tungsten-logo
Sign In
noosphere-real
noosphere-real

noosphere-real

12 stars
Version: v2
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/36adcde7d8194761a16f2cfb122aab91/00000-2763524489.webp
https://files.tungsten.run/uploads/55880b56424845059d57ee3404382645/00001-2763524490.webp
https://files.tungsten.run/uploads/0f93a4394c4b4c77aa886b0205299a08/00002-2763524491.webp
https://files.tungsten.run/uploads/133692d7d5f340ddb3a7b351351e7de2/00003-2763524492.webp
This example was created by evevalentine2017
Finished in 37.3 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: 1man, warrior male elf, red hair, standing, high resolution, close up face, looking to the sky, elf 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<00:15, 1.58it/s] 8%|▊ | 2/26 [00:01<00:15, 1.55it/s] 12%|█▏ | 3/26 [00:01<00:14, 1.56it/s] 15%|█▌ | 4/26 [00:02<00:14, 1.55it/s] 19%|█▉ | 5/26 [00:03<00:13, 1.55it/s] 23%|██▎ | 6/26 [00:03<00:12, 1.56it/s] 27%|██▋ | 7/26 [00:04<00:12, 1.55it/s] 31%|███ | 8/26 [00:05<00:11, 1.55it/s] 35%|███▍ | 9/26 [00:05<00:10, 1.56it/s] 38%|███▊ | 10/26 [00:06<00:10, 1.55it/s] 42%|████▏ | 11/26 [00:07<00:09, 1.55it/s] 46%|████▌ | 12/26 [00:07<00:09, 1.55it/s] 50%|█████ | 13/26 [00:08<00:08, 1.55it/s] 54%|█████▍ | 14/26 [00:09<00:07, 1.55it/s] 58%|█████▊ | 15/26 [00:09<00:07, 1.55it/s] 62%|██████▏ | 16/26 [00:10<00:06, 1.55it/s] 65%|██████▌ | 17/26 [00:10<00:05, 1.55it/s] 69%|██████▉ | 18/26 [00:11<00:05, 1.54it/s] 73%|███████▎ | 19/26 [00:12<00:04, 1.54it/s] 77%|███████▋ | 20/26 [00:12<00:03, 1.54it/s] 81%|████████ | 21/26 [00:13<00:03, 1.54it/s] 85%|████████▍ | 22/26 [00:14<00:02, 1.54it/s] 88%|████████▊ | 23/26 [00:14<00:01, 1.54it/s] 92%|█████████▏| 24/26 [00:15<00:01, 1.54it/s] 96%|█████████▌| 25/26 [00:16<00:00, 1.54it/s] 100%|██████████| 26/26 [00:16<00:00, 1.54it/s] 100%|██████████| 26/26 [00:16<00:00, 1.55it/s] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 8.1ms Speed: 3.4ms preprocess, 8.1ms inference, 34.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:03, 3.24it/s] 17%|█▋ | 2/12 [00:00<00:02, 4.65it/s] 25%|██▌ | 3/12 [00:00<00:01, 5.27it/s] 33%|███▎ | 4/12 [00:00<00:01, 5.74it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.03it/s] 50%|█████ | 6/12 [00:01<00:00, 6.18it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.24it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.29it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.38it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.44it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.49it/s] 100%|██████████| 12/12 [00:01<00:00, 6.51it/s] 100%|██████████| 12/12 [00:01<00:00, 6.02it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s
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/36adcde7d8194761a16f2cfb122aab91/00000-2763524489.webp
https://files.tungsten.run/uploads/55880b56424845059d57ee3404382645/00001-2763524490.webp
https://files.tungsten.run/uploads/0f93a4394c4b4c77aa886b0205299a08/00002-2763524491.webp
https://files.tungsten.run/uploads/133692d7d5f340ddb3a7b351351e7de2/00003-2763524492.webp
This example was created by evevalentine2017
Finished in 37.3 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: 1man, warrior male elf, red hair, standing, high resolution, close up face, looking to the sky, elf 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<00:15, 1.58it/s] 8%|▊ | 2/26 [00:01<00:15, 1.55it/s] 12%|█▏ | 3/26 [00:01<00:14, 1.56it/s] 15%|█▌ | 4/26 [00:02<00:14, 1.55it/s] 19%|█▉ | 5/26 [00:03<00:13, 1.55it/s] 23%|██▎ | 6/26 [00:03<00:12, 1.56it/s] 27%|██▋ | 7/26 [00:04<00:12, 1.55it/s] 31%|███ | 8/26 [00:05<00:11, 1.55it/s] 35%|███▍ | 9/26 [00:05<00:10, 1.56it/s] 38%|███▊ | 10/26 [00:06<00:10, 1.55it/s] 42%|████▏ | 11/26 [00:07<00:09, 1.55it/s] 46%|████▌ | 12/26 [00:07<00:09, 1.55it/s] 50%|█████ | 13/26 [00:08<00:08, 1.55it/s] 54%|█████▍ | 14/26 [00:09<00:07, 1.55it/s] 58%|█████▊ | 15/26 [00:09<00:07, 1.55it/s] 62%|██████▏ | 16/26 [00:10<00:06, 1.55it/s] 65%|██████▌ | 17/26 [00:10<00:05, 1.55it/s] 69%|██████▉ | 18/26 [00:11<00:05, 1.54it/s] 73%|███████▎ | 19/26 [00:12<00:04, 1.54it/s] 77%|███████▋ | 20/26 [00:12<00:03, 1.54it/s] 81%|████████ | 21/26 [00:13<00:03, 1.54it/s] 85%|████████▍ | 22/26 [00:14<00:02, 1.54it/s] 88%|████████▊ | 23/26 [00:14<00:01, 1.54it/s] 92%|█████████▏| 24/26 [00:15<00:01, 1.54it/s] 96%|█████████▌| 25/26 [00:16<00:00, 1.54it/s] 100%|██████████| 26/26 [00:16<00:00, 1.54it/s] 100%|██████████| 26/26 [00:16<00:00, 1.55it/s] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 8.1ms Speed: 3.4ms preprocess, 8.1ms inference, 34.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:03, 3.24it/s] 17%|█▋ | 2/12 [00:00<00:02, 4.65it/s] 25%|██▌ | 3/12 [00:00<00:01, 5.27it/s] 33%|███▎ | 4/12 [00:00<00:01, 5.74it/s] 42%|████▏ | 5/12 [00:00<00:01, 6.03it/s] 50%|█████ | 6/12 [00:01<00:00, 6.18it/s] 58%|█████▊ | 7/12 [00:01<00:00, 6.24it/s] 67%|██████▋ | 8/12 [00:01<00:00, 6.29it/s] 75%|███████▌ | 9/12 [00:01<00:00, 6.38it/s] 83%|████████▎ | 10/12 [00:01<00:00, 6.44it/s] 92%|█████████▏| 11/12 [00:01<00:00, 6.49it/s] 100%|██████████| 12/12 [00:01<00:00, 6.51it/s] 100%|██████████| 12/12 [00:01<00:00, 6.02it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s