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Inminent Kiss with Zavy Mix
zavymix:v1.0
evevalentine2017
evevalentine2017
·
12/08/2023
358
Input
prompt
Specify things to see in the output
masterpiece, best quality, close-up of ((two girls) (kissing each other), 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:add_detail:0.7>, <lora:epiNoiseoffset_v2-pynoise:1.5>, <lora:LowRA:0.3>
negative_prompt
Specify things to not see in the output
(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-neg
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
num_outputs
Number of output images
4
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2801804228
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
40
cfg_scale
Scale for classifier-free guidance
8.5
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>
LowRA.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
epi_noiseoffset2.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
add_detail.safetensors
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)
bad_prompt_version2-neg.pt
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/0675bc10be8147b6ae67f2f4809351a4/00000-2801804228.png
https://files.tungsten.run/uploads/4a8f137de8bc4b71b60d550c9de0a388/00001-2801804229.png
https://files.tungsten.run/uploads/e47e48f9983a4b89b6ddc09ca5ba342b/00002-2801804230.png
https://files.tungsten.run/uploads/0a7e6f847d8f4afc9a56aed86bb55180/00003-2801804231.png
Finished in 95.3 seconds
v1.0: Pulling from evevalentine2017/zavymix 578acb154839: Already exists ac65017cfc56: Already exists 146269b80f9c: Already exists b51bc62cc3ca: Already exists 4ba34dd48a55: Already exists 2c0d7edf2b4f: Already exists bd3aa092d934: Already exists a2a0b079260c: Already exists 48e8a1cea0b1: Already exists 607175607db9: Already exists 44762e60be28: Already exists d1e8a6995bc7: Already exists 8915fc22d7d8: Already exists e186b03af121: Already exists 4f4fb700ef54: Already exists 235071021718: Already exists 647481154c61: Pull complete 43a9cf82a994: Pull complete 8e5f2aac89d9: Pull complete Setting up the model... Processing... Full prompt: masterpiece, best quality, close-up of ((two girls) (kissing each other), 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:epiNoiseoffset_v2-pynoise:1.5>, <lora:LowRA:0.3>, (masterpiece:1.5), (ultra realistic:1.5), (best quality.15) Full negative prompt: (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-neg Couldn't find network with name epiNoiseoffset_v2-pynoise 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<00:47, 1.22s/it] 5%|▌ | 2/40 [00:01<00:33, 1.15it/s] 8%|▊ | 3/40 [00:02<00:28, 1.31it/s] 10%|█ | 4/40 [00:03<00:25, 1.40it/s] 12%|█▎ | 5/40 [00:03<00:23, 1.46it/s] 15%|█▌ | 6/40 [00:04<00:22, 1.49it/s] 18%|█▊ | 7/40 [00:05<00:21, 1.51it/s] 20%|██ | 8/40 [00:05<00:20, 1.53it/s] 22%|██▎ | 9/40 [00:06<00:20, 1.54it/s] 25%|██▌ | 10/40 [00:06<00:19, 1.55it/s] 28%|██▊ | 11/40 [00:07<00:18, 1.55it/s] 30%|███ | 12/40 [00:08<00:18, 1.56it/s] 32%|███▎ | 13/40 [00:08<00:17, 1.56it/s] 35%|███▌ | 14/40 [00:09<00:16, 1.56it/s] 38%|███▊ | 15/40 [00:10<00:16, 1.56it/s] 40%|████ | 16/40 [00:10<00:15, 1.56it/s] 42%|████▎ | 17/40 [00:11<00:14, 1.56it/s] 45%|████▌ | 18/40 [00:12<00:14, 1.56it/s] 48%|████▊ | 19/40 [00:12<00:13, 1.56it/s] 50%|█████ | 20/40 [00:13<00:12, 1.56it/s] 52%|█████▎ | 21/40 [00:13<00:12, 1.56it/s] 55%|█████▌ | 22/40 [00:14<00:11, 1.56it/s] 57%|█████▊ | 23/40 [00:15<00:10, 1.56it/s] 60%|██████ | 24/40 [00:15<00:10, 1.56it/s] 62%|██████▎ | 25/40 [00:16<00:09, 1.56it/s] 65%|██████▌ | 26/40 [00:17<00:09, 1.55it/s] 68%|██████▊ | 27/40 [00:17<00:08, 1.56it/s] 70%|███████ | 28/40 [00:18<00:07, 1.56it/s] 72%|███████▎ | 29/40 [00:19<00:07, 1.56it/s] 75%|███████▌ | 30/40 [00:19<00:06, 1.56it/s] 78%|███████▊ | 31/40 [00:20<00:05, 1.56it/s] 80%|████████ | 32/40 [00:21<00:05, 1.56it/s] 82%|████████▎ | 33/40 [00:21<00:04, 1.56it/s] 85%|████████▌ | 34/40 [00:22<00:03, 1.56it/s] 88%|████████▊ | 35/40 [00:22<00:03, 1.56it/s] 90%|█████████ | 36/40 [00:23<00:02, 1.56it/s] 92%|█████████▎| 37/40 [00:24<00:01, 1.56it/s] 95%|█████████▌| 38/40 [00:24<00:01, 1.56it/s] 98%|█████████▊| 39/40 [00:25<00:00, 1.56it/s] 100%|██████████| 40/40 [00:26<00:00, 1.56it/s] 100%|██████████| 40/40 [00:26<00:00, 1.53it/s] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.02s 0: 640x640 2 faces, 8.0ms Speed: 3.6ms preprocess, 8.0ms inference, 33.2ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name epiNoiseoffset_v2-pynoise 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:06, 3.28it/s] 9%|▊ | 2/23 [00:00<00:04, 4.76it/s] 13%|█▎ | 3/23 [00:00<00:03, 5.50it/s] 17%|█▋ | 4/23 [00:00<00:03, 5.93it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.22it/s] 26%|██▌ | 6/23 [00:01<00:02, 6.35it/s] 30%|███ | 7/23 [00:01<00:02, 6.39it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.41it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.47it/s] 43%|████▎ | 10/23 [00:01<00:01, 6.54it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.59it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.62it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.60it/s] 61%|██████ | 14/23 [00:02<00:01, 6.55it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.57it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.59it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.63it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.66it/s] 83%|████████▎ | 19/23 [00:03<00:00, 6.64it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.59it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.55it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.58it/s] 100%|██████████| 23/23 [00:03<00:00, 6.60it/s] 100%|██████████| 23/23 [00:03<00:00, 