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Amazing Dancers with Atomix Anime
atomix-anime:v1.0
evevalentine2017
evevalentine2017
·
Jan 13
391
Input
prompt
Specify things to see in the output
<lora:zhongfenghuaxiyou-000018:0.4>, zhongfenghua, 1girl, waist up, solo, hanfu, ancient_chinese_architecture, flower field, blossom, (white smoke:1.3) (photorealistic:1.4), zentangle, mandala, entangle, official art, unity 8k wallpaper, ultra detailed, beautiful and aesthetic, masterpiece,best quality, (dynamic angle:1.4), glowing skin, (floating colorful sparkles:1) the most beautiful form of chaos, elegant, a brutalist designed, vivid colours, romanticism, depth of field <lora:ExoticDance:0.7> exotic_dance, half_naked, dancing, <lora:add_detail:0.5>,
negative_prompt
Specify things to not see in the output
(worst quality, low quality:1.4), (deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation. tattoo, watermark, text, badhandv4, NegfeetV2
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.
2851791112
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 Karras
samping_steps
Number of denoising steps
20
cfg_scale
Scale for classifier-free guidance
8
clip_skip
The number of last layers of CLIP network to skip
1
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>
ExoticDance.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
zhongfenghuaxiyou-000018.safetensors
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
badhandv4.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
NegfeetV2.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/b7ac56c21f9b449e80587bfc4e014560/00000-2851791112.webp
https://files.tungsten.run/uploads/d5de56a856204411af060124cab09075/00001-2851791113.webp
https://files.tungsten.run/uploads/7bdf965b80214eac8f90b432e56a3453/00002-2851791114.webp
https://files.tungsten.run/uploads/0c09c47c56ba4b3baf17f3d75c38e86d/00003-2851791115.webp
Finished in 51.2 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: <lora:zhongfenghuaxiyou-000018:0.4>, zhongfenghua, 1girl, waist up, solo, hanfu, ancient_chinese_architecture, flower field, blossom, (white smoke:1.3) (photorealistic:1.4), zentangle, mandala, entangle, official art, unity 8k wallpaper, ultra detailed, beautiful and aesthetic, masterpiece,best quality, (dynamic angle:1.4), glowing skin, (floating colorful sparkles:1) the most beautiful form of chaos, elegant, a brutalist designed, vivid colours, romanticism, depth of field <lora:ExoticDance:0.7> exotic_dance, half_naked, dancing, Full negative prompt: (worst quality, low quality:1.4), (deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation. tattoo, watermark, text, badhandv4, NegfeetV2 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:01<00:24, 1.28s/it] 10%|█ | 2/20 [00:01<00:16, 1.10it/s] 15%|█▌ | 3/20 [00:02<00:13, 1.28it/s] 20%|██ | 4/20 [00:03<00:11, 1.38it/s] 25%|██▌ | 5/20 [00:03<00:10, 1.44it/s] 30%|███ | 6/20 [00:04<00:09, 1.47it/s] 35%|███▌ | 7/20 [00:05<00:08, 1.49it/s] 40%|████ | 8/20 [00:05<00:07, 1.51it/s] 45%|████▌ | 9/20 [00:06<00:07, 1.52it/s] 50%|█████ | 10/20 [00:07<00:06, 1.53it/s] 55%|█████▌ | 11/20 [00:07<00:05, 1.53it/s] 60%|██████ | 12/20 [00:08<00:05, 