Purple Hair Girls with Furricanes HumanMix
Input
prompt
Specify things to see in the output
(character turnaround sheet:1.3), multiple views, bright (plain green background:1.3), 1girl ,pawg, 1girl, Bosnian woman, wearing Abstract pattern t-shirt with overlapping shapes and vibrant colors, medium breasts, violet hair, masterpiece, best quality, high heel shoes, thigh highs, full body, <lora:add_detail:0.8>
negative_prompt
Specify things to not see in the output
nsfw, nude, vagina, genitalia, loli, asian, ground, EasyNegative, (artist name, signature, watermark:1.4), (ugly:1.2), (worst quality, poor details:1.4), blurry, large breasts, garters, garter belt, umbrella
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
0.1
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.
3169198426
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
Restart
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
7.5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
clearvae_v2.3_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 247.8 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors
Full prompt: (character turnaround sheet:1.3), multiple views, bright (plain green background:1.3), 1girl ,pawg, 1girl, Bosnian woman, wearing Abstract pattern t-shirt with overlapping shapes and vibrant colors, medium breasts, violet hair, masterpiece, best quality, high heel shoes, thigh highs, full body, <lora:add_detail:0.1>
Full negative prompt: nsfw, nude, vagina, genitalia, loli, asian, ground, EasyNegative, (artist name, signature, watermark:1.4), (ugly:1.2), (worst quality, poor details:1.4), blurry, large breasts, garters, garter belt, umbrella
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0: 640x640 3 faces, 8.2ms
Speed: 6.5ms preprocess, 8.2ms inference, 33.7ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 4 hands, 7.9ms
Speed: 3.1ms preprocess, 7.9ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 4 faces, 7.4ms
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82%|████████▏ | 14/17 [00:04<00:00, 3.17it/s]
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100%|██████████| 17/17 [00:05<00:00, 3.73it/s]
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Decoding latents in cuda:0...
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Move latents to cpu...
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0: 640x640 5 hands, 7.4ms
Speed: 2.9ms preprocess, 7.4ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640)
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100%|██████████| 17/17 [00:05<00:00, 3.74it/s]
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Decoding latents in cuda:0...
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100%|██████████| 17/17 [00:05<00:00, 3.74it/s]
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Decoding latents in cuda:0...
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Move latents to cpu...
done in 0.0s
0: 640x640 3 faces, 7.9ms
Speed: 3.1ms preprocess, 7.9ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640)
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100%|██████████| 17/17 [00:05<00:00, 3.78it/s]
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Decoding latents in cuda:0...
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100%|██████████| 17/17 [00:05<00:00, 3.79it/s]
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Decoding latents in cuda:0...
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100%|██████████| 17/17 [00:05<00:00, 3.79it/s]
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Decoding latents in cuda:0...
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Move latents to cpu...
done in 0.0s
0: 640x640 5 hands, 7.5ms
Speed: 3.0ms preprocess, 7.5ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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100%|██████████| 17/17 [00:05<00:00, 3.79it/s]
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Decoding latents in cuda:0...
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Decoding latents in cuda:0...
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0: 640x640 4 faces, 7.6ms
Speed: 2.8ms preprocess, 7.6ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 6 hands, 7.7ms
Speed: 3.2ms preprocess, 7.7ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
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Finished.
prompt
Specify things to see in the output
(character turnaround sheet:1.3), multiple views, bright (plain green background:1.3), 1girl ,pawg, 1girl, Bosnian woman, wearing Abstract pattern t-shirt with overlapping shapes and vibrant colors, medium breasts, violet hair, masterpiece, best quality, high heel shoes, thigh highs, full body, <lora:add_detail:0.8>
negative_prompt
Specify things to not see in the output
nsfw, nude, vagina, genitalia, loli, asian, ground, EasyNegative, (artist name, signature, watermark:1.4), (ugly:1.2), (worst quality, poor details:1.4), blurry, large breasts, garters, garter belt, umbrella
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
0.1
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.
3169198426
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
Restart
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
7.5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
clearvae_v2.3_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 247.8 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors
Full prompt: (character turnaround sheet:1.3), multiple views, bright (plain green background:1.3), 1girl ,pawg, 1girl, Bosnian woman, wearing Abstract pattern t-shirt with overlapping shapes and vibrant colors, medium breasts, violet hair, masterpiece, best quality, high heel shoes, thigh highs, full body, <lora:add_detail:0.1>
Full negative prompt: nsfw, nude, vagina, genitalia, loli, asian, ground, EasyNegative, (artist name, signature, watermark:1.4), (ugly:1.2), (worst quality, poor details:1.4), blurry, large breasts, garters, garter belt, umbrella
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83%|████████▎ | 25/30 [00:34<00:06, 1.35s/it]
87%|████████▋ | 26/30 [00:35<00:05, 1.36s/it]
90%|█████████ | 27/30 [00:36<00:04, 1.36s/it]
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100%|██████████| 30/30 [00:40<00:00, 1.15s/it]
100%|██████████| 30/30 [00:40<00:00, 1.34s/it]
Decoding latents in cuda:0...
