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Words Tattoos with Noosphere-REAL
noosphere-real:v2
evevalentine2017
evevalentine2017
·
Apr 10
143
Input
prompt
Specify things to see in the output
(1girl:1.2, body covered in words, words on body:1.1, tattoos of (words) on body:1.2), (masterpiece:1.4, best quality), medium breasts, (intricate details),unity 8k wallpaper, ultra detailed, (pastel colors:1.3), beautiful and aesthetic, see-through (clothes), detailed, solo,
negative_prompt
Specify things to not see in the output
(worst quality, low quality, normal quality:2), lowres, split_screen, framed border, childlike paintings, sketches, bad anatomy, (monochrome), (grayscale), FastNegativeV2, badhandv4
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
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.45
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.
1965684943
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
26
cfg_scale
Scale for classifier-free guidance
7.5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
None
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)
badhandv4.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
FastNegativeV2.pt
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/a9530310a008454fabc599ba13f73ec3/00000-1965684943.webp
https://files.tungsten.run/uploads/9a04c8498983423099a1157587122160/00001-1965684944.webp
https://files.tungsten.run/uploads/720feb3b92de4acd9a0ab95cec87873c/00002-1965684945.webp
https://files.tungsten.run/uploads/9eb6df3957af461eb9b1db80f2356a83/00003-1965684946.webp
Finished in 43.3 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: (1girl:1.2, body covered in words, words on body:1.1, tattoos of (words) on body:1.2), (masterpiece:1.4, best quality), medium breasts, (intricate details),unity 8k wallpaper, ultra detailed, (pastel colors:1.3), beautiful and aesthetic, see-through (clothes), detailed, solo, Full negative prompt: (worst quality, low quality, normal quality:2), lowres, split_screen, framed border, childlike paintings, sketches, bad anatomy, (monochrome), (grayscale), FastNegativeV2, badhandv4 0%| | 0/26 [00:00<?, ?it/s] 4%|▍ | 1/26 [00:00<00:16, 1.54it/s] 8%|▊ | 2/26 [00:01<00:15, 1.51it/s] 12%|█▏ | 3/26 [00:01<00:15, 1.52it/s] 15%|█▌ | 4/26 [00:02<00:14, 1.52it/s] 19%|█▉ | 5/26 [00:03<00:13, 1.51it/s] 23%|██▎ | 6/26 [00:03<00:13, 1.51it/s] 27%|██▋ | 7/26 [00:04<00:12, 1.52it/s] 31%|███ | 8/26 [00:05<00:11, 1.51it/s] 35%|███▍ | 9/26 [00:05<00:11, 1.51it/s] 38%|███▊ | 10/26 [00:06<00:10, 1.51it/s] 42%|████▏ | 11/26 [00:07<00:09, 1.50it/s] 46%|████▌ | 12/26 [00:07<00:09, 1.50it/s] 50%|█████ | 13/26 [00:08<00:08, 1.50it/s] 54%|█████▍ | 14/26 [00:09<00:08, 1.50it/s] 58%|█████▊ | 15/26 [00:09<00:07, 1.49it/s] 62%|██████▏ | 16/26 [00:10<00:06, 1.49it/s] 65%|██████▌ | 17/26 [00:11<00:06, 1.49it/s] 69%|██████▉ | 18/26 [00:11<00:05, 1.49it/s] 73%|███████▎ | 19/26 [00:12<00:04, 1.49it/s] 77%|███████▋ | 20/26 [00:13<00:04, 1.49it/s] 81%|████████ | 21/26 [00:14<00:03, 1.47it/s] 85%|████████▍ | 22/26 [00:14<00:02, 1.48it/s] 88%|████████▊ | 23/26 [00:15<00:02, 1.48it/s] 92%|█████████▏| 24/26 [00:16<00:01, 1.48it/s] 96%|█████████▌| 25/26 [00:16<00:00, 1.48it/s] 100%|██████████| 26/26 [00:17<00:00, 1.48it/s] 100%|██████████| 26/26 [00:17<00:00, 1.50it/s] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.03s 0: 640x640 1 face, 8.2ms Speed: 3.9ms preprocess, 8.2ms inference, 34.6ms postprocess per image at shape (1, 3, 640, 640)
prompt
Specify things to see in the output
(1girl:1.2, body covered in words, words on body:1.1, tattoos of (words) on body:1.2), (masterpiece:1.4, best quality), medium breasts, (intricate details),unity 8k wallpaper, ultra detailed, (pastel colors:1.3), beautiful and aesthetic, see-through (clothes), detailed, solo,
negative_prompt
Specify things to not see in the output
(worst quality, low quality, normal quality:2), lowres, split_screen, framed border, childlike paintings, sketches, bad anatomy, (monochrome), (grayscale), FastNegativeV2, badhandv4
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
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.45
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.