1.53it/s] 65%|██████▌ | 13/20 [00:09<00:04, 1.54it/s] 70%|███████ | 14/20 [00:09<00:03, 1.54it/s] 75%|███████▌ | 15/20 [00:10<00:03, 1.54it/s] 80%|████████ | 16/20 [00:10<00:02, 1.53it/s] 85%|████████▌ | 17/20 [00:11<00:01, 1.53it/s] 90%|█████████ | 18/20 [00:12<00:01, 1.53it/s] 95%|█████████▌| 19/20 [00:12<00:00, 1.53it/s] 100%|██████████| 20/20 [00:13<00:00, 1.53it/s] 100%|██████████| 20/20 [00:13<00:00, 1.47it/s] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.6ms Speed: 2.8ms preprocess, 7.6ms inference, 31.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:03, 2.47it/s] 20%|██ | 2/10 [00:00<00:02, 3.51it/s] 30%|███ | 3/10 [00:00<00:01, 4.08it/s] 40%|████ | 4/10 [00:01<00:01, 4.41it/s] 50%|█████ | 5/10 [00:01<00:01, 4.29it/s] 60%|██████ | 6/10 [00:01<00:00, 4.52it/s] 70%|███████ | 7/10 [00:01<00:00, 4.68it/s] 80%|████████ | 8/10 [00:01<00:00, 4.80it/s] 90%|█████████ | 9/10 [00:02<00:00, 4.86it/s] 100%|██████████| 10/10 [00:02<00:00, 4.85it/s] 100%|██████████| 10/10 [00:02<00:00, 4.45it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.1ms Speed: 2.7ms preprocess, 7.1ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 5.09it/s] 20%|██ | 2/10 [00:00<00:01, 5.09it/s] 30%|███ | 3/10 [00:00<00:01, 5.11it/s] 40%|████ | 4/10 [00:00<00:01, 5.08it/s] 50%|█████ | 5/10 [00:00<00:00, 5.04it/s] 60%|██████ | 6/10 [00:01<00:00, 5.04it/s] 70%|███████ | 7/10 [00:01<00:00, 5.03it/s] 80%|████████ | 8/10 [00:01<00:00, 5.01it/s] 90%|█████████ | 9/10 [00:01<00:00, 5.00it/s] 100%|██████████| 10/10 [00:02<00:00, 4.89it/s] 100%|██████████| 10/10 [00:02<00:00, 4.99it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.99it/s] 20%|██ | 2/10 [00:00<00:01, 4.84it/s] 30%|███ | 3/10 [00:00<00:01, 4.95it/s] 40%|████ | 4/10 [00:00<00:01, 4.99it/s] 50%|█████ | 5/10 [00:01<00:01, 4.99it/s] 60%|██████ | 6/10 [00:01<00:00, 5.00it/s] 70%|███████ | 7/10 [00:01<00:00, 4.90it/s] 80%|████████ | 8/10 [00:01<00:00, 4.94it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.97it/s] 100%|██████████| 10/10 [00:02<00:00, 4.97it/s] 100%|██████████| 10/10 [00:02<00:00, 4.96it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 2.7ms preprocess, 7.6ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.94it/s] 20%|██ | 2/10 [00:00<00:01, 5.00it/s] 30%|███ | 3/10 [00:00<00:01, 4.85it/s] 40%|████ | 4/10 [00:00<00:01, 4.94it/s] 50%|█████ | 5/10 [00:01<00:01, 4.98it/s] 60%|██████ | 6/10 [00:01<00:00, 5.01it/s] 70%|███████ | 7/10 [00:01<00:00, 5.01it/s] 80%|████████ | 8/10 [00:01<00:00, 4.93it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.95it/s] 100%|██████████| 10/10 [00:02<00:00, 4.99it/s] 100%|██████████| 10/10 [00:02<00:00, 4.97it/s] Decoding latents in cuda:0... done in 0.24s 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) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 5.11it/s] 20%|██ | 2/10 [00:00<00:01, 5.08it/s] 30%|███ | 3/10 [00:00<00:01, 4.95it/s] 40%|████ | 4/10 [00:00<00:01, 4.99it/s] 50%|█████ | 5/10 [00:00<00:01, 4.99it/s] 60%|██████ | 6/10 [00:01<00:00, 5.02it/s] 70%|███████ | 7/10 [00:01<00:00, 5.05it/s] 80%|████████ | 8/10 [00:01<00:00, 5.06it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.98it/s] 100%|██████████| 