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Cute Elephants with Tamarin XL
tamarin-xl:v1.0
evevalentine2017
evevalentine2017
·
Feb 3
334
Input
prompt
Specify things to see in the output
cute cartoon character big-eyed baby elephant in the suit, toys are scattered nearby, strong contrast, <lora:tweak-detail-xl:2>, no humans
negative_prompt
Specify things to not see in the output
(humans), (human), (people), (human face), (human skin), (human lips), (human nose), (human eyes), doll, toy, toying, plastic, sketch, painting, anime, animation, manga, hentai, comic, cartoon, book cover, 8bit, pixel art, pixelart, b&w, blac and white, text, monochrome, watermark, canvas frame, blurry, ugly, closed eyes, elongated body, elongated neck, out of frame, disfigured, deformed, extra fingers, fused fingers, stump fingers, extra arms, extra hands, extra feets, extra legs, mutated hands, poorly drawn hands, extra arms, extra legs, mutated hands, mutated fingers, mutation, mutated, crossed eyes, (poorly drawn face:1.5), (worst quality, low quality, normal quality:1.4), badhandv4, bad-hands-5, negative_hand-neg
num_outputs
Number of output images
3
width
Output image width
768
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
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
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.
3648863709
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
40
cfg_scale
Scale for classifier-free guidance
5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
None
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
tweak-detail-xl.safetensors
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)
badhandv4.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-hands-5.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
negative_hand-neg.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
Output
https://files.tungsten.run/uploads/55bcf0bcc51547358ed0b72924b7108e/00000-3648863709.webp
https://files.tungsten.run/uploads/aadc2026007346f5bc9c70de019ebbb9/00001-3648863710.webp
https://files.tungsten.run/uploads/f376b8d98c334afc9e1301a91494a629/00002-3648863711.webp
Finished in 90.8 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: cute cartoon character big-eyed baby elephant in the suit, toys are scattered nearby, strong contrast, <lora:tweak-detail-xl:2>, no humans Full negative prompt: (humans), (human), (people), (human face), (human skin), (human lips), (human nose), (human eyes), doll, toy, toying, plastic, sketch, painting, anime, animation, manga, hentai, comic, cartoon, book cover, 8bit, pixel art, pixelart, b&w, blac and white, text, monochrome, watermark, canvas frame, blurry, ugly, closed eyes, elongated body, elongated neck, out of frame, disfigured, deformed, extra fingers, fused fingers, stump fingers, extra arms, extra hands, extra feets, extra legs, mutated hands, poorly drawn hands, extra arms, extra legs, mutated hands, mutated fingers, mutation, mutated, crossed eyes, (poorly drawn face:1.5), (worst quality, low quality, normal quality:1.4), badhandv4, bad-hands-5, negative_hand-neg 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:02<01:33, 2.40s/it] 5%|▌ | 2/40 [00:03<00:57, 1.50s/it] 8%|▊ | 3/40 [00:04<00:44, 1.21s/it] 10%|█ | 4/40 [00:05<00:38, 1.08s/it] 12%|█▎ | 5/40 [00:05<00:35, 1.01s/it] 15%|█▌ | 6/40 [00:06<00:32, 1.03it/s] 18%|█▊ | 7/40 [00:07<00:30, 1.07it/s] 20%|██ | 8/40 [00:08<00:29, 1.09it/s] 22%|██▎ | 9/40 [00:09<00:28, 1.10it/s] 25%|██▌ | 10/40 [00:10<00:27, 1.11it/s] 28%|██▊ | 11/40 [00:11<00:26, 1.11it/s] 30%|███ | 12/40 [00:12<00:25, 1.12it/s] 32%|███▎ | 13/40 [00:12<00:24, 1.12it/s] 35%|███▌ | 14/40 [00:13<00:23, 1.12it/s] 38%|███▊ | 15/40 [00:14<00:22, 1.12it/s] 40%|████ | 16/40 [00:15<00:21, 1.12it/s] 42%|████▎ | 17/40 [00:16<00:20, 1.12it/s] 45%|████▌ | 18/40 [00:17<00:19, 1.12it/s] 48%|████▊ | 19/40 [00:18<00:18, 1.12it/s] 50%|█████ | 20/40 [00:19<00:17, 1.11it/s] 52%|█████▎ | 21/40 [00:20<00:17, 1.11it/s] 55%|█████▌ | 22/40 [00:21<00:16, 1.11it/s] 57%|█████▊ | 23/40 [00:21<00:15, 1.11it/s] 60%|██████ | 24/40 [00:22<00:14, 1.11it/s] 62%|██████▎ | 25/40 [00:23<00:13, 1.11it/s] 65%|██████▌ | 26/40 [00:24<00:12, 1.11it/s] 68%|██████▊ | 27/40 [00:25<00:11, 1.11it/s] 70%|███████ | 28/40 [00:26<00:10, 1.10it/s] 72%|███████▎ | 29/40 [00:27<00:09, 1.10it/s] 75%|███████▌ | 30/40 [00:28<00:09, 1.10it/s] 78%|███████▊ | 31/40 [00:29<00:08, 1.10it/s] 80%|████████ | 32/40 [00:30<00:07, 1.10it/s] 82%|████████▎ | 33/40 [00:31<00:06, 1.10it/s] 85%|████████▌ | 34/40 [00:31<00:05, 1.10it/s] 88%|████████▊ | 35/40 [00:32<00:04, 1.10it/s] 90%|█████████ | 36/40 [00:33<00:03, 1.10it/s] 92%|█████████▎| 37/40 [00:34<00:02, 1.10it/s] 95%|█████████▌| 38/40 [00:35<00:01, 1.10it/s] 98%|█████████▊| 39/40 [00:36<00:00, 1.10it/s] 100%|██████████| 40/40 [00:37<00:00, 1.11it/s] 100%|██████████| 40/40 [00:37<00:00, 1.07it/s] Decoding latents in cuda:0... done in 1.73s Move latents to cpu... done in 0.02s 0: 640x480 (no detections), 158.3ms Speed: 2.5ms preprocess, 158.3ms inference, 9.2ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x480 2 hands, 99.9ms Speed: 2.4ms preprocess, 99.9ms inference, 21.9ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:13, 1.33it/s] 11%|█ | 2/19 [00:01<00:11, 1.53it/s] 16%|█▌ | 3/19 [00:01<00:10, 1.59it/s] 21%|██ | 4/19 [00:02<00:09, 1.62it/s] 26%|██▋ | 5/19 [00:03<00:08, 1.64it/s] 32%|███▏ | 6/19 [00:03<00:08, 1.59it/s] 37%|███▋ | 7/19 [00:04<00:07, 1.63it/s] 42%|████▏ | 8/19 [00:04<00:06, 1.65it/s] 47%|████▋ | 9/19 [00:05<00:06, 1.66it/s] 53%|█████▎ | 10/19 [00:06<00:05, 1.66it/s] 58%|█████▊ | 11/19 [00:06<00:04, 1.65it/s] 63%|██████▎ | 12/19 [00:07<00:04, 1.66it/s] 68%|██████▊ | 13/19 [00:07<00:03, 1.66it/s] 74%|███████▎ | 14/19 [00:08<00:02, 1.67it/s] 79%|███████▉ | 15/19 [00:09<00:02, 1.68it/s] 84%|████████▍ | 16/19 [00:09<00:01, 1.68it/s] 89%|████████▉ | 17/19 [00:10<00:01, 1.56it/s] 95%|█████████▍| 18/19 [00:11<00:00, 1.48it/s] 100%|██████████| 19/19 [00:12<00:00, 1.40it/s] 100%|██████████| 19/19 [00:12<00:00, 1.58it/s] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:12, 1.49it/s] 11%|█ | 2/19 [00:01<00:11, 1.52it/s] 16%|█▌ | 3/19 [00:01<00:10, 1.56it/s] 21%|██ | 4/19 [00:02<00:09, 1.57it/s] 26%|██▋ | 5/19 [00:03<00:08, 1.58it/s] 32%|███▏ | 6/19 [00:03<00:08, 1.60it/s] 37%|███▋ | 7/19 [00:04<00:07, 1.62it/s] 42%|████▏ | 8/19 [00:05<00:06, 1.63it/s] 47%|████▋ | 9/19 [00:05<00:06, 1.61it/s] 53%|█████▎ | 10/19 [00:06<00:05, 1.62it/s] 58%|█████▊ | 11/19 [00:06<00:04, 1.63it/s] 63%|██████▎ | 12/19 [00:07<00:04, 1.64it/s] 68%|██████▊ | 13/19 [00:08<00:03, 1.65it/s] 74%|███████▎ | 14/19 [00:08<00:03, 1.66it/s] 79%|███████▉ | 15/19 [00:09<00:02, 1.66it/s] 84%|████████▍ | 16/19 [00:09<00:01, 1.65it/s] 89%|████████▉ | 17/19 [00:10<00:01, 1.65it/s] 95%|█████████▍| 18/19 [00:11<00:00, 1.66it/s] 100%|██████████| 19/19 [00:11<00:00, 1.67it/s] 100%|██████████| 19/19 [00:11<00:00, 1.63it/s] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0: 640x480 (no detections), 7.9ms Speed: 2.6ms preprocess, 7.9ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x480 (no detections), 7.9ms Speed: 2.3ms preprocess, 7.9ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x480 1 face, 8.2ms Speed: 2.3ms preprocess, 8.2ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:10, 1.66it/s] 11%|█ | 2/19 [00:01<00:10, 1.67it/s] 16%|█▌ | 3/19 [00:01<00:09, 1.65it/s] 21%|██ | 4/19 [00:02<00:09, 1.66it/s] 26%|██▋ | 5/19 [00:03<00:08, 1.67it/s] 32%|███▏ | 6/19 [00:03<00:07, 1.65it/s] 37%|███▋ | 7/19 [00:04<00:07, 1.62it/s] 42%|████▏ | 8/19 [00:04<00:06, 1.61it/s] 47%|████▋ | 9/19 [00:05<00:06, 1.59it/s] 53%|█████▎ | 10/19 [00:06<00:05, 1.60it/s] 58%|█████▊ | 11/19 [00:06<00:04, 1.63it/s] 63%|██████▎ | 12/19 [00:07<00:04, 1.64it/s] 68%|██████▊ | 13/19 [00:07<00:03, 1.66it/s] 74%|███████▎ | 14/19 [00:08<00:03, 1.66it/s] 79%|███████▉ | 15/19 [00:09<00:02, 1.66it/s] 84%|████████▍ | 16/19 [00:09<00:01, 1.67it/s] 89%|████████▉ | 17/19 [00:10<00:01, 1.67it/s] 95%|█████████▍| 18/19 [00:10<00:00, 1.69it/s] 100%|██████████| 19/19 [00:11<00:00, 1.68it/s] 100%|██████████| 19/19 [00:11<00:00, 1.65it/s] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0: 640x480 (no detections), 7.7ms Speed: 2.3ms preprocess, 7.7ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 3 with 2nd settings. Uploading outputs... Finished.
prompt
Specify things to see in the output
cute cartoon character big-eyed baby elephant in the suit, toys are scattered nearby, strong contrast, <lora:tweak-detail-xl:2>, no humans
negative_prompt
Specify things to not see in the output
(humans), (human), (people), (human face), (human skin), (human lips), (human nose), (human eyes), doll, toy, toying, plastic, sketch, painting, anime, animation, manga, hentai, comic, cartoon, book cover, 8bit, pixel art, pixelart, b&w, blac and white, text, monochrome, watermark, canvas frame, blurry, ugly, closed eyes, elongated body, elongated neck, out of frame, disfigured, deformed, extra fingers, fused fingers, stump fingers, extra arms, extra hands, extra feets, extra legs, mutated hands, poorly drawn hands, extra arms, extra legs, mutated hands, mutated fingers, mutation, mutated, crossed eyes, (poorly drawn face:1.5), (worst quality, low quality, normal quality:1.4), badhandv4, bad-hands-5, negative_hand-neg
num_outputs
Number of output images
3
width
Output image width
768
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
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
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.
