Girls Under Water with Zovya Photoreal
Input
prompt
Specify things to see in the output
2 girls, women, tropical reef snorkeling, (masterpiece: 1.2), (photorealistic: 1.2), (bokeh), (best quality), (detailed skin: 1.3), (intricate details), (8k), (HDR), (analog film), (Canon D5), (cinematic lighting), (sharp focus), volumetric light, <lora:epiCRealismHelper: 1>, <lora: ReaLora:0.8>,
negative_prompt
Specify things to not see in the output
(spoon: 1.3), (monochrome), (bad hands), (disfigured), (grain), (Deformed), (poorly drawn), (mutilated), (lowres), (deformed), (dark), (lowpoly), (CG), (3d), (blurry), (duplicate), (watermark), (label), (signature), (frames), (text), realisticvision-negative-embedding
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.
779427677
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++ 2S a Karras
samping_steps
Number of denoising steps
25
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 168.4 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: 2 girls, women, tropical reef snorkeling, (masterpiece: 1.2), (photorealistic: 1.2), (bokeh), (best quality), (detailed skin: 1.3), (intricate details), (8k), (HDR), (analog film), (Canon D5), (cinematic lighting), (sharp focus), volumetric light, <lora:epiCRealismHelper: 1>, <lora: ReaLora:0.8>,
Full negative prompt: (spoon: 1.3), (monochrome), (bad hands), (disfigured), (grain), (Deformed), (poorly drawn), (mutilated), (lowres), (deformed), (dark), (lowpoly), (CG), (3d), (blurry), (duplicate), (watermark), (label), (signature), (frames), (text), realisticvision-negative-embedding
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0: 640x640 2 faces, 8.2ms
Speed: 3.7ms preprocess, 8.2ms inference, 33.2ms postprocess per image at shape (1, 3, 640, 640)
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A tensor with all NaNs was produced in VAE.
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0: 640x640 8 hands, 7.5ms
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0: 640x640 2 faces, 7.8ms
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0: 640x640 2 hands, 7.2ms
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0: 640x640 1 face, 7.6ms
Speed: 2.9ms preprocess, 7.6ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 3 hands, 7.4ms
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0: 640x640 2 faces, 7.7ms
Speed: 3.2ms preprocess, 7.7ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 3 hands, 7.7ms
Speed: 3.1ms preprocess, 7.7ms inference, 2.2ms postprocess per image at shape (1, 3, 640, 640)
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Finished.
prompt
Specify things to see in the output
2 girls, women, tropical reef snorkeling, (masterpiece: 1.2), (photorealistic: 1.2), (bokeh), (best quality), (detailed skin: 1.3), (intricate details), (8k), (HDR), (analog film), (Canon D5), (cinematic lighting), (sharp focus), volumetric light, <lora:epiCRealismHelper: 1>, <lora: ReaLora:0.8>,
negative_prompt
Specify things to not see in the output
(spoon: 1.3), (monochrome), (bad hands), (disfigured), (grain), (Deformed), (poorly drawn), (mutilated), (lowres), (deformed), (dark), (lowpoly), (CG), (3d), (blurry), (duplicate), (watermark), (label), (signature), (frames), (text), realisticvision-negative-embedding
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.
779427677
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++ 2S a Karras
samping_steps
Number of denoising steps
25
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 168.4 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: 2 girls, women, tropical reef snorkeling, (masterpiece: 1.2), (photorealistic: 1.2), (bokeh), (best quality), (detailed skin: 1.3), (intricate details), (8k), (HDR), (analog film), (Canon D5), (cinematic lighting), (sharp focus), volumetric light, <lora:epiCRealismHelper: 1>, <lora: ReaLora:0.8>,
Full negative prompt: (spoon: 1.3), (monochrome), (bad hands), (disfigured), (grain), (Deformed), (poorly drawn), (mutilated), (lowres), (deformed), (dark), (lowpoly), (CG), (3d), (blurry), (duplicate), (watermark), (label), (signature), (frames), (text), realisticvision-negative-embedding
Couldn't find network with name ReaLora
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80%|████████ | 20/25 [00:28<00:06, 1.38s/it]
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Decoding latents in cuda:0...
