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aurora-sdxl
aurora-sdxl

aurora-sdxl

4 stars
Version: v1.0
Input
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
width
Output image width
height
Output image height
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
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
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.
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.
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/ea483bf89ac648c1bf139bf6abcbf64f/00000-1714589370.webp
https://files.tungsten.run/uploads/7ce4d804d5cc40f1b4065e226dfc1958/00001-1714589371.webp
https://files.tungsten.run/uploads/4354156017fc4d94a7843a0fd99e4fa0/00002-1714589372.webp
This example was created by evevalentine2017
Finished in 544.5 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: lynx female furry, anthropomorphic, fursona, (((furry))), (setting is baseball field), (background is the stands and crowd), all white uniform, blue eyes, (batting), (holding baseball bat) Full negative prompt: text, watermark, low-quality, signature, moir pattern, downsampling, aliasing, distorted, blurry, glossy, blur, jpeg artifacts, compression artifacts, poorly drawn, low-resolution, bad, distortion, twisted, excessive, exaggerated pose, exaggerated limbs, grainy, symmetrical, duplicate, error, pattern, beginner, pixelated, fake, hyper, glitch, overexposed, high-contrast, bad-contrast, Unrealistic, fake, ugly, bad art, imperfections, malformed, noisy, (oval eyes, odd eyes, weird eyes, bad eyes), (blur), (guassian blur), paintings, watermark, low-quality, signature, moir pattern, downsampling, aliasing, distorted, blurry, glossy, blur, jpeg artifacts, compression artifacts, poorly drawn, low-resolution, bad, distortion, twisted, excessive, exaggerated pose, exaggerated limbs, grainy, symmetrical, duplicate, error, pattern, beginner, pixelated, fake, hyper, glitch, overexposed, high-contrast, bad-contrast 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:02<02:24, 2.94s/it] 4%|▍ | 2/50 [00:06<02:40, 3.35s/it] 6%|▌ | 3/50 [00:10<02:56, 3.76s/it] 8%|▊ | 4/50 [00:14<02:53, 3.78s/it] 10%|█ | 5/50 [00:18<02:51, 3.80s/it] 12%|█▏ | 6/50 [00:22<02:51, 3.89s/it] 14%|█▍ | 7/50 [00:26<02:50, 3.98s/it] 16%|█▌ | 8/50 [00:30<02:45, 3.95s/it] 18%|█▊ | 9/50 [00:34<02:40, 3.92s/it] 20%|██ | 10/50 [00:38<02:34, 3.87s/it] 22%|██▏ | 11/50 [00:42<02:33, 3.93s/it] 24%|██▍ | 12/50 [00:46<02:32, 4.00s/it] 26%|██▌ | 13/50 [00:50<02:24, 3.90s/it] 28%|██▊ | 14/50 [00:54<02:22, 3.96s/it] 30%|███ | 15/50 [00:58<02:18, 3.94s/it] 32%|███▏ | 16/50 [01:01<02:12, 3.90s/it] 34%|███▍ | 17/50 [01:05<02:00, 3.66s/it] 36%|███▌ | 18/50 [01:08<01:57, 3.68s/it] 38%|███▊ | 19/50 [01:12<01:54, 3.69s/it] 40%|████ | 20/50 [01:16<01:50, 3.68s/it] 42%|████▏ | 21/50 [01:19<01:43, 3.56s/it] 44%|████▍ | 22/50 [01:23<01:40, 3.58s/it] 46%|████▌ | 23/50 [01:26<01:36, 3.59s/it] 48%|████▊ | 24/50 [01:30<01:33, 3.61s/it] 50%|█████ | 25/50 [01:33<01:27, 3.49s/it] 52%|█████▏ | 26/50 [01:36<01:23, 3.49s/it] 54%|█████▍ | 27/50 [01:40<01:21, 3.54s/it] 56%|█████▌ | 28/50 [01:44<01:18, 3.56s/it] 58%|█████▊ | 29/50 [01:47<01:10, 3.35s/it] 60%|██████ | 30/50 [01:50<01:04, 3.22s/it] 62%|██████▏ | 31/50 [01:52<00:59, 3.11s/it] 64%|██████▍ | 32/50 [01:56<00:57, 3.21s/it] 66%|██████▌ | 33/50 [01:59<00:52, 3.08s/it] 68%|██████▊ | 34/50 [02:02<00:51, 3.24s/it] 70%|███████ | 35/50 [02:06<00:51, 3.45s/it] 72%|███████▏ | 36/50 [02:09<00:46, 3.31s/it] 74%|███████▍ | 37/50 [02:12<00:41, 3.23s/it] 76%|███████▌ | 38/50 [02:15<00:38, 3.17s/it] 