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Victorian Girl with Animerge
animerge:v25
evevalentine2017
evevalentine2017
·
Jan 9
396
Input
prompt
Specify things to see in the output
(masterpiece, best quality), intricate details, thin, ((slim)), [Victorian:steampunk:0.6] setting, woman embodying a steampunk aesthetic with a Victorian twist, ((intricate corset design)), holding greasy spout oil can, steel boned corset with brass cogs and gear accents, layered bustle skirt in rich brocade, detailed with copper threading, high-collar ruffled blouse with puffed sleeves, leather gloves reaching just below the elbow, adorned with delicate clockwork pieces, striking leather boots with metal heel detailing, a combination of elegance and industrial flair, hair styled in a sophisticated updo, adorned with miniature steampunk-inspired hat, subtle yet striking makeup highlighting her sharp features, standing confidently in a vintage workshop setting, surrounded by brass and copper machinery, soft glow of ambient gaslights, casting dramatic shadows, the air filled with a sense of adventure and mechanical wonder, her presence a perfect blend of Victorian grace and steampunk boldness, captivating the viewer with a look that's both nostalgic and forward-thinking, <lora:more_details:0.8>,
negative_prompt
Specify things to not see in the output
bad-hands-5, By bad artist -neg, bad-image-v2-39000
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
num_outputs
Number of output images
4
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
927295856
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 SDE Karras
samping_steps
Number of denoising steps
50
cfg_scale
Scale for classifier-free guidance
7
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>
more_details.safetensors
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)
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)
By bad artist -neg.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-image-v2-39000.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
Output
https://files.tungsten.run/uploads/3f2dddd712bc4aae8e2f3863fc18df7d/00000-927295856.png
https://files.tungsten.run/uploads/ffa38ae5fe204ba88d515e69c0b745e5/00001-927295857.png
https://files.tungsten.run/uploads/c7f9119a8b204dd2a5051e2cf1fd834e/00002-927295858.png
https://files.tungsten.run/uploads/5e97ad3c18224c5e8f334ef739ac5e76/00003-927295859.png
Finished in 173.1 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: (masterpiece, best quality), intricate details, thin, ((slim)), [Victorian:steampunk:0.6] setting, woman embodying a steampunk aesthetic with a Victorian twist, ((intricate corset design)), holding greasy spout oil can, steel boned corset with brass cogs and gear accents, layered bustle skirt in rich brocade, detailed with copper threading, high-collar ruffled blouse with puffed sleeves, leather gloves reaching just below the elbow, adorned with delicate clockwork pieces, striking leather boots with metal heel detailing, a combination of elegance and industrial flair, hair styled in a sophisticated updo, adorned with miniature steampunk-inspired hat, subtle yet striking makeup highlighting her sharp features, standing confidently in a vintage workshop setting, surrounded by brass and copper machinery, soft glow of ambient gaslights, casting dramatic shadows, the air filled with a sense of adventure and mechanical wonder, her presence a perfect blend of Victorian grace and steampunk boldness, captivating the viewer with a look that's both nostalgic and forward-thinking, <lora:more_details:0.8>, , (ultra detailed:1.5), (masterpiece:1.5), (ultra realistic:1.5) Full negative prompt: bad-hands-5, By bad artist -neg, bad-image-v2-39000 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<01:31, 1.87s/it] 4%|▍ | 2/50 [00:03<01:28, 1.84s/it] 6%|▌ | 3/50 [00:05<01:19, 1.70s/it] 8%|▊ | 4/50 [00:06<01:18, 1.70s/it] 10%|█ | 5/50 [00:08<01:16, 1.70s/it] 12%|█▏ | 6/50 [00:10<01:14, 1.69s/it] 14%|█▍ | 7/50 [00:11<01:12, 1.69s/it] 16%|█▌ | 8/50 [00:13<01:13, 1.75s/it] 18%|█▊ | 9/50 [00:15<01:14, 1.81s/it] 20%|██ | 10/50 [00:17<01:11, 1.79s/it] 22%|██▏ | 11/50 [00:19<01:09, 1.79s/it] 24%|██▍ | 12/50 [00:21<01:07, 1.77s/it] 26%|██▌ | 13/50 [00:22<01:06, 1.80s/it] 28%|██▊ | 14/50 [00:24<01:03, 1.76s/it] 30%|███ | 15/50 [00:26<01:02, 1.78s/it] 32%|███▏ | 16/50 [00:28<01:08, 2.00s/it] 34%|███▍ | 17/50 [00:31<01:07, 2.04s/it] 36%|███▌ | 18/50 [00:32<01:03, 1.99s/it] 38%|███▊ | 19/50 [00:34<00:57, 1.87s/it] 40%|████ | 20/50 [00:36<00:57, 1.91s/it] 42%|████▏ | 21/50 [00:38<00:53, 1.84s/it] 44%|████▍ | 22/50 [00:39<00:49, 1.78s/it] 46%|████▌ | 23/50 [00:41<00:46, 1.71s/it] 48%|████▊ | 24/50 [00:43<00:44, 1.72s/it] 50%|█████ | 25/50 [00:44<00:40, 1.63s/it] 52%|█████▏ | 26/50 [00:46<00:38, 1.62s/it] 54%|█████▍ | 27/50 [00:47<00:36, 1.60s/it] 56%|█████▌ | 28/50 [00:49<00:36, 1.64s/it] 58%|█████▊ | 29/50 [00:51<00:34, 1.64s/it] 60%|██████ | 30/50 [00:52<00:34, 1.71s/it] 62%|██████▏ | 31/50 [00:54<00:31, 1.63s/it] 64%|██████▍ | 32/50 [00:55<00:28, 1.58s/it] 66%|██████▌ | 33/50 [00:57<00:27, 1.60s/it] 68%|██████▊ | 34/50 [00:58<00:24, 1.56s/it] 70%|███████ | 35/50 [01:00<00:23, 1.57s/it] 72%|███████▏ | 36/50 [01:01<00:20, 1.49s/it] 74%|███████▍ | 37/50 [01:03<00:18, 1.43s/it] 76%|███████▌ | 38/50 [01:04<00:16, 1.41s/it] 78%|███████▊ | 39/50 [01:06<00:16, 1.48s/it] 80%|████████ | 40/50 [01:07<00:14, 1.46s/it] 82%|████████▏ | 41/50 [01:09<00:13, 1.54s/it] 84%|████████▍ | 42/50 [01:10<00:12, 1.50s/it] 86%|████████▌ | 43/50 [01:12<00:10, 1.48s/it] 88%|████████▊ | 44/50 [01:13<00:09, 1.53s/it] 90%|█████████ | 45/50 [01:15<00:07, 1.50s/it] 92%|█████████▏| 46/50 [01:16<00:05, 1.44s/it] 94%|█████████▍| 47/50 [01:17<00:04, 1.38s/it] 96%|█████████▌| 48/50 [01:19<00:02, 1.39s/it] 98%|█████████▊| 49/50 [01:19<00:01, 1.19s/it] 100%|██████████| 50/50 [01:20<00:00, 1.02s/it] 100%|██████████| 50/50 [01:20<00:00, 1.61s/it] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 9.4ms Speed: 3.1ms preprocess, 9.4ms inference, 24.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:15, 1.45it/s] 9%|▊ | 2/23 [00:01<00:11, 1.82it/s] 13%|█▎ | 3/23 [00:01<00:10, 1.90it/s] 17%|█▋ | 4/23 [00:02<00:09, 2.10it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.24it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.24it/s] 30%|███ | 7/23 [00:03<00:06, 2.32it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.33it/s] 39%|███▉ | 9/23 [00:04<00:05, 2.44it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.54it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.53it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.44it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.46it/s] 61%|██████ | 14/23 [00:06<00:03, 2.34it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.40it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.42it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.37it/s] 78%|███████▊ | 18/23 [00:07<00:02, 2.42it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.48it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.58it/s] 91%|█████████▏| 21/23 [00:08<00:00, 2.58it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.94it/s] 100%|██████████| 23/23 [00:09<00:00, 3.38it/s] 100%|██████████| 23/23 [00:09<00:00, 2.47it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.01s 0: 640x640 (no detections), 7.1ms Speed: 2.8ms preprocess, 7.1ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 2 faces, 9.1ms Speed: 3.2ms preprocess, 9.1ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.08it/s] 9%|▊ | 2/23 [00:00<00:09, 2.17it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.08it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.22it/s] 22%|██▏ | 5/23 [00:02<00:07, 2.31it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.29it/s] 30%|███ | 7/23 [00:03<00:06, 2.33it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.32it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.44it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.50it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.55it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.42it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.44it/s] 61%|██████ | 14/23 [00:05<00:03, 2.33it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.39it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.44it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.32it/s] 78%|███████▊ | 18/23 [00:07<00:02, 2.34it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.44it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.54it/s] 91%|█████████▏| 21/23 [00:08<00:00, 2.55it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.90it/s] 100%|██████████| 23/23 [00:09<00:00, 3.34it/s] 100%|██████████| 23/23 [00:09<00:00, 2.50it/s] Decoding latents in cuda:0... done in 0.28s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.06it/s] 9%|▊ | 2/23 [00:00<00:10, 2.05it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.01it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.16it/s] 22%|██▏ | 5/23 [00:02<00:07, 2.26it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.21it/s] 30%|███ | 7/23 [00:03<00:07, 2.28it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.28it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.41it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.49it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.52it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.42it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.43it/s] 61%|██████ | 14/23 [00:06<00:03, 2.33it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.40it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.42it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.36it/s] 78%|███████▊ | 18/23 [00:07<00:02, 2.39it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.47it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.56it/s] 91%|█████████▏| 21/23 [00:08<00:00, 2.51it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.86it/s] 100%|██████████| 23/23 [00:09<00:00, 3.30it/s] 100%|██████████| 23/23 [00:09<00:00, 2.47it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.0ms Speed: 3.0ms preprocess, 7.