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Girls by the Pond with Noosphere
noosphere:v3
evevalentine2017
evevalentine2017
·
Jan 3
363
Input
prompt
Specify things to see in the output
best quality, masterpiece, photorealistic, ultrarealistic, professional photograph shot on Canon EOS R6, 80mm, moody lighting, 1girl, (beautiful 24 yo swedish girl), perfect curves, sitting on a rock in the middle of a moonlit river, magical river, looking up, (underboob:1.2), purple bioluminescent dress, strapless, suggestive pose, romantic, solo, detailed eyes, beautiful, looking at viewer, crossed legs, embarrassed, cleavage, (nighttime, dark theme), fantasy, from front, (tilted neck), looking at viewer playfully, romantic, streaked hair, (blonde hair, mid parted hair, straight hair, long hair:1.2), pronounced blush, beautiful green eyes <lora:epi_noiseoffset2:0.5> <lora:lowra_v10:0.4> <lora:bioluminescent_dress-1.0:0.6>
negative_prompt
Specify things to not see in the output
(worst quality, low quality, normal quality:2), lowres, normal quality, split_screen, framed border, childlike paintings, bad lighting, sketches, bad anatomy, bad hands, (monochrome), (grayscale), EasyNegativeV2, bad-hands-5, ng_deepnegative_v1_75t
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
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
num_outputs
Number of output images
4
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
869288612
width
Output image width
768
height
Output image height
768
reference_image
Image that the output should be similar to
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
28
cfg_scale
Scale for classifier-free guidance
7.5
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>
epi_noiseoffset2.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
LowRA.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
bioluminescent_dress-1.0.safetensors
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
EasyNegativeV2.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-hands-5.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
Output
https://files.tungsten.run/uploads/8da74370254b45dfb5d2c16086013a8d/00000-869288612.png
https://files.tungsten.run/uploads/e4927b7fa1f947c6a17b1a95aa3a7168/00001-869288613.png
https://files.tungsten.run/uploads/7d2da11557eb4c3986700a148d91b5d1/00002-869288614.png
https://files.tungsten.run/uploads/3db565acfc3844098480250deac72ca0/00003-869288615.png
Finished in 62.3 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: best quality, masterpiece, photorealistic, ultrarealistic, professional photograph shot on Canon EOS R6, 80mm, moody lighting, 1girl, (beautiful 24 yo swedish girl), perfect curves, sitting on a rock in the middle of a moonlit river, magical river, looking up, (underboob:1.2), purple bioluminescent dress, strapless, suggestive pose, romantic, solo, detailed eyes, beautiful, looking at viewer, crossed