Chinese Folk Art with Picx Real
Input
prompt
Specify things to see in the output
diorama, abstraction vintage chinese folk art, solo, a cute little girl, kimono, green hair, elf ears, old tree, river, wooden bridge, mountain, meditation, birds, 2d, muted colors, thick hatching, paper texture, <lora:more_details:0.7>, <lora:color_slider_v10:1.5>
negative_prompt
Specify things to not see in the output
((portrait:2)), ((mouth:2)), ((lips:2)), ((lipstick:2)), ((focus on face:2)), (focus on ass), nsfw, nipples, breasts, (CyberRealistic_Negative-neg:0.8), (headgear:1.2), mature, curvy, big tits, panties, shorts, painting, drawing, illustration, glitch, deformed, mutated, cross-eyed, ugly, disfigured, ugly, large breasts, out of focus, blur, blurry, low details, normal quality, bad quality, low quality, Wart , Rash , Boil , Cyst , worms, ugly, disgusting, unrealistic, watermark, logo, cartoon, anime, manga, illustration, painting, 3d, bad anatomy, worst quality, low quality, low resolution, extra fingers, wrong proportions, watermark, image artifacts, lowres, ugly, jpeg artifacts, deformed, noisy image, ng_deepnegative_v1_75t, 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
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0.5
contrast
Adjust contrast
-1.36
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3550611451
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++ 3M SDE Exponential
samping_steps
Number of denoising steps
24
cfg_scale
Scale for classifier-free guidance
4.1
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 76.8 seconds
prompt
Specify things to see in the output
diorama, abstraction vintage chinese folk art, solo, a cute little girl, kimono, green hair, elf ears, old tree, river, wooden bridge, mountain, meditation, birds, 2d, muted colors, thick hatching, paper texture, <lora:more_details:0.7>, <lora:color_slider_v10:1.5>
negative_prompt
Specify things to not see in the output
((portrait:2)), ((mouth:2)), ((lips:2)), ((lipstick:2)), ((focus on face:2)), (focus on ass), nsfw, nipples, breasts, (CyberRealistic_Negative-neg:0.8), (headgear:1.2), mature, curvy, big tits, panties, shorts, painting, drawing, illustration, glitch, deformed, mutated, cross-eyed, ugly, disfigured, ugly, large breasts, out of focus, blur, blurry, low details, normal quality, bad quality, low quality, Wart , Rash , Boil , Cyst , worms, ugly, disgusting, unrealistic, watermark, logo, cartoon, anime, manga, illustration, painting, 3d, bad anatomy, worst quality, low quality, low resolution, extra fingers, wrong proportions, watermark, image artifacts, lowres, ugly, jpeg artifacts, deformed, noisy image, ng_deepnegative_v1_75t, 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
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0.5
contrast
Adjust contrast
-1.36
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3550611451
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++ 3M SDE Exponential
samping_steps
Number of denoising steps
24
cfg_scale
Scale for classifier-free guidance
4.1
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 76.8 seconds