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Sexy Leotards with MH Mix
mhmix:v2.0
evevalentine2017
evevalentine2017
·
Mar 4
376
Input
prompt
Specify things to see in the output
(full body:1.4), a photo of a girl, (solo focus), white hair, messy hair, long hair, gold color, (leotard:1.4), (huge breast:1.2), (thick thighs, muscled thighs:1.2), in highheels, (squatting, spread legs:1.4), Palombaggia Beach \(France Corsica\), (best quality, detailed:1.4), realistic, <lora:more_details:0.8>, <lora:FaceBeauty_qinglong_V3:1.5>
negative_prompt
Specify things to not see in the output
bad-picture-chill-75v, verybadimagenegative_v1.3, easynegative, ((3 feet:1.5)), ((3 legs:1.5)), ((3 hands:1.5)), ((3 arms:1.5)), (breasts out:1.5), (fat), (nsfw:1.4), (skinny), ((nipples:1)), (pregnant:1.4), (cropped in:1.4), (multiple view), (missing hand:1.4), (fused highheels, fused feet:1.4), extra hand, extra foot, (missing finger, extra fingers, fused fingers:1.4), (monochrome, greyscale), (text, signature, watermark:1.4), (mutated, bad composition, worst quality, low quality:1.4)
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.
3026745227
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
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>
FaceBeauty_qinglong_V3.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
more_details.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
0108 One-line crotch red see-through stockings_v3.safetensors
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-picture-chill-75v.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
easynegative.safetensors
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
verybadimagenegative_v1.3.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/c2f7b0c42fcd4f5eaf16753f245f4222/00000-3026745227.webp
https://files.tungsten.run/uploads/1911fd1324f3443aadbb08e8fa3047fa/00001-3026745228.webp
https://files.tungsten.run/uploads/f4549a9f9bd7475fb36426472727581c/00002-3026745229.webp
https://files.tungsten.run/uploads/e47ba9fe9ec8407d8388ac2ec3dce7b9/00003-3026745230.webp
Finished in 50.1 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: (full body:1.4), a photo of a girl, (solo focus), white hair, messy hair, long hair, gold color, (leotard:1.4), (huge breast:1.2), (thick thighs, muscled thighs:1.2), in highheels, (squatting, spread legs:1.4), Palombaggia Beach \(France Corsica\), (best quality, detailed:1.4), realistic, <lora:more_details:0.8>, <lora:FaceBeauty_qinglong_V3:1.5> Full negative prompt: bad-picture-chill-75v, verybadimagenegative_v1.3, easynegative, ((3 feet:1.5)), ((3 legs:1.5)), ((3 hands:1.5)), ((3 arms:1.5)), (breasts out:1.5), (fat), (nsfw:1.4), (skinny), ((nipples:1)), (pregnant:1.4), (cropped in:1.4), (multiple view), (missing hand:1.4), (fused highheels, fused feet:1.4), extra hand, extra foot, (missing finger, extra fingers, fused fingers:1.4), (monochrome, greyscale), (text, signature, watermark:1.4), (mutated, bad composition, worst quality, low quality:1.4) 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:01<00:24, 1.27s/it] 10%|█ | 2/20 [00:01<00:16, 1.12it/s] 15%|█▌ | 3/20 [00:02<00:13, 1.30it/s] 20%|██ | 4/20 [00:03<00:11, 1.38it/s] 25%|██▌ | 5/20 [00:03<00:10, 1.45it/s] 30%|███ | 6/20 [00:04<00:09, 1.49it/s] 35%|███▌ | 7/20 [00:05<00:08, 1.51it/s] 40%|████ | 8/20 [00:05<00:07, 1.53it/s] 45%|████▌ | 9/20 [00:06<00:07, 1.54it/s] 50%|█████ | 10/20 [00:06<00:06, 1.55it/s] 55%|█████▌ | 11/20 [00:07<00:05, 1.55it/s] 60%|██████ | 12/20 [00:08<00:05, 1.56it/s] 65%|██████▌ | 13/20 [00:08<00:04, 1.55it/s] 70%|███████ | 14/20 [00:09<00:03, 1.55it/s] 75%|███████▌ | 15/20 [00:10<00:03, 1.56it/s] 80%|████████ | 16/20 [00:10<00:02, 1.56it/s] 85%|████████▌ | 17/20 [00:11<00:01, 1.56it/s] 90%|█████████ | 18/20 [00:12<00:01, 1.56it/s] 95%|█████████▌| 19/20 [00:12<00:00, 1.56it/s] 100%|██████████| 20/20 [00:13<00:00, 1.54it/s] 100%|██████████| 20/20 [00:13<00:00, 1.49it/s] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 9.5ms Speed: 3.7ms preprocess, 9.5ms inference, 36.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:03, 2.50it/s] 20%|██ | 2/10 [00:00<00:02, 3.35it/s] 30%|███ | 3/10 [00:00<00:01, 3.91it/s] 40%|████ | 4/10 [00:01<00:01, 4.28it/s] 50%|█████ | 5/10 [00:01<00:01, 4.51it/s] 60%|██████ | 6/10 [00:01<00:00, 4.59it/s] 70%|███████ | 7/10 [00:01<00:00, 4.71it/s] 80%|████████ | 8/10 [00:01<00:00, 4.76it/s] 90%|█████████ | 9/10 [00:02<00:00, 4.80it/s] 100%|██████████| 10/10 [00:02<00:00, 4.84it/s] 100%|██████████| 10/10 [00:02<00:00, 4.43it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.3ms Speed: 2.8ms preprocess, 7.3ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 7.5ms Speed: 2.6ms preprocess, 7.5ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:04, 2.06it/s] 20%|██ | 2/10 [00:00<00:03, 2.21it/s] 30%|███ | 3/10 [00:01<00:03, 2.12it/s] 40%|████ | 4/10 [00:01<00:02, 2.71it/s] 50%|█████ | 5/10 [00:01<00:01, 3.25it/s] 60%|██████ | 6/10 [00:02<00:01, 3.70it/s] 70%|███████ | 7/10 [00:02<00:00, 4.04it/s] 80%|████████ | 8/10 [00:02<00:00, 4.19it/s] 90%|█████████ | 9/10 [00:02<00:00, 4.43it/s] 100%|██████████| 10/10 [00:02<00:00, 4.61it/s] 100%|██████████| 10/10 [00:02<00:00, 3.53it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.2ms Speed: 2.9ms preprocess, 7.2ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.87it/s] 20%|██ | 2/10 [00:00<00:01, 4.65it/s] 30%|███ | 3/10 [00:00<00:01, 4.77it/s] 40%|████ | 4/10 [00:00<00:01, 4.88it/s] 50%|█████ | 5/10 [00:01<00:01, 4.92it/s] 60%|██████ | 6/10 [00:01<00:00, 4.89it/s] 70%|███████ | 7/10 [00:01<00:00, 4.82it/s] 80%|████████ | 8/10 [00:01<00:00, 4.89it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.92it/s] 100%|██████████| 10/10 [00:02<00:00, 4.96it/s] 100%|██████████| 10/10 [00:02<00:00, 4.89it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 2.8ms preprocess, 7.5ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.77it/s] 20%|██ | 2/10 [00:00<00:01, 4.87it/s] 30%|███ | 3/10 [00:00<00:01, 4.89it/s] 40%|████ | 4/10 [00:00<00:01, 4.89it/s] 50%|█████ | 5/10 [00:01<00:01, 4.88it/s] 60%|██████ | 6/10 [00:01<00:00, 4.82it/s] 70%|███████ | 7/10 [00:01<00:00, 4.87it/s] 80%|████████ | 8/10 [00:01<00:00, 4.91it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.93it/s] 100%|██████████| 10/10 [00:02<00:00, 4.95it/s] 100%|██████████| 10/10 [00:02<00:00, 4.90it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.1ms Speed: 2.7ms preprocess, 