Fire Power with GponA PreReal
Input
prompt
Specify things to see in the output
(1 milf: 1.4), (solo), (wide hips:0.5), (deep skin: 1.2), hair with volume, traces of sunburn, best quality, ultra quality, high quality, ultra highres, absurdres, 4k, 8k, 16k, super fine illustration, foreshortening, black_leather_outfit, belts, shiny_leather, long_hair, black_hair, black_high_boots, fire magic, fightning, streets background, blush, fingernails, 2 legs only, shiny skin, glossy skin, volumetric lightning, cinematic light, soft shadows, <lora:epiCRealismHelper:1>
negative_prompt
Specify things to not see in the output
(more than arms), ((more than 2 legs:1.5)), (more than 2 shoes:1), (bad-picture-chill-32v:1), (EasyNegativeV2:1), (bad-hands-5:1), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, ((monochrome)), ((grayscale)) watermark, moles
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
0.45
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.
2448185914
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
8.5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
kl-f8-anime2_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 180.1 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors
Full prompt: (1 milf: 1.4), (solo), (wide hips:0.5), (deep skin: 1.2), hair with volume, traces of sunburn, best quality, ultra quality, high quality, ultra highres, absurdres, 4k, 8k, 16k, super fine illustration, foreshortening, black_leather_outfit, belts, shiny_leather, long_hair, black_hair, black_high_boots, fire magic, fightning, streets background, blush, fingernails, 2 legs only, shiny skin, glossy skin, volumetric lightning, cinematic light, soft shadows, <lora:epiCRealismHelper:1>
Full negative prompt: (more than arms), ((more than 2 legs:1.5)), (more than 2 shoes:1), (bad-picture-chill-32v:1), (EasyNegativeV2:1), (bad-hands-5:1), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, ((monochrome)), ((grayscale)) watermark, moles
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0: 640x640 2 faces, 7.7ms
Speed: 2.8ms preprocess, 7.7ms inference, 31.4ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 face, 7.5ms
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0: 640x640 2 hands, 7.2ms
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Decoding latents in cuda:0...
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0: 640x640 13 faces, 7.4ms
Speed: 2.6ms preprocess, 7.4ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 1 hand, 7.6ms
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Uploading outputs...
Finished.
prompt
Specify things to see in the output
(1 milf: 1.4), (solo), (wide hips:0.5), (deep skin: 1.2), hair with volume, traces of sunburn, best quality, ultra quality, high quality, ultra highres, absurdres, 4k, 8k, 16k, super fine illustration, foreshortening, black_leather_outfit, belts, shiny_leather, long_hair, black_hair, black_high_boots, fire magic, fightning, streets background, blush, fingernails, 2 legs only, shiny skin, glossy skin, volumetric lightning, cinematic light, soft shadows, <lora:epiCRealismHelper:1>
negative_prompt
Specify things to not see in the output
(more than arms), ((more than 2 legs:1.5)), (more than 2 shoes:1), (bad-picture-chill-32v:1), (EasyNegativeV2:1), (bad-hands-5:1), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, ((monochrome)), ((grayscale)) watermark, moles
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
0.45
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.
2448185914
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
8.5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
kl-f8-anime2_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 180.1 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors
Full prompt: (1 milf: 1.4), (solo), (wide hips:0.5), (deep skin: 1.2), hair with volume, traces of sunburn, best quality, ultra quality, high quality, ultra highres, absurdres, 4k, 8k, 16k, super fine illustration, foreshortening, black_leather_outfit, belts, shiny_leather, long_hair, black_hair, black_high_boots, fire magic, fightning, streets background, blush, fingernails, 2 legs only, shiny skin, glossy skin, volumetric lightning, cinematic light, soft shadows, <lora:epiCRealismHelper:1>
Full negative prompt: (more than arms), ((more than 2 legs:1.5)), (more than 2 shoes:1), (bad-picture-chill-32v:1), (EasyNegativeV2:1), (bad-hands-5:1), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, ((monochrome)), ((grayscale)) watermark, moles
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0: 640x640 2 faces, 7.7ms
Speed: 2.8ms preprocess, 7.7ms inference, 31.4ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 4 hands, 7.3ms
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0: 640x640 1 face, 7.5ms
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0: 640x640 2 hands, 7.2ms
Speed: 2.7ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 13 faces, 7.4ms
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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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Decoding latents in cuda:0...
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Decoding latents in cuda:0...
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100%|██████████| 19/19 [00:03<00:00, 4.69it/s]
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Decoding latents in cuda:0...
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0: 640x640 2 hands, 7.1ms
Speed: 2.8ms preprocess, 7.1ms inference, 1.6ms 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 7 faces, 7.4ms
Speed: 2.7ms preprocess, 7.4ms inference, 1.6ms 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, 7.6ms
Speed: 2.7ms preprocess, 7.6ms 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
Uploading outputs...
Finished.