tungsten-logo
Sign In
lanque-3d-cute-turbo
lanque-3d-cute-turbo

lanque-3d-cute-turbo

4 stars
Version: v6.0
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/aea0a9af636b47d1a1b15689fbc7ebb0/00000-1802066427.webp
https://files.tungsten.run/uploads/3d701af9154e41d79b33314566b05d1e/00001-1802066428.webp
https://files.tungsten.run/uploads/4bfed7905dd84608a6da6c2a8b5222b2/00002-1802066429.webp
https://files.tungsten.run/uploads/896a480bbf124ef99253f74bec2f8e36/00003-1802066430.webp
This example was created by evevalentine2017
Finished in 23.8 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: full body, 3d render of funko pop of a grey wolf, holding a sickle in each hand, wearing a black cloak, black cape, menacing, Short, 3D Render, High Quality, 4k, subsurface scattering, (RFKTR_plastic), <lora:RFKTR_plastic:1>, <lora:add_saturation:1.0> Full negative prompt: anime, photorealistic, 35mm film, deformed, glitch, low contrast, noisy, (worst quality, low quality:1.4), negative_hand-neg, By bad artist -neg, verybadimagenegative_v1.3, bad anatomy, bad hands, cropped, missing fingers, too many fingers, missing arms, long neck, Humpbacked, deformed, disfigured, poorly drawn face, distorted face, mutation, mutated, extra limb, ugly,poorly drawn hands, missing limb, floating limbs, disconnected limbs, malformed hands, out of focus, long body, missing toes, too many toes, monochrome, symbol, text, logo, door frame, window frame, mirror frame, loading network /tungsten/models/Lora/RFKTR_plastic.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%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:01<00:08, 1.22s/it] 25%|██▌ | 2/8 [00:01<00:05, 1.12it/s] 38%|███▊ | 3/8 [00:02<00:03, 1.28it/s] 50%|█████ | 4/8 [00:03<00:02, 1.35it/s] 62%|██████▎ | 5/8 [00:03<00:02, 1.40it/s] 75%|███████▌ | 6/8 [00:04<00:01, 1.43it/s] 88%|████████▊ | 7/8 [00:05<00:00, 1.44it/s] 100%|██████████| 8/8 [00:05<00:00, 1.46it/s] 100%|██████████| 8/8 [00:05<00:00, 1.36it/s] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.02s 0: 640x640 (no detections), 7.7ms Speed: 2.8ms preprocess, 7.7ms inference, 9.3ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x640 1 hand, 7.6ms Speed: 2.8ms preprocess, 7.6ms inference, 21.0ms postprocess per image at shape (1, 3, 640, 640) loading network /tungsten/models/Lora/RFKTR_plastic.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%| | 0/4 [00:00<?, ?it/s] 25%|██▌ | 1/4 [00:00<00:01, 2.51it/s] 50%|█████ | 2/4 [00:00<00:00, 3.51it/s] 75%|███████▌ | 3/4 [00:00<00:00, 4.05it/s] 100%|██████████| 4/4 [00:01<00:00, 4.41it/s] 100%|██████████| 4/4 [00:01<00:00, 3.99it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.01s 0: 640x640 (no detections), 7.1ms Speed: 2.6ms preprocess, 7.1ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x640 2 hands, 6.8ms Speed: 2.7ms preprocess, 6.8ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) loading network /tungsten/models/Lora/RFKTR_plastic.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%| | 0/4 [00:00<?, ?it/s] 25%|██▌ | 1/4 [00:00<00:00, 4.95it/s] 50%|█████ | 2/4 [00:00<00:00, 4.96it/s] 75%|███████▌ | 3/4 [00:00<00:00, 4.93it/s] 100%|██████████| 4/4 [00:00<00:00, 4.97it/s] 100%|██████████| 4/4 [00:00<00:00, 4.96it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s loading network /tungsten/models/Lora/RFKTR_plastic.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%| | 0/4 [00:00<?, ?it/s] 25%|██▌ | 1/4 [00:00<00:00, 4.81it/s] 50%|█████ | 2/4 [00:00<00:00, 4.90it/s] 75%|███████▌ | 3/4 [00:00<00:00, 4.84it/s] 100%|██████████| 4/4 [00:00<00:00, 4.89it/s] 100%|██████████| 4/4 [00:00<00:00, 4.88it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. 0: 640x640 2 hands, 6.9ms Speed: 2.5ms preprocess, 6.9ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) loading network /tungsten/models/Lora/RFKTR_plastic.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%| | 0/4 [00:00<?, ?it/s] 25%|██▌ | 1/4 [00:00<00:00, 4.97it/s] 50%|█████ | 2/4 [00:00<00:00, 4.97it/s] 75%|███████▌ | 3/4 [00:00<00:00, 4.96it/s] 100%|██████████| 4/4 [00:00<00:00, 4.86it/s] 100%|██████████| 4/4 [00:00<00:00, 4.90it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s loading network /tungsten/models/Lora/RFKTR_plastic.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%| | 0/4 [00:00<?, ?it/s] 25%|██▌ | 1/4 [00:00<00:00, 4.90it/s] 50%|█████ | 2/4 [00:00<00:00, 4.85it/s] 75%|███████▌ | 3/4 [00:00<00:00, 4.89it/s] 100%|██████████| 4/4 [00:00<00:00, 4.94it/s] 100%|██████████| 4/4 [00:00<00:00, 4.92it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.4ms Speed: 2.8ms preprocess, 7.4ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 1st settings. 0: 640x640 (no detections), 9.6ms Speed: 2.8ms preprocess, 9.6ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Uploading outputs... 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/aea0a9af636b47d1a1b15689fbc7ebb0/00000-1802066427.webp
