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Sci-fi Bikes with Animesh
animesh:v2.1
evevalentine2017
evevalentine2017
·
Jan 10
346
Input
prompt
Specify things to see in the output
low angle shot, (1 cute_girl:1.2), white bodysuit, (big smile:1.2), (pink hair:1.4), (long legs), red blush, (cute girl is driving a motorcycle on reflective floor:1.4), side view, headphones, glass:1.4_mask_helmet, (cat_ear_helmet), (cybernetic), (mecha suit), (futuristic), (combat attire), (mix of organic and inorganic), (exposed circuitry), (massive scale), (mono-eyed), (weaponized), (polished metal), (futuristic background), (mechanical beauty), (technology wonder), full body, <lora:softmecha-V5:0.6>, <lora:akirabikev0.2:0.7>, <lora:EggmanTech-20:0.3>, (natural skin texture, hyperrealism, soft light, sharp, perfect face),
negative_prompt
Specify things to not see in the output
((portrait)), ((focus on face)), ((more than 2 arms:2)), ((more than 2 legs:2)), ((nsfw:2)), ((nipples:2)), easynegative, ng_deepnegative_v1_75t, (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)), ((watermark))
num_outputs
Number of output images
4
width
Output image width
768
height
Output image height
768
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
0.3
contrast
Adjust contrast
-0.6
saturation
Adjust saturation
0.6
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
779632157
input_image
Base image that the output should be generated from. This is useful when you want to add some detail to input_image. For example, if prompt is "sunglasses" and input_image has a man, there is the man wearing sunglasses in the output.
input_image_redrawing_strength
How differ the output is from input_image. Used only when input_image is given.
0.55
reference_image
Image with which the output should share identity (e.g. face of a person or type of a dog)
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.pt
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
EggmanTech-20.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
akirabikev0.2.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
softmecha-V5.safetensors
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
easynegative.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.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/227d6f8e892349e0bb34c2ca4b584d9e/00000-779632157.webp
https://files.tungsten.run/uploads/f5f803fa79ce4874a556b40d41c1d82d/00001-779632158.webp
https://files.tungsten.run/uploads/2db0c4a2d7344b63b1d5643cb9a4e566/00002-779632159.webp
https://files.tungsten.run/uploads/e863066c9abb474db1c7716de6654198/00003-779632160.webp
Finished in 183.8 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/ClearVAE_V2.3_fp16.pt Full prompt: low angle shot, (1 cute_girl:1.2), white bodysuit, (big smile:1.2), (pink hair:1.4), (long legs), red blush, (cute girl is driving a motorcycle on reflective floor:1.4), side view, headphones, glass:1.4_mask_helmet, (cat_ear_helmet), (cybernetic), (mecha suit), (futuristic), (combat attire), (mix of organic and inorganic), (exposed circuitry), (massive scale), (mono-eyed), (weaponized), (polished metal), (futuristic background), (mechanical beauty), (technology wonder), full body, <lora:softmecha-V5:0.6>, <lora:akirabikev0.2:0.7>, <lora:EggmanTech-20:0.3>, (natural skin texture, hyperrealism, soft light, sharp, perfect face),, <lora:add_brightness:0.3>, <lora:contrast_slider_v10:-0.6>, <lora:add_saturation:0.6> Full negative prompt: ((portrait)), ((focus on face)), ((more than 2 arms:2)), ((more than 2 legs:2)), ((nsfw:2)), ((nipples:2)), easynegative, ng_deepnegative_v1_75t, (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)), ((watermark)) 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:02<01:46, 2.17s/it] 4%|▍ | 2/50 [00:03<01:33, 1.94s/it] 6%|▌ | 3/50 [00:05<01:23, 1.77s/it] 8%|▊ | 4/50 [00:07<01:20, 1.75s/it] 10%|█ | 5/50 [00:08<01:18, 1.74s/it] 12%|█▏ | 6/50 [00:10<01:16, 1.73s/it] 14%|█▍ | 7/50 [00:12<01:14, 1.72s/it] 16%|█▌ | 8/50 [00:14<01:14, 1.77s/it] 18%|█▊ | 9/50 [00:16<01:13, 1.80s/it] 20%|██ | 10/50 [00:17<01:11, 1.79s/it] 22%|██▏ | 11/50 [00:19<01:12, 1.85s/it] 24%|██▍ | 12/50 [00:21<01:09, 1.84s/it] 26%|██▌ | 13/50 [00:23<01:08, 1.86s/it] 28%|██▊ | 14/50 [00:25<01:05, 1.82s/it] 30%|███ | 15/50 [00:27<01:03, 1.82s/it] 32%|███▏ | 16/50 [00:28<01:00, 1.79s/it] 34%|███▍ | 17/50 [00:30<00:58, 1.77s/it] 36%|███▌ | 18/50 [00:32<00:58, 1.83s/it] 38%|███▊ | 19/50 [00:34<00:54, 1.76s/it] 40%|████ | 20/50 [00:36<00:53, 1.79s/it] 42%|████▏ | 21/50 [00:37<00:51, 1.79s/it] 44%|████▍ | 22/50 [00:39<00:49, 1.78s/it] 46%|████▌ | 23/50 [00:41<00:46, 1.72s/it] 48%|████▊ | 24/50 [00:42<00:45, 1.75s/it] 50%|█████ | 25/50 [00:44<00:41, 1.66s/it] 52%|█████▏ | 26/50 [00:46<00:39, 1.65s/it] 54%|█████▍ | 27/50 [00:47<00:37, 1.63s/it] 56%|█████▌ | 28/50 [00:49<00:36, 1.68s/it] 58%|█████▊ | 29/50 [00:51<00:35, 1.68s/it] 60%|██████ | 30/50 [00:52<00:34, 1.75s/it] 62%|██████▏ | 31/50 [00:54<00:31, 1.67s/it] 64%|██████▍ | 32/50 [00:55<00:29, 1.62s/it] 66%|██████▌ | 33/50 [00:57<00:27, 1.64s/it] 68%|██████▊ | 34/50 [00:59<00:25, 1.59s/it] 70%|███████ | 35/50 [01:00<00:23, 1.59s/it] 72%|███████▏ | 36/50 [01:02<00:21, 1.51s/it] 74%|███████▍ | 37/50 [01:03<00:18, 1.45s/it] 76%|███████▌ | 38/50 [01:04<00:17, 1.44s/it] 78%|███████▊ | 39/50 [01:06<00:16, 1.50s/it] 80%|████████ | 40/50 [01:07<00:14, 1.49s/it] 82%|████████▏ | 41/50 [01:09<00:14, 1.56s/it] 84%|████████▍ | 42/50 [01:11<00:12, 1.52s/it] 86%|████████▌ | 43/50 [01:12<00:10, 1.50s/it] 88%|████████▊ | 44/50 [01:14<00:09, 1.56s/it] 90%|█████████ | 45/50 [01:15<00:07, 1.53s/it] 92%|█████████▏| 46/50 [01:17<00:05, 1.47s/it] 94%|█████████▍| 47/50 [01:18<00:04, 1.41s/it] 96%|█████████▌| 48/50 [01:19<00:02, 1.42s/it] 98%|█████████▊| 49/50 [01:20<00:01, 1.22s/it] 100%|██████████| 50/50 [01:21<00:00, 1.04s/it] 100%|██████████| 50/50 [01:21<00:00, 1.62s/it] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.7ms Speed: 3.2ms preprocess, 7.7ms inference, 23.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:18, 1.18it/s] 9%|▊ | 2/23 [00:01<00:13, 1.58it/s] 13%|█▎ | 3/23 [00:01<00:11, 1.76it/s] 17%|█▋ | 4/23 [00:02<00:09, 1.97it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.13it/s] 26%|██▌ | 6/23 [00:03<00:07, 2.13it/s] 30%|███ | 7/23 [00:03<00:07, 2.22it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.22it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.32it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.44it/s] 48%|████▊ | 11/23 [00:05<00:04, 2.51it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.40it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.43it/s] 61%|██████ | 14/23 [00:06<00:03, 2.31it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.37it/s] 70%|██████▉ | 16/23 [00:07<00:02, 2.41it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.34it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.35it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.44it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.53it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.55it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.88it/s] 100%|██████████| 23/23 [00:09<00:00, 3.30it/s] 100%|██████████| 23/23 [00:09<00:00, 2.38it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.1ms Speed: 3.1ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.08it/s] 9%|▊ | 2/23 [00:00<00:09, 2.14it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.05it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.19it/s] 22%|██▏ | 5/23 [00:02<00:07, 2.27it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.21it/s] 30%|███ | 7/23 [00:03<00:07, 2.27it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.27it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.38it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.46it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.49it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.40it/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, 2.37it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.37it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.31it/s] 78%|███████▊ | 18/23 [00:07<00:02, 2.33it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.41it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.50it/s] 91%|█████████▏| 21/23 [00:08<00:00, 2.49it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.85it/s] 100%|██████████| 23/23 [00:09<00:00, 3.27it/s] 100%|██████████| 23/23 [00:09<00:00, 2.46it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.7ms Speed: 3.3ms preprocess, 7.7ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:11, 1.94it/s] 9%|▊ | 2/23 [00:00<00:10, 2.02it/s] 13%|█▎ | 3/23 [00:01<00:10, 1.93it/s] 17%|█▋ | 4/23 [00:01<00:09, 2.03it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.12it/s] 