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Realism Test with Newdream-SDXL
newdreamsdxl:v2.0
sparks
sparks
·
Feb 8
377
Input
prompt
Specify things to see in the output
Ultra realistic, ultra quality, masterpiece, HQ photo of a 18yo woman in a white see-through Summer Dress, white diamond choker, big breasts, toned waist, muscular ass, on a terrace, looking at a giant high tech city in the background, 35mm, bokeh, 4k
negative_prompt
Specify things to not see in the output
cartoon, anime, sketches, (worst quality:2), duplicate, (low quality:2), (normal quality:2),text, word, username, watermark, logo, lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, bad anatomy, girl, loli, young, red eyes, muscular, over saturated, over saturated, over saturated, underwear, panty, thong, bra
num_outputs
Number of output images
3
width
Output image width
1200
height
Output image height
1024
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
0.3
detail
Enhance/diminish detail while keeping the overall style/character
1
brightness
Adjust brightness
0
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3990474696
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 Karras
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
1
vae
Select VAE
sdxl_vae.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.
false
Output
https://files.tungsten.run/uploads/e063a2d0d58c4b2495051bd903349528/00000-3990474696.webp
https://files.tungsten.run/uploads/87a11fd43d764e4a914f8411ed3eac23/00001-3990474697.webp
https://files.tungsten.run/uploads/2e1da371964a4604bf0a512347879f6e/00002-3990474698.webp
Finished in 107.2 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Ultra realistic, ultra quality, masterpiece, HQ photo of a 18yo woman in a white see-through Summer Dress, white diamond choker, big breasts, toned waist, muscular ass, on a terrace, looking at a giant high tech city in the background, 35mm, bokeh, 4k, <lora:add-detail-xl:1.0> Full negative prompt: cartoon, anime, sketches, (worst quality:2), duplicate, (low quality:2), (normal quality:2),text, word, username, watermark, logo, lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, bad anatomy, girl, loli, young, red eyes, muscular, over saturated, over saturated, over saturated, underwear, panty, thong, bra 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:04<02:02, 4.22s/it] 7%|▋ | 2/30 [00:05<01:13, 2.61s/it] 10%|█ | 3/30 [00:07<00:56, 2.09s/it] 13%|█▎ | 4/30 [00:08<00:48, 1.86s/it] 17%|█▋ | 5/30 [00:10<00:43, 1.72s/it] 20%|██ | 6/30 [00:11<00:39, 1.65s/it] 23%|██▎ | 7/30 [00:13<00:36, 1.60s/it] 27%|██▋ | 8/30 [00:14<00:34, 1.57s/it] 30%|███ | 9/30 [00:16<00:32, 1.55s/it] 33%|███▎ | 10/30 [00:17<00:30, 1.54s/it] 37%|███▋ | 11/30 [00:19<00:29, 1.53s/it] 40%|████ | 12/30 [00:20<00:27, 1.52s/it] 43%|████▎ | 13/30 [00:22<00:25, 1.52s/it] 47%|████▋ | 14/30 [00:23<00:24, 1.52s/it] 50%|█████ | 15/30 [00:25<00:22, 1.52s/it] 53%|█████▎ | 16/30 [00:26<00:21, 1.52s/it] 57%|█████▋ | 17/30 [00:28<00:19, 1.52s/it] 60%|██████ | 18/30 [00:29<00:18, 1.52s/it] 63%|██████▎ | 19/30 [00:31<00:16, 1.53s/it] 67%|██████▋ | 20/30 [00:32<00:15, 1.53s/it] 70%|███████ | 21/30 [00:34<00:13, 1.53s/it] 73%|███████▎ | 22/30 [00:35<00:12, 1.54s/it] 77%|███████▋ | 23/30 [00:37<00:10, 1.54s/it] 80%|████████ | 24/30 [00:39<00:09, 1.54s/it] 83%|████████▎ | 25/30 [00:40<00:07, 1.54s/it] 87%|████████▋ | 26/30 [00:42<00:06, 1.54s/it] 90%|█████████ | 27/30 [00:43<00:04, 1.54s/it] 93%|█████████▎| 28/30 [00:45<00:03, 1.54s/it] 97%|█████████▋| 29/30 [00:46<00:01, 1.54s/it] 100%|██████████| 30/30 [00:48<00:00, 1.54s/it] 100%|██████████| 30/30 [00:48<00:00, 1.61s/it] Decoding latents in