6.35it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Couldn't find network with name epiNoiseoffset_v2-pynoise 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.95it/s] 9%|▊ | 2/23 [00:00<00:03, 6.83it/s] 13%|█▎ | 3/23 [00:00<00:02, 6.79it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.77it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.68it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.61it/s] 30%|███ | 7/23 [00:01<00:02, 6.56it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.58it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.62it/s] 43%|████▎ | 10/23 [00:01<00:01, 6.66it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.64it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.60it/s] 57%|█████▋ | 13/23 [00:01<00:01, 6.56it/s] 61%|██████ | 14/23 [00:02<00:01, 6.55it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.59it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.62it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.65it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.62it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.60it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.57it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.56it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.59it/s] 100%|██████████| 23/23 [00:03<00:00, 6.63it/s] 100%|██████████| 23/23 [00:03<00:00, 6.63it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.5ms Speed: 2.8ms preprocess, 7.5ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name epiNoiseoffset_v2-pynoise 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 7.11it/s] 9%|▊ | 2/23 [00:00<00:03, 6.90it/s] 13%|█▎ | 3/23 [00:00<00:02, 6.83it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.81it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.77it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.68it/s] 30%|███ | 7/23 [00:01<00:02, 6.60it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.53it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.57it/s] 43%|████▎ | 10/23 [00:01<00:01, 6.59it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.63it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.63it/s] 57%|█████▋ | 13/23 [00:01<00:01, 6.61it/s] 61%|██████ | 14/23 [00:02<00:01, 6.56it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.55it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.58it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.58it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.60it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.57it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.56it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.56it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.55it/s] 100%|██████████| 23/23 [00:03<00:00, 6.57it/s] 100%|██████████| 23/23 [00:03<00:00, 6.62it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 faces, 7.8ms Speed: 2.6ms preprocess, 7.8ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name epiNoiseoffset_v2-pynoise 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 7.04it/s] 9%|▊ | 2/23 [00:00<00:03, 6.86it/s] 13%|█▎ | 3/23 [00:00<00:02, 6.77it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.74it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.69it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.64it/s] 30%|███ | 7/23 [00:01<00:02, 6.58it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.52it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.56it/s] 43%|████▎ | 10/23 [00:01<00:01, 6.56it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.61it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.60it/s] 57%|█████▋ | 13/23 [00:01<00:01, 6.56it/s] 61%|██████ | 14/23 [00:02<00:01, 6.54it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.54it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.55it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.60it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.60it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.60it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.58it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.57it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.58it/s] 100%|██████████| 23/23 [00:03<00:00, 6.57it/s] 100%|██████████| 23/23 [00:03<00:00, 6.60it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Couldn't find network with name epiNoiseoffset_v2-pynoise 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.90it/s] 9%|▊ | 2/23 [00:00<00:03, 6.79it/s] 13%|█▎ | 3/23 [00:00<00:02, 6.77it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.76it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.66it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.57it/s] 30%|███ | 7/23 [00:01<00:02, 6.52it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.54it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.57it/s] 43%|████▎ | 10/23 [00:01<00:01, 6.60it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.60it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.56it/s] 57%|█████▋ | 13/23 [00:01<00:01, 6.53it/s] 61%|██████ | 14/23 [00:02<00:01, 6.52it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.56it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.58it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.61it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.57it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.54it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.53it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.53it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.56it/s] 100%|██████████| 23/23 [00:03<00:00, 6.60it/s] 100%|██████████| 23/23 [00:03<00:00, 6.59it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 