26%|██▌ | 6/23 [00:02<00:08, 2.10it/s] 30%|███ | 7/23 [00:03<00:07, 2.17it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.15it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.28it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.38it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.41it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.33it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.36it/s] 61%|██████ | 14/23 [00:06<00:03, 2.29it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.35it/s] 70%|██████▉ | 16/23 [00:07<00:02, 2.39it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.32it/s] 78%|███████▊ | 18/23 [00:07<00:02, 2.35it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.42it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.50it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.50it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.85it/s] 100%|██████████| 23/23 [00:09<00:00, 3.27it/s] 100%|██████████| 23/23 [00:09<00:00, 2.40it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.0ms Speed: 2.7ms preprocess, 7.0ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 1 face, 7.6ms Speed: 2.9ms preprocess, 7.6ms 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, 2.04it/s] 9%|▊ | 2/23 [00:00<00:10, 2.10it/s] 13%|█▎ | 3/23 [00:01<00:10, 2.00it/s] 17%|█▋ | 4/23 [00:01<00:09, 2.10it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.21it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.16it/s] 30%|███ | 7/23 [00:03<00:07, 2.23it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.22it/s] 39%|███▉ | 9/23 [00:04<00:05, 2.34it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.43it/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, 2.37it/s] 61%|██████ | 14/23 [00:06<00:03, 2.30it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.35it/s] 70%|██████▉ | 16/23 [00:07<00:02, 2.35it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.29it/s] 78%|███████▊ | 18/23 [00:07<00:02, 2.30it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.38it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.46it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.44it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.80it/s] 100%|██████████| 23/23 [00:09<00:00, 3.17it/s] 100%|██████████| 23/23 [00:09<00:00, 2.41it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.3ms Speed: 2.9ms preprocess, 7.3ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.01it/s] 9%|▊ | 2/23 [00:00<00:10, 2.07it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.04it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.19it/s] 22%|██▏ | 5/23 [00:02<00:07, 2.25it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.23it/s] 30%|███ | 7/23 [00:03<00:07, 2.27it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.26it/s] 39%|███▉ | 9/23 [00:04<00:05, 2.35it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.44it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.47it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.33it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.37it/s] 61%|██████ | 14/23 [00:06<00:03, 2.27it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.35it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.36it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.28it/s] 78%|███████▊ | 18/23 [00:07<00:02, 2.33it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.40it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.50it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.48it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.78it/s] 100%|██████████| 23/23 [00:09<00:00, 3.19it/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 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:11, 1.88it/s] 9%|▊ | 2/23 [00:01<00:10, 1.97it/s] 13%|█▎ | 3/23 [00:01<00:10, 1.91it/s] 17%|█▋ | 4/23 [00:01<00:09, 2.07it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.14it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.13it/s] 30%|███ | 7/23 [00:03<00:07, 2.16it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.18it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.30it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.35it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.40it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.29it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.33it/s] 61%|██████ | 14/23 [00:06<00:04, 2.24it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.30it/s] 70%|██████▉ | 16/23 [00:07<00:02, 2.34it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.24it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.30it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.37it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.47it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.47it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.80it/s] 100%|██████████| 23/23 [00:09<00:00, 3.21it/s] 100%|██████████| 23/23 [00:09<00:00, 2.37it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 2.7ms preprocess, 7.