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Nerdy Girl with Zavy Mix
zavymix:v1.0
evevalentine2017
evevalentine2017
·
12/08/2023
364
Input
prompt
Specify things to see in the output
masterpiece, best quality, glamour shot of a young nerdy girl sitting in a cafe, wearing pink and blue striped knee-high (socks:1.3), nerd glasses, thigh-highs, sunrise, sweater, pleated skirt, surrounded by a cozy atmosphere, looking at the viewer. short hair, slender, red lips, transparent fabric, flirting with the camera, <lora:epiNoiseoffset_v2-pynoise:1.4> <lora:add_detail:0.7> <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.
1102249974
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
clearvae_v2.3_fp16.safetensors
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>
add_detail.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-hands-5.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
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/e620d4220b9d48ebbddb7cd58297e594/00000-1102249974.png
https://files.tungsten.run/uploads/828140c625d543d6936aeba0e3c8d3cf/00001-1102249975.png
https://files.tungsten.run/uploads/83ebc5e3a8e5454d911cd05c188f878b/00002-1102249976.png
https://files.tungsten.run/uploads/90cc6abc0f15416cb361e0fd84cb1453/00003-1102249977.png
Finished in 98.6 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: masterpiece, best quality, glamour shot of a young nerdy girl sitting in a cafe, wearing pink and blue striped knee-high (socks:1.3), nerd glasses, thigh-highs, sunrise, sweater, pleated skirt, surrounded by a cozy atmosphere, looking at the viewer. short hair, slender, red lips, transparent fabric, flirting with the camera, <lora:epiNoiseoffset_v2-pynoise:1.4> <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 Couldn't find network with name LowRA 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:26, 1.48it/s] 5%|▌ | 2/40 [00:01<00:24, 1.54it/s] 8%|▊ | 3/40 [00:01<00:23, 1.58it/s] 10%|█ | 4/40 [00:02<00:22, 1.57it/s] 12%|█▎ | 5/40 [00:03<00:22, 1.59it/s] 15%|█▌ | 6/40 [00:03<00:21, 1.60it/s] 18%|█▊ | 7/40 [00:04<00:20, 1.60it/s] 20%|██ | 8/40 [00:05<00:20, 1.60it/s] 22%|██▎ | 9/40 [00:05<00:19, 1.60it/s] 25%|██▌ | 10/40 [00:06<00:18, 1.60it/s] 28%|██▊ | 11/40 [00:06<00:18, 1.60it/s] 30%|███ | 12/40 [00:07<00:17, 1.60it/s] 32%|███▎ | 13/40 [00:08<00:16, 1.60it/s] 35%|███▌ | 14/40 [00:08<00:16, 1.60it/s] 38%|███▊ | 15/40 [00:09<00:15, 1.60it/s] 40%|████ | 16/40 [00:10<00:14, 1.60it/s] 42%|████▎ | 17/40 [00:10<00:14, 1.60it/s] 45%|████▌ | 18/40 [00:11<00:13, 1.60it/s] 48%|████▊ | 19/40 [00:11<00:13, 1.60it/s] 50%|█████ | 20/40 [00:12<00:12, 1.61it/s] 52%|█████▎ | 21/40 [00:13<00:11, 1.60it/s] 55%|█████▌ | 22/40 [00:13<00:11, 1.60it/s] 57%|█████▊ | 23/40 [00:14<00:10, 1.60it/s] 60%|██████ | 24/40 [00:15<00:09, 1.60it/s] 62%|██████▎ | 25/40 [00:15<00:09, 1.60it/s] 65%|██████▌ | 26/40 [00:16<00:08, 1.60it/s] 68%|██████▊ | 27/40 [00:16<00:08, 1.60it/s] 70%|███████ | 28/40 [00:17<00:07, 1.60it/s] 72%|███████▎ | 29/40 [00:18<00:06, 1.60it/s] 75%|███████▌ | 30/40 [00:18<00:06, 1.60it/s] 78%|███████▊ | 31/40 [00:19<00:05, 1.60it/s] 80%|████████ | 32/40 [00:20<00:05, 1.60it/s] 82%|████████▎ | 33/40 [00:20<00:04, 1.60it/s] 85%|████████▌ | 34/40 [00:21<00:03, 1.60it/s] 88%|████████▊ | 35/40 [00:21<00:03, 1.60it/s] 90%|█████████ | 36/40 [00:22<00:02, 1.59it/s] 92%|█████████▎| 37/40 [00:23<00:01, 1.59it/s] 95%|█████████▌| 38/40 [00:23<00:01, 1.59it/s] 98%|█████████▊| 39/40 [00:24<00:00, 1.59it/s] 100%|██████████| 40/40 [00:25<00:00, 1.59it/s] 100%|██████████| 40/40 [00:25<00:00, 1.60it/s] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 8.0ms Speed: 9.0ms preprocess, 8.0ms inference, 40.4ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name epiNoiseoffset_v2-pynoise Couldn't find network with name LowRA 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:09, 2.42it/s] 9%|▊ | 2/23 [00:00<00:06, 3.49it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.07it/s] 17%|█▋ | 4/23 [00:01<00:04, 4.41it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.59it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.72it/s] 30%|███ | 7/23 [00:01<00:03, 4.80it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.85it/s] 39%|███▉ | 9/23 [00:02<00:02, 4.88it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.94it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.95it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.95it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.98it/s] 61%|██████ | 14/23 [00:03<00:01, 4.99it/s] 65%|██████▌ | 15/23 [00:03<00:01, 5.02it/s] 70%|██████▉ | 16/23 [00:03<00:01, 5.03it/s] 74%|███████▍ | 17/23 [00:03<00:01, 5.01it/s] 78%|███████▊ | 18/23 [00:03<00:00, 5.01it/s] 83%|████████▎ | 19/23 [00:04<00:00, 4.98it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.99it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.97it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.88it/s] 100%|██████████| 23/23 [00:04<00:00, 4.94it/s] 100%|██████████| 23/23 [00:04<00:00, 4.77it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.8ms Speed: 3.0ms preprocess, 7.8ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name epiNoiseoffset_v2-pynoise Couldn't find network with name LowRA 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.96it/s] 9%|▊ | 2/23 [00:00<00:04, 4.96it/s] 13%|█▎ | 3/23 [00:00<00:03, 5.01it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.91it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.88it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.91it/s] 30%|███ | 7/23 [00:01<00:03, 4.93it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.96it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.85it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.87it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.90it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.93it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.92it/s] 61%|██████ | 14/23 [00:02<00:01, 4.95it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.95it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.96it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.98it/s] 78%|███████▊ | 18/23 [00:03<00:00, 5.01it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.88it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.90it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.94it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.96it/s] 100%|██████████| 23/23 [00:04<00:00, 4.99it/s] 100%|██████████| 23/23 [00:04<00:00, 4.94it/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 Couldn't find network with name LowRA 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.95it/s] 9%|▊ | 2/23 [00:00<00:04, 