Healing Mage 2
Input
prompt
Specify things to see in the output
(ultra realistic:1.5), (ultra detailed:1.5), (masterpiece:1.5), (real life:1.5), (best quality:1.5), (hyper-realistic: 1.3), Realistic Nordic cute girl cleric ,In a fantasy European world, a healing mage, adorned in a fusion of traditional Japanese and gothic punk fashion emerges, Their attire blends the elegance of kimono elements with edgy leather accessories, rich colors and intricate patterns of the kimono are juxtaposed with punk-inspired leather corsets and spiked accessories, mage's staff, adorned with mystical charms, channels the balance of tradition and rebellion, With a serene yet powerful presence, this enchanting figure embodies the harmony between mystical healing arts, photorealistic, 4k resolution, detailed full-body concept, sleek digital concept art, beautiful full-body concept art, goth person, magical, heavy, <lora:s_ZolVIsxZtZXPMkn7U5N:1>, <lora:XDetail_light:1>, <lora:EnvyMagicalXL01:.05>
negative_prompt
Specify things to not see in the output
ears, horns,worst quality:1.5), (low quality:1.5), (normal quality:1.5), lowres, bad anatomy, bad hands, multiple eyebrow, (cropped), extra limb, missing limbs, deformed hands, long neck, long body, (bad hands), signature, username, artist name, conjoined fingers, deformed fingers, ugly eyes, imperfect eyes, skewed eyes, unnatural face, unnatural body, error, painting by bad-artist, watermark, logo, signature, words, letters
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1152
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
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
-1
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++ 3M SDE Karras
samping_steps
Number of denoising steps
25
cfg_scale
Scale for classifier-free guidance
4
clip_skip
The number of last layers of CLIP network to skip
2
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/ff406f50cbe44ab893fbf1cda4b11ff3/00000-3113749674.png
https://files.tungsten.run/uploads/63a5ae391add4e69a9f32ca3b92b2b18/00001-3113749675.png
https://files.tungsten.run/uploads/d33409ab0b6c477095fab2fe1343318f/00002-3113749676.png
Finished in 152.7 seconds
Setting up the model... Preparing inputs... Processing... Using seed 3113749674 Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: (ultra realistic:1.5), (ultra detailed:1.5), (masterpiece:1.5), (real life:1.5), (best quality:1.5), (hyper-realistic: 1.3), Realistic Nordic cute girl cleric ,In a fantasy European world, a healing mage, adorned in a fusion of traditional Japanese and gothic punk fashion emerges, Their attire blends the elegance of kimono elements with edgy leather accessories, rich colors and intricate patterns of the kimono are juxtaposed with punk-inspired leather corsets and spiked accessories, mage's staff, adorned with mystical charms, channels the balance of tradition and rebellion, With a serene yet powerful presence, this enchanting figure embodies the harmony between mystical healing arts, photorealistic, 4k resolution, detailed full-body concept, sleek digital concept art, beautiful full-body concept art, goth