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.03it/s] 9%|▊ | 2/23 [00:00<00:09, 2.11it/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, 2.23it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.18it/s] 30%|███ | 7/23 [00:03<00:07, 2.23it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.19it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.32it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.42it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.45it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.36it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.37it/s] 61%|██████ | 14/23 [00:06<00:03, 2.29it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.35it/s] 70%|██████▉ | 16/23 [00:07<00:02, 2.36it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.30it/s] 78%|███████▊ | 18/23 [00:07<00:02, 2.32it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.40it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.49it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.50it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.86it/s] 100%|██████████| 23/23 [00:09<00:00, 3.28it/s] 100%|██████████| 23/23 [00:09<00:00, 2.43it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.3ms Speed: 2.6ms preprocess, 7.3ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.05it/s] 9%|▊ | 2/23 [00:00<00:09, 2.14it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.05it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.15it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.25it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.23it/s] 30%|███ | 7/23 [00:03<00:07, 2.26it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.25it/s] 39%|███▉ | 9/23 [00:04<00:05, 2.36it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.43it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.48it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.37it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.37it/s] 61%|██████ | 14/23 [00:06<00:03, 2.25it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.30it/s] 70%|██████▉ | 16/23 [00:06<00:03, 2.33it/s] 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Finished.
prompt
Specify things to see in the output
low angle shot, (1 cute_girl:1.2), white bodysuit, (big smile:1.2), (pink hair:1.4), (long legs), red blush, (cute girl is driving a motorcycle on reflective floor:1.4), side view, headphones, glass:1.4_mask_helmet, (cat_ear_helmet), (cybernetic), (mecha suit), (futuristic), (combat attire), (mix of organic and inorganic), (exposed circuitry), (massive scale), (mono-eyed), (weaponized), (polished metal), (futuristic background), (mechanical beauty), (technology wonder), full body, <lora:softmecha-V5:0.6>, <lora:akirabikev0.2:0.7>, <lora:EggmanTech-20:0.3>, (natural skin texture, hyperrealism, soft light, sharp, perfect face),
negative_prompt
Specify things to not see in the output
((portrait)), ((focus on face)), ((more than 2 arms:2)), ((more than 2 legs:2)), ((nsfw:2)), ((nipples:2)), easynegative, ng_deepnegative_v1_75t, (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)), ((watermark))
num_outputs
Number of output images
4
width
Output image width
768
height
Output image height
768
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
0.3
contrast
Adjust contrast
-0.6
saturation
Adjust saturation
0.6
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
779632157
input_image
Base image that the output should be generated from. This is useful when you want to add some detail to input_image. For example, if prompt is "sunglasses" and input_image has a man, there is the man wearing sunglasses in the output.
input_image_redrawing_strength
How differ the output is from input_image. Used only when input_image is given.
