Yinlin
Input
prompt
Specify things to see in the output
score_9, score_8_up, score_7_up, source_anime, <lora:ako-amau-s1-ponyxl-lora-nochekaiser:1>, medium breasts, looking at viewer <lora:yinlin:0.8>
negative_prompt
Specify things to not see in the output
EasyNegative, bad anatomy, bad hands, low quality, worst quality, jpeg artifacts, signature, watermark, nudity
Detailer
Detailer
0
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1024
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
false
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
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
-1
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
Restart
samping_steps
Number of denoising steps
20
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
1
vae
Select VAE
None
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/8551bf1107e941f18469201106927c87/output-62d1a80b473c4b19b5f465ef7968b9ab-00000-2703546291.webp
https://files.tungsten.run/uploads/980d5c6a70cb4393831a19d1ce0223a5/output-87625d25ee6e4393b4cb131ec7f67d36-00001-2703546292.webp
https://files.tungsten.run/uploads/9d534cec46024db480a94f3838515024/output-bf3888d176bc4c9f9bad7aef62187fcc-00002-2703546293.webp
Finished in 84.0 seconds
Using seed 2703546291 Full prompt: score_9, score_8_up, score_7_up, source_anime, <lora:ako-amau-s1-ponyxl-lora-nochekaiser:1>, medium breasts, looking at viewer <lora:yinlin:0.8> Full negative prompt: EasyNegative, bad anatomy, bad hands, low quality, worst quality, jpeg artifacts, signature, watermark, nudity Couldn't find network with name ako-amau-s1-ponyxl-lora-nochekaiser 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:03<01:02, 3.27s/it] 10%|█ | 2/20 [00:05<00:43, 2.43s/it] 15%|█▌ | 3/20 [00:06<00:36, 2.16s/it] 20%|██ | 4/20 [00:08<00:32, 2.04s/it] 25%|██▌ | 5/20 [00:10<00:29, 1.98s/it] 30%|███ | 6/20 [00:12<00:27, 1.94s/it] 35%|███▌ | 7/20 [00:14<00:24, 1.91s/it] 40%|████ | 8/20 [00:16<00:22, 1.90s/it] 45%|████▌ | 9/20 [00:18<00:20, 1.89s/it] 50%|█████ | 10/20 [00:20<00:18, 1.89s/it] 55%|█████▌ | 11/20 [00:21<00:16, 1.89s/it] 60%|██████ | 12/20 [00:24<00:16, 2.04s/it] 65%|██████▌ | 13/20 [00:26<00:13, 2.00s/it] 70%|███████ | 14/20 [00:28<00:11, 1.97s/it] 75%|███████▌ | 15/20 [00:30<00:09, 1.95s/it] 80%|████████ | 16/20 [00:31<00:07, 1.93s/it] 85%|████████▌ | 17/20 [00:33<00:05, 1.92s/it] 90%|█████████ | 18/20 [00:35<00:03, 1.92s/it] 95%|█████████▌| 19/20 [00:37<00:01, 1.92s/it] 100%|██████████| 20/20 [00:38<00:00, 1.63s/it] 100%|██████████| 20/20 [00:38<00:00, 1.93s/it] Decoding latents in cuda:0... done in 1.72s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 167.8ms Speed: 2.6ms preprocess, 167.8ms inference, 30.9ms postprocess per image at shape (1, 3, 640, 480) Couldn't find network with name ako-amau-s1-ponyxl-lora-nochekaiser 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:08, 1.24it/s] 17%|█▋ | 2/12 [00:01<00:07, 1.37it/s] 25%|██▌ | 3/12 [00:02<00:06, 1.42it/s] 33%|███▎ | 4/12 [00:02<00:05, 1.45it/s] 42%|████▏ | 5/12 [00:03<00:04, 1.46it/s] 50%|█████ | 6/12 [00:04<00:04, 1.46it/s] 58%|█████▊ | 7/12 [00:04<00:03, 1.46it/s] 67%|██████▋ | 8/12 [00:05<00:02, 1.47it/s] 75%|███████▌ | 9/12 [00:06<00:02, 1.46it/s] 83%|████████▎ | 10/12 [00:06<00:01, 1.46it/s] 92%|█████████▏| 11/12 [00:07<00:00, 1.47it/s] 100%|██████████| 12/12 [00:07<00:00, 1.73it/s] 100%|██████████| 12/12 [00:07<00:00, 