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atomix-anime
atomix-anime

atomix-anime

4 stars
Version: v1.0
Input
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
saturation
Adjust saturation
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
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.
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.
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.
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.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
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.
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Output
https://files.tungsten.run/uploads/13f1e6b55bf646da923a1135bd49295f/00000-1077256526.webp
https://files.tungsten.run/uploads/3d287d4b43d0419b8b6f4a74ba88f9e8/00001-1077256527.webp
https://files.tungsten.run/uploads/8a583154fa7347c3922dccefdd42e06d/00002-1077256528.webp
https://files.tungsten.run/uploads/c155a086773a4767b95df17c168d658d/00003-1077256529.webp
This example was created by evevalentine2017
Finished in 77.0 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: hyper detailed masterpiece, dynamic realistic digital art, awesome quality, emphasized details, stunningly beautiful 19-year-old girl chestnut eyes, costume makeup, auburn wispy bangs hair, excitement, wearing a hat, wearing a hat with a seductive look, adding a touch of mystery and allure, lens flares, dreamy flares adding a whimsical and romantic touch to the visuals, a vibrant farmer's market, bustling with people and colorful produce, Full negative prompt: (worst quality, low quality:1.4), (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. tattoo, watermark, text, badhandv4 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:12, 1.47it/s] 10%|█ | 2/20 [00:01<00:11, 1.53it/s] 15%|█▌ | 3/20 [00:01<00:10, 1.56it/s] 20%|██ | 4/20 [00:02<00:10, 1.56it/s] 25%|██▌ | 5/20 [00:03<00:09, 1.56it/s] 30%|███ | 6/20 [00:03<00:09, 1.55it/s] 35%|███▌ | 7/20 [00:04<00:08, 1.55it/s] 40%|████ | 8/20 [00:05<00:07, 1.55it/s] 45%|████▌ | 9/20 [00:05<00:07, 1.55it/s] 50%|█████ | 10/20 [00:06<00:06, 1.54it/s] 55%|█████▌ | 11/20 [00:07<00:05, 1.54it/s] 60%|██████ | 12/20 [00:07<00:05, 1.54it/s] 65%|██████▌ | 13/20 [00:08<00:04, 1.54it/s] 70%|███████ | 14/20 [00:09<00:03, 1.54it/s] 75%|███████▌ | 15/20 [00:09<00:03, 1.54it/s] 80%|████████ | 16/20 [00:10<00:02, 1.54it/s] 85%|████████▌ | 17/20 [00:11<00:01, 1.54it/s] 90%|█████████ | 18/20 [00:11<00:01, 1.54it/s] 95%|█████████▌| 19/20 [00:12<00:00, 1.53it/s] 100%|██████████| 20/20 [00:12<00:00, 1.53it/s] 100%|██████████| 20/20 [00:12<00:00, 1.54it/s] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.02s 0: 640x640 4 faces, 7.5ms Speed: 3.4ms preprocess, 7.5ms inference, 31.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 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10/10 [00:01<00:00, 5.00it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 5.15it/s] 20%|██ | 2/10 [00:00<00:01, 5.17it/s] 30%|███ | 3/10 [00:00<00:01, 5.18it/s] 40%|████ | 4/10 [00:00<00:01, 5.17it/s] 50%|█████ | 5/10 [00:00<00:00, 5.10it/s] 60%|██████ | 6/10 [00:01<00:00, 5.09it/s] 70%|███████ | 7/10 [00:01<00:00, 5.08it/s] 80%|████████ | 8/10 [00:01<00:00, 5.08it/s] 90%|█████████ | 9/10 [00:01<00:00, 5.03it/s] 100%|██████████| 10/10 [00:01<00:00, 4.98it/s] 100%|██████████| 10/10 [00:01<00:00, 5.06it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.96it/s] 20%|██ | 2/10 [00:00<00:01, 5.05it/s] 30%|███ | 3/10 [00:00<00:01, 5.09it/s] 40%|████ | 4/10 [00:00<00:01, 5.11it/s] 50%|█████ | 5/10 [00:00<00:00, 5.13it/s] 60%|██████ | 6/10 [00:01<00:00, 5.15it/s] 70%|███████ | 7/10 [00:01<00:00, 5.17it/s] 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preprocess, 7.7ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.89it/s] 20%|██ | 2/10 [00:00<00:01, 4.91it/s] 30%|███ | 3/10 [00:00<00:01, 5.04it/s] 40%|████ | 4/10 [00:00<00:01, 4.97it/s] 50%|█████ | 5/10 [00:01<00:00, 5.00it/s] 60%|██████ | 6/10 [00:01<00:00, 5.04it/s] 70%|███████ | 7/10 [00:01<00:00, 5.02it/s] 80%|████████ | 8/10 [00:01<00:00, 5.04it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.90it/s] 100%|██████████| 10/10 [00:02<00:00, 4.90it/s] 100%|██████████| 10/10 [00:02<00:00, 4.96it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.86it/s] 20%|██ | 2/10 [00:00<00:01, 4.95it/s] 30%|███ | 3/10 [00:00<00:01, 5.05it/s] 40%|████ | 4/10 [00:00<00:01, 5.08it/s] 50%|█████ | 5/10 [00:00<00:00, 5.09it/s] 60%|██████ | 6/10 [00:01<00:00, 5.11it/s] 70%|███████ | 7/10 [00:01<00:00, 5.09it/s] 80%|████████ | 8/10 [00:01<00:00, 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4.99it/s] 20%|██ | 2/10 [00:00<00:01, 5.01it/s] 30%|███ | 3/10 [00:00<00:01, 5.05it/s] 40%|████ | 4/10 [00:00<00:01, 5.07it/s] 50%|█████ | 5/10 [00:00<00:00, 5.08it/s] 60%|██████ | 6/10 [00:01<00:00, 5.11it/s] 70%|███████ | 7/10 [00:01<00:00, 5.06it/s] 80%|████████ | 8/10 [00:01<00:00, 4.91it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.88it/s] 100%|██████████| 10/10 [00:02<00:00, 4.87it/s] 100%|██████████| 10/10 [00:02<00:00, 4.97it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 6.6ms Speed: 2.6ms preprocess, 6.6ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 5 faces, 7.1ms Speed: 2.6ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 5.07it/s] 20%|██ | 2/10 [00:00<00:01, 4.90it/s] 30%|███ | 3/10 [00:00<00:01, 4.99it/s] 40%|████ | 4/10 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5.10it/s] 100%|██████████| 10/10 [00:01<00:00, 5.07it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 5.08it/s] 20%|██ | 2/10 [00:00<00:01, 5.10it/s] 30%|███ | 3/10 [00:00<00:01, 5.02it/s] 40%|████ | 4/10 [00:00<00:01, 5.04it/s] 50%|█████ | 5/10 [00:00<00:00, 5.00it/s] 60%|██████ | 6/10 [00:01<00:00, 4.98it/s] 70%|███████ | 7/10 [00:01<00:00, 5.02it/s] 80%|████████ | 8/10 [00:01<00:00, 5.03it/s] 90%|█████████ | 9/10 [00:01<00:00, 5.05it/s] 100%|██████████| 10/10 [00:01<00:00, 5.06it/s] 100%|██████████| 10/10 [00:01<00:00, 5.04it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.5ms Speed: 3.0ms preprocess, 7.5ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.77it/s] 20%|██ | 2/10 [00:00<00:01, 4.94it/s] 30%|███ | 3/10 [00:00<00:01, 5.08it/s] 40%|████ | 4/10 [00:00<00:01, 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Finished.
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
saturation
Adjust saturation
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
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.
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.
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.
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.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
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.
Sign in to run this model for free!
https://files.tungsten.run/uploads/13f1e6b55bf646da923a1135bd49295f/00000-1077256526.webp
https://files.tungsten.run/uploads/3d287d4b43d0419b8b6f4a74ba88f9e8/00001-1077256527.webp