cuda:0... done in 2.86s Move latents to cpu... done in 0.03s 0: 576x640 1 face, 167.4ms Speed: 3.0ms preprocess, 167.4ms inference, 22.3ms postprocess per image at shape (1, 3, 576, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:07, 1.27it/s] 20%|██ | 2/10 [00:01<00:05, 1.41it/s] 30%|███ | 3/10 [00:02<00:04, 1.47it/s] 40%|████ | 4/10 [00:02<00:03, 1.52it/s] 50%|█████ | 5/10 [00:03<00:03, 1.55it/s] 60%|██████ | 6/10 [00:03<00:02, 1.57it/s] 70%|███████ | 7/10 [00:04<00:01, 1.59it/s] 80%|████████ | 8/10 [00:05<00:01, 1.58it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.59it/s] 100%|██████████| 10/10 [00:06<00:00, 1.60it/s] 100%|██████████| 10/10 [00:06<00:00, 1.55it/s] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.0s 0: 576x640 1 hand, 106.1ms Speed: 3.0ms preprocess, 106.1ms inference, 1.4ms postprocess per image at shape (1, 3, 576, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:05, 1.57it/s] 20%|██ | 2/10 [00:01<00:05, 1.57it/s] 30%|███ | 3/10 [00:01<00:04, 1.59it/s] 40%|████ | 4/10 [00:02<00:03, 1.59it/s] 50%|█████ | 5/10 [00:03<00:03, 1.59it/s] 60%|██████ | 6/10 [00:03<00:02, 1.59it/s] 70%|███████ | 7/10 [00:04<00:01, 1.57it/s] 80%|████████ | 8/10 [00:05<00:01, 1.58it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.58it/s] 100%|██████████| 10/10 [00:06<00:00, 1.55it/s] 100%|██████████| 10/10 [00:06<00:00, 1.57it/s] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.0s 0: 576x640 1 face, 9.4ms Speed: 3.6ms preprocess, 9.4ms inference, 1.5ms postprocess per image at shape (1, 3, 576, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:05, 1.57it/s] 20%|██ | 2/10 [00:01<00:05, 1.53it/s] 30%|███ | 3/10 [00:01<00:04, 1.51it/s] 40%|████ | 4/10 [00:02<00:03, 1.53it/s] 50%|█████ | 5/10 [00:03<00:03, 1.54it/s] 60%|██████ | 6/10 [00:03<00:02, 1.54it/s] 70%|███████ | 7/10 [00:04<00:01, 1.54it/s] 80%|████████ | 8/10 [00:05<00:01, 1.56it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.57it/s] 100%|██████████| 10/10 [00:06<00:00, 1.57it/s] 100%|██████████| 10/10 [00:06<00:00, 1.55it/s] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.0s 0: 576x640 1 hand, 7.8ms Speed: 3.0ms preprocess, 7.8ms inference, 1.5ms postprocess per image at shape (1, 3, 576, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:05, 1.63it/s] 20%|██ | 2/10 [00:01<00:05, 1.59it/s] 30%|███ | 3/10 [00:01<00:04, 1.59it/s] 40%|████ | 4/10 [00:02<00:03, 1.61it/s] 50%|█████ | 5/10 [00:03<00:03, 1.59it/s] 60%|██████ | 6/10 [00:03<00:02, 1.59it/s] 70%|███████ | 7/10 [00:04<00:01, 1.58it/s] 80%|████████ | 8/10 [00:05<00:01, 1.55it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.57it/s] 100%|██████████| 10/10 [00:06<00:00, 1.56it/s] 100%|██████████| 10/10 [00:06<00:00, 1.57it/s] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.0s 0: 576x640 1 face, 8.0ms Speed: 2.9ms preprocess, 8.0ms inference, 1.4ms postprocess per image at shape (1, 3, 576, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:05, 1.58it/s] 20%|██ | 2/10 [00:01<00:05, 1.59it/s] 30%|███ | 3/10 [00:01<00:04, 1.60it/s] 40%|████ | 4/10 [00:02<00:03, 1.58it/s] 50%|█████ | 5/10 [00:03<00:03, 1.58it/s] 60%|██████ | 6/10 [00:03<00:02, 1.54it/s] 70%|███████ | 7/10 [00:04<00:01, 1.53it/s] 80%|████████ | 8/10 [00:05<00:01, 1.52it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.54it/s] 100%|██████████| 10/10 [00:06<00:00, 1.55it/s] 100%|██████████| 10/10 [00:06<00:00, 1.56it/s] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.0s 0: 576x640 (no detections), 8.7ms Speed: 3.6ms preprocess, 8.7ms inference, 0.7ms postprocess per image at shape (1, 3, 576, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. Uploading outputs... Finished.