10/10 [00:01<00:00, 5.02it/s] 100%|██████████| 10/10 [00:01<00:00, 5.02it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 5.00it/s] 20%|██ | 2/10 [00:00<00:01, 4.98it/s] 30%|███ | 3/10 [00:00<00:01, 4.93it/s] 40%|████ | 4/10 [00:00<00:01, 4.88it/s] 50%|█████ | 5/10 [00:01<00:01, 4.93it/s] 60%|██████ | 6/10 [00:01<00:00, 4.94it/s] 70%|███████ | 7/10 [00:01<00:00, 4.94it/s] 80%|████████ | 8/10 [00:01<00:00, 4.92it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.85it/s] 100%|██████████| 10/10 [00:02<00:00, 4.88it/s] 100%|██████████| 10/10 [00:02<00:00, 4.91it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 6.7ms Speed: 2.5ms preprocess, 6.7ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.96it/s] 20%|██ | 2/10 [00:00<00:01, 4.99it/s] 30%|███ | 3/10 [00:00<00:01, 4.93it/s] 40%|████ | 4/10 [00:00<00:01, 5.00it/s] 50%|█████ | 5/10 [00:01<00:01, 4.56it/s] 60%|██████ | 6/10 [00:01<00:00, 4.72it/s] 70%|███████ | 7/10 [00:01<00:00, 4.81it/s] 80%|████████ | 8/10 [00:01<00:00, 4.90it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.95it/s] 100%|██████████| 10/10 [00:02<00:00, 4.95it/s] 100%|██████████| 10/10 [00:02<00:00, 4.88it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 5.04it/s] 20%|██ | 2/10 [00:00<00:01, 4.98it/s] 30%|███ | 3/10 [00:00<00:01, 5.03it/s] 40%|████ | 4/10 [00:00<00:01, 5.01it/s] 50%|█████ | 5/10 [00:01<00:01, 4.96it/s] 60%|██████ | 6/10 [00:01<00:00, 4.94it/s] 70%|███████ | 7/10 [00:01<00:00, 4.93it/s] 80%|████████ | 8/10 [00:01<00:00, 4.95it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.94it/s] 100%|██████████| 10/10 [00:02<00:00, 4.96it/s] 100%|██████████| 10/10 [00:02<00:00, 4.96it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.5ms Speed: 2.7ms preprocess, 8.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.96it/s] 20%|██ | 2/10 [00:00<00:01, 4.91it/s] 30%|███ | 3/10 [00:00<00:01, 4.94it/s] 40%|████ | 4/10 [00:00<00:01, 4.99it/s] 50%|█████ | 5/10 [00:01<00:00, 5.02it/s] 60%|██████ | 6/10 [00:01<00:00, 4.98it/s] 70%|███████ | 7/10 [00:01<00:00, 5.00it/s] 80%|████████ | 8/10 [00:01<00:00, 5.02it/s] 90%|█████████ | 9/10 [00:01<00:00, 5.00it/s] 100%|██████████| 10/10 [00:02<00:00, 5.02it/s] 100%|██████████| 10/10 [00:02<00:00, 5.00it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 8.7ms Speed: 2.7ms preprocess, 8.7ms 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
<lora:zhongfenghuaxiyou-000018:0.4>, zhongfenghua, 1girl, waist up, solo, hanfu, ancient_chinese_architecture, flower field, blossom, (white smoke:1.3) (photorealistic:1.4), zentangle, mandala, entangle, official art, unity 8k wallpaper, ultra detailed, beautiful and aesthetic, masterpiece,best quality, (dynamic angle:1.4), glowing skin, (floating colorful sparkles:1) the most beautiful form of chaos, elegant, a brutalist designed, vivid colours, romanticism, depth of field <lora:ExoticDance:0.7> exotic_dance, half_naked, dancing, <lora:add_detail:0.5>,
negative_prompt
Specify things to not see in the output
(worst quality, low quality:1.4), (deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation. tattoo, watermark, text, badhandv4, NegfeetV2
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.