https://files.tungsten.run/uploads/8a583154fa7347c3922dccefdd42e06d/00002-1077256528.webp
https://files.tungsten.run/uploads/c155a086773a4767b95df17c168d658d/00003-1077256529.webp
This example was created by evevalentine2017
Finished in 77.0 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: hyper detailed masterpiece, dynamic realistic digital art, awesome quality, emphasized details, stunningly beautiful 19-year-old girl chestnut eyes, costume makeup, auburn wispy bangs hair, excitement, wearing a hat, wearing a hat with a seductive look, adding a touch of mystery and allure, lens flares, dreamy flares adding a whimsical and romantic touch to the visuals, a vibrant farmer's market, bustling with people and colorful produce, Full negative prompt: (worst quality, low quality:1.4), (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. tattoo, watermark, text, badhandv4 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:12, 1.47it/s] 10%|█ | 2/20 [00:01<00:11, 1.53it/s] 15%|█▌ | 3/20 [00:01<00:10, 1.56it/s] 20%|██ | 4/20 [00:02<00:10, 1.56it/s] 25%|██▌ | 5/20 [00:03<00:09, 1.56it/s] 30%|███ | 6/20 [00:03<00:09, 1.55it/s] 35%|███▌ | 7/20 [00:04<00:08, 1.55it/s] 40%|████ | 8/20 [00:05<00:07, 1.55it/s] 45%|████▌ | 9/20 [00:05<00:07, 1.55it/s] 50%|█████ | 10/20 [00:06<00:06, 1.54it/s] 55%|█████▌ | 11/20 [00:07<00:05, 1.54it/s] 60%|██████ | 12/20 [00:07<00:05, 1.54it/s] 65%|██████▌ | 13/20 [00:08<00:04, 1.54it/s] 70%|███████ | 14/20 [00:09<00:03, 1.54it/s] 75%|███████▌ | 15/20 [00:09<00:03, 1.54it/s] 80%|████████ | 16/20 [00:10<00:02, 1.54it/s] 85%|████████▌ | 17/20 [00:11<00:01, 1.54it/s] 90%|█████████ | 18/20 [00:11<00:01, 1.54it/s] 95%|█████████▌| 19/20 [00:12<00:00, 1.53it/s] 100%|██████████| 20/20 [00:12<00:00, 1.53it/s] 100%|██████████| 20/20 [00:12<00:00, 1.54it/s] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.02s 0: 640x640 4 faces, 7.5ms Speed: 3.4ms preprocess, 7.5ms inference, 31.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 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10/10 [00:01<00:00, 5.00it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 5.15it/s] 20%|██ | 2/10 [00:00<00:01, 5.17it/s] 30%|███ | 3/10 [00:00<00:01, 5.18it/s] 40%|████ | 4/10 [00:00<00:01, 5.17it/s] 50%|█████ | 5/10 [00:00<00:00, 5.10it/s] 60%|██████ | 6/10 [00:01<00:00, 5.09it/s] 70%|███████ | 7/10 [00:01<00:00, 5.08it/s] 80%|████████ | 8/10 [00:01<00:00, 5.08it/s] 90%|█████████ | 9/10 [00:01<00:00, 5.03it/s] 100%|██████████| 10/10 [00:01<00:00, 4.98it/s] 100%|██████████| 10/10 [00:01<00:00, 5.06it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.96it/s] 20%|██ | 2/10 [00:00<00:01, 5.05it/s] 30%|███ | 3/10 [00:00<00:01, 5.09it/s] 40%|████ | 4/10 [00:00<00:01, 5.11it/s] 50%|█████ | 5/10 [00:00<00:00, 5.13it/s] 60%|██████ | 6/10 [00:01<00:00, 5.15it/s] 70%|███████ | 7/10 [00:01<00:00, 5.17it/s] 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preprocess, 7.7ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.89it/s] 20%|██ | 2/10 [00:00<00:01, 4.91it/s] 30%|███ | 3/10 [00:00<00:01, 5.04it/s] 40%|████ | 4/10 [00:00<00:01, 4.97it/s] 50%|█████ | 5/10 [00:01<00:00, 5.00it/s] 60%|██████ | 6/10 [00:01<00:00, 5.04it/s] 70%|███████ | 7/10 [00:01<00:00, 5.02it/s] 80%|████████ | 8/10 [00:01<00:00, 5.04it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.90it/s] 100%|██████████| 10/10 [00:02<00:00, 4.90it/s] 100%|██████████| 10/10 [00:02<00:00, 4.96it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.86it/s] 20%|██ | 2/10 [00:00<00:01, 4.95it/s] 30%|███ | 3/10 [00:00<00:01, 5.05it/s] 40%|████ | 4/10 [00:00<00:01, 5.08it/s] 50%|█████ | 5/10 [00:00<00:00, 5.09it/s] 60%|██████ | 6/10 [00:01<00:00, 5.11it/s] 70%|███████ | 7/10 [00:01<00:00, 5.09it/s] 80%|████████ | 8/10 [00:01<00:00, 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[00:00<00:00, 5.10it/s] 60%|██████ | 6/10 [00:01<00:00, 5.13it/s] 70%|███████ | 7/10 [00:01<00:00, 5.00it/s] 80%|████████ | 8/10 [00:01<00:00, 5.04it/s] 90%|█████████ | 9/10 [00:01<00:00, 5.06it/s] 100%|██████████| 10/10 [00:01<00:00, 5.08it/s] 100%|██████████| 10/10 [00:01<00:00, 5.06it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.89it/s] 20%|██ | 2/10 [00:00<00:01, 4.94it/s] 30%|███ | 3/10 [00:00<00:01, 4.92it/s] 40%|████ | 4/10 [00:00<00:01, 4.97it/s] 50%|█████ | 5/10 [00:01<00:01, 4.88it/s] 60%|██████ | 6/10 [00:01<00:00, 4.96it/s] 70%|███████ | 7/10 [00:01<00:00, 4.94it/s] 80%|████████ | 8/10 [00:01<00:00, 5.01it/s] 90%|█████████ | 9/10 [00:01<00:00, 5.05it/s] 100%|██████████| 10/10 [00:02<00:00, 5.03it/s] 100%|██████████| 10/10 [00:02<00:00, 4.98it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.99it/s] 20%|██ | 2/10 [00:00<00:01, 5.01it/s] 30%|███ | 3/10 [00:00<00:01, 5.05it/s] 40%|████ | 4/10 [00:00<00:01, 5.07it/s] 50%|█████ | 5/10 [00:00<00:00, 5.08it/s] 60%|██████ | 6/10 [00:01<00:00, 5.11it/s] 70%|███████ | 7/10 [00:01<00:00, 5.06it/s] 80%|████████ | 8/10 [00:01<00:00, 4.91it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.88it/s] 100%|██████████| 10/10 [00:02<00:00, 4.87it/s] 100%|██████████| 10/10 [00:02<00:00, 4.97it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 6.6ms Speed: 2.6ms preprocess, 6.6ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 5 faces, 7.1ms Speed: 2.6ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 5.07it/s] 20%|██ | 2/10 [00:00<00:01, 4.90it/s] 30%|███ | 3/10 [00:00<00:01, 4.99it/s] 40%|████ | 4/10 [00:00<00:01, 5.07it/s] 50%|█████ | 5/10 [00:00<00:00, 5.10it/s] 60%|██████ | 6/10 [00:01<00:00, 5.06it/s] 70%|███████ | 7/10 [00:01<00:00, 5.06it/s] 80%|████████ | 8/10 [00:01<00:00, 5.12it/s] 90%|█████████ | 9/10 [00:01<00:00, 5.16it/s] 100%|██████████| 10/10 [00:01<00:00, 5.12it/s] 100%|██████████| 10/10 [00:01<00:00, 5.09it/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<00:01, 5.09it/s] 20%|██ | 2/10 [00:00<00:01, 5.14it/s] 30%|███ | 3/10 [00:00<00:01, 5.11it/s] 40%|████ | 4/10 [00:00<00:01, 5.05it/s] 50%|█████ | 5/10 [00:00<00:00, 5.07it/s] 60%|██████ | 6/10 [00:01<00:00, 5.08it/s] 70%|███████ | 7/10 [00:01<00:00, 5.11it/s] 80%|████████ | 8/10 [00:01<00:00, 5.13it/s] 90%|█████████ | 9/10 [00:01<00:00, 5.12it/s] 100%|██████████| 10/10 [00:01<00:00, 5.10it/s] 100%|██████████| 10/10 [00:01<00:00, 5.10it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 5.10it/s] 20%|██ | 2/10 [00:00<00:01, 5.12it/s] 30%|███ | 3/10 [00:00<00:01, 5.13it/s] 40%|████ | 4/10 [00:00<00:01, 5.11it/s] 50%|█████ | 5/10 [00:00<00:00, 5.11it/s] 60%|██████ | 6/10 [00:01<00:00, 5.10it/s] 70%|███████ | 7/10 [00:01<00:00, 5.14it/s] 80%|████████ | 8/10 [00:01<00:00, 5.10it/s] 90%|█████████ | 9/10 [00:01<00:00, 5.10it/s] 100%|██████████| 10/10 [00:01<00:00, 5.12it/s] 100%|██████████| 10/10 [00:01<00:00, 5.11it/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<00:01, 4.95it/s] 20%|██ | 2/10 [00:00<00:01, 4.99it/s] 30%|███ | 3/10 [00:00<00:01, 5.04it/s] 40%|████ | 4/10 [00:00<00:01, 5.02it/s] 50%|█████ | 5/10 [00:00<00:00, 5.07it/s] 60%|██████ | 6/10 [00:01<00:00, 5.07it/s] 