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Full Armor with Pony photo real merge x3 v1.0
Pony photo real merge x3:v1.0
sparks
sparks
·
Jul 20
11
Input
prompt
Specify things to see in the output
score_9, score_8_up, score_7_up, score_6_up, score_5_up, score_4_up, source_photo, source_real, artful dreamy masterpiece, Detailed Armor Design with Historical Inspiration: A character clad in meticulously crafted shiny polished armor that reflects a specific historical period, incorporating intricate engravings and weathered textures to convey a sense of stoicism and battle-hardened resilience (think Vinland Saga), in a castle
negative_prompt
Specify things to not see in the output
PonyDetail_V20
Pony Detail V20
1
num_outputs
Number of output images
3
width
Output image width
960
height
Output image height
1280
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
0.4
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.
3726314953
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
Euler a
samping_steps
Number of denoising steps
31
cfg_scale
Scale for classifier-free guidance
7
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/0ec9c6fa406243389ef40c254c5c7c81/output-ed0c37c0bd7744e7aebb771680f07692-00000-3726314953.webp
https://files.tungsten.run/uploads/2cc4923b4c324bdfb6da3643ef73a4d2/output-2fd6594483674b0993380c59b8e230b0-00001-3726314954.webp
https://files.tungsten.run/uploads/aa85222b105246208c17a9150350c651/output-a0bcf8204c5b49e1aebc6f66acf8d35a-00002-3726314955.webp
Finished in 94.0 seconds
Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: score_9, score_8_up, score_7_up, score_6_up, score_5_up, score_4_up, source_photo, source_real, artful dreamy masterpiece, Detailed Armor Design with Historical Inspiration: A character clad in meticulously crafted shiny polished armor that reflects a specific historical period, incorporating intricate engravings and weathered textures to convey a sense of stoicism and battle-hardened resilience (think Vinland Saga), in a castle, <lora:Pony_DetailV2.0:1.0> Full negative prompt: 0%| | 0/31 [00:00<?, ?it/s] 3%|▎ | 1/31 [00:02<01:21, 2.72s/it] 6%|▋ | 2/31 [00:04<00:58, 2.01s/it] 10%|▉ | 3/31 [00:05<00:50, 1.79s/it] 13%|█▎ | 4/31 [00:07<00:45, 1.68s/it] 16%|█▌ | 5/31 [00:08<00:42, 1.62s/it] 19%|█▉ | 6/31 [00:10<00:39, 1.59s/it] 23%|██▎ | 7/31 [00:11<00:37, 1.56s/it] 26%|██▌ | 8/31 [00:13<00:35, 1.55s/it] 29%|██▉ | 9/31 [00:14<00:34, 1.55s/it] 32%|███▏ | 10/31 [00:16<00:32, 1.54s/it] 35%|███▌ | 11/31 [00:17<00:30, 1.54s/it] 39%|███▊ | 12/31 [00:19<00:29, 1.54s/it] 42%|████▏ | 13/31 [00:21<00:27, 1.54s/it] 45%|████▌ | 14/31 [00:22<00:26, 1.54s/it] 48%|████▊ | 15/31 [00:24<00:24, 1.54s/it] 52%|█████▏ | 16/31 [00:25<00:23, 1.54s/it] 55%|█████▍ | 17/31 [00:27<00:21, 1.54s/it] 58%|█████▊ | 18/31 [00:28<00:20, 1.55s/it] 61%|██████▏ | 19/31 [00:30<00:18, 1.55s/it] 