3 hands, 7.3ms Speed: 2.6ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name epiNoiseoffset_v2-pynoise 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.96it/s] 9%|▊ | 2/23 [00:00<00:03, 6.82it/s] 13%|█▎ | 3/23 [00:00<00:02, 6.76it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.73it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.73it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.65it/s] 30%|███ | 7/23 [00:01<00:02, 6.57it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.50it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.51it/s] 43%|████▎ | 10/23 [00:01<00:01, 6.54it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.59it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.60it/s] 57%|█████▋ | 13/23 [00:01<00:01, 6.57it/s] 61%|██████ | 14/23 [00:02<00:01, 6.53it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.42it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.47it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.49it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.53it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.52it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.52it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.50it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.53it/s] 100%|██████████| 23/23 [00:03<00:00, 6.56it/s] 100%|██████████| 23/23 [00:03<00:00, 6.56it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Couldn't find network with name epiNoiseoffset_v2-pynoise 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.84it/s] 9%|▊ | 2/23 [00:00<00:03, 6.64it/s] 13%|█▎ | 3/23 [00:00<00:03, 6.66it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.68it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.62it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.54it/s] 30%|███ | 7/23 [00:01<00:02, 6.50it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.50it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.55it/s] 43%|████▎ | 10/23 [00:01<00:01, 6.59it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.59it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.57it/s] 57%|█████▋ | 13/23 [00:01<00:01, 6.51it/s] 61%|██████ | 14/23 [00:02<00:01, 6.53it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.55it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.56it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.58it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.56it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.54it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.52it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.53it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.52it/s] 100%|██████████| 23/23 [00:03<00:00, 6.53it/s] 100%|██████████| 23/23 [00:03<00:00, 6.56it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Couldn't find network with name epiNoiseoffset_v2-pynoise 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.86it/s] 9%|▊ | 2/23 [00:00<00:03, 6.76it/s] 13%|█▎ | 3/23 [00:00<00:02, 6.72it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.70it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.61it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.55it/s] 30%|███ | 7/23 [00:01<00:02, 6.50it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.53it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.44it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.49it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.51it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.49it/s] 57%|█████▋ | 13/23 [00:01<00:01, 6.48it/s] 61%|██████ | 14/23 [00:02<00:01, 6.49it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.52it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.58it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.61it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.60it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.58it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.54it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.56it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.59it/s] 100%|██████████| 23/23 [00:03<00:00, 6.61it/s] 100%|██████████| 23/23 [00:03<00:00, 6.57it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 faces, 7.7ms Speed: 3.3ms preprocess, 7.7ms inference, 2.3ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name epiNoiseoffset_v2-pynoise 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 7.00it/s] 9%|▊ | 2/23 [00:00<00:03, 6.81it/s] 13%|█▎ | 3/23 [00:00<00:02, 6.74it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.70it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.57it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.55it/s] 30%|███ | 7/23 [00:01<00:02, 6.50it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.48it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.52it/s] 43%|████▎ | 10/23 [00:01<00:01, 6.58it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.59it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.51it/s] 57%|█████▋ | 13/23 [00:01<00:01, 6.50it/s] 61%|██████ | 14/23 [00:02<00:01, 6.47it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.50it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.54it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.56it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.58it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.56it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.54it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.52it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.54it/s] 100%|██████████| 23/23 [00:03<00:00, 6.55it/s] 100%|██████████| 23/23 [00:03<00:00, 6.56it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Couldn't find network with name