.78it/s] 75%|███████▌ | 9/12 [00:01<00:00, 4.85it/s] 83%|████████▎ | 10/12 [00:02<00:00, 4.88it/s] 92%|█████████▏| 11/12 [00:02<00:00, 4.87it/s] 100%|██████████| 12/12 [00:02<00:00, 4.93it/s] 100%|██████████| 12/12 [00:02<00:00, 4.86it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 6.8ms Speed: 2.6ms preprocess, 6.8ms 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, 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:02, 4.79it/s] 17%|█▋ | 2/12 [00:00<00:02, 4.88it/s] 25%|██▌ | 3/12 [00:00<00:01, 4.67it/s] 33%|███▎ | 4/12 [00:00<00:01, 4.79it/s] 42%|████▏ | 5/12 [00:01<00:01, 4.87it/s] 50%|█████ | 6/12 [00:01<00:01, 4.87it/s] 58%|█████▊ | 7/12 [00:01<00:01, 4.87it/s] 67%|██████▋ | 8/12 [00:01<00:00, 4.70it/s] 75%|███████▌ | 9/12 [00:01<00:00, 4.80it/s] 83%|████████▎ | 10/12 [00:02<00:00, 4.85it/s] 92%|█████████▏| 11/12 [00:02<00:00, 4.89it/s] 100%|██████████| 12/12 [00:02<00:00, 4.95it/s] 100%|██████████| 12/12 [00:02<00:00, 4.85it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 6.8ms Speed: 2.7ms preprocess, 6.8ms 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, 7.9ms Speed: 2.7ms preprocess, 7.9ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:02, 4.89it/s] 17%|█▋ | 2/12 [00:00<00:02, 4.92it/s] 25%|██▌ | 3/12 [00:00<00:01, 4.92it/s] 33%|███▎ | 4/12 [00:00<00:01, 4.93it/s] 42%|████▏ | 5/12 [00:01<00:01, 4.77it/s] 50%|█████ | 6/12 [00:01<00:01, 4.83it/s] 58%|█████▊ | 7/12 [00:01<00:01, 4.83it/s] 67%|██████▋ | 8/12 [00:01<00:00, 4.85it/s] 75%|███████▌ | 9/12 [00:01<00:00, 4.87it/s] 83%|████████▎ | 10/12 [00:02<00:00, 4.69it/s] 92%|█████████▏| 11/12 [00:02<00:00, 4.78it/s] 100%|██████████| 12/12 [00:02<00:00, 4.88it/s] 100%|██████████| 12/12 [00:02<00:00, 4.84it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.0ms Speed: 2.8ms preprocess, 7.0ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:02, 5.03it/s] 17%|█▋ | 2/12 [00:00<00:02, 4.66it/s] 25%|██▌ | 3/12 [00:00<00:01, 4.82it/s] 33%|███▎ | 4/12 [00:00<00:01, 4.89it/s] 42%|████▏ | 5/12 [00:01<00:01, 4.94it/s] 50%|█████ | 6/12 [00:01<00:01, 4.96it/s] 58%|█████▊ | 7/12 [00:01<00:01, 4.79it/s] 67%|██████▋ | 8/12 [00:01<00:00, 4.87it/s] 75%|███████▌ | 9/12 [00:01<00:00, 4.91it/s] 83%|████████▎ | 10/12 [00:02<00:00, 4.94it/s] 92%|█████████▏| 11/12 [00:02<00:00, 4.96it/s] 100%|██████████| 12/12 [00:02<00:00, 4.66it/s] 100%|██████████| 12/12 [00:02<00:00, 4.82it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
((Cute anime face)), (best quality), (ultra-detailed), (best illustration), (extremely delicate and beautiful), (album cover), album, album description, (error), ((glitch lump) on face), (glitch art: 1.5), (Pixilation on face), Double exposure, (Chromatic Aberration), Light leaks, Noise and grain, Color degradation, Glitch lettering, design, 1 girl, art, abstract art, (flat chest, short red hair, short wavy hair, floating black jacket, white school uniform, white beret, bowknot over white beret, floating black feathers: 0.5), geometry, clear lines, squares, bright, limited palette, <lora:add_detail:0.7>
negative_prompt
Specify things to not see in the output
easynegative, ng_deepnegative_v1_75t, (bad-hands-5:1.2), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, ((monochrome)), ((grayscale)) watermark, moles, large breast, big breast
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.
