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Ghollum (L.O.T.R.) with Arthemy Real
arthemy-real:v1.0
evevalentine2017
evevalentine2017
·
Jan 9
390
Input
prompt
Specify things to see in the output
<lora:smeagol:0.9>, Ghollum from the Lord of the Rings, smeagol, a man with a weird face and a weird haircut, squatting, (white skin, big eyes), blue eyes, cavern background, loincloth, detailed face, looking at viewer, (upper body:1.2), <lora:weight_slider_v2:-2.5>
negative_prompt
Specify things to not see in the output
(low quality, worst quality:1.4), (bad anatomy), (inaccurate limb:1.2), bad composition, inaccurate eyes, extra digit, fewer digits, (extra arms:1.2), lowres, (bad anatomy:1.1025), (bad hands:1.1025), text, missing finger, extra digits, fewer digits, blurry, (mutated hands and fingers:1.1025), (poorly drawn face:1.05), (mutation:1.1025), (deformed face:1.1025), (ugly:1.05), (bad proportions:1.1025), (extra limbs:1.1025), extra face, (double head:1.05), (extra head:1.05), (extra feet:1.1025), monster, logo, cropped, worst quality, low quality, normal quality, jpeg, humpbacked, long body, long neck, (jpeg artifacts:1.1025),
num_outputs
Number of output images
4
width
Output image width
768
height
Output image height
768
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
saturation
Adjust saturation
1
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
902302415
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 SDE Karras
samping_steps
Number of denoising steps
20
cfg_scale
Scale for classifier-free guidance
8.5
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>
smeagol.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
weight_slider_v2.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/05ad5d0bacc24e178568e048563bb1da/00000-902302415.webp
https://files.tungsten.run/uploads/4f8ffd1aa381416fb7cebe7c2f1d4005/00001-902302416.webp
https://files.tungsten.run/uploads/abdd3c3f4a33424b894f502aa468af5a/00002-902302417.webp
https://files.tungsten.run/uploads/0d1e1e81f2c94f179f26e6e01864ed34/00003-902302418.webp
Finished in 89.3 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: <lora:smeagol:0.9>, Ghollum from the Lord of the Rings, smeagol, a man with a weird face and a weird haircut, squatting, (white skin, big eyes), blue eyes, cavern background, loincloth, detailed face, looking at viewer, (upper body:1.2), <lora:weight_slider_v2:-2.5>, <lora:add_saturation:1.0> Full negative prompt: (low quality, worst quality:1.4), (bad anatomy), (inaccurate limb:1.2), bad composition, inaccurate eyes, extra digit, fewer digits, (extra arms:1.2), lowres, (bad anatomy:1.1025), (bad hands:1.1025), text, missing finger, extra digits, fewer digits, blurry, (mutated hands and fingers:1.1025), (poorly drawn face:1.05), (mutation:1.1025), (deformed face:1.1025), (ugly:1.05), (bad proportions:1.1025), (extra limbs:1.1025), extra face, (double head:1.05), (extra head:1.05), (extra feet:1.1025), monster, logo, cropped, worst quality, low quality, normal quality, jpeg, humpbacked, long