Version: v7.0
Input
prompt *
Specify things to see in the output
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Output
https://files.tungsten.run/uploads/633c69d9184d4d459ea8071aa96de36a/00000-1789569705.webp
https://files.tungsten.run/uploads/6955c8c6cd0c49699536d8b2af8822a3/00001-1789569706.webp
https://files.tungsten.run/uploads/cee40c2faf4a4e6ab03cc8561c3cbf47/00002-1789569707.webp
https://files.tungsten.run/uploads/709fbc3c9a34459eb14d0985470bb1cc/00003-1789569708.webp
This example was created by evevalentine2017
Finished in 158.9 seconds
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
saturation
Adjust saturation
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
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.
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.
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.
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.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
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.
Sign in to run this model for free!
https://files.tungsten.run/uploads/633c69d9184d4d459ea8071aa96de36a/00000-1789569705.webp
https://files.tungsten.run/uploads/6955c8c6cd0c49699536d8b2af8822a3/00001-1789569706.webp
https://files.tungsten.run/uploads/cee40c2faf4a4e6ab03cc8561c3cbf47/00002-1789569707.webp
https://files.tungsten.run/uploads/709fbc3c9a34459eb14d0985470bb1cc/00003-1789569708.webp
This example was created by evevalentine2017
Finished in 158.9 seconds