78%|███████▊ | 39/50 [02:18<00:33, 3.09s/it] 80%|████████ | 40/50 [02:22<00:32, 3.28s/it] 82%|████████▏ | 41/50 [02:25<00:28, 3.16s/it] 84%|████████▍ | 42/50 [02:28<00:24, 3.12s/it] 86%|████████▌ | 43/50 [02:31<00:21, 3.08s/it] 88%|████████▊ | 44/50 [02:34<00:18, 3.06s/it] 90%|█████████ | 45/50 [02:37<00:15, 3.18s/it] 92%|█████████▏| 46/50 [02:41<00:13, 3.25s/it] 94%|█████████▍| 47/50 [02:44<00:09, 3.16s/it] 96%|█████████▌| 48/50 [02:47<00:06, 3.16s/it] 98%|█████████▊| 49/50 [02:49<00:03, 3.01s/it] 100%|██████████| 50/50 [02:50<00:00, 2.36s/it] 100%|██████████| 50/50 [02:50<00:00, 3.41s/it] Decoding latents in cuda:0... done in 1.68s Move latents to cpu... done in 0.02s 0: 640x480 5 faces, 162.6ms Speed: 3.2ms preprocess, 162.6ms inference, 23.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:02<00:46, 2.12s/it] 9%|▊ | 2/23 [00:03<00:38, 1.82s/it] 13%|█▎ | 3/23 [00:05<00:34, 1.72s/it] 17%|█▋ | 4/23 [00:06<00:31, 1.68s/it] 22%|██▏ | 5/23 [00:08<00:31, 1.75s/it] 26%|██▌ | 6/23 [00:10<00:28, 1.70s/it] 30%|███ | 7/23 [00:12<00:28, 1.77s/it] 35%|███▍ | 8/23 [00:14<00:27, 1.84s/it] 39%|███▉ | 9/23 [00:15<00:24, 1.78s/it] 43%|████▎ | 10/23 [00:17<00:22, 1.74s/it] 48%|████▊ | 11/23 [00:19<00:20, 1.73s/it] 52%|█████▏ | 12/23 [00:20<00:18, 1.69s/it] 57%|█████▋ | 13/23 [00:22<00:17, 1.75s/it] 61%|██████ | 14/23 [00:24<00:15, 1.71s/it] 65%|██████▌ | 15/23 [00:26<00:13, 1.73s/it] 70%|██████▉ | 16/23 [00:27<00:11, 1.70s/it] 74%|███████▍ | 17/23 [00:29<00:10, 1.70s/it] 78%|███████▊ | 18/23 [00:31<00:08, 1.73s/it] 83%|████████▎ | 19/23 [00:33<00:07, 1.75s/it] 87%|████████▋ | 20/23 [00:34<00:05, 1.72s/it] 91%|█████████▏| 21/23 [00:36<00:03, 1.75s/it] 96%|█████████▌| 22/23 [00:38<00:01, 1.69s/it] 100%|██████████| 23/23 [00:38<00:00, 1.36s/it] 100%|██████████| 23/23 [00:38<00:00, 1.69s/it] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:01<00:42, 1.92s/it] 9%|▊ | 2/23 [00:03<00:37, 1.76s/it] 13%|█▎ | 3/23 [00:05<00:33, 1.70s/it] 17%|█▋ | 4/23 [00:06<00:31, 1.65s/it] 22%|██▏ | 5/23 [00:08<00:30, 1.70s/it] 26%|██▌ | 6/23 [00:10<00:28, 1.68s/it] 30%|███ | 7/23 [00:11<00:27, 1.72s/it] 35%|███▍ | 8/23 [00:13<00:26, 1.79s/it] 39%|███▉ | 9/23 [00:15<00:24, 1.77s/it] 43%|████▎ | 10/23 [00:17<00:22, 1.73s/it] 48%|████▊ | 11/23 [00:19<00:20, 1.73s/it] 52%|█████▏ | 12/23 [00:20<00:19, 1.73s/it] 57%|█████▋ | 13/23 [00:22<00:17, 1.76s/it] 61%|██████ | 14/23 [00:24<00:15, 1.72s/it] 65%|██████▌ | 15/23 [00:25<00:13, 1.70s/it] 70%|██████▉ | 16/23 [00:27<00:11, 1.70s/it] 74%|███████▍ | 17/23 [00:29<00:10, 1.71s/it] 78%|███████▊ | 18/23 [00:31<00:08, 1.74s/it] 83%|████████▎ | 19/23 [00:32<00:07, 1.76s/it] 87%|████████▋ | 20/23 [00:34<00:05, 1.75s/it] 91%|█████████▏| 21/23 [00:36<00:03, 1.74s/it] 96%|█████████▌| 22/23 [00:37<00:01, 1.67s/it] 100%|██████████| 23/23 [00:38<00:00, 1.36s/it] 100%|██████████| 23/23 [00:38<00:00, 1.67s/it] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:01<00:42, 1.92s/it] 9%|▊ | 2/23 [00:03<00:37, 1.77s/it] 13%|█▎ | 3/23 [00:05<00:35, 1.79s/it] 17%|█▋ | 4/23 [00:07<00:34, 1.81s/it] 22%|██▏ | 5/23 [00:09<00:33, 1.84s/it] 26%|██▌ | 6/23 [00:10<00:29, 1.74s/it] 30%|███ | 7/23 [00:12<00:28, 1.79s/it] 35%|███▍ | 8/23 [00:14<00:27, 1.85s/it] 39%|███▉ | 9/23 [00:16<00:25, 1.83s/it] 43%|████▎ | 10/23 [00:17<00:23, 1.78s/it] 48%|████▊ | 11/23 [00:19<00:21, 1.78s/it] 52%|█████▏ | 12/23 [00:21<00:19, 1.74s/it] 57%|█████▋ | 13/23 [00:23<00:17, 1.80s/it] 61%|██████ | 14/23 [00:24<00:15, 1.75s/it] 65%|██████▌ | 15/23 [00:26<00:13, 1.72s/it] 70%|██████▉ | 16/23 [00:28<00:11, 1.70s/it] 74%|███████▍ | 17/23 [00:30<00:10, 1.71s/it] 78%|███████▊ | 18/23 [00:31<00:08, 1.75s/it] 83%|████████▎ | 19/23 [00:33<00:07, 1.77s/it] 87%|████████▋ | 20/23 [00:35<00:05, 1.73s/it] 91%|█████████▏| 21/23 [00:37<00:03, 1.73s/it] 96%|█████████▌| 22/23 [00:38<00:01, 1.68s/it] 100%|██████████| 23/23 [00:39<00:00, 1.35s/it] 100%|██████████| 23/23 [00:39<00:00, 1.70s/it] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:02<00:44, 2.01s/it] 9%|▊ | 2/23 [00:03<00:37, 1.77s/it] 13%|█▎ | 3/23 [00:05<00:34, 1.73s/it] 17%|█▋ | 4/23 [00:06<00:32, 1.69s/it] 22%|██▏ | 5/23 [00:08<00:31, 1.74s/it] 26%|██▌ | 6/23 [00:10<00:28, 1.68s/it] 30%|███ | 7/23 [00:12<00:28, 1.76s/it] 35%|███▍ | 8/23 [00:14<00:27, 1.81s/it] 39%|███▉ | 9/23 [00:15<00:24, 1.77s/it] 43%|████▎ | 10/23 [00:17<00:22, 1.73s/it] 48%|████▊ | 11/23 [00:19<00:20, 1.72s/it] 52%|█████▏ | 12/23 [00:20<00:18, 1.69s/it] 57%|█████▋ | 13/23 [00:22<00:17, 1.75s/it] 61%|██████ | 14/23 [00:24<00:15, 1.74s/it] 65%|██████▌ | 15/23 [00:26<00:13, 1.72s/it] 70%|██████▉ | 16/23 [00:27<00:11, 1.71s/it] 74%|███████▍ | 17/23 [00:29<00:10, 1.70s/it] 78%|███████▊ | 18/23 [00:31<00:08, 1.74s/it] 83%|████████▎ | 19/23 [00:33<00:06, 1.74s/it] 87%|████████▋ | 20/23 [00:34<00:05, 1.71s/it] 91%|█████████▏| 21/23 [00:36<00:03, 1.73s/it] 96%|█████████▌| 22/23 [00:37<00:01, 1.67s/it] 100%|██████████| 23/23 [00:38<00:00, 1.36s/it] 100%|██████████| 23/23 [00:38<00:00, 1.68s/it] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:02<00:47, 2.15s/it] 9%|▊ | 2/23 [00:03<00:38, 1.84s/it] 13%|█▎ | 3/23 [00:05<00:35, 1.77s/it] 17%|█▋ | 4/23 [00:07<00:32, 1.69s/it] 22%|██▏ | 5/23 [00:08<00:30, 1.72s/it] 26%|██▌ | 6/23 [00:10<00:28, 1.66s/it] 30%|███ | 7/23 [00:12<00:27, 1.72s/it] 35%|███▍ | 8/23 [00:14<00:26, 1.78s/it] 39%|███▉ | 9/23 [00:15<00:24, 1.72s/it] 43%|████▎ | 10/23 [00:17<00:22, 1.71s/it] 48%|████▊ | 11/23 [00:19<00:20, 1.70s/it] 52%|█████▏ | 12/23 [00:20<00:18, 1.70s/it] 57%|█████▋ | 13/23 [00:22<00:17, 1.74s/it] 61%|██████ | 14/23 [00:24<00:15, 1.70s/it] 65%|██████▌ | 15/23 [00:25<00:13, 1.69s/it] 70%|██████▉ | 16/23 [00:27<00:11, 1.70s/it] 74%|███████▍ | 17/23 [00:29<00:10, 1.70s/it] 78%|███████▊ | 18/23 [00:31<00:08, 1.77s/it] 83%|████████▎ | 19/23 [00:33<00:07, 1.80s/it] 87%|████████▋ | 20/23 [00:34<00:05, 1.75s/it] 91%|█████████▏| 21/23 [00:36<00:03, 1.73s/it] 96%|█████████▌| 22/23 [00:37<00:01, 1.67s/it] 100%|██████████| 23/23 [00:38<00:00, 1.36s/it] 100%|██████████| 23/23 [00:38<00:00, 1.68s/it] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0: 640x480 (no detections), 8.3ms Speed: 2.5ms preprocess, 8.3ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x480 4 faces, 8.1ms Speed: 2.3ms preprocess, 8.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:01<00:41, 1.88s/it] 9%|▊ | 2/23 [00:03<00:36, 1.73s/it] 13%|█▎ | 3/23 [00:05<00:34, 1.75s/it] 17%|█▋ | 4/23 [00:06<00:32, 1.71s/it] 22%|██▏ | 5/23 [00:08<00:31, 1.76s/it] 26%|██▌ | 6/23 [00:10<00:28, 1.70s/it] 30%|███ | 7/23 [00:12<00:28, 1.78s/it] 35%|███▍ | 8/23 [00:14<00:27, 1.83s/it] 39%|███▉ | 9/23 [00:15<00:24, 1.77s/it] 43%|████▎ | 10/23 [00:17<00:23, 1.77s/it] 48%|████▊ | 11/23 [00:19<00:21, 1.78s/it] 52%|█████▏ | 12/23 [00:21<00:19, 1.75s/it] 57%|█████▋ | 13/23 [00:23<00:18, 1.82s/it] 61%|██████ | 14/23 [00:24<00:16, 1.81s/it] 65%|██████▌ | 15/23 [00:26<00:14, 1.76s/it] 70%|██████▉ | 16/23 [00:28<00:12, 1.74s/it] 74%|███████▍ | 17/23 [00:29<00:10, 1.73s/it] 78%|███████▊ | 18/23 [00:31<00:08, 1.77s/it] 83%|████████▎ | 19/23 [00:33<00:07, 1.79s/it] 87%|████████▋ | 20/23 [00:35<00:05, 1.75s/it] 91%|█████████▏| 21/23 [00:36<00:03, 