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Cyborg Construction with Ghost Mix
ghost-mix:v2.0
evevalentine2017
evevalentine2017
·
12/26/2023
336
Input
prompt
Specify things to see in the output
1mechanical girl, ((ultra realistic details)), portrait, global illumination, shadows, octane render, 8k, ultra sharp,metal,intricate, ornaments detailed, cold colors, egypician detail, highly intricate details, realistic light, trending on cgsociety, glowing eyes, facing camera, neon details, machanical limbs, blood vessels connected to tubes, mechanical vertebra attaching to back, mechanical cervial attaching to neck, sitting, wires and cables connecting to head
negative_prompt
Specify things to not see in the output
EasyNegativeV2, By bad artist -neg, sketch by bad-artist-anime, (worst quality, low quality:1.4), bad anatomy, bad hands, cropped, missing fingers, too many fingers, missing arms, long neck, Humpbacked, deformed, disfigured, poorly drawn face, distorted face, mutation, mutated, extra limb, ugly, poorly drawn hands, missing limb, floating limbs, disconnected limbs, malformed hands, out of focus, long body, monochrome, symbol, text, logo, door frame, window frame, mirror frame, ng_deepnegative_v1_75t
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.
4006085557
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
30
cfg_scale
Scale for classifier-free guidance
6
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>
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)
EasyNegativeV2.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
By bad artist -neg.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.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/e1c0efebb47d4966814ffe3f769d5649/00000-4006085557.webp
https://files.tungsten.run/uploads/acf348a33c1540ad988b21faf30cd6e2/00001-4006085558.webp
https://files.tungsten.run/uploads/f9056b58310d4b639ee638a3907a1a15/00002-4006085559.webp
https://files.tungsten.run/uploads/2e6ab81282fd4bbb880e9c27fe974913/00003-4006085560.webp
Finished in 43.6 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: 1mechanical girl, ((ultra realistic details)), portrait, global illumination, shadows, octane render, 8k, ultra sharp,metal,intricate, ornaments detailed, cold colors, egypician detail, highly intricate details, realistic light, trending on cgsociety, glowing eyes, facing camera, neon details, machanical limbs, blood vessels connected to tubes, mechanical vertebra attaching to back, mechanical cervial attaching to neck, sitting, wires and cables connecting to head Full negative prompt: EasyNegativeV2, By bad artist -neg, sketch by bad-artist-anime, (worst quality, low quality:1.4), bad anatomy, bad hands, cropped, missing fingers, too many fingers, missing arms, long neck, Humpbacked, deformed, disfigured, poorly drawn face, distorted face, mutation, mutated, extra limb, ugly, poorly drawn hands, missing limb, floating limbs, disconnected limbs, malformed hands, out of focus, long body, monochrome, symbol, text, logo, door frame, window frame, mirror frame, ng_deepnegative_v1_75t 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:00<00:18, 1.60it/s] 7%|▋ | 2/30 [00:01<00:17, 1.58it/s] 10%|█ | 3/30 [00:01<00:17, 1.58it/s] 13%|█▎ | 4/30 [00:02<00:16, 1.58it/s] 17%|█▋ | 5/30 [00:03<00:15, 1.58it/s] 20%|██ | 6/30 [00:03<00:15, 1.58it/s] 23%|██▎ | 7/30 [00:04<00:14, 1.58it/s] 27%|██▋ | 8/30 [00:05<00:13, 1.58it/s] 30%|███ | 9/30 [00:05<00:13, 1.58it/s] 33%|███▎ | 10/30 [00:06<00:12, 1.55it/s] 37%|███▋ | 11/30 [00:06<00:12, 1.57it/s] 40%|████ | 12/30 [00:07<00:11, 1.56it/s] 43%|████▎ | 13/30 [00:08<00:10, 1.56it/s] 47%|████▋ | 14/30 [00:08<00:10, 1.57it/s] 50%|█████ | 15/30 [00:09<00:09, 1.57it/s] 53%|█████▎ | 16/30 [00:10<00:08, 1.57it/s] 57%|█████▋ | 17/30 [00:10<00:08, 1.57it/s] 60%|██████ | 18/30 [00:11<00:07, 1.56it/s] 63%|██████▎ | 19/30 [00:12<00:07, 1.57it/s] 67%|██████▋ | 20/30 [00:12<00:06, 1.56it/s] 70%|███████ | 21/30 [00:13<00:05, 1.57it/s] 73%|███████▎ | 22/30 [00:14<00:05, 1.57it/s] 77%|███████▋ | 23/30 [00:14<00:04, 1.56it/s] 80%|████████ | 24/30 [00:15<00:03, 1.56it/s] 83%|████████▎ | 25/30 [00:15<00:03, 1.56it/s] 87%|████████▋ | 26/30 [00:16<00:02, 1.56it/s] 90%|█████████ | 27/30 [00:17<00:01, 1.56it/s] 93%|█████████▎| 28/30 [00:17<00:01, 1.57it/s] 97%|█████████▋| 29/30 [00:18<00:00, 1.57it/s] 100%|██████████| 30/30 [00:19<00:00, 1.57it/s] 100%|██████████| 30/30 [00:19<00:00, 1.57it/s] Decoding latents in cuda:0... done in 0.94s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.9ms Speed: 3.6ms preprocess, 7.9ms inference, 32.