person, magical, heavy, <lora:s_ZolVIsxZtZXPMkn7U5N:1>, <lora:XDetail_light:1>, <lora:EnvyMagicalXL01:.05> Full negative prompt: ears, horns,worst quality:1.5), (low quality:1.5), (normal quality:1.5), lowres, bad anatomy, bad hands, multiple eyebrow, (cropped), extra limb, missing limbs, deformed hands, long neck, long body, (bad hands), signature, username, artist name, conjoined fingers, deformed fingers, ugly eyes, imperfect eyes, skewed eyes, unnatural face, unnatural body, error, painting by bad-artist, watermark, logo, signature, words, letters 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:03<01:24, 3.53s/it] 8%|▊ | 2/25 [00:05<01:03, 2.77s/it] 12%|█▏ | 3/25 [00:08<00:57, 2.62s/it] 16%|█▌ | 4/25 [00:10<00:52, 2.48s/it] 20%|██ | 5/25 [00:12<00:47, 2.39s/it] 24%|██▍ | 6/25 [00:14<00:44, 2.35s/it] 28%|██▊ | 7/25 [00:17<00:42, 2.36s/it] 32%|███▏ | 8/25 [00:19<00:39, 2.32s/it] 36%|███▌ | 9/25 [00:21<00:35, 2.24s/it] 40%|████ | 10/25 [00:23<00:33, 2.22s/it] 44%|████▍ | 11/25 [00:26<00:31, 2.22s/it] 48%|████▊ | 12/25 [00:28<00:29, 2.28s/it] 52%|█████▏ | 13/25 [00:30<00:27, 2.28s/it] 56%|█████▌ | 14/25 [00:33<00:25, 2.28s/it] 60%|██████ | 15/25 [00:35<00:22, 2.26s/it] 64%|██████▍ | 16/25 [00:37<00:19, 2.20s/it] 68%|██████▊ | 17/25 [00:39<00:17, 2.19s/it] 72%|███████▏ | 18/25 [00:41<00:15, 2.19s/it] 76%|███████▌ | 19/25 [00:43<00:13, 2.22s/it] 80%|████████ | 20/25 [00:45<00:10, 2.15s/it] 84%|████████▍ | 21/25 [00:48<00:08, 2.19s/it] 88%|████████▊ | 22/25 [00:50<00:06, 2.14s/it] 92%|█████████▏| 23/25 [00:52<00:04, 2.10s/it] 96%|█████████▌| 24/25 [00:53<00:01, 1.88s/it] 100%|██████████| 25/25 [00:54<00:00, 1.62s/it] 100%|██████████| 25/25 [00:54<00:00, 2.19s/it] Decoding latents in cuda:0... done in 2.02s Move latents to cpu... done in 0.03s 0: 640x448 1 face, 169.3ms Speed: 3.0ms preprocess, 169.3ms inference, 23.4ms postprocess per image at shape (1, 3, 640, 448) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:01<00:16, 1.24s/it] 14%|█▍ | 2/14 [00:02<00:13, 1.12s/it] 21%|██▏ | 3/14 [00:03<00:11, 1.06s/it] 29%|██▊ | 4/14 [00:04<00:10, 1.06s/it] 36%|███▌ | 5/14 [00:05<00:09, 1.03s/it] 43%|████▎ | 6/14 [00:06<00:08, 1.02s/it] 50%|█████ | 7/14 [00:07<00:07, 1.01s/it] 57%|█████▋ | 8/14 [00:08<00:06, 1.01s/it] 64%|██████▍ | 9/14 [00:09<00:04, 1.02it/s] 71%|███████▏ | 10/14 [00:10<00:03, 1.00it/s] 79%|███████▊ | 11/14 [00:11<00:02, 1.03it/s] 86%|████████▌ | 12/14 [00:12<00:01, 1.04it/s] 93%|█████████▎| 13/14 [00:12<00:00, 1.11it/s] 100%|██████████| 14/14 [00:13<00:00, 1.24it/s] 100%|██████████| 14/14 [00:13<00:00, 1.04it/s] Decoding latents in cuda:0... done in 0.66s Move latents to cpu... done in 0.0s 0: 640x448 (no detections), 115.7ms Speed: 2.4ms preprocess, 115.7ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 448) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x448 1 face, 10.1ms Speed: 2.3ms preprocess, 10.1ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 448) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:01<00:14, 1.15s/it] 14%|█▍ | 2/14 [00:02<00:13, 1.10s/it] 21%|██▏ | 3/14 [00:03<00:11, 1.05s/it] 29%|██▊ | 4/14 [00:04<00:10, 1.04s/it] 36%|███▌ | 5/14 [00:05<00:09, 