Petals Art with Soranix
Input
prompt
Specify things to see in the output
sanachan, (masterpiece, top quality, best quality, official art, beautiful and aesthetic:1.2), (1girl:1.3), extremely detailed,(fractal art:1.1),(colorful:1.1)(flowers:1.3),highest detailed,(zentangle:1.2), (dynamic pose), (abstract background:1.3), (many colors:1.4), ,(earrings), (feathers:1.5), <lora:FaceBeauty_qinglong_V3:1>
negative_prompt
Specify things to not see in the output
(worst quality, low quality:2), nsfw, logo, signature, watermark, text, EasyNegativeV2, verybadimagenegative_v1.3, ng_deepnegative_v1_75t
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.
3678817358
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
Restart
samping_steps
Number of denoising steps
60
cfg_scale
Scale for classifier-free guidance
8
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
blessed2_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
true
Output
Finished in 203.2 seconds
v0.12: Pulling from evevalentine2017/soranix
578acb154839: Already exists
ac65017cfc56: Already exists
146269b80f9c: Already exists
b51bc62cc3ca: Already exists
4ba34dd48a55: Already exists
2c0d7edf2b4f: Already exists
bd3aa092d934: Already exists
a2a0b079260c: Already exists
48e8a1cea0b1: Already exists
607175607db9: Already exists
44762e60be28: Already exists
d1e8a6995bc7: Already exists
8915fc22d7d8: Already exists
e186b03af121: Already exists
4f4fb700ef54: Already exists
235071021718: Already exists
ed46bea2bf63: Pull complete
449ad5682a78: Pull complete
09b2ef77422b: Pull complete
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: sanachan, (masterpiece, top quality, best quality, official art, beautiful and aesthetic:1.2), (1girl:1.3), extremely detailed,(fractal art:1.1),(colorful:1.1)(flowers:1.3),highest detailed,(zentangle:1.2), (dynamic pose), (abstract background:1.3), (many colors:1.4), ,(earrings), (feathers:1.5), <lora:FaceBeauty_qinglong_V3:1>
Full negative prompt: (worst quality, low quality:2), nsfw, logo, signature, watermark, text, EasyNegativeV2, verybadimagenegative_v1.3, ng_deepnegative_v1_75t
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Decoding latents in cuda:0...
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Move latents to cpu...
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0: 640x640 1 face, 7.4ms
Speed: 3.9ms preprocess, 7.4ms inference, 37.5ms postprocess per image at shape (1, 3, 640, 640)
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0: 640x640 5 hands, 7.3ms
Speed: 2.8ms preprocess, 7.3ms inference, 2.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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Move latents to cpu...
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.2ms
Speed: 2.8ms preprocess, 7.2ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 7.3ms
Speed: 2.9ms preprocess, 7.3ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 2 with 2nd settings.
0: 640x640 1 face, 7.1ms
Speed: 2.6ms preprocess, 7.1ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 7.0ms
Speed: 2.8ms preprocess, 7.0ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 2nd settings.
0: 640x640 1 face, 7.1ms
Speed: 2.6ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 6.9ms
Speed: 2.6ms preprocess, 6.9ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
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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
sanachan, (masterpiece, top quality, best quality, official art, beautiful and aesthetic:1.2), (1girl:1.3), extremely detailed,(fractal art:1.1),(colorful:1.1)(flowers:1.3),highest detailed,(zentangle:1.2), (dynamic pose), (abstract background:1.3), (many colors:1.4), ,(earrings), (feathers:1.5), <lora:FaceBeauty_qinglong_V3:1>
negative_prompt
Specify things to not see in the output
(worst quality, low quality:2), nsfw, logo, signature, watermark, text, EasyNegativeV2, verybadimagenegative_v1.3, ng_deepnegative_v1_75t
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.
3678817358
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
Restart
samping_steps
Number of denoising steps
60
cfg_scale
Scale for classifier-free guidance
8
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
blessed2_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
true
Finished in 203.2 seconds
v0.12: Pulling from evevalentine2017/soranix
578acb154839: Already exists
ac65017cfc56: Already exists
146269b80f9c: Already exists
b51bc62cc3ca: Already exists
4ba34dd48a55: Already exists
2c0d7edf2b4f: Already exists
bd3aa092d934: Already exists
a2a0b079260c: Already exists
48e8a1cea0b1: Already exists
607175607db9: Already exists
44762e60be28: Already exists
d1e8a6995bc7: Already exists
8915fc22d7d8: Already exists
e186b03af121: Already exists
4f4fb700ef54: Already exists
235071021718: Already exists
ed46bea2bf63: Pull complete
449ad5682a78: Pull complete
09b2ef77422b: Pull complete
Setting up the model...
Processing...