5.02it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.87it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.91it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.94it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.96it/s] 30%|███ | 7/23 [00:01<00:03, 4.97it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.85it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.90it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.93it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.96it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.98it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.89it/s] 61%|██████ | 14/23 [00:02<00:01, 4.92it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.89it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.88it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.89it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.85it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.88it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.87it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.92it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.91it/s] 100%|██████████| 23/23 [00:04<00:00, 4.76it/s] 100%|██████████| 23/23 [00:04<00:00, 4.89it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 3.1ms preprocess, 7.6ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name epiNoiseoffset_v2-pynoise Couldn't find network with name LowRA 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.94it/s] 9%|▊ | 2/23 [00:00<00:04, 4.99it/s] 13%|█▎ | 3/23 [00:00<00:03, 5.00it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.99it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.83it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.86it/s] 30%|███ | 7/23 [00:01<00:03, 4.89it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.94it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.96it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.81it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.88it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.93it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.94it/s] 61%|██████ | 14/23 [00:02<00:01, 4.95it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.90it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.93it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.96it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.98it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.97it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.89it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.95it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.98it/s] 100%|██████████| 23/23 [00:04<00:00, 4.99it/s] 100%|██████████| 23/23 [00:04<00:00, 4.94it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.4ms Speed: 3.1ms preprocess, 7.4ms inference, 2.3ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name epiNoiseoffset_v2-pynoise Couldn't find network with name LowRA 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.91it/s] 9%|▊ | 2/23 [00:00<00:04, 4.86it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.86it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.91it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.93it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.78it/s] 30%|███ | 7/23 [00:01<00:03, 4.78it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.85it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.87it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.91it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.87it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.84it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.87it/s] 61%|██████ | 14/23 [00:02<00:01, 4.91it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.93it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.95it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.94it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.93it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.94it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.82it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.86it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.88it/s] 100%|██████████| 23/23 [00:04<00:00, 4.92it/s] 100%|██████████| 23/23 [00:04<00:00, 4.89it/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%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.99it/s] 9%|▊ | 2/23 [00:00<00:04, 4.99it/s] 13%|█▎ | 3/23 [00:00<00:03, 5.02it/s] 17%|█▋ | 4/23 [00:00<00:03, 5.02it/s] 22%|██▏ | 5/23 [00:00<00:03, 5.02it/s] 26%|██▌ | 6/23 [00:01<00:03, 5.05it/s] 30%|███ | 7/23 [00:01<00:03, 5.05it/s] 35%|███▍ | 8/23 [00:01<00:02, 5.03it/s] 39%|███▉ | 9/23 [00:01<00:02, 5.03it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.93it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.94it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.92it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.93it/s] 61%|██████ | 14/23 [00:02<00:01, 4.93it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.86it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.89it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.94it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.96it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.95it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.94it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.94it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.95it/s] 100%|██████████| 23/23 [00:04<00:00, 4.96it/s] 100%|██████████| 23/23 [00:04<00:00, 4.96it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 9.3ms Speed: 3.3ms preprocess, 9.3ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name epiNoiseoffset_v2-pynoise Couldn't find network with name LowRA 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.97it/s] 9%|▊ | 2/23 [00:00<00:04, 4.91it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.82it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.84it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.86it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.90it/s] 30%|███ | 7/23 [00:01<00:03, 4.93it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.96it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.97it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.99it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.99it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.99it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.98it/s] 61%|██████ | 14/23 [00:02<00:01, 4.97it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.92it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.92it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.80it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.84it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.88it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.93it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.96it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.94it/s] 100%|██████████| 23/23 [00:04<00:00, 4.95it/s] 100%|██████████| 23/23 [00:04<00:00, 4.93it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.5ms Speed: 3.3ms preprocess, 7.