body, long neck, (jpeg artifacts:1.1025), 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:01<00:36, 1.93s/it] 10%|█ | 2/20 [00:03<00:33, 1.89s/it] 15%|█▌ | 3/20 [00:05<00:31, 1.85s/it] 20%|██ | 4/20 [00:07<00:29, 1.86s/it] 25%|██▌ | 5/20 [00:09<00:27, 1.82s/it] 30%|███ | 6/20 [00:11<00:25, 1.83s/it] 35%|███▌ | 7/20 [00:12<00:23, 1.81s/it] 40%|████ | 8/20 [00:14<00:20, 1.74s/it] 45%|████▌ | 9/20 [00:16<00:18, 1.73s/it] 50%|█████ | 10/20 [00:17<00:17, 1.76s/it] 55%|█████▌ | 11/20 [00:19<00:15, 1.73s/it] 60%|██████ | 12/20 [00:21<00:13, 1.70s/it] 65%|██████▌ | 13/20 [00:22<00:12, 1.72s/it] 70%|███████ | 14/20 [00:24<00:10, 1.67s/it] 75%|███████▌ | 15/20 [00:26<00:08, 1.66s/it] 80%|████████ | 16/20 [00:27<00:06, 1.60s/it] 85%|████████▌ | 17/20 [00:29<00:04, 1.59s/it] 90%|█████████ | 18/20 [00:30<00:03, 1.57s/it] 95%|█████████▌| 19/20 [00:31<00:01, 1.38s/it] 100%|██████████| 20/20 [00:32<00:00, 1.16s/it] 100%|██████████| 20/20 [00:32<00:00, 1.62s/it] Decoding latents in cuda:0... done in 1.0s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.7ms Speed: 2.8ms preprocess, 7.7ms inference, 23.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:05, 1.51it/s] 20%|██ | 2/10 [00:01<00:04, 1.82it/s] 30%|███ | 3/10 [00:01<00:03, 1.92it/s] 40%|████ | 4/10 [00:02<00:02, 2.04it/s] 50%|█████ | 5/10 [00:02<00:02, 2.09it/s] 60%|██████ | 6/10 [00:02<00:01, 2.17it/s] 70%|███████ | 7/10 [00:03<00:01, 2.23it/s] 80%|████████ | 8/10 [00:03<00:00, 2.24it/s] 90%|█████████ | 9/10 [00:04<00:00, 2.51it/s] 100%|██████████| 10/10 [00:04<00:00, 2.97it/s] 100%|██████████| 10/10 [00:04<00:00, 2.32it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.2ms Speed: 2.8ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:04, 2.14it/s] 20%|██ | 2/10 [00:00<00:03, 2.20it/s] 30%|███ | 3/10 [00:01<00:03, 2.14it/s] 40%|████ | 4/10 [00:01<00:02, 2.11it/s] 50%|█████ | 5/10 [00:02<00:02, 2.08it/s] 60%|██████ | 6/10 [00:02<00:01, 2.13it/s] 70%|███████ | 7/10 [00:03<00:01, 2.17it/s] 80%|████████ | 8/10 [00:03<00:00, 2.18it/s] 90%|█████████ | 9/10 [00:04<00:00, 2.46it/s] 100%|██████████| 10/10 [00:04<00:00, 2.92it/s] 100%|██████████| 10/10 [00:04<00:00, 2.38it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.8ms Speed: 3.6ms preprocess, 7.8ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:04, 2.13it/s] 20%|██ | 2/10 [00:00<00:03, 2.19it/s] 30%|███ | 3/10 [00:01<00:03, 2.12it/s] 40%|████ | 4/10 [00:01<00:02, 2.17it/s] 50%|█████ | 5/10 [00:02<00:02, 2.15it/s] 60%|██████ | 6/10 [00:02<00:01, 2.19it/s] 70%|███████ | 7/10 [00:03<00:01, 2.22it/s] 80%|████████ | 8/10 [00:03<00:00, 2.24it/s] 90%|█████████ | 9/10 [00:03<00:00, 2.52it/s] 100%|██████████| 10/10 [00:04<00:00, 2.97it/s] 100%|██████████| 10/10 [00:04<00:00, 2.42it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 8.0ms Speed: 3.1ms preprocess, 8.0ms inference, 1.2ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 1 face, 7.4ms Speed: 2.6ms preprocess, 7.4ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:04, 2.05it/s] 20%|██ | 2/10 [00:00<00:03, 2.10it/s] 