Version: v1.0
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.
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Output
https://files.tungsten.run/uploads/6428ab5276f84e1e9384776727c8b524/00000-1276801241.webp
https://files.tungsten.run/uploads/192f3b1f7a3847cdbfac80320003742d/00001-1276801242.webp
https://files.tungsten.run/uploads/71a4cf9aec204923a8e1ad5a701ab24b/00002-1276801243.webp
This example was created by evevalentine2017
Finished in 93.0 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: text:"BATTLE OF LEPANTO 1571" above an oil painting depicting the intense and epic Battle of Lepanto in 1571, one of the most famous naval battles in history,painted in the dramatic and detailed style of a baroque master like Rembrandt. The scene is set against a chaotic seascape,with dark skies filled with cannon smoke and turbulent seas reflecting the ferocity of the battle. In the center of the composition stands out a Spanish caravel,with its mainsail billowing in the wind,adorned with the colors of the Holy League. On deck,the soldiers fight hand to hand with the Muslim Ottomans,whose galleys are next to it. The action is frenetic,with swords drawn,spears raised and arquebus fire illuminating the scene. The commander,Don Juan of Austria,leader of the Christian fleet,stands at the front of his galley,with an expression of determination and leadership. His armor gleams in the sunlight filtering through the clouds and smoke,highlighting his heroic figure. Near him,Christian soldiers and sailors appear in dynamic postures of struggle and effort,showing bravery and strength. Among these brave figures is Miguel de Cervantes,who at this historical moment was a soldier. Cervantes,depicted with a look of resolve and courage,fights valiantly despite the wounds that would eventually render his left hand useless,later known as "the hand of Lepanto". His presence adds a layer of literary heroism to the scene. In the background,the immensity of the galleys of the Holy League and the Ottoman fleet stretches out over the sea,sails unfurled and cannons firing. The air is filled with cannon smoke and the smell of gunpowder as the ships engage in a fierce struggle for control of the Mediterranean. The scene glorifies the Christians,highlighting their courage and determination. The details underline the nobility and sacrifice of the Christian soldiers,bravely facing the Ottoman forces. The flags of the Holy League fly proudly,symbolizing the unity and faith that drives them. The color palette should,, ultra quality, ultra detailed, photorealistic Full negative prompt: dull, boring, cartoon, painting, illustration, (worst quality, low quality, normal quality:1.8) 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:36, 1.25s/it] 7%|▋ | 2/30 [00:02<00:34, 1.23s/it] 10%|█ | 3/30 [00:03<00:33, 1.23s/it] 13%|█▎ | 4/30 [00:04<00:31, 1.22s/it] 17%|█▋ | 5/30 [00:06<00:30, 1.23s/it] 20%|██ | 6/30 [00:07<00:29, 1.23s/it] 23%|██▎ | 7/30 [00:08<00:28, 1.23s/it] 27%|██▋ | 8/30 [00:09<00:26, 1.23s/it] 30%|███ | 9/30 [00:11<00:25, 1.23s/it] 33%|███▎ | 10/30 [00:12<00:24, 1.23s/it] 37%|███▋ | 11/30 [00:13<00:23, 1.23s/it] 40%|████ | 12/30 [00:14<00:22, 1.23s/it] 43%|████▎ | 13/30 [00:15<00:20, 1.23s/it] 47%|████▋ | 14/30 [00:17<00:19, 1.23s/it] 50%|█████ | 15/30 [00:18<00:18, 1.23s/it] 53%|█████▎ | 16/30 [00:19<00:17, 1.23s/it] 57%|█████▋ | 17/30 [00:20<00:16, 1.23s/it] 60%|██████ | 18/30 [00:22<00:14, 1.23s/it] 63%|██████▎ | 19/30 [00:23<00:13, 1.24s/it] 67%|██████▋ | 20/30 [00:24<00:12, 1.24s/it] 70%|███████ | 21/30 [00:25<00:11, 1.24s/it] 73%|███████▎ | 22/30 [00:27<00:09, 1.24s/it] 77%|███████▋ | 23/30 [00:28<00:08, 1.24s/it] 80%|████████ | 24/30 [00:29<00:07, 1.31s/it] 83%|████████▎ | 25/30 [00:31<00:06, 1.29s/it] 87%|████████▋ | 26/30 [00:32<00:05, 1.28s/it] 90%|█████████ | 27/30 [00:33<00:03, 1.27s/it] 93%|█████████▎| 28/30 [00:34<00:02, 1.26s/it] 97%|█████████▋| 29/30 [00:36<00:01, 1.26s/it] 100%|██████████| 30/30 [00:37<00:00, 1.26s/it] 100%|██████████| 30/30 [00:37<00:00, 1.24s/it] Decoding latents in cuda:0... done in 2.34s Move latents to cpu... done in 0.03s