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:05, 3.20it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.66it/s] 18%|█▊ | 3/17 [00:00<00:02, 5.43it/s] 24%|██▎ | 4/17 [00:00<00:02, 5.87it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.17it/s] 35%|███▌ | 6/17 [00:01<00:01, 6.33it/s] 41%|████ | 7/17 [00:01<00:01, 6.37it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.46it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.54it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.57it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.62it/s] 71%|███████ | 12/17 [00:01<00:00, 6.63it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.61it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.60it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.64it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.66it/s] 100%|██████████| 17/17 [00:02<00:00, 6.67it/s] 100%|██████████| 17/17 [00:02<00:00, 6.28it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.6ms Speed: 2.8ms preprocess, 7.6ms 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: 2.8ms preprocess, 7.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.93it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.77it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.69it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.71it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.72it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.67it/s] 41%|████ | 7/17 [00:01<00:01, 6.63it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.64it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.65it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.68it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.67it/s] 71%|███████ | 12/17 [00:01<00:00, 6.69it/s] 76%|███████▋ | 13/17 [00:01<00:00, 6.65it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.65it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.66it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.68it/s] 100%|██████████| 17/17 [00:02<00:00, 6.69it/s] 100%|██████████| 17/17 [00:02<00:00, 6.68it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 1 face, 7.7ms Speed: 3.0ms preprocess, 7.7ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.92it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.79it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.74it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.71it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.70it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.64it/s] 41%|████ | 7/17 [00:01<00:01, 6.58it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.61it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.62it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.64it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.65it/s] 71%|███████ | 12/17 [00:01<00:00, 6.65it/s] 76%|███████▋ | 13/17 [00:01<00:00, 6.62it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.60it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.64it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.65it/s] 100%|██████████| 17/17 [00:02<00:00, 6.67it/s] 100%|██████████| 17/17 [00:02<00:00, 6.66it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.3ms Speed: 2.7ms preprocess, 7.3ms 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, 7.4ms Speed: 2.7ms preprocess, 7.4ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.98it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.37it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.52it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.60it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.64it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.62it/s] 41%|████ | 7/17 [00:01<00:01, 6.60it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.57it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.60it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.62it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.61it/s] 71%|███████ | 12/17 [00:01<00:00, 6.63it/s] 76%|███████▋ | 13/17 [00:01<00:00, 6.62it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.60it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.60it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.61it/s] 100%|██████████| 17/17 [00:02<00:00, 6.62it/s] 100%|██████████| 17/17 [00:02<00:00, 6.60it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.6ms Speed: 3.1ms preprocess, 7.6ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Finished.
