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Realistic Cyborg with Soranix
soranix:v0.12
evevalentine2017
evevalentine2017
·
12/12/2023
383
Input
prompt
Specify things to see in the output
(masterpiece, top quality, best quality, official art, beautiful and aesthetic:1.2), extreme detailed,(fractal art:1.3),colorful,highest detailed, ((holding gun)), 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, lace, hyperrealistic, anatomical, facial muscles, cable electric wires, microchip, elegant, beautiful background, octane render, H. R. Giger style, 8k, best quality, masterpiece, illustration, an extremely delicate and beautiful, extremely detailed ,CG ,unity ,wallpaper, (realistic, photo-realistic:1.37),Amazing, finely detail, masterpiece,best quality,official art, extremely detailed CG unity 8k wallpaper, absurdres, incredibly absurdres, robot, silver halmet, full body, <lora:FaceBeauty_qinglong_V3:1>, <lora:more_details:0.7>
negative_prompt
Specify things to not see in the output
signatre, logo,2 faces, ng_deepnegative_v1_75t, ((watermark)), ((text)), bad-hands-5, ((EasyNegativeV2))
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
num_outputs
Number of output images
4
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
65
width
Output image width
768
height
Output image height
768
reference_image
Image that the output should be similar to
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
40
cfg_scale
Scale for classifier-free guidance
6
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>
more_details.safetensors
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)
bad-hands-5.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.
true
Output
https://files.tungsten.run/uploads/a24dcdbba0b44212bc1f2fc4c938bd54/00000-65.png
https://files.tungsten.run/uploads/dcf054b47b9f43e08530c64997c62a0f/00001-66.png
https://files.tungsten.run/uploads/b20991317a45462a95dd6346e10d990b/00002-67.png
https://files.tungsten.run/uploads/5946dc5a52a0417da4f9d8b33eb363c9/00003-68.png
Finished in 66.5 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: (masterpiece, top quality, best quality, official art, beautiful and aesthetic:1.2), extreme detailed,(fractal art:1.3),colorful,highest detailed, ((holding gun)), 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, lace, hyperrealistic, anatomical, facial muscles, cable electric wires, microchip, elegant, beautiful background, octane render, H. R. Giger style, 8k, best quality, masterpiece, illustration, an extremely delicate and beautiful, extremely detailed ,CG ,unity ,wallpaper, (realistic, photo-realistic:1.37),Amazing, finely detail, masterpiece,best quality,official art, extremely detailed CG unity 8k wallpaper, absurdres, incredibly absurdres, robot, silver halmet, full body, <lora:FaceBeauty_qinglong_V3:1>, <lora:more_details:0.7> Full negative prompt: signatre, logo,2 faces, ng_deepnegative_v1_75t, ((watermark)), ((text)), bad-hands-5, ((EasyNegativeV2)) 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<00:48, 1.25s/it] 5%|▌ | 2/40 [00:01<00:33, 1.13it/s] 8%|▊ | 3/40 [00:02<00:28, 1.31it/s] 10%|█ | 4/40 [00:03<00:25, 1.40it/s] 12%|█▎ | 5/40 [00:03<00:24, 1.46it/s] 15%|█▌ | 6/40 [00:04<00:22, 1.50it/s] 18%|█▊ | 7/40 [00:05<00:21, 1.53it/s] 20%|██ | 8/40 [00:05<00:20, 1.54it/s] 22%|██▎ | 9/40 [00:06<00:20, 1.55it/s] 25%|██▌ | 10/40 [00:06<00:19, 1.56it/s] 28%|██▊ | 11/40 [00:07<00:18, 1.56it/s] 30%|███ | 12/40 [00:08<00:17, 1.56it/s] 32%|███▎ | 13/40 [00:08<00:17, 1.57it/s] 35%|███▌ | 14/40 [00:09<00:16, 1.57it/s] 38%|███▊ | 15/40 [00:10<00:15, 1.57it/s] 40%|████ | 16/40 [00:10<00:15, 1.57it/s] 42%|████▎ | 17/40 [00:11<00:14, 1.56it/s] 45%|████▌ | 18/40 [00:12<00:14, 1.56it/s] 48%|████▊ | 19/40 [00:12<00:13, 1.56it/s] 50%|█████ | 20/40 [00:13<00:12, 1.56it/s] 52%|█████▎ | 21/40 [00:13<00:12, 1.56it/s] 55%|█████▌ | 22/40 [00:14<00:11, 1.56it/s] 57%|█████▊ | 23/40 [00:15<00:10, 1.56it/s] 60%|██████ | 24/40 [00:15<00:10, 1.56it/s] 62%|██████▎ | 25/40 [00:16<00:09, 1.56it/s] 65%|██████▌ | 26/40 [00:17<00:08, 1.56it/s] 68%|██████▊ | 27/40 [00:17<00:08, 1.56it/s] 70%|███████ | 28/40 [00:18<00:07, 1.56it/s] 72%|███████▎ | 29/40 [00:19<00:07, 1.54it/s] 75%|███████▌ | 30/40 [00:19<00:06, 1.55it/s] 78%|███████▊ | 31/40 [00:20<00:05, 1.55it/s] 80%|████████ | 32/40 [00:21<00:05, 1.55it/s] 82%|████████▎ | 33/40 [00:21<00:04, 1.55it/s] 85%|████████▌ | 34/40 [00:22<00:03, 1.56it/s] 88%|████████▊ | 35/40 [00:22<00:03, 1.56it/s] 90%|█████████ | 36/40 [00:23<00:02, 1.55it/s] 92%|█████████▎| 37/40 [00:24<00:01, 1.55it/s] 95%|█████████▌| 38/40 [00:24<00:01, 1.55it/s] 98%|█████████▊| 39/40 [00:25<00:00, 1.55it/s] 100%|██████████| 40/40 [00:26<00:00, 1.55it/s] 100%|██████████| 40/40 [00:26<00:00, 1.53it/s] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 8.4ms Speed: 3.5ms preprocess, 8.4ms inference, 32.