Couples Dancing with Tamarin XL
Input
prompt
Specify things to see in the output
beautiful artwork illustration, (portrait composition:1.5), ballroom couple of dancers dancing together, beautiful woman, latina,highly detailed face,perfect makeup, long legs, lowcut back, goodlooking man, tall, black tuxedo, ((best quality)), ((masterpiece)), (detailed), <lora:tweak-detail-xl:2>
negative_prompt
Specify things to not see in the output
letters, words, signature, (portrait), (close up)
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1024
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
brightness
Adjust brightness
0
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2816015102
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
40
cfg_scale
Scale for classifier-free guidance
5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
None
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 379.5 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: beautiful artwork illustration, (portrait composition:1.5), ballroom couple of dancers dancing together, beautiful woman, latina,highly detailed face,perfect makeup, long legs, lowcut back, goodlooking man, tall, black tuxedo, ((best quality)), ((masterpiece)), (detailed), <lora:tweak-detail-xl:2>
Full negative prompt: letters, words, signature, (portrait), (close up)
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0: 640x480 8 faces, 168.1ms
Speed: 2.8ms preprocess, 168.1ms inference, 27.1ms postprocess per image at shape (1, 3, 640, 480)
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0: 640x480 4 hands, 102.9ms
Speed: 2.4ms preprocess, 102.9ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 480)
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Decoding latents in cuda:0...
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0: 640x480 11 faces, 7.9ms
Speed: 2.4ms preprocess, 7.9ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 480)
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Decoding latents in cuda:0...
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Decoding latents in cuda:0...
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0: 640x480 4 hands, 8.1ms
Speed: 2.4ms preprocess, 8.1ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 480)
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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: 640x480 8 faces, 8.2ms
Speed: 2.4ms preprocess, 8.2ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 480)
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Decoding latents in cuda:0...
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Decoding latents in cuda:0...
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0: 640x480 7 hands, 7.7ms
Speed: 2.3ms preprocess, 7.7ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 480)
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Uploading outputs...
Finished.
prompt
Specify things to see in the output
beautiful artwork illustration, (portrait composition:1.5), ballroom couple of dancers dancing together, beautiful woman, latina,highly detailed face,perfect makeup, long legs, lowcut back, goodlooking man, tall, black tuxedo, ((best quality)), ((masterpiece)), (detailed), <lora:tweak-detail-xl:2>
negative_prompt
Specify things to not see in the output
letters, words, signature, (portrait), (close up)
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1024
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
brightness
Adjust brightness
0
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2816015102
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
40
cfg_scale
Scale for classifier-free guidance
5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
None
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 379.5 seconds
Setting up the model...
Preparing inputs...
Processing...
Full prompt: beautiful artwork illustration, (portrait composition:1.5), ballroom couple of dancers dancing together, beautiful woman, latina,highly detailed face,perfect makeup, long legs, lowcut back, goodlooking man, tall, black tuxedo, ((best quality)), ((masterpiece)), (detailed), <lora:tweak-detail-xl:2>
Full negative prompt: letters, words, signature, (portrait), (close up)
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Decoding latents in cuda:0...
done in 1.73s
Move latents to cpu...
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0: 640x480 8 faces, 168.1ms
Speed: 2.8ms preprocess, 168.1ms inference, 27.1ms postprocess per image at shape (1, 3, 640, 480)
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Decoding latents in cuda:0...
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Move latents to cpu...
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0: 640x480 4 hands, 102.9ms
Speed: 2.4ms preprocess, 102.9ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 480)
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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: 640x480 11 faces, 7.9ms
Speed: 2.4ms preprocess, 7.9ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 480)
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Decoding latents in cuda:0...
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0: 640x480 4 hands, 8.1ms
Speed: 2.4ms preprocess, 8.1ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 480)
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Decoding latents in cuda:0...
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0: 640x480 8 faces, 8.2ms
Speed: 2.4ms preprocess, 8.2ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 480)
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Decoding latents in cuda:0...
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Move latents to cpu...
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0: 640x480 7 hands, 7.7ms
Speed: 2.3ms preprocess, 7.7ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 480)
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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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Move latents to cpu...
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Decoding latents in cuda:0...
done in 0.58s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.