Romantic Girls with ZavyMix
Input
prompt
Specify things to see in the output
masterpiece, best quality, close-up of two girls kissing from below in an (enchanted:1.3) (magical:1.3) (garden), digital painting, 2girls, dreamlike, face focus, intricate details, sharp focus, trending on artstation, art by lois van baarle and loish and ross tran and rossdraws and sam yang and samis arts and artgerm, fairy tales, pixar, disney, dreamworks style, surrounded by magic on a dreamlike mountain, rendered in intricate detail in a digital painting with sharp focus, inspired by fairy tales and animated movies from pixar, Disney, and dreamworks, and created by the talented artists lois van baarle, Loish, Ross Tran, Rossdraws, sam yang, samis arts, and artgerm, Trending on Artstation, this artwork is sure to capture hearts with its delightful charm, unique pose, dynamic pose, <lora:more_details:0.8>, <lora:epiNoiseoffset_v2-pynoise:1.5>, <lora:LowRA:0.3>
negative_prompt
Specify things to not see in the output
(more than 2 girls), (facial hair, beard), malformed pupils, strange eyes, ugly, malformed face, naked, cleavage, nipples, breasts, cleavage, old, wrinkles, nsfw, erotic, text, watermark, 3d, cartoon, 3dcg, doll, illustration, lowres, bad anatomy, wrong anatomy, mutated hands and fingers, mutation, mutated, amputation, (two heads:1.7), art, conceptart, concept, render, cgi, painting, artstation, paintings, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, monochrome, grayscale, skin spots, acne, skin blemishes, age spots, glans, (blurry:1.2), duplicate, deformed, cartoon, animated, render, bad anatomy, multiple limbs, deformed toes, deformed legs, Amateur, Low rated, Phone, Wedding, Frame, Painting, tumblr, watermark, signature, ((hdr)), ((terragen)), ((rendering)), (high contrast), bad-hands-5, bad_prompt_version2
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
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0.75
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
0
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
30
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
kl-f8-anime2_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/6f99717581e741b38a83d333f12a0a40/00000-0.webp
https://files.tungsten.run/uploads/a1073f65e7224a808d1404cf5a66fc2a/00001-1.webp
https://files.tungsten.run/uploads/85df9dd469214b96a037e369873034e9/00002-2.webp
https://files.tungsten.run/uploads/40cb20cb926c4bb9bb5630f393fc5fdb/00003-3.webp
Finished in 62.9 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: masterpiece, best quality, close-up of two girls kissing from below in an (enchanted:1.3) (magical:1.3) (garden), digital painting, 2girls, dreamlike, face focus, intricate details, sharp focus, trending on artstation, art by lois van baarle and loish and ross tran and rossdraws and sam yang and samis arts and artgerm, fairy tales, pixar, disney, dreamworks style, surrounded by magic on a dreamlike mountain, rendered in intricate detail in a digital painting with sharp focus, inspired by fairy tales and animated movies from pixar, Disney, and dreamworks, and created by the talented artists lois van baarle, Loish, Ross Tran, Rossdraws, sam yang, samis arts, and artgerm, Trending on Artstation, this artwork is sure to capture hearts with its delightful charm, unique pose, dynamic pose, <lora:more_details:0.8>, <lora:epiNoiseoffset_v2-pynoise:1.5>, <lora:LowRA:0.3>, <lora:add_saturation:0.75> Full negative prompt: (more than 2 girls), (facial hair, beard), malformed pupils, strange eyes, ugly, malformed face, naked, cleavage, nipples, breasts, cleavage, old, wrinkles, nsfw, erotic, text, watermark, 3d, cartoon, 3dcg, doll, illustration, lowres, bad anatomy, wrong anatomy, mutated hands and fingers, mutation, mutated, amputation, (two heads:1.7), art, conceptart, concept, render, cgi, painting, artstation, paintings, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, monochrome, grayscale, skin spots, acne, skin blemishes, age spots, glans, (blurry:1.2), duplicate, deformed, cartoon, animated, render, bad anatomy, multiple limbs, deformed toes, deformed legs, Amateur, Low rated, Phone, Wedding, Frame, Painting, tumblr, watermark, signature, ((hdr)), ((terragen)), ((rendering)), (high contrast), bad-hands-5, bad_prompt_version2 Couldn't find network with name epiNoiseoffset_v2-pynoise Couldn't find network with name LowRA 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:38, 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cuda:0... done in 0.25s Move latents to cpu... done in 0.0s Couldn't find network with name epiNoiseoffset_v2-pynoise Couldn't find network with name LowRA 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 6.22it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.33it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.29it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.29it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.27it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.09it/s] 50%|█████ | 7/14 [00:01<00:01, 6.02it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.07it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.10it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.11it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.10it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.03it/s] 93%|█████████▎| 13/14 [00:02<00:00, 5.98it/s] 100%|██████████| 14/14 [00:02<00:00, 5.98it/s] 100%|██████████| 14/14 [00:02<00:00, 6.09it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Couldn't find network with name epiNoiseoffset_v2-pynoise Couldn't find network with name LowRA 0%| | 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86%|████████▌ | 12/14 [00:01<00:00, 6.04it/s] 93%|█████████▎| 13/14 [00:02<00:00, 5.97it/s] 100%|██████████| 14/14 [00:02<00:00, 6.00it/s] 100%|██████████| 