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Cyborg Girls with Euphostain
euphostain:v1.0
evevalentine2017
evevalentine2017
·
12/12/2023
357
Input
prompt
Specify things to see in the output
Complex 3D render ultra detailed of a beautiful porcelain profile woman android face, cyborg, robotic parts, 150 mm, beautiful studio soft light, rim light, vibrant details, luxurious cyberpunk, hyperrealistic, anatomical, facial muscles, cable electric wires, microchip, elegant, octane render, H. R. Giger style, 8k, best quality, masterpiece, illustration, extremely detailed, CG, unity, (realistic, photo-realistic: 1.37), Amazing, finely detailed, masterpiece, best quality, official art, absurdres, incredibly absurdres, robot, silver helmet, full body, sitting, dynamic pose, wind, laboratory, binding, neon light, minimalism, dim lighting, <lora:FaceBeauty_qinglong_V3:1>, <lora:add_detail:0.8>
negative_prompt
Specify things to not see in the output
ng_deepnegative_v1_75t, negative_hand-neg, (worst quality, low quality:2), lowres, bad anatomy, normal quality, monochrome, grayscale, text, signature, watermark, logo, loli, teen, child, aged down, lolita, shota, minor, underage, flat chest, missing arm, nsfw, nude
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
0.55
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.
2525297948
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
blessed2_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>
add_detail.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
JinxLol.safetensors
embedding_1
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_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
negative_hand-neg.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/a1647fc8ae8d4e96ad8171832b26b0eb/00000-2525297948.webp
https://files.tungsten.run/uploads/3fcdf993f36c40df878f84be4ab2295a/00001-2525297949.webp
https://files.tungsten.run/uploads/2768a9e3d18b419692ac11ada6373f4c/00002-2525297950.webp
https://files.tungsten.run/uploads/58ec4f854f664758b7983b1fde86c0c0/00003-2525297951.webp
Finished in 43.6 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: Complex 3D render ultra detailed of a beautiful porcelain profile woman android face, cyborg, robotic parts, 150 mm, beautiful studio soft light, rim light, vibrant details, luxurious cyberpunk, hyperrealistic, anatomical, facial muscles, cable electric wires, microchip, elegant, octane render, H. R. Giger style, 8k, best quality, masterpiece, illustration, extremely detailed, CG, unity, (realistic, photo-realistic: 1.37), Amazing, finely detailed, masterpiece, best quality, official art, absurdres, incredibly absurdres, robot, silver helmet, full body, sitting, dynamic pose, wind, laboratory, binding, neon light, minimalism, dim lighting, <lora:FaceBeauty_qinglong_V3:1> Full negative prompt: ng_deepnegative_v1_75t, negative_hand-neg, (worst quality, low quality:2), lowres, bad anatomy, normal quality, monochrome, grayscale, text, signature, watermark, logo, loli, teen, child, aged down, lolita, shota, minor, underage, flat chest, missing arm, nsfw, nude 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:01<00:22, 1.17s/it] 10%|█ | 2/20 [00:01<00:16, 1.12it/s] 15%|█▌ | 3/20 [00:02<00:13, 1.25it/s] 20%|██ | 4/20 [00:03<00:12, 1.31it/s] 25%|██▌ | 5/20 [00:03<00:11, 1.36it/s] 30%|███ | 6/20 [00:04<00:10, 1.39it/s] 35%|███▌ | 7/20 [00:05<00:09, 1.40it/s] 40%|████ | 8/20 [00:06<00:08, 1.41it/s] 45%|████▌ | 9/20 [00:06<00:07, 1.41it/s] 50%|█████ | 10/20 [00:07<00:07, 1.42it/s] 55%|█████▌ | 11/20 [00:08<00:06, 1.42it/s] 60%|██████ | 12/20 [00:08<00:05, 1.42it/s] 65%|██████▌ | 13/20 [00:09<00:04, 1.43it/s] 70%|███████ | 14/20 [00:10<00:04, 1.43it/s] 75%|███████▌ | 15/20 [00:10<00:03, 1.42it/s] 80%|████████ | 16/20 [00:11<00:02, 1.42it/s] 85%|████████▌ | 17/20 [00:12<00:02, 1.42it/s] 90%|█████████ | 18/20 [00:13<00:01, 1.42it/s] 95%|█████████▌| 19/20 [00:13<00:00, 1.42it/s] 100%|██████████| 20/20 [00:14<00:00, 1.42it/s] 100%|██████████| 20/20 [00:14<00:00, 1.38it/s] Decoding latents in cuda:0... done in 1.01s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.3ms Speed: 3.3ms preprocess, 7.3ms inference, 31.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:03, 3.52it/s] 17%|█▋ | 2/12 [00:00<00:02, 4.78it/s] 25%|██▌ | 3/12 [00:00<00:01, 5.37it/s] 33%|███▎ | 4/12 [00:00<00:01, 5.71it/s] 42%|████▏ | 5/12 [00:00<00:01, 5.87it/s] 50%|█████ | 6/12 [00:01<00:01, 5.83it/s] 58%|█████▊ | 7/12 [00:01<00:00, 5.85it/s] 67%|██████▋ | 8/12 [00:01<00:00, 5.98it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.06it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.10it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.15it/s] 100%|██████████| 12/12 [00:02<00:00, 6.11it/s] 100%|██████████| 12/12 [00:02<00:00, 5.80it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.0ms Speed: 2.8ms preprocess, 7.0ms 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, 7.2ms Speed: 2.6ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 