epiNoiseoffset_v2-pynoise 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.91it/s] 9%|▊ | 2/23 [00:00<00:03, 6.77it/s] 13%|█▎ | 3/23 [00:00<00:02, 6.71it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.73it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.62it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.55it/s] 30%|███ | 7/23 [00:01<00:02, 6.49it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.53it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.58it/s] 43%|████▎ | 10/23 [00:01<00:01, 6.62it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.61it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.57it/s] 57%|█████▋ | 13/23 [00:01<00:01, 6.51it/s] 61%|██████ | 14/23 [00:02<00:01, 6.50it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.53it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.58it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.59it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.57it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.53it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.51it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.52it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.53it/s] 100%|██████████| 23/23 [00:03<00:00, 6.55it/s] 100%|██████████| 23/23 [00:03<00:00, 6.57it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.7ms Speed: 2.9ms preprocess, 7.7ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name epiNoiseoffset_v2-pynoise 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 7.02it/s] 9%|▊ | 2/23 [00:00<00:03, 6.83it/s] 13%|█▎ | 3/23 [00:00<00:02, 6.75it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.72it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.69it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.63it/s] 30%|███ | 7/23 [00:01<00:02, 6.53it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.47it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.51it/s] 43%|████▎ | 10/23 [00:01<00:01, 6.57it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.60it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.60it/s] 57%|█████▋ | 13/23 [00:01<00:01, 6.57it/s] 61%|██████ | 14/23 [00:02<00:01, 6.52it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.51it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.52it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.53it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.55it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.56it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.50it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.50it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.51it/s] 100%|██████████| 23/23 [00:03<00:00, 6.53it/s] 100%|██████████| 23/23 [00:03<00:00, 6.57it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 faces, 7.8ms Speed: 2.7ms preprocess, 7.8ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name epiNoiseoffset_v2-pynoise 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.99it/s] 9%|▊ | 2/23 [00:00<00:03, 6.82it/s] 13%|█▎ | 3/23 [00:00<00:02, 6.75it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.74it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.72it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.62it/s] 30%|███ | 7/23 [00:01<00:02, 6.52it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.49it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.52it/s] 43%|████▎ | 10/23 [00:01<00:01, 6.56it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.58it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.60it/s] 57%|█████▋ | 13/23 [00:01<00:01, 6.56it/s] 61%|██████ | 14/23 [00:02<00:01, 6.51it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.52it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.53it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.53it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.56it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.55it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.51it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.52it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.52it/s] 100%|██████████| 23/23 [00:03<00:00, 6.48it/s] 100%|██████████| 23/23 [00:03<00:00, 6.56it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Couldn't find network with name epiNoiseoffset_v2-pynoise 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.85it/s] 9%|▊ | 2/23 [00:00<00:03, 6.76it/s] 13%|█▎ | 3/23 [00:00<00:02, 6.71it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.71it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.59it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.51it/s] 30%|███ | 7/23 [00:01<00:02, 6.48it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.52it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.56it/s] 43%|████▎ | 10/23 [00:01<00:01, 6.57it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.56it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.51it/s] 57%|█████▋ | 13/23 [00:01<00:01, 6.46it/s] 61%|██████ | 14/23 [00:02<00:01, 6.46it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.51it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.54it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.55it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.52it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.48it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.46it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.49it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.52it/s] 100%|██████████| 23/23 [00:03<00:00, 6.54it/s] 100%|██████████| 23/23 [00:03<00:00, 6.54it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.4ms Speed: 2.8ms preprocess, 7.4ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Finished.
