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Cute Girl by the Pool with Raekana Mix
raekana-mix:v2.0
evevalentine2017
evevalentine2017
·
12/12/2023
358
Input
prompt
Specify things to see in the output
(masterpiece:1.2), (best quality:1.1), (highres:1.1), ultra-detailed, in pool, (school:0.9), detailed background, sun shower, outdoors, 1girl, school uniform, bent over, leaning forward, naughty, (bra visible through clothes:1.1), white shirt, floating, HDR, sunlight, (from below:1.1), (in water:1.1),happy
negative_prompt
Specify things to not see in the output
(worst quality, low quality:1.4), monochrome, zombie, (interlocked fingers:1.2), bad-hands-5
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.
656368934
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
Euler a
samping_steps
Number of denoising steps
33
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
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)
bad-hands-5.pt
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/5d3feae501b14afe8707e669fde43281/00000-656368934.webp
https://files.tungsten.run/uploads/1e4540bea86e4547b919d65b2169cf2d/00001-656368935.webp
https://files.tungsten.run/uploads/11936de9f0044214a9ec4c79dc53140f/00002-656368936.webp
https://files.tungsten.run/uploads/807ed8fede9a4da8a546af8f7e9bd8bf/00003-656368937.webp
Finished in 58.2 seconds
Preparing inputs... Processing... Full prompt: (masterpiece:1.2), (best quality:1.1), (highres:1.1), ultra-detailed, in pool, (school:0.9), detailed background, sun shower, outdoors, 1girl, school uniform, bent over, leaning forward, naughty, (bra visible through clothes:1.1), white shirt, floating, HDR, sunlight, (from below:1.1), (in water:1.1),happy Full negative prompt: (worst quality, low quality:1.4), monochrome, zombie, (interlocked fingers:1.2), bad-hands-5 0%| | 0/33 [00:00<?, ?it/s] 3%|▎ | 1/33 [00:00<00:21, 1.52it/s] 6%|▌ | 2/33 [00:01<00:20, 1.48it/s] 9%|▉ | 3/33 [00:02<00:20, 1.49it/s] 12%|█▏ | 4/33 [00:02<00:19, 1.48it/s] 15%|█▌ | 5/33 [00:03<00:19, 1.47it/s] 18%|█▊ | 6/33 [00:04<00:18, 1.47it/s] 21%|██ | 7/33 [00:04<00:17, 1.47it/s] 24%|██▍ | 8/33 [00:05<00:17, 1.47it/s] 27%|██▋ | 9/33 [00:06<00:16, 1.47it/s] 30%|███ | 10/33 [00:06<00:15, 1.46it/s] 33%|███▎ | 11/33 [00:07<00:15, 1.46it/s] 36%|███▋ | 12/33 [00:08<00:14, 1.46it/s] 39%|███▉ | 13/33 [00:08<00:13, 1.45it/s] 42%|████▏ | 14/33 [00:09<00:13, 1.44it/s] 45%|████▌ | 15/33 [00:10<00:12, 1.45it/s] 48%|████▊ | 16/33 [00:10<00:11, 1.45it/s] 52%|█████▏ | 17/33 [00:11<00:11, 1.45it/s] 55%|█████▍ | 18/33 [00:12<00:10, 1.45it/s] 58%|█████▊ | 19/33 [00:13<00:09, 1.45it/s] 61%|██████ | 20/33 [00:13<00:08, 1.45it/s] 64%|██████▎ | 21/33 [00:14<00:08, 1.45it/s] 67%|██████▋ | 22/33 [00:15<00:07, 1.45it/s] 70%|██████▉ | 23/33 [00:15<00:06, 1.44it/s] 73%|███████▎ | 24/33 [00:16<00:06, 1.44it/s] 76%|███████▌ | 25/33 [00:17<00:05, 1.44it/s] 79%|███████▉ | 26/33 [00:17<00:04, 1.43it/s] 82%|████████▏ | 27/33 [00:18<00:04, 1.43it/s] 85%|████████▍ | 28/33 [00:19<00:03, 1.43it/s] 88%|████████▊ | 29/33 [00:19<00:02, 1.43it/s] 91%|█████████ | 30/33 [00:20<00:02, 1.43it/s] 94%|█████████▍| 31/33 [00:21<00:01, 1.43it/s] 97%|█████████▋| 32/33 [00:22<00:00, 1.43it/s] 100%|██████████| 33/33 [00:22<00:00, 1.44it/s] 100%|██████████| 33/33 [00:22<00:00, 