6.73it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.47it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.39it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.36it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.34it/s] 50%|█████ | 6/12 [00:00<00:00, 6.21it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.05it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.05it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.14it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.19it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.21it/s] 100%|██████████| 12/12 [00:01<00:00, 6.17it/s] 100%|██████████| 12/12 [00:01<00:00, 6.22it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 6.9ms Speed: 2.6ms preprocess, 6.9ms 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, 7.1ms Speed: 2.6ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 6.69it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.49it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.44it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.40it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.38it/s] 50%|█████ | 6/12 [00:00<00:00, 6.22it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.12it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.10it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.16it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.21it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.21it/s] 100%|██████████| 12/12 [00:01<00:00, 6.15it/s] 100%|██████████| 12/12 [00:01<00:00, 6.23it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 6.9ms Speed: 2.5ms preprocess, 6.9ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 2 faces, 7.1ms Speed: 2.5ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 6.72it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.47it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.43it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.40it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.38it/s] 50%|█████ | 6/12 [00:00<00:00, 6.22it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.08it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.08it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.12it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.18it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.22it/s] 100%|██████████| 12/12 [00:01<00:00, 6.18it/s] 100%|██████████| 12/12 [00:01<00:00, 6.23it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 6.45it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.37it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.33it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.31it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.17it/s] 50%|█████ | 6/12 [00:00<00:00, 6.10it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.12it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.18it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.21it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.22it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.12it/s] 100%|██████████| 12/12 [00:01<00:00, 6.06it/s] 100%|██████████| 12/12 [00:01<00:00, 6.16it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.4ms Speed: 2.5ms preprocess, 7.4ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 6.59it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.38it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.34it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.32it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.29it/s] 50%|█████ | 6/12 [00:00<00:00, 6.15it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.08it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.12it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.17it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.21it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.17it/s] 100%|██████████| 12/12 [00:01<00:00, 6.13it/s] 100%|██████████| 12/12 [00:01<00:00, 6.19it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s Finished.
prompt
Specify things to see in the output
Complex 3D render ultra detailed of a beautiful porcelain profile woman android face, cyborg, robotic parts, 150 mm, beautiful studio soft light, rim light, vibrant details, luxurious cyberpunk, hyperrealistic, anatomical, facial muscles, cable electric wires, microchip, elegant, octane render, H. R. Giger style, 8k, best quality, masterpiece, illustration, extremely detailed, CG, unity, (realistic, photo-realistic: 1.37), Amazing, finely detailed, masterpiece, best quality, official art, absurdres, incredibly absurdres, robot, silver helmet, full body, sitting, dynamic pose, wind, laboratory, binding, neon light, minimalism, dim lighting, <lora:FaceBeauty_qinglong_V3:1>, <lora:add_detail:0.8>
negative_prompt
Specify things to not see in the output
ng_deepnegative_v1_75t, negative_hand-neg, (worst quality, low quality:2), lowres, bad anatomy, normal quality, monochrome, grayscale, text, signature, watermark, logo, loli, teen, child, aged down, lolita, shota, minor, underage, flat chest, missing arm, nsfw, nude
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
0.55
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.
