Girls Playing Tennis with Cartoon Madness
Input
prompt
Specify things to see in the output
(8k, RAW photo, ultra high res, best quality, masterpiece:1.2), (realistic illustration), (extremely detailed CG unity 8k wallpaper), dynamic lighting, perfect lighting, 1 woman,beautiful face, (holding a tennis racket), sunny day, large breasts, brown medium hair, smile,delighted, cheerful, gleaming skin, beautiful sky, sunshine, sport bra, white panties, baseball Red cap, white socks, from behind, wearing tennis_outfit, wearing tennis_hat, tennis field, outside, <lora:tennis_outfit:0.5>, glossy skin, shiny skin, volumetric light, <lora:more_details:0.8>, <lora:epiCRealismHelper:1>
negative_prompt
Specify things to not see in the output
nipples, nsfw, nude, High pass filter, airbrush, portrait, zoomed, soft light, deformed, extra limbs, extra fingers, mutated hands, bad anatomy, bad proportions , blind, bad eyes, ugly eyes, dead eyes, blur, vignette, out of shot, out of focus, monochrome, grainy, noisy, text, writing, watermark, logo, oversaturation , over saturation, over shadow,out of frame, obese, odd proportions, asymmetrical,fat,dialog, words, fonts, teeth, ((((ugly)))), (((duplicate))), ((morbid)), b&w, \[out of frame\], ((poorly drawn hands)), ((poorly drawn face)), (((mutation))), blurry, cloned face, (((disfigured))), gross proportions, (malformed limbs), ((missing arms)), ((missing legs)), (((extra arms))), (((extra legs))), (fused fingers), (too many fingers),neon lights, tan lines, wrinkles,armpit hair, lowres, poorly drawn, crippled, crooked, broken, weird, odd, distorted, erased, cut, mutilated, sloppy, hideous, pixelated, aliasing, kid, child, mutated, extra_limb, two heads,children, gross, disgusting, horrible, scary, evil, old, conjoined, morphed, error, glitch, extra digits, signature, jpeg artifacts, low quality, unfinished, cropped, siamese twins, robot eyes, asian, penis, cartoon, manga, (large breasts:1.1), (clothes:1.5), (underwear:1.3), (panties:1.3), (lingerie:1.3), epiCNegative, verybadimagenegative_v1.3, ng_deepnegative_v1_75t
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.
1573927904
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
20
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 58.2 seconds
prompt
Specify things to see in the output
(8k, RAW photo, ultra high res, best quality, masterpiece:1.2), (realistic illustration), (extremely detailed CG unity 8k wallpaper), dynamic lighting, perfect lighting, 1 woman,beautiful face, (holding a tennis racket), sunny day, large breasts, brown medium hair, smile,delighted, cheerful, gleaming skin, beautiful sky, sunshine, sport bra, white panties, baseball Red cap, white socks, from behind, wearing tennis_outfit, wearing tennis_hat, tennis field, outside, <lora:tennis_outfit:0.5>, glossy skin, shiny skin, volumetric light, <lora:more_details:0.8>, <lora:epiCRealismHelper:1>
negative_prompt
Specify things to not see in the output
nipples, nsfw, nude, High pass filter, airbrush, portrait, zoomed, soft light, deformed, extra limbs, extra fingers, mutated hands, bad anatomy, bad proportions , blind, bad eyes, ugly eyes, dead eyes, blur, vignette, out of shot, out of focus, monochrome, grainy, noisy, text, writing, watermark, logo, oversaturation , over saturation, over shadow,out of frame, obese, odd proportions, asymmetrical,fat,dialog, words, fonts, teeth, ((((ugly)))), (((duplicate))), ((morbid)), b&w, \[out of frame\], ((poorly drawn hands)), ((poorly drawn face)), (((mutation))), blurry, cloned face, (((disfigured))), gross proportions, (malformed limbs), ((missing arms)), ((missing legs)), (((extra arms))), (((extra legs))), (fused fingers), (too many fingers),neon lights, tan lines, wrinkles,armpit hair, lowres, poorly drawn, crippled, crooked, broken, weird, odd, distorted, erased, cut, mutilated, sloppy, hideous, pixelated, aliasing, kid, child, mutated, extra_limb, two heads,children, gross, disgusting, horrible, scary, evil, old, conjoined, morphed, error, glitch, extra digits, signature, jpeg artifacts, low quality, unfinished, cropped, siamese twins, robot eyes, asian, penis, cartoon, manga, (large breasts:1.1), (clothes:1.5), (underwear:1.3), (panties:1.3), (lingerie:1.3), epiCNegative, verybadimagenegative_v1.3, ng_deepnegative_v1_75t
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.
1573927904
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
20
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 58.2 seconds