Fight Scene with AW Painting
Input
prompt
Specify things to see in the output
Highly detailed, High Quality, Masterpiece, beautiful, Ki Charge, aura, fighting stance, full body, white aura, sentairanger, solo, black bodysuit, red armor, 1boy <lora:SentaiRanger-20:1>, red gloves <lora:more_details:1,5>
negative_prompt
Specify things to not see in the output
nude, ng_deepnegative_v1_75t, (bad-hands-5:1.2), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, ((monochrome)), ((grayscale)) watermark, moles, large breast, big breast
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
false
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
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1256557222
input_image
Base image that the output should be generated from. This is useful when you want to add some detail to input_image. For example, if prompt is "sunglasses" and input_image has a man, there is the man wearing sunglasses in the output.
input_image_redrawing_strength
How differ the output is from input_image. Used only when input_image is given.
0.55
reference_image
Image with which the output should share identity (e.g. face of a person or type of a dog)
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
1
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
1
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
1
sampler
Sampler type
DPM++ 2M Karras
samping_steps
Number of denoising steps
40
cfg_scale
Scale for classifier-free guidance
7
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/923af7355d374d3ba95c3ae26e7af089/00000-1256557222.webp
https://files.tungsten.run/uploads/448219527b1f46a4ac4ecd84314e025e/00001-1256557223.webp
https://files.tungsten.run/uploads/899e155323d04d499ff2167ae37d3e48/00002-1256557224.webp
https://files.tungsten.run/uploads/cd120be146f54d40b1c3d3a56aca9415/00003-1256557225.webp
Finished in 53.4 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: Highly detailed, High Quality, Masterpiece, beautiful, Ki Charge, aura, fighting stance, full body, white aura, sentairanger, solo, black bodysuit, red armor, 1boy <lora:SentaiRanger-20:1>, red gloves <lora:more_details:1,5> Full negative prompt: nude, ng_deepnegative_v1_75t, (bad-hands-5:1.2), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, ((monochrome)), ((grayscale)) watermark, moles, large breast, big breast activating extra network lora with arguments [<modules.extra_networks.ExtraNetworkParams object at 0x7f1421f67d30>, <modules.extra_networks.ExtraNetworkParams object at 0x7f1421f677c0>]: ValueError Traceback (most recent call last): File "/tungsten/modules/extra_networks.py", line 105, in activate extra_network.activate(p, extra_network_args) File "/tungsten/extensions-builtin/Lora/extra_networks_lora.py", line 25, in activate te_multiplier = float(params.positional[1]) if len(params.positional) > 1 else 1.0 ValueError: could not convert string to float: '1,5' 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:25, 1.56it/s] 5%|▌ | 2/40 [00:01<00:24, 1.54it/s] 8%|▊ | 3/40 [00:01<00:23, 1.55it/s] 10%|█ | 4/40 [00:02<00:23, 1.54it/s] 12%|█▎ | 5/40 [00:03<00:22, 1.54it/s] 15%|█▌ | 6/40 [00:03<00:22, 1.54it/s] 18%|█▊ | 7/40 [00:04<00:21, 1.54it/s] 20%|██ | 8/40 [00:05<00:20, 1.54it/s] 22%|██▎ | 9/40 [00:05<00:20, 1.54it/s] 25%|██▌ | 10/40 [00:06<00:19, 1.54it/s] 28%|██▊ | 11/40 [00:07<00:18, 1.53it/s] 30%|███ | 12/40 [00:07<00:18, 1.53it/s] 32%|███▎ | 13/40 [00:08<00:17, 1.53it/s] 35%|███▌ | 14/40 [00:09<00:17, 1.53it/s] 38%|███▊ | 15/40 [00:09<00:16, 1.53it/s] 40%|████ | 16/40 [00:10<00:15, 1.53it/s] 42%|████▎ | 17/40 [00:11<00:15, 1.52it/s] 45%|████▌ | 18/40 [00:11<00:14, 1.52it/s] 48%|████▊ | 19/40 [00:12<00:13, 1.52it/s] 50%|█████ | 20/40 [00:13<00:13, 1.52it/s] 52%|█████▎ | 21/40 [00:13<00:12, 1.52it/s] 55%|█████▌ | 22/40 [00:14<00:11, 1.52it/s] 57%|█████▊ | 23/40 [00:15<00:11, 1.52it/s] 60%|██████ | 24/40 [00:15<00:10, 1.52it/s] 62%|██████▎ | 25/40 [00:16<00:09, 1.52it/s] 65%|██████▌ | 26/40 [00:17<00:09, 1.52it/s] 68%|██████▊ | 27/40 [00:17<00:08, 1.51it/s] 70%|███████ | 28/40 [00:18<00:07, 1.52it/s] 72%|███████▎ | 29/40 [00:18<00:07, 1.51it/s] 75%|███████▌ | 30/40 [00:19<00:06, 1.51it/s] 78%|███████▊ | 31/40 [00:20<00:05, 1.51it/s] 80%|████████ | 32/40 [00:20<00:05, 1.51it/s] 82%|████████▎ | 33/40 [00:21<00:04, 1.51it/s] 85%|████████▌ | 34/40 [00:22<00:03, 1.51it/s] 88%|████████▊ | 35/40 [00:22<00:03, 1.51it/s] 90%|█████████ | 36/40 [00:23<00:02, 1.51it/s] 92%|█████████▎| 37/40 [00:24<00:01, 1.51it/s] 95%|█████████▌| 38/40 [00:24<00:01, 1.51it/s] 98%|█████████▊| 39/40 [00:25<00:00, 1.51it/s] 100%|██████████| 40/40 [00:26<00:00, 1.51it/s] 100%|██████████| 40/40 [00:26<00:00, 1.52it/s] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.3ms Speed: 3.1ms preprocess, 7.3ms inference, 31.4ms postprocess per image at shape (1, 3, 640, 640) activating extra network lora with arguments [<modules.extra_networks.ExtraNetworkParams object at 0x7f13f50ea110>, <modules.extra_networks.ExtraNetworkParams object at 0x7f13f50ea410>]: ValueError Traceback (most recent call last): File "/tungsten/modules/extra_networks.py", line 105, in activate extra_network.activate(p, extra_network_args) File "/tungsten/extensions-builtin/Lora/extra_networks_lora.py", line 25, in activate te_multiplier = float(params.positional[1]) if len(params.positional) > 1 else 1.0 ValueError: could not convert string to float: '1,5' 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:06, 3.36it/s] 9%|▊ | 2/23 [00:00<00:04, 4.74it/s] 13%|█▎ | 3/23 [00:00<00:03, 5.45it/s] 17%|█▋ | 4/23 [00:00<00:03, 5.85it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.11it/s] 26%|██▌ | 6/23 [00:01<00:02, 6.21it/s] 30%|███ | 7/23 [00:01<00:02, 6.24it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.28it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.35it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.42it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.47it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.47it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.45it/s] 61%|██████ | 14/23 [00:02<00:01, 6.40it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.41it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.46it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.48it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.49it/s] 83%|████████▎ | 19/23 [00:03<00:00, 6.47it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.43it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.44it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.46it/s] 100%|██████████| 23/23 [00:03<00:00, 6.50it/s] 100%|██████████| 23/23 [00:03<00:00, 6.24it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.6ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) activating extra network lora with arguments [<modules.extra_networks.ExtraNetworkParams object at 0x7f13f51b63e0>, <modules.extra_networks.ExtraNetworkParams object at 0x7f13f51b6380>]: ValueError Traceback (most recent call last): File "/tungsten/modules/extra_networks.py", line 105, in activate extra_network.activate(p, extra_network_args) File "/tungsten/extensions-builtin/Lora/extra_networks_lora.py", line 25, in activate te_multiplier = float(params.positional[1]) if len(params.positional) > 1 else 1.0 ValueError: could not convert string to float: '1,5' 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.97it/s] 9%|▊ | 2/23 [00:00<00:03, 6.73it/s] 13%|█▎ | 3/23 [00:00<00:02, 6.70it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.66it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.63it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.54it/s] 30%|███ | 7/23 [00:01<00:02, 6.47it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.44it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.46it/s] 43%|████▎ | 10/23 [00:01<00:01, 6.51it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.49it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.49it/s] 57%|█████▋ | 13/23 [00:01<00:01, 6.44it/s] 61%|██████ | 14/23 [00:02<00:01, 6.42it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.42it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.44it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.47it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.49it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.47it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.45it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.43it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.45it/s] 100%|██████████| 23/23 [00:03<00:00, 6.48it/s] 100%|██████████| 23/23 [00:03<00:00, 6.50it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) activating extra network lora with arguments [<modules.extra_networks.ExtraNetworkParams object at 0x7f13f4ee5210>, <modules.extra_networks.ExtraNetworkParams object at 0x7f13f4ee51e0>]: ValueError Traceback (most recent call last): File "/tungsten/modules/extra_networks.py", line 105, in activate extra_network.activate(p, extra_network_args) File "/tungsten/extensions-builtin/Lora/extra_networks_lora.py", line 