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:08, 2.62it/s] 9%|▊ | 2/23 [00:00<00:05, 3.66it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.19it/s] 17%|█▋ | 4/23 [00:00<00:04, 4.46it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.65it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.78it/s] 30%|███ | 7/23 [00:01<00:03, 4.85it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.88it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.90it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.92it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.94it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.96it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.98it/s] 61%|██████ | 14/23 [00:02<00:01, 5.00it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.90it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.94it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.97it/s] 78%|███████▊ | 18/23 [00:03<00:00, 5.00it/s] 83%|████████▎ | 19/23 [00:03<00:00, 5.03it/s] 87%|████████▋ | 20/23 [00:04<00:00, 5.01it/s] 91%|█████████▏| 21/23 [00:04<00:00, 5.01it/s] 96%|█████████▌| 22/23 [00:04<00:00, 5.03it/s] 100%|██████████| 23/23 [00:04<00:00, 5.04it/s] 100%|██████████| 23/23 [00:04<00:00, 4.81it/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: 2.9ms preprocess, 7.4ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 5.04it/s] 9%|▊ | 2/23 [00:00<00:04, 4.67it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.84it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.94it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.97it/s] 26%|██▌ | 6/23 [00:01<00:03, 5.01it/s] 30%|███ | 7/23 [00:01<00:03, 4.96it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.98it/s] 39%|███▉ | 9/23 [00:01<00:02, 5.02it/s] 43%|████▎ | 10/23 [00:02<00:02, 5.02it/s] 48%|████▊ | 11/23 [00:02<00:02, 5.04it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.89it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.93it/s] 61%|██████ | 14/23 [00:02<00:01, 4.95it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.87it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.92it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.83it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.89it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.94it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.96it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.97it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.85it/s] 100%|██████████| 23/23 [00:04<00:00, 4.89it/s] 100%|██████████| 23/23 [00:04<00:00, 4.93it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.7ms Speed: 3.2ms preprocess, 7.7ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.92it/s] 9%|▊ | 2/23 [00:00<00:04, 4.96it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.96it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.92it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.96it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.99it/s] 30%|███ | 7/23 [00:01<00:03, 5.01it/s] 35%|███▍ | 8/23 [00:01<00:03, 5.00it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.94it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.97it/s] 48%|████▊ | 11/23 [00:02<00:02, 5.00it/s] 52%|█████▏ | 12/23 [00:02<00:02, 5.01it/s] 57%|█████▋ | 13/23 [00:02<00:01, 5.01it/s] 61%|██████ | 14/23 [00:02<00:01, 4.93it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.95it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.97it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.89it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.93it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.86it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.92it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.97it/s] 96%|█████████▌| 22/23 [00:04<00:00, 5.00it/s] 100%|██████████| 23/23 [00:04<00:00, 5.02it/s] 100%|██████████| 23/23 [00:04<00:00, 4.97it/s] Decoding latents in cuda:0... done in 0.24s 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 2 with 2nd settings. 