Demons with Smooth Blend
Input
prompt
Specify things to see in the output
(clothed, masterpiece, wide angle, cinematic establishing shot, female, black skin, (red shiny eyes), dark demon, (black horns), highly detailed background:1.2), volumetric lighting, subsurface scattering, dynamic pose, (special effects, color grading, fantasy aura), (Infernal Demon:1.4), Centered in a fiery hellscape, dramatic lighting, fearsome stance, glossy skin, volumetric light, <lora:FaceBeauty_qinglong_V3:1.5>, <lora:more_details:0.7>
negative_prompt
Specify things to not see in the output
portrait, close-up, focus on face, nipples, ng_deepnegative_v1_75t, EasyNegativeV2, 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
0.8
brightness
Adjust brightness
0
contrast
Adjust contrast
-0.48
saturation
Adjust saturation
-0.2
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2140431947
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
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
vae-ft-mse-840000-ema-pruned_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 125.6 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors
Full prompt: (clothed, masterpiece, wide angle, cinematic establishing shot, female, black skin, (red shiny eyes), dark demon, (black horns), highly detailed background:1.2), volumetric lighting, subsurface scattering, dynamic pose, (special effects, color grading, fantasy aura), (Infernal Demon:1.4), Centered in a fiery hellscape, dramatic lighting, fearsome stance, glossy skin, volumetric light, <lora:FaceBeauty_qinglong_V3:1.5>, <lora:more_details:0.7>, <lora:add_detail:0.8>, <lora:contrast_slider_v10:-0.48>, <lora:add_saturation:-0.2>
Full negative prompt: portrait, close-up, focus on face, nipples, ng_deepnegative_v1_75t, EasyNegativeV2, realisticvision-negative-embedding
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0: 640x640 1 face, 8.2ms
Speed: 3.7ms preprocess, 8.2ms inference, 36.4ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 2 hands, 7.5ms
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0: 640x640 1 face, 7.7ms
Speed: 3.2ms preprocess, 7.7ms inference, 2.3ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 4 hands, 7.7ms
Speed: 3.1ms preprocess, 7.7ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 8.2ms
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0: 640x640 2 hands, 7.6ms
Speed: 3.0ms preprocess, 7.6ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
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Uploading outputs...
Finished.
prompt
Specify things to see in the output
(clothed, masterpiece, wide angle, cinematic establishing shot, female, black skin, (red shiny eyes), dark demon, (black horns), highly detailed background:1.2), volumetric lighting, subsurface scattering, dynamic pose, (special effects, color grading, fantasy aura), (Infernal Demon:1.4), Centered in a fiery hellscape, dramatic lighting, fearsome stance, glossy skin, volumetric light, <lora:FaceBeauty_qinglong_V3:1.5>, <lora:more_details:0.7>
negative_prompt
Specify things to not see in the output
portrait, close-up, focus on face, nipples, ng_deepnegative_v1_75t, EasyNegativeV2, 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
0.8
brightness
Adjust brightness
0
contrast
Adjust contrast
-0.48
saturation
Adjust saturation
-0.2
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2140431947
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
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
vae-ft-mse-840000-ema-pruned_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 125.6 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors
Full prompt: (clothed, masterpiece, wide angle, cinematic establishing shot, female, black skin, (red shiny eyes), dark demon, (black horns), highly detailed background:1.2), volumetric lighting, subsurface scattering, dynamic pose, (special effects, color grading, fantasy aura), (Infernal Demon:1.4), Centered in a fiery hellscape, dramatic lighting, fearsome stance, glossy skin, volumetric light, <lora:FaceBeauty_qinglong_V3:1.5>, <lora:more_details:0.7>, <lora:add_detail:0.8>, <lora:contrast_slider_v10:-0.48>, <lora:add_saturation:-0.2>
Full negative prompt: portrait, close-up, focus on face, nipples, ng_deepnegative_v1_75t, EasyNegativeV2, realisticvision-negative-embedding
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100%|██████████| 40/40 [00:25<00:00, 1.61it/s]
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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, 8.2ms
Speed: 3.7ms preprocess, 8.2ms inference, 36.4ms 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 0.01s
0: 640x640 2 hands, 7.5ms
Speed: 3.5ms preprocess, 7.5ms inference, 2.6ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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48%|████▊ | 11/23 [00:02<00:02, 4.69it/s]
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61%|██████ | 14/23 [00:03<00:01, 4.67it/s]
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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, 8.0ms
Speed: 3.2ms preprocess, 8.0ms inference, 2.3ms postprocess per image at shape (1, 3, 640, 640)
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100%|██████████| 23/23 [00:05<00:00, 4.54it/s]
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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, 7.8ms
Speed: 3.4ms preprocess, 7.8ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640)
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61%|██████ | 14/23 [00:03<00:01, 4.64it/s]
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100%|██████████| 23/23 [00:04<00:00, 4.64it/s]
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Decoding latents in cuda:0...
done in 0.22s
Move latents to cpu...
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48%|████▊ | 11/23 [00:02<00:02, 4.51it/s]
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65%|██████▌ | 15/23 [00:03<00:01, 4.54it/s]
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100%|██████████| 23/23 [00:05<00:00, 4.66it/s]
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
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43%|████▎ | 10/23 [00:02<00:02, 4.61it/s]
48%|████▊ | 11/23 [00:02<00:02, 4.63it/s]
52%|█████▏ | 12/23 [00:02<00:02, 4.64it/s]
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61%|██████ | 14/23 [00:03<00:01, 4.55it/s]
65%|██████▌ | 15/23 [00:03<00:01, 4.37it/s]
70%|██████▉ | 16/23 [00:03<00:01, 4.41it/s]
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100%|██████████| 23/23 [00:05<00:00, 4.45it/s]
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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, 7.7ms
Speed: 3.2ms preprocess, 7.7ms inference, 2.3ms postprocess per image at shape (1, 3, 640, 640)
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61%|██████ | 14/23 [00:03<00:02, 4.49it/s]
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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
0: 640x640 4 hands, 7.7ms
Speed: 3.1ms 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...
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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, 8.2ms
Speed: 3.6ms preprocess, 8.2ms inference, 2.5ms 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 2 hands, 7.6ms
Speed: 3.0ms preprocess, 7.6ms 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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Decoding latents in cuda:0...
done in 0.23s
Move latents to cpu...
done in 0.0s
Uploading outputs...
Finished.