legs, embarrassed, cleavage, (nighttime, dark theme), fantasy, from front, (tilted neck), looking at viewer playfully, romantic, streaked hair, (blonde hair, mid parted hair, straight hair, long hair:1.2), pronounced blush, beautiful green eyes <lora:epi_noiseoffset2:0.5> <lora:lowra_v10:0.4> <lora:bioluminescent_dress-1.0:0.6>, (best quality:1.5), (masterpiece:1.5) Full negative prompt: (worst quality, low quality, normal quality:2), lowres, normal quality, split_screen, framed border, childlike paintings, bad lighting, sketches, bad anatomy, bad hands, (monochrome), (grayscale), EasyNegativeV2, bad-hands-5, ng_deepnegative_v1_75t Couldn't find network with name lowra_v10 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:34, 1.27s/it] 7%|▋ | 2/28 [00:01<00:23, 1.11it/s] 11%|█ | 3/28 [00:02<00:19, 1.28it/s] 14%|█▍ | 4/28 [00:03<00:17, 1.37it/s] 18%|█▊ | 5/28 [00:03<00:16, 1.43it/s] 21%|██▏ | 6/28 [00:04<00:15, 1.46it/s] 25%|██▌ | 7/28 [00:05<00:14, 1.48it/s] 29%|██▊ | 8/28 [00:05<00:13, 1.50it/s] 32%|███▏ | 9/28 [00:06<00:12, 1.51it/s] 36%|███▌ | 10/28 [00:07<00:11, 1.52it/s] 39%|███▉ | 11/28 [00:07<00:11, 1.52it/s] 43%|████▎ | 12/28 [00:08<00:10, 1.52it/s] 46%|████▋ | 13/28 [00:09<00:09, 1.52it/s] 50%|█████ | 14/28 [00:09<00:09, 1.52it/s] 54%|█████▎ | 15/28 [00:10<00:08, 1.52it/s] 57%|█████▋ | 16/28 [00:11<00:07, 1.52it/s] 61%|██████ | 17/28 [00:11<00:07, 1.52it/s] 64%|██████▍ | 18/28 [00:12<00:06, 1.52it/s] 68%|██████▊ | 19/28 [00:13<00:05, 1.52it/s] 71%|███████▏ | 20/28 [00:13<00:05, 1.52it/s] 75%|███████▌ | 21/28 [00:14<00:04, 1.52it/s] 79%|███████▊ | 22/28 [00:14<00:03, 1.52it/s] 82%|████████▏ | 23/28 [00:15<00:03, 1.52it/s] 86%|████████▌ | 24/28 [00:16<00:02, 1.52it/s] 89%|████████▉ | 25/28 [00:16<00:01, 1.52it/s] 93%|█████████▎| 26/28 [00:17<00:01, 1.51it/s] 96%|█████████▋| 27/28 [00:18<00:00, 1.51it/s] 100%|██████████| 28/28 [00:18<00:00, 1.51it/s] 100%|██████████| 28/28 [00:18<00:00, 1.48it/s] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.7ms Speed: 3.4ms preprocess, 7.7ms inference, 32.5ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name lowra_v10 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:04, 2.63it/s] 15%|█▌ | 2/13 [00:00<00:03, 3.58it/s] 23%|██▎ | 3/13 [00:00<00:02, 4.12it/s] 31%|███ | 4/13 [00:00<00:02, 4.43it/s] 38%|███▊ | 5/13 [00:01<00:01, 4.63it/s] 46%|████▌ | 6/13 [00:01<00:01, 4.72it/s] 54%|█████▍ | 7/13 [00:01<00:01, 4.71it/s] 62%|██████▏ | 8/13 [00:01<00:01, 4.77it/s] 69%|██████▉ | 9/13 [00:02<00:00, 4.86it/s] 77%|███████▋ | 10/13 [00:02<00:00, 4.92it/s] 85%|████████▍ | 11/13 [00:02<00:00, 4.95it/s] 92%|█████████▏| 12/13 [00:02<00:00, 4.86it/s] 100%|██████████| 13/13 [00:02<00:00, 4.71it/s] 100%|██████████| 13/13 [00:02<00:00, 4.57it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.01s 0: 640x640 1 hand, 7.1ms Speed: 2.8ms preprocess, 7.