0: 640x640 1 face, 7.3ms Speed: 2.6ms preprocess, 7.3ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 5.10it/s] 9%|▊ | 2/23 [00:00<00:04, 5.09it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.90it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.97it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.99it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.95it/s] 30%|███ | 7/23 [00:01<00:03, 4.97it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.98it/s] 39%|███▉ | 9/23 [00:01<00:02, 5.00it/s] 43%|████▎ | 10/23 [00:02<00:02, 5.01it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.99it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.96it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.98it/s] 61%|██████ | 14/23 [00:02<00:01, 4.95it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.96it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.88it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.91it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.85it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.86it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.89it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.77it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.84it/s] 100%|██████████| 23/23 [00:04<00:00, 4.89it/s] 100%|██████████| 23/23 [00:04<00:00, 4.93it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.2ms Speed: 3.0ms preprocess, 7.2ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 1 face, 7.9ms Speed: 2.7ms preprocess, 7.9ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.72it/s] 9%|▊ | 2/23 [00:00<00:04, 4.88it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.95it/s] 17%|█▋ | 4/23 [00:00<00:03, 5.00it/s] 22%|██▏ | 5/23 [00:01<00:03, 5.00it/s] 26%|██▌ | 6/23 [00:01<00:03, 5.01it/s] 30%|███ | 7/23 [00:01<00:03, 5.00it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.98it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.99it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.94it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.92it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.92it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.93it/s] 61%|██████ | 14/23 [00:02<00:01, 4.94it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.96it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.98it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.99it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.99it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.99it/s] 87%|████████▋ | 20/23 [00:04<00:00, 5.00it/s] 91%|█████████▏| 21/23 [00:04<00:00, 5.01it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.94it/s] 100%|██████████| 23/23 [00:04<00:00, 4.95it/s] 100%|██████████| 23/23 [00:04<00:00, 4.96it/s] Decoding latents in cuda:0... done in 0.24s 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 4 with 2nd settings. Finished.
prompt
Specify things to see in the output
(masterpiece, top quality, best quality, official art, beautiful and aesthetic:1.2), extreme detailed,(fractal art:1.3),colorful,highest detailed, ((holding gun)), 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, lace, hyperrealistic, anatomical, facial muscles, cable electric wires, microchip, elegant, beautiful background, octane render, H. R. Giger style, 8k, best quality, masterpiece, illustration, an extremely delicate and beautiful, extremely detailed ,CG ,unity ,wallpaper, (realistic, photo-realistic:1.37),Amazing, finely detail, masterpiece,best quality,official art, extremely detailed CG unity 8k wallpaper, absurdres, incredibly absurdres, robot, silver halmet, full body, <lora:FaceBeauty_qinglong_V3:1>, <lora:more_details:0.7>
negative_prompt
Specify things to not see in the output
signatre, logo,2 faces, ng_deepnegative_v1_75t, ((watermark)), ((text)), bad-hands-5, ((EasyNegativeV2))
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
num_outputs
Number of output images
4
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
65
width
Output image width
768
height
Output image height
768
reference_image
Image that the output should be similar to
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
40
cfg_scale
Scale for classifier-free guidance
6
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>
more_details.safetensors
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)
bad-hands-5.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.