1.01s/it] 43%|████▎ | 6/14 [00:06<00:08, 1.01s/it] 50%|█████ | 7/14 [00:07<00:07, 1.01s/it] 57%|█████▋ | 8/14 [00:08<00:06, 1.01s/it] 64%|██████▍ | 9/14 [00:09<00:04, 1.01it/s] 71%|███████▏ | 10/14 [00:10<00:04, 1.01s/it] 79%|███████▊ | 11/14 [00:11<00:03, 1.02s/it] 86%|████████▌ | 12/14 [00:12<00:02, 1.00s/it] 93%|█████████▎| 13/14 [00:12<00:00, 1.08it/s] 100%|██████████| 14/14 [00:13<00:00, 1.20it/s] 100%|██████████| 14/14 [00:13<00:00, 1.03it/s] Decoding latents in cuda:0... done in 0.66s Move latents to cpu... done in 0.0s 0: 640x448 (no detections), 7.7ms Speed: 2.6ms preprocess, 7.7ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 448) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x448 1 face, 9.3ms Speed: 2.4ms preprocess, 9.3ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 448) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:01<00:14, 1.09s/it] 14%|█▍ | 2/14 [00:02<00:12, 1.06s/it] 21%|██▏ | 3/14 [00:03<00:11, 1.04s/it] 29%|██▊ | 4/14 [00:04<00:10, 1.04s/it] 36%|███▌ | 5/14 [00:05<00:09, 1.02s/it] 43%|████▎ | 6/14 [00:06<00:08, 1.00s/it] 50%|█████ | 7/14 [00:07<00:06, 1.01it/s] 57%|█████▋ | 8/14 [00:08<00:05, 1.00it/s] 64%|██████▍ | 9/14 [00:09<00:04, 1.02it/s] 71%|███████▏ | 10/14 [00:10<00:03, 1.00it/s] 79%|███████▊ | 11/14 [00:11<00:02, 1.01it/s] 86%|████████▌ | 12/14 [00:11<00:01, 1.04it/s] 93%|█████████▎| 13/14 [00:12<00:00, 1.12it/s] 100%|██████████| 14/14 [00:13<00:00, 1.23it/s] 100%|██████████| 14/14 [00:13<00:00, 1.05it/s] Decoding latents in cuda:0... done in 0.65s Move latents to cpu... done in 0.0s 0: 640x448 2 hands, 8.3ms Speed: 2.3ms preprocess, 8.3ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 448) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:01<00:14, 1.08s/it] 14%|█▍ | 2/14 [00:02<00:12, 1.05s/it] 21%|██▏ | 3/14 [00:03<00:11, 1.03s/it] 29%|██▊ | 4/14 [00:04<00:10, 1.04s/it] 36%|███▌ | 5/14 [00:05<00:09, 1.01s/it] 43%|████▎ | 6/14 [00:06<00:08, 1.01s/it] 50%|█████ | 7/14 [00:07<00:06, 1.00it/s] 57%|█████▋ | 8/14 [00:08<00:06, 1.01s/it] 64%|██████▍ | 9/14 [00:09<00:04, 1.01it/s] 71%|███████▏ | 10/14 [00:10<00:04, 1.00s/it] 79%|███████▊ | 11/14 [00:11<00:02, 1.02it/s] 86%|████████▌ | 12/14 [00:11<00:01, 1.03it/s] 93%|█████████▎| 13/14 [00:12<00:00, 1.10it/s] 100%|██████████| 14/14 [00:13<00:00, 1.20it/s] 100%|██████████| 14/14 [00:13<00:00, 1.04it/s] Decoding latents in cuda:0... done in 0.65s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:01<00:14, 1.08s/it] 14%|█▍ | 2/14 [00:02<00:12, 1.06s/it] 21%|██▏ | 3/14 [00:03<00:11, 1.03s/it] 29%|██▊ | 4/14 [00:04<00:10, 1.03s/it] 36%|███▌ | 5/14 [00:05<00:09, 1.01s/it] 43%|████▎ | 6/14 [00:06<00:08, 1.01s/it] 50%|█████ | 7/14 [00:07<00:07, 1.01s/it] 57%|█████▋ | 8/14 [00:08<00:06, 1.01s/it] 64%|██████▍ | 9/14 [00:09<00:04, 1.02it/s] 71%|███████▏ | 10/14 [00:10<00:04, 1.00s/it] 79%|███████▊ | 11/14 [00:11<00:02, 1.02it/s] 86%|████████▌ | 12/14 [00:11<00:01, 1.03it/s] 93%|█████████▎| 13/14 [00:12<00:00, 1.11it/s] 100%|██████████| 14/14 [00:13<00:00, 1.21it/s] 100%|██████████| 14/14 [00:13<00:00, 1.05it/s] Decoding latents in cuda:0... done in 0.64s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