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:11, 1.99it/s] 9%|▊ | 2/23 [00:00<00:09, 2.12it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.03it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.18it/s] 22%|██▏ | 5/23 [00:02<00:07, 2.28it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.24it/s] 30%|███ | 7/23 [00:03<00:06, 2.30it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.28it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.41it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.50it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.52it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.44it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.45it/s] 61%|██████ | 14/23 [00:06<00:03, 2.35it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.40it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.42it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.35it/s] 78%|███████▊ | 18/23 [00:07<00:02, 2.39it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.46it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.56it/s] 91%|█████████▏| 21/23 [00:08<00:00, 2.51it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.86it/s] 100%|██████████| 23/23 [00:09<00:00, 3.30it/s] 100%|██████████| 23/23 [00:09<00:00, 2.48it/s] Decoding latents in cuda:0... done in 0.22s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.07it/s] 9%|▊ | 2/23 [00:00<00:09, 2.18it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.09it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.19it/s] 22%|██▏ | 5/23 [00:02<00:07, 2.26it/s] 26%|██▌ | 6/23 [00:02<00:08, 2.12it/s] 30%|███ | 7/23 [00:03<00:07, 2.22it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.23it/s] 39%|███▉ | 9/23 [00:04<00:05, 2.35it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.39it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.42it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.36it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.40it/s] 61%|██████ | 14/23 [00:06<00:03, 2.32it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.39it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.42it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.35it/s] 78%|███████▊ | 18/23 [00:07<00:02, 2.37it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.45it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.50it/s] 91%|█████████▏| 21/23 [00:08<00:00, 2.53it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.90it/s] 100%|██████████| 23/23 [00:09<00:00, 3.34it/s] 100%|██████████| 23/23 [00:09<00:00, 2.46it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 6.9ms Speed: 2.7ms preprocess, 6.9ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 1 face, 7.3ms Speed: 2.6ms preprocess, 7.3ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.13it/s] 9%|▊ | 2/23 [00:00<00:09, 2.15it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.07it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.23it/s] 22%|██▏ | 5/23 [00:02<00:07, 2.33it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.29it/s] 30%|███ | 7/23 [00:03<00:06, 2.31it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.21it/s] 39%|███▉ | 9/23 [00:03<00:06, 2.32it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.41it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.46it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.37it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.41it/s] 61%|██████ | 14/23 [00:06<00:03, 2.29it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.38it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.43it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.37it/s] 78%|███████▊ | 18/23 [00:07<00:02, 2.39it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.35it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.46it/s] 91%|█████████▏| 21/23 [00:08<00:00, 2.46it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.79it/s] 100%|██████████| 23/23 [00:09<00:00, 3.22it/s] 100%|██████████| 23/23 [00:09<00:00, 2.45it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.3ms Speed: 2.8ms preprocess, 7.3ms inference, 5.