tungsten-logo
Sign In
Cute Tusun with Dubois C
dubois-c:v5.0
evevalentine2017
evevalentine2017
·
12/19/2023
387
Input
prompt
Specify things to see in the output
cute tusun with a blurry background, black background, simple background, signature, face, solo, (cute and lovely:1.4), Beautiful and realistic eye details, perfect anatomy, (Nonsense:1.4), (pure background:1.4), Centered-Shot, realistic photo, photograph, 4k, hyper detailed, DSLR, 24 Megapixels, 8mm Lens, Full Frame, film grain, Global Illumination, (studio Lighting:1.4), Award Winning Photography, diffuse reflection, ray tracing, <lora:TUSUN:1> <lora:more_details:0.8>, <lora:add_detail:0.8>,
negative_prompt
Specify things to not see in the output
girl, human, (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
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
false
enhance_hands_with_adetailer
Enhance hands with adetailer
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.55
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.
153399209
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++ SDE Karras
samping_steps
Number of denoising steps
30
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>
more_details.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
add_detail.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
TUSUN.safetensors
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad_prompt_version2-neg.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
BeyondV3-neg.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
Output
https://files.tungsten.run/uploads/2bce89dfc9ae4120a2f16483fde22fef/00000-153399209.webp
https://files.tungsten.run/uploads/154fa09c49df4bad8623aca7945a9d67/00001-153399210.webp
https://files.tungsten.run/uploads/6368b227e1ee4310945dcf4e6d425a01/00002-153399211.webp
https://files.tungsten.run/uploads/d11b087aaef74a17a6256a273b3e8d4d/00003-153399212.webp
Finished in 124.2 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: cute tusun with a blurry background, black background, simple background, signature, face, solo, (cute and lovely:1.4), Beautiful and realistic eye details, perfect anatomy, (Nonsense:1.4), (pure background:1.4), Centered-Shot, realistic photo, photograph, 4k, hyper detailed, DSLR, 24 Megapixels, 8mm Lens, Full Frame, film grain, Global Illumination, (studio Lighting:1.4), Award Winning Photography, diffuse reflection, ray tracing, <lora:TUSUN:1> <lora:more_details:0.8>, Full negative prompt: girl, human, (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 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:03<01:30, 3.13s/it] 7%|▋ | 2/30 [00:06<01:39, 3.55s/it] 10%|█ | 3/30 [00:10<01:37, 3.61s/it] 13%|█▎ | 4/30 [00:14<01:32, 3.57s/it] 17%|█▋ | 5/30 [00:17<01:30, 3.61s/it] 20%|██ | 6/30 [00:21<01:26, 3.62s/it] 23%|██▎ | 7/30 [00:25<01:23, 3.62s/it] 27%|██▋ | 8/30 [00:28<01:18, 3.55s/it] 30%|███ | 9/30 [00:32<01:14, 3.57s/it] 33%|███▎ | 10/30 [00:35<01:11, 3.57s/it] 37%|███▋ | 11/30 [00:39<01:07, 3.54s/it] 40%|████ | 12/30 [00:42<01:02, 3.49s/it] 43%|████▎ | 13/30 [00:46<01:00, 3.55s/it] 47%|████▋ | 14/30 [00:48<00:52, 3.28s/it] 50%|█████ | 15/30 [00:51<00:46, 3.09s/it] 53%|█████▎ | 16/30 [00:54<00:42, 3.00s/it] 57%|█████▋ | 17/30 [00:56<00:37, 2.90s/it] 60%|██████ | 18/30 [01:00<00:36, 3.01s/it] 63%|██████▎ | 19/30 [01:03<00:33, 3.09s/it] 67%|██████▋ | 20/30 [01:06<00:30, 3.02s/it] 70%|███████ | 21/30 [01:09<00:28, 3.13s/it] 73%|███████▎ | 22/30 [01:12<00:25, 3.15s/it] 77%|███████▋ | 23/30 [01:15<00:20, 2.96s/it] 80%|████████ | 24/30 [01:17<00:16, 2.83s/it] 83%|████████▎ | 25/30 [01:21<00:14, 2.93s/it] 87%|████████▋ | 26/30 [01:24<00:11, 2.96s/it] 90%|█████████ | 27/30 [01:26<00:08, 2.90s/it] 93%|█████████▎| 28/30 [01:29<00:05, 2.81s/it] 97%|█████████▋| 29/30 [01:31<00:02, 2.55s/it] 100%|██████████| 30/30 [01:32<00:00, 1.99s/it] 100%|██████████| 30/30 [01:32<00:00, 3.07s/it] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.02s 0: 640x640 (no detections), 8.0ms Speed: 9.4ms preprocess, 8.0ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 (no detections), 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 1 hand, 8.0ms Speed: 2.7ms preprocess, 8.0ms inference, 25.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:12, 1.25it/s] 12%|█▏ | 2/17 [00:01<00:10, 1.43it/s] 18%|█▊ | 3/17 [00:02<00:09, 1.43it/s] 24%|██▎ | 4/17 [00:02<00:08, 1.47it/s] 29%|██▉ | 5/17 [00:03<00:08, 1.38it/s] 35%|███▌ | 6/17 [00:04<00:08, 1.34it/s] 41%|████ | 7/17 [00:05<00:07, 1.37it/s] 47%|████▋ | 8/17 [00:05<00:06, 1.32it/s] 53%|█████▎ | 9/17 [00:06<00:06, 1.32it/s] 59%|█████▉ | 10/17 [00:07<00:05, 1.40it/s] 65%|██████▍ | 11/17 [00:07<00:04, 1.47it/s] 71%|███████ | 12/17 [00:08<00:03, 1.42it/s] 76%|███████▋ | 13/17 [00:09<00:02, 1.40it/s] 82%|████████▏ | 14/17 [00:10<00:02, 1.44it/s] 88%|████████▊ | 15/17 [00:10<00:01, 1.48it/s] 94%|█████████▍| 16/17 [00:11<00:00, 1.63it/s] 100%|██████████| 17/17 [00:11<00:00, 2.11it/s] 100%|██████████| 17/17 [00:11<00:00, 1.51it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.3ms Speed: 3.2ms preprocess, 7.3ms inference, 1.2ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Finished.
prompt
Specify things to see in the output
cute tusun with a blurry background, black background, simple background, signature, face, solo, (cute and lovely:1.4), Beautiful and realistic eye details, perfect anatomy, (Nonsense:1.4), (pure background:1.4), Centered-Shot, realistic photo, photograph, 4k, hyper detailed, DSLR, 24 Megapixels, 8mm Lens, Full Frame, film grain, Global Illumination, (studio Lighting:1.4), Award Winning Photography, diffuse reflection, ray tracing, <lora:TUSUN:1> <lora:more_details:0.8>, <lora:add_detail:0.8>,
negative_prompt
Specify things to not see in the output
girl, human, (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
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
false
enhance_hands_with_adetailer
Enhance hands with adetailer
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.55
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.