14/14 [00:02<00:00, 6.07it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Couldn't find network with name epiNoiseoffset_v2-pynoise Couldn't find network with name LowRA 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 6.49it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.36it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.35it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.33it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.14it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.09it/s] 50%|█████ | 7/14 [00:01<00:01, 6.14it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.09it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.14it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.16it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.11it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.06it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.06it/s] 100%|██████████| 14/14 [00:02<00:00, 6.13it/s] 100%|██████████| 14/14 [00:02<00:00, 6.15it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Couldn't find network with name epiNoiseoffset_v2-pynoise Couldn't find network with name LowRA 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.75it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.47it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.42it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.41it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.41it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.22it/s] 50%|█████ | 7/14 [00:01<00:01, 6.10it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.12it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.17it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.15it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.20it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.04it/s] 93%|█████████▎| 13/14 [00:02<00:00, 5.99it/s] 100%|██████████| 14/14 [00:02<00:00, 6.04it/s] 100%|██████████| 14/14 [00:02<00:00, 6.17it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Couldn't find network with name epiNoiseoffset_v2-pynoise Couldn't find network with name LowRA 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 6.44it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.38it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.34it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.35it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.15it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.09it/s] 50%|█████ | 7/14 [00:01<00:01, 6.15it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.20it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.25it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.28it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.20it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.11it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.14it/s] 100%|██████████| 14/14 [00:02<00:00, 6.21it/s] 100%|██████████| 14/14 [00:02<00:00, 6.21it/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. Couldn't find network with name epiNoiseoffset_v2-pynoise Couldn't find network with name LowRA
prompt
Specify things to see in the output
masterpiece, best quality, close-up of two girls kissing from below in an (enchanted:1.3) (magical:1.3) (garden), digital painting, 2girls, dreamlike, face focus, intricate details, sharp focus, trending on artstation, art by lois van baarle and loish and ross tran and rossdraws and sam yang and samis arts and artgerm, fairy tales, pixar, disney, dreamworks style, surrounded by magic on a dreamlike mountain, rendered in intricate detail in a digital painting with sharp focus, inspired by fairy tales and animated movies from pixar, Disney, and dreamworks, and created by the talented artists lois van baarle, Loish, Ross Tran, Rossdraws, sam yang, samis arts, and artgerm, Trending on Artstation, this artwork is sure to capture hearts with its delightful charm, unique pose, dynamic pose, <lora:more_details:0.8>, <lora:epiNoiseoffset_v2-pynoise:1.5>, <lora:LowRA:0.3>
negative_prompt
Specify things to not see in the output
(more than 2 girls), (facial hair, beard), malformed pupils, strange eyes, ugly, malformed face, naked, cleavage, nipples, breasts, cleavage, old, wrinkles, nsfw, erotic, text, watermark, 3d, cartoon, 3dcg, doll, illustration, lowres, bad anatomy, wrong anatomy, mutated hands and fingers, mutation, mutated, amputation, (two heads:1.7), art, conceptart, concept, render, cgi, painting, artstation, paintings, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, monochrome, grayscale, skin spots, acne, skin blemishes, age spots, glans, (blurry:1.2), duplicate, deformed, cartoon, animated, render, bad anatomy, multiple limbs, deformed toes, deformed legs, Amateur, Low rated, Phone, Wedding, Frame, Painting, tumblr, watermark, signature, ((hdr)), ((terragen)), ((rendering)), (high contrast), bad-hands-5, bad_prompt_version2
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
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0.75
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
0
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
30
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
kl-f8-anime2_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/6f99717581e741b38a83d333f12a0a40/00000-0.webp
https://files.tungsten.run/uploads/a1073f65e7224a808d1404cf5a66fc2a/00001-1.webp
https://files.tungsten.run/uploads/85df9dd469214b96a037e369873034e9/00002-2.webp
https://files.tungsten.run/uploads/40cb20cb926c4bb9bb5630f393fc5fdb/00003-3.webp