2851791112
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 Karras
samping_steps
Number of denoising steps
20
cfg_scale
Scale for classifier-free guidance
8
clip_skip
The number of last layers of CLIP network to skip
1
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>
ExoticDance.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
zhongfenghuaxiyou-000018.safetensors
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
badhandv4.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
NegfeetV2.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/b7ac56c21f9b449e80587bfc4e014560/00000-2851791112.webp
https://files.tungsten.run/uploads/d5de56a856204411af060124cab09075/00001-2851791113.webp
https://files.tungsten.run/uploads/7bdf965b80214eac8f90b432e56a3453/00002-2851791114.webp
https://files.tungsten.run/uploads/0c09c47c56ba4b3baf17f3d75c38e86d/00003-2851791115.webp
Finished in 51.2 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: <lora:zhongfenghuaxiyou-000018:0.4>, zhongfenghua, 1girl, waist up, solo, hanfu, ancient_chinese_architecture, flower field, blossom, (white smoke:1.3) (photorealistic:1.4), zentangle, mandala, entangle, official art, unity 8k wallpaper, ultra detailed, beautiful and aesthetic, masterpiece,best quality, (dynamic angle:1.4), glowing skin, (floating colorful sparkles:1) the most beautiful form of chaos, elegant, a brutalist designed, vivid colours, romanticism, depth of field <lora:ExoticDance:0.7> exotic_dance, half_naked, dancing, Full negative prompt: (worst quality, low quality:1.4), (deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation. tattoo, watermark, text, badhandv4, NegfeetV2 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:01<00:24, 1.28s/it] 10%|█ | 2/20 [00:01<00:16, 1.10it/s] 15%|█▌ | 3/20 [00:02<00:13, 1.28it/s] 20%|██ | 4/20 [00:03<00:11, 1.38it/s] 25%|██▌ | 5/20 [00:03<00:10, 1.44it/s] 30%|███ | 6/20 [00:04<00:09, 1.47it/s] 35%|███▌ | 7/20 [00:05<00:08, 1.49it/s] 40%|████ | 8/20 [00:05<00:07, 1.51it/s] 45%|████▌ | 9/20 [00:06<00:07, 1.52it/s] 50%|█████ | 10/20 [00:07<00:06, 1.53it/s] 55%|█████▌ | 11/20 [00:07<00:05, 1.53it/s] 60%|██████ | 12/20 [00:08<00:05, 1.53it/s] 65%|██████▌ | 13/20 [00:09<00:04, 1.54it/s] 70%|███████ | 14/20 [00:09<00:03, 1.54it/s] 75%|███████▌ | 15/20 [00:10<00:03, 1.54it/s] 80%|████████ | 16/20 [00:10<00:02, 1.53it/s] 85%|████████▌ | 17/20 [00:11<00:01, 1.53it/s] 90%|█████████ | 18/20 [00:12<00:01, 1.53it/s] 95%|█████████▌| 19/20 [00:12<00:00, 1.53it/s] 100%|██████████| 20/20 [00:13<00:00, 1.53it/s] 100%|██████████| 20/20 [00:13<00:00, 1.47it/s] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.6ms Speed: 2.8ms preprocess, 7.6ms inference, 31.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:03, 2.47it/s] 20%|██ | 2/10 [00:00<00:02, 3.51it/s] 30%|███ | 3/10 [00:00<00:01, 4.08it/s] 40%|████ | 4/10 [00:01<00:01, 4.41it/s] 50%|█████ | 5/10 [00:01<00:01, 4.29it/s] 60%|██████ | 6/10 [00:01<00:00, 4.52it/s] 70%|███████ | 7/10 [00:01<00:00, 4.68it/s] 80%|████████ | 8/10 [00:01<00:00, 4.80it/s] 90%|█████████ | 9/10 [00:02<00:00, 4.86it/s] 100%|██████████| 10/10 [00:02<00:00, 4.85it/s] 100%|██████████| 10/10 [00:02<00:00, 4.45it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.1ms Speed: 2.7ms preprocess, 7.1ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 5.09it/s] 20%|██ | 2/10 [00:00<00:01, 5.09it/s] 30%|███ | 3/10 [00:00<00:01, 5.11it/s] 40%|████ | 4/10 [00:00<00:01, 5.08it/s] 50%|█████ | 5/10 [00:00<00:00, 5.04it/s] 60%|██████ | 6/10 [00:01<00:00, 5.04it/s] 70%|███████ | 7/10 [00:01<00:00, 5.03it/s] 80%|████████ | 8/10 [00:01<00:00, 5.01it/s] 90%|█████████ | 9/10 [00:01<00:00, 5.00it/s] 100%|██████████| 10/10 [00:02<00:00, 4.89it/s] 100%|██████████| 10/10 [00:02<00:00, 4.99it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.99it/s] 20%|██ | 2/10 [00:00<00:01, 4.84it/s] 30%|███ | 3/10 [00:00<00:01, 4.95it/s] 40%|████ | 4/10 [00:00<00:01, 4.99it/s] 50%|█████ | 5/10 [00:01<00:01, 4.99it/s] 60%|██████ | 6/10 [00:01<00:00, 5.00it/s] 70%|███████ | 7/10 [00:01<00:00, 4.90it/s] 80%|████████ | 8/10 [00:01<00:00, 4.94it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.97it/s] 100%|██████████| 10/10 [00:02<00:00, 4.97it/s] 100%|██████████| 10/10 [00:02<00:00, 4.96it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 2.7ms preprocess, 7.6ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.94it/s] 20%|██ | 2/10 [00:00<00:01, 5.00it/s] 30%|███ | 3/10 [00:00<00:01, 4.85it/s] 40%|████ | 4/10 [00:00<00:01, 4.94it/s] 50%|█████ | 5/10 [00:01<00:01, 4.98it/s] 60%|██████ | 6/10 [00:01<00:00, 5.01it/s] 70%|███████ | 7/10 [00:01<00:00, 5.01it/s] 80%|████████ | 8/10 [00:01<00:00, 4.93it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.95it/s] 100%|██████████| 10/10 [00:02<00:00, 4.99it/s] 100%|██████████| 10/10 [00:02<00:00, 4.97it/s] Decoding latents in cuda:0... done in 0.24s 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) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 5.11it/s] 20%|██ | 2/10 [00:00<00:01, 5.08it/s] 30%|███ | 3/10 [00:00<00:01, 4.95it/s] 40%|████ | 4/10 [00:00<00:01, 4.99it/s] 50%|█████ | 5/10 [00:00<00:01, 4.99it/s] 60%|██████ | 6/10 [00:01<00:00, 5.02it/s] 70%|███████ | 7/10 [00:01<00:00, 5.05it/s] 80%|████████ | 8/10 [00:01<00:00, 5.06it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.98it/s] 100%|██████████| 10/10 [00:01<00:00, 5.02it/s] 100%|██████████| 10/10 [00:01<00:00, 5.02it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 5.00it/s] 20%|██ | 2/10 [00:00<00:01, 4.98it/s] 30%|███ | 3/10 [00:00<00:01, 4.93it/s] 40%|████ | 4/10 [00:00<00:01, 4.88it/s] 50%|█████ | 5/10 [00:01<00:01, 4.93it/s] 60%|██████ | 6/10 [00:01<00:00, 4.94it/s] 70%|███████ | 7/10 [00:01<00:00, 4.94it/s] 80%|████████ | 8/10 [00:01<00:00, 4.92it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.85it/s] 100%|██████████| 10/10 [00:02<00:00, 4.88it/s] 100%|██████████| 10/10 [00:02<00:00, 4.91it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 6.7ms Speed: 2.5ms preprocess, 6.7ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.96it/s] 20%|██ | 2/10 [00:00<00:01, 4.99it/s] 30%|███ | 3/10 [00:00<00:01, 4.93it/s] 40%|████ | 4/10 [00:00<00:01, 5.00it/s] 50%|█████ | 5/10 [00:01<00:01, 4.56it/s] 60%|██████ | 6/10 [00:01<00:00, 4.72it/s] 70%|███████ | 7/10 [00:01<00:00, 4.81it/s] 80%|████████ | 8/10 [00:01<00:00, 4.90it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.95it/s] 100%|██████████| 10/10 [00:02<00:00, 4.95it/s] 100%|██████████| 10/10 [00:02<00:00, 4.88it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 5.04it/s] 20%|██ | 2/10 [00:00<00:01, 4.98it/s] 30%|███ | 3/10 [00:00<00:01, 5.03it/s] 40%|████ | 4/10 [00:00<00:01, 5.01it/s] 50%|█████ | 5/10 [00:01<00:01, 4.96it/s] 60%|██████ | 6/10 [00:01<00:00, 4.94it/s] 70%|███████ | 7/10 [00:01<00:00, 4.93it/s] 80%|████████ | 8/10 [00:01<00:00, 4.95it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.94it/s] 100%|██████████| 10/10 [00:02<00:00, 4.96it/s] 100%|██████████| 10/10 [00:02<00:00, 4.96it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.5ms Speed: 2.7ms preprocess, 8.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.96it/s] 20%|██ | 2/10 [00:00<00:01, 4.91it/s] 30%|███ | 3/10 [00:00<00:01, 4.94it/s] 40%|████ | 4/10 [00:00<00:01, 4.99it/s] 50%|█████ | 5/10 [00:01<00:00, 5.02it/s] 60%|██████ | 6/10 [00:01<00:00, 4.98it/s] 70%|███████ | 7/10 [00:01<00:00, 5.00it/s] 80%|████████ | 8/10 [00:01<00:00, 5.02it/s] 90%|█████████ | 9/10 [00:01<00:00, 5.00it/s] 100%|██████████| 10/10 [00:02<00:00, 5.02it/s] 100%|██████████| 10/10 [00:02<00:00, 5.00it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 8.7ms Speed: 2.7ms preprocess, 8.7ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Uploading outputs... Finished.