done in 0.98s
Move latents to cpu...
done in 0.02s
0: 640x640 3 faces, 8.2ms
Speed: 6.5ms preprocess, 8.2ms inference, 33.7ms postprocess per image at shape (1, 3, 640, 640)
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82%|████████▏ | 14/17 [00:04<00:00, 3.18it/s]
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100%|██████████| 17/17 [00:05<00:00, 3.74it/s]
100%|██████████| 17/17 [00:05<00:00, 3.21it/s]
Decoding latents in cuda:0...
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Move latents to cpu...
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100%|██████████| 17/17 [00:05<00:00, 3.74it/s]
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Decoding latents in cuda:0...
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Move latents to cpu...
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71%|███████ | 12/17 [00:03<00:01, 3.19it/s]
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82%|████████▏ | 14/17 [00:04<00:00, 3.18it/s]
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100%|██████████| 17/17 [00:05<00:00, 3.72it/s]
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 4 hands, 7.9ms
Speed: 3.1ms preprocess, 7.9ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
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100%|██████████| 17/17 [00:05<00:00, 3.72it/s]
100%|██████████| 17/17 [00:05<00:00, 3.29it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
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82%|████████▏ | 14/17 [00:04<00:00, 3.17it/s]
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100%|██████████| 17/17 [00:05<00:00, 3.72it/s]
100%|██████████| 17/17 [00:05<00:00, 3.27it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
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100%|██████████| 17/17 [00:05<00:00, 3.72it/s]
100%|██████████| 17/17 [00:05<00:00, 3.28it/s]
Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
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71%|███████ | 12/17 [00:03<00:01, 3.18it/s]
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100%|██████████| 17/17 [00:05<00:00, 3.72it/s]
100%|██████████| 17/17 [00:05<00:00, 3.28it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 4 faces, 7.4ms
Speed: 2.8ms preprocess, 7.4ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
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100%|██████████| 17/17 [00:05<00:00, 3.74it/s]
100%|██████████| 17/17 [00:05<00:00, 3.29it/s]
Decoding latents in cuda:0...
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Move latents to cpu...
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100%|██████████| 17/17 [00:05<00:00, 3.73it/s]
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
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47%|████▋ | 8/17 [00:02<00:02, 3.20it/s]
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71%|███████ | 12/17 [00:03<00:01, 3.19it/s]
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100%|██████████| 17/17 [00:05<00:00, 3.71it/s]
100%|██████████| 17/17 [00:05<00:00, 3.28it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
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0%| | 0/17 [00:00<?, ?it/s]
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100%|██████████| 17/17 [00:05<00:00, 3.73it/s]
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 5 hands, 7.4ms
Speed: 2.9ms preprocess, 7.4ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640)
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100%|██████████| 17/17 [00:05<00:00, 3.73it/s]
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Decoding latents in cuda:0...
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Move latents to cpu...
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100%|██████████| 17/17 [00:05<00:00, 3.75it/s]
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Decoding latents in cuda:0...
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100%|██████████| 17/17 [00:05<00:00, 3.74it/s]
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Decoding latents in cuda:0...
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Decoding latents in cuda:0...
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Move latents to cpu...
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0: 640x640 3 faces, 7.9ms
Speed: 3.1ms preprocess, 7.9ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640)
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100%|██████████| 17/17 [00:05<00:00, 3.79it/s]
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Decoding latents in cuda:0...
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Decoding latents in cuda:0...
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Move latents to cpu...
done in 0.0s
0: 640x640 5 hands, 7.5ms
Speed: 3.0ms preprocess, 7.5ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640)
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100%|██████████| 17/17 [00:05<00:00, 3.79it/s]
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Decoding latents in cuda:0...
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100%|██████████| 17/17 [00:05<00:00, 3.79it/s]
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100%|██████████| 17/17 [00:05<00:00, 3.78it/s]
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100%|██████████| 17/17 [00:05<00:00, 3.77it/s]
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Decoding latents in cuda:0...
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Move latents to cpu...
done in 0.0s
0: 640x640 4 faces, 7.6ms
Speed: 2.8ms preprocess, 7.6ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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Decoding latents in cuda:0...
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Decoding latents in cuda:0...
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0: 640x640 6 hands, 7.7ms
Speed: 3.2ms preprocess, 7.7ms inference, 1.9ms 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...
done in 0.0s
Finished.