1.51it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.4ms Speed: 2.3ms preprocess, 8.4ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 480) Couldn't find network with name ako-amau-s1-ponyxl-lora-nochekaiser 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:07, 1.48it/s] 17%|█▋ | 2/12 [00:01<00:07, 1.42it/s] 25%|██▌ | 3/12 [00:02<00:06, 1.43it/s] 33%|███▎ | 4/12 [00:02<00:05, 1.41it/s] 42%|████▏ | 5/12 [00:03<00:05, 1.40it/s] 50%|█████ | 6/12 [00:04<00:04, 1.40it/s] 58%|█████▊ | 7/12 [00:04<00:03, 1.42it/s] 67%|██████▋ | 8/12 [00:05<00:02, 1.44it/s] 75%|███████▌ | 9/12 [00:06<00:02, 1.42it/s] 83%|████████▎ | 10/12 [00:07<00:01, 1.43it/s] 92%|█████████▏| 11/12 [00:07<00:00, 1.44it/s] 100%|██████████| 12/12 [00:08<00:00, 1.70it/s] 100%|██████████| 12/12 [00:08<00:00, 1.49it/s] Decoding latents in cuda:0... done in 0.59s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.7ms Speed: 2.4ms preprocess, 8.7ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480) Couldn't find network with name ako-amau-s1-ponyxl-lora-nochekaiser 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:08, 1.35it/s] 17%|█▋ | 2/12 [00:01<00:07, 1.29it/s] 25%|██▌ | 3/12 [00:02<00:07, 1.27it/s] 33%|███▎ | 4/12 [00:03<00:06, 1.31it/s] 42%|████▏ | 5/12 [00:03<00:05, 1.37it/s] 50%|█████ | 6/12 [00:04<00:04, 1.39it/s] 58%|█████▊ | 7/12 [00:05<00:03, 1.42it/s] 67%|██████▋ | 8/12 [00:05<00:02, 1.43it/s] 75%|███████▌ | 9/12 [00:06<00:02, 1.44it/s] 83%|████████▎ | 10/12 [00:07<00:01, 1.43it/s] 92%|█████████▏| 11/12 [00:07<00:00, 1.44it/s] 100%|██████████| 12/12 [00:08<00:00, 1.71it/s] 100%|██████████| 12/12 [00:08<00:00, 1.46it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s Uploading files.. Finished.
prompt
Specify things to see in the output
score_9, score_8_up, score_7_up, source_anime, <lora:ako-amau-s1-ponyxl-lora-nochekaiser:1>, medium breasts, looking at viewer <lora:yinlin:0.8>
negative_prompt
Specify things to not see in the output
EasyNegative, bad anatomy, bad hands, low quality, worst quality, jpeg artifacts, signature, watermark, nudity
Detailer
Detailer
0
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1024
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
false
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
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
-1
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
Restart
samping_steps
Number of denoising steps
20
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
1
vae
Select VAE
None
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/8551bf1107e941f18469201106927c87/output-62d1a80b473c4b19b5f465ef7968b9ab-00000-2703546291.webp
https://files.tungsten.run/uploads/980d5c6a70cb4393831a19d1ce0223a5/output-87625d25ee6e4393b4cb131ec7f67d36-00001-2703546292.webp
https://files.tungsten.run/uploads/9d534cec46024db480a94f3838515024/output-bf3888d176bc4c9f9bad7aef62187fcc-00002-2703546293.webp
Finished in 84.0 seconds