prompt
Specify things to see in the output
1mechanical girl, ((ultra realistic details)), portrait, global illumination, shadows, octane render, 8k, ultra sharp,metal,intricate, ornaments detailed, cold colors, egypician detail, highly intricate details, realistic light, trending on cgsociety, glowing eyes, facing camera, neon details, machanical limbs, blood vessels connected to tubes, mechanical vertebra attaching to back, mechanical cervial attaching to neck, sitting, wires and cables connecting to head
negative_prompt
Specify things to not see in the output
EasyNegativeV2, By bad artist -neg, sketch by bad-artist-anime, (worst quality, low quality:1.4), bad anatomy, bad hands, cropped, missing fingers, too many fingers, missing arms, long neck, Humpbacked, deformed, disfigured, poorly drawn face, distorted face, mutation, mutated, extra limb, ugly, poorly drawn hands, missing limb, floating limbs, disconnected limbs, malformed hands, out of focus, long body, monochrome, symbol, text, logo, door frame, window frame, mirror frame, ng_deepnegative_v1_75t
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.
4006085557
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
30
cfg_scale
Scale for classifier-free guidance
6
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>
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)
EasyNegativeV2.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
By bad artist -neg.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/e1c0efebb47d4966814ffe3f769d5649/00000-4006085557.webp
https://files.tungsten.run/uploads/acf348a33c1540ad988b21faf30cd6e2/00001-4006085558.webp
https://files.tungsten.run/uploads/f9056b58310d4b639ee638a3907a1a15/00002-4006085559.webp
https://files.tungsten.run/uploads/2e6ab81282fd4bbb880e9c27fe974913/00003-4006085560.webp
Finished in 43.6 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: 1mechanical girl, ((ultra realistic details)), portrait, global illumination, shadows, octane render, 8k, ultra sharp,metal,intricate, ornaments detailed, cold colors, egypician detail, highly intricate details, realistic light, trending on cgsociety, glowing eyes, facing camera, neon details, machanical limbs, blood vessels connected to tubes, mechanical vertebra attaching to back, mechanical cervial attaching to neck, sitting, wires and cables connecting to head Full negative prompt: EasyNegativeV2, By bad artist -neg, sketch by bad-artist-anime, (worst quality, low quality:1.4), bad anatomy, bad hands, cropped, missing fingers, too many fingers, missing arms, long neck, Humpbacked, deformed, disfigured, poorly drawn face, distorted face, mutation, mutated, extra limb, ugly, poorly drawn hands, missing limb, floating limbs, disconnected limbs, malformed hands, out of focus, long body, monochrome, symbol, text, logo, door frame, window frame, mirror frame, ng_deepnegative_v1_75t 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:00<00:18, 1.60it/s] 7%|▋ | 2/30 [00:01<00:17, 1.58it/s] 10%|█ | 3/30 [00:01<00:17, 1.58it/s] 13%|█▎ | 4/30 [00:02<00:16, 1.58it/s] 17%|█▋ | 5/30 [00:03<00:15, 1.58it/s] 20%|██ | 6/30 [00:03<00:15, 1.58it/s] 23%|██▎ | 7/30 [00:04<00:14, 1.58it/s] 27%|██▋ | 8/30 [00:05<00:13, 1.58it/s] 30%|███ | 9/30 [00:05<00:13, 1.58it/s] 33%|███▎ | 10/30 [00:06<00:12, 1.55it/s] 37%|███▋ | 11/30 [00:06<00:12, 1.57it/s] 40%|████ | 12/30 [00:07<00:11, 1.56it/s] 43%|████▎ | 13/30 [00:08<00:10, 1.56it/s] 47%|████▋ | 14/30 [00:08<00:10, 1.57it/s] 50%|█████ | 15/30 [00:09<00:09, 1.57it/s] 53%|█████▎ | 16/30 [00:10<00:08, 1.57it/s] 57%|█████▋ | 17/30 [00:10<00:08, 1.57it/s] 60%|██████ | 18/30 [00:11<00:07, 1.56it/s] 63%|██████▎ | 19/30 [00:12<00:07, 1.57it/s] 67%|██████▋ | 20/30 [00:12<00:06, 1.56it/s] 70%|███████ | 21/30 [00:13<00:05, 1.57it/s] 73%|███████▎ | 22/30 [00:14<00:05, 1.57it/s] 77%|███████▋ | 23/30 [00:14<00:04, 1.56it/s] 80%|████████ | 24/30 [00:15<00:03, 1.56it/s] 83%|████████▎ | 25/30 [00:15<00:03, 1.56it/s] 87%|████████▋ | 26/30 [00:16<00:02, 1.56it/s] 90%|█████████ | 27/30 [00:17<00:01, 1.56it/s] 93%|█████████▎| 28/30 [00:17<00:01, 1.57it/s] 97%|█████████▋| 29/30 [00:18<00:00, 1.57it/s] 100%|██████████| 30/30 [00:19<00:00, 1.57it/s] 100%|██████████| 30/30 [00:19<00:00, 1.57it/s] Decoding latents in cuda:0... done in 0.94s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.9ms Speed: 3.6ms preprocess, 7.9ms inference, 32.