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name epiNoiseoffset_v2-pynoise Couldn't find network with name LowRA 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.91it/s] 9%|▊ | 2/23 [00:00<00:04, 4.92it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.79it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.82it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.86it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.86it/s] 30%|███ | 7/23 [00:01<00:03, 4.88it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.90it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.86it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.88it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.93it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.93it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.85it/s] 61%|██████ | 14/23 [00:02<00:01, 4.79it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.76it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.80it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.84it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.87it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.81it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.84it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.88it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.91it/s] 100%|██████████| 23/23 [00:04<00:00, 4.92it/s] 100%|██████████| 23/23 [00:04<00:00, 4.87it/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%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.83it/s] 9%|▊ | 2/23 [00:00<00:04, 4.86it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.90it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.76it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.84it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.89it/s] 30%|███ | 7/23 [00:01<00:03, 4.93it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.95it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.84it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.85it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.85it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.86it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.89it/s] 61%|██████ | 14/23 [00:02<00:01, 4.84it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.88it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.92it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.95it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.95it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.80it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.84it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.87it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.92it/s] 100%|██████████| 23/23 [00:04<00:00, 4.94it/s] 100%|██████████| 23/23 [00:04<00:00, 4.88it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.2ms Speed: 3.1ms preprocess, 8.2ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name epiNoiseoffset_v2-pynoise Couldn't find network with name LowRA 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.98it/s] 9%|▊ | 2/23 [00:00<00:04, 4.98it/s] 13%|█▎ | 3/23 [00:00<00:04, 5.00it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.98it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.88it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.87it/s] 30%|███ | 7/23 [00:01<00:03, 4.90it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.90it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.92it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.93it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.94it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.92it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.93it/s] 61%|██████ | 14/23 [00:02<00:01, 4.93it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.81it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.85it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.88it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.92it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.90it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.84it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.87it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.88it/s] 100%|██████████| 23/23 [00:04<00:00, 4.91it/s] 100%|██████████| 23/23 [00:04<00:00, 4.90it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.7ms Speed: 3.0ms preprocess, 7.7ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name epiNoiseoffset_v2-pynoise Couldn't find network with name LowRA 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.90it/s] 9%|▊ | 2/23 [00:00<00:04, 4.76it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.79it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.88it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.89it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.91it/s] 30%|███ | 7/23 [00:01<00:03, 4.85it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.87it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.91it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.94it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.95it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.94it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.79it/s] 61%|██████ | 14/23 [00:02<00:01, 4.84it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.89it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.90it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.93it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.86it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.80it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.81it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.81it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.86it/s] 100%|██████████| 23/23 [00:04<00:00, 4.89it/s] 100%|██████████| 23/23 [00:04<00:00, 4.87it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Finished.
prompt
Specify things to see in the output
masterpiece, best quality, glamour shot of a young nerdy girl sitting in a cafe, wearing pink and blue striped knee-high (socks:1.3), nerd glasses, thigh-highs, sunrise, sweater, pleated skirt, surrounded by a cozy atmosphere, looking at the viewer. short hair, slender, red lips, transparent fabric, flirting with the camera, <lora:epiNoiseoffset_v2-pynoise:1.4> <lora:add_detail:0.7> <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.