Using seed 2703546291 Full prompt: score_9, score_8_up, score_7_up, source_anime, <lora:ako-amau-s1-ponyxl-lora-nochekaiser:1>, medium breasts, looking at viewer <lora:yinlin:0.8> Full negative prompt: EasyNegative, bad anatomy, bad hands, low quality, worst quality, jpeg artifacts, signature, watermark, nudity Couldn't find network with name ako-amau-s1-ponyxl-lora-nochekaiser 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:03<01:02, 3.27s/it] 10%|█ | 2/20 [00:05<00:43, 2.43s/it] 15%|█▌ | 3/20 [00:06<00:36, 2.16s/it] 20%|██ | 4/20 [00:08<00:32, 2.04s/it] 25%|██▌ | 5/20 [00:10<00:29, 1.98s/it] 30%|███ | 6/20 [00:12<00:27, 1.94s/it] 35%|███▌ | 7/20 [00:14<00:24, 1.91s/it] 40%|████ | 8/20 [00:16<00:22, 1.90s/it] 45%|████▌ | 9/20 [00:18<00:20, 1.89s/it] 50%|█████ | 10/20 [00:20<00:18, 1.89s/it] 55%|█████▌ | 11/20 [00:21<00:16, 1.89s/it] 60%|██████ | 12/20 [00:24<00:16, 2.04s/it] 65%|██████▌ | 13/20 [00:26<00:13, 2.00s/it] 70%|███████ | 14/20 [00:28<00:11, 1.97s/it] 75%|███████▌ | 15/20 [00:30<00:09, 1.95s/it] 80%|████████ | 16/20 [00:31<00:07, 1.93s/it] 85%|████████▌ | 17/20 [00:33<00:05, 1.92s/it] 90%|█████████ | 18/20 [00:35<00:03, 1.92s/it] 95%|█████████▌| 19/20 [00:37<00:01, 1.92s/it] 100%|██████████| 20/20 [00:38<00:00, 1.63s/it] 100%|██████████| 20/20 [00:38<00:00, 1.93s/it] Decoding latents in cuda:0... done in 1.72s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 167.8ms Speed: 2.6ms preprocess, 167.8ms inference, 30.9ms postprocess per image at shape (1, 3, 640, 480) Couldn't find network with name ako-amau-s1-ponyxl-lora-nochekaiser 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:08, 1.24it/s] 17%|█▋ | 2/12 [00:01<00:07, 1.37it/s] 25%|██▌ | 3/12 [00:02<00:06, 1.42it/s] 33%|███▎ | 4/12 [00:02<00:05, 1.45it/s] 42%|████▏ | 5/12 [00:03<00:04, 1.46it/s] 50%|█████ | 6/12 [00:04<00:04, 1.46it/s] 58%|█████▊ | 7/12 [00:04<00:03, 1.46it/s] 67%|██████▋ | 8/12 [00:05<00:02, 1.47it/s] 75%|███████▌ | 9/12 [00:06<00:02, 1.46it/s] 83%|████████▎ | 10/12 [00:06<00:01, 1.46it/s] 92%|█████████▏| 11/12 [00:07<00:00, 1.47it/s] 100%|██████████| 12/12 [00:07<00:00, 1.73it/s] 100%|██████████| 12/12 [00:07<00:00, 1.51it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.4ms Speed: 2.3ms preprocess, 8.4ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 480) Couldn't find network with name ako-amau-s1-ponyxl-lora-nochekaiser 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:07, 1.48it/s] 17%|█▋ | 2/12 [00:01<00:07, 1.42it/s] 25%|██▌ | 3/12 [00:02<00:06, 1.43it/s] 33%|███▎ | 4/12 [00:02<00:05, 1.41it/s] 42%|████▏ | 5/12 [00:03<00:05, 1.40it/s] 50%|█████ | 6/12 [00:04<00:04, 1.40it/s] 58%|█████▊ | 7/12 [00:04<00:03, 1.42it/s] 67%|██████▋ | 8/12 [00:05<00:02, 1.44it/s] 75%|███████▌ | 9/12 [00:06<00:02, 1.42it/s] 83%|████████▎ | 10/12 [00:07<00:01, 1.43it/s] 92%|█████████▏| 11/12 [00:07<00:00, 1.44it/s] 100%|██████████| 12/12 [00:08<00:00, 1.70it/s] 100%|██████████| 12/12 [00:08<00:00, 1.49it/s] Decoding latents in cuda:0... done in 0.59s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.7ms Speed: 2.4ms preprocess, 8.7ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480) Couldn't find network with name ako-amau-s1-ponyxl-lora-nochekaiser 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:08, 1.35it/s] 17%|█▋ | 2/12 [00:01<00:07, 1.29it/s] 25%|██▌ | 3/12 [00:02<00:07, 1.27it/s] 33%|███▎ | 4/12 [00:03<00:06, 1.31it/s] 42%|████▏ | 5/12 [00:03<00:05, 1.37it/s] 50%|█████ | 6/12 [00:04<00:04, 1.39it/s] 58%|█████▊ | 7/12 [00:05<00:03, 1.42it/s] 67%|██████▋ | 8/12 [00:05<00:02, 1.43it/s] 75%|███████▌ | 9/12 [00:06<00:02, 1.44it/s] 83%|████████▎ | 10/12 [00:07<00:01, 1.43it/s] 92%|█████████▏| 11/12 [00:07<00:00, 1.44it/s] 100%|██████████| 12/12 [00:08<00:00, 1.71it/s] 100%|██████████| 12/12 [00:08<00:00, 1.46it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s Uploading files.. Finished.