Loading VAE weight: models/VAE/blessed2_fp16.safetensors
Full prompt: sanachan, (masterpiece, top quality, best quality, official art, beautiful and aesthetic:1.2), (1girl:1.3), extremely detailed,(fractal art:1.1),(colorful:1.1)(flowers:1.3),highest detailed,(zentangle:1.2), (dynamic pose), (abstract background:1.3), (many colors:1.4), ,(earrings), (feathers:1.5), <lora:FaceBeauty_qinglong_V3:1>
Full negative prompt: (worst quality, low quality:2), nsfw, logo, signature, watermark, text, EasyNegativeV2, verybadimagenegative_v1.3, ng_deepnegative_v1_75t
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67%|██████▋ | 40/60 [00:52<00:26, 1.31s/it]
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Decoding latents in cuda:0...
done in 0.97s
Move latents to cpu...
done in 0.02s
0: 640x640 1 face, 7.4ms
Speed: 3.9ms preprocess, 7.4ms inference, 37.5ms postprocess per image at shape (1, 3, 640, 640)
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71%|███████ | 24/34 [00:07<00:03, 3.20it/s]
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100%|██████████| 34/34 [00:10<00:00, 3.76it/s]
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 5 hands, 7.3ms
Speed: 2.8ms preprocess, 7.3ms inference, 2.3ms postprocess per image at shape (1, 3, 640, 640)
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Decoding latents in cuda:0...
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Move latents to cpu...
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100%|██████████| 34/34 [00:10<00:00, 3.76it/s]
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Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
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35%|███▌ | 12/34 [00:03<00:06, 3.17it/s]
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41%|████ | 14/34 [00:04<00:06, 3.18it/s]
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68%|██████▊ | 23/34 [00:07<00:03, 3.18it/s]
71%|███████ | 24/34 [00:07<00:03, 3.18it/s]
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82%|████████▏ | 28/34 [00:08<00:01, 3.17it/s]
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88%|████████▊ | 30/34 [00:09<00:01, 3.18it/s]
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100%|██████████| 34/34 [00:10<00:00, 3.73it/s]
100%|██████████| 34/34 [00:10<00:00, 3.22it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
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29%|██▉ | 10/34 [00:03<00:07, 3.17it/s]
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41%|████ | 14/34 [00:04<00:06, 3.18it/s]
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71%|███████ | 24/34 [00:07<00:03, 3.17it/s]
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100%|██████████| 34/34 [00:10<00:00, 3.73it/s]
100%|██████████| 34/34 [00:10<00:00, 3.22it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
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100%|██████████| 34/34 [00:10<00:00, 3.73it/s]
100%|██████████| 34/34 [00:10<00:00, 3.22it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 1 face, 7.2ms
Speed: 2.8ms preprocess, 7.2ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/34 [00:00<?, ?it/s]
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18%|█▊ | 6/34 [00:01<00:08, 3.18it/s]
21%|██ | 7/34 [00:02<00:08, 3.17it/s]
24%|██▎ | 8/34 [00:02<00:08, 3.18it/s]
26%|██▋ | 9/34 [00:02<00:07, 3.18it/s]
29%|██▉ | 10/34 [00:03<00:07, 3.17it/s]
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68%|██████▊ | 23/34 [00:07<00:03, 3.16it/s]
71%|███████ | 24/34 [00:07<00:03, 3.16it/s]
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79%|███████▉ | 27/34 [00:08<00:02, 3.17it/s]
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88%|████████▊ | 30/34 [00:09<00:01, 3.17it/s]
91%|█████████ | 31/34 [00:09<00:00, 3.17it/s]
94%|█████████▍| 32/34 [00:10<00:00, 3.15it/s]
97%|█████████▋| 33/34 [00:10<00:00, 3.16it/s]
100%|██████████| 34/34 [00:10<00:00, 3.71it/s]
100%|██████████| 34/34 [00:10<00:00, 3.22it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 7.3ms
Speed: 2.9ms preprocess, 7.3ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 2 with 2nd settings.
0: 640x640 1 face, 7.1ms
Speed: 2.6ms preprocess, 7.1ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640)
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15%|█▍ | 5/34 [00:01<00:09, 3.19it/s]
18%|█▊ | 6/34 [00:01<00:08, 3.19it/s]
21%|██ | 7/34 [00:02<00:08, 3.17it/s]
24%|██▎ | 8/34 [00:02<00:08, 3.18it/s]
26%|██▋ | 9/34 [00:02<00:07, 3.17it/s]
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59%|█████▉ | 20/34 [00:06<00:04, 3.16it/s]
62%|██████▏ | 21/34 [00:06<00:04, 3.17it/s]
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68%|██████▊ | 23/34 [00:07<00:03, 3.18it/s]
71%|███████ | 24/34 [00:07<00:03, 3.18it/s]
74%|███████▎ | 25/34 [00:07<00:02, 3.18it/s]
76%|███████▋ | 26/34 [00:08<00:02, 3.17it/s]
79%|███████▉ | 27/34 [00:08<00:02, 3.18it/s]
82%|████████▏ | 28/34 [00:08<00:01, 3.18it/s]
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88%|████████▊ | 30/34 [00:09<00:01, 3.18it/s]
91%|█████████ | 31/34 [00:09<00:00, 3.18it/s]
94%|█████████▍| 32/34 [00:10<00:00, 3.17it/s]
97%|█████████▋| 33/34 [00:10<00:00, 3.17it/s]
100%|██████████| 34/34 [00:10<00:00, 3.74it/s]
100%|██████████| 34/34 [00:10<00:00, 3.23it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 (no detections), 7.0ms
Speed: 2.8ms preprocess, 7.0ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640)
[-] ADetailer: nothing detected on image 3 with 2nd settings.