7.1ms inference, 0.8ms 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: 2.7ms preprocess, 7.4ms 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, 5.10it/s] 20%|██ | 2/10 [00:00<00:01, 5.01it/s] 30%|███ | 3/10 [00:00<00:01, 4.91it/s] 40%|████ | 4/10 [00:00<00:01, 4.96it/s] 50%|█████ | 5/10 [00:01<00:01, 4.94it/s] 60%|██████ | 6/10 [00:01<00:00, 4.98it/s] 70%|███████ | 7/10 [00:01<00:00, 4.99it/s] 80%|████████ | 8/10 [00:01<00:00, 4.91it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.95it/s] 100%|██████████| 10/10 [00:02<00:00, 4.94it/s] 100%|██████████| 10/10 [00:02<00:00, 4.95it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 3 hands, 7.2ms Speed: 2.8ms preprocess, 7.2ms inference, 2.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 5.01it/s] 20%|██ | 2/10 [00:00<00:01, 4.82it/s] 30%|███ | 3/10 [00:00<00:01, 4.90it/s] 40%|████ | 4/10 [00:00<00:01, 4.82it/s] 50%|█████ | 5/10 [00:01<00:01, 4.80it/s] 60%|██████ | 6/10 [00:01<00:00, 4.84it/s] 70%|███████ | 7/10 [00:01<00:00, 4.78it/s] 80%|████████ | 8/10 [00:01<00:00, 4.82it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.89it/s] 100%|██████████| 10/10 [00:02<00:00, 4.95it/s] 100%|██████████| 10/10 [00:02<00:00, 4.87it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.75it/s] 20%|██ | 2/10 [00:00<00:01, 4.84it/s] 30%|███ | 3/10 [00:00<00:01, 4.85it/s] 40%|████ | 4/10 [00:00<00:01, 4.87it/s] 50%|█████ | 5/10 [00:01<00:01, 4.79it/s] 60%|██████ | 6/10 [00:01<00:00, 4.71it/s] 70%|███████ | 7/10 [00:01<00:00, 4.78it/s] 80%|████████ | 8/10 [00:01<00:00, 4.79it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.83it/s] 100%|██████████| 10/10 [00:02<00:00, 4.84it/s] 100%|██████████| 10/10 [00:02<00:00, 4.81it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.92it/s] 20%|██ | 2/10 [00:00<00:01, 4.87it/s] 30%|███ | 3/10 [00:00<00:01, 4.78it/s] 40%|████ | 4/10 [00:00<00:01, 4.87it/s] 50%|█████ | 5/10 [00:01<00:01, 4.91it/s] 60%|██████ | 6/10 [00:01<00:00, 4.94it/s] 70%|███████ | 7/10 [00:01<00:00, 4.95it/s] 80%|████████ | 8/10 [00:01<00:00, 4.94it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.98it/s] 100%|██████████| 10/10 [00:02<00:00, 5.01it/s] 100%|██████████| 10/10 [00:02<00:00, 4.94it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
(full body:1.4), a photo of a girl, (solo focus), white hair, messy hair, long hair, gold color, (leotard:1.4), (huge breast:1.2), (thick thighs, muscled thighs:1.2), in highheels, (squatting, spread legs:1.4), Palombaggia Beach \(France Corsica\), (best quality, detailed:1.4), realistic, <lora:more_details:0.8>, <lora:FaceBeauty_qinglong_V3:1.5>
negative_prompt
Specify things to not see in the output
bad-picture-chill-75v, verybadimagenegative_v1.3, easynegative, ((3 feet:1.5)), ((3 legs:1.5)), ((3 hands:1.5)), ((3 arms:1.5)), (breasts out:1.5), (fat), (nsfw:1.4), (skinny), ((nipples:1)), (pregnant:1.4), (cropped in:1.4), (multiple view), (missing hand:1.4), (fused highheels, fused feet:1.4), extra hand, extra foot, (missing finger, extra fingers, fused fingers:1.4), (monochrome, greyscale), (text, signature, watermark:1.4), (mutated, bad composition, worst quality, low quality:1.4)
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.