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name lowra_v10 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:02, 5.06it/s] 15%|█▌ | 2/13 [00:00<00:02, 4.93it/s] 23%|██▎ | 3/13 [00:00<00:02, 4.89it/s] 31%|███ | 4/13 [00:00<00:01, 4.82it/s] 38%|███▊ | 5/13 [00:01<00:01, 4.91it/s] 46%|████▌ | 6/13 [00:01<00:01, 4.98it/s] 54%|█████▍ | 7/13 [00:01<00:01, 5.04it/s] 62%|██████▏ | 8/13 [00:01<00:00, 5.06it/s] 69%|██████▉ | 9/13 [00:01<00:00, 4.97it/s] 77%|███████▋ | 10/13 [00:02<00:00, 5.00it/s] 85%|████████▍ | 11/13 [00:02<00:00, 4.98it/s] 92%|█████████▏| 12/13 [00:02<00:00, 4.98it/s] 100%|██████████| 13/13 [00:02<00:00, 4.99it/s] 100%|██████████| 13/13 [00:02<00:00, 4.97it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 2.7ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name lowra_v10 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:02, 4.85it/s] 15%|█▌ | 2/13 [00:00<00:02, 4.98it/s] 23%|██▎ | 3/13 [00:00<00:01, 5.02it/s] 31%|███ | 4/13 [00:00<00:01, 4.78it/s] 38%|███▊ | 5/13 [00:01<00:01, 4.83it/s] 46%|████▌ | 6/13 [00:01<00:01, 4.80it/s] 54%|█████▍ | 7/13 [00:01<00:01, 4.87it/s] 62%|██████▏ | 8/13 [00:01<00:01, 4.87it/s] 69%|██████▉ | 9/13 [00:01<00:00, 4.92it/s] 77%|███████▋ | 10/13 [00:02<00:00, 4.94it/s] 85%|████████▍ | 11/13 [00:02<00:00, 4.89it/s] 92%|█████████▏| 12/13 [00:02<00:00, 4.95it/s] 100%|██████████| 13/13 [00:02<00:00, 4.99it/s] 100%|██████████| 13/13 [00:02<00:00, 4.91it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 6.8ms Speed: 2.7ms preprocess, 6.8ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name lowra_v10 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:02, 5.01it/s] 15%|█▌ | 2/13 [00:00<00:02, 4.98it/s] 23%|██▎ | 3/13 [00:00<00:01, 5.03it/s] 31%|███ | 4/13 [00:00<00:01, 4.97it/s] 38%|███▊ | 5/13 [00:01<00:01, 4.98it/s] 46%|████▌ | 6/13 [00:01<00:01, 4.99it/s] 54%|█████▍ | 7/13 [00:01<00:01, 4.99it/s] 62%|██████▏ | 8/13 [00:01<00:00, 5.01it/s] 69%|██████▉ | 9/13 [00:01<00:00, 4.92it/s] 77%|███████▋ | 10/13 [00:02<00:00, 4.98it/s] 85%|████████▍ | 11/13 [00:02<00:00, 5.01it/s] 92%|█████████▏| 12/13 [00:02<00:00, 4.96it/s] 100%|██████████| 13/13 [00:02<00:00, 4.90it/s] 100%|██████████| 13/13 [00:02<00:00, 4.96it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Couldn't find network with name lowra_v10 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:02, 4.97it/s] 15%|█▌ | 2/13 [00:00<00:02, 5.04it/s] 23%|██▎ | 3/13 [00:00<00:02, 4.97it/s] 31%|███ | 4/13 [00:00<00:01, 4.99it/s] 38%|███▊ | 5/13 [00:01<00:01, 5.00it/s] 46%|████▌ | 6/13 [00:01<00:01, 5.03it/s] 54%|█████▍ | 7/13 [00:01<00:01, 5.04it/s] 62%|██████▏ | 8/13 [00:01<00:01, 4.86it/s] 69%|██████▉ | 9/13 [00:01<00:00, 4.31it/s] 77%|███████▋ | 10/13 [00:02<00:00, 4.54it/s] 85%|████████▍ | 11/13 [00:02<00:00, 4.68it/s] 92%|█████████▏| 12/13 [00:02<00:00, 4.78it/s] 100%|██████████| 13/13 [00:02<00:00, 4.80it/s] 100%|██████████| 13/13 [00:02<00:00, 4.81it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 9.7ms Speed: 2.9ms preprocess, 