zavymix
zavymix
12 stars
Version: v1.0
Input
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
saturation
Adjust saturation
num_outputs
Number of output images
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
width
Output image width
height
Output image height
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.
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.
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.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
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Output
https://files.tungsten.run/uploads/4b4ddaafde3f45839d358d2f35330a91/00000-2801804230.png
https://files.tungsten.run/uploads/b7aeeed525224a268b6f718ac62c1487/00001-2801804231.png
https://files.tungsten.run/uploads/7aee78bbe0e040a09a53a2178293a366/00002-2801804232.png
https://files.tungsten.run/uploads/caffcc57ca4c4242bf13d95f8661a2fd/00003-2801804233.png
This example was created by evevalentine2017
Finished in 86.4 seconds
Preparing inputs... Processing... Full prompt: glamour shot (close-up:0.9) from side of a sad naked male in his 20s, torn shirt, standing, nude tattooed muscled torso, dirty, military pants, military boots, backpack, (holding a rifle), end of the world, epic realistic, (hdr:1.4), (muted colors:1.4), UHD, apocalypse, abandoned, neutral colors, night, screen space refractions, (intricate details), (intricate details, hyperdetailed:1.2), artstation, cinematic shot, vignette, dark theme, complex background, zombies, building, from bottom, dynamic pose, unique pose, raytracing, <lora:epiNoiseoffset_v2-pynoise:1.5>, <lora:LowRA:0.1>, (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 [00:00<00:24, 1.62it/s] 5%|▌ | 2/40 [00:01<00:23, 1.63it/s] 8%|▊ | 3/40 [00:01<00:22, 1.63it/s] 10%|█ | 4/40 [00:02<00:22, 1.63it/s] 12%|█▎ | 5/40 [00:03<00:21, 1.62it/s] 15%|█▌ | 6/40 [00:03<00:20, 1.63it/s] 18%|█▊ | 7/40 [00:04<00:20, 1.63it/s] 20%|██ | 8/40 [00:04<00:19, 1.62it/s] 22%|██▎ | 9/40 [00:05<00:19, 1.62it/s] 25%|██▌ | 10/40 [00:06<00:18, 1.62it/s] 28%|██▊ | 11/40 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[00:21<00:03, 1.61it/s] 88%|████████▊ | 35/40 [00:21<00:03, 1.61it/s] 90%|█████████ | 36/40 [00:22<00:02, 1.61it/s] 92%|█████████▎| 37/40 [00:22<00:01, 1.61it/s] 95%|█████████▌| 38/40 [00:23<00:01, 1.61it/s] 98%|█████████▊| 39/40 [00:24<00:00, 1.61it/s] 100%|██████████| 40/40 [00:24<00:00, 1.61it/s] 100%|██████████| 40/40 [00:24<00:00, 1.62it/s] Decoding latents in cuda:0... done in 0.93s Move latents to cpu... done in 0.02s Couldn't find network with name epiNoiseoffset_v2-pynoise 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.95it/s] 9%|▊ | 2/23 [00:00<00:04, 4.97it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.76it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.86it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.91it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.94it/s] 30%|███ | 7/23 [00:01<00:03, 4.97it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.92it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.95it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.96it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.99it/s] 52%|█████▏ | 12/23 [00:02<00:02, 5.00it/s] 57%|█████▋ | 13/23 [00:02<00:01, 5.01it/s] 61%|██████ | 14/23 [00:02<00:01, 4.93it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.93it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.93it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.94it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.95it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.79it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.86it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.92it/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 0.23s 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<00:04, 4.62it/s] 9%|▊ | 2/23 [00:00<00:04, 4.83it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.93it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.98it/s] 22%|██▏ | 5/23 [00:01<00:03, 5.00it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.90it/s] 30%|███ | 7/23 [00:01<00:03, 4.94it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.97it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.99it/s] 43%|████▎ | 10/23 [00:02<00:02, 5.01it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.87it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.85it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.87it/s] 61%|██████ | 14/23 [00:02<00:01, 4.88it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.90it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.76it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.83it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.83it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.85it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.88it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.89it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.90it/s] 100%|██████████| 23/23 [00:04<00:00, 4.87it/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 Couldn't find network with name epiNoiseoffset_v2-pynoise 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.93it/s] 9%|▊ | 2/23 [00:00<00:04, 4.85it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.93it/s] 17%|█▋ | 4/23 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name epiNoiseoffset_v2-pynoise 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.93it/s] 9%|▊ | 2/23 [00:00<00:04, 4.94it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.95it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.80it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.88it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.92it/s] 30%|███ | 7/23 [00:01<00:03, 4.94it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.96it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.86it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.86it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.87it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.91it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.94it/s] 61%|██████ | 14/23 [00:02<00:01, 4.90it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.92it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.93it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.93it/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, 4.91it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.90it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.90it/s] 100%|██████████| 23/23 [00:04<00:00, 4.90it/s] 100%|██████████| 23/23 [00:04<00:00, 4.91it/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<00:04, 4.91it/s] 9%|▊ | 2/23 [00:00<00:04, 4.94it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.75it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.84it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.89it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.93it/s] 30%|███ | 7/23 [00:01<00:03, 4.84it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.75it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.82it/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, 4.95it/s] 61%|██████ | 14/23 [00:02<00:01, 