65%|██████▍ | 20/31 [00:31<00:17, 1.55s/it] 68%|██████▊ | 21/31 [00:33<00:15, 1.55s/it] 71%|███████ | 22/31 [00:34<00:13, 1.55s/it] 74%|███████▍ | 23/31 [00:36<00:12, 1.55s/it] 77%|███████▋ | 24/31 [00:38<00:10, 1.55s/it] 81%|████████ | 25/31 [00:39<00:09, 1.55s/it] 84%|████████▍ | 26/31 [00:41<00:07, 1.55s/it] 87%|████████▋ | 27/31 [00:42<00:06, 1.55s/it] 90%|█████████ | 28/31 [00:44<00:04, 1.55s/it] 94%|█████████▎| 29/31 [00:45<00:03, 1.54s/it] 97%|█████████▋| 30/31 [00:47<00:01, 1.65s/it] 100%|██████████| 31/31 [00:49<00:00, 1.60s/it] 100%|██████████| 31/31 [00:49<00:00, 1.59s/it] Decoding latents in cuda:0... done in 2.87s Move latents to cpu... done in 0.04s 0: 640x480 1 face, 157.3ms Speed: 2.4ms preprocess, 157.3ms inference, 29.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:08, 1.34it/s] 15%|█▌ | 2/13 [00:01<00:07, 1.48it/s] 23%|██▎ | 3/13 [00:02<00:06, 1.53it/s] 31%|███ | 4/13 [00:02<00:05, 1.56it/s] 38%|███▊ | 5/13 [00:03<00:05, 1.57it/s] 46%|████▌ | 6/13 [00:03<00:04, 1.58it/s] 54%|█████▍ | 7/13 [00:04<00:03, 1.58it/s] 62%|██████▏ | 8/13 [00:05<00:03, 1.58it/s] 69%|██████▉ | 9/13 [00:05<00:02, 1.57it/s] 77%|███████▋ | 10/13 [00:06<00:01, 1.57it/s] 85%|████████▍ | 11/13 [00:07<00:01, 1.58it/s] 92%|█████████▏| 12/13 [00:07<00:00, 1.59it/s] 100%|██████████| 13/13 [00:08<00:00, 1.52it/s] 100%|██████████| 13/13 [00:08<00:00, 1.55it/s] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.0ms Speed: 2.1ms preprocess, 8.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:07, 1.58it/s] 15%|█▌ | 2/13 [00:01<00:07, 1.53it/s] 23%|██▎ | 3/13 [00:02<00:07, 1.39it/s] 31%|███ | 4/13 [00:02<00:06, 1.45it/s] 38%|███▊ | 5/13 [00:03<00:05, 1.49it/s] 46%|████▌ | 6/13 [00:04<00:04, 1.51it/s] 54%|█████▍ | 7/13 [00:04<00:03, 1.54it/s] 62%|██████▏ | 8/13 [00:05<00:03, 1.55it/s] 69%|██████▉ | 9/13 [00:05<00:02, 1.55it/s] 77%|███████▋ | 10/13 [00:06<00:01, 1.54it/s] 85%|████████▍ | 11/13 [00:07<00:01, 1.56it/s] 92%|█████████▏| 12/13 [00:07<00:00, 1.57it/s] 100%|██████████| 13/13 [00:08<00:00, 1.58it/s] 100%|██████████| 13/13 [00:08<00:00, 1.53it/s] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.3ms Speed: 2.0ms preprocess, 8.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:07, 1.54it/s] 15%|█▌ | 2/13 [00:01<00:07, 1.55it/s] 23%|██▎ | 3/13 [00:01<00:06, 1.57it/s] 31%|███ | 4/13 [00:02<00:05, 1.59it/s] 38%|███▊ | 5/13 [00:03<00:05, 1.58it/s] 46%|████▌ | 6/13 [00:03<00:04, 1.59it/s] 54%|█████▍ | 7/13 [00:04<00:03, 1.59it/s] 62%|██████▏ | 8/13 [00:05<00:03, 1.59it/s] 69%|██████▉ | 9/13 [00:05<00:02, 1.59it/s] 77%|███████▋ | 10/13 [00:06<00:01, 1.59it/s] 85%|████████▍ | 11/13 [00:06<00:01, 1.59it/s] 92%|█████████▏| 12/13 [00:07<00:00, 1.60it/s] 100%|██████████| 13/13 [00:08<00:00, 1.59it/s] 100%|██████████| 13/13 [00:08<00:00, 1.58it/s] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.0s Uploading files.. Finished.