9.7ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name lowra_v10 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:02, 4.91it/s] 15%|█▌ | 2/13 [00:00<00:02, 4.92it/s] 23%|██▎ | 3/13 [00:00<00:02, 4.97it/s] 31%|███ | 4/13 [00:00<00:01, 5.01it/s] 38%|███▊ | 5/13 [00:01<00:01, 4.99it/s] 46%|████▌ | 6/13 [00:01<00:01, 5.01it/s] 54%|█████▍ | 7/13 [00:01<00:01, 5.02it/s] 62%|██████▏ | 8/13 [00:01<00:01, 4.79it/s] 69%|██████▉ | 9/13 [00:01<00:00, 4.85it/s] 77%|███████▋ | 10/13 [00:02<00:00, 4.80it/s] 85%|████████▍ | 11/13 [00:02<00:00, 4.85it/s] 92%|█████████▏| 12/13 [00:02<00:00, 4.89it/s] 100%|██████████| 13/13 [00:02<00:00, 4.93it/s] 100%|██████████| 13/13 [00:02<00:00, 4.91it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.1ms Speed: 2.6ms preprocess, 7.1ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name lowra_v10 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:02, 4.89it/s] 15%|█▌ | 2/13 [00:00<00:02, 4.83it/s] 23%|██▎ | 3/13 [00:00<00:02, 4.97it/s] 31%|███ | 4/13 [00:00<00:01, 4.98it/s] 38%|███▊ | 5/13 [00:01<00:01, 4.98it/s] 46%|████▌ | 6/13 [00:01<00:01, 4.99it/s] 54%|█████▍ | 7/13 [00:01<00:01, 4.95it/s] 62%|██████▏ | 8/13 [00:01<00:01, 4.91it/s] 69%|██████▉ | 9/13 [00:01<00:00, 4.90it/s] 77%|███████▋ | 10/13 [00:02<00:00, 4.89it/s] 85%|████████▍ | 11/13 [00:02<00:00, 4.93it/s] 92%|█████████▏| 12/13 [00:02<00:00, 4.96it/s] 100%|██████████| 13/13 [00:02<00:00, 4.99it/s] 100%|██████████| 13/13 [00:02<00:00, 4.95it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 3.5ms preprocess, 7.4ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name lowra_v10 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:02, 4.89it/s] 15%|█▌ | 2/13 [00:00<00:02, 4.84it/s] 23%|██▎ | 3/13 [00:00<00:02, 4.84it/s] 31%|███ | 4/13 [00:00<00:01, 4.84it/s] 38%|███▊ | 5/13 [00:01<00:01, 4.73it/s] 46%|████▌ | 6/13 [00:01<00:01, 4.76it/s] 54%|█████▍ | 7/13 [00:01<00:01, 4.87it/s] 62%|██████▏ | 8/13 [00:01<00:01, 4.95it/s] 69%|██████▉ | 9/13 [00:01<00:00, 4.96it/s] 77%|███████▋ | 10/13 [00:02<00:00, 4.92it/s] 85%|████████▍ | 11/13 [00:02<00:00, 4.91it/s] 92%|█████████▏| 12/13 [00:02<00:00, 4.90it/s] 100%|██████████| 13/13 [00:02<00:00, 4.85it/s] 100%|██████████| 13/13 [00:02<00:00, 4.87it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 8.2ms Speed: 3.0ms preprocess, 8.2ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name lowra_v10 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:02, 4.64it/s] 15%|█▌ | 2/13 [00:00<00:02, 4.55it/s] 23%|██▎ | 3/13 [00:00<00:02, 4.61it/s] 31%|███ | 4/13 [00:00<00:01, 4.60it/s] 38%|███▊ | 5/13 [00:01<00:01, 4.62it/s] 46%|████▌ | 6/13 [00:01<00:01, 4.62it/s] 54%|█████▍ | 7/13 [00:01<00:01, 4.62it/s] 62%|██████▏ | 8/13 [00:01<00:01, 4.60it/s] 69%|██████▉ | 9/13 [00:01<00:00, 4.62it/s] 77%|███████▋ | 10/13 [00:02<00:00, 4.56it/s] 85%|████████▍ | 11/13 [00:02<00:00, 4.52it/s] 92%|█████████▏| 12/13 [00:02<00:00, 4.60it/s] 100%|██████████| 13/13 [00:02<00:00, 4.63it/s] 100%|██████████| 13/13 [00:02<00:00, 4.60it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