1102249974
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
clearvae_v2.3_fp16.safetensors
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>
add_detail.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-hands-5.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
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/e620d4220b9d48ebbddb7cd58297e594/00000-1102249974.png
https://files.tungsten.run/uploads/828140c625d543d6936aeba0e3c8d3cf/00001-1102249975.png
https://files.tungsten.run/uploads/83ebc5e3a8e5454d911cd05c188f878b/00002-1102249976.png
https://files.tungsten.run/uploads/90cc6abc0f15416cb361e0fd84cb1453/00003-1102249977.png
Finished in 98.6 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: masterpiece, best quality, glamour shot of a young nerdy girl sitting in a cafe, wearing pink and blue striped knee-high (socks:1.3), nerd glasses, thigh-highs, sunrise, sweater, pleated skirt, surrounded by a cozy atmosphere, looking at the viewer. short hair, slender, red lips, transparent fabric, flirting with the camera, <lora:epiNoiseoffset_v2-pynoise:1.4> <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 Couldn't find network with name LowRA 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:26, 1.48it/s] 5%|▌ | 2/40 [00:01<00:24, 1.54it/s] 8%|▊ | 3/40 [00:01<00:23, 1.58it/s] 10%|█ | 4/40 [00:02<00:22, 1.57it/s] 12%|█▎ | 5/40 [00:03<00:22, 1.59it/s] 15%|█▌ | 6/40 [00:03<00:21, 1.60it/s] 18%|█▊ | 7/40 [00:04<00:20, 1.60it/s] 20%|██ | 8/40 [00:05<00:20, 1.60it/s] 22%|██▎ | 9/40 [00:05<00:19, 1.60it/s] 25%|██▌ | 10/40 [00:06<00:18, 1.60it/s] 28%|██▊ | 11/40 [00:06<00:18, 1.60it/s] 30%|███ | 12/40 [00:07<00:17, 1.60it/s] 32%|███▎ | 13/40 [00:08<00:16, 1.60it/s] 35%|███▌ | 14/40 [00:08<00:16, 1.60it/s] 38%|███▊ | 15/40 [00:09<00:15, 1.60it/s] 40%|████ | 16/40 [00:10<00:14, 1.60it/s] 42%|████▎ | 17/40 [00:10<00:14, 1.60it/s] 45%|████▌ | 18/40 [00:11<00:13, 1.60it/s] 48%|████▊ | 19/40 [00:11<00:13, 1.60it/s] 50%|█████ | 20/40 [00:12<00:12, 1.61it/s] 52%|█████▎ | 21/40 [00:13<00:11, 1.60it/s] 55%|█████▌ | 22/40 [00:13<00:11, 1.60it/s] 57%|█████▊ | 23/40 [00:14<00:10, 1.60it/s] 60%|██████ | 24/40 [00:15<00:09, 1.60it/s] 62%|██████▎ | 25/40 [00:15<00:09, 1.60it/s] 65%|██████▌ | 26/40 [00:16<00:08, 1.60it/s] 68%|██████▊ | 27/40 [00:16<00:08, 1.60it/s] 70%|███████ | 28/40 [00:17<00:07, 1.60it/s] 72%|███████▎ | 29/40 [00:18<00:06, 1.60it/s] 75%|███████▌ | 30/40 [00:18<00:06, 1.60it/s] 78%|███████▊ | 31/40 [00:19<00:05, 1.60it/s] 80%|████████ | 32/40 [00:20<00:05, 1.60it/s] 82%|████████▎ | 33/40 [00:20<00:04, 1.60it/s] 85%|████████▌ | 34/40 [00:21<00:03, 1.60it/s] 88%|████████▊ | 35/40 [00:21<00:03, 1.60it/s] 90%|█████████ | 36/40 [00:22<00:02, 1.59it/s] 92%|█████████▎| 37/40 [00:23<00:01, 1.59it/s] 95%|█████████▌| 38/40 [00:23<00:01, 1.59it/s] 98%|█████████▊| 39/40 [00:24<00:00, 1.59it/s] 100%|██████████| 40/40 [00:25<00:00, 1.59it/s] 100%|██████████| 40/40 [00:25<00:00, 1.60it/s] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 8.0ms Speed: 9.0ms preprocess, 8.0ms inference, 40.4ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name epiNoiseoffset_v2-pynoise Couldn't find network with name LowRA 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:09, 2.42it/s] 9%|▊ | 2/23 [00:00<00:06, 3.49it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.07it/s] 17%|█▋ | 4/23 [00:01<00:04, 4.41it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.59it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.72it/s] 30%|███ | 7/23 [00:01<00:03, 4.80it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.85it/s] 39%|███▉ | 9/23 [00:02<00:02, 4.88it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.94it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.95it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.95it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.98it/s] 61%|██████ | 14/23 [00:03<00:01, 4.99it/s] 65%|██████▌ | 15/23 [00:03<00:01, 5.02it/s] 70%|██████▉ | 16/23 [00:03<00:01, 5.03it/s] 74%|███████▍ | 17/23 [00:03<00:01, 5.01it/s] 78%|███████▊ | 18/23 [00:03<00:00, 5.01it/s] 83%|████████▎ | 19/23 [00:04<00:00, 4.98it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.99it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.97it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.88it/s] 100%|██████████| 23/23 [00:04<00:00, 4.94it/s] 100%|██████████| 23/23 [00:04<00:00, 4.77it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.8ms Speed: 3.0ms preprocess, 7.8ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name epiNoiseoffset_v2-pynoise Couldn't find network with name LowRA 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.96it/s] 9%|▊ | 2/23 [00:00<00:04, 4.96it/s] 13%|█▎ | 3/23 [00:00<00:03, 5.01it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.91it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.88it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.91it/s] 30%|███ | 7/23 [00:01<00:03, 4.93it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.96it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.85it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.87it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.90it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.93it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.92it/s] 61%|██████ | 14/23 [00:02<00:01, 4.95it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.95it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.96it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.98it/s] 78%|███████▊ | 18/23 [00:03<00:00, 5.01it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.88it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.90it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.94it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.96it/s] 100%|██████████| 23/23 [00:04<00:00, 4.99it/s] 100%|██████████| 23/23 [00:04<00:00, 4.94it/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 Couldn't find network with name LowRA 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.95it/s] 9%|▊ | 2/23 [00:00<00:04, 5.02it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.87it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.91it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.94it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.96it/s] 30%|███ | 7/23 [00:01<00:03, 