prompt
Specify things to see in the output
masterpiece, best quality, close-up of ((two girls) (kissing each other), 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:add_detail:0.7>, <lora:epiNoiseoffset_v2-pynoise:1.5>, <lora:LowRA:0.3>
negative_prompt
Specify things to not see in the output
(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-neg
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
num_outputs
Number of output images
4
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2801804228
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
40
cfg_scale
Scale for classifier-free guidance
8.5
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>
LowRA.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
epi_noiseoffset2.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
add_detail.safetensors
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)
bad_prompt_version2-neg.pt
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/0675bc10be8147b6ae67f2f4809351a4/00000-2801804228.png
https://files.tungsten.run/uploads/4a8f137de8bc4b71b60d550c9de0a388/00001-2801804229.png
https://files.tungsten.run/uploads/e47e48f9983a4b89b6ddc09ca5ba342b/00002-2801804230.png
https://files.tungsten.run/uploads/0a7e6f847d8f4afc9a56aed86bb55180/00003-2801804231.png
Finished in 95.3 seconds
v1.0: Pulling from evevalentine2017/zavymix 578acb154839: Already exists ac65017cfc56: Already exists 146269b80f9c: Already exists b51bc62cc3ca: Already exists 4ba34dd48a55: Already exists 2c0d7edf2b4f: Already exists bd3aa092d934: Already exists a2a0b079260c: Already exists 48e8a1cea0b1: Already exists 607175607db9: Already exists 44762e60be28: Already exists d1e8a6995bc7: Already exists 8915fc22d7d8: Already exists e186b03af121: Already exists 4f4fb700ef54: Already exists 235071021718: Already exists 647481154c61: Pull complete 43a9cf82a994: Pull complete 8e5f2aac89d9: Pull complete Setting up the model... Processing... Full prompt: masterpiece, best quality, close-up of ((two girls) (kissing each other), 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:epiNoiseoffset_v2-pynoise:1.5>, <lora:LowRA:0.3>, (masterpiece:1.5), (ultra realistic:1.5), (best quality.15) Full negative prompt: (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-neg Couldn't find network with name epiNoiseoffset_v2-pynoise 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<00:47, 1.22s/it] 5%|▌ | 2/40 [00:01<00:33, 1.15it/s] 8%|▊ | 3/40 [00:02<00:28, 1.31it/s] 10%|█ | 4/40 [00:03<00:25, 1.40it/s] 12%|█▎ | 5/40 [00:03<00:23, 1.46it/s] 15%|█▌ | 6/40 [00:04<00:22, 1.49it/s] 18%|█▊ | 7/40 [00:05<00:21, 1.51it/s] 20%|██ | 8/40 [00:05<00:20, 1.53it/s] 22%|██▎ | 9/40 [00:06<00:20, 1.54it/s] 25%|██▌ | 10/40 [00:06<00:19, 1.55it/s] 28%|██▊ | 11/40 [00:07<00:18, 1.55it/s] 30%|███ | 12/40 [00:08<00:18, 1.56it/s] 32%|███▎ | 13/40 [00:08<00:17, 1.56it/s] 35%|███▌ | 14/40 [00:09<00:16, 1.56it/s] 38%|███▊ | 15/40 [00:10<00:16, 1.56it/s] 40%|████ | 16/40 [00:10<00:15, 1.56it/s] 42%|████▎ | 17/40 [00:11<00:14, 1.56it/s] 45%|████▌ | 18/40 [00:12<00:14, 1.56it/s] 48%|████▊ | 19/40 [00:12<00:13, 1.56it/s] 50%|█████ | 20/40 [00:13<00:12, 1.56it/s] 52%|█████▎ | 21/40 [00:13<00:12, 1.56it/s] 55%|█████▌ | 22/40 [00:14<00:11, 1.56it/s] 57%|█████▊ | 23/40 [00:15<00:10, 1.56it/s] 60%|██████ | 24/40 [00:15<00:10, 1.56it/s] 62%|██████▎ | 25/40 [00:16<00:09, 1.56it/s] 65%|██████▌ | 26/40 [00:17<00:09, 1.55it/s] 68%|██████▊ | 27/40 [00:17<00:08, 1.56it/s] 70%|███████ | 28/40 [00:18<00:07, 1.56it/s] 72%|███████▎ | 29/40 [00:19<00:07, 1.56it/s] 75%|███████▌ | 30/40 [00:19<00:06, 1.56it/s] 78%|███████▊ | 31/40 [00:20<00:05, 1.56it/s] 80%|████████ | 32/40 [00:21<00:05, 1.56it/s] 82%|████████▎ | 33/40 [00:21<00:04, 1.56it/s] 85%|████████▌ | 34/40 [00:22<00:03, 1.56it/s] 88%|████████▊ | 35/40 [00:22<00:03, 1.56it/s] 90%|█████████ | 36/40 [00:23<00:02, 1.56it/s] 92%|█████████▎| 37/40 [00:24<00:01, 1.56it/s] 95%|█████████▌| 38/40 [00:24<00:01, 1.56it/s] 98%|█████████▊| 39/40 [00:25<00:00, 1.56it/s] 100%|██████████| 40/40 [00:26<00:00, 1.56it/s] 100%|██████████| 40/40 [00:26<00:00, 1.53it/s] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.02s 0: 640x640 2 faces, 8.0ms Speed: 3.6ms preprocess, 8.0ms inference, 33.2ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name epiNoiseoffset_v2-pynoise 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:06, 3.28it/s] 9%|▊ | 2/23 [00:00<00:04, 4.76it/s] 13%|█▎ | 3/23 [00:00<00:03, 5.50it/s] 17%|█▋ | 4/23 [00:00<00:03, 5.93it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.22it/s] 26%|██▌ | 6/23 [00:01<00:02, 6.35it/s] 30%|███ | 7/23 [00:01<00:02, 6.39it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.41it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.47it/s] 43%|████▎ | 10/23 [00:01<00:01, 6.54it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.59it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.62it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.60it/s] 61%|██████ | 14/23 [00:02<00:01, 6.55it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.57it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.59it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.63it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.66it/s] 83%|████████▎ | 19/23 [00:03<00:00, 6.64it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.59it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.55it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.58it/s] 100%|██████████| 23/23 [00:03<00:00, 6.60it/s] 100%|██████████| 23/23 [00:03<00:00, 6.35it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Couldn't find network with name epiNoiseoffset_v2-pynoise 