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.06it/s] 9%|▊ | 2/23 [00:00<00:09, 2.12it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.04it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.17it/s] 22%|██▏ | 5/23 [00:02<00:07, 2.26it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.23it/s] 30%|███ | 7/23 [00:03<00:07, 2.28it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.29it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.40it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.43it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.44it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.37it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.36it/s] 61%|██████ | 14/23 [00:06<00:03, 2.28it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.35it/s] 70%|██████▉ | 16/23 [00:06<00:03, 2.28it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.26it/s] 78%|███████▊ | 18/23 [00:07<00:02, 2.28it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.39it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.51it/s] 91%|█████████▏| 21/23 [00:08<00:00, 2.51it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.88it/s] 100%|██████████| 23/23 [00:09<00:00, 3.31it/s] 100%|██████████| 23/23 [00:09<00:00, 2.44it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.01it/s] 9%|▊ | 2/23 [00:00<00:10, 2.01it/s] 13%|█▎ | 3/23 [00:01<00:10, 1.98it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.13it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.24it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.23it/s] 30%|███ | 7/23 [00:03<00:06, 2.29it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.31it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.41it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.49it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.53it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.43it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.45it/s] 61%|██████ | 14/23 [00:06<00:03, 2.34it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.41it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.45it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.36it/s] 78%|███████▊ | 18/23 [00:07<00:02, 2.40it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.34it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.44it/s] 91%|█████████▏| 21/23 [00:08<00:00, 2.33it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.64it/s] 100%|██████████| 23/23 [00:09<00:00, 3.05it/s] 100%|██████████| 23/23 [00:09<00:00, 2.43it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
(masterpiece, best quality), intricate details, thin, ((slim)), [Victorian:steampunk:0.6] setting, woman embodying a steampunk aesthetic with a Victorian twist, ((intricate corset design)), holding greasy spout oil can, steel boned corset with brass cogs and gear accents, layered bustle skirt in rich brocade, detailed with copper threading, high-collar ruffled blouse with puffed sleeves, leather gloves reaching just below the elbow, adorned with delicate clockwork pieces, striking leather boots with metal heel detailing, a combination of elegance and industrial flair, hair styled in a sophisticated updo, adorned with miniature steampunk-inspired hat, subtle yet striking makeup highlighting her sharp features, standing confidently in a vintage workshop setting, surrounded by brass and copper machinery, soft glow of ambient gaslights, casting dramatic shadows, the air filled with a sense of adventure and mechanical wonder, her presence a perfect blend of Victorian grace and steampunk boldness, captivating the viewer with a look that's both nostalgic and forward-thinking, <lora:more_details:0.8>,
negative_prompt
Specify things to not see in the output
bad-hands-5, By bad artist -neg, bad-image-v2-39000
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
num_outputs
Number of output images
4
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
927295856
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 SDE Karras
samping_steps
Number of denoising steps
50
cfg_scale
Scale for classifier-free guidance
7
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>
more_details.safetensors
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)
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)
By bad artist -neg.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-image-v2-39000.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/3f2dddd712bc4aae8e2f3863fc18df7d/00000-927295856.png
https://files.tungsten.run/uploads/ffa38ae5fe204ba88d515e69c0b745e5/00001-927295857.png
https://files.tungsten.run/uploads/c7f9119a8b204dd2a5051e2cf1fd834e/00002-927295858.png
https://files.tungsten.run/uploads/5e97ad3c18224c5e8f334ef739ac5e76/00003-927295859.png