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:05, 3.20it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.66it/s] 18%|█▊ | 3/17 [00:00<00:02, 5.43it/s] 24%|██▎ | 4/17 [00:00<00:02, 5.87it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.17it/s] 35%|███▌ | 6/17 [00:01<00:01, 6.33it/s] 41%|████ | 7/17 [00:01<00:01, 6.37it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.46it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.54it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.57it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.62it/s] 71%|███████ | 12/17 [00:01<00:00, 6.63it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.61it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.60it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.64it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.66it/s] 100%|██████████| 17/17 [00:02<00:00, 6.67it/s] 100%|██████████| 17/17 [00:02<00:00, 6.28it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.6ms Speed: 2.8ms preprocess, 7.6ms 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: 2.8ms preprocess, 7.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.93it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.77it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.69it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.71it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.72it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.67it/s] 41%|████ | 7/17 [00:01<00:01, 6.63it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.64it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.65it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.68it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.67it/s] 71%|███████ | 12/17 [00:01<00:00, 6.69it/s] 76%|███████▋ | 13/17 [00:01<00:00, 6.65it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.65it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.66it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.68it/s] 100%|██████████| 17/17 [00:02<00:00, 6.69it/s] 100%|██████████| 17/17 [00:02<00:00, 6.68it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 1 face, 7.7ms Speed: 3.0ms preprocess, 7.7ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.92it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.79it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.74it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.71it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.70it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.64it/s] 41%|████ | 7/17 [00:01<00:01, 6.58it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.61it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.62it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.64it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.65it/s] 71%|███████ | 12/17 [00:01<00:00, 6.65it/s] 76%|███████▋ | 13/17 [00:01<00:00, 6.62it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.60it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.64it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.65it/s] 100%|██████████| 17/17 [00:02<00:00, 6.67it/s] 100%|██████████| 17/17 [00:02<00:00, 6.66it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.3ms Speed: 2.7ms preprocess, 7.3ms 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, 7.4ms Speed: 2.7ms preprocess, 7.4ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:02, 6.98it/s] 12%|█▏ | 2/17 [00:00<00:02, 6.37it/s] 18%|█▊ | 3/17 [00:00<00:02, 6.52it/s] 24%|██▎ | 4/17 [00:00<00:01, 6.60it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.64it/s] 35%|███▌ | 6/17 [00:00<00:01, 6.62it/s] 41%|████ | 7/17 [00:01<00:01, 6.60it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.57it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.60it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.62it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.61it/s] 71%|███████ | 12/17 [00:01<00:00, 6.63it/s] 76%|███████▋ | 13/17 [00:01<00:00, 6.62it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.60it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.60it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.61it/s] 100%|██████████| 17/17 [00:02<00:00, 6.62it/s] 100%|██████████| 17/17 [00:02<00:00, 6.60it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.6ms Speed: 3.1ms preprocess, 7.6ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Finished.