3648863709
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
40
cfg_scale
Scale for classifier-free guidance
5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
None
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
tweak-detail-xl.safetensors
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)
badhandv4.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-hands-5.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
negative_hand-neg.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/55bcf0bcc51547358ed0b72924b7108e/00000-3648863709.webp
https://files.tungsten.run/uploads/aadc2026007346f5bc9c70de019ebbb9/00001-3648863710.webp
https://files.tungsten.run/uploads/f376b8d98c334afc9e1301a91494a629/00002-3648863711.webp
Finished in 90.8 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: cute cartoon character big-eyed baby elephant in the suit, toys are scattered nearby, strong contrast, <lora:tweak-detail-xl:2>, no humans Full negative prompt: (humans), (human), (people), (human face), (human skin), (human lips), (human nose), (human eyes), doll, toy, toying, plastic, sketch, painting, anime, animation, manga, hentai, comic, cartoon, book cover, 8bit, pixel art, pixelart, b&w, blac and white, text, monochrome, watermark, canvas frame, blurry, ugly, closed eyes, elongated body, elongated neck, out of frame, disfigured, deformed, extra fingers, fused fingers, stump fingers, extra arms, extra hands, extra feets, extra legs, mutated hands, poorly drawn hands, extra arms, extra legs, mutated hands, mutated fingers, mutation, mutated, crossed eyes, (poorly drawn face:1.5), (worst quality, low quality, normal quality:1.4), badhandv4, bad-hands-5, negative_hand-neg 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:02<01:33, 2.40s/it] 5%|▌ | 2/40 [00:03<00:57, 1.50s/it] 8%|▊ | 3/40 [00:04<00:44, 1.21s/it] 10%|█ | 4/40 [00:05<00:38, 1.08s/it] 12%|█▎ | 5/40 [00:05<00:35, 1.01s/it] 15%|█▌ | 6/40 [00:06<00:32, 1.03it/s] 18%|█▊ | 7/40 [00:07<00:30, 1.07it/s] 20%|██ | 8/40 [00:08<00:29, 1.09it/s] 22%|██▎ | 9/40 [00:09<00:28, 1.10it/s] 25%|██▌ | 10/40 [00:10<00:27, 1.11it/s] 28%|██▊ | 11/40 [00:11<00:26, 1.11it/s] 30%|███ | 12/40 [00:12<00:25, 1.12it/s] 32%|███▎ | 13/40 [00:12<00:24, 1.12it/s] 35%|███▌ | 14/40 [00:13<00:23, 1.12it/s] 38%|███▊ | 15/40 [00:14<00:22, 1.12it/s] 40%|████ | 16/40 [00:15<00:21, 1.12it/s] 42%|████▎ | 17/40 [00:16<00:20, 1.12it/s] 45%|████▌ | 18/40 [00:17<00:19, 1.12it/s] 48%|████▊ | 19/40 [00:18<00:18, 1.12it/s] 50%|█████ | 20/40 [00:19<00:17, 1.11it/s] 52%|█████▎ | 21/40 [00:20<00:17, 1.11it/s] 55%|█████▌ | 22/40 [00:21<00:16, 1.11it/s] 57%|█████▊ | 23/40 [00:21<00:15, 1.11it/s] 60%|██████ | 24/40 [00:22<00:14, 1.11it/s] 62%|██████▎ | 25/40 [00:23<00:13, 1.11it/s] 65%|██████▌ | 26/40 [00:24<00:12, 1.11it/s] 68%|██████▊ | 27/40 [00:25<00:11, 1.11it/s] 70%|███████ | 28/40 [00:26<00:10, 1.10it/s] 72%|███████▎ | 29/40 [00:27<00:09, 1.10it/s] 75%|███████▌ | 30/40 [00:28<00:09, 1.10it/s] 78%|███████▊ | 31/40 [00:29<00:08, 1.10it/s] 80%|████████ | 32/40 [00:30<00:07, 1.10it/s] 82%|████████▎ | 33/40 [00:31<00:06, 1.10it/s] 85%|████████▌ | 34/40 [00:31<00:05, 1.10it/s] 88%|████████▊ | 35/40 [00:32<00:04, 1.10it/s] 90%|█████████ | 36/40 [00:33<00:03, 1.10it/s] 92%|█████████▎| 37/40 [00:34<00:02, 1.10it/s] 95%|█████████▌| 38/40 [00:35<00:01, 1.10it/s] 98%|█████████▊| 39/40 [00:36<00:00, 1.10it/s] 100%|██████████| 40/40 [00:37<00:00, 1.11it/s] 100%|██████████| 40/40 [00:37<00:00, 