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dubois-c
dubois-c

dubois-c

4 stars
Version: v5.0
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.
Sign in to run this model for free!
Output
https://files.tungsten.run/uploads/3c4935a117a045ecb2af5c68082289f9/00000-668872856.webp
https://files.tungsten.run/uploads/55892984ec2a42d89b5af4ccad30aa69/00001-668872857.webp
https://files.tungsten.run/uploads/9214b035644a4d54bafd851bcbe11e3f/00002-668872858.webp
https://files.tungsten.run/uploads/ce15e7a7a7e64fecbb9dccba99e757d1/00003-668872859.webp
This example was created by evevalentine2017
Finished in 150.8 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: (ultra realistic), (masterpiece), (best quality), (ultra detailed), wide shot, long hair, atmospheric scene, cinematic lightning, shiny skin, blue eyes, glowing eyes, masterpiece, 1 girl, medium breasts, suggestive smile, lips parted, young woman, looking at viewer, two sides up, front, thick curvy thighs, midriff,wearing micro miniskirt, horns, elbow gloves, choker, narrow beltbra, (striped stockings:1.125), platform heels, (brandishing a cleaver:1.15), long hair, all black clothing, threatening stance, detailed hellscape background, 3d character, shiny lips, thick lips, volumetric light, (detailed skin texture, ultra detailed body), 5AN4G1N4I, <lora:more_details:0.8>, <lora:5AN4G1N4I:1>, Full negative prompt: (missing tail), portrait, close-up, (worst quality, bad quality:1.6), (bad finger, extra finger, mutated fingers, duplicate finger, deformed finger:2), overexposed, underexposed, watermark, (normal quality), lowres, monochrome, greyscale, bad anatomy, bad face, pixelated, mutated hands, bad_prompt_version2, BeyondV3-neg, NG_DeepNegative_V1_75T, deformed hands, easynegative, multiple hand, missing hand, poorly drawn hand, extra limbs, secondary character loading network /tungsten/models/Lora/5AN4G1N4I.pt: ValueError Traceback (most recent call last): File "/tungsten/extensions-builtin/Lora/networks.py", line 223, in load_networks net = load_network(name, network_on_disk) File "/tungsten/extensions-builtin/Lora/networks.py", line 148, in load_network key_network_without_network_parts, network_part = key_network.split(".", 1) ValueError: not enough values to unpack (expected 2, got 1) 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:03<01:31, 3.14s/it] 7%|▋ | 2/30 [00:07<01:39, 3.57s/it] 10%|█ | 3/30 [00:10<01:38, 3.63s/it] 13%|█▎ | 4/30 [00:14<01:33, 3.61s/it] 17%|█▋ | 5/30 [00:17<01:30, 3.62s/it] 20%|██ | 6/30 [00:21<01:27, 3.64s/it] 23%|██▎ | 7/30 [00:25<01:23, 3.63s/it] 27%|██▋ | 8/30 [00:28<01:18, 3.56s/it] 30%|███ | 9/30 [00:32<01:15, 3.59s/it] 33%|███▎ | 10/30 [00:35<01:11, 3.59s/it] 37%|███▋ | 11/30 [00:39<01:07, 3.54s/it] 40%|████ | 12/30 [00:42<01:02, 3.48s/it] 43%|████▎ | 13/30 [00:46<01:00, 3.53s/it] 47%|████▋ | 14/30 [00:48<00:52, 3.27s/it] 50%|█████ | 15/30 [00:51<00:46, 3.08s/it] 53%|█████▎ | 16/30 [00:54<00:42, 3.00s/it] 57%|█████▋ | 17/30 [00:57<00:37, 2.90s/it] 60%|██████ | 18/30 [01:00<00:36, 3.02s/it] 63%|██████▎ | 19/30 [01:03<00:33, 3.09s/it] 67%|██████▋ | 20/30 [01:06<00:30, 3.01s/it] 70%|███████ | 21/30 [01:09<00:28, 3.12s/it] 73%|███████▎ | 22/30 [01:13<00:25, 3.16s/it] 77%|███████▋ | 23/30 [01:15<00:20, 2.96s/it] 80%|████████ | 24/30 [01:18<00:17, 2.83s/it] 83%|████████▎ | 25/30 [01:21<00:14, 2.95s/it] 87%|████████▋ | 26/30 [01:24<00:11, 2.98s/it] 90%|█████████ | 27/30 [01:27<00:08, 