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Templar Knights with Tri Shaper Turbo XL
tri-shaper-turbo-xl:lightning
evevalentine2017
evevalentine2017
·
Mar 4
372
Input
prompt
Specify things to see in the output
macro full body of a knights templar, 100mm f/2.8 macro lens, skin pores, imperfections, pores, moustache, macro, extreme details, looking at viewer,
negative_prompt
Specify things to not see in the output
bad quality, blurry, multiple limbs, portrait, nsfw, nipples
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1024
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
1.2
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/03ec77a51c154bee89589428808548a7/00000-0.webp
https://files.tungsten.run/uploads/a8b550e0352c412388d9599d5646b744/00001-1.webp
https://files.tungsten.run/uploads/579e9692aa824d08bed71eccf9b5cc46/00002-2.webp
Finished in 32.8 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: macro full body of a knights templar, 100mm f/2.8 macro lens, skin pores, imperfections, pores, moustache, macro, extreme details, looking at viewer, Full negative prompt: bad quality, blurry, multiple limbs, portrait, nsfw, nipples 0%| | 0/6 [00:00<?, ?it/s] 17%|█▋ | 1/6 [00:01<00:09, 1.89s/it] 33%|███▎ | 2/6 [00:03<00:07, 1.88s/it] 50%|█████ | 3/6 [00:05<00:05, 1.88s/it] 67%|██████▋ | 4/6 [00:07<00:03, 1.89s/it] 83%|████████▎ | 5/6 [00:09<00:01, 1.89s/it] 100%|██████████| 6/6 [00:10<00:00, 1.57s/it] 100%|██████████| 6/6 [00:10<00:00, 1.73s/it] Decoding latents in cuda:0... done in 1.73s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 160.8ms Speed: 3.3ms preprocess, 160.8ms inference, 30.2ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:00<00:01, 1.26it/s] 67%|██████▋ | 2/3 [00:01<00:00, 1.39it/s] 100%|██████████| 3/3 [00:01<00:00, 1.83it/s] 100%|██████████| 3/3 [00:01<00:00, 1.67it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0: 640x480 2 faces, 13.1ms Speed: 3.5ms preprocess, 13.1ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:00<00:01, 1.50it/s] 67%|██████▋ | 2/3 [00:01<00:00, 1.44it/s] 100%|██████████| 3/3 [00:01<00:00, 1.90it/s] 100%|██████████| 3/3 [00:01<00:00, 1.76it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:00<00:01, 1.43it/s] 67%|██████▋ | 2/3 [00:01<00:00, 1.46it/s] 100%|██████████| 3/3 [00:01<00:00, 1.91it/s] 100%|██████████| 3/3 [00:01<00:00, 1.76it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 7.9ms Speed: 2.5ms preprocess, 7.9ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:00<00:01, 1.45it/s] 67%|██████▋ | 2/3 [00:01<00:00, 1.45it/s] 100%|██████████| 3/3 [00:01<00:00, 1.91it/s] 100%|██████████| 3/3 [00:01<00:00, 1.76it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
macro full body of a knights templar, 100mm f/2.8 macro lens, skin pores, imperfections, pores, moustache, macro, extreme details, looking at viewer,
negative_prompt
Specify things to not see in the output
bad quality, blurry, multiple limbs, portrait, nsfw, nipples
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1024
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
1.2
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/03ec77a51c154bee89589428808548a7/00000-0.webp
https://files.tungsten.run/uploads/a8b550e0352c412388d9599d5646b744/00001-1.webp
https://files.tungsten.run/uploads/579e9692aa824d08bed71eccf9b5cc46/00002-2.webp
Finished in 32.8 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: macro full body of a knights templar, 100mm f/2.8 macro lens, skin pores, imperfections, pores, moustache, macro, extreme details, looking at viewer, Full negative prompt: bad quality, blurry, multiple limbs, portrait, nsfw, nipples 0%| | 0/6 [00:00<?, ?it/s] 17%|█▋ | 1/6 [00:01<00:09, 1.89s/it] 33%|███▎ | 2/6 [00:03<00:07, 1.88s/it] 50%|█████ | 3/6 [00:05<00:05, 1.88s/it] 67%|██████▋ | 4/6 [00:07<00:03, 1.89s/it] 83%|████████▎ | 5/6 [00:09<00:01, 1.89s/it] 100%|██████████| 6/6 [00:10<00:00, 1.57s/it] 100%|██████████| 6/6 [00:10<00:00, 1.73s/it] Decoding latents in cuda:0... done in 1.73s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 160.8ms Speed: 3.3ms preprocess, 160.8ms inference, 30.2ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:00<00:01, 1.26it/s] 67%|██████▋ | 2/3 [00:01<00:00, 1.39it/s] 100%|██████████| 3/3 [00:01<00:00, 1.83it/s] 100%|██████████| 3/3 [00:01<00:00, 1.67it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0: 640x480 2 faces, 13.1ms Speed: 3.5ms preprocess, 13.1ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:00<00:01, 1.50it/s] 67%|██████▋ | 2/3 [00:01<00:00, 1.44it/s] 100%|██████████| 3/3 [00:01<00:00, 1.90it/s] 100%|██████████| 3/3 [00:01<00:00, 1.76it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:00<00:01, 1.43it/s] 67%|██████▋ | 2/3 [00:01<00:00, 1.46it/s] 100%|██████████| 3/3 [00:01<00:00, 1.91it/s] 100%|██████████| 3/3 [00:01<00:00, 1.76it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 7.9ms Speed: 2.5ms preprocess, 7.9ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:00<00:01, 1.45it/s] 67%|██████▋ | 2/3 [00:01<00:00, 1.45it/s] 100%|██████████| 3/3 [00:01<00:00, 1.91it/s] 100%|██████████| 3/3 [00:01<00:00, 1.76it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s Uploading outputs... Finished.