25, in activate te_multiplier = float(params.positional[1]) if len(params.positional) > 1 else 1.0 ValueError: could not convert string to float: '1,5' 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.70it/s] 9%|▊ | 2/23 [00:00<00:03, 6.64it/s] 13%|█▎ | 3/23 [00:00<00:03, 6.61it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.61it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.60it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.51it/s] 30%|███ | 7/23 [00:01<00:02, 6.43it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.42it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.46it/s] 43%|████▎ | 10/23 [00:01<00:01, 6.50it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.53it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.51it/s] 57%|█████▋ | 13/23 [00:01<00:01, 6.47it/s] 61%|██████ | 14/23 [00:02<00:01, 6.42it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.42it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.45it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.48it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.47it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.47it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.44it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.44it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.43it/s] 100%|██████████| 23/23 [00:03<00:00, 6.47it/s] 100%|██████████| 23/23 [00:03<00:00, 6.48it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 2.7ms preprocess, 7.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) activating extra network lora with arguments [<modules.extra_networks.ExtraNetworkParams object at 0x7f13f4dee020>, <modules.extra_networks.ExtraNetworkParams object at 0x7f13f4deda20>]: ValueError Traceback (most recent call last): File "/tungsten/modules/extra_networks.py", line 105, in activate extra_network.activate(p, extra_network_args) File "/tungsten/extensions-builtin/Lora/extra_networks_lora.py", line 25, in activate te_multiplier = float(params.positional[1]) if len(params.positional) > 1 else 1.0 ValueError: could not convert string to float: '1,5' 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.95it/s] 9%|▊ | 2/23 [00:00<00:03, 6.72it/s] 13%|█▎ | 3/23 [00:00<00:03, 6.64it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.63it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.62it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.54it/s] 30%|███ | 7/23 [00:01<00:02, 6.45it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.43it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.44it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.47it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.49it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.49it/s] 57%|█████▋ | 13/23 [00:01<00:01, 6.47it/s] 61%|██████ | 14/23 [00:02<00:01, 6.42it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.44it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.46it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.48it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.49it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.47it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.43it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.44it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.43it/s] 100%|██████████| 23/23 [00:03<00:00, 6.48it/s] 100%|██████████| 23/23 [00:03<00:00, 6.49it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Finished.
prompt
Specify things to see in the output
Highly detailed, High Quality, Masterpiece, beautiful, Ki Charge, aura, fighting stance, full body, white aura, sentairanger, solo, black bodysuit, red armor, 1boy <lora:SentaiRanger-20:1>, red gloves <lora:more_details:1,5>
negative_prompt
Specify things to not see in the output
nude, ng_deepnegative_v1_75t, (bad-hands-5:1.2), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, ((monochrome)), ((grayscale)) watermark, moles, large breast, big breast
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
false
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
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1256557222
input_image
Base image that the output should be generated from. This is useful when you want to add some detail to input_image. For example, if prompt is "sunglasses" and input_image has a man, there is the man wearing sunglasses in the output.
input_image_redrawing_strength
How differ the output is from input_image. Used only when input_image is given.
