Agent Smith with Animatrix
Input
prompt
Specify things to see in the output
1man, agent Smith, <lora: Agent_Smith_Matrix-KK77-V1: 1>, matrixCommandLineStyle, <lora:matrixCommandLineStyle:1>
negative_prompt
Specify things to not see in the output
(worst quality, bad quality, child, cropped:1.4)
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
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0
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.
4014846642
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
DPM++ 2M Karras
samping_steps
Number of denoising steps
38
cfg_scale
Scale for classifier-free guidance
10
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/396b955d5b9f43ae87d764ff3a251ddd/00000-4014846642.webp
https://files.tungsten.run/uploads/4d17d6605e544977a1272ce14feb1c55/00001-4014846643.webp
https://files.tungsten.run/uploads/6540f7b5bdf142809eec30c5facb8628/00002-4014846644.webp
https://files.tungsten.run/uploads/5b56d4fd1fed422aa6b3191887f5d938/00003-4014846645.webp
Finished in 76.0 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: 1man, agent Smith, <lora: Agent_Smith_Matrix-KK77-V1: 1>, matrixCommandLineStyle, <lora:matrixCommandLineStyle:1> Full negative prompt: (worst quality, bad quality, child, cropped:1.4) Couldn't find network with name Agent_Smith_Matrix-KK77-V1 0%| | 0/38 [00:00<?, ?it/s] 3%|▎ | 1/38 [00:01<00:45, 1.22s/it] 5%|▌ | 2/38 [00:01<00:32, 1.11it/s] 8%|▊ | 3/38 [00:02<00:27, 1.27it/s] 11%|█ | 4/38 [00:03<00:25, 1.35it/s] 13%|█▎ | 5/38 [00:03<00:23, 1.40it/s] 16%|█▌ | 6/38 [00:04<00:22, 1.44it/s] 18%|█▊ | 7/38 [00:05<00:21, 1.46it/s] 21%|██ | 8/38 [00:05<00:20, 1.47it/s] 24%|██▎ | 9/38 [00:06<00:19, 1.48it/s] 26%|██▋ | 10/38 [00:07<00:18, 1.49it/s] 29%|██▉ | 11/38 [00:07<00:18, 1.49it/s] 32%|███▏ | 12/38 [00:08<00:17, 1.49it/s] 34%|███▍ | 13/38 [00:09<00:16, 1.49it/s] 37%|███▋ | 14/38 [00:09<00:16, 1.49it/s] 39%|███▉ | 15/38 [00:10<00:15, 1.49it/s] 42%|████▏ | 16/38 [00:11<00:14, 1.49it/s] 45%|████▍ | 17/38 [00:11<00:14, 1.49it/s] 47%|████▋ | 18/38 [00:12<00:13, 1.49it/s] 50%|█████ | 19/38 [00:13<00:12, 1.49it/s]
prompt
Specify things to see in the output
1man, agent Smith, <lora: Agent_Smith_Matrix-KK77-V1: 1>, matrixCommandLineStyle, <lora:matrixCommandLineStyle:1>
negative_prompt
Specify things to not see in the output
(worst quality, bad quality, child, cropped:1.4)
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
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0
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.
4014846642
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
DPM++ 2M Karras
samping_steps
Number of denoising steps
38
cfg_scale
Scale for classifier-free guidance
10
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/396b955d5b9f43ae87d764ff3a251ddd/00000-4014846642.webp
https://files.tungsten.run/uploads/4d17d6605e544977a1272ce14feb1c55/00001-4014846643.webp
https://files.tungsten.run/uploads/6540f7b5bdf142809eec30c5facb8628/00002-4014846644.webp
https://files.tungsten.run/uploads/5b56d4fd1fed422aa6b3191887f5d938/00003-4014846645.webp
Finished in 76.0 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: 1man, agent Smith, <lora: Agent_Smith_Matrix-KK77-V1: 1>, matrixCommandLineStyle, <lora:matrixCommandLineStyle:1> Full negative prompt: (worst quality, bad quality, child, cropped:1.4) Couldn't find network with name Agent_Smith_Matrix-KK77-V1 0%| | 0/38 [00:00<?, ?it/s] 3%|▎ | 1/38 [00:01<00:45, 1.22s/it] 5%|▌ | 2/38 [00:01<00:32, 1.11it/s] 8%|▊ | 3/38 [00:02<00:27, 1.27it/s] 11%|█ | 4/38 [00:03<00:25, 1.35it/s] 13%|█▎ | 5/38 [00:03<00:23, 1.40it/s] 16%|█▌ | 6/38 [00:04<00:22, 1.44it/s] 18%|█▊ | 7/38 [00:05<00:21, 1.46it/s] 21%|██ | 8/38 [00:05<00:20, 1.47it/s] 24%|██▎ | 9/38 [00:06<00:19, 1.48it/s] 26%|██▋ | 10/38 [00:07<00:18, 1.49it/s] 29%|██▉ | 11/38 [00:07<00:18, 1.49it/s] 32%|███▏ | 12/38 [00:08<00:17, 1.49it/s] 34%|███▍ | 13/38 [00:09<00:16, 1.49it/s] 37%|███▋ | 14/38 [00:09<00:16, 1.49it/s] 39%|███▉ | 15/38 [00:10<00:15, 1.49it/s] 42%|████▏ | 16/38 [00:11<00:14, 1.49it/s] 45%|████▍ | 17/38 [00:11<00:14, 1.49it/s] 47%|████▋ | 18/38 [00:12<00:13, 1.49it/s] 50%|█████ | 19/38 [00:13<00:12, 1.49it/s]