true
https://files.tungsten.run/uploads/a24dcdbba0b44212bc1f2fc4c938bd54/00000-65.png
https://files.tungsten.run/uploads/dcf054b47b9f43e08530c64997c62a0f/00001-66.png
https://files.tungsten.run/uploads/b20991317a45462a95dd6346e10d990b/00002-67.png
https://files.tungsten.run/uploads/5946dc5a52a0417da4f9d8b33eb363c9/00003-68.png
Finished in 66.5 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: (masterpiece, top quality, best quality, official art, beautiful and aesthetic:1.2), extreme detailed,(fractal art:1.3),colorful,highest detailed, ((holding gun)), 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, lace, hyperrealistic, anatomical, facial muscles, cable electric wires, microchip, elegant, beautiful background, octane render, H. R. Giger style, 8k, best quality, masterpiece, illustration, an extremely delicate and beautiful, extremely detailed ,CG ,unity ,wallpaper, (realistic, photo-realistic:1.37),Amazing, finely detail, masterpiece,best quality,official art, extremely detailed CG unity 8k wallpaper, absurdres, incredibly absurdres, robot, silver halmet, full body, <lora:FaceBeauty_qinglong_V3:1>, <lora:more_details:0.7> Full negative prompt: signatre, logo,2 faces, ng_deepnegative_v1_75t, ((watermark)), ((text)), bad-hands-5, ((EasyNegativeV2)) 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<00:48, 1.25s/it] 5%|▌ | 2/40 [00:01<00:33, 1.13it/s] 8%|▊ | 3/40 [00:02<00:28, 1.31it/s] 10%|█ | 4/40 [00:03<00:25, 1.40it/s] 12%|█▎ | 5/40 [00:03<00:24, 1.46it/s] 15%|█▌ | 6/40 [00:04<00:22, 1.50it/s] 18%|█▊ | 7/40 [00:05<00:21, 1.53it/s] 20%|██ | 8/40 [00:05<00:20, 1.54it/s] 22%|██▎ | 9/40 [00:06<00:20, 1.55it/s] 25%|██▌ | 10/40 [00:06<00:19, 1.56it/s] 28%|██▊ | 11/40 [00:07<00:18, 1.56it/s] 30%|███ | 12/40 [00:08<00:17, 1.56it/s] 32%|███▎ | 13/40 [00:08<00:17, 1.57it/s] 35%|███▌ | 14/40 [00:09<00:16, 1.57it/s] 38%|███▊ | 15/40 [00:10<00:15, 1.57it/s] 40%|████ | 16/40 [00:10<00:15, 1.57it/s] 42%|████▎ | 17/40 [00:11<00:14, 1.56it/s] 45%|████▌ | 18/40 [00:12<00:14, 1.56it/s] 48%|████▊ | 19/40 [00:12<00:13, 1.56it/s] 50%|█████ | 20/40 [00:13<00:12, 1.56it/s] 52%|█████▎ | 21/40 [00:13<00:12, 1.56it/s] 55%|█████▌ | 22/40 [00:14<00:11, 1.56it/s] 57%|█████▊ | 23/40 [00:15<00:10, 1.56it/s] 60%|██████ | 24/40 [00:15<00:10, 1.56it/s] 62%|██████▎ | 25/40 [00:16<00:09, 1.56it/s] 65%|██████▌ | 26/40 [00:17<00:08, 1.56it/s] 68%|██████▊ | 27/40 [00:17<00:08, 1.56it/s] 70%|███████ | 28/40 [00:18<00:07, 1.56it/s] 72%|███████▎ | 29/40 [00:19<00:07, 1.54it/s] 75%|███████▌ | 30/40 [00:19<00:06, 1.55it/s] 78%|███████▊ | 31/40 [00:20<00:05, 1.55it/s] 80%|████████ | 32/40 [00:21<00:05, 1.55it/s] 82%|████████▎ | 33/40 [00:21<00:04, 1.55it/s] 85%|████████▌ | 34/40 [00:22<00:03, 1.56it/s] 88%|████████▊ | 35/40 [00:22<00:03, 1.56it/s] 90%|█████████ | 36/40 [00:23<00:02, 1.55it/s] 92%|█████████▎| 37/40 [00:24<00:01, 1.55it/s] 95%|█████████▌| 38/40 [00:24<00:01, 1.55it/s] 98%|█████████▊| 39/40 [00:25<00:00, 1.55it/s] 100%|██████████| 40/40 [00:26<00:00, 1.55it/s] 100%|██████████| 40/40 [00:26<00:00, 1.53it/s] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 8.4ms Speed: 3.5ms preprocess, 8.4ms inference, 32.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:08, 2.62it/s] 9%|▊ | 2/23 [00:00<00:05, 3.66it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.19it/s] 17%|█▋ | 4/23 [00:00<00:04, 4.46it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.65it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.78it/s] 30%|███ | 7/23 [00:01<00:03, 4.85it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.88it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.90it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.92it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.94it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.96it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.98it/s] 61%|██████ | 14/23 [00:02<00:01, 5.00it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.90it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.94it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.97it/s] 78%|███████▊ | 18/23 [00:03<00:00, 5.00it/s] 83%|████████▎ | 19/23 [00:03<00:00, 5.03it/s] 87%|████████▋ | 20/23 [00:04<00:00, 5.01it/s] 91%|█████████▏| 21/23 [00:04<00:00, 5.01it/s] 96%|█████████▌| 22/23 [00:04<00:00, 5.03it/s] 100%|██████████| 23/23 [00:04<00:00, 5.04it/s] 100%|██████████| 23/23 [00:04<00:00, 4.81it/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: 2.9ms preprocess, 7.4ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 5.04it/s] 9%|▊ | 2/23 [00:00<00:04, 4.67it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.84it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.94it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.97it/s] 26%|██▌ | 6/23 [00:01<00:03, 5.01it/s] 30%|███ | 7/23 [00:01<00:03, 4.96it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.98it/s] 39%|███▉ | 9/23 [00:01<00:02, 5.02it/s] 43%|████▎ | 10/23 [00:02<00:02, 5.02it/s] 48%|████▊ | 11/23 [00:02<00:02, 