1.73s/it] 96%|█████████▌| 22/23 [00:38<00:01, 1.69s/it] 100%|██████████| 23/23 [00:39<00:00, 1.37s/it] 100%|██████████| 23/23 [00:39<00:00, 1.71s/it] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:01<00:43, 1.99s/it] 9%|▊ | 2/23 [00:03<00:37, 1.77s/it] 13%|█▎ | 3/23 [00:05<00:34, 1.74s/it] 17%|█▋ | 4/23 [00:06<00:32, 1.69s/it] 22%|██▏ | 5/23 [00:08<00:31, 1.73s/it] 26%|██▌ | 6/23 [00:10<00:28, 1.69s/it] 30%|███ | 7/23 [00:12<00:27, 1.74s/it] 35%|███▍ | 8/23 [00:14<00:27, 1.80s/it] 39%|███▉ | 9/23 [00:15<00:24, 1.76s/it] 43%|████▎ | 10/23 [00:17<00:22, 1.75s/it] 48%|████▊ | 11/23 [00:19<00:21, 1.75s/it] 52%|█████▏ | 12/23 [00:20<00:19, 1.73s/it] 57%|█████▋ | 13/23 [00:22<00:18, 1.81s/it] 61%|██████ | 14/23 [00:24<00:15, 1.77s/it] 65%|██████▌ | 15/23 [00:26<00:13, 1.74s/it] 70%|██████▉ | 16/23 [00:28<00:12, 1.75s/it] 74%|███████▍ | 17/23 [00:29<00:10, 1.74s/it] 78%|███████▊ | 18/23 [00:31<00:09, 1.81s/it] 83%|████████▎ | 19/23 [00:33<00:07, 1.92s/it] 87%|████████▋ | 20/23 [00:35<00:05, 1.90s/it] 91%|█████████▏| 21/23 [00:37<00:03, 1.85s/it] 96%|█████████▌| 22/23 [00:39<00:01, 1.77s/it] 100%|██████████| 23/23 [00:39<00:00, 1.44s/it] 100%|██████████| 23/23 [00:39<00:00, 1.73s/it] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:01<00:43, 2.00s/it] 9%|▊ | 2/23 [00:03<00:38, 1.82s/it] 13%|█▎ | 3/23 [00:05<00:36, 1.81s/it] 17%|█▋ | 4/23 [00:07<00:33, 1.76s/it] 22%|██▏ | 5/23 [00:09<00:32, 1.83s/it] 26%|██▌ | 6/23 [00:10<00:30, 1.80s/it] 30%|███ | 7/23 [00:12<00:29, 1.86s/it] 35%|███▍ | 8/23 [00:14<00:28, 1.93s/it] 39%|███▉ | 9/23 [00:16<00:26, 1.87s/it] 43%|████▎ | 10/23 [00:18<00:23, 1.83s/it] 48%|████▊ | 11/23 [00:20<00:21, 1.79s/it] 52%|█████▏ | 12/23 [00:21<00:19, 1.77s/it] 57%|█████▋ | 13/23 [00:23<00:18, 1.86s/it] 61%|██████ | 14/23 [00:25<00:16, 1.83s/it] 65%|██████▌ | 15/23 [00:27<00:14, 1.80s/it] 70%|██████▉ | 16/23 [00:29<00:12, 1.80s/it] 74%|███████▍ | 17/23 [00:30<00:10, 1.78s/it] 78%|███████▊ | 18/23 [00:32<00:09, 1.81s/it] 83%|████████▎ | 19/23 [00:34<00:07, 1.80s/it] 87%|████████▋ | 20/23 [00:36<00:05, 1.75s/it] 91%|█████████▏| 21/23 [00:37<00:03, 1.73s/it] 96%|█████████▌| 22/23 [00:39<00:01, 1.67s/it] 100%|██████████| 23/23 [00:40<00:00, 1.36s/it] 100%|██████████| 23/23 [00:40<00:00, 1.74s/it] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:02<00:46, 2.11s/it] 9%|▊ | 2/23 [00:04<00:41, 1.99s/it] 13%|█▎ | 3/23 [00:05<00:37, 1.88s/it] 17%|█▋ | 4/23 [00:07<00:33, 1.78s/it] 22%|██▏ | 5/23 [00:09<00:32, 1.81s/it] 26%|██▌ | 6/23 [00:10<00:29, 1.74s/it] 30%|███ | 7/23 [00:12<00:28, 1.79s/it] 35%|███▍ | 8/23 [00:14<00:27, 1.85s/it] 39%|███▉ | 9/23 [00:16<00:25, 1.83s/it] 43%|████▎ | 10/23 [00:18<00:23, 1.80s/it] 48%|████▊ | 11/23 [00:20<00:21, 1.79s/it] 52%|█████▏ | 12/23 [00:21<00:19, 1.77s/it] 57%|█████▋ | 13/23 [00:23<00:18, 1.81s/it] 61%|██████ | 14/23 [00:25<00:16, 1.79s/it] 65%|██████▌ | 15/23 [00:27<00:14, 1.75s/it] 70%|██████▉ | 16/23 [00:28<00:12, 1.73s/it] 74%|███████▍ | 17/23 [00:30<00:10, 1.71s/it] 78%|███████▊ | 18/23 [00:32<00:08, 1.76s/it] 83%|████████▎ | 19/23 [00:34<00:07, 1.79s/it] 87%|████████▋ | 20/23 [00:35<00:05, 1.75s/it] 91%|█████████▏| 21/23 [00:37<00:03, 1.75s/it] 96%|█████████▌| 22/23 [00:39<00:01, 1.69s/it] 100%|██████████| 23/23 [00:39<00:00, 1.37s/it] 100%|██████████| 23/23 [00:39<00:00, 1.73s/it] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
width
Output image width
height
Output image height
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
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
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.