0.55
reference_image
Image with which the output should share identity (e.g. face of a person or type of a dog)
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.pt
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
EggmanTech-20.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
akirabikev0.2.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
softmecha-V5.safetensors
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
easynegative.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.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/227d6f8e892349e0bb34c2ca4b584d9e/00000-779632157.webp
https://files.tungsten.run/uploads/f5f803fa79ce4874a556b40d41c1d82d/00001-779632158.webp
https://files.tungsten.run/uploads/2db0c4a2d7344b63b1d5643cb9a4e566/00002-779632159.webp
https://files.tungsten.run/uploads/e863066c9abb474db1c7716de6654198/00003-779632160.webp
Finished in 183.8 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/ClearVAE_V2.3_fp16.pt Full prompt: low angle shot, (1 cute_girl:1.2), white bodysuit, (big smile:1.2), (pink hair:1.4), (long legs), red blush, (cute girl is driving a motorcycle on reflective floor:1.4), side view, headphones, glass:1.4_mask_helmet, (cat_ear_helmet), (cybernetic), (mecha suit), (futuristic), (combat attire), (mix of organic and inorganic), (exposed circuitry), (massive scale), (mono-eyed), (weaponized), (polished metal), (futuristic background), (mechanical beauty), (technology wonder), full body, <lora:softmecha-V5:0.6>, <lora:akirabikev0.2:0.7>, <lora:EggmanTech-20:0.3>, (natural skin texture, hyperrealism, soft light, sharp, perfect face),, <lora:add_brightness:0.3>, <lora:contrast_slider_v10:-0.6>, <lora:add_saturation:0.6> Full negative prompt: ((portrait)), ((focus on face)), ((more than 2 arms:2)), ((more than 2 legs:2)), ((nsfw:2)), ((nipples:2)), easynegative, ng_deepnegative_v1_75t, (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)), ((watermark)) 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:02<01:46, 2.17s/it] 4%|▍ | 2/50 [00:03<01:33, 1.94s/it] 6%|▌ | 3/50 [00:05<01:23, 1.77s/it] 8%|▊ | 4/50 [00:07<01:20, 1.75s/it] 10%|█ | 5/50 [00:08<01:18, 1.74s/it] 12%|█▏ | 6/50 [00:10<01:16, 1.73s/it] 14%|█▍ | 7/50 [00:12<01:14, 1.72s/it] 16%|█▌ | 8/50 [00:14<01:14, 1.77s/it] 18%|█▊ | 9/50 [00:16<01:13, 1.80s/it] 20%|██ | 10/50 [00:17<01:11, 1.79s/it] 22%|██▏ | 11/50 [00:19<01:12, 1.85s/it] 24%|██▍ | 12/50 [00:21<01:09, 1.84s/it] 26%|██▌ | 13/50 [00:23<01:08, 1.86s/it] 28%|██▊ | 14/50 [00:25<01:05, 1.82s/it] 30%|███ | 15/50 [00:27<01:03, 1.82s/it] 32%|███▏ | 16/50 [00:28<01:00, 1.79s/it] 34%|███▍ | 17/50 [00:30<00:58, 1.77s/it] 36%|███▌ | 18/50 [00:32<00:58, 1.83s/it] 38%|███▊ | 19/50 [00:34<00:54, 1.76s/it] 40%|████ | 20/50 [00:36<00:53, 1.79s/it] 42%|████▏ | 21/50 [00:37<00:51, 1.79s/it] 44%|████▍ | 22/50 [00:39<00:49, 1.78s/it] 46%|████▌ | 23/50 [00:41<00:46, 1.72s/it] 48%|████▊ | 24/50 [00:42<00:45, 1.75s/it] 50%|█████ | 25/50 [00:44<00:41, 1.66s/it] 52%|█████▏ | 26/50 [00:46<00:39, 1.65s/it] 54%|█████▍ | 27/50 [00:47<00:37, 1.63s/it] 56%|█████▌ | 28/50 [00:49<00:36, 1.68s/it] 58%|█████▊ | 29/50 [00:51<00:35, 1.68s/it] 60%|██████ | 30/50 [00:52<00:34, 1.75s/it] 62%|██████▏ | 31/50 [00:54<00:31, 1.67s/it] 64%|██████▍ | 32/50 [00:55<00:29, 1.62s/it] 66%|██████▌ | 33/50 [00:57<00:27, 1.64s/it] 68%|██████▊ | 34/50 [00:59<00:25, 1.59s/it] 70%|███████ | 35/50 [01:00<00:23, 1.59s/it] 72%|███████▏ | 36/50 [01:02<00:21, 1.51s/it] 74%|███████▍ | 37/50 [01:03<00:18, 1.45s/it] 76%|███████▌ | 38/50 [01:04<00:17, 1.44s/it] 78%|███████▊ | 39/50 [01:06<00:16, 1.50s/it] 80%|████████ | 40/50 [01:07<00:14, 1.49s/it] 82%|████████▏ | 41/50 [01:09<00:14, 1.56s/it] 84%|████████▍ | 42/50 [01:11<00:12, 1.52s/it] 86%|████████▌ | 43/50 [01:12<00:10, 1.50s/it] 88%|████████▊ | 44/50 [01:14<00:09, 1.56s/it] 90%|█████████ | 45/50 [01:15<00:07, 1.53s/it] 92%|█████████▏| 46/50 [01:17<00:05, 1.47s/it] 94%|█████████▍| 47/50 [01:18<00:04, 1.41s/it] 96%|█████████▌| 48/50 [01:19<00:02, 1.42s/it] 98%|█████████▊| 49/50 [01:20<00:01, 1.22s/it] 100%|██████████| 50/50 [01:21<00:00, 1.04s/it] 100%|██████████| 50/50 [01:21<00:00, 1.62s/it] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.7ms Speed: 3.2ms preprocess, 7.7ms inference, 23.