5.04it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.89it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.93it/s] 61%|██████ | 14/23 [00:02<00:01, 4.95it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.87it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.92it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.83it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.89it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.94it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.96it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.97it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.85it/s] 100%|██████████| 23/23 [00:04<00:00, 4.89it/s] 100%|██████████| 23/23 [00:04<00:00, 4.93it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.7ms Speed: 3.2ms preprocess, 7.7ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.92it/s] 9%|▊ | 2/23 [00:00<00:04, 4.96it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.96it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.92it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.96it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.99it/s] 30%|███ | 7/23 [00:01<00:03, 5.01it/s] 35%|███▍ | 8/23 [00:01<00:03, 5.00it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.94it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.97it/s] 48%|████▊ | 11/23 [00:02<00:02, 5.00it/s] 52%|█████▏ | 12/23 [00:02<00:02, 5.01it/s] 57%|█████▋ | 13/23 [00:02<00:01, 5.01it/s] 61%|██████ | 14/23 [00:02<00:01, 4.93it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.95it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.97it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.89it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.93it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.86it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.92it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.97it/s] 96%|█████████▌| 22/23 [00:04<00:00, 5.00it/s] 100%|██████████| 23/23 [00:04<00:00, 5.02it/s] 100%|██████████| 23/23 [00:04<00:00, 4.97it/s] Decoding latents in cuda:0... done in 0.24s 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 2 with 2nd settings. 0: 640x640 1 face, 7.3ms Speed: 2.6ms preprocess, 7.3ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 5.10it/s] 9%|▊ | 2/23 [00:00<00:04, 5.09it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.90it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.97it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.99it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.95it/s] 30%|███ | 7/23 [00:01<00:03, 4.97it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.98it/s] 39%|███▉ | 9/23 [00:01<00:02, 5.00it/s] 43%|████▎ | 10/23 [00:02<00:02, 5.01it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.99it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.96it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.98it/s] 61%|██████ | 14/23 [00:02<00:01, 4.95it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.96it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.88it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.91it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.85it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.86it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.89it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.77it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.84it/s] 100%|██████████| 23/23 [00:04<00:00, 4.89it/s] 100%|██████████| 23/23 [00:04<00:00, 4.93it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.2ms Speed: 3.0ms preprocess, 7.2ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 1 face, 7.9ms Speed: 2.7ms preprocess, 7.9ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.72it/s] 9%|▊ | 2/23 [00:00<00:04, 4.88it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.95it/s] 17%|█▋ | 4/23 [00:00<00:03, 5.00it/s] 22%|██▏ | 5/23 [00:01<00:03, 5.00it/s] 26%|██▌ | 6/23 [00:01<00:03, 5.01it/s] 30%|███ | 7/23 [00:01<00:03, 5.00it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.98it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.99it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.94it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.92it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.92it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.93it/s] 61%|██████ | 14/23 [00:02<00:01, 4.94it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.96it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.98it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.99it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.99it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.99it/s] 87%|████████▋ | 20/23 [00:04<00:00, 5.00it/s] 91%|█████████▏| 21/23 [00:04<00:00, 5.01it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.94it/s] 100%|██████████| 23/23 [00:04<00:00, 4.95it/s] 100%|██████████| 23/23 [00:04<00:00, 4.96it/s] Decoding latents in cuda:0... done in 0.24s 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 4 with 2nd settings. Finished.