2758018263
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
Euler a
samping_steps
Number of denoising steps
25
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
kl-f8-anime2_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)
easynegative.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)
bad-hands-5.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/7fbc788490c043dda3e64bc04d3db56c/00000-2758018263.webp
https://files.tungsten.run/uploads/284df4e5ba3e4990b09e26d6afdb098e/00001-2758018264.webp
https://files.tungsten.run/uploads/9a6c9e9541cd4eabb3f4a78129ce73f8/00002-2758018265.webp
https://files.tungsten.run/uploads/35beb241852f4ef88bb1f01857bd5719/00003-2758018266.webp
Finished in 43.1 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: ((Cute anime face)), (best quality), (ultra-detailed), (best illustration), (extremely delicate and beautiful), (album cover), album, album description, (error), ((glitch lump) on face), (glitch art: 1.5), (Pixilation on face), Double exposure, (Chromatic Aberration), Light leaks, Noise and grain, Color degradation, Glitch lettering, design, 1 girl, art, abstract art, (flat chest, short red hair, short wavy hair, floating black jacket, white school uniform, white beret, bowknot over white beret, floating black feathers: 0.5), geometry, clear lines, squares, bright, limited palette Full negative prompt: easynegative, ng_deepnegative_v1_75t, (bad-hands-5:1.2), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, ((monochrome)), ((grayscale)) watermark, moles, large breast, big breast 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:00<00:16, 1.45it/s] 8%|▊ | 2/25 [00:01<00:15, 1.52it/s] 12%|█▏ | 3/25 [00:01<00:14, 1.55it/s] 16%|█▌ | 4/25 [00:02<00:13, 1.56it/s] 20%|██ | 5/25 [00:03<00:12, 1.57it/s] 24%|██▍ | 6/25 [00:03<00:12, 1.58it/s] 28%|██▊ | 7/25 [00:04<00:11, 1.58it/s] 32%|███▏ | 8/25 [00:05<00:10, 1.58it/s] 36%|███▌ | 9/25 [00:05<00:10, 1.58it/s] 40%|████ | 10/25 [00:06<00:09, 1.58it/s] 44%|████▍ | 11/25 [00:07<00:08, 1.58it/s] 48%|████▊ | 12/25 [00:07<00:08, 1.58it/s] 52%|█████▏ | 13/25 [00:08<00:07, 1.58it/s] 56%|█████▌ | 14/25 [00:08<00:06, 1.58it/s] 60%|██████ | 15/25 [00:09<00:06, 1.58it/s] 64%|██████▍ | 16/25 [00:10<00:05, 1.58it/s] 68%|██████▊ | 17/25 [00:10<00:05, 1.58it/s] 72%|███████▏ | 18/25 [00:11<00:04, 1.58it/s] 76%|███████▌ | 19/25 [00:12<00:03, 1.58it/s] 80%|████████ | 20/25 [00:12<00:03, 1.58it/s] 84%|████████▍ | 21/25 [00:13<00:02, 1.58it/s] 88%|████████▊ | 22/25 [00:13<00:01, 1.58it/s] 92%|█████████▏| 23/25 [00:14<00:01, 1.58it/s] 96%|█████████▌| 24/25 [00:15<00:00, 1.58it/s] 100%|██████████| 25/25 [00:15<00:00, 1.59it/s] 100%|██████████| 25/25 [00:15<00:00, 1.58it/s] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.9ms Speed: 2.8ms preprocess, 7.9ms inference, 46.