(ultra realistic:1.5), (ultra detailed:1.5), (masterpiece:1.5), (real life:1.5), (best quality:1.5), (hyper-realistic: 1.3), Realistic Nordic cute girl cleric ,In a fantasy European world, a healing mage, adorned in a fusion of traditional Japanese and gothic punk fashion emerges, Their attire blends the elegance of kimono elements with edgy leather accessories, rich colors and intricate patterns of the kimono are juxtaposed with punk-inspired leather corsets and spiked accessories, mage's staff, adorned with mystical charms, channels the balance of tradition and rebellion, With a serene yet powerful presence, this enchanting figure embodies the harmony between mystical healing arts, photorealistic, 4k resolution, detailed full-body concept, sleek digital concept art, beautiful full-body concept art, goth person, magical, heavy, <lora:s_ZolVIsxZtZXPMkn7U5N:1>, <lora:XDetail_light:1>, <lora:EnvyMagicalXL01:.05>
negative_prompt
Specify things to not see in the output
ears, horns,worst quality:1.5), (low quality:1.5), (normal quality:1.5), lowres, bad anatomy, bad hands, multiple eyebrow, (cropped), extra limb, missing limbs, deformed hands, long neck, long body, (bad hands), signature, username, artist name, conjoined fingers, deformed fingers, ugly eyes, imperfect eyes, skewed eyes, unnatural face, unnatural body, error, painting by bad-artist, watermark, logo, signature, words, letters
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1152
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
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
-1
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++ 3M SDE Karras
samping_steps
Number of denoising steps
25
cfg_scale
Scale for classifier-free guidance
4
clip_skip
The number of last layers of CLIP network to skip
2
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/ff406f50cbe44ab893fbf1cda4b11ff3/00000-3113749674.png
https://files.tungsten.run/uploads/63a5ae391add4e69a9f32ca3b92b2b18/00001-3113749675.png
https://files.tungsten.run/uploads/d33409ab0b6c477095fab2fe1343318f/00002-3113749676.png
Finished in 152.7 seconds
Setting up the model... Preparing inputs... Processing... Using seed 3113749674 Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: (ultra realistic:1.5), (ultra detailed:1.5), (masterpiece:1.5), (real life:1.5), (best quality:1.5), (hyper-realistic: 1.3), Realistic Nordic cute girl cleric ,In a fantasy European world, a healing mage, adorned in a fusion of traditional Japanese and gothic punk fashion emerges, Their attire blends the elegance of kimono elements with edgy leather accessories, rich colors and intricate patterns of the kimono are juxtaposed with punk-inspired leather corsets and spiked accessories, mage's staff, adorned with mystical charms, channels the balance of tradition and rebellion, With a serene yet powerful presence, this enchanting figure embodies the harmony between mystical healing arts, photorealistic, 4k resolution, detailed full-body concept, sleek digital concept art, beautiful full-body concept art, goth