30%|███ | 3/10 [00:01<00:03, 2.09it/s] 40%|████ | 4/10 [00:01<00:02, 2.16it/s] 50%|█████ | 5/10 [00:02<00:02, 2.17it/s] 60%|██████ | 6/10 [00:02<00:01, 2.20it/s] 70%|███████ | 7/10 [00:03<00:01, 2.24it/s] 80%|████████ | 8/10 [00:03<00:00, 2.27it/s] 90%|█████████ | 9/10 [00:03<00:00, 2.55it/s] 100%|██████████| 10/10 [00:04<00:00, 3.00it/s] 100%|██████████| 10/10 [00:04<00:00, 2.43it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.0ms Speed: 2.8ms preprocess, 7.0ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:04, 2.16it/s] 20%|██ | 2/10 [00:00<00:03, 2.19it/s] 30%|███ | 3/10 [00:01<00:03, 2.15it/s] 40%|████ | 4/10 [00:01<00:02, 2.13it/s] 50%|█████ | 5/10 [00:02<00:02, 2.13it/s] 60%|██████ | 6/10 [00:02<00:01, 2.20it/s] 70%|███████ | 7/10 [00:03<00:01, 2.23it/s] 80%|████████ | 8/10 [00:03<00:00, 2.24it/s] 90%|█████████ | 9/10 [00:03<00:00, 2.52it/s] 100%|██████████| 10/10 [00:04<00:00, 2.96it/s] 100%|██████████| 10/10 [00:04<00:00, 2.42it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:04, 2.18it/s] 20%|██ | 2/10 [00:00<00:03, 2.23it/s] 30%|███ | 3/10 [00:01<00:03, 2.15it/s] 40%|████ | 4/10 [00:01<00:02, 2.20it/s] 50%|█████ | 5/10 [00:02<00:02, 2.16it/s] 60%|██████ | 6/10 [00:02<00:01, 2.24it/s] 70%|███████ | 7/10 [00:03<00:01, 2.26it/s] 80%|████████ | 8/10 [00:03<00:00, 2.28it/s] 90%|█████████ | 9/10 [00:03<00:00, 2.57it/s] 100%|██████████| 10/10 [00:04<00:00, 3.00it/s] 100%|██████████| 10/10 [00:04<00:00, 2.46it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 2.8ms preprocess, 7.6ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:04, 2.14it/s] 20%|██ | 2/10 [00:00<00:03, 2.20it/s] 30%|███ | 3/10 [00:01<00:03, 2.17it/s] 40%|████ | 4/10 [00:01<00:02, 2.19it/s] 50%|█████ | 5/10 [00:02<00:02, 2.21it/s] 60%|██████ | 6/10 [00:02<00:01, 2.28it/s] 70%|███████ | 7/10 [00:03<00:01, 2.31it/s] 80%|████████ | 8/10 [00:03<00:00, 2.32it/s] 90%|█████████ | 9/10 [00:03<00:00, 2.60it/s] 100%|██████████| 10/10 [00:04<00:00, 3.05it/s] 100%|██████████| 10/10 [00:04<00:00, 2.49it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.5ms Speed: 2.9ms preprocess, 7.5ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:04, 2.16it/s] 20%|██ | 2/10 [00:00<00:03, 2.22it/s] 30%|███ | 3/10 [00:01<00:03, 2.18it/s] 40%|████ | 4/10 [00:01<00:02, 2.20it/s] 50%|█████ | 5/10 [00:02<00:02, 2.19it/s] 60%|██████ | 6/10 [00:02<00:01, 2.26it/s] 70%|███████ | 7/10 [00:03<00:01, 2.29it/s] 80%|████████ | 8/10 [00:03<00:00, 2.31it/s] 90%|█████████ | 9/10 [00:03<00:00, 2.58it/s] 100%|██████████| 10/10 [00:04<00:00, 2.98it/s] 100%|██████████| 10/10 [00:04<00:00, 2.47it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:04, 2.11it/s] 20%|██ | 2/10 [00:00<00:03, 2.20it/s] 30%|███ | 3/10 [00:01<00:03, 2.15it/s] 40%|████ | 4/10 [00:01<00:02, 2.19it/s] 50%|█████ | 5/10 [00:02<00:02, 2.20it/s] 60%|██████ | 6/10 [00:02<00:01, 2.26it/s] 70%|███████ | 7/10 [00:03<00:01, 2.30it/s] 80%|████████ | 8/10 [00:03<00:00, 2.30it/s] 90%|█████████ | 9/10 [00:03<00:00, 2.57it/s] 100%|██████████| 10/10 [00:04<00:00, 3.01it/s] 100%|██████████| 10/10 [00:04<00:00, 2.47it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