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.95it/s] 9%|▊ | 2/23 [00:00<00:03, 6.83it/s] 13%|█▎ | 3/23 [00:00<00:02, 6.79it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.77it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.68it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.61it/s] 30%|███ | 7/23 [00:01<00:02, 6.56it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.58it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.62it/s] 43%|████▎ | 10/23 [00:01<00:01, 6.66it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.64it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.60it/s] 57%|█████▋ | 13/23 [00:01<00:01, 6.56it/s] 61%|██████ | 14/23 [00:02<00:01, 6.55it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.59it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.62it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.65it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.62it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.60it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.57it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.56it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.59it/s] 100%|██████████| 23/23 [00:03<00:00, 6.63it/s] 100%|██████████| 23/23 [00:03<00:00, 6.63it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.5ms Speed: 2.8ms preprocess, 7.5ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name epiNoiseoffset_v2-pynoise 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 7.11it/s] 9%|▊ | 2/23 [00:00<00:03, 6.90it/s] 13%|█▎ | 3/23 [00:00<00:02, 6.83it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.81it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.77it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.68it/s] 30%|███ | 7/23 [00:01<00:02, 6.60it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.53it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.57it/s] 43%|████▎ | 10/23 [00:01<00:01, 6.59it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.63it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.63it/s] 57%|█████▋ | 13/23 [00:01<00:01, 6.61it/s] 61%|██████ | 14/23 [00:02<00:01, 6.56it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.55it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.58it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.58it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.60it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.57it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.56it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.56it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.55it/s] 100%|██████████| 23/23 [00:03<00:00, 6.57it/s] 100%|██████████| 23/23 [00:03<00:00, 6.62it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 faces, 7.8ms Speed: 2.6ms preprocess, 7.8ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name epiNoiseoffset_v2-pynoise 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 7.04it/s] 9%|▊ | 2/23 [00:00<00:03, 6.86it/s] 13%|█▎ | 3/23 [00:00<00:02, 6.77it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.74it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.69it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.64it/s] 30%|███ | 7/23 [00:01<00:02, 6.58it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.52it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.56it/s] 43%|████▎ | 10/23 [00:01<00:01, 6.56it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.61it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.60it/s] 57%|█████▋ | 13/23 [00:01<00:01, 6.56it/s] 61%|██████ | 14/23 [00:02<00:01, 6.54it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.54it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.55it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.60it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.60it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.60it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.58it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.57it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.58it/s] 100%|██████████| 23/23 [00:03<00:00, 6.57it/s] 100%|██████████| 23/23 [00:03<00:00, 6.60it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Couldn't find network with name epiNoiseoffset_v2-pynoise 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.90it/s] 9%|▊ | 2/23 [00:00<00:03, 6.79it/s] 13%|█▎ | 3/23 [00:00<00:02, 6.77it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.76it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.66it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.57it/s] 30%|███ | 7/23 [00:01<00:02, 6.52it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.54it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.57it/s] 43%|████▎ | 10/23 [00:01<00:01, 6.60it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.60it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.56it/s] 57%|█████▋ | 13/23 [00:01<00:01, 6.53it/s] 61%|██████ | 14/23 [00:02<00:01, 6.52it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.56it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.58it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.61it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.57it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.54it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.53it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.53it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.56it/s] 100%|██████████| 23/23 [00:03<00:00, 6.60it/s] 100%|██████████| 23/23 [00:03<00:00, 6.59it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 3 hands, 7.3ms Speed: 2.6ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name