0: 640x640 1 face, 7.1ms
Speed: 2.6ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/34 [00:00<?, ?it/s]
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12%|█▏ | 4/34 [00:01<00:09, 3.18it/s]
15%|█▍ | 5/34 [00:01<00:09, 3.19it/s]
18%|█▊ | 6/34 [00:01<00:08, 3.19it/s]
21%|██ | 7/34 [00:02<00:08, 3.18it/s]
24%|██▎ | 8/34 [00:02<00:08, 3.18it/s]
26%|██▋ | 9/34 [00:02<00:07, 3.19it/s]
29%|██▉ | 10/34 [00:03<00:07, 3.18it/s]
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35%|███▌ | 12/34 [00:03<00:06, 3.17it/s]
38%|███▊ | 13/34 [00:04<00:06, 3.16it/s]
41%|████ | 14/34 [00:04<00:06, 3.17it/s]
44%|████▍ | 15/34 [00:04<00:05, 3.18it/s]
47%|████▋ | 16/34 [00:05<00:05, 3.18it/s]
50%|█████ | 17/34 [00:05<00:05, 3.18it/s]
53%|█████▎ | 18/34 [00:05<00:05, 3.14it/s]
56%|█████▌ | 19/34 [00:05<00:04, 3.16it/s]
59%|█████▉ | 20/34 [00:06<00:04, 3.16it/s]
62%|██████▏ | 21/34 [00:06<00:04, 3.16it/s]
65%|██████▍ | 22/34 [00:06<00:03, 3.17it/s]
68%|██████▊ | 23/34 [00:07<00:03, 3.17it/s]
71%|███████ | 24/34 [00:07<00:03, 3.18it/s]
74%|███████▎ | 25/34 [00:07<00:02, 3.18it/s]
76%|███████▋ | 26/34 [00:08<00:02, 3.17it/s]
79%|███████▉ | 27/34 [00:08<00:02, 3.17it/s]
82%|████████▏ | 28/34 [00:08<00:01, 3.18it/s]
85%|████████▌ | 29/34 [00:09<00:01, 3.17it/s]
88%|████████▊ | 30/34 [00:09<00:01, 3.17it/s]
91%|█████████ | 31/34 [00:09<00:00, 3.18it/s]
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100%|██████████| 34/34 [00:10<00:00, 3.74it/s]
100%|██████████| 34/34 [00:10<00:00, 3.23it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
0: 640x640 1 hand, 6.9ms
Speed: 2.6ms preprocess, 6.9ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640)
0%| | 0/34 [00:00<?, ?it/s]
3%|▎ | 1/34 [00:00<00:09, 3.32it/s]
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9%|▉ | 3/34 [00:00<00:09, 3.22it/s]
12%|█▏ | 4/34 [00:01<00:09, 3.19it/s]
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18%|█▊ | 6/34 [00:01<00:08, 3.19it/s]
21%|██ | 7/34 [00:02<00:08, 3.18it/s]
24%|██▎ | 8/34 [00:02<00:08, 3.19it/s]
26%|██▋ | 9/34 [00:02<00:07, 3.19it/s]
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56%|█████▌ | 19/34 [00:05<00:04, 3.18it/s]
59%|█████▉ | 20/34 [00:06<00:04, 3.17it/s]
62%|██████▏ | 21/34 [00:06<00:04, 3.18it/s]
65%|██████▍ | 22/34 [00:06<00:03, 3.17it/s]
68%|██████▊ | 23/34 [00:07<00:03, 3.17it/s]
71%|███████ | 24/34 [00:07<00:03, 3.17it/s]
74%|███████▎ | 25/34 [00:07<00:02, 3.17it/s]
76%|███████▋ | 26/34 [00:08<00:02, 3.17it/s]
79%|███████▉ | 27/34 [00:08<00:02, 3.18it/s]
82%|████████▏ | 28/34 [00:08<00:01, 3.18it/s]
85%|████████▌ | 29/34 [00:09<00:01, 3.17it/s]
88%|████████▊ | 30/34 [00:09<00:01, 3.17it/s]
91%|█████████ | 31/34 [00:09<00:00, 3.18it/s]
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100%|██████████| 34/34 [00:10<00:00, 3.74it/s]
100%|██████████| 34/34 [00:10<00:00, 3.23it/s]
Decoding latents in cuda:0...
done in 0.24s
Move latents to cpu...
done in 0.0s
Finished.