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.
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/ea483bf89ac648c1bf139bf6abcbf64f/00000-1714589370.webp
https://files.tungsten.run/uploads/7ce4d804d5cc40f1b4065e226dfc1958/00001-1714589371.webp
https://files.tungsten.run/uploads/4354156017fc4d94a7843a0fd99e4fa0/00002-1714589372.webp
This example was created by evevalentine2017
Finished in 544.5 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: lynx female furry, anthropomorphic, fursona, (((furry))), (setting is baseball field), (background is the stands and crowd), all white uniform, blue eyes, (batting), (holding baseball bat) Full negative prompt: text, watermark, low-quality, signature, moir pattern, downsampling, aliasing, distorted, blurry, glossy, blur, jpeg artifacts, compression artifacts, poorly drawn, low-resolution, bad, distortion, twisted, excessive, exaggerated pose, exaggerated limbs, grainy, symmetrical, duplicate, error, pattern, beginner, pixelated, fake, hyper, glitch, overexposed, high-contrast, bad-contrast, Unrealistic, fake, ugly, bad art, imperfections, malformed, noisy, (oval eyes, odd eyes, weird eyes, bad eyes), (blur), (guassian blur), paintings, watermark, low-quality, signature, moir pattern, downsampling, aliasing, distorted, blurry, glossy, blur, jpeg artifacts, compression artifacts, poorly drawn, low-resolution, bad, distortion, twisted, excessive, exaggerated pose, exaggerated limbs, grainy, symmetrical, duplicate, error, pattern, beginner, pixelated, fake, hyper, glitch, overexposed, high-contrast, bad-contrast 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:02<02:24, 2.94s/it] 4%|▍ | 2/50 [00:06<02:40, 3.35s/it] 6%|▌ | 3/50 [00:10<02:56, 3.76s/it] 8%|▊ | 4/50 [00:14<02:53, 3.78s/it] 10%|█ | 5/50 [00:18<02:51, 3.80s/it] 12%|█▏ | 6/50 [00:22<02:51, 3.89s/it] 14%|█▍ | 7/50 [00:26<02:50, 3.98s/it] 16%|█▌ | 8/50 [00:30<02:45, 3.95s/it] 18%|█▊ | 9/50 [00:34<02:40, 3.92s/it] 20%|██ | 10/50 [00:38<02:34, 3.87s/it] 22%|██▏ | 11/50 [00:42<02:33, 3.93s/it] 24%|██▍ | 12/50 [00:46<02:32, 4.00s/it] 26%|██▌ | 13/50 [00:50<02:24, 3.90s/it] 28%|██▊ | 14/50 [00:54<02:22, 3.96s/it] 30%|███ | 15/50 [00:58<02:18, 3.94s/it] 32%|███▏ | 16/50 [01:01<02:12, 3.90s/it] 34%|███▍ | 17/50 [01:05<02:00, 3.66s/it] 36%|███▌ | 18/50 [01:08<01:57, 3.68s/it] 38%|███▊ | 19/50 [01:12<01:54, 3.69s/it] 40%|████ | 20/50 [01:16<01:50, 3.68s/it] 42%|████▏ | 21/50 [01:19<01:43, 3.56s/it] 44%|████▍ | 22/50 [01:23<01:40, 3.58s/it] 46%|████▌ | 23/50 [01:26<01:36, 3.59s/it] 48%|████▊ | 24/50 [01:30<01:33, 3.61s/it] 50%|█████ | 25/50 [01:33<01:27, 3.49s/it] 52%|█████▏ | 26/50 [01:36<01:23, 3.49s/it] 54%|█████▍ | 27/50 [01:40<01:21, 3.54s/it] 56%|█████▌ | 28/50 [01:44<01:18, 3.56s/it] 58%|█████▊ | 29/50 [01:47<01:10, 3.35s/it] 60%|██████ | 30/50 [01:50<01:04, 3.22s/it] 62%|██████▏ | 31/50 [01:52<00:59, 3.11s/it] 64%|██████▍ | 32/50 [01:56<00:57, 3.21s/it] 66%|██████▌ | 33/50 [01:59<00:52, 3.08s/it] 68%|██████▊ | 34/50 [02:02<00:51, 3.24s/it] 70%|███████ | 35/50 [02:06<00:51, 3.45s/it] 72%|███████▏ | 36/50 [02:09<00:46, 3.31s/it] 74%|███████▍ | 37/50 [02:12<00:41, 3.23s/it] 76%|███████▌ | 38/50 [02:15<00:38, 3.17s/it] 78%|███████▊ | 39/50 [02:18<00:33, 3.09s/it] 80%|████████ | 40/50 [02:22<00:32, 3.28s/it] 82%|████████▏ | 41/50 [02:25<00:28, 3.16s/it] 84%|████████▍ | 42/50 [02:28<00:24, 3.12s/it] 86%|████████▌ | 43/50 [02:31<00:21, 3.08s/it] 88%|████████▊ | 44/50 [02:34<00:18, 3.06s/it] 90%|█████████ | 45/50 [02:37<00:15, 3.18s/it] 92%|█████████▏| 46/50 [02:41<00:13, 3.25s/it] 94%|█████████▍| 47/50 [02:44<00:09, 3.16s/it] 96%|█████████▌| 48/50 [02:47<00:06, 3.16s/it] 98%|█████████▊| 49/50 [02:49<00:03, 3.01s/it] 100%|██████████| 50/50 [02:50<00:00, 2.36s/it] 100%|██████████| 50/50 [02:50<00:00, 3.41s/it] Decoding latents in cuda:0... done in 1.68s Move latents to cpu... done in 0.02s 0: 640x480 5 faces, 162.6ms Speed: 3.2ms preprocess, 162.6ms inference, 23.