4.97it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.85it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.90it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.93it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.96it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.98it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.89it/s] 61%|██████ | 14/23 [00:02<00:01, 4.92it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.89it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.88it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.89it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.85it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.88it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.87it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.92it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.91it/s] 100%|██████████| 23/23 [00:04<00:00, 4.76it/s] 100%|██████████| 23/23 [00:04<00:00, 4.89it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 3.1ms preprocess, 7.6ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name epiNoiseoffset_v2-pynoise Couldn't find network with name LowRA 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.94it/s] 9%|▊ | 2/23 [00:00<00:04, 4.99it/s] 13%|█▎ | 3/23 [00:00<00:03, 5.00it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.99it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.83it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.86it/s] 30%|███ | 7/23 [00:01<00:03, 4.89it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.94it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.96it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.81it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.88it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.93it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.94it/s] 61%|██████ | 14/23 [00:02<00:01, 4.95it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.90it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.93it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.96it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.98it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.97it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.89it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.95it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.98it/s] 100%|██████████| 23/23 [00:04<00:00, 4.99it/s] 100%|██████████| 23/23 [00:04<00:00, 4.94it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.4ms Speed: 3.1ms preprocess, 7.4ms inference, 2.3ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name epiNoiseoffset_v2-pynoise Couldn't find network with name LowRA 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.91it/s] 9%|▊ | 2/23 [00:00<00:04, 4.86it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.86it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.91it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.93it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.78it/s] 30%|███ | 7/23 [00:01<00:03, 4.78it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.85it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.87it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.91it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.87it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.84it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.87it/s] 61%|██████ | 14/23 [00:02<00:01, 4.91it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.93it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.95it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.94it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.93it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.94it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.82it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.86it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.88it/s] 100%|██████████| 23/23 [00:04<00:00, 4.92it/s] 100%|██████████| 23/23 [00:04<00:00, 4.89it/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%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.99it/s] 9%|▊ | 2/23 [00:00<00:04, 4.99it/s] 13%|█▎ | 3/23 [00:00<00:03, 5.02it/s] 17%|█▋ | 4/23 [00:00<00:03, 5.02it/s] 22%|██▏ | 5/23 [00:00<00:03, 5.02it/s] 26%|██▌ | 6/23 [00:01<00:03, 5.05it/s] 30%|███ | 7/23 [00:01<00:03, 5.05it/s] 35%|███▍ | 8/23 [00:01<00:02, 5.03it/s] 39%|███▉ | 9/23 [00:01<00:02, 5.03it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.93it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.94it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.92it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.93it/s] 61%|██████ | 14/23 [00:02<00:01, 4.93it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.86it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.89it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.94it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.96it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.95it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.94it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.94it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.95it/s] 100%|██████████| 23/23 [00:04<00:00, 4.96it/s] 100%|██████████| 23/23 [00:04<00:00, 4.96it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 9.3ms Speed: 3.3ms preprocess, 9.3ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name epiNoiseoffset_v2-pynoise Couldn't find network with name LowRA 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.97it/s] 9%|▊ | 2/23 [00:00<00:04, 4.91it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.82it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.84it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.86it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.90it/s] 30%|███ | 7/23 [00:01<00:03, 4.93it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.96it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.97it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.99it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.99it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.99it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.98it/s] 61%|██████ | 14/23 [00:02<00:01, 4.97it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.92it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.92it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.80it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.84it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.88it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.93it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.96it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.94it/s] 100%|██████████| 23/23 [00:04<00:00, 4.95it/s] 100%|██████████| 23/23 [00:04<00:00, 4.93it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.5ms Speed: 3.3ms preprocess, 7.