Man in a Wheat Field with Picx
Input
prompt
Specify things to see in the output
raw photo, black man in a straw hat, farm dirty clothes, a straw of wheat in your mouth, a field with bales in the background, a ranch, warm lighting, cosy atmosphere, Instagram style, 8k uhd, high quality, film grain
negative_prompt
Specify things to not see in the output
(deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation
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
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1659753865
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
25
cfg_scale
Scale for classifier-free guidance
5.5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
blessed2_fp16.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/8ef0b5cbcb264c14b0e4bf31e582c340/00000-1659753865.webp
https://files.tungsten.run/uploads/a9febeac4a884754b459b8387e5de789/00001-1659753866.webp
https://files.tungsten.run/uploads/df949dc7be1f4a96b98343feac9cf1de/00002-1659753867.webp
https://files.tungsten.run/uploads/2187b2321e464d2db5cc5a657654affa/00003-1659753868.webp
Finished in 43.9 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: raw photo, black man in a straw hat, farm dirty clothes, a straw of wheat in your mouth, a field with bales in the background, a ranch, warm lighting, cosy atmosphere, Instagram style, 8k uhd, high quality, film grain Full negative prompt: (deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:01<00:26, 1.12s/it] 8%|▊ | 2/25 [00:01<00:19, 1.15it/s] 12%|█▏ | 3/25 [00:02<00:17, 1.28it/s] 16%|█▌ | 4/25 [00:03<00:15, 1.34it/s] 20%|██ | 5/25 [00:03<00:14, 1.37it/s] 24%|██▍ | 6/25 [00:04<00:13, 1.40it/s] 28%|██▊ | 7/25 [00:05<00:12, 1.42it/s] 32%|███▏ | 8/25 [00:05<00:11, 1.42it/s] 36%|███▌ | 9/25 [00:06<00:11, 1.43it/s] 40%|████ | 10/25 [00:07<00:10, 1.44it/s] 44%|████▍ | 11/25 [00:08<00:09, 1.44it/s] 48%|████▊ | 12/25 [00:08<00:08, 1.45it/s] 52%|█████▏ | 13/25 [00:09<00:08, 1.45it/s] 56%|█████▌ | 14/25 [00:10<00:07, 1.44it/s] 60%|██████ | 15/25 [00:10<00:06, 1.44it/s] 64%|██████▍ | 16/25 [00:11<00:06, 1.45it/s] 68%|██████▊ | 17/25 [00:12<00:05, 1.44it/s] 72%|███████▏ | 18/25 [00:12<00:04, 1.45it/s] 76%|███████▌ | 19/25 [00:13<00:04, 1.45it/s] 80%|████████ | 20/25 [00:14<00:03, 1.45it/s] 84%|████████▍ | 21/25 [00:14<00:02, 1.45it/s] 88%|████████▊ | 22/25 [00:15<00:02, 1.45it/s] 92%|█████████▏| 23/25 [00:16<00:01, 1.45it/s] 96%|█████████▌| 24/25 [00:17<00:00, 1.44it/s] 100%|██████████| 25/25 [00:17<00:00, 1.44it/s] 100%|██████████| 25/25 [00:17<00:00, 1.41it/s] Decoding latents in cuda:0... done in 1.68s Move latents to cpu... done in 0.01s 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:03, 3.58it/s] 17%|█▋ | 2/12 [00:00<00:02, 4.88it/s] 25%|██▌ | 3/12 [00:00<00:01, 5.48it/s] 33%|███▎ | 4/12 [00:00<00:01, 5.84it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.02it/s] 50%|█████ | 6/12 [00:01<00:00, 6.05it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.04it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.05it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.13it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.19it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.21it/s] 100%|██████████| 12/12 [00:02<00:00, 6.17it/s] 100%|██████████| 12/12 [00:02<00:00, 5.90it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 6.86it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.58it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.50it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.42it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.39it/s] 50%|█████ | 6/12 [00:00<00:00, 6.28it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.21it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.18it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.23it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.25it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.27it/s] 100%|██████████| 12/12 [00:01<00:00, 6.25it/s] 100%|██████████| 12/12 [00:01<00:00, 6.31it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 6.81it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.55it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.49it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.45it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.42it/s] 50%|█████ | 6/12 [00:00<00:00, 6.29it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.23it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.16it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.20it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.24it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.25it/s] 100%|██████████| 12/12 [00:01<00:00, 6.20it/s] 100%|██████████| 12/12 [00:01<00:00, 6.29it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s [-] ADetailer: nothing detected on image 2 with 2nd settings. 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 6.81it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.62it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.54it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.43it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.40it/s] 50%|█████ | 6/12 [00:00<00:00, 6.29it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.20it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.14it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.19it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.21it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.23it/s] 100%|██████████| 12/12 [00:01<00:00, 6.18it/s] 100%|██████████| 12/12 [00:01<00:00, 6.27it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 