tungsten-logo
Sign In
bright-proto-nuke-xl
bright-proto-nuke-xl

bright-proto-nuke-xl

3 stars
Version: v1.3
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
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/9024cfb734b0458cb1d8b3c56002dac8/00000-3599051889.webp
https://files.tungsten.run/uploads/defd145f020345c787d4666ddda6eab6/00001-3599051890.webp
https://files.tungsten.run/uploads/747c416602cf4b25891c67d36b37ac0f/00002-3599051891.webp
This example was created by evevalentine2017
Finished in 78.5 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: adultes seulement, (8k, RAW photo, highest quality), colorful, pastel tone, extremely detailed, sharp focus, professional lighting, cinematic film still 4k official art, unity 8k wallpaper, ultra detailed, beautiful and aesthetic, ultra realistic, masterpiece, best quality, man, hunk, shirtless, dirty, engineer, shaved hair, hairy chest, masculine, big chest, big muscles, underwear, repairing a motorbike, true to life, natural skin, high detailed body, very detailed scene, shadows, detailed background, highly detailed skin, accurate to life, living image, amazingly lifelike, shallow depth of field, vignette, highly detailed, high budget, bokeh, cinemascope, moody, epic, gorgeous, film grain, grainy dramatic, ornate, extremely high-resolution details, photographic, realism pushed to extreme, fine texture, 4k, ultra-detailed, high quality, high contrast, Realistic, Photo Full negative prompt: (deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime, mutated hands and fingers:1.4), (deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, disconnected limbs, mutation, mutated, ugly, disgusting, amputation 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:02<01:12, 2.50s/it] 7%|▋ | 2/30 [00:04<01:09, 2.49s/it] 10%|█ | 3/30 [00:07<01:07, 2.49s/it] 13%|█▎ | 4/30 [00:09<01:04, 2.50s/it] 17%|█▋ | 5/30 [00:12<01:02, 2.50s/it] 20%|██ | 6/30 [00:15<01:00, 2.51s/it] 23%|██▎ | 7/30 [00:17<00:57, 2.52s/it] 27%|██▋ | 8/30 [00:20<00:55, 2.52s/it] 30%|███ | 9/30 [00:22<00:53, 2.53s/it] 33%|███▎ | 10/30 [00:25<00:50, 2.54s/it] 37%|███▋ | 11/30 [00:27<00:48, 2.55s/it] 40%|████ | 12/30 [00:30<00:45, 2.56s/it] 43%|████▎ | 13/30 [00:32<00:43, 2.56s/it] 47%|████▋ | 14/30 [00:35<00:41, 2.57s/it] 50%|█████ | 15/30 [00:38<00:38, 2.57s/it] 53%|█████▎ | 16/30 [00:40<00:36, 2.58s/it] 57%|█████▋ | 17/30 [00:43<00:33, 2.58s/it] 60%|██████ | 18/30 [00:45<00:31, 2.58s/it] 63%|██████▎ | 19/30 [00:48<00:28, 2.58s/it] 67%|██████▋ | 20/30 [00:51<00:25, 2.58s/it] 70%|███████ | 21/30 [00:53<00:23, 2.57s/it] 73%|███████▎ | 22/30 [00:56<00:20, 2.57s/it] 77%|███████▋ | 23/30 [00:58<00:17, 2.57s/it] 80%|████████ | 24/30 [01:01<00:15, 2.56s/it] 83%|████████▎ | 25/30 [01:03<00:12, 2.56s/it] 87%|████████▋ | 26/30 [01:06<00:10, 2.56s/it] 90%|█████████ | 27/30 [01:08<00:07, 2.55s/it] 93%|█████████▎| 28/30 [01:11<00:05, 2.55s/it] 97%|█████████▋| 29/30 [01:13<00:02, 2.55s/it] 100%|██████████| 30/30 [01:15<00:00, 2.16s/it] 100%|██████████| 30/30 [01:15<00:00, 2.51s/it] Decoding latents in cuda:0... done in 2.33s Move latents to cpu... done in 0.03s 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