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:18, 1.18it/s] 9%|▊ | 2/23 [00:01<00:13, 1.58it/s] 13%|█▎ | 3/23 [00:01<00:11, 1.76it/s] 17%|█▋ | 4/23 [00:02<00:09, 1.97it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.13it/s] 26%|██▌ | 6/23 [00:03<00:07, 2.13it/s] 30%|███ | 7/23 [00:03<00:07, 2.22it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.22it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.32it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.44it/s] 48%|████▊ | 11/23 [00:05<00:04, 2.51it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.40it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.43it/s] 61%|██████ | 14/23 [00:06<00:03, 2.31it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.37it/s] 70%|██████▉ | 16/23 [00:07<00:02, 2.41it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.34it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.35it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.44it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.53it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.55it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.88it/s] 100%|██████████| 23/23 [00:09<00:00, 3.30it/s] 100%|██████████| 23/23 [00:09<00:00, 2.38it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.1ms Speed: 3.1ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.08it/s] 9%|▊ | 2/23 [00:00<00:09, 2.14it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.05it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.19it/s] 22%|██▏ | 5/23 [00:02<00:07, 2.27it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.21it/s] 30%|███ | 7/23 [00:03<00:07, 2.27it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.27it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.38it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.46it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.49it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.40it/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, 2.37it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.37it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.31it/s] 78%|███████▊ | 18/23 [00:07<00:02, 2.33it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.41it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.50it/s] 91%|█████████▏| 21/23 [00:08<00:00, 2.49it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.85it/s] 100%|██████████| 23/23 [00:09<00:00, 3.27it/s] 100%|██████████| 23/23 [00:09<00:00, 2.46it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.7ms Speed: 3.3ms preprocess, 7.7ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:11, 1.94it/s] 9%|▊ | 2/23 [00:00<00:10, 2.02it/s] 13%|█▎ | 3/23 [00:01<00:10, 1.93it/s] 17%|█▋ | 4/23 [00:01<00:09, 2.03it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.12it/s] 26%|██▌ | 6/23 [00:02<00:08, 2.10it/s] 30%|███ | 7/23 [00:03<00:07, 2.17it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.15it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.28it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.38it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.41it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.33it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.36it/s] 61%|██████ | 14/23 [00:06<00:03, 2.29it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.35it/s] 70%|██████▉ | 16/23 [00:07<00:02, 2.39it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.32it/s] 78%|███████▊ | 18/23 [00:07<00:02, 2.35it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.42it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.50it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.50it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.85it/s] 100%|██████████| 23/23 [00:09<00:00, 3.27it/s] 100%|██████████| 23/23 [00:09<00:00, 2.40it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.0ms Speed: 2.7ms preprocess, 7.0ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 1 face, 7.6ms Speed: 2.9ms preprocess, 7.6ms 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, 2.04it/s] 9%|▊ | 2/23 [00:00<00:10, 2.10it/s] 13%|█▎ | 3/23 [00:01<00:10, 2.00it/s] 17%|█▋ | 4/23 [00:01<00:09, 2.10it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.21it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.16it/s] 30%|███ | 7/23 [00:03<00:07, 2.23it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.22it/s] 39%|███▉ | 9/23 [00:04<00:05, 2.34it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.43it/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, 2.37it/s] 61%|██████ | 14/23 [00:06<00:03, 2.30it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.35it/s] 70%|██████▉ | 16/23 [00:07<00:02, 2.35it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.29it/s] 78%|███████▊ | 18/23 [00:07<00:02, 2.30it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.38it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.46it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.44it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.80it/s] 100%|██████████| 23/23 [00:09<00:00, 3.17it/s] 100%|██████████| 23/23 [00:09<00:00, 2.41it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.3ms Speed: 2.9ms preprocess, 7.3ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.01it/s] 9%|▊ | 2/23 [00:00<00:10, 2.07it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.04it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.19it/s] 