https://files.tungsten.run/uploads/3d701af9154e41d79b33314566b05d1e/00001-1802066428.webp
https://files.tungsten.run/uploads/4bfed7905dd84608a6da6c2a8b5222b2/00002-1802066429.webp
https://files.tungsten.run/uploads/896a480bbf124ef99253f74bec2f8e36/00003-1802066430.webp
This example was created by evevalentine2017
Finished in 23.8 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: full body, 3d render of funko pop of a grey wolf, holding a sickle in each hand, wearing a black cloak, black cape, menacing, Short, 3D Render, High Quality, 4k, subsurface scattering, (RFKTR_plastic), <lora:RFKTR_plastic:1>, <lora:add_saturation:1.0> Full negative prompt: anime, photorealistic, 35mm film, deformed, glitch, low contrast, noisy, (worst quality, low quality:1.4), negative_hand-neg, By bad artist -neg, verybadimagenegative_v1.3, bad anatomy, bad hands, cropped, missing fingers, too many fingers, missing arms, long neck, Humpbacked, deformed, disfigured, poorly drawn face, distorted face, mutation, mutated, extra limb, ugly,poorly drawn hands, missing limb, floating limbs, disconnected limbs, malformed hands, out of focus, long body, missing toes, too many toes, monochrome, symbol, text, logo, door frame, window frame, mirror frame, loading network /tungsten/models/Lora/RFKTR_plastic.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%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:01<00:08, 1.22s/it] 25%|██▌ | 2/8 [00:01<00:05, 1.12it/s] 38%|███▊ | 3/8 [00:02<00:03, 1.28it/s] 50%|█████ | 4/8 [00:03<00:02, 1.35it/s] 62%|██████▎ | 5/8 [00:03<00:02, 1.40it/s] 75%|███████▌ | 6/8 [00:04<00:01, 1.43it/s] 88%|████████▊ | 7/8 [00:05<00:00, 1.44it/s] 100%|██████████| 8/8 [00:05<00:00, 1.46it/s] 100%|██████████| 8/8 [00:05<00:00, 1.36it/s] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.02s 0: 640x640 (no detections), 7.7ms Speed: 2.8ms preprocess, 7.7ms inference, 9.3ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x640 1 hand, 7.6ms Speed: 2.8ms preprocess, 7.6ms inference, 21.0ms postprocess per image at shape (1, 3, 640, 640) loading network /tungsten/models/Lora/RFKTR_plastic.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%| | 0/4 [00:00<?, ?it/s] 25%|██▌ | 1/4 [00:00<00:01, 2.51it/s] 50%|█████ | 2/4 [00:00<00:00, 3.51it/s] 75%|███████▌ | 3/4 [00:00<00:00, 4.05it/s] 100%|██████████| 4/4 [00:01<00:00, 4.41it/s] 100%|██████████| 4/4 [00:01<00:00, 3.99it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.01s 0: 640x640 (no detections), 7.1ms Speed: 2.6ms preprocess, 7.1ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x640 2 hands, 6.8ms Speed: 2.7ms preprocess, 6.8ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) loading network /tungsten/models/Lora/RFKTR_plastic.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%| | 0/4 [00:00<?, ?it/s] 25%|██▌ | 1/4 [00:00<00:00, 4.95it/s] 50%|█████ | 2/4 [00:00<00:00, 4.96it/s] 75%|███████▌ | 3/4 [00:00<00:00, 4.93it/s] 100%|██████████| 4/4 [00:00<00:00, 4.97it/s] 100%|██████████| 4/4 [00:00<00:00, 4.96it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s loading network /tungsten/models/Lora/RFKTR_plastic.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%| | 0/4 [00:00<?, ?it/s] 25%|██▌ | 1/4 [00:00<00:00, 4.81it/s] 50%|█████ | 2/4 [00:00<00:00, 4.90it/s] 75%|███████▌ | 3/4 [00:00<00:00, 4.84it/s] 100%|██████████| 4/4 [00:00<00:00, 4.89it/s] 100%|██████████| 4/4 [00:00<00:00, 4.88it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. 0: 640x640 2 hands, 6.9ms Speed: 2.5ms preprocess, 6.9ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) loading network /tungsten/models/Lora/RFKTR_plastic.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%| | 0/4 [00:00<?, ?it/s] 25%|██▌ | 1/4 [00:00<00:00, 4.97it/s] 50%|█████ | 2/4 [00:00<00:00, 4.97it/s] 75%|███████▌ | 3/4 [00:00<00:00, 4.96it/s] 100%|██████████| 4/4 [00:00<00:00, 4.86it/s] 100%|██████████| 4/4 [00:00<00:00, 4.90it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s loading network /tungsten/models/Lora/RFKTR_plastic.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%| | 0/4 [00:00<?, ?it/s] 25%|██▌ | 1/4 [00:00<00:00, 4.90it/s] 50%|█████ | 2/4 [00:00<00:00, 4.85it/s] 75%|███████▌ | 3/4 [00:00<00:00, 4.89it/s] 100%|██████████| 4/4 [00:00<00:00, 4.94it/s] 100%|██████████| 4/4 [00:00<00:00, 4.92it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.4ms Speed: 2.8ms preprocess, 7.4ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 1st settings. 0: 640x640 (no detections), 9.6ms Speed: 2.8ms preprocess, 9.6ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Uploading outputs... Finished.