best quality, masterpiece, photorealistic, ultrarealistic, professional photograph shot on Canon EOS R6, 80mm, moody lighting, 1girl, (beautiful 24 yo swedish girl), perfect curves, sitting on a rock in the middle of a moonlit river, magical river, looking up, (underboob:1.2), purple bioluminescent dress, strapless, suggestive pose, romantic, solo, detailed eyes, beautiful, looking at viewer, crossed legs, embarrassed, cleavage, (nighttime, dark theme), fantasy, from front, (tilted neck), looking at viewer playfully, romantic, streaked hair, (blonde hair, mid parted hair, straight hair, long hair:1.2), pronounced blush, beautiful green eyes <lora:epi_noiseoffset2:0.5> <lora:lowra_v10:0.4> <lora:bioluminescent_dress-1.0:0.6>
negative_prompt
Specify things to not see in the output
(worst quality, low quality, normal quality:2), lowres, normal quality, split_screen, framed border, childlike paintings, bad lighting, sketches, bad anatomy, bad hands, (monochrome), (grayscale), EasyNegativeV2, bad-hands-5, ng_deepnegative_v1_75t
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
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
num_outputs
Number of output images
4
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
869288612
width
Output image width
768
height
Output image height
768
reference_image
Image that the output should be similar to
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
28
cfg_scale
Scale for classifier-free guidance
7.5
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>
epi_noiseoffset2.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
LowRA.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
bioluminescent_dress-1.0.safetensors
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
EasyNegativeV2.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-hands-5.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/8da74370254b45dfb5d2c16086013a8d/00000-869288612.png
https://files.tungsten.run/uploads/e4927b7fa1f947c6a17b1a95aa3a7168/00001-869288613.png
https://files.tungsten.run/uploads/7d2da11557eb4c3986700a148d91b5d1/00002-869288614.png
https://files.tungsten.run/uploads/3db565acfc3844098480250deac72ca0/00003-869288615.png
Finished in 62.3 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: best quality, masterpiece, photorealistic, ultrarealistic, professional photograph shot on Canon EOS R6, 80mm, moody lighting, 1girl, (beautiful 24 yo swedish girl), perfect curves, sitting on a rock in the middle of a moonlit river, magical river, looking up, (underboob:1.2), purple bioluminescent dress, strapless, suggestive pose, romantic, solo, detailed eyes, beautiful, looking at viewer, crossed legs, embarrassed, cleavage, (nighttime, dark theme), fantasy, from front, (tilted neck), looking at viewer playfully, romantic, streaked hair, (blonde