2.92s/it] 93%|█████████▎| 28/30 [01:29<00:05, 2.84s/it] 97%|█████████▋| 29/30 [01:31<00:02, 2.57s/it] 100%|██████████| 30/30 [01:32<00:00, 2.01s/it] 100%|██████████| 30/30 [01:32<00:00, 3.08s/it] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.6ms Speed: 3.6ms preprocess, 7.6ms inference, 24.2ms postprocess per image at shape (1, 3, 640, 640) loading network /tungsten/models/Lora/5AN4G1N4I.pt: ValueError Traceback (most recent call last): File "/tungsten/extensions-builtin/Lora/networks.py", line 223, in load_networks net = load_network(name, network_on_disk) File "/tungsten/extensions-builtin/Lora/networks.py", line 148, in load_network key_network_without_network_parts, network_part = key_network.split(".", 1) ValueError: not enough values to unpack (expected 2, got 1) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:12, 1.23it/s] 12%|█▏ | 2/17 [00:01<00:10, 1.40it/s] 18%|█▊ | 3/17 [00:02<00:09, 1.45it/s] 24%|██▎ | 4/17 [00:02<00:08, 1.50it/s] 29%|██▉ | 5/17 [00:03<00:08, 1.41it/s] 35%|███▌ | 6/17 [00:04<00:08, 1.36it/s] 41%|████ | 7/17 [00:04<00:07, 1.40it/s] 47%|████▋ | 8/17 [00:05<00:06, 1.35it/s] 53%|█████▎ | 9/17 [00:06<00:05, 1.34it/s] 59%|█████▉ | 10/17 [00:07<00:04, 1.43it/s] 65%|██████▍ | 11/17 [00:07<00:04, 1.50it/s] 71%|███████ | 12/17 [00:08<00:03, 1.44it/s] 76%|███████▋ | 13/17 [00:09<00:02, 1.42it/s] 82%|████████▏ | 14/17 [00:09<00:02, 1.45it/s] 88%|████████▊ | 15/17 [00:10<00:01, 1.50it/s] 94%|█████████▍| 16/17 [00:10<00:00, 1.67it/s] 100%|██████████| 17/17 [00:11<00:00, 2.15it/s] 100%|██████████| 17/17 [00:11<00:00, 1.53it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 9.4ms Speed: 3.4ms preprocess, 9.4ms inference, 2.2ms postprocess per image at shape (1, 3, 640, 640) loading network /tungsten/models/Lora/5AN4G1N4I.pt: ValueError Traceback (most recent call last): File "/tungsten/extensions-builtin/Lora/networks.py", line 223, in load_networks net = load_network(name, network_on_disk) File "/tungsten/extensions-builtin/Lora/networks.py", line 148, in load_network key_network_without_network_parts, network_part = key_network.split(".", 1) ValueError: not enough values to unpack (expected 2, got 1) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:10, 1.51it/s] 12%|█▏ | 2/17 [00:01<00:09, 1.52it/s] 18%|█▊ | 3/17 [00:01<00:09, 1.51it/s] 24%|██▎ | 4/17 [00:02<00:08, 1.51it/s] 29%|██▉ | 5/17 [00:03<00:08, 1.42it/s] 35%|███▌ | 6/17 [00:04<00:08, 1.37it/s] 41%|████ | 7/17 [00:04<00:07, 1.41it/s] 47%|████▋ | 8/17 [00:05<00:06, 1.34it/s] 53%|█████▎ | 9/17 [00:06<00:06, 1.32it/s] 59%|█████▉ | 10/17 [00:07<00:04, 1.41it/s] 65%|██████▍ | 11/17 [00:07<00:04, 1.47it/s] 71%|███████ | 12/17 [00:08<00:03, 1.41it/s] 76%|███████▋ | 13/17 [00:09<00:02, 1.40it/s] 82%|████████▏ | 14/17 [00:09<00:02, 1.43it/s] 88%|████████▊ | 15/17 [00:10<00:01, 1.47it/s] 94%|█████████▍| 16/17 [00:10<00:00, 1.63it/s] 100%|██████████| 17/17 [00:11<00:00, 2.10it/s] 100%|██████████| 17/17 [00:11<00:00, 1.53it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.3ms Speed: 4.4ms preprocess, 8.3ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) loading network /tungsten/models/Lora/5AN4G1N4I.pt: ValueError Traceback (most recent call last): File "/tungsten/extensions-builtin/Lora/networks.py", line 223, in load_networks net = load_network(name, network_on_disk) File "/tungsten/extensions-builtin/Lora/networks.py", line 148, in load_network key_network_without_network_parts, network_part = key_network.split(".", 1) ValueError: not enough values to unpack (expected 2, got 1) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:10, 1.55it/s] 12%|█▏ | 2/17 [00:01<00:09, 1.58it/s] 18%|█▊ | 3/17 [00:01<00:09, 1.54it/s] 24%|██▎ | 4/17 [00:02<00:08, 1.55it/s] 29%|██▉ | 5/17 [00:03<00:08, 1.44it/s] 35%|███▌ | 6/17 [00:04<00:08, 1.36it/s] 41%|████ | 7/17 [00:04<00:07, 1.39it/s] 47%|████▋ | 8/17 [00:05<00:06, 1.33it/s] 53%|█████▎ | 9/17 [00:06<00:06, 1.33it/s] 59%|█████▉ | 10/17 [00:07<00:04, 1.42it/s] 65%|██████▍ | 11/17 [00:07<00:04, 1.48it/s] 71%|███████ | 12/17 [00:08<00:03, 1.42it/s] 76%|███████▋ | 13/17 [00:09<00:02, 1.41it/s] 82%|████████▏ | 14/17 [00:09<00:02, 1.44it/s] 88%|████████▊ | 15/17 [00:10<00:01, 1.49it/s] 94%|█████████▍| 16/17 [00:10<00:00, 1.64it/s] 100%|██████████| 17/17 [00:11<00:00, 2.11it/s] 100%|██████████| 17/17 [00:11<00:00, 1.54it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 3.1ms preprocess, 7.4ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) loading network /tungsten/models/Lora/5AN4G1N4I.pt: ValueError Traceback (most recent call last): File "/tungsten/extensions-builtin/Lora/networks.py", line 223, in load_networks net = load_network(name, network_on_disk) File "/tungsten/extensions-builtin/Lora/networks.py", line 148, in load_network key_network_without_network_parts, network_part = key_network.split(".", 1) ValueError: not enough values to unpack (expected 2, got 1) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:10, 1.55it/s] 12%|█▏ | 2/17 [00:01<00:09, 1.57it/s] 18%|█▊ | 3/17 [00:01<00:09, 1.52it/s] 24%|██▎ | 4/17 [00:02<00:08, 1.51it/s] 29%|██▉ | 5/17 [00:03<00:08, 1.43it/s] 35%|███▌ | 6/17 [00:04<00:08, 1.37it/s] 41%|████ | 7/17 [00:04<00:07, 1.40it/s] 47%|████▋ | 8/17 [00:05<00:06, 1.35it/s] 53%|█████▎ | 9/17 [00:06<00:05, 1.34it/s] 59%|█████▉ | 10/17 [00:07<00:04, 1.43it/s] 65%|██████▍ | 11/17 [00:07<00:04, 1.49it/s] 71%|███████ | 12/17 [00:08<00:03, 1.43it/s] 76%|███████▋ | 13/17 [00:09<00:02, 1.41it/s] 82%|████████▏ | 14/17 [00:09<00:02, 1.45it/s] 88%|████████▊ | 15/17 [00:10<00:01, 1.50it/s]
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/3c4935a117a045ecb2af5c68082289f9/00000-668872856.webp
https://files.tungsten.run/uploads/55892984ec2a42d89b5af4ccad30aa69/00001-668872857.webp
https://files.tungsten.run/uploads/9214b035644a4d54bafd851bcbe11e3f/00002-668872858.webp
https://files.tungsten.run/uploads/ce15e7a7a7e64fecbb9dccba99e757d1/00003-668872859.webp
This example was created by evevalentine2017
Finished in 150.8 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: (ultra realistic), (masterpiece), (best quality), (ultra detailed), wide shot, long hair, atmospheric scene, cinematic lightning, shiny skin, blue eyes, glowing eyes, masterpiece, 1 girl, medium breasts, suggestive smile, lips parted, young woman, looking at viewer, two sides up, front, thick curvy thighs, midriff,wearing micro miniskirt, horns, elbow gloves, choker, narrow beltbra, (striped stockings:1.125), platform heels, (brandishing a cleaver:1.15), long hair, all black clothing, threatening stance, detailed hellscape background, 3d character, shiny lips, thick lips, volumetric light, (detailed skin texture, ultra detailed body), 5AN4G1N4I, <lora:more_details:0.8>, <lora:5AN4G1N4I:1>, Full negative prompt: (missing tail), portrait, close-up, (worst quality, bad quality:1.6), (bad finger, extra finger, mutated fingers, duplicate