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perfectRSBmix
perfectRSBmix

perfectRSBmix

53 stars
Version: v7.1
Input
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
Detailer
Detailer
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/436ceca4720a4c2d9a2940a365540d2f/output-4544315e6b4d4b47b9e7ce4f6ebff7de-00000-131083323.webp
https://files.tungsten.run/uploads/e9cc1749c75241a78fb9cf510ae69488/output-16001e1cc2a64b8e8a22b70d14dba9dc-00001-131083324.webp
https://files.tungsten.run/uploads/32cc232ad70341c5a9d14ba794f66d70/output-317d4269653f4f49bb9c301ed1e75c72-00002-131083325.webp
This example was created by zennerhenric
Finished in 59.0 seconds
Using seed 131083323 Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: score_9,score_8_up,score_7_up,source_anime, 1girl,solo,thighhighs,medium breasts,black hair,breasts,short hair,white thighhighs,yellow eyes,dress,smile,nun,black dress,thighs,long sleeves,looking at viewer,black footwear,pelvic curtain,large breasts,torn clothes,hair between eyes,skindentation,leg up,simple background,white background, Full negative prompt: mutated hands and fingers,bad feet,shiny_skin,watermark,score_4,score_3,score_2,score_1,simple background, 0%| | 0/24 [00:00<?, ?it/s] 4%|▍ | 1/24 [00:00<00:20, 1.11it/s] 8%|▊ | 2/24 [00:01<00:19, 1.13it/s] 12%|█▎ | 3/24 [00:02<00:18, 1.13it/s] 17%|█▋ | 4/24 [00:03<00:17, 1.13it/s] 21%|██ | 5/24 [00:04<00:16, 1.13it/s] 25%|██▌ | 6/24 [00:05<00:15, 1.13it/s] 29%|██▉ | 7/24 [00:06<00:15, 1.13it/s] 33%|███▎ | 8/24 [00:07<00:14, 1.13it/s] 38%|███▊ | 9/24 [00:07<00:13, 1.13it/s] 42%|████▏ | 10/24 [00:08<00:12, 1.13it/s] 46%|████▌ | 11/24 [00:09<00:11, 1.13it/s] 50%|█████ | 12/24 [00:10<00:10, 1.13it/s] 54%|█████▍ | 13/24 [00:11<00:09, 1.13it/s] 58%|█████▊ | 14/24 [00:12<00:08, 1.13it/s] 62%|██████▎ | 15/24 [00:13<00:07, 1.13it/s] 67%|██████▋ | 16/24 [00:14<00:07, 1.12it/s] 71%|███████ | 17/24 [00:15<00:06, 1.12it/s] 75%|███████▌ | 18/24 [00:16<00:05, 1.11it/s] 79%|███████▉ | 19/24 [00:16<00:04, 1.11it/s] 83%|████████▎ | 20/24 [00:17<00:03, 1.11it/s] 88%|████████▊ | 21/24 [00:18<00:02, 1.11it/s] 92%|█████████▏| 22/24 [00:19<00:01, 1.10it/s] 96%|█████████▌| 23/24 [00:20<00:00, 1.10it/s] 100%|██████████| 24/24 [00:21<00:00, 1.11it/s] 100%|██████████| 24/24 [00:21<00:00, 1.12it/s] Decoding latents in cuda:0... done in 1.76s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 158.9ms Speed: 3.3ms preprocess, 158.9ms inference, 30.5ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:07, 1.33it/s] 18%|█▊ | 2/11 [00:01<00:05, 1.51it/s] 27%|██▋ | 3/11 [00:01<00:05, 1.58it/s] 36%|███▋ | 4/11 [00:02<00:04, 1.61it/s] 45%|████▌ | 5/11 [00:03<00:03, 1.63it/s] 55%|█████▍ | 6/11 [00:03<00:03, 1.65it/s] 64%|██████▎ | 7/11 [00:04<00:02, 1.65it/s] 73%|███████▎ | 8/11 [00:04<00:01, 1.66it/s] 82%|████████▏ | 9/11 [00:05<00:01, 1.64it/s] 91%|█████████ | 10/11 [00:06<00:00, 1.64it/s] 100%|██████████| 11/11 [00:06<00:00, 1.63it/s] 100%|██████████| 11/11 [00:06<00:00, 1.62it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.3ms Speed: 2.3ms preprocess, 8.