person, magical, heavy, <lora:s_ZolVIsxZtZXPMkn7U5N:1>, <lora:XDetail_light:1>, <lora:EnvyMagicalXL01:.05> Full negative prompt: ears, horns,worst quality:1.5), (low quality:1.5), (normal quality:1.5), lowres, bad anatomy, bad hands, multiple eyebrow, (cropped), extra limb, missing limbs, deformed hands, long neck, long body, (bad hands), signature, username, artist name, conjoined fingers, deformed fingers, ugly eyes, imperfect eyes, skewed eyes, unnatural face, unnatural body, error, painting by bad-artist, watermark, logo, signature, words, letters 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:03<01:24, 3.53s/it] 8%|▊ | 2/25 [00:05<01:03, 2.77s/it] 12%|█▏ | 3/25 [00:08<00:57, 2.62s/it] 16%|█▌ | 4/25 [00:10<00:52, 2.48s/it] 20%|██ | 5/25 [00:12<00:47, 2.39s/it] 24%|██▍ | 6/25 [00:14<00:44, 2.35s/it] 28%|██▊ | 7/25 [00:17<00:42, 2.36s/it] 32%|███▏ | 8/25 [00:19<00:39, 2.32s/it] 36%|███▌ | 9/25 [00:21<00:35, 2.24s/it] 40%|████ | 10/25 [00:23<00:33, 2.22s/it] 44%|████▍ | 11/25 [00:26<00:31, 2.22s/it] 48%|████▊ | 12/25 [00:28<00:29, 2.28s/it] 52%|█████▏ | 13/25 [00:30<00:27, 2.28s/it] 56%|█████▌ | 14/25 [00:33<00:25, 2.28s/it] 60%|██████ | 15/25 [00:35<00:22, 2.26s/it] 64%|██████▍ | 16/25 [00:37<00:19, 2.20s/it] 68%|██████▊ | 17/25 [00:39<00:17, 2.19s/it] 72%|███████▏ | 18/25 [00:41<00:15, 2.19s/it] 76%|███████▌ | 19/25 [00:43<00:13, 2.22s/it] 80%|████████ | 20/25 [00:45<00:10, 2.15s/it] 84%|████████▍ | 21/25 [00:48<00:08, 2.19s/it] 88%|████████▊ | 22/25 [00:50<00:06, 2.14s/it] 92%|█████████▏| 23/25 [00:52<00:04, 2.10s/it] 96%|█████████▌| 24/25 [00:53<00:01, 1.88s/it] 100%|██████████| 25/25 [00:54<00:00, 1.62s/it] 100%|██████████| 25/25 [00:54<00:00, 2.19s/it] Decoding latents in cuda:0... done in 2.02s Move latents to cpu... done in 0.03s 0: 640x448 1 face, 169.3ms Speed: 3.0ms preprocess, 169.3ms inference, 23.4ms postprocess per image at shape (1, 3, 640, 448) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:01<00:16, 1.24s/it] 14%|█▍ | 2/14 [00:02<00:13, 1.12s/it] 21%|██▏ | 3/14 [00:03<00:11, 1.06s/it] 29%|██▊ | 4/14 [00:04<00:10, 1.06s/it] 36%|███▌ | 5/14 [00:05<00:09, 1.03s/it] 43%|████▎ | 6/14 [00:06<00:08, 1.02s/it] 50%|█████ | 7/14 [00:07<00:07, 1.01s/it] 57%|█████▋ | 8/14 [00:08<00:06, 1.01s/it] 64%|██████▍ | 9/14 [00:09<00:04, 1.02it/s] 71%|███████▏ | 10/14 [00:10<00:03, 1.00it/s] 79%|███████▊ | 11/14 [00:11<00:02, 1.03it/s] 86%|████████▌ | 12/14 [00:12<00:01, 1.04it/s] 93%|█████████▎| 13/14 [00:12<00:00, 1.11it/s] 100%|██████████| 14/14 [00:13<00:00, 1.24it/s] 100%|██████████| 14/14 [00:13<00:00, 1.04it/s] Decoding latents in cuda:0... done in 0.66s Move latents to cpu... done in 0.0s 0: 640x448 (no detections), 115.7ms Speed: 2.4ms preprocess, 115.7ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 448) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x448 1 face, 10.1ms Speed: 2.3ms preprocess, 10.1ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 448) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:01<00:14, 1.15s/it] 14%|█▍ | 2/14 [00:02<00:13, 1.10s/it] 21%|██▏ | 3/14 [00:03<00:11, 1.05s/it] 29%|██▊ | 4/14 [00:04<00:10, 1.04s/it] 36%|███▌ | 5/14 [00:05<00:09, 1.01s/it] 43%|████▎ | 6/14 [00:06<00:08, 