0.55
reference_image
Image with which the output should share identity (e.g. face of a person or type of a dog)
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
1
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
1
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
1
sampler
Sampler type
DPM++ 2M Karras
samping_steps
Number of denoising steps
40
cfg_scale
Scale for classifier-free guidance
7
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/923af7355d374d3ba95c3ae26e7af089/00000-1256557222.webp
https://files.tungsten.run/uploads/448219527b1f46a4ac4ecd84314e025e/00001-1256557223.webp
https://files.tungsten.run/uploads/899e155323d04d499ff2167ae37d3e48/00002-1256557224.webp
https://files.tungsten.run/uploads/cd120be146f54d40b1c3d3a56aca9415/00003-1256557225.webp
Finished in 53.4 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: Highly detailed, High Quality, Masterpiece, beautiful, Ki Charge, aura, fighting stance, full body, white aura, sentairanger, solo, black bodysuit, red armor, 1boy <lora:SentaiRanger-20:1>, red gloves <lora:more_details:1,5> Full negative prompt: nude, ng_deepnegative_v1_75t, (bad-hands-5:1.2), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, ((monochrome)), ((grayscale)) watermark, moles, large breast, big breast activating extra network lora with arguments [<modules.extra_networks.ExtraNetworkParams object at 0x7f1421f67d30>, <modules.extra_networks.ExtraNetworkParams object at 0x7f1421f677c0>]: ValueError Traceback (most recent call last): File "/tungsten/modules/extra_networks.py", line 105, in activate extra_network.activate(p, extra_network_args) File "/tungsten/extensions-builtin/Lora/extra_networks_lora.py", line 25, in activate te_multiplier = float(params.positional[1]) if len(params.positional) > 1 else 1.0 ValueError: could not convert string to float: '1,5' 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:25, 1.56it/s] 5%|▌ | 2/40 [00:01<00:24, 1.54it/s] 8%|▊ | 3/40 [00:01<00:23, 1.55it/s] 10%|█ | 4/40 [00:02<00:23, 1.54it/s] 12%|█▎ | 5/40 [00:03<00:22, 1.54it/s] 15%|█▌ | 6/40 [00:03<00:22, 1.54it/s] 18%|█▊ | 7/40 [00:04<00:21, 1.54it/s] 20%|██ | 8/40 [00:05<00:20, 1.54it/s] 22%|██▎ | 9/40 [00:05<00:20, 1.54it/s] 25%|██▌ | 10/40 [00:06<00:19, 1.54it/s] 28%|██▊ | 11/40 [00:07<00:18, 1.53it/s] 30%|███ | 12/40 [00:07<00:18, 1.53it/s] 32%|███▎ | 13/40 [00:08<00:17, 1.53it/s] 35%|███▌ | 14/40 [00:09<00:17, 1.53it/s] 38%|███▊ | 15/40 [00:09<00:16, 1.53it/s] 40%|████ | 16/40 [00:10<00:15, 1.53it/s] 42%|████▎ | 17/40 [00:11<00:15, 1.52it/s] 45%|████▌ | 18/40 [00:11<00:14, 1.52it/s] 48%|████▊ | 19/40 [00:12<00:13, 1.52it/s] 50%|█████ | 20/40 [00:13<00:13, 1.52it/s] 52%|█████▎ | 21/40 [00:13<00:12, 1.52it/s] 55%|█████▌ | 22/40 [00:14<00:11, 1.52it/s] 57%|█████▊ | 23/40 [00:15<00:11, 1.52it/s] 60%|██████ | 24/40 [00:15<00:10, 1.52it/s] 62%|██████▎ | 25/40 [00:16<00:09, 1.52it/s] 65%|██████▌ | 26/40 [00:17<00:09, 1.52it/s] 68%|██████▊ | 27/40 [00:17<00:08, 1.51it/s] 70%|███████ | 28/40 [00:18<00:07, 1.52it/s] 72%|███████▎ | 29/40 [00:18<00:07, 1.51it/s] 75%|███████▌ | 30/40 [00:19<00:06, 1.51it/s] 78%|███████▊ | 31/40 [00:20<00:05, 1.51it/s] 80%|████████ | 32/40 [00:20<00:05, 1.51it/s] 82%|████████▎ | 33/40 [00:21<00:04, 1.51it/s] 85%|████████▌ | 34/40 [00:22<00:03, 1.51it/s] 88%|████████▊ | 35/40 [00:22<00:03, 1.51it/s] 90%|█████████ | 36/40 [00:23<00:02, 1.51it/s] 92%|█████████▎| 37/40 [00:24<00:01, 1.51it/s] 95%|█████████▌| 38/40 [00:24<00:01, 1.51it/s] 98%|█████████▊| 39/40 [00:25<00:00, 1.51it/s] 100%|██████████| 40/40 [00:26<00:00, 1.51it/s] 100%|██████████| 40/40 [00:26<00:00, 1.52it/s] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.3ms Speed: 3.1ms preprocess, 7.3ms inference, 31.4ms postprocess