prompt
Specify things to see in the output
Ultra realistic, ultra quality, masterpiece, HQ photo of a 18yo woman in a white see-through Summer Dress, white diamond choker, big breasts, toned waist, muscular ass, on a terrace, looking at a giant high tech city in the background, 35mm, bokeh, 4k
negative_prompt
Specify things to not see in the output
cartoon, anime, sketches, (worst quality:2), duplicate, (low quality:2), (normal quality:2),text, word, username, watermark, logo, lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, bad anatomy, girl, loli, young, red eyes, muscular, over saturated, over saturated, over saturated, underwear, panty, thong, bra
num_outputs
Number of output images
3
width
Output image width
1200
height
Output image height
1024
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
0.3
detail
Enhance/diminish detail while keeping the overall style/character
1
brightness
Adjust brightness
0
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3990474696
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 Karras
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
1
vae
Select VAE
sdxl_vae.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.
false
https://files.tungsten.run/uploads/e063a2d0d58c4b2495051bd903349528/00000-3990474696.webp
https://files.tungsten.run/uploads/87a11fd43d764e4a914f8411ed3eac23/00001-3990474697.webp
https://files.tungsten.run/uploads/2e1da371964a4604bf0a512347879f6e/00002-3990474698.webp
Finished in 107.2 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Ultra realistic, ultra quality, masterpiece, HQ photo of a 18yo woman in a white see-through Summer Dress, white diamond choker, big breasts, toned waist, muscular ass, on a terrace, looking at a giant high tech city in the background, 35mm, bokeh, 4k, <lora:add-detail-xl:1.0> Full negative prompt: cartoon, anime, sketches, (worst quality:2), duplicate, (low quality:2), (normal quality:2),text, word, username, watermark, logo, lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, bad anatomy, girl, loli, young, red eyes, muscular, over saturated, over saturated, over saturated, underwear, panty, thong, bra 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:04<02:02, 4.22s/it] 7%|▋ | 2/30 [00:05<01:13, 2.61s/it] 10%|█ | 3/30 [00:07<00:56, 2.09s/it] 13%|█▎ | 4/30 [00:08<00:48, 1.86s/it] 17%|█▋ | 5/30 [00:10<00:43, 1.72s/it] 20%|██ | 6/30 [00:11<00:39, 1.65s/it] 23%|██▎ | 7/30 [00:13<00:36, 1.60s/it] 27%|██▋ | 8/30 [00:14<00:34, 1.57s/it] 30%|███ | 9/30 [00:16<00:32, 1.55s/it] 33%|███▎ | 10/30 [00:17<00:30, 1.54s/it] 37%|███▋ | 11/30 [00:19<00:29, 1.53s/it] 40%|████ | 12/30 [00:20<00:27, 1.52s/it] 43%|████▎ | 13/30 [00:22<00:25, 1.52s/it] 47%|████▋ | 14/30 [00:23<00:24, 1.52s/it] 50%|█████ | 15/30 [00:25<00:22, 1.52s/it] 53%|█████▎ | 16/30 [00:26<00:21, 1.52s/it] 57%|█████▋ | 17/30 [00:28<00:19, 1.52s/it] 60%|██████ | 18/30 [00:29<00:18, 1.52s/it] 63%|██████▎ | 19/30 [00:31<00:16, 1.53s/it] 67%|██████▋ | 20/30 [00:32<00:15, 1.53s/it] 70%|███████ | 21/30 [00:34<00:13, 1.53s/it] 73%|███████▎ | 22/30 [00:35<00:12, 1.54s/it] 77%|███████▋ | 23/30 [00:37<00:10, 1.54s/it] 80%|████████ | 24/30 [00:39<00:09, 1.54s/it] 83%|████████▎ | 25/30 [00:40<00:07, 1.54s/it] 87%|████████▋ | 26/30 [00:42<00:06, 1.54s/it] 90%|█████████ | 27/30 [00:43<00:04, 1.54s/it] 93%|█████████▎| 28/30 [00:45<00:03, 1.54s/it] 97%|█████████▋| 29/30 [00:46<00:01, 1.54s/it] 100%|██████████| 30/30 [00:48<00:00, 1.54s/it] 100%|██████████| 30/30 [00:48<00:00, 1.61s/it] Decoding latents in cuda:0... done in 2.86s Move latents to cpu... done in 0.03s 0: 576x640 1 