Tees with Comic Mix
Input
prompt
Specify things to see in the output
comic artwork of a girl, smiling, happy, t-shirt, city background, freckles, epic, dynamic shadows, cinematic lighting, masterpiece, best quality, 2D, Sharp, Detailed, HD, HDR, High Quality, High Resolution, Masterpiece, <lora:FaceBeauty_qinglong_V3:1>
negative_prompt
Specify things to not see in the output
nude, sexy, nsfw, young, child, full body, revealing, cleavage, GS-DeFeminize-neg, Anime, Manga, 3D, Render, Painting, Photo, RAW, Cartoon, Animated, muted colors, (monochrome:1.1), (greyscale:1.1), (black and white:1.1), Blurry, Low Quality, Low Resolution, Pixel, Deformed, Simple, noisy, verybadimagenegative_v1.3, Beyondv4-neg, antiBlurV2,
colorize
Colorize
0.2
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
0.25
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.
973009560
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
Euler a
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
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
![https://files.tungsten.run/uploads/65b2513dd99441a0825f139fbb299820/00000-973009560.webp](https://files.tungsten.run/uploads/65b2513dd99441a0825f139fbb299820/00000-973009560.webp)
![https://files.tungsten.run/uploads/7988bd7299df4cd19fa9036f5a3d792f/00001-973009561.webp](https://files.tungsten.run/uploads/7988bd7299df4cd19fa9036f5a3d792f/00001-973009561.webp)
![https://files.tungsten.run/uploads/4b690dd243f44f6d856c06f2270a9575/00002-973009562.webp](https://files.tungsten.run/uploads/4b690dd243f44f6d856c06f2270a9575/00002-973009562.webp)
![https://files.tungsten.run/uploads/1802308a95044bcb99613c0b0d70d30e/00003-973009563.webp](https://files.tungsten.run/uploads/1802308a95044bcb99613c0b0d70d30e/00003-973009563.webp)
Finished in 59.8 seconds
prompt
Specify things to see in the output
comic artwork of a girl, smiling, happy, t-shirt, city background, freckles, epic, dynamic shadows, cinematic lighting, masterpiece, best quality, 2D, Sharp, Detailed, HD, HDR, High Quality, High Resolution, Masterpiece, <lora:FaceBeauty_qinglong_V3:1>
negative_prompt
Specify things to not see in the output
nude, sexy, nsfw, young, child, full body, revealing, cleavage, GS-DeFeminize-neg, Anime, Manga, 3D, Render, Painting, Photo, RAW, Cartoon, Animated, muted colors, (monochrome:1.1), (greyscale:1.1), (black and white:1.1), Blurry, Low Quality, Low Resolution, Pixel, Deformed, Simple, noisy, verybadimagenegative_v1.3, Beyondv4-neg, antiBlurV2,
colorize
Colorize
0.2
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
0.25
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.
973009560
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
Euler a
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
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
![https://files.tungsten.run/uploads/65b2513dd99441a0825f139fbb299820/00000-973009560.webp](https://files.tungsten.run/uploads/65b2513dd99441a0825f139fbb299820/00000-973009560.webp)
![https://files.tungsten.run/uploads/7988bd7299df4cd19fa9036f5a3d792f/00001-973009561.webp](https://files.tungsten.run/uploads/7988bd7299df4cd19fa9036f5a3d792f/00001-973009561.webp)
![https://files.tungsten.run/uploads/4b690dd243f44f6d856c06f2270a9575/00002-973009562.webp](https://files.tungsten.run/uploads/4b690dd243f44f6d856c06f2270a9575/00002-973009562.webp)
![https://files.tungsten.run/uploads/1802308a95044bcb99613c0b0d70d30e/00003-973009563.webp](https://files.tungsten.run/uploads/1802308a95044bcb99613c0b0d70d30e/00003-973009563.webp)
Finished in 59.8 seconds