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:06, 1.67it/s] 18%|█▊ | 2/11 [00:01<00:05, 1.66it/s] 27%|██▋ | 3/11 [00:01<00:04, 1.66it/s] 36%|███▋ | 4/11 [00:02<00:04, 1.53it/s] 45%|████▌ | 5/11 [00:03<00:03, 1.56it/s] 55%|█████▍ | 6/11 [00:03<00:03, 1.59it/s] 64%|██████▎ | 7/11 [00:04<00:02, 1.59it/s] 73%|███████▎ | 8/11 [00:04<00:01, 1.61it/s] 82%|████████▏ | 9/11 [00:05<00:01, 1.60it/s] 91%|█████████ | 10/11 [00:06<00:00, 1.61it/s] 100%|██████████| 11/11 [00:07<00:00, 1.42it/s] 100%|██████████| 11/11 [00:07<00:00, 1.54it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.2ms Speed: 2.3ms preprocess, 8.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:06, 1.64it/s] 18%|█▊ | 2/11 [00:01<00:05, 1.63it/s] 27%|██▋ | 3/11 [00:01<00:04, 1.65it/s] 36%|███▋ | 4/11 [00:02<00:04, 1.64it/s] 45%|████▌ | 5/11 [00:03<00:03, 1.64it/s] 55%|█████▍ | 6/11 [00:03<00:03, 1.65it/s] 64%|██████▎ | 7/11 [00:04<00:02, 1.64it/s] 73%|███████▎ | 8/11 [00:04<00:01, 1.65it/s] 82%|████████▏ | 9/11 [00:05<00:01, 1.65it/s] 91%|█████████ | 10/11 [00:06<00:00, 1.64it/s] 100%|██████████| 11/11 [00:06<00:00, 1.65it/s] 100%|██████████| 11/11 [00:06<00:00, 1.65it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s Uploading files.. Finished.
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
Detailer
Detailer
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/436ceca4720a4c2d9a2940a365540d2f/output-4544315e6b4d4b47b9e7ce4f6ebff7de-00000-131083323.webp
https://files.tungsten.run/uploads/e9cc1749c75241a78fb9cf510ae69488/output-16001e1cc2a64b8e8a22b70d14dba9dc-00001-131083324.webp
https://files.tungsten.run/uploads/32cc232ad70341c5a9d14ba794f66d70/output-317d4269653f4f49bb9c301ed1e75c72-00002-131083325.webp
This example was created by zennerhenric
Finished in 59.0 seconds
Using seed 131083323 Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: score_9,score_8_up,score_7_up,source_anime, 1girl,solo,thighhighs,medium breasts,black hair,breasts,short hair,white thighhighs,yellow eyes,dress,smile,nun,black dress,thighs,long sleeves,looking at viewer,black footwear,pelvic curtain,large breasts,torn clothes,hair between eyes,skindentation,leg up,simple background,white background, Full negative prompt: mutated hands and fingers,bad feet,shiny_skin,watermark,score_4,score_3,score_2,score_1,simple background, 0%| | 0/24 [00:00<?, ?it/s] 4%|▍ | 1/24 [00:00<00:20, 1.11it/s] 8%|▊ | 2/24 [00:01<00:19, 1.13it/s] 12%|█▎ | 3/24 [00:02<00:18, 1.13it/s] 17%|█▋ | 4/24 [00:03<00:17, 1.13it/s] 21%|██ | 5/24 [00:04<00:16, 1.13it/s] 25%|██▌ | 6/24 [00:05<00:15, 1.13it/s] 29%|██▉ | 