Circuit Suits with 3DReal 3DRealistic
Input
prompt
Specify things to see in the output
1 adult woman, upper body, CyberMamanBrigitte, headphones, goggles, gamer, (catsuit, CircuitBoardAI), GlowingRunes_paleblue, GlowingRunes_purple, interior of cyberpunk nethacker workshop, detailed <lora:add_detail:0.8>, <lora:CircuitBoardAI:1>
negative_prompt
Specify things to not see in the output
colours, text, logo, (worst quality:2), (low quality:2), (normal quality:1.8), lowres, ((monochrome)), ((grayscale)), sketch, ugly, morbid, deformed,logo,text, bad anatomy, bad proportions, bad_prompt_version2-neg, EasyNegativeV2, bad-hands-5
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
0.1
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.
2440091730
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 SDE Karras
samping_steps
Number of denoising steps
50
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>
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)
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
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
Finished in 198.6 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: 1 adult woman, upper body, CyberMamanBrigitte, headphones, goggles, gamer, (catsuit, CircuitBoardAI), GlowingRunes_paleblue, GlowingRunes_purple, interior of cyberpunk nethacker workshop, detailed, <lora:CircuitBoardAI:1>, (intrincate details:1.5), (ultra detailed:1.5), (top quality:1.5), (masterpiece:1.5), (ultra realistic:1.5), <lora:add_detail:0.1>
Full negative prompt: colours, text, logo, (worst quality:2), (low quality:2), (normal quality:1.8), lowres, ((monochrome)), ((grayscale)), sketch, ugly, morbid, deformed,logo,text, bad anatomy, bad proportions, bad_prompt_version2-neg, EasyNegativeV2, bad-hands-5
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Decoding latents in cuda:0...
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Move latents to cpu...
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0: 640x640 1 face, 7.5ms
Speed: 2.9ms preprocess, 7.5ms inference, 24.7ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 1 hand, 6.9ms
Speed: 2.8ms preprocess, 6.9ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 7.2ms
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0: 640x640 3 hands, 6.8ms
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Decoding latents in cuda:0...
===========================================
A tensor with all NaNs was produced in VAE.
Converted VAE into 32-bit float and retry.
===========================================
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0: 640x640 2 faces, 7.3ms
Speed: 2.8ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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0: 640x640 2 hands, 7.0ms
Speed: 2.6ms preprocess, 7.0ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.39s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.
prompt
Specify things to see in the output
1 adult woman, upper body, CyberMamanBrigitte, headphones, goggles, gamer, (catsuit, CircuitBoardAI), GlowingRunes_paleblue, GlowingRunes_purple, interior of cyberpunk nethacker workshop, detailed <lora:add_detail:0.8>, <lora:CircuitBoardAI:1>
negative_prompt
Specify things to not see in the output
colours, text, logo, (worst quality:2), (low quality:2), (normal quality:1.8), lowres, ((monochrome)), ((grayscale)), sketch, ugly, morbid, deformed,logo,text, bad anatomy, bad proportions, bad_prompt_version2-neg, EasyNegativeV2, bad-hands-5
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
0.1
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.
2440091730
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 SDE Karras
samping_steps
Number of denoising steps
50
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>
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)
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
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
Finished in 198.6 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: 1 adult woman, upper body, CyberMamanBrigitte, headphones, goggles, gamer, (catsuit, CircuitBoardAI), GlowingRunes_paleblue, GlowingRunes_purple, interior of cyberpunk nethacker workshop, detailed, <lora:CircuitBoardAI:1>, (intrincate details:1.5), (ultra detailed:1.5), (top quality:1.5), (masterpiece:1.5), (ultra realistic:1.5), <lora:add_detail:0.1>
Full negative prompt: colours, text, logo, (worst quality:2), (low quality:2), (normal quality:1.8), lowres, ((monochrome)), ((grayscale)), sketch, ugly, morbid, deformed,logo,text, bad anatomy, bad proportions, bad_prompt_version2-neg, EasyNegativeV2, bad-hands-5
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Decoding latents in cuda:0...
done in 0.95s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.5ms
Speed: 2.9ms preprocess, 7.5ms inference, 24.7ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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Move latents to cpu...
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0: 640x640 1 hand, 6.9ms
Speed: 2.8ms preprocess, 6.9ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.2ms
Speed: 2.6ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.0ms
Speed: 2.7ms preprocess, 7.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.4ms
Speed: 2.7ms preprocess, 7.4ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 3 hands, 6.8ms
Speed: 2.7ms preprocess, 6.8ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
===========================================
A tensor with all NaNs was produced in VAE.
Converted VAE into 32-bit float and retry.
===========================================
done in 0.43s
Move latents to cpu...
done in 0.22s
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100%|██████████| 23/23 [00:08<00:00, 3.89it/s]
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Decoding latents in cuda:0...
done in 0.39s
Move latents to cpu...
done in 0.0s
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Decoding latents in cuda:0...
done in 0.39s
Move latents to cpu...
done in 0.0s
0: 640x640 2 faces, 7.3ms
Speed: 2.8ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.39s
Move latents to cpu...
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Decoding latents in cuda:0...
done in 0.39s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 7.0ms
Speed: 2.6ms preprocess, 7.0ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.39s
Move latents to cpu...
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Decoding latents in cuda:0...
done in 0.39s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.