70%|███████ | 7/10 [00:01<00:00, 5.06it/s] 80%|████████ | 8/10 [00:01<00:00, 5.09it/s] 90%|█████████ | 9/10 [00:01<00:00, 5.09it/s] 100%|██████████| 10/10 [00:01<00:00, 5.10it/s] 100%|██████████| 10/10 [00:01<00:00, 5.07it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 5.08it/s] 20%|██ | 2/10 [00:00<00:01, 5.10it/s] 30%|███ | 3/10 [00:00<00:01, 5.02it/s] 40%|████ | 4/10 [00:00<00:01, 5.04it/s] 50%|█████ | 5/10 [00:00<00:00, 5.00it/s] 60%|██████ | 6/10 [00:01<00:00, 4.98it/s] 70%|███████ | 7/10 [00:01<00:00, 5.02it/s] 80%|████████ | 8/10 [00:01<00:00, 5.03it/s] 90%|█████████ | 9/10 [00:01<00:00, 5.05it/s] 100%|██████████| 10/10 [00:01<00:00, 5.06it/s] 100%|██████████| 10/10 [00:01<00:00, 5.04it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.5ms Speed: 3.0ms preprocess, 7.5ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.77it/s] 20%|██ | 2/10 [00:00<00:01, 4.94it/s] 30%|███ | 3/10 [00:00<00:01, 5.08it/s] 40%|████ | 4/10 [00:00<00:01, 5.05it/s] 50%|█████ | 5/10 [00:01<00:01, 5.00it/s] 60%|██████ | 6/10 [00:01<00:00, 5.01it/s] 70%|███████ | 7/10 [00:01<00:00, 5.03it/s] 80%|████████ | 8/10 [00:01<00:00, 5.07it/s] 90%|█████████ | 9/10 [00:01<00:00, 5.06it/s] 100%|██████████| 10/10 [00:01<00:00, 5.02it/s] 100%|██████████| 10/10 [00:01<00:00, 5.02it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 3 faces, 7.1ms Speed: 2.7ms preprocess, 7.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 5.00it/s] 20%|██ | 2/10 [00:00<00:01, 5.09it/s] 30%|███ | 3/10 [00:00<00:01, 5.13it/s] 40%|████ | 4/10 [00:00<00:01, 5.16it/s] 50%|█████ | 5/10 [00:00<00:00, 5.10it/s] 60%|██████ | 6/10 [00:01<00:00, 5.08it/s] 70%|███████ | 7/10 [00:01<00:00, 5.11it/s] 80%|████████ | 8/10 [00:01<00:00, 5.11it/s] 90%|█████████ | 9/10 [00:01<00:00, 5.13it/s] 100%|██████████| 10/10 [00:01<00:00, 5.12it/s] 100%|██████████| 10/10 [00:01<00:00, 5.11it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 5.10it/s] 20%|██ | 2/10 [00:00<00:01, 5.11it/s] 30%|███ | 3/10 [00:00<00:01, 5.04it/s] 40%|████ | 4/10 [00:00<00:01, 5.04it/s] 50%|█████ | 5/10 [00:00<00:00, 5.03it/s] 60%|██████ | 6/10 [00:01<00:00, 5.05it/s] 70%|███████ | 7/10 [00:01<00:00, 5.07it/s] 80%|████████ | 8/10 [00:01<00:00, 5.05it/s] 90%|█████████ | 9/10 [00:01<00:00, 5.06it/s] 100%|██████████| 10/10 [00:01<00:00, 5.02it/s] 100%|██████████| 10/10 [00:01<00:00, 5.04it/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<00:01, 5.07it/s] 20%|██ | 2/10 [00:00<00:01, 5.10it/s] 30%|███ | 3/10 [00:00<00:01, 5.13it/s] 40%|████ | 4/10 [00:00<00:01, 5.10it/s] 50%|█████ | 5/10 [00:00<00:00, 5.09it/s] 60%|██████ | 6/10 [00:01<00:00, 5.06it/s] 70%|███████ | 7/10 [00:01<00:00, 5.07it/s] 80%|████████ | 8/10 [00:01<00:00, 5.08it/s] 90%|█████████ | 9/10 [00:01<00:00, 5.10it/s] 100%|██████████| 10/10 [00:01<00:00, 5.08it/s] 100%|██████████| 10/10 [00:01<00:00, 5.09it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 6.8ms Speed: 2.6ms preprocess, 6.8ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 5.21it/s] 20%|██ | 2/10 [00:00<00:01, 5.10it/s] 30%|███ | 3/10 [00:00<00:01, 5.14it/s] 40%|████ | 4/10 [00:00<00:01, 5.17it/s] 50%|█████ | 5/10 [00:00<00:00, 5.15it/s] 60%|██████ | 6/10 [00:01<00:00, 5.12it/s] 70%|███████ | 7/10 [00:01<00:00, 5.05it/s] 80%|████████ | 8/10 [00:01<00:00, 5.08it/s] 90%|█████████ | 9/10 [00:01<00:00, 5.08it/s] 100%|██████████| 10/10 [00:01<00:00, 5.07it/s] 100%|██████████| 10/10 [00:01<00:00, 5.10it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Uploading outputs... Finished.