2525297948
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
blessed2_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>
add_detail.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
JinxLol.safetensors
embedding_1
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_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
negative_hand-neg.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/a1647fc8ae8d4e96ad8171832b26b0eb/00000-2525297948.webp
https://files.tungsten.run/uploads/3fcdf993f36c40df878f84be4ab2295a/00001-2525297949.webp
https://files.tungsten.run/uploads/2768a9e3d18b419692ac11ada6373f4c/00002-2525297950.webp
https://files.tungsten.run/uploads/58ec4f854f664758b7983b1fde86c0c0/00003-2525297951.webp
Finished in 43.6 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: Complex 3D render ultra detailed of a beautiful porcelain profile woman android face, cyborg, robotic parts, 150 mm, beautiful studio soft light, rim light, vibrant details, luxurious cyberpunk, hyperrealistic, anatomical, facial muscles, cable electric wires, microchip, elegant, octane render, H. R. Giger style, 8k, best quality, masterpiece, illustration, extremely detailed, CG, unity, (realistic, photo-realistic: 1.37), Amazing, finely detailed, masterpiece, best quality, official art, absurdres, incredibly absurdres, robot, silver helmet, full body, sitting, dynamic pose, wind, laboratory, binding, neon light, minimalism, dim lighting, <lora:FaceBeauty_qinglong_V3:1> Full negative prompt: ng_deepnegative_v1_75t, negative_hand-neg, (worst quality, low quality:2), lowres, bad anatomy, normal quality, monochrome, grayscale, text, signature, watermark, logo, loli, teen, child, aged down, lolita, shota, minor, underage, flat chest, missing arm, nsfw, nude 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:01<00:22, 1.17s/it] 10%|█ | 2/20 [00:01<00:16, 1.12it/s] 15%|█▌ | 3/20 [00:02<00:13, 1.25it/s] 20%|██ | 4/20 [00:03<00:12, 1.31it/s] 25%|██▌ | 5/20 [00:03<00:11, 1.36it/s] 30%|███ | 6/20 [00:04<00:10, 1.39it/s] 35%|███▌ | 7/20 [00:05<00:09, 1.40it/s] 40%|████ | 8/20 [00:06<00:08, 1.41it/s] 45%|████▌ | 9/20 [00:06<00:07, 1.41it/s] 50%|█████ | 10/20 [00:07<00:07, 1.42it/s] 55%|█████▌ | 11/20 [00:08<00:06, 1.42it/s] 60%|██████ | 12/20 [00:08<00:05, 1.42it/s] 65%|██████▌ | 13/20 [00:09<00:04, 1.43it/s] 70%|███████ | 14/20 [00:10<00:04, 1.43it/s] 75%|███████▌ | 15/20 [00:10<00:03, 1.42it/s] 80%|████████ | 16/20 [00:11<00:02, 1.42it/s] 85%|████████▌ | 17/20 [00:12<00:02, 1.42it/s] 90%|█████████ | 18/20 [00:13<00:01, 1.42it/s] 95%|█████████▌| 19/20 [00:13<00:00, 1.42it/s] 100%|██████████| 20/20 [00:14<00:00, 1.42it/s] 100%|██████████| 20/20 [00:14<00:00, 1.38it/s] Decoding latents in cuda:0... done in 1.01s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.3ms Speed: 3.3ms preprocess, 7.3ms inference, 31.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:03, 3.52it/s] 17%|█▋ | 2/12 [00:00<00:02, 4.78it/s] 25%|██▌ | 3/12 [00:00<00:01, 5.37it/s] 33%|███▎ | 4/12 [00:00<00:01, 5.71it/s] 42%|████▏ | 5/12 [00:00<00:01, 5.87it/s] 50%|█████ | 6/12 [00:01<00:01, 5.83it/s] 58%|█████▊ | 7/12 [00:01<00:00, 5.85it/s] 67%|██████▋ | 8/12 [00:01<00:00, 5.98it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.06it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.10it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.15it/s] 100%|██████████| 12/12 [00:02<00:00, 6.11it/s] 100%|██████████| 12/12 [00:02<00:00, 5.80it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.0ms Speed: 2.8ms preprocess, 7.0ms 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, 7.2ms Speed: 2.6ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 6.73it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.47it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.39it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.36it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.34it/s] 50%|█████ | 6/12 [00:00<00:00, 6.21it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.05it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.05it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.14it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.19it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.21it/s] 100%|██████████| 12/12 [00:01<00:00, 6.17it/s] 100%|██████████| 12/12 [00:01<00:00, 6.22it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 6.9ms Speed: 2.6ms preprocess, 6.9ms 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, 7.1ms Speed: 2.6ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 6.69it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.49it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.44it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.40it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.38it/s] 50%|█████ | 6/12 [00:00<00:00, 6.22it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.12it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.10it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.16it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.21it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.21it/s] 100%|██████████| 12/12 [00:01<00:00, 6.15it/s] 100%|██████████| 12/12 [00:01<00:00, 6.23it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 6.9ms Speed: 2.5ms preprocess, 6.9ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 2 faces, 7.1ms Speed: 2.5ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 6.72it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.47it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.43it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.40it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.38it/s] 50%|█████ | 6/12 [00:00<00:00, 6.22it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.08it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.08it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.12it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.18it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.22it/s] 100%|██████████| 12/12 [00:01<00:00, 6.18it/s] 100%|██████████| 12/12 [00:01<00:00, 6.23it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 6.45it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.37it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.33it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.31it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.17it/s] 50%|█████ | 6/12 [00:00<00:00, 6.10it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.12it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.18it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.21it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.22it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.12it/s] 100%|██████████| 12/12 [00:01<00:00, 6.06it/s] 100%|██████████| 12/12 [00:01<00:00, 6.16it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.4ms Speed: 2.5ms preprocess, 7.4ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 6.59it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.38it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.34it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.32it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.29it/s] 50%|█████ | 6/12 [00:00<00:00, 6.15it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.08it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.12it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.17it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.21it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.17it/s] 100%|██████████| 12/12 [00:01<00:00, 6.13it/s] 100%|██████████| 12/12 [00:01<00:00, 6.19it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s Finished.