<lora:smeagol:0.9>, Ghollum from the Lord of the Rings, smeagol, a man with a weird face and a weird haircut, squatting, (white skin, big eyes), blue eyes, cavern background, loincloth, detailed face, looking at viewer, (upper body:1.2), <lora:weight_slider_v2:-2.5>
negative_prompt
Specify things to not see in the output
(low quality, worst quality:1.4), (bad anatomy), (inaccurate limb:1.2), bad composition, inaccurate eyes, extra digit, fewer digits, (extra arms:1.2), lowres, (bad anatomy:1.1025), (bad hands:1.1025), text, missing finger, extra digits, fewer digits, blurry, (mutated hands and fingers:1.1025), (poorly drawn face:1.05), (mutation:1.1025), (deformed face:1.1025), (ugly:1.05), (bad proportions:1.1025), (extra limbs:1.1025), extra face, (double head:1.05), (extra head:1.05), (extra feet:1.1025), monster, logo, cropped, worst quality, low quality, normal quality, jpeg, humpbacked, long body, long neck, (jpeg artifacts:1.1025),
num_outputs
Number of output images
4
width
Output image width
768
height
Output image height
768
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
saturation
Adjust saturation
1
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
902302415
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 SDE Karras
samping_steps
Number of denoising steps
20
cfg_scale
Scale for classifier-free guidance
8.5
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>
smeagol.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
weight_slider_v2.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/05ad5d0bacc24e178568e048563bb1da/00000-902302415.webp
https://files.tungsten.run/uploads/4f8ffd1aa381416fb7cebe7c2f1d4005/00001-902302416.webp
https://files.tungsten.run/uploads/abdd3c3f4a33424b894f502aa468af5a/00002-902302417.webp
https://files.tungsten.run/uploads/0d1e1e81f2c94f179f26e6e01864ed34/00003-902302418.webp
Finished in 89.3 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: <lora:smeagol:0.9>, Ghollum from the Lord of the Rings, smeagol, a man with a weird face and a weird haircut, squatting, (white skin, big eyes), blue eyes, cavern background, loincloth, detailed face, looking at viewer, (upper body:1.2), <lora:weight_slider_v2:-2.5>, <lora:add_saturation:1.0> Full negative prompt: (low quality, worst quality:1.4), (bad anatomy), (inaccurate limb:1.2), bad composition, inaccurate eyes, extra digit, fewer digits, (extra arms:1.2), lowres, (bad anatomy:1.1025), (bad hands:1.1025), text, missing finger, extra digits, fewer digits, blurry, (mutated hands and fingers:1.1025), (poorly drawn face:1.05), (mutation:1.1025), (deformed face:1.1025), (ugly:1.05), (bad proportions:1.1025), (extra limbs:1.1025), extra face, (double head:1.05), (extra head:1.05), (extra feet:1.1025), monster, logo, cropped, worst quality, low quality, normal quality, jpeg, humpbacked, long body, long neck, (jpeg artifacts:1.1025), 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:01<00:36, 1.93s/it] 