4.96it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.97it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.99it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.99it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.99it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.95it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.98it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.97it/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, 4.93it/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<00:04, 5.00it/s] 9%|▊ | 2/23 [00:00<00:04, 4.77it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.86it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.90it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.74it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.74it/s] 30%|███ | 7/23 [00:01<00:03, 4.83it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.88it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.91it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.84it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.83it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.86it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.83it/s] 61%|██████ | 14/23 [00:02<00:01, 4.87it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.80it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.83it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.89it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.89it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.90it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.88it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.89it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.90it/s] 100%|██████████| 23/23 [00:04<00:00, 4.92it/s] 100%|██████████| 23/23 [00:04<00:00, 4.86it/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<00:04, 4.86it/s] 9%|▊ | 2/23 [00:00<00:04, 4.62it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.76it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.79it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.81it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.85it/s] 30%|███ | 7/23 [00:01<00:03, 4.88it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.91it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.90it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.94it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.94it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.80it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.86it/s] 61%|██████ | 14/23 [00:02<00:01, 4.89it/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, 4.81it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.87it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.88it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.88it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.91it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.78it/s] 100%|██████████| 23/23 [00:04<00:00, 4.80it/s] 100%|██████████| 23/23 [00:04<00:00, 4.85it/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<00:04, 4.63it/s] 9%|▊ | 2/23 [00:00<00:04, 4.79it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.85it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.87it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.90it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.77it/s] 30%|███ | 7/23 [00:01<00:03, 4.81it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.86it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.89it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.94it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.89it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.95it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.98it/s] 61%|██████ | 14/23 [00:02<00:01, 4.98it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.99it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.98it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.82it/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, 4.92it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.92it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.94it/s] 100%|██████████| 23/23 [00:04<00:00, 4.96it/s] 100%|██████████| 23/23 [00:04<00:00, 4.90it/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<00:04, 4.87it/s] 9%|▊ | 2/23 [00:00<00:04, 4.78it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.69it/s] 17%|█▋ | 4/23 [00:00<00:04, 4.70it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.78it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.83it/s] 30%|███ | 7/23 [00:01<00:03, 4.87it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.79it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.80it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.85it/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, 4.80it/s] 61%|██████ | 14/23 [00:02<00:01, 4.85it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.90it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.89it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.89it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.90it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.92it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.91it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.85it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.86it/s] 100%|██████████| 23/23 [00:04<00:00, 4.76it/s] 100%|██████████| 23/23 [00:04<00:00, 4.84it/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<00:04, 4.91it/s] 9%|▊ | 2/23 [00:00<00:04, 4.83it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.69it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.79it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.88it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.90it/s] 30%|███ | 7/23 [00:01<00:03, 4.96it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.80it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.86it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.91it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.93it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.95it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.80it/s] 61%|██████ | 14/23 [00:02<00:01, 4.86it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.92it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.98it/s] 74%|███████▍ | 17/23 [00:03<00:01, 5.00it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.89it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.93it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.94it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.86it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.90it/s] 100%|██████████| 23/23 [00:04<00:00, 4.93it/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 Finished.
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
saturation
Adjust saturation
num_outputs
Number of output images
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
width
Output image width
height
Output image height
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.
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.
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.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
Sign in to run this model for free!