Finished in 173.1 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: (masterpiece, best quality), intricate details, thin, ((slim)), [Victorian:steampunk:0.6] setting, woman embodying a steampunk aesthetic with a Victorian twist, ((intricate corset design)), holding greasy spout oil can, steel boned corset with brass cogs and gear accents, layered bustle skirt in rich brocade, detailed with copper threading, high-collar ruffled blouse with puffed sleeves, leather gloves reaching just below the elbow, adorned with delicate clockwork pieces, striking leather boots with metal heel detailing, a combination of elegance and industrial flair, hair styled in a sophisticated updo, adorned with miniature steampunk-inspired hat, subtle yet striking makeup highlighting her sharp features, standing confidently in a vintage workshop setting, surrounded by brass and copper machinery, soft glow of ambient gaslights, casting dramatic shadows, the air filled with a sense of adventure and mechanical wonder, her presence a perfect blend of Victorian grace and steampunk boldness, captivating the viewer with a look that's both nostalgic and forward-thinking, <lora:more_details:0.8>, , (ultra detailed:1.5), (masterpiece:1.5), (ultra realistic:1.5) Full negative prompt: bad-hands-5, By bad artist -neg, bad-image-v2-39000 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<01:31, 1.87s/it] 4%|▍ | 2/50 [00:03<01:28, 1.84s/it] 6%|▌ | 3/50 [00:05<01:19, 1.70s/it] 8%|▊ | 4/50 [00:06<01:18, 1.70s/it] 10%|█ | 5/50 [00:08<01:16, 1.70s/it] 12%|█▏ | 6/50 [00:10<01:14, 1.69s/it] 14%|█▍ | 7/50 [00:11<01:12, 1.69s/it] 16%|█▌ | 8/50 [00:13<01:13, 1.75s/it] 18%|█▊ | 9/50 [00:15<01:14, 1.81s/it] 20%|██ | 10/50 [00:17<01:11, 1.79s/it] 22%|██▏ | 11/50 [00:19<01:09, 1.79s/it] 24%|██▍ | 12/50 [00:21<01:07, 1.77s/it] 26%|██▌ | 13/50 [00:22<01:06, 1.80s/it] 28%|██▊ | 14/50 [00:24<01:03, 1.76s/it] 30%|███ | 15/50 [00:26<01:02, 1.78s/it] 32%|███▏ | 16/50 [00:28<01:08, 2.00s/it] 34%|███▍ | 17/50 [00:31<01:07, 2.04s/it] 36%|███▌ | 18/50 [00:32<01:03, 1.99s/it] 38%|███▊ | 19/50 [00:34<00:57, 1.87s/it] 40%|████ | 20/50 [00:36<00:57, 1.91s/it] 42%|████▏ | 21/50 [00:38<00:53, 1.84s/it] 44%|████▍ | 22/50 [00:39<00:49, 1.78s/it] 46%|████▌ | 23/50 [00:41<00:46, 1.71s/it] 48%|████▊ | 24/50 [00:43<00:44, 1.72s/it] 50%|█████ | 25/50 [00:44<00:40, 1.63s/it] 52%|█████▏ | 26/50 [00:46<00:38, 1.62s/it] 54%|█████▍ | 27/50 [00:47<00:36, 1.60s/it] 56%|█████▌ | 28/50 [00:49<00:36, 1.64s/it] 58%|█████▊ | 29/50 [00:51<00:34, 1.64s/it] 60%|██████ | 30/50 [00:52<00:34, 1.71s/it] 62%|██████▏ | 31/50 [00:54<00:31, 1.63s/it] 64%|██████▍ | 32/50 [00:55<00:28, 1.58s/it] 66%|██████▌ | 33/50 [00:57<00:27, 1.60s/it] 68%|██████▊ | 34/50 [00:58<00:24, 1.56s/it] 70%|███████ | 35/50 [01:00<00:23, 1.57s/it] 72%|███████▏ | 36/50 [01:01<00:20, 1.49s/it] 74%|███████▍ | 37/50 [01:03<00:18, 1.43s/it] 76%|███████▌ | 38/50 [01:04<00:16, 1.41s/it] 78%|███████▊ | 39/50 [01:06<00:16, 1.48s/it] 80%|████████ | 40/50 [01:07<00:14, 1.46s/it] 82%|████████▏ | 41/50 [01:09<00:13, 1.54s/it] 84%|████████▍ | 42/50 [01:10<00:12, 1.50s/it] 86%|████████▌ | 43/50 [01:12<00:10, 1.48s/it] 88%|████████▊ | 44/50 [01:13<00:09, 1.53s/it] 90%|█████████ | 45/50 [01:15<00:07, 1.50s/it] 92%|█████████▏| 46/50 [01:16<00:05, 1.44s/it] 94%|█████████▍| 47/50 [01:17<00:04, 1.38s/it] 96%|█████████▌| 48/50 [01:19<00:02, 1.39s/it] 98%|█████████▊| 49/50 [01:19<00:01, 1.19s/it] 100%|██████████| 50/50 [01:20<00:00, 1.02s/it] 100%|██████████| 50/50 [01:20<00:00, 1.61s/it] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 9.4ms Speed: 3.1ms preprocess, 9.4ms inference, 24.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:15, 1.45it/s] 9%|▊ | 2/23 [00:01<00:11, 1.82it/s] 13%|█▎ | 3/23 [00:01<00:10, 1.90it/s] 17%|█▋ | 4/23 [00:02<00:09, 2.10it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.24it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.24it/s] 30%|███ | 7/23 [00:03<00:06, 2.32it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.33it/s] 39%|███▉ | 9/23 [00:04<00:05, 2.44it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.54it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.53it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.44it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.46it/s] 61%|██████ | 14/23 [00:06<00:03, 2.34it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.40it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.42it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.37it/s] 78%|███████▊ | 18/23 [00:07<00:02, 2.42it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.48it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.58it/s] 91%|█████████▏| 21/23 [00:08<00:00, 2.58it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.94it/s] 100%|██████████| 23/23 [00:09<00:00, 3.38it/s] 100%|██████████| 23/23 [00:09<00:00, 2.47it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.01s 