Version: v3.0
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.
Sign in to run this model for free!
Output
https://files.tungsten.run/uploads/6d0b61a532a244bbbc81fa53d15907af/00000-3076732116.webp
https://files.tungsten.run/uploads/7589e4afd5b24343999fe7768297ec61/00001-3076732117.webp
https://files.tungsten.run/uploads/1bfcf311047a460b9d53f3a7f1a1c955/00002-3076732118.webp
This example was created by evevalentine2017
Finished in 41.9 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: best quality, best resolution, realistic, detaileded, the lady knight under the stars, glowing sword in hand, metallic reflections, total solar eclipse, low cloud, Full negative prompt: nsfw, nipples, 3 legs 0%| | 0/6 [00:00<?, ?it/s] 17%|█▋ | 1/6 [00:03<00:15, 3.09s/it] 33%|███▎ | 2/6 [00:07<00:15, 3.75s/it] 50%|█████ | 3/6 [00:11<00:11, 3.87s/it] 67%|██████▋ | 4/6 [00:15<00:07, 3.90s/it] 83%|████████▎ | 5/6 [00:18<00:03, 3.55s/it] 100%|██████████| 6/6 [00:19<00:00, 2.67s/it] 100%|██████████| 6/6 [00:19<00:00, 3.19s/it] Decoding latents in cuda:0... done in 1.74s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 161.8ms Speed: 2.8ms preprocess, 161.8ms inference, 19.6ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.56s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.24s/it] 100%|██████████| 3/3 [00:02<00:00, 1.19it/s] 100%|██████████| 3/3 [00:02<00:00, 1.02it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.1ms Speed: 2.5ms preprocess, 8.1ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:02, 1.44s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.20s/it] 100%|██████████| 3/3 [00:02<00:00, 1.20it/s] 100%|██████████| 3/3 [00:02<00:00, 1.04it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.7ms Speed: 2.5ms preprocess, 8.7ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:02, 1.42s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.19s/it] 100%|██████████| 3/3 [00:02<00:00, 1.24it/s] 100%|██████████| 3/3 [00:02<00:00, 1.07it/s] Decoding latents in cuda:0... done in 0.58s 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/6d0b61a532a244bbbc81fa53d15907af/00000-3076732116.webp
https://files.tungsten.run/uploads/7589e4afd5b24343999fe7768297ec61/00001-3076732117.webp
https://files.tungsten.run/uploads/1bfcf311047a460b9d53f3a7f1a1c955/00002-3076732118.webp
This example was created by evevalentine2017
Finished in 41.9 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: best quality, best resolution, realistic, detaileded, the lady knight under the stars, glowing sword in hand, metallic reflections, total solar eclipse, low cloud, Full negative prompt: nsfw, nipples, 3 legs 0%| | 0/6 [00:00<?, ?it/s] 17%|█▋ | 1/6 [00:03<00:15, 3.09s/it] 33%|███▎ | 2/6 [00:07<00:15, 3.75s/it] 50%|█████ | 3/6 [00:11<00:11, 3.87s/it] 67%|██████▋ | 4/6 [00:15<00:07, 3.90s/it] 83%|████████▎ | 5/6 [00:18<00:03, 3.55s/it] 100%|██████████| 6/6 [00:19<00:00, 2.67s/it] 100%|██████████| 6/6 [00:19<00:00, 3.19s/it] Decoding latents in cuda:0... done in 1.74s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 161.8ms Speed: 2.8ms preprocess, 161.8ms inference, 19.6ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.56s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.24s/it] 100%|██████████| 3/3 [00:02<00:00, 1.19it/s] 100%|██████████| 3/3 [00:02<00:00, 1.02it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.1ms Speed: 2.5ms preprocess, 8.1ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:02, 1.44s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.20s/it] 100%|██████████| 3/3 [00:02<00:00, 1.20it/s] 100%|██████████| 3/3 [00:02<00:00, 1.04it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.7ms Speed: 2.5ms preprocess, 8.7ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:02, 1.42s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.19s/it] 100%|██████████| 3/3 [00:02<00:00, 1.24it/s] 100%|██████████| 3/3 [00:02<00:00, 1.07it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s Uploading outputs... Finished.