done in 0.98s
Move latents to cpu...
done in 0.02s
0: 640x640 2 faces, 8.2ms
Speed: 3.7ms preprocess, 8.2ms inference, 33.2ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name ReaLora
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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 0.46s
Move latents to cpu...
done in 0.22s
Couldn't find network with name ReaLora
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Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 8 hands, 7.5ms
Speed: 3.3ms preprocess, 7.5ms inference, 2.2ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name ReaLora
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Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
Couldn't find network with name ReaLora
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Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
Couldn't find network with name ReaLora
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100%|██████████| 14/14 [00:04<00:00, 3.27it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
Couldn't find network with name ReaLora
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100%|██████████| 14/14 [00:04<00:00, 3.71it/s]
100%|██████████| 14/14 [00:04<00:00, 3.26it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
Couldn't find network with name ReaLora
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Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
Couldn't find network with name ReaLora
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100%|██████████| 14/14 [00:04<00:00, 3.69it/s]
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Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
Couldn't find network with name ReaLora
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100%|██████████| 14/14 [00:04<00:00, 3.71it/s]
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Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
Couldn't find network with name ReaLora
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100%|██████████| 14/14 [00:04<00:00, 3.70it/s]
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Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 2 faces, 7.8ms
Speed: 3.1ms preprocess, 7.8ms inference, 2.4ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name ReaLora
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100%|██████████| 14/14 [00:04<00:00, 3.71it/s]
100%|██████████| 14/14 [00:04<00:00, 3.26it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
Couldn't find network with name ReaLora
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100%|██████████| 14/14 [00:04<00:00, 3.70it/s]
100%|██████████| 14/14 [00:04<00:00, 3.24it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 7.2ms
Speed: 3.0ms preprocess, 7.2ms inference, 2.4ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name ReaLora
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100%|██████████| 14/14 [00:04<00:00, 3.69it/s]
100%|██████████| 14/14 [00:04<00:00, 3.27it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
Couldn't find network with name ReaLora
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100%|██████████| 14/14 [00:04<00:00, 3.72it/s]
100%|██████████| 14/14 [00:04<00:00, 3.27it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.6ms
Speed: 2.9ms preprocess, 7.6ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name ReaLora
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Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 3 hands, 7.4ms
Speed: 3.0ms preprocess, 7.4ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name ReaLora
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Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
Couldn't find network with name ReaLora
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100%|██████████| 14/14 [00:04<00:00, 3.26it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
Couldn't find network with name ReaLora
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100%|██████████| 14/14 [00:04<00:00, 3.71it/s]
100%|██████████| 14/14 [00:04<00:00, 3.27it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 2 faces, 7.7ms
Speed: 3.2ms preprocess, 7.7ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name ReaLora
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100%|██████████| 14/14 [00:04<00:00, 3.66it/s]
100%|██████████| 14/14 [00:04<00:00, 3.24it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
Couldn't find network with name ReaLora
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100%|██████████| 14/14 [00:04<00:00, 3.70it/s]
100%|██████████| 14/14 [00:04<00:00, 3.26it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 3 hands, 7.7ms
Speed: 3.1ms preprocess, 7.7ms inference, 2.2ms postprocess per image at shape (1, 3, 640, 640)
Couldn't find network with name ReaLora
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100%|██████████| 14/14 [00:04<00:00, 3.74it/s]
100%|██████████| 14/14 [00:04<00:00, 3.27it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
Couldn't find network with name ReaLora
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100%|██████████| 14/14 [00:04<00:00, 3.73it/s]
100%|██████████| 14/14 [00:04<00:00, 3.27it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
Couldn't find network with name ReaLora
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64%|██████▍ | 9/14 [00:02<00:01, 3.14it/s]
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79%|███████▊ | 11/14 [00:03<00:00, 3.16it/s]
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100%|██████████| 14/14 [00:04<00:00, 3.73it/s]
100%|██████████| 14/14 [00:04<00:00, 3.27it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
Finished.