1965684943
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
26
cfg_scale
Scale for classifier-free guidance
7.5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
None
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)
badhandv4.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
FastNegativeV2.pt
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/a9530310a008454fabc599ba13f73ec3/00000-1965684943.webp
https://files.tungsten.run/uploads/9a04c8498983423099a1157587122160/00001-1965684944.webp
https://files.tungsten.run/uploads/720feb3b92de4acd9a0ab95cec87873c/00002-1965684945.webp
https://files.tungsten.run/uploads/9eb6df3957af461eb9b1db80f2356a83/00003-1965684946.webp
Finished in 43.3 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: (1girl:1.2, body covered in words, words on body:1.1, tattoos of (words) on body:1.2), (masterpiece:1.4, best quality), medium breasts, (intricate details),unity 8k wallpaper, ultra detailed, (pastel colors:1.3), beautiful and aesthetic, see-through (clothes), detailed, solo, Full negative prompt: (worst quality, low quality, normal quality:2), lowres, split_screen, framed border, childlike paintings, sketches, bad anatomy, (monochrome), (grayscale), FastNegativeV2, badhandv4 0%| | 0/26 [00:00<?, ?it/s] 4%|▍ | 1/26 [00:00<00:16, 1.54it/s] 8%|▊ | 2/26 [00:01<00:15, 1.51it/s] 12%|█▏ | 3/26 [00:01<00:15, 1.52it/s] 15%|█▌ | 4/26 [00:02<00:14, 1.52it/s] 19%|█▉ | 5/26 [00:03<00:13, 1.51it/s] 23%|██▎ | 6/26 [00:03<00:13, 1.51it/s] 27%|██▋ | 7/26 [00:04<00:12, 1.52it/s] 31%|███ | 8/26 [00:05<00:11, 1.51it/s] 35%|███▍ | 9/26 [00:05<00:11, 1.51it/s] 38%|███▊ | 10/26 [00:06<00:10, 1.51it/s] 42%|████▏ | 11/26 [00:07<00:09, 1.50it/s] 46%|████▌ | 12/26 [00:07<00:09, 1.50it/s] 50%|█████ | 13/26 [00:08<00:08, 1.50it/s] 54%|█████▍ | 14/26 [00:09<00:08, 1.50it/s] 58%|█████▊ | 15/26 [00:09<00:07, 1.49it/s] 62%|██████▏ | 16/26 [00:10<00:06, 1.49it/s] 65%|██████▌ | 17/26 [00:11<00:06, 1.49it/s] 69%|██████▉ | 18/26 [00:11<00:05, 1.49it/s] 73%|███████▎ | 19/26 [00:12<00:04, 1.49it/s] 77%|███████▋ | 20/26 [00:13<00:04, 1.49it/s] 81%|████████ | 21/26 [00:14<00:03, 1.47it/s] 85%|████████▍ | 22/26 [00:14<00:02, 1.48it/s] 88%|████████▊ | 23/26 [00:15<00:02, 1.48it/s] 92%|█████████▏| 24/26 [00:16<00:01, 1.48it/s] 96%|█████████▌| 25/26 [00:16<00:00, 1.48it/s] 100%|██████████| 26/26 [00:17<00:00, 1.48it/s] 100%|██████████| 26/26 [00:17<00:00, 1.50it/s] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.03s 0: 640x640 1 face, 8.2ms Speed: 3.9ms preprocess, 8.2ms inference, 34.6ms postprocess per image at shape (1, 3, 640, 640)