White / Gold Gowns with 3DReal 3DRealistic
Input
prompt
Specify things to see in the output
full body shot, masterpiece, best quality, insanely detailed, <lora:IvoryGoldAIv2:.9>, IvoryGoldAI, 1woman, smiling, <lora:add_detail:0.8>
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
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0.1
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
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 201.5 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: full body shot, masterpiece, best quality, insanely detailed, <lora:IvoryGoldAIv2:.9>, IvoryGoldAI, 1woman, smiling, (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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0: 640x640 1 face, 7.6ms
Speed: 2.9ms preprocess, 7.6ms inference, 22.9ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 hand, 7.1ms
Speed: 3.0ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 7.2ms
Speed: 2.5ms preprocess, 7.2ms inference, 1.3ms 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.
===========================================
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0: 640x640 1 face, 7.2ms
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Decoding latents in cuda:0...
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0: 640x640 2 hands, 7.1ms
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Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
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0: 640x640 1 face, 7.4ms
Speed: 2.9ms 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 0.41s
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 0.4s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.
prompt
Specify things to see in the output
full body shot, masterpiece, best quality, insanely detailed, <lora:IvoryGoldAIv2:.9>, IvoryGoldAI, 1woman, smiling, <lora:add_detail:0.8>
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
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0.1
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
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 201.5 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: full body shot, masterpiece, best quality, insanely detailed, <lora:IvoryGoldAIv2:.9>, IvoryGoldAI, 1woman, smiling, (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 1.0s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.6ms
Speed: 2.9ms preprocess, 7.6ms inference, 22.9ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 7.1ms
Speed: 3.0ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.2ms
Speed: 2.5ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 2 hands, 8.1ms
Speed: 2.8ms preprocess, 8.1ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
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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 0.44s
Move latents to cpu...
done in 0.23s
0: 640x640 1 face, 7.2ms
Speed: 2.6ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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100%|██████████| 28/28 [00:09<00:00, 4.07it/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 hands, 7.1ms
Speed: 2.6ms preprocess, 7.1ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640)
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100%|██████████| 28/28 [00:09<00:00, 4.07it/s]
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Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
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29%|██▊ | 8/28 [00:03<00:08, 2.43it/s]
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36%|███▌ | 10/28 [00:03<00:06, 2.64it/s]
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43%|████▎ | 12/28 [00:04<00:06, 2.66it/s]
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50%|█████ | 14/28 [00:05<00:05, 2.78it/s]
54%|█████▎ | 15/28 [00:05<00:04, 2.90it/s]
57%|█████▋ | 16/28 [00:05<00:04, 2.93it/s]
61%|██████ | 17/28 [00:06<00:03, 2.80it/s]
64%|██████▍ | 18/28 [00:06<00:03, 2.84it/s]
68%|██████▊ | 19/28 [00:07<00:03, 2.71it/s]
71%|███████▏ | 20/28 [00:07<00:02, 2.79it/s]
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79%|███████▊ | 22/28 [00:08<00:02, 2.70it/s]
82%|████████▏ | 23/28 [00:08<00:01, 2.75it/s]
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100%|██████████| 28/28 [00:09<00:00, 4.07it/s]
100%|██████████| 28/28 [00:09<00:00, 2.85it/s]
Decoding latents in cuda:0...
done in 0.41s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.4ms
Speed: 2.9ms preprocess, 7.4ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640)
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29%|██▊ | 8/28 [00:03<00:08, 2.44it/s]
32%|███▏ | 9/28 [00:03<00:07, 2.55it/s]
36%|███▌ | 10/28 [00:03<00:06, 2.62it/s]
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57%|█████▋ | 16/28 [00:05<00:04, 2.91it/s]
61%|██████ | 17/28 [00:06<00:03, 2.78it/s]
64%|██████▍ | 18/28 [00:06<00:03, 2.81it/s]
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100%|██████████| 28/28 [00:09<00:00, 4.03it/s]
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Decoding latents in cuda:0...
done in 0.41s
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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100%|██████████| 28/28 [00:09<00:00, 4.04it/s]
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Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.