0: 640x640 (no detections), 7.1ms Speed: 2.8ms preprocess, 7.1ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 2 faces, 9.1ms Speed: 3.2ms preprocess, 9.1ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.08it/s] 9%|▊ | 2/23 [00:00<00:09, 2.17it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.08it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.22it/s] 22%|██▏ | 5/23 [00:02<00:07, 2.31it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.29it/s] 30%|███ | 7/23 [00:03<00:06, 2.33it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.32it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.44it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.50it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.55it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.42it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.44it/s] 61%|██████ | 14/23 [00:05<00:03, 2.33it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.39it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.44it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.32it/s] 78%|███████▊ | 18/23 [00:07<00:02, 2.34it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.44it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.54it/s] 91%|█████████▏| 21/23 [00:08<00:00, 2.55it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.90it/s] 100%|██████████| 23/23 [00:09<00:00, 3.34it/s] 100%|██████████| 23/23 [00:09<00:00, 2.50it/s] Decoding latents in cuda:0... done in 0.28s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.06it/s] 9%|▊ | 2/23 [00:00<00:10, 2.05it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.01it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.16it/s] 22%|██▏ | 5/23 [00:02<00:07, 2.26it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.21it/s] 30%|███ | 7/23 [00:03<00:07, 2.28it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.28it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.41it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.49it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.52it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.42it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.43it/s] 61%|██████ | 14/23 [00:06<00:03, 2.33it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.40it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.42it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.36it/s] 78%|███████▊ | 18/23 [00:07<00:02, 2.39it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.47it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.56it/s] 91%|█████████▏| 21/23 [00:08<00:00, 2.51it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.86it/s] 100%|██████████| 23/23 [00:09<00:00, 3.30it/s] 100%|██████████| 23/23 [00:09<00:00, 2.47it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.0ms Speed: 3.0ms preprocess, 7.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:11, 1.99it/s] 9%|▊ | 2/23 [00:00<00:09, 2.12it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.03it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.18it/s] 22%|██▏ | 5/23 [00:02<00:07, 2.28it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.24it/s] 30%|███ | 7/23 [00:03<00:06, 2.30it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.28it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.41it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.50it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.52it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.44it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.45it/s] 61%|██████ | 14/23 [00:06<00:03, 2.35it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.40it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.42it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.35it/s] 78%|███████▊ | 18/23 [00:07<00:02, 2.39it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.46it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.56it/s] 91%|█████████▏| 21/23 [00:08<00:00, 2.51it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.86it/s] 100%|██████████| 23/23 [00:09<00:00, 3.30it/s] 100%|██████████| 23/23 [00:09<00:00, 2.48it/s] Decoding latents in cuda:0... done in 0.22s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.07it/s] 9%|▊ | 2/23 [00:00<00:09, 2.18it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.09it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.19it/s] 22%|██▏ | 5/23 [00:02<00:07, 2.26it/s] 26%|██▌ | 6/23 [00:02<00:08, 2.12it/s] 30%|███ | 7/23 [00:03<00:07, 2.22it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.23it/s] 39%|███▉ | 9/23 [00:04<00:05, 2.35it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.39it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.42it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.36it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.40it/s] 