Finished in 62.9 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: masterpiece, best quality, close-up of two girls kissing from below in an (enchanted:1.3) (magical:1.3) (garden), digital painting, 2girls, dreamlike, face focus, intricate details, sharp focus, trending on artstation, art by lois van baarle and loish and ross tran and rossdraws and sam yang and samis arts and artgerm, fairy tales, pixar, disney, dreamworks style, surrounded by magic on a dreamlike mountain, rendered in intricate detail in a digital painting with sharp focus, inspired by fairy tales and animated movies from pixar, Disney, and dreamworks, and created by the talented artists lois van baarle, Loish, Ross Tran, Rossdraws, sam yang, samis arts, and artgerm, Trending on Artstation, this artwork is sure to capture hearts with its delightful charm, unique pose, dynamic pose, <lora:more_details:0.8>, <lora:epiNoiseoffset_v2-pynoise:1.5>, <lora:LowRA:0.3>, <lora:add_saturation:0.75> Full negative prompt: (more than 2 girls), (facial hair, beard), malformed pupils, strange eyes, ugly, malformed face, naked, cleavage, nipples, breasts, cleavage, old, wrinkles, nsfw, erotic, text, watermark, 3d, cartoon, 3dcg, doll, illustration, lowres, bad anatomy, wrong anatomy, mutated hands and fingers, mutation, mutated, amputation, (two heads:1.7), art, conceptart, concept, render, cgi, painting, artstation, paintings, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, monochrome, grayscale, skin spots, acne, skin blemishes, age spots, glans, (blurry:1.2), duplicate, deformed, cartoon, animated, render, bad anatomy, multiple limbs, deformed toes, deformed legs, Amateur, Low rated, Phone, Wedding, Frame, Painting, tumblr, watermark, signature, ((hdr)), ((terragen)), ((rendering)), (high contrast), bad-hands-5, bad_prompt_version2 Couldn't find network with name epiNoiseoffset_v2-pynoise Couldn't find network with name LowRA 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:38, 1.34s/it] 7%|▋ | 2/30 [00:02<00:26, 1.04it/s] 10%|█ | 3/30 [00:02<00:22, 1.20it/s] 13%|█▎ | 4/30 [00:03<00:20, 1.29it/s] 17%|█▋ | 5/30 [00:04<00:18, 1.34it/s] 20%|██ | 6/30 [00:04<00:17, 1.37it/s] 23%|██▎ | 7/30 [00:05<00:16, 1.39it/s] 27%|██▋ | 8/30 [00:06<00:15, 1.41it/s] 30%|███ | 9/30 [00:06<00:14, 1.42it/s] 33%|███▎ | 10/30 [00:07<00:14, 1.42it/s] 37%|███▋ | 11/30 [00:08<00:13, 1.42it/s] 40%|████ | 12/30 [00:08<00:12, 1.42it/s] 43%|████▎ | 13/30 [00:09<00:12, 1.41it/s] 47%|████▋ | 14/30 [00:10<00:11, 1.42it/s] 50%|█████ | 15/30 [00:11<00:10, 1.42it/s] 53%|█████▎ | 16/30 [00:11<00:09, 1.42it/s] 57%|█████▋ | 17/30 [00:12<00:09, 1.42it/s] 60%|██████ | 18/30 [00:13<00:08, 1.42it/s] 63%|██████▎ | 19/30 [00:13<00:07, 1.42it/s] 67%|██████▋ | 20/30 [00:14<00:07, 1.42it/s] 70%|███████ | 21/30 [00:15<00:06, 1.42it/s] 73%|███████▎ | 22/30 [00:16<00:05, 1.41it/s] 77%|███████▋ | 23/30 [00:16<00:04, 1.41it/s] 80%|████████ | 24/30 [00:17<00:04, 1.41it/s] 83%|████████▎ | 25/30 [00:18<00:03, 1.40it/s] 87%|████████▋ | 26/30 [00:18<00:02, 1.39it/s] 90%|█████████ | 27/30 [00:19<00:02, 1.39it/s] 93%|█████████▎| 28/30 [00:20<00:01, 1.39it/s] 97%|█████████▋| 29/30 [00:21<00:00, 1.39it/s] 100%|██████████| 30/30 [00:21<00:00, 1.39it/s] 100%|██████████| 30/30 [00:21<00:00, 1.38it/s] Decoding latents in cuda:0... done in 1.01s Move latents to cpu... done in 0.01s Couldn't find network with name epiNoiseoffset_v2-pynoise Couldn't find network with name LowRA 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.63it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.25it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.23it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.19it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.16it/s] 43%|████▎ | 6/14 [00:00<00:01, 5.97it/s] 50%|█████ | 7/14 [00:01<00:01, 5.91it/s] 57%|█████▋ | 8/14 [00:01<00:01, 5.94it/s] 64%|██████▍ | 9/14 [00:01<00:00, 5.99it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.05it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.06it/s] 86%|████████▌ | 12/14 [00:01<00:00, 5.94it/s] 93%|█████████▎| 13/14 [00:02<00:00, 5.92it/s] 100%|██████████| 14/14 [00:02<00:00, 5.94it/s] 100%|██████████| 14/14 [00:02<00:00, 6.02it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s Couldn't find network with name epiNoiseoffset_v2-pynoise Couldn't find network with name LowRA 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 6.46it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.39it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.33it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.29it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.10it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.02it/s] 50%|█████ | 7/14 [00:01<00:01, 6.08it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.15it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.16it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.13it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.06it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.02it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.04it/s] 100%|██████████| 14/14 [00:02<00:00, 6.07it/s] 100%|██████████| 14/14 [00:02<00:00, 6.12it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s Couldn't find network with name epiNoiseoffset_v2-pynoise Couldn't find network with name LowRA 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 6.22it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.33it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.29it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.29it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.27it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.09it/s] 50%|█████ | 7/14 [00:01<00:01, 6.02it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.07it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.10it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.11it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.10it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.03it/s] 93%|█████████▎| 13/14 [00:02<00:00, 5.98it/s] 100%|██████████| 14/14 [00:02<00:00, 5.98it/s] 100%|██████████| 14/14 [00:02<00:00, 6.09it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Couldn't find network with name epiNoiseoffset_v2-pynoise Couldn't find network with name LowRA 0%| | 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[00:00<00:01, 6.20it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.04it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.00it/s] 50%|█████ | 7/14 [00:01<00:01, 5.90it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.02it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.09it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.15it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.09it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.06it/s] 93%|█████████▎| 13/14 [00:02<00:00, 5.95it/s] 100%|██████████| 14/14 [00:02<00:00, 6.04it/s] 100%|██████████| 14/14 [00:02<00:00, 6.06it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Couldn't find network with name epiNoiseoffset_v2-pynoise Couldn't find network with name LowRA 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.58it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.38it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.32it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.30it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.21it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.06it/s] 50%|█████ | 7/14 [00:01<00:01, 6.00it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.06it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.13it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.18it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.21it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.16it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.07it/s] 100%|██████████| 14/14 [00:02<00:00, 6.08it/s] 100%|██████████| 14/14 [00:02<00:00, 6.15it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Couldn't find network with name epiNoiseoffset_v2-pynoise Couldn't find network with name LowRA 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 6.26it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.30it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.24it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.25it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.05it/s] 43%|████▎ | 6/14 [00:00<00:01, 5.87it/s] 50%|█████ | 7/14 [00:01<00:01, 6.03it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.10it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.13it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.15it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.08it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.04it/s] 93%|█████████▎| 13/14 [00:02<00:00, 5.97it/s] 100%|██████████| 14/14 [00:02<00:00, 6.00it/s] 100%|██████████| 14/14 [00:02<00:00, 6.07it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Couldn't find network with name epiNoiseoffset_v2-pynoise Couldn't find network with name LowRA 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 6.49it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.36it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.35it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.33it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.14it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.09it/s] 50%|█████ | 7/14 [00:01<00:01, 6.14it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.09it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.14it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.16it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.11it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.06it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.06it/s] 100%|██████████| 14/14 [00:02<00:00, 6.13it/s] 100%|██████████| 14/14 [00:02<00:00, 6.15it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Couldn't find network with name epiNoiseoffset_v2-pynoise Couldn't find network with name LowRA 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.75it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.47it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.42it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.41it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.41it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.22it/s] 50%|█████ | 7/14 [00:01<00:01, 6.10it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.12it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.17it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.15it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.20it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.04it/s] 93%|█████████▎| 13/14 [00:02<00:00, 5.99it/s] 100%|██████████| 14/14 [00:02<00:00, 6.04it/s] 100%|██████████| 14/14 [00:02<00:00, 6.17it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Couldn't find network with name epiNoiseoffset_v2-pynoise Couldn't find network with name LowRA 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 6.44it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.38it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.34it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.35it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.15it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.09it/s] 50%|█████ | 7/14 [00:01<00:01, 6.15it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.20it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.25it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.28it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.20it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.11it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.14it/s] 100%|██████████| 14/14 [00:02<00:00, 6.21it/s] 100%|██████████| 14/14 [00:02<00:00, 6.21it/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. Couldn't find network with name epiNoiseoffset_v2-pynoise Couldn't find network with name LowRA