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Landscape photography by Galen Rowell –v 5
truality-engine:v3.0
hantupota
hantupota
·
12/30/2023
357
Input
prompt
Specify things to see in the output
(Landscape photography by Galen Rowell –v 5) landscape photography of biotechnologist named Vega creates a holographic zoo in the middle of a futuristic city on Planet Zootopia (sci-fi art by H.R. Giger –v 5). Miniature fantastical (fantasy art by Frank Frazetta –v 5) creatures interact with visitors, creating a unique encounter between technology and wildlife (Low poly model by Mat Szulik –v 5). stunning landscape, delicacy, shot on hasselblad, realistic skin, global illumination,ultra-realistic,intricate details, historically accurate, award winning costume design, cinematic light, phantom high speed camera --s 1000 --ar 16:9 --v 5.2
negative_prompt
Specify things to not see in the output
(deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation
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.
896026309
width
Output image width
768
height
Output image height
768
reference_image
Image that the output should be similar to
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
1
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
1
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
1
sampler
Sampler type
DPM++ 2M Karras
samping_steps
Number of denoising steps
40
cfg_scale
Scale for classifier-free guidance
10
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
clearvae_v2.3_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
FaceBeauty_qinglong_V3.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
more_details.safetensors
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/3fde9ac115f6407f81a7aff10ec095bf/00000-896026309.png
https://files.tungsten.run/uploads/870632ff145b4b2f9fbf5c69596e095c/00001-896026310.png
https://files.tungsten.run/uploads/ddea1ab18f37411da1e6fb6fefe8fca7/00002-896026311.png
https://files.tungsten.run/uploads/7b7ab8c5bc5c4a07a0e0e9e18e7d7ea2/00003-896026312.png
Finished in 41.5 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: (Landscape photography by Galen Rowell –v 5) landscape photography of biotechnologist named Vega creates a holographic zoo in the middle of a futuristic city on Planet Zootopia (sci-fi art by H.R. Giger –v 5). Miniature fantastical (fantasy art by Frank Frazetta –v 5) creatures interact with visitors, creating a unique encounter between technology and wildlife (Low poly model by Mat Szulik –v 5). stunning landscape, delicacy, shot on hasselblad, realistic skin, global illumination,ultra-realistic,intricate details, historically accurate, award winning costume design, cinematic light, phantom high speed camera --s 1000 --ar 16:9 --v 5.2, (masterpiece:1.5), (top quality:1.5), (real life photo:1.5), (ultra detailed:1.5) Full negative prompt: (deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<00:44, 1.13s/it] 5%|▌ | 2/40 [00:01<00:31, 1.19it/s] 8%|▊ | 3/40 [00:02<00:27, 1.35it/s] 10%|█ | 4/40 [00:03<00:25, 1.43it/s] 12%|█▎ | 5/40 [00:03<00:23, 1.48it/s] 15%|█▌ | 6/40 [00:04<00:22, 1.52it/s] 18%|█▊ | 7/40 [00:04<00:21, 1.53it/s] 20%|██ | 8/40 [00:05<00:20, 1.55it/s] 22%|██▎ | 9/40 [00:06<00:19, 1.56it/s] 25%|██▌ | 10/40 [00:06<00:19, 1.56it/s] 28%|██▊ | 11/40 [00:07<00:18, 1.57it/s] 30%|███ | 12/40 [00:08<00:17, 1.57it/s] 32%|███▎ | 13/40 [00:08<00:17, 1.57it/s] 35%|███▌ | 14/40 [00:09<00:16, 1.57it/s] 38%|███▊ | 15/40 [00:10<00:15, 1.57it/s] 40%|████ | 16/40 [00:10<00:15, 1.57it/s] 42%|████▎ | 17/40 [00:11<00:14, 1.57it/s] 45%|████▌ | 18/40 [00:11<00:13, 1.57it/s] 48%|████▊ | 19/40 [00:12<00:13, 1.57it/s] 50%|█████ | 20/40 [00:13<00:12, 1.57it/s] 52%|█████▎ | 21/40 [00:13<00:12, 1.57it/s] 55%|█████▌ | 22/40 [00:14<00:11, 1.56it/s] 57%|█████▊ | 23/40 [00:15<00:10, 1.56it/s] 60%|██████ | 24/40 [00:15<00:10, 1.56it/s] 62%|██████▎ | 25/40 [00:16<00:09, 1.56it/s] 65%|██████▌ | 26/40 [00:17<00:08, 1.56it/s] 68%|██████▊ | 27/40 [00:17<00:08, 1.56it/s] 70%|███████ | 28/40 [00:18<00:07, 1.56it/s] 72%|███████▎ | 29/40 [00:18<00:07, 1.56it/s] 75%|███████▌ | 30/40 [00:19<00:06, 1.56it/s] 78%|███████▊ | 31/40 [00:20<00:05, 1.56it/s] 80%|████████ | 32/40 [00:20<00:05, 1.56it/s] 82%|████████▎ | 33/40 [00:21<00:04, 1.56it/s] 85%|████████▌ | 34/40 [00:22<00:03, 1.56it/s] 88%|████████▊ | 35/40 [00:22<00:03, 1.56it/s] 90%|█████████ | 36/40 [00:23<00:02, 1.55it/s] 92%|█████████▎| 37/40 [00:24<00:01, 1.55it/s] 95%|█████████▌| 38/40 [00:24<00:01, 1.55it/s] 98%|█████████▊| 39/40 [00:25<00:00, 1.55it/s] 100%|██████████| 40/40 [00:26<00:00, 1.55it/s] 100%|██████████| 40/40 [00:26<00:00, 1.54it/s] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.01s [-] ADetailer: nothing detected on image 1 with 1st settings. [-] ADetailer: nothing detected on image 1 with 2nd settings. 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:08, 2.70it/s] 9%|▊ | 2/23 [00:00<00:05, 3.78it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.30it/s] 17%|█▋ | 4/23 [00:00<00:04, 4.63it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.83it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.96it/s] 30%|███ | 7/23 [00:01<00:03, 5.06it/s] 35%|███▍ | 8/23 [00:01<00:02, 5.13it/s] 39%|███▉ | 9/23 [00:01<00:02, 5.17it/s] 43%|████▎ | 10/23 [00:02<00:02, 5.19it/s] 48%|████▊ | 11/23 [00:02<00:02, 5.20it/s] 52%|█████▏ | 12/23 [00:02<00:02, 5.20it/s] 57%|█████▋ | 13/23 [00:02<00:01, 5.22it/s] 61%|██████ | 14/23 [00:02<00:01, 5.19it/s] 65%|██████▌ | 15/23 [00:03<00:01, 5.20it/s] 70%|██████▉ | 16/23 [00:03<00:01, 5.20it/s] 74%|███████▍ | 17/23 [00:03<00:01, 5.21it/s] 78%|███████▊ | 18/23 [00:03<00:00, 5.23it/s] 83%|████████▎ | 19/23 [00:03<00:00, 5.21it/s] 87%|████████▋ | 20/23 [00:04<00:00, 5.22it/s] 91%|█████████▏| 21/23 [00:04<00:00, 5.23it/s] 96%|█████████▌| 22/23 [00:04<00:00, 5.15it/s] 100%|██████████| 23/23 [00:04<00:00, 5.13it/s] 100%|██████████| 23/23 [00:04<00:00, 5.01it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s [-] ADetailer: nothing detected on image 2 with 2nd settings. [-] ADetailer: nothing detected on image 3 with 1st settings. [-] ADetailer: nothing detected on image 3 with 2nd settings. 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 5.24it/s] 9%|▊ | 2/23 [00:00<00:04, 5.24it/s] 13%|█▎ | 3/23 [00:00<00:03, 5.25it/s] 17%|█▋ | 4/23 [00:00<00:03, 5.24it/s] 22%|██▏ | 5/23 [00:00<00:03, 5.21it/s] 26%|██▌ | 6/23 [00:01<00:03, 5.18it/s] 30%|███ | 7/23 [00:01<00:03, 5.18it/s] 35%|███▍ | 8/23 [00:01<00:02, 5.20it/s] 39%|███▉ | 9/23 [00:01<00:02, 5.19it/s] 43%|████▎ | 10/23 [00:01<00:02, 5.21it/s] 48%|████▊ | 11/23 [00:02<00:02, 5.21it/s] 52%|█████▏ | 12/23 [00:02<00:02, 5.23it/s] 57%|█████▋ | 13/23 [00:02<00:01, 5.24it/s] 61%|██████ | 14/23 [00:02<00:01, 5.22it/s] 65%|██████▌ | 15/23 [00:02<00:01, 5.19it/s] 70%|██████▉ | 16/23 [00:03<00:01, 5.18it/s] 74%|███████▍ | 17/23 [00:03<00:01, 5.17it/s] 78%|███████▊ | 18/23 [00:03<00:00, 5.12it/s] 83%|████████▎ | 19/23 [00:03<00:00, 5.05it/s] 87%|████████▋ | 20/23 [00:03<00:00, 5.04it/s] 91%|█████████▏| 21/23 [00:04<00:00, 5.09it/s] 96%|█████████▌| 22/23 [00:04<00:00, 5.12it/s] 100%|██████████| 23/23 [00:04<00:00, 5.14it/s] 100%|██████████| 23/23 [00:04<00:00, 5.17it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s [-] ADetailer: nothing detected on image 4 with 2nd settings. Uploading outputs... Finished.