prompt
Specify things to see in the output
score_9, score_8_up, score_7_up, score_6_up, score_5_up, score_4_up, source_photo, source_real, artful dreamy masterpiece, Detailed Armor Design with Historical Inspiration: A character clad in meticulously crafted shiny polished armor that reflects a specific historical period, incorporating intricate engravings and weathered textures to convey a sense of stoicism and battle-hardened resilience (think Vinland Saga), in a castle
negative_prompt
Specify things to not see in the output
PonyDetail_V20
Pony Detail V20
1
num_outputs
Number of output images
3
width
Output image width
960
height
Output image height
1280
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
0.4
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.
3726314953
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
Euler a
samping_steps
Number of denoising steps
31
cfg_scale
Scale for classifier-free guidance
7
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/0ec9c6fa406243389ef40c254c5c7c81/output-ed0c37c0bd7744e7aebb771680f07692-00000-3726314953.webp
https://files.tungsten.run/uploads/2cc4923b4c324bdfb6da3643ef73a4d2/output-2fd6594483674b0993380c59b8e230b0-00001-3726314954.webp
https://files.tungsten.run/uploads/aa85222b105246208c17a9150350c651/output-a0bcf8204c5b49e1aebc6f66acf8d35a-00002-3726314955.webp
Finished in 94.0 seconds
Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: score_9, score_8_up, score_7_up, score_6_up, score_5_up, score_4_up, source_photo, source_real, artful dreamy masterpiece, Detailed Armor Design with Historical Inspiration: A character clad in meticulously crafted shiny polished armor that reflects a specific historical period, incorporating intricate engravings and weathered textures to convey a sense of stoicism and battle-hardened resilience (think Vinland Saga), in a castle, <lora:Pony_DetailV2.0:1.0> Full negative prompt: 0%| | 0/31 [00:00<?, ?it/s] 3%|▎ | 1/31 [00:02<01:21, 2.72s/it] 6%|▋ | 2/31 [00:04<00:58, 2.01s/it] 10%|▉ | 3/31 [00:05<00:50, 1.79s/it] 13%|█▎ | 4/31 [00:07<00:45, 1.68s/it] 16%|█▌ | 5/31 [00:08<00:42, 1.62s/it] 19%|█▉ | 6/31 [00:10<00:39, 1.59s/it] 23%|██▎ | 7/31 [00:11<00:37, 1.56s/it] 26%|██▌ | 8/31 [00:13<00:35, 1.55s/it] 29%|██▉ | 9/31 [00:14<00:34, 1.55s/it] 32%|███▏ | 10/31 [00:16<00:32, 1.54s/it] 35%|███▌ | 11/31 [00:17<00:30, 1.54s/it] 39%|███▊ | 12/31 [00:19<00:29, 1.54s/it] 42%|████▏ | 13/31 [00:21<00:27, 1.54s/it] 45%|████▌ | 14/31 [00:22<00:26, 1.54s/it] 48%|████▊ | 15/31 [00:24<00:24, 1.54s/it] 52%|█████▏ | 16/31 [00:25<00:23, 1.54s/it] 55%|█████▍ | 17/31 [00:27<00:21, 1.54s/it] 58%|█████▊ | 18/31 [00:28<00:20, 1.55s/it] 61%|██████▏ | 19/31 [00:30<00:18, 1.55s/it] 65%|██████▍ | 20/31 [00:31<00:17, 1.55s/it] 68%|██████▊ | 21/31 [00:33<00:15, 1.55s/it] 