Version: v0.2
Input
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
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!
Output
https://files.tungsten.run/uploads/b62c439989f8464ab257c01433767e9f/00000-3382015329.webp
https://files.tungsten.run/uploads/5cf723e1c92040f183322209121f08dd/00001-3382015330.webp
https://files.tungsten.run/uploads/204201bdba07467d806d319cbf946aac/00002-3382015331.webp
This example was created by sparks
Finished in 39.1 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Descending from the crystalline stairs of an ice castle stands an enchanting 18yo girl sculpted from shimmering ice a breathtaking embodiment of frozen beauty. Her figure, meticulously carved, exudes an ethereal allure, radiating a serene charm akin to the winter's delicate grace. Each detail, intricately chiseled, captures the ephemeral essence of youth, her ice-formed features reflecting a captivating elegance. As she descends the icy steps, the translucent beauty of the frozen maiden harmonizes with the glistening grandeur of the castle's frozen halls, weaving a tale of enchantment in the heart of a glacial realm., <lora:add-detail-xl:1.5> Full negative prompt: nsfw 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:07<00:29, 7.27s/it] 40%|████ | 2/5 [00:15<00:23, 7.82s/it] 60%|██████ | 3/5 [00:23<00:15, 7.88s/it] 80%|████████ | 4/5 [00:29<00:06, 6.98s/it] 100%|██████████| 5/5 [00:31<00:00, 5.18s/it] 100%|██████████| 5/5 [00:31<00:00, 6.20s/it] Decoding latents in cuda:0... done in 3.4s Move latents to cpu... done in 0.04s Uploading outputs... Finished.
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
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/b62c439989f8464ab257c01433767e9f/00000-3382015329.webp
https://files.tungsten.run/uploads/5cf723e1c92040f183322209121f08dd/00001-3382015330.webp
https://files.tungsten.run/uploads/204201bdba07467d806d319cbf946aac/00002-3382015331.webp
This example was created by sparks
Finished in 39.1 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Descending from the crystalline stairs of an ice castle stands an enchanting 18yo girl sculpted from shimmering ice a breathtaking embodiment of frozen beauty. Her figure, meticulously carved, exudes an ethereal allure, radiating a serene charm akin to the winter's delicate grace. Each detail, intricately chiseled, captures the ephemeral essence of youth, her ice-formed features reflecting a captivating elegance. As she descends the icy steps, the translucent beauty of the frozen maiden harmonizes with the glistening grandeur of the castle's frozen halls, weaving a tale of enchantment in the heart of a glacial realm., <lora:add-detail-xl:1.5> Full negative prompt: nsfw 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:07<00:29, 7.27s/it] 40%|████ | 2/5 [00:15<00:23, 7.82s/it] 60%|██████ | 3/5 [00:23<00:15, 7.88s/it] 80%|████████ | 4/5 [00:29<00:06, 6.98s/it] 100%|██████████| 5/5 [00:31<00:00, 5.18s/it] 100%|██████████| 5/5 [00:31<00:00, 6.20s/it] Decoding latents in cuda:0... done in 3.4s Move latents to cpu... done in 0.04s Uploading outputs... Finished.