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name epiNoiseoffset_v2-pynoise Couldn't find network with name LowRA 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.91it/s] 9%|▊ | 2/23 [00:00<00:04, 4.92it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.79it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.82it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.86it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.86it/s] 30%|███ | 7/23 [00:01<00:03, 4.88it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.90it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.86it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.88it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.93it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.93it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.85it/s] 61%|██████ | 14/23 [00:02<00:01, 4.79it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.76it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.80it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.84it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.87it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.81it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.84it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.88it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.91it/s] 100%|██████████| 23/23 [00:04<00:00, 4.92it/s] 100%|██████████| 23/23 [00:04<00:00, 4.87it/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%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.83it/s] 9%|▊ | 2/23 [00:00<00:04, 4.86it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.90it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.76it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.84it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.89it/s] 30%|███ | 7/23 [00:01<00:03, 4.93it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.95it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.84it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.85it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.85it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.86it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.89it/s] 61%|██████ | 14/23 [00:02<00:01, 4.84it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.88it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.92it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.95it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.95it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.80it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.84it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.87it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.92it/s] 100%|██████████| 23/23 [00:04<00:00, 4.94it/s] 100%|██████████| 23/23 [00:04<00:00, 4.88it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.2ms Speed: 3.1ms preprocess, 8.2ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name epiNoiseoffset_v2-pynoise Couldn't find network with name LowRA 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.98it/s] 9%|▊ | 2/23 [00:00<00:04, 4.98it/s] 13%|█▎ | 3/23 [00:00<00:04, 5.00it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.98it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.88it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.87it/s] 30%|███ | 7/23 [00:01<00:03, 4.90it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.90it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.92it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.93it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.94it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.92it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.93it/s] 61%|██████ | 14/23 [00:02<00:01, 4.93it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.81it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.85it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.88it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.92it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.90it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.84it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.87it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.88it/s] 100%|██████████| 23/23 [00:04<00:00, 4.91it/s] 100%|██████████| 23/23 [00:04<00:00, 4.90it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.7ms Speed: 3.0ms preprocess, 7.7ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name epiNoiseoffset_v2-pynoise Couldn't find network with name LowRA 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.90it/s] 9%|▊ | 2/23 [00:00<00:04, 4.76it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.79it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.88it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.89it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.91it/s] 30%|███ | 7/23 [00:01<00:03, 4.85it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.87it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.91it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.94it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.95it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.94it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.79it/s] 61%|██████ | 14/23 [00:02<00:01, 4.84it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.89it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.90it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.93it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.86it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.80it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.81it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.81it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.86it/s] 100%|██████████| 23/23 [00:04<00:00, 4.89it/s] 100%|██████████| 23/23 [00:04<00:00, 4.87it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Finished.