1.45it/s] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.01s 0%| | 0/19 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[00:00<00:02, 6.29it/s] 32%|███▏ | 6/19 [00:00<00:02, 6.16it/s] 37%|███▋ | 7/19 [00:01<00:01, 6.05it/s] 42%|████▏ | 8/19 [00:01<00:01, 6.04it/s] 47%|████▋ | 9/19 [00:01<00:01, 6.12it/s] 53%|█████▎ | 10/19 [00:01<00:01, 6.15it/s] 58%|█████▊ | 11/19 [00:01<00:01, 6.20it/s] 63%|██████▎ | 12/19 [00:01<00:01, 6.11it/s] 68%|██████▊ | 13/19 [00:02<00:00, 6.06it/s] 74%|███████▎ | 14/19 [00:02<00:00, 6.08it/s] 79%|███████▉ | 15/19 [00:02<00:00, 6.12it/s] 84%|████████▍ | 16/19 [00:02<00:00, 6.18it/s] 89%|████████▉ | 17/19 [00:02<00:00, 6.18it/s] 95%|█████████▍| 18/19 [00:02<00:00, 6.11it/s] 100%|██████████| 19/19 [00:03<00:00, 6.11it/s] 100%|██████████| 19/19 [00:03<00:00, 6.16it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:02, 6.45it/s] 11%|█ | 2/19 [00:00<00:02, 6.04it/s] 16%|█▌ | 3/19 [00:00<00:02, 6.12it/s] 21%|██ | 4/19 [00:00<00:02, 6.16it/s] 26%|██▋ | 5/19 [00:00<00:02, 6.20it/s] 32%|███▏ | 6/19 [00:00<00:02, 6.11it/s] 37%|███▋ | 7/19 [00:01<00:01, 6.07it/s] 42%|████▏ | 8/19 [00:01<00:01, 6.09it/s] 47%|████▋ | 9/19 [00:01<00:01, 6.12it/s] 53%|█████▎ | 10/19 [00:01<00:01, 6.14it/s] 58%|█████▊ | 11/19 [00:01<00:01, 6.17it/s] 63%|██████▎ | 12/19 [00:01<00:01, 6.12it/s] 68%|██████▊ | 13/19 [00:02<00:00, 6.09it/s] 74%|███████▎ | 14/19 [00:02<00:00, 6.05it/s] 79%|███████▉ | 15/19 [00:02<00:00, 6.11it/s] 84%|████████▍ | 16/19 [00:02<00:00, 6.14it/s] 89%|████████▉ | 17/19 [00:02<00:00, 6.18it/s] 95%|█████████▍| 18/19 [00:02<00:00, 6.15it/s] 100%|██████████| 19/19 [00:03<00:00, 6.19it/s] 100%|██████████| 19/19 [00:03<00:00, 6.14it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s [-] ADetailer: nothing detected on image 3 with 2nd settings. 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:02, 6.56it/s] 11%|█ | 2/19 [00:00<00:02, 6.39it/s] 16%|█▌ | 3/19 [00:00<00:02, 6.34it/s] 21%|██ | 4/19 [00:00<00:02, 6.33it/s] 26%|██▋ | 5/19 [00:00<00:02, 6.35it/s] 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37%|███▋ | 7/19 [00:01<00:01, 6.12it/s] 42%|████▏ | 8/19 [00:01<00:01, 6.09it/s] 47%|████▋ | 9/19 [00:01<00:01, 6.14it/s] 53%|█████▎ | 10/19 [00:01<00:01, 6.19it/s] 58%|█████▊ | 11/19 [00:01<00:01, 6.21it/s] 63%|██████▎ | 12/19 [00:01<00:01, 6.16it/s] 68%|██████▊ | 13/19 [00:02<00:00, 6.12it/s] 74%|███████▎ | 14/19 [00:02<00:00, 6.12it/s] 79%|███████▉ | 15/19 [00:02<00:00, 6.13it/s] 84%|████████▍ | 16/19 [00:02<00:00, 6.19it/s] 89%|████████▉ | 17/19 [00:02<00:00, 6.21it/s] 95%|█████████▍| 18/19 [00:02<00:00, 6.19it/s] 100%|██████████| 19/19 [00:03<00:00, 6.23it/s] 100%|██████████| 19/19 [00:03<00:00, 6.20it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Finished.
prompt
Specify things to see in the output
(masterpiece:1.2), (best quality:1.1), (highres:1.1), ultra-detailed, in pool, (school:0.9), detailed background, sun shower, outdoors, 1girl, school uniform, bent over, leaning forward, naughty, (bra visible through clothes:1.1), white shirt, floating, HDR, sunlight, (from below:1.1), (in water:1.1),happy
negative_prompt
Specify things to not see in the output
(worst quality, low quality:1.4), monochrome, zombie, (interlocked fingers:1.2), bad-hands-5
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.
