Jackets with Fantastic Chix HR
Input
prompt
Specify things to see in the output
(masterpiece, best quality:1.4), (beautiful, aesthetic, perfect, delicate, intricate:1.2), (cute, adorable), (depth of field:1.2), (1girl, solo), colorful, vivid colors, moody, mood lighting, cinematic, (dark skin, black skin, ebony:1.4), perfect female form, perfect face, glossy pink lips, expressive eyes, eyeshadow, eyeliner, short messy white hair, huge natural breasts, (sexy punk girl), (jeans jacket), (at a club, nightclub),
negative_prompt
Specify things to not see in the output
EasyNegativeV2, By bad artist -neg, bad_prompt_version2-neg, (low quality, worst quality:1.4), (monochrome, grayscale, sketch:1.2), (logo, signature, text, words, username, artist name, watermark), 3d max, grotesque, desaturated, cartoon, halftone print, zombie, overexposure, bad anatomy, (loli:1.2), chibi, mask
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
false
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.
3815374195
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 SDE Karras
samping_steps
Number of denoising steps
40
cfg_scale
Scale for classifier-free guidance
8
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 279.6 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (masterpiece, best quality:1.4), (beautiful, aesthetic, perfect, delicate, intricate:1.2), (cute, adorable), (depth of field:1.2), (1girl, solo), colorful, vivid colors, moody, mood lighting, cinematic, (dark skin, black skin, ebony:1.4), perfect female form, perfect face, glossy pink lips, expressive eyes, eyeshadow, eyeliner, short messy white hair, huge natural breasts, (sexy punk girl), (jeans jacket), (at a club, nightclub),
Full negative prompt: EasyNegativeV2, By bad artist -neg, bad_prompt_version2-neg, (low quality, worst quality:1.4), (monochrome, grayscale, sketch:1.2), (logo, signature, text, words, username, artist name, watermark), 3d max, grotesque, desaturated, cartoon, halftone print, zombie, overexposure, bad anatomy, (loli:1.2), chibi, mask
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0: 640x640 4 faces, 7.8ms
Speed: 3.7ms preprocess, 7.8ms inference, 24.9ms 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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Decoding latents in cuda:0...
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0: 640x640 9 faces, 7.8ms
Speed: 3.3ms preprocess, 7.8ms inference, 3.1ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 4 faces, 7.4ms
Speed: 3.1ms preprocess, 7.4ms 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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Finished.
prompt
Specify things to see in the output
(masterpiece, best quality:1.4), (beautiful, aesthetic, perfect, delicate, intricate:1.2), (cute, adorable), (depth of field:1.2), (1girl, solo), colorful, vivid colors, moody, mood lighting, cinematic, (dark skin, black skin, ebony:1.4), perfect female form, perfect face, glossy pink lips, expressive eyes, eyeshadow, eyeliner, short messy white hair, huge natural breasts, (sexy punk girl), (jeans jacket), (at a club, nightclub),
negative_prompt
Specify things to not see in the output
EasyNegativeV2, By bad artist -neg, bad_prompt_version2-neg, (low quality, worst quality:1.4), (monochrome, grayscale, sketch:1.2), (logo, signature, text, words, username, artist name, watermark), 3d max, grotesque, desaturated, cartoon, halftone print, zombie, overexposure, bad anatomy, (loli:1.2), chibi, mask
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
false
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.
3815374195
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 SDE Karras
samping_steps
Number of denoising steps
40
cfg_scale
Scale for classifier-free guidance
8
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 279.6 seconds
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: (masterpiece, best quality:1.4), (beautiful, aesthetic, perfect, delicate, intricate:1.2), (cute, adorable), (depth of field:1.2), (1girl, solo), colorful, vivid colors, moody, mood lighting, cinematic, (dark skin, black skin, ebony:1.4), perfect female form, perfect face, glossy pink lips, expressive eyes, eyeshadow, eyeliner, short messy white hair, huge natural breasts, (sexy punk girl), (jeans jacket), (at a club, nightclub),
Full negative prompt: EasyNegativeV2, By bad artist -neg, bad_prompt_version2-neg, (low quality, worst quality:1.4), (monochrome, grayscale, sketch:1.2), (logo, signature, text, words, username, artist name, watermark), 3d max, grotesque, desaturated, cartoon, halftone print, zombie, overexposure, bad anatomy, (loli:1.2), chibi, mask
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Decoding latents in cuda:0...
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Move latents to cpu...
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0: 640x640 4 faces, 7.8ms
Speed: 3.7ms preprocess, 7.8ms inference, 24.9ms 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.
===========================================
done in 0.43s
Move latents to cpu...
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Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
0: 640x640 5 faces, 7.5ms
Speed: 3.4ms 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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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...
done in 0.4s
Move latents to cpu...
done in 0.0s
0: 640x640 9 faces, 7.8ms
Speed: 3.3ms preprocess, 7.8ms inference, 3.1ms 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...
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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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Move latents to cpu...
done in 0.0s
0: 640x640 4 faces, 7.4ms
Speed: 3.1ms preprocess, 7.4ms 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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Decoding latents in cuda:0...
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Decoding latents in cuda:0...
done in 0.4s
Move latents to cpu...
done in 0.0s
Finished.