prompt
Specify things to see in the output
(Landscape photography by Galen Rowell –v 5) landscape photography of biotechnologist named Vega creates a holographic zoo in the middle of a futuristic city on Planet Zootopia (sci-fi art by H.R. Giger –v 5). Miniature fantastical (fantasy art by Frank Frazetta –v 5) creatures interact with visitors, creating a unique encounter between technology and wildlife (Low poly model by Mat Szulik –v 5). stunning landscape, delicacy, shot on hasselblad, realistic skin, global illumination,ultra-realistic,intricate details, historically accurate, award winning costume design, cinematic light, phantom high speed camera --s 1000 --ar 16:9 --v 5.2
negative_prompt
Specify things to not see in the output
(deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation
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.
896026309
width
Output image width
768
height
Output image height
768
reference_image
Image that the output should be similar to
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
1
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
1
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
1
sampler
Sampler type
DPM++ 2M Karras
samping_steps
Number of denoising steps
40
cfg_scale
Scale for classifier-free guidance
10
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
clearvae_v2.3_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
FaceBeauty_qinglong_V3.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
more_details.safetensors
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/3fde9ac115f6407f81a7aff10ec095bf/00000-896026309.png
https://files.tungsten.run/uploads/870632ff145b4b2f9fbf5c69596e095c/00001-896026310.png
https://files.tungsten.run/uploads/ddea1ab18f37411da1e6fb6fefe8fca7/00002-896026311.png
https://files.tungsten.run/uploads/7b7ab8c5bc5c4a07a0e0e9e18e7d7ea2/00003-896026312.png
Finished in 41.5 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: (Landscape photography by Galen Rowell –v 5) landscape photography of biotechnologist named Vega creates a holographic zoo in the middle of a futuristic city on Planet Zootopia (sci-fi art by H.R. Giger –v 5). Miniature fantastical (fantasy art by Frank Frazetta –v 5) creatures interact with visitors, creating a unique encounter between technology and wildlife (Low poly model by Mat Szulik –v 5). stunning landscape, delicacy, shot on hasselblad, realistic skin, global illumination,ultra-realistic,intricate details, historically accurate, award winning costume design, cinematic light, phantom high speed camera --s 1000 --ar 16:9 --v 5.2, (masterpiece:1.5), (top quality:1.5), (real life photo:1.5), (ultra detailed:1.5) Full negative prompt: (deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<00:44, 1.13s/it] 5%|▌ | 2/40 [00:01<00:31, 1.19it/s] 8%|▊ | 3/40 [00:02<00:27, 1.35it/s] 10%|█ | 4/40 [00:03<00:25, 1.43it/s] 12%|█▎ | 5/40 [00:03<00:23, 1.48it/s] 15%|█▌ | 6/40 [00:04<00:22, 1.52it/s] 18%|█▊ | 7/40 [00:04<00:21, 1.53it/s] 20%|██ | 8/40 [00:05<00:20, 1.55it/s] 22%|██▎ | 9/40 [00:06<00:19, 1.56it/s] 25%|██▌ | 10/40 [00:06<00:19, 1.56it/s] 28%|██▊ | 11/40 [00:07<00:18, 1.57it/s] 30%|███ | 12/40 [00:08<00:17, 1.57it/s] 32%|███▎ | 13/40 [00:08<00:17, 1.57it/s] 35%|███▌ | 14/40 [00:09<00:16, 1.57it/s] 38%|███▊ | 15/40 [00:10<00:15, 1.57it/s] 40%|████ | 16/40 [00:10<00:15, 1.57it/s] 42%|████▎ | 17/40 [00:11<00:14, 1.57it/s] 45%|████▌ | 18/40 [00:11<00:13, 1.57it/s] 48%|████▊ | 19/40 [00:12<00:13, 1.57it/s] 50%|█████ | 20/40 [00:13<00:12, 1.57it/s] 52%|█████▎ | 21/40 [00:13<00:12, 1.57it/s] 55%|█████▌ | 22/40 [00:14<00:11, 1.56it/s] 57%|█████▊ | 23/40 [00:15<00:10, 1.56it/s] 60%|██████ | 24/40 [00:15<00:10, 1.56it/s] 62%|██████▎ | 25/40 [00:16<00:09, 1.56it/s] 65%|██████▌ | 26/40 [00:17<00:08, 1.56it/s] 68%|██████▊ | 27/40 [00:17<00:08, 1.56it/s] 70%|███████ | 28/40 [00:18<00:07, 1.56it/s] 72%|███████▎ | 29/40 [00:18<00:07, 1.56it/s] 75%|███████▌ | 30/40 [00:19<00:06, 1.56it/s] 78%|███████▊ | 31/40 [00:20<00:05, 1.56it/s] 80%|████████ | 32/40 [00:20<00:05, 1.56it/s] 82%|████████▎ | 33/40 [00:21<00:04, 1.56it/s] 85%|████████▌ | 34/40 [00:22<00:03, 1.56it/s] 88%|████████▊ | 35/40 [00:22<00:03, 1.56it/s] 90%|█████████ | 36/40 [00:23<00:02, 1.55it/s] 92%|█████████▎| 37/40 [00:24<00:01, 1.55it/s] 95%|█████████▌| 38/40 [00:24<00:01, 1.55it/s] 98%|█████████▊| 39/40 [00:25<00:00, 1.55it/s] 100%|██████████| 40/40 [00:26<00:00, 1.55it/s] 100%|██████████| 40/40 [00:26<00:00, 1.54it/s] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.01s [-] ADetailer: nothing detected on image 1 with 1st settings. [-] ADetailer: nothing detected on image 1 with 2nd settings. 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:08, 2.70it/s] 9%|▊ | 2/23 [00:00<00:05, 3.78it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.30it/s] 17%|█▋ | 4/23 [00:00<00:04, 4.63it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.83it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.96it/s] 30%|███ | 7/23 [00:01<00:03, 5.06it/s] 35%|███▍ | 8/23 [00:01<00:02, 5.13it/s] 39%|███▉ | 9/23 [00:01<00:02, 5.17it/s] 43%|████▎ | 10/23 [00:02<00:02, 5.19it/s] 48%|████▊ | 11/23 [00:02<00:02, 5.20it/s] 52%|█████▏ | 12/23 [00:02<00:02, 5.20it/s] 57%|█████▋ | 13/23 [00:02<00:01, 5.22it/s] 61%|██████ | 14/23 [00:02<00:01, 5.19it/s] 65%|██████▌ | 15/23 [00:03<00:01, 5.20it/s] 70%|██████▉ | 16/23 [00:03<00:01, 5.20it/s] 74%|███████▍ | 17/23 [00:03<00:01, 5.21it/s] 78%|███████▊ | 18/23 [00:03<00:00, 5.23it/s] 83%|████████▎ | 19/23 [00:03<00:00, 5.21it/s] 87%|████████▋ | 20/23 [00:04<00:00, 5.22it/s] 91%|█████████▏| 21/23 [00:04<00:00, 5.23it/s] 96%|█████████▌| 22/23 [00:04<00:00, 5.15it/s] 100%|██████████| 23/23 [00:04<00:00, 5.13it/s] 100%|██████████| 23/23 [00:04<00:00, 5.01it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s [-] ADetailer: nothing detected on image 2 with 2nd settings. [-] ADetailer: nothing detected on image 3 with 1st settings. [-] ADetailer: nothing detected on image 3 with 2nd settings. 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 5.24it/s] 9%|▊ | 2/23 [00:00<00:04, 5.24it/s] 13%|█▎ | 3/23 [00:00<00:03, 5.25it/s] 17%|█▋ | 4/23 [00:00<00:03, 5.24it/s] 22%|██▏ | 5/23 [00:00<00:03, 5.21it/s] 26%|██▌ | 6/23 [00:01<00:03, 5.18it/s] 30%|███ | 7/23 [00:01<00:03, 5.18it/s] 35%|███▍ | 8/23 [00:01<00:02, 5.20it/s] 39%|███▉ | 9/23 [00:01<00:02, 5.19it/s] 43%|████▎ | 10/23 [00:01<00:02, 5.21it/s] 48%|████▊ | 11/23 [00:02<00:02, 5.21it/s] 52%|█████▏ | 12/23 [00:02<00:02, 5.23it/s] 57%|█████▋ | 13/23 [00:02<00:01, 5.24it/s] 61%|██████ | 14/23 [00:02<00:01, 5.22it/s] 65%|██████▌ | 15/23 [00:02<00:01, 5.19it/s] 70%|██████▉ | 16/23 [00:03<00:01, 5.18it/s] 74%|███████▍ | 17/23 [00:03<00:01, 5.17it/s] 78%|███████▊ | 18/23 [00:03<00:00, 5.12it/s] 83%|████████▎ | 19/23 [00:03<00:00, 5.05it/s] 87%|████████▋ | 20/23 [00:03<00:00, 5.04it/s] 91%|█████████▏| 21/23 [00:04<00:00, 5.09it/s] 96%|█████████▌| 22/23 [00:04<00:00, 5.12it/s] 100%|██████████| 23/23 [00:04<00:00, 5.14it/s] 100%|██████████| 23/23 [00:04<00:00, 5.17it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s [-] ADetailer: nothing detected on image 4 with 2nd settings. Uploading outputs... Finished.