656368934
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
Euler a
samping_steps
Number of denoising steps
33
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
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)
bad-hands-5.pt
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/5d3feae501b14afe8707e669fde43281/00000-656368934.webp
https://files.tungsten.run/uploads/1e4540bea86e4547b919d65b2169cf2d/00001-656368935.webp
https://files.tungsten.run/uploads/11936de9f0044214a9ec4c79dc53140f/00002-656368936.webp
https://files.tungsten.run/uploads/807ed8fede9a4da8a546af8f7e9bd8bf/00003-656368937.webp
Finished in 58.2 seconds
Preparing inputs... Processing... Full prompt: (masterpiece:1.2), (best quality:1.1), (highres:1.1), ultra-detailed, in pool, (school:0.9), detailed background, sun shower, outdoors, 1girl, school uniform, bent over, leaning forward, naughty, (bra visible through clothes:1.1), white shirt, floating, HDR, sunlight, (from below:1.1), (in water:1.1),happy Full negative prompt: (worst quality, low quality:1.4), monochrome, zombie, (interlocked fingers:1.2), bad-hands-5 0%| | 0/33 [00:00<?, ?it/s] 3%|▎ | 1/33 [00:00<00:21, 1.52it/s] 6%|▌ | 2/33 [00:01<00:20, 1.48it/s] 9%|▉ | 3/33 [00:02<00:20, 1.49it/s] 12%|█▏ | 4/33 [00:02<00:19, 1.48it/s] 15%|█▌ | 5/33 [00:03<00:19, 1.47it/s] 18%|█▊ | 6/33 [00:04<00:18, 1.47it/s] 21%|██ | 7/33 [00:04<00:17, 1.47it/s] 24%|██▍ | 8/33 [00:05<00:17, 1.47it/s] 27%|██▋ | 9/33 [00:06<00:16, 1.47it/s] 30%|███ | 10/33 [00:06<00:15, 1.46it/s] 33%|███▎ | 11/33 [00:07<00:15, 1.46it/s] 36%|███▋ | 12/33 [00:08<00:14, 1.46it/s] 39%|███▉ | 13/33 [00:08<00:13, 1.45it/s] 42%|████▏ | 14/33 [00:09<00:13, 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[00:00<00:02, 6.11it/s] 37%|███▋ | 7/19 [00:01<00:01, 6.07it/s] 42%|████▏ | 8/19 [00:01<00:01, 6.09it/s] 47%|████▋ | 9/19 [00:01<00:01, 6.12it/s] 53%|█████▎ | 10/19 [00:01<00:01, 6.14it/s] 58%|█████▊ | 11/19 [00:01<00:01, 6.17it/s] 63%|██████▎ | 12/19 [00:01<00:01, 6.12it/s] 68%|██████▊ | 13/19 [00:02<00:00, 6.09it/s] 74%|███████▎ | 14/19 [00:02<00:00, 6.05it/s] 79%|███████▉ | 15/19 [00:02<00:00, 6.11it/s] 84%|████████▍ | 16/19 [00:02<00:00, 6.14it/s] 89%|████████▉ | 17/19 [00:02<00:00, 6.18it/s] 95%|█████████▍| 18/19 [00:02<00:00, 6.15it/s] 100%|██████████| 19/19 [00:03<00:00, 6.19it/s] 100%|██████████| 19/19 [00:03<00:00, 6.14it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s [-] ADetailer: nothing detected on image 3 with 2nd settings. 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:02, 6.56it/s] 11%|█ | 2/19 [00:00<00:02, 6.39it/s] 16%|█▌ | 3/19 [00:00<00:02, 6.34it/s] 21%|██ | 4/19 [00:00<00:02, 6.33it/s] 26%|██▋ | 5/19 [00:00<00:02, 6.35it/s] 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