Version: v1.0
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.
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Output
https://files.tungsten.run/uploads/248ec3f1055f45beb046735338aa531d/00000-3175180988.webp
https://files.tungsten.run/uploads/98b15ec3b72a4079b119c4b38e8f7c5b/00001-3175180989.webp
https://files.tungsten.run/uploads/ecd2295f14da419e95976b038fa2de93/00002-3175180990.webp
This example was created by evevalentine2017
Finished in 66.4 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Masterpiece, best quality, high res, perfect face, anime style, 1girl, woman, (elusive Ratcore:1.3), full body, [:colorful costume design,:0.2], bombshell hair, muted rainbow hair, bombshell bob cut, big breasts, narrow waist, tall, hourglass figure, (muscular legs:0.25), (wide hips), (thick thighs), caucasian, (brightly lit interior, in a Formal convenience store:1.3), <lora:EnvyLineArtSliderXL01:-1>, <lora:EnvyAwesomizeXL01:2>, awesomize, <lora:TLS:0.9> Full negative prompt: dark, saturated, yellow tint, western comics, abstract, nsfw, nipples, kid, child, loli 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:04<00:34, 4.89s/it] 25%|██▌ | 2/8 [00:09<00:26, 4.44s/it] 38%|███▊ | 3/8 [00:13<00:21, 4.27s/it] 50%|█████ | 4/8 [00:17<00:16, 4.22s/it] 62%|██████▎ | 5/8 [00:21<00:12, 4.11s/it] 75%|███████▌ | 6/8 [00:24<00:07, 3.96s/it] 88%|████████▊ | 7/8 [00:27<00:03, 3.58s/it] 100%|██████████| 8/8 [00:28<00:00, 2.73s/it] 100%|██████████| 8/8 [00:28<00:00, 3.57s/it] Decoding latents in cuda:0... done in 1.8s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 165.9ms Speed: 2.6ms preprocess, 165.9ms inference, 16.0ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/4 [00:00<?, ?it/s] 25%|██▌ | 1/4 [00:02<00:06, 2.08s/it] 50%|█████ | 2/4 [00:04<00:03, 1.99s/it] 75%|███████▌ | 3/4 [00:05<00:01, 1.85s/it] 100%|██████████| 4/4 [00:06<00:00, 1.37s/it] 100%|██████████| 4/4 [00:06<00:00, 1.58s/it] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 7.8ms Speed: 2.4ms preprocess, 7.8ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/4 [00:00<?, ?it/s] 25%|██▌ | 1/4 [00:02<00:06, 2.00s/it] 50%|█████ | 2/4 [00:03<00:03, 1.92s/it] 75%|███████▌ | 3/4 [00:05<00:01, 1.76s/it] 100%|██████████| 4/4 [00:06<00:00, 1.32s/it] 100%|██████████| 4/4 [00:06<00:00, 1.52s/it] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.1ms Speed: 2.3ms preprocess, 8.1ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/4 [00:00<?, ?it/s] 25%|██▌ | 1/4 [00:02<00:06, 2.01s/it] 50%|█████ | 2/4 [00:03<00:03, 1.93s/it] 75%|███████▌ | 3/4 [00:05<00:01, 1.78s/it] 100%|██████████| 4/4 [00:06<00:00, 1.33s/it] 100%|██████████| 4/4 [00:06<00:00, 1.53s/it] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 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/248ec3f1055f45beb046735338aa531d/00000-3175180988.webp
https://files.tungsten.run/uploads/98b15ec3b72a4079b119c4b38e8f7c5b/00001-3175180989.webp
https://files.tungsten.run/uploads/ecd2295f14da419e95976b038fa2de93/00002-3175180990.webp
This example was created by evevalentine2017
Finished in 66.4 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Masterpiece, best quality, high res, perfect face, anime style, 1girl, woman, (elusive Ratcore:1.3), full body, [:colorful costume design,:0.2], bombshell hair, muted rainbow hair, bombshell bob cut, big breasts, narrow waist, tall, hourglass figure, (muscular legs:0.25), (wide hips), (thick thighs), caucasian, (brightly lit interior, in a Formal convenience store:1.3), <lora:EnvyLineArtSliderXL01:-1>, <lora:EnvyAwesomizeXL01:2>, awesomize, <lora:TLS:0.9> Full negative prompt: dark, saturated, yellow tint, western comics, abstract, nsfw, nipples, kid, child, loli 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:04<00:34, 4.89s/it] 25%|██▌ | 2/8 [00:09<00:26, 4.44s/it] 38%|███▊ | 3/8 [00:13<00:21, 4.27s/it] 50%|█████ | 4/8 [00:17<00:16, 4.22s/it] 62%|██████▎ | 5/8 [00:21<00:12, 4.11s/it] 75%|███████▌ | 6/8 [00:24<00:07, 3.96s/it] 88%|████████▊ | 7/8 [00:27<00:03, 3.58s/it] 100%|██████████| 8/8 [00:28<00:00, 2.73s/it] 100%|██████████| 8/8 [00:28<00:00, 3.57s/it] Decoding latents in cuda:0... done in 1.8s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 165.9ms Speed: 2.6ms preprocess, 165.9ms inference, 16.0ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/4 [00:00<?, ?it/s] 25%|██▌ | 1/4 [00:02<00:06, 2.08s/it] 50%|█████ | 2/4 [00:04<00:03, 1.99s/it] 75%|███████▌ | 3/4 [00:05<00:01, 1.85s/it] 100%|██████████| 4/4 [00:06<00:00, 1.37s/it] 100%|██████████| 4/4 [00:06<00:00, 1.58s/it] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 7.8ms Speed: 2.4ms preprocess, 7.8ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/4 [00:00<?, ?it/s] 25%|██▌ | 1/4 [00:02<00:06, 2.00s/it] 50%|█████ | 2/4 [00:03<00:03, 1.92s/it] 75%|███████▌ | 3/4 [00:05<00:01, 1.76s/it] 100%|██████████| 4/4 [00:06<00:00, 1.32s/it] 100%|██████████| 4/4 [00:06<00:00, 1.52s/it] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.1ms Speed: 2.3ms preprocess, 8.1ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/4 [00:00<?, ?it/s] 25%|██▌ | 1/4 [00:02<00:06, 2.01s/it] 50%|█████ | 2/4 [00:03<00:03, 1.93s/it] 75%|███████▌ | 3/4 [00:05<00:01, 1.78s/it] 100%|██████████| 4/4 [00:06<00:00, 1.33s/it] 100%|██████████| 4/4 [00:06<00:00, 1.53s/it] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s Uploading outputs... Finished.