3026745227
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
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>
FaceBeauty_qinglong_V3.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
more_details.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
0108 One-line crotch red see-through stockings_v3.safetensors
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-picture-chill-75v.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
easynegative.safetensors
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
verybadimagenegative_v1.3.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/c2f7b0c42fcd4f5eaf16753f245f4222/00000-3026745227.webp
https://files.tungsten.run/uploads/1911fd1324f3443aadbb08e8fa3047fa/00001-3026745228.webp
https://files.tungsten.run/uploads/f4549a9f9bd7475fb36426472727581c/00002-3026745229.webp
https://files.tungsten.run/uploads/e47ba9fe9ec8407d8388ac2ec3dce7b9/00003-3026745230.webp
Finished in 50.1 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: (full body:1.4), a photo of a girl, (solo focus), white hair, messy hair, long hair, gold color, (leotard:1.4), (huge breast:1.2), (thick thighs, muscled thighs:1.2), in highheels, (squatting, spread legs:1.4), Palombaggia Beach \(France Corsica\), (best quality, detailed:1.4), realistic, <lora:more_details:0.8>, <lora:FaceBeauty_qinglong_V3:1.5> Full negative prompt: bad-picture-chill-75v, verybadimagenegative_v1.3, easynegative, ((3 feet:1.5)), ((3 legs:1.5)), ((3 hands:1.5)), ((3 arms:1.5)), (breasts out:1.5), (fat), (nsfw:1.4), (skinny), ((nipples:1)), (pregnant:1.4), (cropped in:1.4), (multiple view), (missing hand:1.4), (fused highheels, fused feet:1.4), extra hand, extra foot, (missing finger, extra fingers, fused fingers:1.4), (monochrome, greyscale), (text, signature, watermark:1.4), (mutated, bad composition, worst quality, low quality:1.4) 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:01<00:24, 1.27s/it] 10%|█ | 2/20 [00:01<00:16, 1.12it/s] 15%|█▌ | 3/20 [00:02<00:13, 1.30it/s] 20%|██ | 4/20 [00:03<00:11, 1.38it/s] 25%|██▌ | 5/20 [00:03<00:10, 1.45it/s] 30%|███ | 6/20 [00:04<00:09, 1.49it/s] 35%|███▌ | 7/20 [00:05<00:08, 1.51it/s] 40%|████ | 8/20 [00:05<00:07, 1.53it/s] 45%|████▌ | 9/20 [00:06<00:07, 1.54it/s] 50%|█████ | 10/20 [00:06<00:06, 1.55it/s] 55%|█████▌ | 11/20 [00:07<00:05, 1.55it/s] 60%|██████ | 12/20 [00:08<00:05, 1.56it/s] 65%|██████▌ | 13/20 [00:08<00:04, 1.55it/s] 70%|███████ | 14/20 [00:09<00:03, 1.55it/s] 75%|███████▌ | 15/20 [00:10<00:03, 1.56it/s] 80%|████████ | 16/20 [00:10<00:02, 1.56it/s] 85%|████████▌ | 17/20 [00:11<00:01, 1.56it/s] 90%|█████████ | 18/20 [00:12<00:01, 1.56it/s] 95%|█████████▌| 19/20 [00:12<00:00, 1.56it/s] 100%|██████████| 20/20 [00:13<00:00, 1.54it/s] 100%|██████████| 20/20 [00:13<00:00, 1.49it/s] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 9.5ms Speed: 3.7ms preprocess, 9.5ms inference, 36.