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/6428ab5276f84e1e9384776727c8b524/00000-1276801241.webp
https://files.tungsten.run/uploads/192f3b1f7a3847cdbfac80320003742d/00001-1276801242.webp
https://files.tungsten.run/uploads/71a4cf9aec204923a8e1ad5a701ab24b/00002-1276801243.webp
This example was created by evevalentine2017
Finished in 93.0 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: text:"BATTLE OF LEPANTO 1571" above an oil painting depicting the intense and epic Battle of Lepanto in 1571, one of the most famous naval battles in history,painted in the dramatic and detailed style of a baroque master like Rembrandt. The scene is set against a chaotic seascape,with dark skies filled with cannon smoke and turbulent seas reflecting the ferocity of the battle. In the center of the composition stands out a Spanish caravel,with its mainsail billowing in the wind,adorned with the colors of the Holy League. On deck,the soldiers fight hand to hand with the Muslim Ottomans,whose galleys are next to it. The action is frenetic,with swords drawn,spears raised and arquebus fire illuminating the scene. The commander,Don Juan of Austria,leader of the Christian fleet,stands at the front of his galley,with an expression of determination and leadership. His armor gleams in the sunlight filtering through the clouds and smoke,highlighting his heroic figure. Near him,Christian soldiers and sailors appear in dynamic postures of struggle and effort,showing bravery and strength. Among these brave figures is Miguel de Cervantes,who at this historical moment was a soldier. Cervantes,depicted with a look of resolve and courage,fights valiantly despite the wounds that would eventually render his left hand useless,later known as "the hand of Lepanto". His presence adds a layer of literary heroism to the scene. In the background,the immensity of the galleys of the Holy League and the Ottoman fleet stretches out over the sea,sails unfurled and cannons firing. The air is filled with cannon smoke and the smell of gunpowder as the ships engage in a fierce struggle for control of the Mediterranean. The scene glorifies the Christians,highlighting their courage and determination. The details underline the nobility and sacrifice of the Christian soldiers,bravely facing the Ottoman forces. The flags of the Holy League fly proudly,symbolizing the unity and faith that drives them. The color palette should,, ultra quality, ultra detailed, photorealistic Full negative prompt: dull, boring, cartoon, painting, illustration, (worst quality, low quality, normal quality:1.8) 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:36, 1.25s/it] 7%|▋ | 2/30 [00:02<00:34, 1.23s/it] 10%|█ | 3/30 [00:03<00:33, 1.23s/it] 13%|█▎ | 4/30 [00:04<00:31, 1.22s/it] 17%|█▋ | 5/30 [00:06<00:30, 1.23s/it] 20%|██ | 6/30 [00:07<00:29, 1.23s/it] 23%|██▎ | 7/30 [00:08<00:28, 1.23s/it] 27%|██▋ | 8/30 [00:09<00:26, 1.23s/it] 30%|███ | 9/30 [00:11<00:25, 1.23s/it] 33%|███▎ | 10/30 [00:12<00:24, 1.23s/it] 37%|███▋ | 11/30 [00:13<00:23, 1.23s/it] 40%|████ | 12/30 [00:14<00:22, 1.23s/it] 43%|████▎ | 13/30 [00:15<00:20, 1.23s/it] 47%|████▋ | 14/30 [00:17<00:19, 1.23s/it] 50%|█████ | 15/30 [00:18<00:18, 1.23s/it] 53%|█████▎ | 16/30 [00:19<00:17, 1.23s/it] 57%|█████▋ | 17/30 [00:20<00:16, 1.23s/it] 60%|██████ | 18/30 [00:22<00:14, 1.23s/it] 63%|██████▎ | 19/30 [00:23<00:13, 1.24s/it] 67%|██████▋ | 20/30 [00:24<00:12, 1.24s/it] 70%|███████ | 21/30 [00:25<00:11, 1.24s/it] 73%|███████▎ | 22/30 [00:27<00:09, 1.24s/it] 77%|███████▋ | 23/30 [00:28<00:08, 1.24s/it] 80%|████████ | 24/30 [00:29<00:07, 1.31s/it] 83%|████████▎ | 25/30 [00:31<00:06, 1.29s/it] 87%|████████▋ | 26/30 [00:32<00:05, 1.28s/it] 90%|█████████ | 27/30 [00:33<00:03, 1.27s/it] 93%|█████████▎| 28/30 [00:34<00:02, 1.26s/it] 97%|█████████▋| 29/30 [00:36<00:01, 1.26s/it] 100%|██████████| 30/30 [00:37<00:00, 1.26s/it] 100%|██████████| 30/30 [00:37<00:00, 1.24s/it] Decoding latents in cuda:0... done in 2.34s Move latents to cpu... done in 0.03s