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:02<00:46, 2.12s/it] 9%|▊ | 2/23 [00:03<00:38, 1.82s/it] 13%|█▎ | 3/23 [00:05<00:34, 1.72s/it] 17%|█▋ | 4/23 [00:06<00:31, 1.68s/it] 22%|██▏ | 5/23 [00:08<00:31, 1.75s/it] 26%|██▌ | 6/23 [00:10<00:28, 1.70s/it] 30%|███ | 7/23 [00:12<00:28, 1.77s/it] 35%|███▍ | 8/23 [00:14<00:27, 1.84s/it] 39%|███▉ | 9/23 [00:15<00:24, 1.78s/it] 43%|████▎ | 10/23 [00:17<00:22, 1.74s/it] 48%|████▊ | 11/23 [00:19<00:20, 1.73s/it] 52%|█████▏ | 12/23 [00:20<00:18, 1.69s/it] 57%|█████▋ | 13/23 [00:22<00:17, 1.75s/it] 61%|██████ | 14/23 [00:24<00:15, 1.71s/it] 65%|██████▌ | 15/23 [00:26<00:13, 1.73s/it] 70%|██████▉ | 16/23 [00:27<00:11, 1.70s/it] 74%|███████▍ | 17/23 [00:29<00:10, 1.70s/it] 78%|███████▊ | 18/23 [00:31<00:08, 1.73s/it] 83%|████████▎ | 19/23 [00:33<00:07, 1.75s/it] 87%|████████▋ | 20/23 [00:34<00:05, 1.72s/it] 91%|█████████▏| 21/23 [00:36<00:03, 1.75s/it] 96%|█████████▌| 22/23 [00:38<00:01, 1.69s/it] 100%|██████████| 23/23 [00:38<00:00, 1.36s/it] 100%|██████████| 23/23 [00:38<00:00, 1.69s/it] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:01<00:42, 1.92s/it] 9%|▊ | 2/23 [00:03<00:37, 1.76s/it] 13%|█▎ | 3/23 [00:05<00:33, 1.70s/it] 17%|█▋ | 4/23 [00:06<00:31, 1.65s/it] 22%|██▏ | 5/23 [00:08<00:30, 1.70s/it] 26%|██▌ | 6/23 [00:10<00:28, 1.68s/it] 30%|███ | 7/23 [00:11<00:27, 1.72s/it] 35%|███▍ | 8/23 [00:13<00:26, 1.79s/it] 39%|███▉ | 9/23 [00:15<00:24, 1.77s/it] 43%|████▎ | 10/23 [00:17<00:22, 1.73s/it] 48%|████▊ | 11/23 [00:19<00:20, 1.73s/it] 52%|█████▏ | 12/23 [00:20<00:19, 1.73s/it] 57%|█████▋ | 13/23 [00:22<00:17, 1.76s/it] 61%|██████ | 14/23 [00:24<00:15, 1.72s/it] 65%|██████▌ | 15/23 [00:25<00:13, 1.70s/it] 70%|██████▉ | 16/23 [00:27<00:11, 1.70s/it] 74%|███████▍ | 17/23 [00:29<00:10, 1.71s/it] 78%|███████▊ | 18/23 [00:31<00:08, 1.74s/it] 83%|████████▎ | 19/23 [00:32<00:07, 1.76s/it] 87%|████████▋ | 20/23 [00:34<00:05, 1.75s/it] 91%|█████████▏| 21/23 [00:36<00:03, 1.74s/it] 96%|█████████▌| 22/23 [00:37<00:01, 1.67s/it] 100%|██████████| 23/23 [00:38<00:00, 1.36s/it] 100%|██████████| 23/23 [00:38<00:00, 1.67s/it] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:01<00:42, 1.92s/it] 9%|▊ | 2/23 [00:03<00:37, 1.77s/it] 13%|█▎ | 3/23 [00:05<00:35, 1.79s/it] 17%|█▋ | 4/23 [00:07<00:34, 1.81s/it] 22%|██▏ | 5/23 [00:09<00:33, 1.84s/it] 26%|██▌ | 6/23 [00:10<00:29, 1.74s/it] 30%|███ | 7/23 [00:12<00:28, 1.79s/it] 35%|███▍ | 8/23 [00:14<00:27, 1.85s/it] 39%|███▉ | 9/23 [00:16<00:25, 1.83s/it] 43%|████▎ | 10/23 [00:17<00:23, 1.78s/it] 48%|████▊ | 11/23 [00:19<00:21, 1.78s/it] 52%|█████▏ | 12/23 [00:21<00:19, 1.74s/it] 57%|█████▋ | 13/23 [00:23<00:17, 1.80s/it] 61%|██████ | 14/23 [00:24<00:15, 1.75s/it] 65%|██████▌ | 15/23 [00:26<00:13, 1.72s/it] 70%|██████▉ | 16/23 [00:28<00:11, 1.70s/it] 74%|███████▍ | 17/23 [00:30<00:10, 1.71s/it] 78%|███████▊ | 18/23 [00:31<00:08, 1.75s/it] 83%|████████▎ | 19/23 [00:33<00:07, 