hair, mid parted hair, straight hair, long hair:1.2), pronounced blush, beautiful green eyes <lora:epi_noiseoffset2:0.5> <lora:lowra_v10:0.4> <lora:bioluminescent_dress-1.0:0.6>, (best quality:1.5), (masterpiece:1.5) Full negative prompt: (worst quality, low quality, normal quality:2), lowres, normal quality, split_screen, framed border, childlike paintings, bad lighting, sketches, bad anatomy, bad hands, (monochrome), (grayscale), EasyNegativeV2, bad-hands-5, ng_deepnegative_v1_75t Couldn't find network with name lowra_v10 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:34, 1.27s/it] 7%|▋ | 2/28 [00:01<00:23, 1.11it/s] 11%|█ | 3/28 [00:02<00:19, 1.28it/s] 14%|█▍ | 4/28 [00:03<00:17, 1.37it/s] 18%|█▊ | 5/28 [00:03<00:16, 1.43it/s] 21%|██▏ | 6/28 [00:04<00:15, 1.46it/s] 25%|██▌ | 7/28 [00:05<00:14, 1.48it/s] 29%|██▊ | 8/28 [00:05<00:13, 1.50it/s] 32%|███▏ | 9/28 [00:06<00:12, 1.51it/s] 36%|███▌ | 10/28 [00:07<00:11, 1.52it/s] 39%|███▉ | 11/28 [00:07<00:11, 1.52it/s] 43%|████▎ | 12/28 [00:08<00:10, 1.52it/s] 46%|████▋ | 13/28 [00:09<00:09, 1.52it/s] 50%|█████ | 14/28 [00:09<00:09, 1.52it/s] 54%|█████▎ | 15/28 [00:10<00:08, 1.52it/s] 57%|█████▋ | 16/28 [00:11<00:07, 1.52it/s] 61%|██████ | 17/28 [00:11<00:07, 1.52it/s] 64%|██████▍ | 18/28 [00:12<00:06, 1.52it/s] 68%|██████▊ | 19/28 [00:13<00:05, 1.52it/s] 71%|███████▏ | 20/28 [00:13<00:05, 1.52it/s] 75%|███████▌ | 21/28 [00:14<00:04, 1.52it/s] 79%|███████▊ | 22/28 [00:14<00:03, 1.52it/s] 82%|████████▏ | 23/28 [00:15<00:03, 1.52it/s] 86%|████████▌ | 24/28 [00:16<00:02, 1.52it/s] 89%|████████▉ | 25/28 [00:16<00:01, 1.52it/s] 93%|█████████▎| 26/28 [00:17<00:01, 1.51it/s] 96%|█████████▋| 27/28 [00:18<00:00, 1.51it/s] 100%|██████████| 28/28 [00:18<00:00, 1.51it/s] 100%|██████████| 28/28 [00:18<00:00, 1.48it/s] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.7ms Speed: 3.4ms preprocess, 7.7ms inference, 32.5ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name lowra_v10 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:04, 2.63it/s] 15%|█▌ | 2/13 [00:00<00:03, 3.58it/s] 23%|██▎ | 3/13 [00:00<00:02, 4.12it/s] 31%|███ | 4/13 [00:00<00:02, 4.43it/s] 38%|███▊ | 5/13 [00:01<00:01, 4.63it/s] 46%|████▌ | 6/13 [00:01<00:01, 4.72it/s] 54%|█████▍ | 7/13 [00:01<00:01, 4.71it/s] 62%|██████▏ | 8/13 [00:01<00:01, 4.77it/s] 69%|██████▉ | 9/13 [00:02<00:00, 4.86it/s] 77%|███████▋ | 10/13 [00:02<00:00, 4.92it/s] 85%|████████▍ | 11/13 [00:02<00:00, 4.95it/s] 92%|█████████▏| 12/13 [00:02<00:00, 4.86it/s] 100%|██████████| 13/13 [00:02<00:00, 4.71it/s] 100%|██████████| 13/13 [00:02<00:00, 4.57it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.01s 0: 640x640 1 hand, 7.1ms Speed: 2.8ms preprocess, 7.