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/9024cfb734b0458cb1d8b3c56002dac8/00000-3599051889.webp
https://files.tungsten.run/uploads/defd145f020345c787d4666ddda6eab6/00001-3599051890.webp
https://files.tungsten.run/uploads/747c416602cf4b25891c67d36b37ac0f/00002-3599051891.webp
This example was created by evevalentine2017
Finished in 78.5 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: adultes seulement, (8k, RAW photo, highest quality), colorful, pastel tone, extremely detailed, sharp focus, professional lighting, cinematic film still 4k official art, unity 8k wallpaper, ultra detailed, beautiful and aesthetic, ultra realistic, masterpiece, best quality, man, hunk, shirtless, dirty, engineer, shaved hair, hairy chest, masculine, big chest, big muscles, underwear, repairing a motorbike, true to life, natural skin, high detailed body, very detailed scene, shadows, detailed background, highly detailed skin, accurate to life, living image, amazingly lifelike, shallow depth of field, vignette, highly detailed, high budget, bokeh, cinemascope, moody, epic, gorgeous, film grain, grainy dramatic, ornate, extremely high-resolution details, photographic, realism pushed to extreme, fine texture, 4k, ultra-detailed, high quality, high contrast, Realistic, Photo Full negative prompt: (deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime, mutated hands and fingers:1.4), (deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, disconnected limbs, mutation, mutated, ugly, disgusting, amputation 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:02<01:12, 2.50s/it] 7%|▋ | 2/30 [00:04<01:09, 2.49s/it] 10%|█ | 3/30 [00:07<01:07, 2.49s/it] 13%|█▎ | 4/30 [00:09<01:04, 2.50s/it] 17%|█▋ | 5/30 [00:12<01:02, 2.50s/it] 20%|██ | 6/30 [00:15<01:00, 2.51s/it] 23%|██▎ | 7/30 [00:17<00:57, 2.52s/it] 27%|██▋ | 8/30 [00:20<00:55, 2.52s/it] 30%|███ | 9/30 [00:22<00:53, 2.53s/it] 33%|███▎ | 10/30 [00:25<00:50, 2.54s/it] 37%|███▋ | 11/30 [00:27<00:48, 2.55s/it] 40%|████ | 12/30 [00:30<00:45, 2.56s/it] 43%|████▎ | 13/30 [00:32<00:43, 2.56s/it] 47%|████▋ | 14/30 [00:35<00:41, 2.57s/it] 50%|█████ | 15/30 [00:38<00:38, 2.57s/it] 53%|█████▎ | 16/30 [00:40<00:36, 2.58s/it] 57%|█████▋ | 17/30 [00:43<00:33, 2.58s/it] 60%|██████ | 18/30 [00:45<00:31, 2.58s/it] 63%|██████▎ | 19/30 [00:48<00:28, 2.58s/it] 67%|██████▋ | 20/30 [00:51<00:25, 2.58s/it] 70%|███████ | 21/30 [00:53<00:23, 2.57s/it] 73%|███████▎ | 22/30 [00:56<00:20, 2.57s/it] 77%|███████▋ | 23/30 [00:58<00:17, 2.57s/it] 80%|████████ | 24/30 [01:01<00:15, 2.56s/it] 83%|████████▎ | 25/30 [01:03<00:12, 2.56s/it] 87%|████████▋ | 26/30 [01:06<00:10, 2.56s/it] 90%|█████████ | 27/30 [01:08<00:07, 2.55s/it] 93%|█████████▎| 28/30 [01:11<00:05, 2.55s/it] 97%|█████████▋| 29/30 [01:13<00:02, 2.55s/it] 100%|██████████| 30/30 [01:15<00:00, 2.16s/it] 100%|██████████| 30/30 [01:15<00:00, 2.51s/it] Decoding latents in cuda:0... done in 2.33s Move latents to cpu... done in 0.03s Uploading outputs... Finished.