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:03, 2.50it/s] 20%|██ | 2/10 [00:00<00:02, 3.35it/s] 30%|███ | 3/10 [00:00<00:01, 3.91it/s] 40%|████ | 4/10 [00:01<00:01, 4.28it/s] 50%|█████ | 5/10 [00:01<00:01, 4.51it/s] 60%|██████ | 6/10 [00:01<00:00, 4.59it/s] 70%|███████ | 7/10 [00:01<00:00, 4.71it/s] 80%|████████ | 8/10 [00:01<00:00, 4.76it/s] 90%|█████████ | 9/10 [00:02<00:00, 4.80it/s] 100%|██████████| 10/10 [00:02<00:00, 4.84it/s] 100%|██████████| 10/10 [00:02<00:00, 4.43it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.3ms Speed: 2.8ms preprocess, 7.3ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 7.5ms Speed: 2.6ms preprocess, 7.5ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:04, 2.06it/s] 20%|██ | 2/10 [00:00<00:03, 2.21it/s] 30%|███ | 3/10 [00:01<00:03, 2.12it/s] 40%|████ | 4/10 [00:01<00:02, 2.71it/s] 50%|█████ | 5/10 [00:01<00:01, 3.25it/s] 60%|██████ | 6/10 [00:02<00:01, 3.70it/s] 70%|███████ | 7/10 [00:02<00:00, 4.04it/s] 80%|████████ | 8/10 [00:02<00:00, 4.19it/s] 90%|█████████ | 9/10 [00:02<00:00, 4.43it/s] 100%|██████████| 10/10 [00:02<00:00, 4.61it/s] 100%|██████████| 10/10 [00:02<00:00, 3.53it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.2ms Speed: 2.9ms preprocess, 7.2ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.87it/s] 20%|██ | 2/10 [00:00<00:01, 4.65it/s] 30%|███ | 3/10 [00:00<00:01, 4.77it/s] 40%|████ | 4/10 [00:00<00:01, 4.88it/s] 50%|█████ | 5/10 [00:01<00:01, 4.92it/s] 60%|██████ | 6/10 [00:01<00:00, 4.89it/s] 70%|███████ | 7/10 [00:01<00:00, 4.82it/s] 80%|████████ | 8/10 [00:01<00:00, 4.89it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.92it/s] 100%|██████████| 10/10 [00:02<00:00, 4.96it/s] 100%|██████████| 10/10 [00:02<00:00, 4.89it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 2.8ms preprocess, 7.5ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.77it/s] 20%|██ | 2/10 [00:00<00:01, 4.87it/s] 30%|███ | 3/10 [00:00<00:01, 4.89it/s] 40%|████ | 4/10 [00:00<00:01, 4.89it/s] 50%|█████ | 5/10 [00:01<00:01, 4.88it/s] 60%|██████ | 6/10 [00:01<00:00, 4.82it/s] 70%|███████ | 7/10 [00:01<00:00, 4.87it/s] 80%|████████ | 8/10 [00:01<00:00, 4.91it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.93it/s] 100%|██████████| 10/10 [00:02<00:00, 4.95it/s] 100%|██████████| 10/10 [00:02<00:00, 4.90it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.1ms Speed: 2.7ms preprocess, 7.1ms inference, 0.8ms 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: 2.7ms preprocess, 7.4ms 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, 5.10it/s] 20%|██ | 2/10 [00:00<00:01, 5.01it/s] 30%|███ | 3/10 [00:00<00:01, 4.91it/s] 40%|████ | 4/10 [00:00<00:01, 4.96it/s] 50%|█████ | 5/10 [00:01<00:01, 4.94it/s] 60%|██████ | 6/10 [00:01<00:00, 4.98it/s] 70%|███████ | 7/10 [00:01<00:00, 4.99it/s] 80%|████████ | 8/10 [00:01<00:00, 4.91it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.95it/s] 100%|██████████| 10/10 [00:02<00:00, 4.94it/s] 100%|██████████| 10/10 [00:02<00:00, 4.95it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 3 hands, 7.2ms Speed: 2.8ms preprocess, 7.2ms inference, 2.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 5.01it/s] 20%|██ | 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latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.92it/s] 20%|██ | 2/10 [00:00<00:01, 4.87it/s] 30%|███ | 3/10 [00:00<00:01, 4.78it/s] 40%|████ | 4/10 [00:00<00:01, 4.87it/s] 50%|█████ | 5/10 [00:01<00:01, 4.91it/s] 60%|██████ | 6/10 [00:01<00:00, 4.94it/s] 70%|███████ | 7/10 [00:01<00:00, 4.95it/s] 80%|████████ | 8/10 [00:01<00:00, 4.94it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.98it/s] 100%|██████████| 10/10 [00:02<00:00, 5.01it/s] 100%|██████████| 10/10 [00:02<00:00, 4.94it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s Uploading outputs... Finished.