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name lowra_v10 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:02, 5.06it/s] 15%|█▌ | 2/13 [00:00<00:02, 4.93it/s] 23%|██▎ | 3/13 [00:00<00:02, 4.89it/s] 31%|███ | 4/13 [00:00<00:01, 4.82it/s] 38%|███▊ | 5/13 [00:01<00:01, 4.91it/s] 46%|████▌ | 6/13 [00:01<00:01, 4.98it/s] 54%|█████▍ | 7/13 [00:01<00:01, 5.04it/s] 62%|██████▏ | 8/13 [00:01<00:00, 5.06it/s] 69%|██████▉ | 9/13 [00:01<00:00, 4.97it/s] 77%|███████▋ | 10/13 [00:02<00:00, 5.00it/s] 85%|████████▍ | 11/13 [00:02<00:00, 4.98it/s] 92%|█████████▏| 12/13 [00:02<00:00, 4.98it/s] 100%|██████████| 13/13 [00:02<00:00, 4.99it/s] 100%|██████████| 13/13 [00:02<00:00, 4.97it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 2.7ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name lowra_v10 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:02, 4.85it/s] 15%|█▌ | 2/13 [00:00<00:02, 4.98it/s] 23%|██▎ | 3/13 [00:00<00:01, 5.02it/s] 31%|███ | 4/13 [00:00<00:01, 4.78it/s] 38%|███▊ | 5/13 [00:01<00:01, 4.83it/s] 46%|████▌ | 6/13 [00:01<00:01, 4.80it/s] 54%|█████▍ | 7/13 [00:01<00:01, 4.87it/s] 62%|██████▏ | 8/13 [00:01<00:01, 4.87it/s] 69%|██████▉ | 9/13 [00:01<00:00, 4.92it/s] 77%|███████▋ | 10/13 [00:02<00:00, 4.94it/s] 85%|████████▍ | 11/13 [00:02<00:00, 4.89it/s] 92%|█████████▏| 12/13 [00:02<00:00, 4.95it/s] 100%|██████████| 13/13 [00:02<00:00, 4.99it/s] 100%|██████████| 13/13 [00:02<00:00, 4.91it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 6.8ms Speed: 2.7ms preprocess, 6.8ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name lowra_v10 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:02, 5.01it/s] 15%|█▌ | 2/13 [00:00<00:02, 4.98it/s] 23%|██▎ | 3/13 [00:00<00:01, 5.03it/s] 31%|███ | 4/13 [00:00<00:01, 4.97it/s] 38%|███▊ | 5/13 [00:01<00:01, 4.98it/s] 46%|████▌ | 6/13 [00:01<00:01, 4.99it/s] 54%|█████▍ | 7/13 [00:01<00:01, 4.99it/s] 62%|██████▏ | 8/13 [00:01<00:00, 5.01it/s] 69%|██████▉ | 9/13 [00:01<00:00, 4.92it/s] 77%|███████▋ | 10/13 [00:02<00:00, 4.98it/s] 85%|████████▍ | 11/13 [00:02<00:00, 5.01it/s] 92%|█████████▏| 12/13 [00:02<00:00, 4.96it/s] 100%|██████████| 13/13 [00:02<00:00, 4.90it/s] 100%|██████████| 13/13 [00:02<00:00, 4.96it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Couldn't find network with name lowra_v10 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:02, 4.97it/s] 15%|█▌ | 2/13 [00:00<00:02, 5.04it/s] 23%|██▎ | 3/13 [00:00<00:02, 4.97it/s] 31%|███ | 4/13 [00:00<00:01, 4.99it/s] 38%|███▊ | 5/13 [00:01<00:01, 5.00it/s] 46%|████▌ | 6/13 [00:01<00:01, 5.03it/s] 54%|█████▍ | 7/13 [00:01<00:01, 5.04it/s] 62%|██████▏ | 8/13 [00:01<00:01, 4.86it/s] 69%|██████▉ | 9/13 [00:01<00:00, 4.31it/s] 77%|███████▋ | 10/13 [00:02<00:00, 4.54it/s] 85%|████████▍ | 11/13 [00:02<00:00, 4.68it/s] 92%|█████████▏| 12/13 [00:02<00:00, 4.78it/s] 100%|██████████| 13/13 [00:02<00:00, 4.80it/s] 100%|██████████| 13/13 [00:02<00:00, 4.81it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 9.7ms Speed: 2.9ms preprocess, 9.7ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name lowra_v10 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:02, 4.91it/s] 15%|█▌ | 2/13 [00:00<00:02, 4.92it/s] 23%|██▎ | 3/13 [00:00<00:02, 4.97it/s] 31%|███ | 4/13 [00:00<00:01, 5.01it/s] 38%|███▊ | 5/13 [00:01<00:01, 4.99it/s] 46%|████▌ | 6/13 [00:01<00:01, 5.01it/s] 54%|█████▍ | 7/13 [00:01<00:01, 5.02it/s] 62%|██████▏ | 8/13 [00:01<00:01, 4.79it/s] 69%|██████▉ | 9/13 [00:01<00:00, 4.85it/s] 77%|███████▋ | 10/13 [00:02<00:00, 4.80it/s] 85%|████████▍ | 11/13 [00:02<00:00, 4.85it/s] 92%|█████████▏| 12/13 [00:02<00:00, 4.89it/s] 100%|██████████| 13/13 [00:02<00:00, 4.93it/s] 100%|██████████| 13/13 [00:02<00:00, 4.91it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.1ms Speed: 2.6ms preprocess, 7.1ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name lowra_v10 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:02, 4.89it/s] 15%|█▌ | 2/13 [00:00<00:02, 4.83it/s] 23%|██▎ | 3/13 [00:00<00:02, 4.97it/s] 31%|███ | 4/13 [00:00<00:01, 4.98it/s] 38%|███▊ | 5/13 [00:01<00:01, 4.98it/s] 46%|████▌ | 6/13 [00:01<00:01, 4.99it/s] 54%|█████▍ | 7/13 [00:01<00:01, 4.95it/s] 62%|██████▏ | 8/13 [00:01<00:01, 4.91it/s] 69%|██████▉ | 9/13 [00:01<00:00, 4.90it/s] 77%|███████▋ | 10/13 [00:02<00:00, 4.89it/s] 85%|████████▍ | 11/13 [00:02<00:00, 4.93it/s] 92%|█████████▏| 12/13 [00:02<00:00, 4.96it/s] 100%|██████████| 13/13 [00:02<00:00, 4.99it/s] 100%|██████████| 13/13 [00:02<00:00, 4.95it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 3.5ms preprocess, 7.4ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name lowra_v10 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:02, 4.89it/s] 15%|█▌ | 2/13 [00:00<00:02, 4.84it/s] 23%|██▎ | 3/13 [00:00<00:02, 4.84it/s] 31%|███ | 4/13 [00:00<00:01, 4.84it/s] 38%|███▊ | 5/13 [00:01<00:01, 4.73it/s] 46%|████▌ | 6/13 [00:01<00:01, 4.76it/s] 54%|█████▍ | 7/13 [00:01<00:01, 4.87it/s] 62%|██████▏ | 8/13 [00:01<00:01, 4.95it/s] 69%|██████▉ | 9/13 [00:01<00:00, 4.96it/s] 77%|███████▋ | 10/13 [00:02<00:00, 4.92it/s] 85%|████████▍ | 11/13 [00:02<00:00, 4.91it/s] 92%|█████████▏| 12/13 [00:02<00:00, 4.90it/s] 100%|██████████| 13/13 [00:02<00:00, 4.85it/s] 100%|██████████| 13/13 [00:02<00:00, 4.87it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 8.2ms Speed: 3.0ms preprocess, 8.2ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name lowra_v10 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:02, 4.64it/s] 15%|█▌ | 2/13 [00:00<00:02, 4.55it/s] 23%|██▎ | 3/13 [00:00<00:02, 4.61it/s] 31%|███ | 4/13 [00:00<00:01, 4.60it/s] 38%|███▊ | 5/13 [00:01<00:01, 4.62it/s] 46%|████▌ | 6/13 [00:01<00:01, 4.62it/s] 54%|█████▍ | 7/13 [00:01<00:01, 4.62it/s] 62%|██████▏ | 8/13 [00:01<00:01, 4.60it/s] 69%|██████▉ | 9/13 [00:01<00:00, 4.62it/s] 77%|███████▋ | 10/13 [00:02<00:00, 4.56it/s] 85%|████████▍ | 11/13 [00:02<00:00, 4.52it/s] 92%|█████████▏| 12/13 [00:02<00:00, 4.60it/s] 100%|██████████| 13/13 [00:02<00:00, 4.63it/s] 100%|██████████| 13/13 [00:02<00:00, 4.60it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Uploading outputs... Finished.