1.77s/it] 87%|████████▋ | 20/23 [00:35<00:05, 1.73s/it] 91%|█████████▏| 21/23 [00:37<00:03, 1.73s/it] 96%|█████████▌| 22/23 [00:38<00:01, 1.68s/it] 100%|██████████| 23/23 [00:39<00:00, 1.35s/it] 100%|██████████| 23/23 [00:39<00:00, 1.70s/it] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:02<00:44, 2.01s/it] 9%|▊ | 2/23 [00:03<00:37, 1.77s/it] 13%|█▎ | 3/23 [00:05<00:34, 1.73s/it] 17%|█▋ | 4/23 [00:06<00:32, 1.69s/it] 22%|██▏ | 5/23 [00:08<00:31, 1.74s/it] 26%|██▌ | 6/23 [00:10<00:28, 1.68s/it] 30%|███ | 7/23 [00:12<00:28, 1.76s/it] 35%|███▍ | 8/23 [00:14<00:27, 1.81s/it] 39%|███▉ | 9/23 [00:15<00:24, 1.77s/it] 43%|████▎ | 10/23 [00:17<00:22, 1.73s/it] 48%|████▊ | 11/23 [00:19<00:20, 1.72s/it] 52%|█████▏ | 12/23 [00:20<00:18, 1.69s/it] 57%|█████▋ | 13/23 [00:22<00:17, 1.75s/it] 61%|██████ | 14/23 [00:24<00:15, 1.74s/it] 65%|██████▌ | 15/23 [00:26<00:13, 1.72s/it] 70%|██████▉ | 16/23 [00:27<00:11, 1.71s/it] 74%|███████▍ | 17/23 [00:29<00:10, 1.70s/it] 78%|███████▊ | 18/23 [00:31<00:08, 1.74s/it] 83%|████████▎ | 19/23 [00:33<00:06, 1.74s/it] 87%|████████▋ | 20/23 [00:34<00:05, 1.71s/it] 91%|█████████▏| 21/23 [00:36<00:03, 1.73s/it] 96%|█████████▌| 22/23 [00:37<00:01, 1.67s/it] 100%|██████████| 23/23 [00:38<00:00, 1.36s/it] 100%|██████████| 23/23 [00:38<00:00, 1.68s/it] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:02<00:47, 2.15s/it] 9%|▊ | 2/23 [00:03<00:38, 1.84s/it] 13%|█▎ | 3/23 [00:05<00:35, 1.77s/it] 17%|█▋ | 4/23 [00:07<00:32, 1.69s/it] 22%|██▏ | 5/23 [00:08<00:30, 1.72s/it] 26%|██▌ | 6/23 [00:10<00:28, 1.66s/it] 30%|███ | 7/23 [00:12<00:27, 1.72s/it] 35%|███▍ | 8/23 [00:14<00:26, 1.78s/it] 39%|███▉ | 9/23 [00:15<00:24, 1.72s/it] 43%|████▎ | 10/23 [00:17<00:22, 1.71s/it] 48%|████▊ | 11/23 [00:19<00:20, 1.70s/it] 52%|█████▏ | 12/23 [00:20<00:18, 1.70s/it] 57%|█████▋ | 13/23 [00:22<00:17, 1.74s/it] 61%|██████ | 14/23 [00:24<00:15, 1.70s/it] 65%|██████▌ | 15/23 [00:25<00:13, 1.69s/it] 70%|██████▉ | 16/23 [00:27<00:11, 1.70s/it] 74%|███████▍ | 17/23 [00:29<00:10, 1.70s/it] 78%|███████▊ | 18/23 [00:31<00:08, 1.77s/it] 83%|████████▎ | 19/23 [00:33<00:07, 1.80s/it] 87%|████████▋ | 20/23 [00:34<00:05, 1.75s/it] 91%|█████████▏| 21/23 [00:36<00:03, 1.73s/it] 96%|█████████▌| 22/23 [00:37<00:01, 1.67s/it] 100%|██████████| 23/23 [00:38<00:00, 1.36s/it] 100%|██████████| 23/23 [00:38<00:00, 1.68s/it] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0: 640x480 (no detections), 8.3ms Speed: 2.5ms preprocess, 8.3ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x480 4 faces, 8.1ms Speed: 2.3ms preprocess, 8.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:01<00:41, 1.88s/it] 9%|▊ | 2/23 [00:03<00:36, 1.73s/it] 13%|█▎ | 3/23 [00:05<00:34, 1.75s/it] 17%|█▋ | 4/23 [00:06<00:32, 1.71s/it] 22%|██▏ | 5/23 [00:08<00:31, 1.76s/it] 26%|██▌ | 6/23 [00:10<00:28, 1.70s/it] 30%|███ | 7/23 [00:12<00:28, 1.78s/it] 35%|███▍ | 8/23 [00:14<00:27, 1.83s/it] 39%|███▉ | 9/23 [00:15<00:24, 1.77s/it] 43%|████▎ | 10/23 [00:17<00:23, 1.77s/it] 48%|████▊ | 11/23 [00:19<00:21, 1.78s/it] 52%|█████▏ | 12/23 [00:21<00:19, 1.75s/it] 57%|█████▋ | 13/23 [00:23<00:18, 1.82s/it] 61%|██████ | 14/23 [00:24<00:16, 1.81s/it] 65%|██████▌ | 15/23 [00:26<00:14, 1.76s/it] 70%|██████▉ | 16/23 [00:28<00:12, 1.74s/it] 74%|███████▍ | 17/23 [00:29<00:10, 1.73s/it] 78%|███████▊ | 18/23 [00:31<00:08, 1.77s/it] 83%|████████▎ | 19/23 [00:33<00:07, 1.79s/it] 87%|████████▋ | 20/23 [00:35<00:05, 1.75s/it] 