epiNoiseoffset_v2-pynoise 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.96it/s] 9%|▊ | 2/23 [00:00<00:03, 6.82it/s] 13%|█▎ | 3/23 [00:00<00:02, 6.76it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.73it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.73it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.65it/s] 30%|███ | 7/23 [00:01<00:02, 6.57it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.50it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.51it/s] 43%|████▎ | 10/23 [00:01<00:01, 6.54it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.59it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.60it/s] 57%|█████▋ | 13/23 [00:01<00:01, 6.57it/s] 61%|██████ | 14/23 [00:02<00:01, 6.53it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.42it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.47it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.49it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.53it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.52it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.52it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.50it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.53it/s] 100%|██████████| 23/23 [00:03<00:00, 6.56it/s] 100%|██████████| 23/23 [00:03<00:00, 6.56it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Couldn't find network with name epiNoiseoffset_v2-pynoise 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.84it/s] 9%|▊ | 2/23 [00:00<00:03, 6.64it/s] 13%|█▎ | 3/23 [00:00<00:03, 6.66it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.68it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.62it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.54it/s] 30%|███ | 7/23 [00:01<00:02, 6.50it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.50it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.55it/s] 43%|████▎ | 10/23 [00:01<00:01, 6.59it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.59it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.57it/s] 57%|█████▋ | 13/23 [00:01<00:01, 6.51it/s] 61%|██████ | 14/23 [00:02<00:01, 6.53it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.55it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.56it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.58it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.56it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.54it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.52it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.53it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.52it/s] 100%|██████████| 23/23 [00:03<00:00, 6.53it/s] 100%|██████████| 23/23 [00:03<00:00, 6.56it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Couldn't find network with name epiNoiseoffset_v2-pynoise 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.86it/s] 9%|▊ | 2/23 [00:00<00:03, 6.76it/s] 13%|█▎ | 3/23 [00:00<00:02, 6.72it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.70it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.61it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.55it/s] 30%|███ | 7/23 [00:01<00:02, 6.50it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.53it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.44it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.49it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.51it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.49it/s] 57%|█████▋ | 13/23 [00:01<00:01, 6.48it/s] 61%|██████ | 14/23 [00:02<00:01, 6.49it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.52it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.58it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.61it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.60it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.58it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.54it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.56it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.59it/s] 100%|██████████| 23/23 [00:03<00:00, 6.61it/s] 100%|██████████| 23/23 [00:03<00:00, 6.57it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 faces, 7.7ms Speed: 3.3ms preprocess, 7.7ms inference, 2.3ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name epiNoiseoffset_v2-pynoise 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 7.00it/s] 9%|▊ | 2/23 [00:00<00:03, 6.81it/s] 13%|█▎ | 3/23 [00:00<00:02, 6.74it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.70it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.57it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.55it/s] 30%|███ | 7/23 [00:01<00:02, 6.50it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.48it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.52it/s] 43%|████▎ | 10/23 [00:01<00:01, 6.58it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.59it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.51it/s] 57%|█████▋ | 13/23 [00:01<00:01, 6.50it/s] 61%|██████ | 14/23 [00:02<00:01, 6.47it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.50it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.54it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.56it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.58it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.56it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.54it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.52it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.54it/s] 100%|██████████| 23/23 [00:03<00:00, 6.55it/s] 100%|██████████| 23/23 [00:03<00:00, 6.56it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Couldn't find network with name epiNoiseoffset_v2-pynoise 