10%|█ | 2/20 [00:03<00:33, 1.89s/it] 15%|█▌ | 3/20 [00:05<00:31, 1.85s/it] 20%|██ | 4/20 [00:07<00:29, 1.86s/it] 25%|██▌ | 5/20 [00:09<00:27, 1.82s/it] 30%|███ | 6/20 [00:11<00:25, 1.83s/it] 35%|███▌ | 7/20 [00:12<00:23, 1.81s/it] 40%|████ | 8/20 [00:14<00:20, 1.74s/it] 45%|████▌ | 9/20 [00:16<00:18, 1.73s/it] 50%|█████ | 10/20 [00:17<00:17, 1.76s/it] 55%|█████▌ | 11/20 [00:19<00:15, 1.73s/it] 60%|██████ | 12/20 [00:21<00:13, 1.70s/it] 65%|██████▌ | 13/20 [00:22<00:12, 1.72s/it] 70%|███████ | 14/20 [00:24<00:10, 1.67s/it] 75%|███████▌ | 15/20 [00:26<00:08, 1.66s/it] 80%|████████ | 16/20 [00:27<00:06, 1.60s/it] 85%|████████▌ | 17/20 [00:29<00:04, 1.59s/it] 90%|█████████ | 18/20 [00:30<00:03, 1.57s/it] 95%|█████████▌| 19/20 [00:31<00:01, 1.38s/it] 100%|██████████| 20/20 [00:32<00:00, 1.16s/it] 100%|██████████| 20/20 [00:32<00:00, 1.62s/it] Decoding latents in cuda:0... done in 1.0s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.7ms Speed: 2.8ms preprocess, 7.7ms inference, 23.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:05, 1.51it/s] 20%|██ | 2/10 [00:01<00:04, 1.82it/s] 30%|███ | 3/10 [00:01<00:03, 1.92it/s] 40%|████ | 4/10 [00:02<00:02, 2.04it/s] 50%|█████ | 5/10 [00:02<00:02, 2.09it/s] 60%|██████ | 6/10 [00:02<00:01, 2.17it/s] 70%|███████ | 7/10 [00:03<00:01, 2.23it/s] 80%|████████ | 8/10 [00:03<00:00, 2.24it/s] 90%|█████████ | 9/10 [00:04<00:00, 2.51it/s] 100%|██████████| 10/10 [00:04<00:00, 2.97it/s] 100%|██████████| 10/10 [00:04<00:00, 2.32it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.2ms Speed: 2.8ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:04, 2.14it/s] 20%|██ | 2/10 [00:00<00:03, 2.20it/s] 30%|███ | 3/10 [00:01<00:03, 2.14it/s] 40%|████ | 4/10 [00:01<00:02, 2.11it/s] 50%|█████ | 5/10 [00:02<00:02, 2.08it/s] 60%|██████ | 6/10 [00:02<00:01, 2.13it/s] 70%|███████ | 7/10 [00:03<00:01, 2.17it/s] 80%|████████ | 8/10 [00:03<00:00, 2.18it/s] 90%|█████████ | 9/10 [00:04<00:00, 2.46it/s] 100%|██████████| 10/10 [00:04<00:00, 2.92it/s] 100%|██████████| 10/10 [00:04<00:00, 2.38it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.8ms Speed: 3.6ms preprocess, 7.8ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:04, 2.13it/s] 20%|██ | 2/10 [00:00<00:03, 2.19it/s] 30%|███ | 3/10 [00:01<00:03, 2.12it/s] 40%|████ | 4/10 [00:01<00:02, 2.17it/s] 50%|█████ | 5/10 [00:02<00:02, 2.15it/s] 60%|██████ | 6/10 [00:02<00:01, 2.19it/s] 70%|███████ | 7/10 [00:03<00:01, 2.22it/s] 80%|████████ | 8/10 [00:03<00:00, 2.24it/s] 90%|█████████ | 9/10 [00:03<00:00, 2.52it/s] 100%|██████████| 10/10 [00:04<00:00, 2.97it/s] 100%|██████████| 10/10 [00:04<00:00, 2.42it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 8.0ms Speed: 3.1ms preprocess, 8.0ms inference, 1.2ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 1 face, 7.4ms Speed: 2.6ms preprocess, 7.4ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:04, 2.05it/s] 20%|██ | 2/10 [00:00<00:03, 2.10it/s] 30%|███ | 3/10 [00:01<00:03, 2.09it/s] 40%|████ | 4/10 [00:01<00:02, 2.16it/s] 50%|█████ | 5/10 [00:02<00:02, 2.17it/s] 