https://files.tungsten.run/uploads/4b4ddaafde3f45839d358d2f35330a91/00000-2801804230.png
https://files.tungsten.run/uploads/b7aeeed525224a268b6f718ac62c1487/00001-2801804231.png
https://files.tungsten.run/uploads/7aee78bbe0e040a09a53a2178293a366/00002-2801804232.png
https://files.tungsten.run/uploads/caffcc57ca4c4242bf13d95f8661a2fd/00003-2801804233.png
This example was created by evevalentine2017
Finished in 86.4 seconds
Preparing inputs... Processing... Full prompt: glamour shot (close-up:0.9) from side of a sad naked male in his 20s, torn shirt, standing, nude tattooed muscled torso, dirty, military pants, military boots, backpack, (holding a rifle), end of the world, epic realistic, (hdr:1.4), (muted colors:1.4), UHD, apocalypse, abandoned, neutral colors, night, screen space refractions, (intricate details), (intricate details, hyperdetailed:1.2), artstation, cinematic shot, vignette, dark theme, complex background, zombies, building, from bottom, dynamic pose, unique pose, raytracing, <lora:epiNoiseoffset_v2-pynoise:1.5>, <lora:LowRA:0.1>, (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 [00:00<00:24, 1.62it/s] 5%|▌ | 2/40 [00:01<00:23, 1.63it/s] 8%|▊ | 3/40 [00:01<00:22, 1.63it/s] 10%|█ | 4/40 [00:02<00:22, 1.63it/s] 12%|█▎ | 5/40 [00:03<00:21, 1.62it/s] 15%|█▌ | 6/40 [00:03<00:20, 1.63it/s] 18%|█▊ | 7/40 [00:04<00:20, 1.63it/s] 20%|██ | 8/40 [00:04<00:19, 1.62it/s] 22%|██▎ | 9/40 [00:05<00:19, 1.62it/s] 25%|██▌ | 10/40 [00:06<00:18, 1.62it/s] 28%|██▊ | 11/40 [00:06<00:17, 1.62it/s] 30%|███ | 12/40 [00:07<00:17, 1.62it/s] 32%|███▎ | 13/40 [00:08<00:16, 1.62it/s] 35%|███▌ | 14/40 [00:08<00:16, 1.62it/s] 38%|███▊ | 15/40 [00:09<00:15, 1.62it/s] 40%|████ | 16/40 [00:09<00:14, 1.62it/s] 42%|████▎ | 17/40 [00:10<00:14, 1.62it/s] 45%|████▌ | 18/40 [00:11<00:13, 1.62it/s] 48%|████▊ | 19/40 [00:11<00:12, 1.62it/s] 50%|█████ | 20/40 [00:12<00:12, 1.62it/s] 52%|█████▎ | 21/40 [00:12<00:11, 1.62it/s] 55%|█████▌ | 22/40 [00:13<00:11, 1.61it/s] 57%|█████▊ | 23/40 [00:14<00:10, 1.62it/s] 60%|██████ | 24/40 [00:14<00:09, 1.61it/s] 62%|██████▎ | 25/40 [00:15<00:09, 1.61it/s] 65%|██████▌ | 26/40 [00:16<00:08, 1.61it/s] 68%|██████▊ | 27/40 [00:16<00:08, 1.61it/s] 70%|███████ | 28/40 [00:17<00:07, 1.61it/s] 72%|███████▎ | 29/40 [00:17<00:06, 1.61it/s] 75%|███████▌ | 30/40 [00:18<00:06, 1.61it/s] 78%|███████▊ | 31/40 [00:19<00:05, 1.61it/s] 80%|████████ | 32/40 [00:19<00:04, 1.61it/s] 82%|████████▎ | 33/40 [00:20<00:04, 1.62it/s] 85%|████████▌ | 34/40 [00:21<00:03, 1.61it/s] 88%|████████▊ | 35/40 [00:21<00:03, 1.61it/s] 90%|█████████ | 36/40 [00:22<00:02, 1.61it/s] 92%|█████████▎| 37/40 [00:22<00:01, 1.61it/s] 95%|█████████▌| 38/40 [00:23<00:01, 1.61it/s] 98%|█████████▊| 39/40 [00:24<00:00, 1.61it/s] 100%|██████████| 40/40 [00:24<00:00, 1.61it/s] 100%|██████████| 40/40 [00:24<00:00, 1.62it/s] Decoding latents in cuda:0... done in 0.93s Move latents to cpu... done in 0.02s Couldn't find network with name epiNoiseoffset_v2-pynoise 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.95it/s] 9%|▊ | 2/23 [00:00<00:04, 4.97it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.76it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.86it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.91it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.94it/s] 30%|███ | 7/23 [00:01<00:03, 4.97it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.92it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.95it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.96it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.99it/s] 52%|█████▏ | 12/23 [00:02<00:02, 5.00it/s] 57%|█████▋ | 13/23 [00:02<00:01, 5.01it/s] 61%|██████ | 14/23 [00:02<00:01, 4.93it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.93it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.93it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.94it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.95it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.79it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.86it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.92it/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 0.23s 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<00:04, 4.62it/s] 9%|▊ | 2/23 [00:00<00:04, 4.83it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.93it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.98it/s] 22%|██▏ | 5/23 [00:01<00:03, 5.00it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.90it/s] 30%|███ | 7/23 [00:01<00:03, 4.94it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.97it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.99it/s] 43%|████▎ | 10/23 [00:02<00:02, 5.01it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.87it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.85it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.87it/s] 61%|██████ | 14/23 [00:02<00:01, 4.88it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.90it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.76it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.83it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.83it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.85it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.88it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.89it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.90it/s] 100%|██████████| 23/23 [00:04<00:00, 4.87it/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 Couldn't find network with name epiNoiseoffset_v2-pynoise 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.93it/s] 9%|▊ | 2/23 [00:00<00:04, 4.85it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.93it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.96it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.97it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.98it/s] 30%|███ | 7/23 [00:01<00:03, 4.97it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.98it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.99it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.92it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.90it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.71it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.77it/s] 61%|██████ | 14/23 [00:02<00:01, 4.83it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.87it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.89it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.81it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.85it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.89it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.91it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.92it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.93it/s] 100%|██████████| 23/23 [00:04<00:00, 4.95it/s] 100%|██████████| 23/23 [00:04<00:00, 4.90it/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<00:04, 4.93it/s] 9%|▊ | 2/23 [00:00<00:04, 4.94it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.95it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.80it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.88it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.92it/s] 30%|███ | 7/23 [00:01<00:03, 4.94it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.96it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.86it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.86it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.87it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.91it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.94it/s] 61%|██████ | 14/23 [00:02<00:01, 