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.91it/s] 9%|▊ | 2/23 [00:00<00:03, 6.77it/s] 13%|█▎ | 3/23 [00:00<00:02, 6.71it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.73it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.62it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.55it/s] 30%|███ | 7/23 [00:01<00:02, 6.49it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.53it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.58it/s] 43%|████▎ | 10/23 [00:01<00:01, 6.62it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.61it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.57it/s] 57%|█████▋ | 13/23 [00:01<00:01, 6.51it/s] 61%|██████ | 14/23 [00:02<00:01, 6.50it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.53it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.58it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.59it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.57it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.53it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.51it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.52it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.53it/s] 100%|██████████| 23/23 [00:03<00:00, 6.55it/s] 100%|██████████| 23/23 [00:03<00:00, 6.57it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.7ms Speed: 2.9ms preprocess, 7.7ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name epiNoiseoffset_v2-pynoise 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 7.02it/s] 9%|▊ | 2/23 [00:00<00:03, 6.83it/s] 13%|█▎ | 3/23 [00:00<00:02, 6.75it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.72it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.69it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.63it/s] 30%|███ | 7/23 [00:01<00:02, 6.53it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.47it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.51it/s] 43%|████▎ | 10/23 [00:01<00:01, 6.57it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.60it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.60it/s] 57%|█████▋ | 13/23 [00:01<00:01, 6.57it/s] 61%|██████ | 14/23 [00:02<00:01, 6.52it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.51it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.52it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.53it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.55it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.56it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.50it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.50it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.51it/s] 100%|██████████| 23/23 [00:03<00:00, 6.53it/s] 100%|██████████| 23/23 [00:03<00:00, 6.57it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 faces, 7.8ms Speed: 2.7ms preprocess, 7.8ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name epiNoiseoffset_v2-pynoise 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.99it/s] 9%|▊ | 2/23 [00:00<00:03, 6.82it/s] 13%|█▎ | 3/23 [00:00<00:02, 6.75it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.74it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.72it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.62it/s] 30%|███ | 7/23 [00:01<00:02, 6.52it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.49it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.52it/s] 43%|████▎ | 10/23 [00:01<00:01, 6.56it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.58it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.60it/s] 57%|█████▋ | 13/23 [00:01<00:01, 6.56it/s] 61%|██████ | 14/23 [00:02<00:01, 6.51it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.52it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.53it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.53it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.56it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.55it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.51it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.52it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.52it/s] 100%|██████████| 23/23 [00:03<00:00, 6.48it/s] 100%|██████████| 23/23 [00:03<00:00, 6.56it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Couldn't find network with name epiNoiseoffset_v2-pynoise 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.85it/s] 9%|▊ | 2/23 [00:00<00:03, 6.76it/s] 13%|█▎ | 3/23 [00:00<00:02, 6.71it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.71it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.59it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.51it/s] 30%|███ | 7/23 [00:01<00:02, 6.48it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.52it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.56it/s] 43%|████▎ | 10/23 [00:01<00:01, 6.57it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.56it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.51it/s] 57%|█████▋ | 13/23 [00:01<00:01, 6.46it/s] 61%|██████ | 14/23 [00:02<00:01, 6.46it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.51it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.54it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.55it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.52it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.48it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.46it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.49it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.52it/s] 100%|██████████| 23/23 [00:03<00:00, 6.54it/s] 100%|██████████| 23/23 [00:03<00:00, 6.54it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.4ms Speed: 2.8ms preprocess, 7.4ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Finished.