71%|███████ | 22/31 [00:34<00:13, 1.55s/it] 74%|███████▍ | 23/31 [00:36<00:12, 1.55s/it] 77%|███████▋ | 24/31 [00:38<00:10, 1.55s/it] 81%|████████ | 25/31 [00:39<00:09, 1.55s/it] 84%|████████▍ | 26/31 [00:41<00:07, 1.55s/it] 87%|████████▋ | 27/31 [00:42<00:06, 1.55s/it] 90%|█████████ | 28/31 [00:44<00:04, 1.55s/it] 94%|█████████▎| 29/31 [00:45<00:03, 1.54s/it] 97%|█████████▋| 30/31 [00:47<00:01, 1.65s/it] 100%|██████████| 31/31 [00:49<00:00, 1.60s/it] 100%|██████████| 31/31 [00:49<00:00, 1.59s/it] Decoding latents in cuda:0... done in 2.87s Move latents to cpu... done in 0.04s 0: 640x480 1 face, 157.3ms Speed: 2.4ms preprocess, 157.3ms inference, 29.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:08, 1.34it/s] 15%|█▌ | 2/13 [00:01<00:07, 1.48it/s] 23%|██▎ | 3/13 [00:02<00:06, 1.53it/s] 31%|███ | 4/13 [00:02<00:05, 1.56it/s] 38%|███▊ | 5/13 [00:03<00:05, 1.57it/s] 46%|████▌ | 6/13 [00:03<00:04, 1.58it/s] 54%|█████▍ | 7/13 [00:04<00:03, 1.58it/s] 62%|██████▏ | 8/13 [00:05<00:03, 1.58it/s] 69%|██████▉ | 9/13 [00:05<00:02, 1.57it/s] 77%|███████▋ | 10/13 [00:06<00:01, 1.57it/s] 85%|████████▍ | 11/13 [00:07<00:01, 1.58it/s] 92%|█████████▏| 12/13 [00:07<00:00, 1.59it/s] 100%|██████████| 13/13 [00:08<00:00, 1.52it/s] 100%|██████████| 13/13 [00:08<00:00, 1.55it/s] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.0ms Speed: 2.1ms preprocess, 8.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:07, 1.58it/s] 15%|█▌ | 2/13 [00:01<00:07, 1.53it/s] 23%|██▎ | 3/13 [00:02<00:07, 1.39it/s] 31%|███ | 4/13 [00:02<00:06, 1.45it/s] 38%|███▊ | 5/13 [00:03<00:05, 1.49it/s] 46%|████▌ | 6/13 [00:04<00:04, 1.51it/s] 54%|█████▍ | 7/13 [00:04<00:03, 1.54it/s] 62%|██████▏ | 8/13 [00:05<00:03, 1.55it/s] 69%|██████▉ | 9/13 [00:05<00:02, 1.55it/s] 77%|███████▋ | 10/13 [00:06<00:01, 1.54it/s] 85%|████████▍ | 11/13 [00:07<00:01, 1.56it/s] 92%|█████████▏| 12/13 [00:07<00:00, 1.57it/s] 100%|██████████| 13/13 [00:08<00:00, 1.58it/s] 100%|██████████| 13/13 [00:08<00:00, 1.53it/s] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.3ms Speed: 2.0ms preprocess, 8.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:07, 1.54it/s] 15%|█▌ | 2/13 [00:01<00:07, 1.55it/s] 23%|██▎ | 3/13 [00:01<00:06, 1.57it/s] 31%|███ | 4/13 [00:02<00:05, 1.59it/s] 38%|███▊ | 5/13 [00:03<00:05, 1.58it/s] 46%|████▌ | 6/13 [00:03<00:04, 1.59it/s] 54%|█████▍ | 7/13 [00:04<00:03, 1.59it/s] 62%|██████▏ | 8/13 [00:05<00:03, 1.59it/s] 69%|██████▉ | 9/13 [00:05<00:02, 1.59it/s] 77%|███████▋ | 10/13 [00:06<00:01, 1.59it/s] 85%|████████▍ | 11/13 [00:06<00:01, 1.59it/s] 92%|█████████▏| 12/13 [00:07<00:00, 1.60it/s] 100%|██████████| 13/13 [00:08<00:00, 1.59it/s] 100%|██████████| 13/13 [00:08<00:00, 1.58it/s] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.0s Uploading files.. Finished.