per image at shape (1, 3, 640, 640) activating extra network lora with arguments [<modules.extra_networks.ExtraNetworkParams object at 0x7f13f50ea110>, <modules.extra_networks.ExtraNetworkParams object at 0x7f13f50ea410>]: ValueError Traceback (most recent call last): File "/tungsten/modules/extra_networks.py", line 105, in activate extra_network.activate(p, extra_network_args) File "/tungsten/extensions-builtin/Lora/extra_networks_lora.py", line 25, in activate te_multiplier = float(params.positional[1]) if len(params.positional) > 1 else 1.0 ValueError: could not convert string to float: '1,5' 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:06, 3.36it/s] 9%|▊ | 2/23 [00:00<00:04, 4.74it/s] 13%|█▎ | 3/23 [00:00<00:03, 5.45it/s] 17%|█▋ | 4/23 [00:00<00:03, 5.85it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.11it/s] 26%|██▌ | 6/23 [00:01<00:02, 6.21it/s] 30%|███ | 7/23 [00:01<00:02, 6.24it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.28it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.35it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.42it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.47it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.47it/s] 57%|█████▋ | 13/23 [00:02<00:01, 6.45it/s] 61%|██████ | 14/23 [00:02<00:01, 6.40it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.41it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.46it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.48it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.49it/s] 83%|████████▎ | 19/23 [00:03<00:00, 6.47it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.43it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.44it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.46it/s] 100%|██████████| 23/23 [00:03<00:00, 6.50it/s] 100%|██████████| 23/23 [00:03<00:00, 6.24it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.6ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) activating extra network lora with arguments [<modules.extra_networks.ExtraNetworkParams object at 0x7f13f51b63e0>, <modules.extra_networks.ExtraNetworkParams object at 0x7f13f51b6380>]: ValueError Traceback (most recent call last): File "/tungsten/modules/extra_networks.py", line 105, in activate extra_network.activate(p, extra_network_args) File "/tungsten/extensions-builtin/Lora/extra_networks_lora.py", line 25, in activate te_multiplier = float(params.positional[1]) if len(params.positional) > 1 else 1.0 ValueError: could not convert string to float: '1,5' 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.97it/s] 9%|▊ | 2/23 [00:00<00:03, 6.73it/s] 13%|█▎ | 3/23 [00:00<00:02, 6.70it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.66it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.63it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.54it/s] 30%|███ | 7/23 [00:01<00:02, 6.47it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.44it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.46it/s] 43%|████▎ | 10/23 [00:01<00:01, 6.51it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.49it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.49it/s] 57%|█████▋ | 13/23 [00:01<00:01, 6.44it/s] 61%|██████ | 14/23 [00:02<00:01, 6.42it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.42it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.44it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.47it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.49it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.47it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.45it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.43it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.45it/s] 100%|██████████| 23/23 [00:03<00:00, 6.48it/s] 