Girls in the Snow with Noosphere
Input
prompt
Specify things to see in the output
(masterpiece:1.4), (intricate:1.2), (detailed:1.2), (vibrant colors:1.2), (fantasy:1.2), (blue and white:1.3), (dynamic pose:1.2), (from below:1.0), (elven priestess:1.4), (solo:1.4), (beautiful:1.2), (dainty:1.2), (white robe:1.2), (long white hair:1.2), (dancing:1.3), (smiling:1.2), (windy:1.2), (barefoot:1.0), (glowing blue eyes:1.2), (outside:1.2), (starry night:1.2), (enchanted forest:1.2), (snow:1.4), (ice:1.2), (blue glowing butterflies:1.2), <lora:绪儿- 夜蝶cinematic sets:0.8>
negative_prompt
Specify things to not see in the output
(worst quality, low quality, normal quality:2), lowres, normal quality, split_screen, framed border, childlike paintings, bad lighting, sketches, bad anatomy, bad hands, (monochrome), (grayscale), EasyNegativeV2, bad-hands-5, ng_deepnegative_v1_75t
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
num_outputs
Number of output images
4
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
869288612
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 Karras
samping_steps
Number of denoising steps
28
cfg_scale
Scale for classifier-free guidance
7.5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
None
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 56.8 seconds
prompt
Specify things to see in the output
(masterpiece:1.4), (intricate:1.2), (detailed:1.2), (vibrant colors:1.2), (fantasy:1.2), (blue and white:1.3), (dynamic pose:1.2), (from below:1.0), (elven priestess:1.4), (solo:1.4), (beautiful:1.2), (dainty:1.2), (white robe:1.2), (long white hair:1.2), (dancing:1.3), (smiling:1.2), (windy:1.2), (barefoot:1.0), (glowing blue eyes:1.2), (outside:1.2), (starry night:1.2), (enchanted forest:1.2), (snow:1.4), (ice:1.2), (blue glowing butterflies:1.2), <lora:绪儿- 夜蝶cinematic sets:0.8>
negative_prompt
Specify things to not see in the output
(worst quality, low quality, normal quality:2), lowres, normal quality, split_screen, framed border, childlike paintings, bad lighting, sketches, bad anatomy, bad hands, (monochrome), (grayscale), EasyNegativeV2, bad-hands-5, ng_deepnegative_v1_75t
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
num_outputs
Number of output images
4
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
869288612
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 Karras
samping_steps
Number of denoising steps
28
cfg_scale
Scale for classifier-free guidance
7.5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
None
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 56.8 seconds