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:04, 2.53it/s] 17%|█▋ | 2/12 [00:00<00:02, 3.38it/s] 25%|██▌ | 3/12 [00:00<00:02, 3.94it/s] 33%|███▎ | 4/12 [00:01<00:01, 4.31it/s] 42%|████▏ | 5/12 [00:01<00:01, 4.53it/s] 50%|█████ | 6/12 [00:01<00:01, 4.68it/s] 58%|█████▊ | 7/12 [00:01<00:01, 4.60it/s] 67%|██████▋ | 8/12 [00:01<00:00, 4.74it/s] 75%|███████▌ | 9/12 [00:02<00:00, 4.79it/s] 83%|████████▎ | 10/12 [00:02<00:00, 4.83it/s] 92%|█████████▏| 11/12 [00:02<00:00, 4.88it/s] 100%|██████████| 12/12 [00:02<00:00, 4.79it/s] 100%|██████████| 12/12 [00:02<00:00, 4.49it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.1ms Speed: 2.8ms preprocess, 7.1ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:02, 4.84it/s] 17%|█▋ | 2/12 [00:00<00:02, 4.96it/s] 25%|██▌ | 3/12 [00:00<00:01, 4.76it/s] 33%|███▎ | 4/12 [00:00<00:01, 4.77it/s] 42%|████▏ | 5/12 [00:01<00:01, 4.78it/s] 50%|█████ | 6/12 [00:01<00:01, 4.82it/s] 58%|█████▊ | 7/12 [00:01<00:01, 4.87it/s] 67%|██████▋ | 8/12 [00:01<00:00, 4.78it/s] 75%|███████▌ | 9/12 [00:01<00:00, 4.85it/s] 83%|████████▎ | 10/12 [00:02<00:00, 4.88it/s] 92%|█████████▏| 11/12 [00:02<00:00, 4.87it/s] 100%|██████████| 12/12 [00:02<00:00, 4.93it/s] 100%|██████████| 12/12 [00:02<00:00, 4.86it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 6.8ms Speed: 2.6ms preprocess, 6.8ms 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, 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:02, 4.79it/s] 17%|█▋ | 2/12 [00:00<00:02, 4.88it/s] 25%|██▌ | 3/12 [00:00<00:01, 4.67it/s] 33%|███▎ | 4/12 [00:00<00:01, 4.79it/s] 42%|████▏ | 5/12 [00:01<00:01, 4.87it/s] 50%|█████ | 6/12 [00:01<00:01, 4.87it/s] 58%|█████▊ | 7/12 [00:01<00:01, 4.87it/s] 67%|██████▋ | 8/12 [00:01<00:00, 4.70it/s] 75%|███████▌ | 9/12 [00:01<00:00, 4.80it/s] 83%|████████▎ | 10/12 [00:02<00:00, 4.85it/s] 92%|█████████▏| 11/12 [00:02<00:00, 4.89it/s] 100%|██████████| 12/12 [00:02<00:00, 4.95it/s] 100%|██████████| 12/12 [00:02<00:00, 4.85it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 6.8ms Speed: 2.7ms preprocess, 6.8ms 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, 7.9ms Speed: 2.7ms preprocess, 7.9ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:02, 4.89it/s] 17%|█▋ | 2/12 [00:00<00:02, 4.92it/s] 25%|██▌ | 3/12 [00:00<00:01, 4.92it/s] 33%|███▎ | 4/12 [00:00<00:01, 4.93it/s] 42%|████▏ | 5/12 [00:01<00:01, 4.77it/s] 50%|█████ | 6/12 [00:01<00:01, 4.83it/s] 58%|█████▊ | 7/12 [00:01<00:01, 4.83it/s] 67%|██████▋ | 8/12 [00:01<00:00, 4.85it/s] 75%|███████▌ | 9/12 [00:01<00:00, 4.87it/s] 83%|████████▎ | 10/12 [00:02<00:00, 4.69it/s] 92%|█████████▏| 11/12 [00:02<00:00, 4.78it/s] 100%|██████████| 12/12 [00:02<00:00, 4.88it/s] 100%|██████████| 12/12 [00:02<00:00, 4.84it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.0ms Speed: 2.8ms preprocess, 7.0ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:02, 5.03it/s] 17%|█▋ | 2/12 [00:00<00:02, 4.66it/s] 25%|██▌ | 3/12 [00:00<00:01, 4.82it/s] 33%|███▎ | 4/12 [00:00<00:01, 4.89it/s] 42%|████▏ | 5/12 [00:01<00:01, 4.94it/s] 50%|█████ | 6/12 [00:01<00:01, 4.96it/s] 58%|█████▊ | 7/12 [00:01<00:01, 4.79it/s] 67%|██████▋ | 8/12 [00:01<00:00, 4.87it/s] 75%|███████▌ | 9/12 [00:01<00:00, 4.91it/s] 83%|████████▎ | 10/12 [00:02<00:00, 4.94it/s] 92%|█████████▏| 11/12 [00:02<00:00, 4.96it/s] 100%|██████████| 12/12 [00:02<00:00, 4.66it/s] 100%|██████████| 12/12 [00:02<00:00, 4.82it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Uploading outputs... Finished.