91%|█████████▏| 21/23 [00:36<00:03, 1.73s/it] 96%|█████████▌| 22/23 [00:38<00:01, 1.69s/it] 100%|██████████| 23/23 [00:39<00:00, 1.37s/it] 100%|██████████| 23/23 [00:39<00:00, 1.71s/it] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:01<00:43, 1.99s/it] 9%|▊ | 2/23 [00:03<00:37, 1.77s/it] 13%|█▎ | 3/23 [00:05<00:34, 1.74s/it] 17%|█▋ | 4/23 [00:06<00:32, 1.69s/it] 22%|██▏ | 5/23 [00:08<00:31, 1.73s/it] 26%|██▌ | 6/23 [00:10<00:28, 1.69s/it] 30%|███ | 7/23 [00:12<00:27, 1.74s/it] 35%|███▍ | 8/23 [00:14<00:27, 1.80s/it] 39%|███▉ | 9/23 [00:15<00:24, 1.76s/it] 43%|████▎ | 10/23 [00:17<00:22, 1.75s/it] 48%|████▊ | 11/23 [00:19<00:21, 1.75s/it] 52%|█████▏ | 12/23 [00:20<00:19, 1.73s/it] 57%|█████▋ | 13/23 [00:22<00:18, 1.81s/it] 61%|██████ | 14/23 [00:24<00:15, 1.77s/it] 65%|██████▌ | 15/23 [00:26<00:13, 1.74s/it] 70%|██████▉ | 16/23 [00:28<00:12, 1.75s/it] 74%|███████▍ | 17/23 [00:29<00:10, 1.74s/it] 78%|███████▊ | 18/23 [00:31<00:09, 1.81s/it] 83%|████████▎ | 19/23 [00:33<00:07, 1.92s/it] 87%|████████▋ | 20/23 [00:35<00:05, 1.90s/it] 91%|█████████▏| 21/23 [00:37<00:03, 1.85s/it] 96%|█████████▌| 22/23 [00:39<00:01, 1.77s/it] 100%|██████████| 23/23 [00:39<00:00, 1.44s/it] 100%|██████████| 23/23 [00:39<00:00, 1.73s/it] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:01<00:43, 2.00s/it] 9%|▊ | 2/23 [00:03<00:38, 1.82s/it] 13%|█▎ | 3/23 [00:05<00:36, 1.81s/it] 17%|█▋ | 4/23 [00:07<00:33, 1.76s/it] 22%|██▏ | 5/23 [00:09<00:32, 1.83s/it] 26%|██▌ | 6/23 [00:10<00:30, 1.80s/it] 30%|███ | 7/23 [00:12<00:29, 1.86s/it] 35%|███▍ | 8/23 [00:14<00:28, 1.93s/it] 39%|███▉ | 9/23 [00:16<00:26, 1.87s/it] 43%|████▎ | 10/23 [00:18<00:23, 1.83s/it] 48%|████▊ | 11/23 [00:20<00:21, 1.79s/it] 52%|█████▏ | 12/23 [00:21<00:19, 1.77s/it] 57%|█████▋ | 13/23 [00:23<00:18, 1.86s/it] 61%|██████ | 14/23 [00:25<00:16, 1.83s/it] 65%|██████▌ | 15/23 [00:27<00:14, 1.80s/it] 70%|██████▉ | 16/23 [00:29<00:12, 1.80s/it] 74%|███████▍ | 17/23 [00:30<00:10, 1.78s/it] 78%|███████▊ | 18/23 [00:32<00:09, 1.81s/it] 83%|████████▎ | 19/23 [00:34<00:07, 1.80s/it] 87%|████████▋ | 20/23 [00:36<00:05, 1.75s/it] 91%|█████████▏| 21/23 [00:37<00:03, 1.73s/it] 96%|█████████▌| 22/23 [00:39<00:01, 1.67s/it] 100%|██████████| 23/23 [00:40<00:00, 1.36s/it] 100%|██████████| 23/23 [00:40<00:00, 1.74s/it] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:02<00:46, 2.11s/it] 9%|▊ | 2/23 [00:04<00:41, 1.99s/it] 13%|█▎ | 3/23 [00:05<00:37, 1.88s/it] 17%|█▋ | 4/23 [00:07<00:33, 1.78s/it] 22%|██▏ | 5/23 [00:09<00:32, 1.81s/it] 26%|██▌ | 6/23 [00:10<00:29, 1.74s/it] 30%|███ | 7/23 [00:12<00:28, 1.79s/it] 35%|███▍ | 8/23 [00:14<00:27, 1.85s/it] 39%|███▉ | 9/23 [00:16<00:25, 1.83s/it] 43%|████▎ | 10/23 [00:18<00:23, 1.80s/it] 48%|████▊ | 11/23 [00:20<00:21, 1.79s/it] 52%|█████▏ | 12/23 [00:21<00:19, 1.77s/it] 57%|█████▋ | 13/23 [00:23<00:18, 1.81s/it] 61%|██████ | 14/23 [00:25<00:16, 1.79s/it] 65%|██████▌ | 15/23 [00:27<00:14, 1.75s/it] 70%|██████▉ | 16/23 [00:28<00:12, 1.73s/it] 74%|███████▍ | 17/23 [00:30<00:10, 1.71s/it] 78%|███████▊ | 18/23 [00:32<00:08, 1.76s/it] 83%|████████▎ | 19/23 [00:34<00:07, 1.79s/it] 87%|████████▋ | 20/23 [00:35<00:05, 1.75s/it] 91%|█████████▏| 21/23 [00:37<00:03, 1.75s/it] 96%|█████████▌| 22/23 [00:39<00:01, 1.69s/it] 100%|██████████| 23/23 [00:39<00:00, 1.37s/it] 100%|██████████| 23/23 [00:39<00:00, 1.73s/it] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s Uploading outputs... Finished.