60%|██████ | 6/10 [00:02<00:01, 2.20it/s] 70%|███████ | 7/10 [00:03<00:01, 2.24it/s] 80%|████████ | 8/10 [00:03<00:00, 2.27it/s] 90%|█████████ | 9/10 [00:03<00:00, 2.55it/s] 100%|██████████| 10/10 [00:04<00:00, 3.00it/s] 100%|██████████| 10/10 [00:04<00:00, 2.43it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.0ms Speed: 2.8ms preprocess, 7.0ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:04, 2.16it/s] 20%|██ | 2/10 [00:00<00:03, 2.19it/s] 30%|███ | 3/10 [00:01<00:03, 2.15it/s] 40%|████ | 4/10 [00:01<00:02, 2.13it/s] 50%|█████ | 5/10 [00:02<00:02, 2.13it/s] 60%|██████ | 6/10 [00:02<00:01, 2.20it/s] 70%|███████ | 7/10 [00:03<00:01, 2.23it/s] 80%|████████ | 8/10 [00:03<00:00, 2.24it/s] 90%|█████████ | 9/10 [00:03<00:00, 2.52it/s] 100%|██████████| 10/10 [00:04<00:00, 2.96it/s] 100%|██████████| 10/10 [00:04<00:00, 2.42it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:04, 2.18it/s] 20%|██ | 2/10 [00:00<00:03, 2.23it/s] 30%|███ | 3/10 [00:01<00:03, 2.15it/s] 40%|████ | 4/10 [00:01<00:02, 2.20it/s] 50%|█████ | 5/10 [00:02<00:02, 2.16it/s] 60%|██████ | 6/10 [00:02<00:01, 2.24it/s] 70%|███████ | 7/10 [00:03<00:01, 2.26it/s] 80%|████████ | 8/10 [00:03<00:00, 2.28it/s] 90%|█████████ | 9/10 [00:03<00:00, 2.57it/s] 100%|██████████| 10/10 [00:04<00:00, 3.00it/s] 100%|██████████| 10/10 [00:04<00:00, 2.46it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 2.8ms preprocess, 7.6ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:04, 2.14it/s] 20%|██ | 2/10 [00:00<00:03, 2.20it/s] 30%|███ | 3/10 [00:01<00:03, 2.17it/s] 40%|████ | 4/10 [00:01<00:02, 2.19it/s] 50%|█████ | 5/10 [00:02<00:02, 2.21it/s] 60%|██████ | 6/10 [00:02<00:01, 2.28it/s] 70%|███████ | 7/10 [00:03<00:01, 2.31it/s] 80%|████████ | 8/10 [00:03<00:00, 2.32it/s] 90%|█████████ | 9/10 [00:03<00:00, 2.60it/s] 100%|██████████| 10/10 [00:04<00:00, 3.05it/s] 100%|██████████| 10/10 [00:04<00:00, 2.49it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.5ms Speed: 2.9ms preprocess, 7.5ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:04, 2.16it/s] 20%|██ | 2/10 [00:00<00:03, 2.22it/s] 30%|███ | 3/10 [00:01<00:03, 2.18it/s] 40%|████ | 4/10 [00:01<00:02, 2.20it/s] 50%|█████ | 5/10 [00:02<00:02, 2.19it/s] 60%|██████ | 6/10 [00:02<00:01, 2.26it/s] 70%|███████ | 7/10 [00:03<00:01, 2.29it/s] 80%|████████ | 8/10 [00:03<00:00, 2.31it/s] 90%|█████████ | 9/10 [00:03<00:00, 2.58it/s] 100%|██████████| 10/10 [00:04<00:00, 2.98it/s] 100%|██████████| 10/10 [00:04<00:00, 2.47it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:04, 2.11it/s] 20%|██ | 2/10 [00:00<00:03, 2.20it/s] 30%|███ | 3/10 [00:01<00:03, 2.15it/s] 40%|████ | 4/10 [00:01<00:02, 2.19it/s] 50%|█████ | 5/10 [00:02<00:02, 2.20it/s] 60%|██████ | 6/10 [00:02<00:01, 2.26it/s] 70%|███████ | 7/10 [00:03<00:01, 2.30it/s] 80%|████████ | 8/10 [00:03<00:00, 2.30it/s] 90%|█████████ | 9/10 [00:03<00:00, 2.57it/s] 100%|██████████| 10/10 [00:04<00:00, 3.01it/s] 100%|██████████| 10/10 [00:04<00:00, 2.47it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Uploading outputs... Finished.