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Cute Snowmen with Dubois C
dubois-c:v5.0
evevalentine2017
evevalentine2017
·
12/19/2023
366
Input
prompt
Specify things to see in the output
Cute little snowman with long white beard, sweet smile, whistle, <lora:more_details:0.8>,<lora:add_detail:0.8>,
negative_prompt
Specify things to not see in the output
((people)), ((humans)), (girl), (human), (person), (man), 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
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.
1469123902
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>
LostArk ShanaV3.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>
more_details.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/763119a8ec9241b4b866c4f90051cd12/00000-1469123902.webp
https://files.tungsten.run/uploads/dffd63c1d6564fd686343cf1cea736cd/00001-1469123903.webp
https://files.tungsten.run/uploads/1ad52ad57d0d4beba7203e5c31a43705/00002-1469123904.webp
https://files.tungsten.run/uploads/398e9f263dcc4af38199352689cbd5a1/00003-1469123905.webp
Finished in 104.6 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: Cute little snowman with long white beard, sweet smile, whistle, <lora:more_details:0.8>, Full negative prompt: ((people)), ((humans)), (girl), (human), (person), (man), 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 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:02<01:26, 2.99s/it] 7%|▋ | 2/30 [00:06<01:37, 3.48s/it] 10%|█ | 3/30 [00:10<01:34, 3.51s/it] 13%|█▎ | 4/30 [00:13<01:30, 3.50s/it] 17%|█▋ | 5/30 [00:17<01:28, 3.53s/it] 20%|██ | 6/30 [00:21<01:25, 3.56s/it] 23%|██▎ | 7/30 [00:24<01:21, 3.56s/it] 27%|██▋ | 8/30 [00:27<01:16, 3.48s/it] 30%|███ | 9/30 [00:31<01:13, 3.50s/it] 33%|███▎ | 10/30 [00:34<01:09, 3.49s/it] 37%|███▋ | 11/30 [00:38<01:05, 3.44s/it] 40%|████ | 12/30 [00:41<01:00, 3.38s/it] 43%|████▎ | 13/30 [00:45<00:58, 3.43s/it] 47%|████▋ | 14/30 [00:47<00:50, 3.18s/it] 50%|█████ | 15/30 [00:50<00:44, 2.99s/it] 53%|█████▎ | 16/30 [00:52<00:40, 2.91s/it] 57%|█████▋ | 17/30 [00:55<00:36, 2.82s/it] 60%|██████ | 18/30 [00:58<00:35, 2.93s/it] 63%|██████▎ | 19/30 [01:01<00:32, 3.00s/it] 67%|██████▋ | 20/30 [01:04<00:29, 2.92s/it] 70%|███████ | 21/30 [01:07<00:27, 3.02s/it] 73%|███████▎ | 22/30 [01:10<00:24, 3.04s/it] 77%|███████▋ | 23/30 [01:13<00:19, 2.85s/it] 80%|████████ | 24/30 [01:15<00:16, 2.73s/it] 83%|████████▎ | 25/30 [01:18<00:14, 2.84s/it] 87%|████████▋ | 26/30 [01:21<00:11, 2.89s/it] 90%|█████████ | 27/30 [01:24<00:08, 2.83s/it] 93%|█████████▎| 28/30 [01:27<00:05, 2.76s/it] 97%|█████████▋| 29/30 [01:29<00:02, 2.49s/it] 100%|██████████| 30/30 [01:29<00:00, 1.94s/it] 100%|██████████| 30/30 [01:29<00:00, 2.99s/it] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 (no detections), 7.9ms Speed: 3.1ms preprocess, 7.9ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x640 (no detections), 7.4ms Speed: 2.6ms preprocess, 7.4ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x640 (no detections), 7.5ms Speed: 2.8ms preprocess, 7.5ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. 0: 640x640 (no detections), 9.4ms Speed: 2.6ms preprocess, 9.4ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 1st settings. Finished.
prompt
Specify things to see in the output
Cute little snowman with long white beard, sweet smile, whistle, <lora:more_details:0.8>,<lora:add_detail:0.8>,
negative_prompt
Specify things to not see in the output
((people)), ((humans)), (girl), (human), (person), (man), 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
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.
1469123902
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>
LostArk ShanaV3.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>
more_details.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/763119a8ec9241b4b866c4f90051cd12/00000-1469123902.webp
https://files.tungsten.run/uploads/dffd63c1d6564fd686343cf1cea736cd/00001-1469123903.webp
https://files.tungsten.run/uploads/1ad52ad57d0d4beba7203e5c31a43705/00002-1469123904.webp
https://files.tungsten.run/uploads/398e9f263dcc4af38199352689cbd5a1/00003-1469123905.webp
Finished in 104.6 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: Cute little snowman with long white beard, sweet smile, whistle, <lora:more_details:0.8>, Full negative prompt: ((people)), ((humans)), (girl), (human), (person), (man), 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 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:02<01:26, 2.99s/it] 7%|▋ | 2/30 [00:06<01:37, 3.48s/it] 10%|█ | 3/30 [00:10<01:34, 3.51s/it] 13%|█▎ | 4/30 [00:13<01:30, 3.50s/it] 17%|█▋ | 5/30 [00:17<01:28, 3.53s/it] 20%|██ | 6/30 [00:21<01:25, 3.56s/it] 23%|██▎ | 7/30 [00:24<01:21, 3.56s/it] 27%|██▋ | 8/30 [00:27<01:16, 3.48s/it] 30%|███ | 9/30 [00:31<01:13, 3.50s/it] 33%|███▎ | 10/30 [00:34<01:09, 3.49s/it] 37%|███▋ | 11/30 [00:38<01:05, 3.44s/it] 40%|████ | 12/30 [00:41<01:00, 3.38s/it] 43%|████▎ | 13/30 [00:45<00:58, 3.43s/it] 47%|████▋ | 14/30 [00:47<00:50, 3.18s/it] 50%|█████ | 15/30 [00:50<00:44, 2.99s/it] 53%|█████▎ | 16/30 [00:52<00:40, 2.91s/it] 57%|█████▋ | 17/30 [00:55<00:36, 2.82s/it] 60%|██████ | 18/30 [00:58<00:35, 2.93s/it] 63%|██████▎ | 19/30 [01:01<00:32, 3.00s/it] 67%|██████▋ | 20/30 [01:04<00:29, 2.92s/it] 70%|███████ | 21/30 [01:07<00:27, 3.02s/it] 73%|███████▎ | 22/30 [01:10<00:24, 3.04s/it] 77%|███████▋ | 23/30 [01:13<00:19, 2.85s/it] 80%|████████ | 24/30 [01:15<00:16, 2.73s/it] 83%|████████▎ | 25/30 [01:18<00:14, 2.84s/it] 87%|████████▋ | 26/30 [01:21<00:11, 2.89s/it] 90%|█████████ | 27/30 [01:24<00:08, 2.83s/it] 93%|█████████▎| 28/30 [01:27<00:05, 2.76s/it] 97%|█████████▋| 29/30 [01:29<00:02, 2.49s/it] 100%|██████████| 30/30 [01:29<00:00, 1.94s/it] 100%|██████████| 30/30 [01:29<00:00, 2.99s/it] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 (no detections), 7.9ms Speed: 3.1ms preprocess, 7.9ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x640 (no detections), 7.4ms Speed: 2.6ms preprocess, 7.4ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x640 (no detections), 7.5ms Speed: 2.8ms preprocess, 7.5ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. 0: 640x640 (no detections), 9.4ms Speed: 2.6ms preprocess, 9.4ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 1st settings. Finished.