7/24 [00:06<00:15, 1.13it/s] 33%|███▎ | 8/24 [00:07<00:14, 1.13it/s] 38%|███▊ | 9/24 [00:07<00:13, 1.13it/s] 42%|████▏ | 10/24 [00:08<00:12, 1.13it/s] 46%|████▌ | 11/24 [00:09<00:11, 1.13it/s] 50%|█████ | 12/24 [00:10<00:10, 1.13it/s] 54%|█████▍ | 13/24 [00:11<00:09, 1.13it/s] 58%|█████▊ | 14/24 [00:12<00:08, 1.13it/s] 62%|██████▎ | 15/24 [00:13<00:07, 1.13it/s] 67%|██████▋ | 16/24 [00:14<00:07, 1.12it/s] 71%|███████ | 17/24 [00:15<00:06, 1.12it/s] 75%|███████▌ | 18/24 [00:16<00:05, 1.11it/s] 79%|███████▉ | 19/24 [00:16<00:04, 1.11it/s] 83%|████████▎ | 20/24 [00:17<00:03, 1.11it/s] 88%|████████▊ | 21/24 [00:18<00:02, 1.11it/s] 92%|█████████▏| 22/24 [00:19<00:01, 1.10it/s] 96%|█████████▌| 23/24 [00:20<00:00, 1.10it/s] 100%|██████████| 24/24 [00:21<00:00, 1.11it/s] 100%|██████████| 24/24 [00:21<00:00, 1.12it/s] Decoding latents in cuda:0... done in 1.76s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 158.9ms Speed: 3.3ms preprocess, 158.9ms inference, 30.5ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:07, 1.33it/s] 18%|█▊ | 2/11 [00:01<00:05, 1.51it/s] 27%|██▋ | 3/11 [00:01<00:05, 1.58it/s] 36%|███▋ | 4/11 [00:02<00:04, 1.61it/s] 45%|████▌ | 5/11 [00:03<00:03, 1.63it/s] 55%|█████▍ | 6/11 [00:03<00:03, 1.65it/s] 64%|██████▎ | 7/11 [00:04<00:02, 1.65it/s] 73%|███████▎ | 8/11 [00:04<00:01, 1.66it/s] 82%|████████▏ | 9/11 [00:05<00:01, 1.64it/s] 91%|█████████ | 10/11 [00:06<00:00, 1.64it/s] 100%|██████████| 11/11 [00:06<00:00, 1.63it/s] 100%|██████████| 11/11 [00:06<00:00, 1.62it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.3ms Speed: 2.3ms preprocess, 8.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:06, 1.67it/s] 18%|█▊ | 2/11 [00:01<00:05, 1.66it/s] 27%|██▋ | 3/11 [00:01<00:04, 1.66it/s] 36%|███▋ | 4/11 [00:02<00:04, 1.53it/s] 45%|████▌ | 5/11 [00:03<00:03, 1.56it/s] 55%|█████▍ | 6/11 [00:03<00:03, 1.59it/s] 64%|██████▎ | 7/11 [00:04<00:02, 1.59it/s] 73%|███████▎ | 8/11 [00:04<00:01, 1.61it/s] 82%|████████▏ | 9/11 [00:05<00:01, 1.60it/s] 91%|█████████ | 10/11 [00:06<00:00, 1.61it/s] 100%|██████████| 11/11 [00:07<00:00, 1.42it/s] 100%|██████████| 11/11 [00:07<00:00, 1.54it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.2ms Speed: 2.3ms preprocess, 8.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:06, 1.64it/s] 18%|█▊ | 2/11 [00:01<00:05, 1.63it/s] 27%|██▋ | 3/11 [00:01<00:04, 1.65it/s] 36%|███▋ | 4/11 [00:02<00:04, 1.64it/s] 45%|████▌ | 5/11 [00:03<00:03, 1.64it/s] 55%|█████▍ | 6/11 [00:03<00:03, 1.65it/s] 64%|██████▎ | 7/11 [00:04<00:02, 1.64it/s] 73%|███████▎ | 8/11 [00:04<00:01, 1.65it/s] 82%|████████▏ | 9/11 [00:05<00:01, 1.65it/s] 91%|█████████ | 10/11 [00:06<00:00, 1.64it/s] 100%|██████████| 11/11 [00:06<00:00, 1.65it/s] 100%|██████████| 11/11 [00:06<00:00, 1.65it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s Uploading files.. Finished.