61%|██████ | 14/23 [00:06<00:03, 2.32it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.39it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.42it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.35it/s] 78%|███████▊ | 18/23 [00:07<00:02, 2.37it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.45it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.50it/s] 91%|█████████▏| 21/23 [00:08<00:00, 2.53it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.90it/s] 100%|██████████| 23/23 [00:09<00:00, 3.34it/s] 100%|██████████| 23/23 [00:09<00:00, 2.46it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 6.9ms Speed: 2.7ms preprocess, 6.9ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 1 face, 7.3ms Speed: 2.6ms preprocess, 7.3ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.13it/s] 9%|▊ | 2/23 [00:00<00:09, 2.15it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.07it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.23it/s] 22%|██▏ | 5/23 [00:02<00:07, 2.33it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.29it/s] 30%|███ | 7/23 [00:03<00:06, 2.31it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.21it/s] 39%|███▉ | 9/23 [00:03<00:06, 2.32it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.41it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.46it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.37it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.41it/s] 61%|██████ | 14/23 [00:06<00:03, 2.29it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.38it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.43it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.37it/s] 78%|███████▊ | 18/23 [00:07<00:02, 2.39it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.35it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.46it/s] 91%|█████████▏| 21/23 [00:08<00:00, 2.46it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.79it/s] 100%|██████████| 23/23 [00:09<00:00, 3.22it/s] 100%|██████████| 23/23 [00:09<00:00, 2.45it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.3ms Speed: 2.8ms preprocess, 7.3ms inference, 5.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.06it/s] 9%|▊ | 2/23 [00:00<00:09, 2.12it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.04it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.17it/s] 22%|██▏ | 5/23 [00:02<00:07, 2.26it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.23it/s] 30%|███ | 7/23 [00:03<00:07, 2.28it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.29it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.40it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.43it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.44it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.37it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.36it/s] 61%|██████ | 14/23 [00:06<00:03, 2.28it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.35it/s] 70%|██████▉ | 16/23 [00:06<00:03, 2.28it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.26it/s] 78%|███████▊ | 18/23 [00:07<00:02, 2.28it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.39it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.51it/s] 91%|█████████▏| 21/23 [00:08<00:00, 2.51it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.88it/s] 100%|██████████| 23/23 [00:09<00:00, 3.31it/s] 100%|██████████| 23/23 [00:09<00:00, 2.44it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.01it/s] 9%|▊ | 2/23 [00:00<00:10, 2.01it/s] 13%|█▎ | 3/23 [00:01<00:10, 1.98it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.13it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.24it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.23it/s] 30%|███ | 7/23 [00:03<00:06, 2.29it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.31it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.41it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.49it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.53it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.43it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.45it/s] 61%|██████ | 14/23 [00:06<00:03, 2.34it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.41it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.45it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.36it/s] 78%|███████▊ | 18/23 [00:07<00:02, 2.40it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.34it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.44it/s] 91%|█████████▏| 21/23 [00:08<00:00, 2.33it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.64it/s] 100%|██████████| 23/23 [00:09<00:00, 3.05it/s] 100%|██████████| 23/23 [00:09<00:00, 2.43it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Uploading outputs... Finished.