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Military Factory with Tri Shaper Turbo XL
tri-shaper-turbo-xl:lightning
evevalentine2017
evevalentine2017
·
Mar 4
349
Input
prompt
Specify things to see in the output
futuristic, a huge military factory made of steel, glass, fog, sun, in the clouds, futuristic military planes, moody tones, old style ink cover illustration, on parchment, (real landscape:1.1), (blurred background:1.0), great lighting, clear, stacked
negative_prompt
Specify things to not see in the output
bad quality, blurry, multiple limbs,
num_outputs
Number of output images
3
width
Output image width
1024
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
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
0
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++ 2S a
samping_steps
Number of denoising steps
6
cfg_scale
Scale for classifier-free guidance
1
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
sdxl_vae.safetensors
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.
false
Output
https://files.tungsten.run/uploads/d1aba0c68bdc4becb32cc0ea0b0e27ed/00000-0.webp
https://files.tungsten.run/uploads/8fbd9bc882b84551ab088b466c44789c/00001-1.webp
https://files.tungsten.run/uploads/f8ec7e86a44a461ea112a38b08d58e5d/00002-2.webp
Finished in 20.5 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: futuristic, a huge military factory made of steel, glass, fog, sun, in the clouds, futuristic military planes, moody tones, old style ink cover illustration, on parchment, (real landscape:1.1), (blurred background:1.0), great lighting, clear, stacked Full negative prompt: bad quality, blurry, multiple limbs, 0%| | 0/6 [00:00<?, ?it/s] 17%|█▋ | 1/6 [00:01<00:09, 1.89s/it] 33%|███▎ | 2/6 [00:03<00:07, 1.89s/it] 50%|█████ | 3/6 [00:05<00:05, 1.90s/it] 67%|██████▋ | 4/6 [00:07<00:03, 1.91s/it] 83%|████████▎ | 5/6 [00:09<00:01, 1.91s/it] 100%|██████████| 6/6 [00:10<00:00, 1.57s/it] 100%|██████████| 6/6 [00:10<00:00, 1.74s/it] Decoding latents in cuda:0... done in 1.72s Move latents to cpu... done in 0.02s 0: 480x640 (no detections), 156.5ms Speed: 3.2ms preprocess, 156.5ms inference, 8.8ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 480x640 (no detections), 9.9ms Speed: 2.4ms preprocess, 9.9ms inference, 0.9ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 480x640 (no detections), 8.1ms Speed: 2.4ms preprocess, 8.1ms inference, 0.7ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. Uploading outputs... Finished.
prompt
Specify things to see in the output
futuristic, a huge military factory made of steel, glass, fog, sun, in the clouds, futuristic military planes, moody tones, old style ink cover illustration, on parchment, (real landscape:1.1), (blurred background:1.0), great lighting, clear, stacked
negative_prompt
Specify things to not see in the output
bad quality, blurry, multiple limbs,
num_outputs
Number of output images
3
width
Output image width
1024
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
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
0
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++ 2S a
samping_steps
Number of denoising steps
6
cfg_scale
Scale for classifier-free guidance
1
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
sdxl_vae.safetensors
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.
false
https://files.tungsten.run/uploads/d1aba0c68bdc4becb32cc0ea0b0e27ed/00000-0.webp
https://files.tungsten.run/uploads/8fbd9bc882b84551ab088b466c44789c/00001-1.webp
https://files.tungsten.run/uploads/f8ec7e86a44a461ea112a38b08d58e5d/00002-2.webp
Finished in 20.5 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: futuristic, a huge military factory made of steel, glass, fog, sun, in the clouds, futuristic military planes, moody tones, old style ink cover illustration, on parchment, (real landscape:1.1), (blurred background:1.0), great lighting, clear, stacked Full negative prompt: bad quality, blurry, multiple limbs, 0%| | 0/6 [00:00<?, ?it/s] 17%|█▋ | 1/6 [00:01<00:09, 1.89s/it] 33%|███▎ | 2/6 [00:03<00:07, 1.89s/it] 50%|█████ | 3/6 [00:05<00:05, 1.90s/it] 67%|██████▋ | 4/6 [00:07<00:03, 1.91s/it] 83%|████████▎ | 5/6 [00:09<00:01, 1.91s/it] 100%|██████████| 6/6 [00:10<00:00, 1.57s/it] 100%|██████████| 6/6 [00:10<00:00, 1.74s/it] Decoding latents in cuda:0... done in 1.72s Move latents to cpu... done in 0.02s 0: 480x640 (no detections), 156.5ms Speed: 3.2ms preprocess, 156.5ms inference, 8.8ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 480x640 (no detections), 9.9ms Speed: 2.4ms preprocess, 9.9ms inference, 0.9ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 480x640 (no detections), 8.1ms Speed: 2.4ms preprocess, 8.1ms inference, 0.7ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. Uploading outputs... Finished.