1.01s/it] 50%|█████ | 7/14 [00:07<00:07, 1.01s/it] 57%|█████▋ | 8/14 [00:08<00:06, 1.01s/it] 64%|██████▍ | 9/14 [00:09<00:04, 1.01it/s] 71%|███████▏ | 10/14 [00:10<00:04, 1.01s/it] 79%|███████▊ | 11/14 [00:11<00:03, 1.02s/it] 86%|████████▌ | 12/14 [00:12<00:02, 1.00s/it] 93%|█████████▎| 13/14 [00:12<00:00, 1.08it/s] 100%|██████████| 14/14 [00:13<00:00, 1.20it/s] 100%|██████████| 14/14 [00:13<00:00, 1.03it/s] Decoding latents in cuda:0... done in 0.66s Move latents to cpu... done in 0.0s 0: 640x448 (no detections), 7.7ms Speed: 2.6ms preprocess, 7.7ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 448) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x448 1 face, 9.3ms Speed: 2.4ms preprocess, 9.3ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 448) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:01<00:14, 1.09s/it] 14%|█▍ | 2/14 [00:02<00:12, 1.06s/it] 21%|██▏ | 3/14 [00:03<00:11, 1.04s/it] 29%|██▊ | 4/14 [00:04<00:10, 1.04s/it] 36%|███▌ | 5/14 [00:05<00:09, 1.02s/it] 43%|████▎ | 6/14 [00:06<00:08, 1.00s/it] 50%|█████ | 7/14 [00:07<00:06, 1.01it/s] 57%|█████▋ | 8/14 [00:08<00:05, 1.00it/s] 64%|██████▍ | 9/14 [00:09<00:04, 1.02it/s] 71%|███████▏ | 10/14 [00:10<00:03, 1.00it/s] 79%|███████▊ | 11/14 [00:11<00:02, 1.01it/s] 86%|████████▌ | 12/14 [00:11<00:01, 1.04it/s] 93%|█████████▎| 13/14 [00:12<00:00, 1.12it/s] 100%|██████████| 14/14 [00:13<00:00, 1.23it/s] 100%|██████████| 14/14 [00:13<00:00, 1.05it/s] Decoding latents in cuda:0... done in 0.65s Move latents to cpu... done in 0.0s 0: 640x448 2 hands, 8.3ms Speed: 2.3ms preprocess, 8.3ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 448) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:01<00:14, 1.08s/it] 14%|█▍ | 2/14 [00:02<00:12, 1.05s/it] 21%|██▏ | 3/14 [00:03<00:11, 1.03s/it] 29%|██▊ | 4/14 [00:04<00:10, 1.04s/it] 36%|███▌ | 5/14 [00:05<00:09, 1.01s/it] 43%|████▎ | 6/14 [00:06<00:08, 1.01s/it] 50%|█████ | 7/14 [00:07<00:06, 1.00it/s] 57%|█████▋ | 8/14 [00:08<00:06, 1.01s/it] 64%|██████▍ | 9/14 [00:09<00:04, 1.01it/s] 71%|███████▏ | 10/14 [00:10<00:04, 1.00s/it] 79%|███████▊ | 11/14 [00:11<00:02, 1.02it/s] 86%|████████▌ | 12/14 [00:11<00:01, 1.03it/s] 93%|█████████▎| 13/14 [00:12<00:00, 1.10it/s] 100%|██████████| 14/14 [00:13<00:00, 1.20it/s] 100%|██████████| 14/14 [00:13<00:00, 1.04it/s] Decoding latents in cuda:0... done in 0.65s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:01<00:14, 1.08s/it] 14%|█▍ | 2/14 [00:02<00:12, 1.06s/it] 21%|██▏ | 3/14 [00:03<00:11, 1.03s/it] 29%|██▊ | 4/14 [00:04<00:10, 1.03s/it] 36%|███▌ | 5/14 [00:05<00:09, 1.01s/it] 43%|████▎ | 6/14 [00:06<00:08, 1.01s/it] 50%|█████ | 7/14 [00:07<00:07, 1.01s/it] 57%|█████▋ | 8/14 [00:08<00:06, 1.01s/it] 64%|██████▍ | 9/14 [00:09<00:04, 1.02it/s] 71%|███████▏ | 10/14 [00:10<00:04, 1.00s/it] 79%|███████▊ | 11/14 [00:11<00:02, 1.02it/s] 86%|████████▌ | 12/14 [00:11<00:01, 1.03it/s] 93%|█████████▎| 13/14 [00:12<00:00, 1.11it/s] 100%|██████████| 14/14 [00:13<00:00, 1.21it/s] 100%|██████████| 14/14 [00:13<00:00, 1.05it/s] Decoding latents in cuda:0... done in 0.64s Move latents to cpu... done in 0.0s Uploading outputs... Finished.