22%|██▏ | 5/23 [00:02<00:07, 2.25it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.23it/s] 30%|███ | 7/23 [00:03<00:07, 2.27it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.26it/s] 39%|███▉ | 9/23 [00:04<00:05, 2.35it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.44it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.47it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.33it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.37it/s] 61%|██████ | 14/23 [00:06<00:03, 2.27it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.35it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.36it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.28it/s] 78%|███████▊ | 18/23 [00:07<00:02, 2.33it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.40it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.50it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.48it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.78it/s] 100%|██████████| 23/23 [00:09<00:00, 3.19it/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 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:11, 1.88it/s] 9%|▊ | 2/23 [00:01<00:10, 1.97it/s] 13%|█▎ | 3/23 [00:01<00:10, 1.91it/s] 17%|█▋ | 4/23 [00:01<00:09, 2.07it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.14it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.13it/s] 30%|███ | 7/23 [00:03<00:07, 2.16it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.18it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.30it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.35it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.40it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.29it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.33it/s] 61%|██████ | 14/23 [00:06<00:04, 2.24it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.30it/s] 70%|██████▉ | 16/23 [00:07<00:02, 2.34it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.24it/s] 78%|███████▊ | 18/23 [00:08<00:02, 2.30it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.37it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.47it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.47it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.80it/s] 100%|██████████| 23/23 [00:09<00:00, 3.21it/s] 100%|██████████| 23/23 [00:09<00:00, 2.37it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 2.7ms preprocess, 7.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.03it/s] 9%|▊ | 2/23 [00:00<00:09, 2.11it/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, 2.23it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.18it/s] 30%|███ | 7/23 [00:03<00:07, 2.23it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.19it/s] 39%|███▉ | 9/23 [00:04<00:06, 2.32it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.42it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.45it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.36it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.37it/s] 61%|██████ | 14/23 [00:06<00:03, 2.29it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.35it/s] 70%|██████▉ | 16/23 [00:07<00:02, 2.36it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.30it/s] 78%|███████▊ | 18/23 [00:07<00:02, 2.32it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.40it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.49it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.50it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.86it/s] 100%|██████████| 23/23 [00:09<00:00, 3.28it/s] 100%|██████████| 23/23 [00:09<00:00, 2.43it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.3ms Speed: 2.6ms preprocess, 7.3ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.05it/s] 9%|▊ | 2/23 [00:00<00:09, 2.14it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.05it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.15it/s] 22%|██▏ | 5/23 [00:02<00:08, 2.25it/s] 26%|██▌ | 6/23 [00:02<00:07, 2.23it/s] 30%|███ | 7/23 [00:03<00:07, 2.26it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.25it/s] 39%|███▉ | 9/23 [00:04<00:05, 2.36it/s] 43%|████▎ | 10/23 [00:04<00:05, 2.43it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.48it/s] 52%|█████▏ | 12/23 [00:05<00:04, 2.37it/s] 57%|█████▋ | 13/23 [00:05<00:04, 2.37it/s] 61%|██████ | 14/23 [00:06<00:03, 2.25it/s] 65%|██████▌ | 15/23 [00:06<00:03, 2.30it/s] 70%|██████▉ | 16/23 [00:06<00:03, 2.33it/s] 74%|███████▍ | 17/23 [00:07<00:02, 2.28it/s] 78%|███████▊ | 18/23 [00:07<00:02, 2.33it/s] 83%|████████▎ | 19/23 [00:08<00:01, 2.39it/s] 87%|████████▋ | 20/23 [00:08<00:01, 2.50it/s] 91%|█████████▏| 21/23 [00:09<00:00, 2.49it/s] 96%|█████████▌| 22/23 [00:09<00:00, 2.85it/s] 100%|██████████| 23/23 [00:09<00:00, 3.26it/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 Uploading outputs... Finished.