1.07it/s] Decoding latents in cuda:0... done in 1.73s Move latents to cpu... done in 0.02s 0: 640x480 (no detections), 158.3ms Speed: 2.5ms preprocess, 158.3ms inference, 9.2ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x480 2 hands, 99.9ms Speed: 2.4ms preprocess, 99.9ms inference, 21.9ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:13, 1.33it/s] 11%|█ | 2/19 [00:01<00:11, 1.53it/s] 16%|█▌ | 3/19 [00:01<00:10, 1.59it/s] 21%|██ | 4/19 [00:02<00:09, 1.62it/s] 26%|██▋ | 5/19 [00:03<00:08, 1.64it/s] 32%|███▏ | 6/19 [00:03<00:08, 1.59it/s] 37%|███▋ | 7/19 [00:04<00:07, 1.63it/s] 42%|████▏ | 8/19 [00:04<00:06, 1.65it/s] 47%|████▋ | 9/19 [00:05<00:06, 1.66it/s] 53%|█████▎ | 10/19 [00:06<00:05, 1.66it/s] 58%|█████▊ | 11/19 [00:06<00:04, 1.65it/s] 63%|██████▎ | 12/19 [00:07<00:04, 1.66it/s] 68%|██████▊ | 13/19 [00:07<00:03, 1.66it/s] 74%|███████▎ | 14/19 [00:08<00:02, 1.67it/s] 79%|███████▉ | 15/19 [00:09<00:02, 1.68it/s] 84%|████████▍ | 16/19 [00:09<00:01, 1.68it/s] 89%|████████▉ | 17/19 [00:10<00:01, 1.56it/s] 95%|█████████▍| 18/19 [00:11<00:00, 1.48it/s] 100%|██████████| 19/19 [00:12<00:00, 1.40it/s] 100%|██████████| 19/19 [00:12<00:00, 1.58it/s] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:12, 1.49it/s] 11%|█ | 2/19 [00:01<00:11, 1.52it/s] 16%|█▌ | 3/19 [00:01<00:10, 1.56it/s] 21%|██ | 4/19 [00:02<00:09, 1.57it/s] 26%|██▋ | 5/19 [00:03<00:08, 1.58it/s] 32%|███▏ | 6/19 [00:03<00:08, 1.60it/s] 37%|███▋ | 7/19 [00:04<00:07, 1.62it/s] 42%|████▏ | 8/19 [00:05<00:06, 1.63it/s] 47%|████▋ | 9/19 [00:05<00:06, 1.61it/s] 53%|█████▎ | 10/19 [00:06<00:05, 1.62it/s] 58%|█████▊ | 11/19 [00:06<00:04, 1.63it/s] 63%|██████▎ | 12/19 [00:07<00:04, 1.64it/s] 68%|██████▊ | 13/19 [00:08<00:03, 1.65it/s] 74%|███████▎ | 14/19 [00:08<00:03, 1.66it/s] 79%|███████▉ | 15/19 [00:09<00:02, 1.66it/s] 84%|████████▍ | 16/19 [00:09<00:01, 1.65it/s] 89%|████████▉ | 17/19 [00:10<00:01, 1.65it/s] 95%|█████████▍| 18/19 [00:11<00:00, 1.66it/s] 100%|██████████| 19/19 [00:11<00:00, 1.67it/s] 100%|██████████| 19/19 [00:11<00:00, 1.63it/s] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0: 640x480 (no detections), 7.9ms Speed: 2.6ms preprocess, 7.9ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x480 (no detections), 7.9ms Speed: 2.3ms preprocess, 7.9ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x480 1 face, 8.2ms Speed: 2.3ms preprocess, 8.2ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:10, 1.66it/s] 11%|█ | 2/19 [00:01<00:10, 1.67it/s] 16%|█▌ | 3/19 [00:01<00:09, 1.65it/s] 21%|██ | 4/19 [00:02<00:09, 1.66it/s] 26%|██▋ | 5/19 [00:03<00:08, 1.67it/s] 32%|███▏ | 6/19 [00:03<00:07, 1.65it/s] 37%|███▋ | 7/19 [00:04<00:07, 1.62it/s] 42%|████▏ | 8/19 [00:04<00:06, 1.61it/s] 47%|████▋ | 9/19 [00:05<00:06, 1.59it/s] 53%|█████▎ | 10/19 [00:06<00:05, 1.60it/s] 58%|█████▊ | 11/19 [00:06<00:04, 1.63it/s] 63%|██████▎ | 12/19 [00:07<00:04, 1.64it/s] 68%|██████▊ | 13/19 [00:07<00:03, 1.66it/s] 74%|███████▎ | 14/19 [00:08<00:03, 1.66it/s] 79%|███████▉ | 15/19 [00:09<00:02, 1.66it/s] 84%|████████▍ | 16/19 [00:09<00:01, 1.67it/s] 89%|████████▉ | 17/19 [00:10<00:01, 1.67it/s] 95%|█████████▍| 18/19 [00:10<00:00, 1.69it/s] 100%|██████████| 19/19 [00:11<00:00, 1.68it/s] 100%|██████████| 19/19 [00:11<00:00, 1.65it/s] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0: 640x480 (no detections), 7.7ms Speed: 2.3ms preprocess, 7.7ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 3 with 2nd settings. Uploading outputs... Finished.