6.59it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.43it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.43it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.41it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.25it/s] 50%|█████ | 6/12 [00:00<00:00, 6.16it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.15it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.19it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.25it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.27it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.23it/s] 100%|██████████| 12/12 [00:01<00:00, 6.20it/s] 100%|██████████| 12/12 [00:01<00:00, 6.25it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 6.76it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.53it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.48it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.42it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.41it/s] 50%|█████ | 6/12 [00:00<00:00, 6.32it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.23it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.15it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.19it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.19it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.20it/s] 100%|██████████| 12/12 [00:01<00:00, 6.17it/s] 100%|██████████| 12/12 [00:01<00:00, 6.27it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 6.81it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.51it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.48it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.42it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.38it/s] 50%|█████ | 6/12 [00:00<00:00, 6.25it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.17it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.13it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.18it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.22it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.26it/s] 100%|██████████| 12/12 [00:01<00:00, 6.22it/s] 100%|██████████| 12/12 [00:01<00:00, 6.27it/s] Decoding latents in cuda:0... done in 0.43s Move latents to cpu... done in 0.0s 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 6.78it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.58it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.50it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.44it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.38it/s] 50%|█████ | 6/12 [00:00<00:00, 6.25it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.17it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.13it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.20it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.22it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.23it/s] 100%|██████████| 12/12 [00:01<00:00, 6.18it/s] 100%|██████████| 12/12 [00:01<00:00, 6.26it/s] Decoding latents in cuda:0... done in 0.43s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
raw photo, black man in a straw hat, farm dirty clothes, a straw of wheat in your mouth, a field with bales in the background, a ranch, warm lighting, cosy atmosphere, Instagram style, 8k uhd, high quality, film grain
negative_prompt
Specify things to not see in the output
(deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation
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
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1659753865
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
25
cfg_scale
Scale for classifier-free guidance
5.5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
blessed2_fp16.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/8ef0b5cbcb264c14b0e4bf31e582c340/00000-1659753865.webp
https://files.tungsten.run/uploads/a9febeac4a884754b459b8387e5de789/00001-1659753866.webp
https://files.tungsten.run/uploads/df949dc7be1f4a96b98343feac9cf1de/00002-1659753867.webp
https://files.tungsten.run/uploads/2187b2321e464d2db5cc5a657654affa/00003-1659753868.webp
Finished in 43.9 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: raw photo, black man in a straw hat, farm dirty clothes, a straw of wheat in your mouth, a field with bales in the background, a ranch, warm lighting, cosy atmosphere, Instagram style, 8k uhd, high quality, film grain Full negative prompt: (deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:01<00:26, 1.12s/it] 8%|▊ | 2/25 [00:01<00:19, 1.15it/s] 12%|█▏ | 3/25 [00:02<00:17, 1.28it/s] 16%|█▌ | 4/25 [00:03<00:15, 1.34it/s] 20%|██ | 5/25 [00:03<00:14, 1.37it/s] 24%|██▍ | 6/25 [00:04<00:13, 1.40it/s] 28%|██▊ | 7/25 [00:05<00:12, 1.42it/s] 32%|███▏ | 8/25 [00:05<00:11, 1.42it/s] 36%|███▌ | 9/25 [00:06<00:11, 1.43it/s] 40%|████ | 10/25 [00:07<00:10, 1.44it/s] 44%|████▍ | 11/25 [00:08<00:09, 1.44it/s] 48%|████▊ | 12/25 [00:08<00:08, 1.45it/s] 52%|█████▏ | 13/25 [00:09<00:08, 1.45it/s] 56%|█████▌ | 14/25 [00:10<00:07, 1.44it/s] 60%|██████ | 15/25 [00:10<00:06, 1.44it/s] 64%|██████▍ | 16/25 [00:11<00:06, 1.45it/s] 68%|██████▊ | 17/25 [00:12<00:05, 1.44it/s] 72%|███████▏ | 18/25 [00:12<00:04, 1.45it/s] 76%|███████▌ | 19/25 [00:13<00:04, 1.45it/s] 80%|████████ | 20/25 [00:14<00:03, 1.45it/s] 84%|████████▍ | 21/25 [00:14<00:02, 1.45it/s] 88%|████████▊ | 22/25 [00:15<00:02, 1.45it/s] 92%|█████████▏| 23/25 [00:16<00:01, 1.45it/s] 96%|█████████▌| 24/25 [00:17<00:00, 1.44it/s] 100%|██████████| 25/25 [00:17<00:00, 1.44it/s] 100%|██████████| 25/25 [00:17<00:00, 1.41it/s] Decoding latents in cuda:0... done in 1.68s Move latents to cpu... done in 0.01s 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:03, 3.58it/s] 17%|█▋ | 2/12 [00:00<00:02, 4.88it/s] 25%|██▌ | 3/12 [00:00<00:01, 5.48it/s] 33%|███▎ | 4/12 [00:00<00:01, 5.84it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.02it/s] 50%|█████ | 6/12 [00:01<00:00, 6.05it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.04it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.05it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.13it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.19it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.21it/s] 100%|██████████| 12/12 [00:02<00:00, 6.17it/s] 100%|██████████| 12/12 [00:02<00:00, 5.90it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 6.86it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.58it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.50it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.42it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.39it/s] 50%|█████ | 6/12 [00:00<00:00, 6.28it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.21it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.18it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.23it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.25it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.27it/s] 100%|██████████| 12/12 [00:01<00:00, 6.25it/s] 100%|██████████| 12/12 [00:01<00:00, 6.31it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 6.81it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.55it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.49it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.45it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.42it/s] 50%|█████ | 6/12 [00:00<00:00, 6.29it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.23it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.16it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.20it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.24it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.25it/s] 100%|██████████| 12/12 [00:01<00:00, 6.20it/s] 100%|██████████| 12/12 [00:01<00:00, 6.29it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s [-] ADetailer: nothing detected on image 2 with 2nd settings. 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 6.81it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.62it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.54it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.43it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.40it/s] 50%|█████ | 6/12 [00:00<00:00, 6.29it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.20it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.14it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.19it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.21it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.23it/s] 100%|██████████| 12/12 [00:01<00:00, 6.18it/s] 100%|██████████| 12/12 [00:01<00:00, 6.27it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 6.59it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.43it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.43it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.41it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.25it/s] 50%|█████ | 6/12 [00:00<00:00, 6.16it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.15it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.19it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.25it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.27it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.23it/s] 100%|██████████| 12/12 [00:01<00:00, 6.20it/s] 100%|██████████| 12/12 [00:01<00:00, 6.25it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 6.76it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.53it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.48it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.42it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.41it/s] 50%|█████ | 6/12 [00:00<00:00, 6.32it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.23it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.15it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.19it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.19it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.20it/s] 100%|██████████| 12/12 [00:01<00:00, 6.17it/s] 100%|██████████| 12/12 [00:01<00:00, 6.27it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 6.81it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.51it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.48it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.42it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.38it/s] 50%|█████ | 6/12 [00:00<00:00, 6.25it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.17it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.13it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.18it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.22it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.26it/s] 100%|██████████| 12/12 [00:01<00:00, 6.22it/s] 100%|██████████| 12/12 [00:01<00:00, 6.27it/s] Decoding latents in cuda:0... done in 0.43s Move latents to cpu... done in 0.0s 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:01, 6.78it/s] 17%|█▋ | 2/12 [00:00<00:01, 6.58it/s] 25%|██▌ | 3/12 [00:00<00:01, 6.50it/s] 33%|███▎ | 4/12 [00:00<00:01, 6.44it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.38it/s] 50%|█████ | 6/12 [00:00<00:00, 6.25it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.17it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.13it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.20it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.22it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.23it/s] 100%|██████████| 12/12 [00:01<00:00, 6.18it/s] 100%|██████████| 12/12 [00:01<00:00, 6.26it/s] Decoding latents in cuda:0... done in 0.43s Move latents to cpu... done in 0.0s Uploading outputs... Finished.