153399209
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++ SDE Karras
samping_steps
Number of denoising steps
30
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>
more_details.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
add_detail.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
TUSUN.safetensors
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad_prompt_version2-neg.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
BeyondV3-neg.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/2bce89dfc9ae4120a2f16483fde22fef/00000-153399209.webp
https://files.tungsten.run/uploads/154fa09c49df4bad8623aca7945a9d67/00001-153399210.webp
https://files.tungsten.run/uploads/6368b227e1ee4310945dcf4e6d425a01/00002-153399211.webp
https://files.tungsten.run/uploads/d11b087aaef74a17a6256a273b3e8d4d/00003-153399212.webp
Finished in 124.2 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: cute tusun with a blurry background, black background, simple background, signature, face, solo, (cute and lovely:1.4), Beautiful and realistic eye details, perfect anatomy, (Nonsense:1.4), (pure background:1.4), Centered-Shot, realistic photo, photograph, 4k, hyper detailed, DSLR, 24 Megapixels, 8mm Lens, Full Frame, film grain, Global Illumination, (studio Lighting:1.4), Award Winning Photography, diffuse reflection, ray tracing, <lora:TUSUN:1> <lora:more_details:0.8>, Full negative prompt: girl, human, (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 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:03<01:30, 3.13s/it] 7%|▋ | 2/30 [00:06<01:39, 3.55s/it] 10%|█ | 3/30 [00:10<01:37, 3.61s/it] 13%|█▎ | 4/30 [00:14<01:32, 3.57s/it] 17%|█▋ | 5/30 [00:17<01:30, 3.61s/it] 20%|██ | 6/30 [00:21<01:26, 3.62s/it] 23%|██▎ | 7/30 [00:25<01:23, 3.62s/it] 27%|██▋ | 8/30 [00:28<01:18, 3.55s/it] 30%|███ | 9/30 [00:32<01:14, 3.57s/it] 33%|███▎ | 10/30 [00:35<01:11, 3.57s/it] 37%|███▋ | 11/30 [00:39<01:07, 3.54s/it] 40%|████ | 12/30 [00:42<01:02, 3.49s/it] 43%|████▎ | 13/30 [00:46<01:00, 3.55s/it] 47%|████▋ | 14/30 [00:48<00:52, 3.28s/it] 50%|█████ | 15/30 [00:51<00:46, 3.09s/it] 53%|█████▎ | 16/30 [00:54<00:42, 3.00s/it] 57%|█████▋ | 17/30 [00:56<00:37, 2.90s/it] 60%|██████ | 18/30 [01:00<00:36, 3.01s/it] 63%|██████▎ | 19/30 [01:03<00:33, 3.09s/it] 67%|██████▋ | 20/30 [01:06<00:30, 3.02s/it] 70%|███████ | 21/30 [01:09<00:28, 3.13s/it] 73%|███████▎ | 22/30 [01:12<00:25, 3.15s/it] 77%|███████▋ | 23/30 [01:15<00:20, 2.96s/it] 80%|████████ | 24/30 [01:17<00:16, 2.83s/it] 83%|████████▎ | 25/30 [01:21<00:14, 2.93s/it] 87%|████████▋ | 26/30 [01:24<00:11, 2.96s/it] 90%|█████████ | 27/30 [01:26<00:08, 2.90s/it] 93%|█████████▎| 28/30 [01:29<00:05, 2.81s/it] 97%|█████████▋| 29/30 [01:31<00:02, 2.55s/it] 100%|██████████| 30/30 [01:32<00:00, 1.99s/it] 100%|██████████| 30/30 [01:32<00:00, 3.07s/it] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.02s 0: 640x640 (no detections), 8.0ms Speed: 9.4ms preprocess, 8.0ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 (no detections), 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 1 hand, 8.0ms Speed: 2.7ms preprocess, 8.0ms inference, 25.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:12, 1.25it/s] 12%|█▏ | 2/17 [00:01<00:10, 1.43it/s] 18%|█▊ | 3/17 [00:02<00:09, 1.43it/s] 24%|██▎ | 4/17 [00:02<00:08, 1.47it/s] 29%|██▉ | 5/17 [00:03<00:08, 1.38it/s] 35%|███▌ | 6/17 [00:04<00:08, 1.34it/s] 41%|████ | 7/17 [00:05<00:07, 1.37it/s] 47%|████▋ | 8/17 [00:05<00:06, 1.32it/s] 53%|█████▎ | 9/17 [00:06<00:06, 1.32it/s] 59%|█████▉ | 10/17 [00:07<00:05, 1.40it/s] 65%|██████▍ | 11/17 [00:07<00:04, 1.47it/s] 71%|███████ | 12/17 [00:08<00:03, 1.42it/s] 76%|███████▋ | 13/17 [00:09<00:02, 1.40it/s] 82%|████████▏ | 14/17 [00:10<00:02, 1.44it/s] 88%|████████▊ | 15/17 [00:10<00:01, 1.48it/s] 94%|█████████▍| 16/17 [00:11<00:00, 1.63it/s] 100%|██████████| 17/17 [00:11<00:00, 2.11it/s] 100%|██████████| 17/17 [00:11<00:00, 1.51it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.3ms Speed: 3.2ms preprocess, 7.3ms inference, 1.2ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Finished.