4.90it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.92it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.93it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.93it/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, 4.91it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.90it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.90it/s] 100%|██████████| 23/23 [00:04<00:00, 4.90it/s] 100%|██████████| 23/23 [00:04<00:00, 4.91it/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<00:04, 4.91it/s] 9%|▊ | 2/23 [00:00<00:04, 4.94it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.75it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.84it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.89it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.93it/s] 30%|███ | 7/23 [00:01<00:03, 4.84it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.75it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.82it/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, 4.95it/s] 61%|██████ | 14/23 [00:02<00:01, 4.96it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.97it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.99it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.99it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.99it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.95it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.98it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.97it/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, 4.93it/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<00:04, 5.00it/s] 9%|▊ | 2/23 [00:00<00:04, 4.77it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.86it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.90it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.74it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.74it/s] 30%|███ | 7/23 [00:01<00:03, 4.83it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.88it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.91it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.84it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.83it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.86it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.83it/s] 61%|██████ | 14/23 [00:02<00:01, 4.87it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.80it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.83it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.89it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.89it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.90it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.88it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.89it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.90it/s] 100%|██████████| 23/23 [00:04<00:00, 4.92it/s] 100%|██████████| 23/23 [00:04<00:00, 4.86it/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<00:04, 4.86it/s] 9%|▊ | 2/23 [00:00<00:04, 4.62it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.76it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.79it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.81it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.85it/s] 30%|███ | 7/23 [00:01<00:03, 4.88it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.91it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.90it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.94it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.94it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.80it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.86it/s] 61%|██████ | 14/23 [00:02<00:01, 4.89it/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, 4.81it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.87it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.88it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.88it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.91it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.78it/s] 100%|██████████| 23/23 [00:04<00:00, 4.80it/s] 100%|██████████| 23/23 [00:04<00:00, 4.85it/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<00:04, 4.63it/s] 9%|▊ | 2/23 [00:00<00:04, 4.79it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.85it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.87it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.90it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.77it/s] 30%|███ | 7/23 [00:01<00:03, 4.81it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.86it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.89it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.94it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.89it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.95it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.98it/s] 61%|██████ | 14/23 [00:02<00:01, 4.98it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.99it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.98it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.82it/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, 4.92it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.92it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.94it/s] 100%|██████████| 23/23 [00:04<00:00, 4.96it/s] 100%|██████████| 23/23 [00:04<00:00, 4.90it/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<00:04, 4.87it/s] 9%|▊ | 2/23 [00:00<00:04, 4.78it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.69it/s] 17%|█▋ | 4/23 [00:00<00:04, 4.70it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.78it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.83it/s] 30%|███ | 7/23 [00:01<00:03, 4.87it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.79it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.80it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.85it/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, 4.80it/s] 61%|██████ | 14/23 [00:02<00:01, 4.85it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.90it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.89it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.89it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.90it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.92it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.91it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.85it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.86it/s] 100%|██████████| 23/23 [00:04<00:00, 4.76it/s] 100%|██████████| 23/23 [00:04<00:00, 4.84it/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<00:04, 4.91it/s] 9%|▊ | 2/23 [00:00<00:04, 4.83it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.69it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.79it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.88it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.90it/s] 30%|███ | 7/23 [00:01<00:03, 4.96it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.80it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.86it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.91it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.93it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.95it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.80it/s] 61%|██████ | 14/23 [00:02<00:01, 4.86it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.92it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.98it/s] 74%|███████▍ | 17/23 [00:03<00:01, 5.00it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.89it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.93it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.94it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.86it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.90it/s] 100%|██████████| 23/23 [00:04<00:00, 4.93it/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 Finished.