finger, deformed finger:2), overexposed, underexposed, watermark, (normal quality), lowres, monochrome, greyscale, bad anatomy, bad face, pixelated, mutated hands, bad_prompt_version2, BeyondV3-neg, NG_DeepNegative_V1_75T, deformed hands, easynegative, multiple hand, missing hand, poorly drawn hand, extra limbs, secondary character loading network /tungsten/models/Lora/5AN4G1N4I.pt: ValueError Traceback (most recent call last): File "/tungsten/extensions-builtin/Lora/networks.py", line 223, in load_networks net = load_network(name, network_on_disk) File "/tungsten/extensions-builtin/Lora/networks.py", line 148, in load_network key_network_without_network_parts, network_part = key_network.split(".", 1) ValueError: not enough values to unpack (expected 2, got 1) 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:03<01:31, 3.14s/it] 7%|▋ | 2/30 [00:07<01:39, 3.57s/it] 10%|█ | 3/30 [00:10<01:38, 3.63s/it] 13%|█▎ | 4/30 [00:14<01:33, 3.61s/it] 17%|█▋ | 5/30 [00:17<01:30, 3.62s/it] 20%|██ | 6/30 [00:21<01:27, 3.64s/it] 23%|██▎ | 7/30 [00:25<01:23, 3.63s/it] 27%|██▋ | 8/30 [00:28<01:18, 3.56s/it] 30%|███ | 9/30 [00:32<01:15, 3.59s/it] 33%|███▎ | 10/30 [00:35<01:11, 3.59s/it] 37%|███▋ | 11/30 [00:39<01:07, 3.54s/it] 40%|████ | 12/30 [00:42<01:02, 3.48s/it] 43%|████▎ | 13/30 [00:46<01:00, 3.53s/it] 47%|████▋ | 14/30 [00:48<00:52, 3.27s/it] 50%|█████ | 15/30 [00:51<00:46, 3.08s/it] 53%|█████▎ | 16/30 [00:54<00:42, 3.00s/it] 57%|█████▋ | 17/30 [00:57<00:37, 2.90s/it] 60%|██████ | 18/30 [01:00<00:36, 3.02s/it] 63%|██████▎ | 19/30 [01:03<00:33, 3.09s/it] 67%|██████▋ | 20/30 [01:06<00:30, 3.01s/it] 70%|███████ | 21/30 [01:09<00:28, 3.12s/it] 73%|███████▎ | 22/30 [01:13<00:25, 3.16s/it] 77%|███████▋ | 23/30 [01:15<00:20, 2.96s/it] 80%|████████ | 24/30 [01:18<00:17, 2.83s/it] 83%|████████▎ | 25/30 [01:21<00:14, 2.95s/it] 87%|████████▋ | 26/30 [01:24<00:11, 2.98s/it] 90%|█████████ | 27/30 [01:27<00:08, 2.92s/it] 93%|█████████▎| 28/30 [01:29<00:05, 2.84s/it] 97%|█████████▋| 29/30 [01:31<00:02, 2.57s/it] 100%|██████████| 30/30 [01:32<00:00, 2.01s/it] 100%|██████████| 30/30 [01:32<00:00, 3.08s/it] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.6ms Speed: 3.6ms preprocess, 7.6ms inference, 24.2ms postprocess per image at shape (1, 3, 640, 640) loading network /tungsten/models/Lora/5AN4G1N4I.pt: ValueError Traceback (most recent call last): File "/tungsten/extensions-builtin/Lora/networks.py", line 223, in load_networks net = load_network(name, network_on_disk) File "/tungsten/extensions-builtin/Lora/networks.py", line 148, in load_network key_network_without_network_parts, network_part = key_network.split(".", 1) ValueError: not enough values to unpack (expected 2, got 1) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:12, 1.23it/s] 12%|█▏ | 2/17 [00:01<00:10, 1.40it/s] 18%|█▊ | 3/17 [00:02<00:09, 1.45it/s] 24%|██▎ | 4/17 [00:02<00:08, 1.50it/s] 29%|██▉ | 5/17 [00:03<00:08, 1.41it/s] 35%|███▌ | 6/17 [00:04<00:08, 1.36it/s] 41%|████ | 7/17 [00:04<00:07, 1.40it/s] 47%|████▋ | 8/17 [00:05<00:06, 1.35it/s] 53%|█████▎ | 9/17 [00:06<00:05, 1.34it/s] 59%|█████▉ | 10/17 [00:07<00:04, 1.43it/s] 65%|██████▍ | 11/17 [00:07<00:04, 1.50it/s] 71%|███████ | 12/17 [00:08<00:03, 1.44it/s] 76%|███████▋ | 13/17 [00:09<00:02, 1.42it/s] 82%|████████▏ | 14/17 [00:09<00:02, 1.45it/s] 88%|████████▊ | 15/17 [00:10<00:01, 1.50it/s] 94%|█████████▍| 16/17 [00:10<00:00, 1.67it/s] 100%|██████████| 17/17 [00:11<00:00, 2.15it/s] 100%|██████████| 17/17 [00:11<00:00, 1.53it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 9.4ms Speed: 3.4ms preprocess, 9.4ms inference, 2.2ms postprocess per image at shape (1, 3, 640, 640) loading network /tungsten/models/Lora/5AN4G1N4I.pt: ValueError Traceback (most recent call last): File "/tungsten/extensions-builtin/Lora/networks.py", line 223, in load_networks net = load_network(name, network_on_disk) File "/tungsten/extensions-builtin/Lora/networks.py", line 148, in load_network key_network_without_network_parts, network_part = key_network.split(".", 1) ValueError: not enough values to unpack (expected 2, got 1) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:10, 1.51it/s] 12%|█▏ | 2/17 [00:01<00:09, 1.52it/s] 18%|█▊ | 3/17 [00:01<00:09, 1.51it/s] 24%|██▎ | 4/17 [00:02<00:08, 1.51it/s] 29%|██▉ | 5/17 [00:03<00:08, 1.42it/s] 35%|███▌ | 6/17 [00:04<00:08, 1.37it/s] 41%|████ | 7/17 [00:04<00:07, 1.41it/s] 47%|████▋ | 8/17 [00:05<00:06, 1.34it/s] 53%|█████▎ | 9/17 [00:06<00:06, 1.32it/s] 59%|█████▉ | 10/17 [00:07<00:04, 1.41it/s] 65%|██████▍ | 11/17 [00:07<00:04, 1.47it/s] 71%|███████ | 12/17 [00:08<00:03, 1.41it/s] 76%|███████▋ | 13/17 [00:09<00:02, 1.40it/s] 82%|████████▏ | 14/17 [00:09<00:02, 1.43it/s] 88%|████████▊ | 15/17 [00:10<00:01, 1.47it/s] 94%|█████████▍| 16/17 [00:10<00:00, 1.63it/s] 100%|██████████| 17/17 [00:11<00:00, 2.10it/s] 100%|██████████| 17/17 [00:11<00:00, 1.53it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.3ms Speed: 4.4ms preprocess, 8.3ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) loading network /tungsten/models/Lora/5AN4G1N4I.pt: ValueError Traceback (most recent call last): File "/tungsten/extensions-builtin/Lora/networks.py", line 223, in load_networks net = load_network(name, network_on_disk) File "/tungsten/extensions-builtin/Lora/networks.py", line 148, in load_network key_network_without_network_parts, network_part = key_network.split(".", 1) ValueError: not enough values to unpack (expected 2, got 1) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:10, 1.55it/s] 12%|█▏ | 2/17 [00:01<00:09, 1.58it/s] 18%|█▊ | 3/17 [00:01<00:09, 1.54it/s] 24%|██▎ | 4/17 [00:02<00:08, 1.55it/s] 29%|██▉ | 5/17 [00:03<00:08, 1.44it/s] 35%|███▌ | 6/17 [00:04<00:08, 1.36it/s] 41%|████ | 7/17 [00:04<00:07, 1.39it/s] 47%|████▋ | 8/17 [00:05<00:06, 1.33it/s] 53%|█████▎ | 9/17 [00:06<00:06, 1.33it/s] 59%|█████▉ | 10/17 [00:07<00:04, 1.42it/s] 65%|██████▍ | 11/17 [00:07<00:04, 1.48it/s] 71%|███████ | 12/17 [00:08<00:03, 1.42it/s] 76%|███████▋ | 13/17 [00:09<00:02, 1.41it/s] 82%|████████▏ | 14/17 [00:09<00:02, 1.44it/s] 88%|████████▊ | 15/17 [00:10<00:01, 1.49it/s] 94%|█████████▍| 16/17 [00:10<00:00, 1.64it/s] 100%|██████████| 17/17 [00:11<00:00, 2.11it/s] 100%|██████████| 17/17 [00:11<00:00, 1.54it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 3.1ms preprocess, 7.4ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) loading network /tungsten/models/Lora/5AN4G1N4I.pt: ValueError Traceback (most recent call last): File "/tungsten/extensions-builtin/Lora/networks.py", line 223, in load_networks net = load_network(name, network_on_disk) File "/tungsten/extensions-builtin/Lora/networks.py", line 148, in load_network key_network_without_network_parts, network_part = key_network.split(".", 1) ValueError: not enough values to unpack (expected 2, got 1) 0%| | 0/17 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