face, 167.4ms Speed: 3.0ms preprocess, 167.4ms inference, 22.3ms postprocess per image at shape (1, 3, 576, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:07, 1.27it/s] 20%|██ | 2/10 [00:01<00:05, 1.41it/s] 30%|███ | 3/10 [00:02<00:04, 1.47it/s] 40%|████ | 4/10 [00:02<00:03, 1.52it/s] 50%|█████ | 5/10 [00:03<00:03, 1.55it/s] 60%|██████ | 6/10 [00:03<00:02, 1.57it/s] 70%|███████ | 7/10 [00:04<00:01, 1.59it/s] 80%|████████ | 8/10 [00:05<00:01, 1.58it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.59it/s] 100%|██████████| 10/10 [00:06<00:00, 1.60it/s] 100%|██████████| 10/10 [00:06<00:00, 1.55it/s] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.0s 0: 576x640 1 hand, 106.1ms Speed: 3.0ms preprocess, 106.1ms inference, 1.4ms postprocess per image at shape (1, 3, 576, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:05, 1.57it/s] 20%|██ | 2/10 [00:01<00:05, 1.57it/s] 30%|███ | 3/10 [00:01<00:04, 1.59it/s] 40%|████ | 4/10 [00:02<00:03, 1.59it/s] 50%|█████ | 5/10 [00:03<00:03, 1.59it/s] 60%|██████ | 6/10 [00:03<00:02, 1.59it/s] 70%|███████ | 7/10 [00:04<00:01, 1.57it/s] 80%|████████ | 8/10 [00:05<00:01, 1.58it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.58it/s] 100%|██████████| 10/10 [00:06<00:00, 1.55it/s] 100%|██████████| 10/10 [00:06<00:00, 1.57it/s] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.0s 0: 576x640 1 face, 9.4ms Speed: 3.6ms preprocess, 9.4ms inference, 1.5ms postprocess per image at shape (1, 3, 576, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:05, 1.57it/s] 20%|██ | 2/10 [00:01<00:05, 1.53it/s] 30%|███ | 3/10 [00:01<00:04, 1.51it/s] 40%|████ | 4/10 [00:02<00:03, 1.53it/s] 50%|█████ | 5/10 [00:03<00:03, 1.54it/s] 60%|██████ | 6/10 [00:03<00:02, 1.54it/s] 70%|███████ | 7/10 [00:04<00:01, 1.54it/s] 80%|████████ | 8/10 [00:05<00:01, 1.56it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.57it/s] 100%|██████████| 10/10 [00:06<00:00, 1.57it/s] 100%|██████████| 10/10 [00:06<00:00, 1.55it/s] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.0s 0: 576x640 1 hand, 7.8ms Speed: 3.0ms preprocess, 7.8ms inference, 1.5ms postprocess per image at shape (1, 3, 576, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:05, 1.63it/s] 20%|██ | 2/10 [00:01<00:05, 1.59it/s] 30%|███ | 3/10 [00:01<00:04, 1.59it/s] 40%|████ | 4/10 [00:02<00:03, 1.61it/s] 50%|█████ | 5/10 [00:03<00:03, 1.59it/s] 60%|██████ | 6/10 [00:03<00:02, 1.59it/s] 70%|███████ | 7/10 [00:04<00:01, 1.58it/s] 80%|████████ | 8/10 [00:05<00:01, 1.55it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.57it/s] 100%|██████████| 10/10 [00:06<00:00, 1.56it/s] 100%|██████████| 10/10 [00:06<00:00, 1.57it/s] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.0s 0: 576x640 1 face, 8.0ms Speed: 2.9ms preprocess, 8.0ms inference, 1.4ms postprocess per image at shape (1, 3, 576, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:05, 1.58it/s] 20%|██ | 2/10 [00:01<00:05, 1.59it/s] 30%|███ | 3/10 [00:01<00:04, 1.60it/s] 40%|████ | 4/10 [00:02<00:03, 1.58it/s] 50%|█████ | 5/10 [00:03<00:03, 1.58it/s] 60%|██████ | 6/10 [00:03<00:02, 1.54it/s] 70%|███████ | 7/10 [00:04<00:01, 1.53it/s] 80%|████████ | 8/10 [00:05<00:01, 1.52it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.54it/s] 100%|██████████| 10/10 [00:06<00:00, 1.55it/s] 100%|██████████| 10/10 [00:06<00:00, 1.56it/s] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.0s 0: 576x640 (no detections), 8.7ms Speed: 3.6ms preprocess, 8.7ms inference, 0.7ms postprocess per image at shape (1, 3, 576, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. Uploading outputs... Finished.