100%|██████████| 23/23 [00:03<00:00, 6.50it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) activating extra network lora with arguments [<modules.extra_networks.ExtraNetworkParams object at 0x7f13f4ee5210>, <modules.extra_networks.ExtraNetworkParams object at 0x7f13f4ee51e0>]: ValueError Traceback (most recent call last): File "/tungsten/modules/extra_networks.py", line 105, in activate extra_network.activate(p, extra_network_args) File "/tungsten/extensions-builtin/Lora/extra_networks_lora.py", line 25, in activate te_multiplier = float(params.positional[1]) if len(params.positional) > 1 else 1.0 ValueError: could not convert string to float: '1,5' 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.70it/s] 9%|▊ | 2/23 [00:00<00:03, 6.64it/s] 13%|█▎ | 3/23 [00:00<00:03, 6.61it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.61it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.60it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.51it/s] 30%|███ | 7/23 [00:01<00:02, 6.43it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.42it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.46it/s] 43%|████▎ | 10/23 [00:01<00:01, 6.50it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.53it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.51it/s] 57%|█████▋ | 13/23 [00:01<00:01, 6.47it/s] 61%|██████ | 14/23 [00:02<00:01, 6.42it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.42it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.45it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.48it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.47it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.47it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.44it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.44it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.43it/s] 100%|██████████| 23/23 [00:03<00:00, 6.47it/s] 100%|██████████| 23/23 [00:03<00:00, 6.48it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 2.7ms preprocess, 7.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) activating extra network lora with arguments [<modules.extra_networks.ExtraNetworkParams object at 0x7f13f4dee020>, <modules.extra_networks.ExtraNetworkParams object at 0x7f13f4deda20>]: ValueError Traceback (most recent call last): File "/tungsten/modules/extra_networks.py", line 105, in activate extra_network.activate(p, extra_network_args) File "/tungsten/extensions-builtin/Lora/extra_networks_lora.py", line 25, in activate te_multiplier = float(params.positional[1]) if len(params.positional) > 1 else 1.0 ValueError: could not convert string to float: '1,5' 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:03, 6.95it/s] 9%|▊ | 2/23 [00:00<00:03, 6.72it/s] 13%|█▎ | 3/23 [00:00<00:03, 6.64it/s] 17%|█▋ | 4/23 [00:00<00:02, 6.63it/s] 22%|██▏ | 5/23 [00:00<00:02, 6.62it/s] 26%|██▌ | 6/23 [00:00<00:02, 6.54it/s] 30%|███ | 7/23 [00:01<00:02, 6.45it/s] 35%|███▍ | 8/23 [00:01<00:02, 6.43it/s] 39%|███▉ | 9/23 [00:01<00:02, 6.44it/s] 43%|████▎ | 10/23 [00:01<00:02, 6.47it/s] 48%|████▊ | 11/23 [00:01<00:01, 6.49it/s] 52%|█████▏ | 12/23 [00:01<00:01, 6.49it/s] 57%|█████▋ | 13/23 [00:01<00:01, 6.47it/s] 61%|██████ | 14/23 [00:02<00:01, 6.42it/s] 65%|██████▌ | 15/23 [00:02<00:01, 6.44it/s] 70%|██████▉ | 16/23 [00:02<00:01, 6.46it/s] 74%|███████▍ | 17/23 [00:02<00:00, 6.48it/s] 78%|███████▊ | 18/23 [00:02<00:00, 6.49it/s] 83%|████████▎ | 19/23 [00:02<00:00, 6.47it/s] 87%|████████▋ | 20/23 [00:03<00:00, 6.43it/s] 91%|█████████▏| 21/23 [00:03<00:00, 6.44it/s] 96%|█████████▌| 22/23 [00:03<00:00, 6.43it/s] 100%|██████████| 23/23 [00:03<00:00, 6.48it/s] 100%|██████████| 23/23 [00:03<00:00, 6.49it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Finished.