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WAI-REAL_E
WAI-REAL_E

WAI-REAL_E

58 stars
1 running now
Version: v1.0
Input
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
PonyDetailerV20
Pony Detailer V20
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/1d166ad4a10f4576bd51ca42d46e3a7e/output-c32434fc4b6b4e95be2cfbf57a914637-00000-3087444686.webp
https://files.tungsten.run/uploads/b80e8f2b62c14bc1af4b04336e0f6b56/output-57b5551859a34708950a37d862ade771-00001-3087444687.webp
https://files.tungsten.run/uploads/4def917080044c39a1ae60382af9d330/output-d1315ca2098345268f9490559ee04a1a-00002-3087444688.webp
This example was created by sparks
Finished in 59.0 seconds
Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: score_9, score_8_up, score_7_up, gorgeous lips, cinematic, very beautiful girl, The archangel is depicted in his divine form a majestic, serene figure with a radiant aura. Her face is calm and compassionate, She is adorned with a shining halo and resplendent golden armor that reflects his celestial origins. Her wings are large, white, and feathery, spreading out behind him in a display of divine grace. sexy outfit, big breasts, <lora:Pony_DetailV2.0:1.0> Full negative prompt: 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:00<00:25, 1.13it/s] 7%|▋ | 2/30 [00:01<00:25, 1.12it/s] 10%|█ | 3/30 [00:02<00:24, 1.11it/s] 13%|█▎ | 4/30 [00:03<00:23, 1.11it/s] 17%|█▋ | 5/30 [00:04<00:22, 1.11it/s] 20%|██ | 6/30 [00:05<00:21, 1.11it/s] 23%|██▎ | 7/30 [00:06<00:20, 1.10it/s] 27%|██▋ | 8/30 [00:07<00:19, 1.11it/s] 30%|███ | 9/30 [00:08<00:18, 1.11it/s] 33%|███▎ | 10/30 [00:09<00:18, 1.11it/s] 37%|███▋ | 11/30 [00:09<00:17, 1.10it/s] 40%|████ | 12/30 [00:10<00:16, 1.11it/s] 43%|████▎ | 13/30 [00:11<00:15, 1.11it/s] 47%|████▋ | 14/30 [00:12<00:14, 1.10it/s] 50%|█████ | 15/30 [00:13<00:13, 1.10it/s] 53%|█████▎ | 16/30 [00:14<00:12, 1.10it/s] 57%|█████▋ | 17/30 [00:15<00:11, 1.10it/s] 60%|██████ | 18/30 [00:16<00:10, 1.10it/s] 63%|██████▎ | 19/30 [00:17<00:09, 1.10it/s] 67%|██████▋ | 20/30 [00:18<00:09, 1.10it/s] 70%|███████ | 21/30 [00:19<00:08, 1.10it/s] 73%|███████▎ | 22/30 [00:19<00:07, 1.10it/s] 77%|███████▋ | 23/30 [00:20<00:06, 1.10it/s] 80%|████████ | 24/30 [00:21<00:05, 1.09it/s] 83%|████████▎ | 25/30 [00:22<00:04, 1.09it/s] 87%|████████▋ | 26/30 [00:23<00:03, 1.09it/s] 90%|█████████ | 27/30 [00:24<00:02, 1.09it/s] 93%|█████████▎| 28/30 [00:25<00:01, 1.09it/s] 97%|█████████▋| 29/30 [00:26<00:00, 1.09it/s] 100%|██████████| 30/30 [00:27<00:00, 1.10it/s] 100%|██████████| 30/30 [00:27<00:00, 1.10it/s] Decoding latents in cuda:0... done in 1.77s Move latents to cpu... done in 0.02s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:07, 1.62it/s] 15%|█▌ | 2/13 [00:01<00:06, 1.63it/s] 23%|██▎ | 3/13 [00:01<00:06, 1.64it/s] 31%|███ | 4/13 [00:02<00:05, 1.64it/s] 38%|███▊ | 5/13 [00:03<00:04, 1.64it/s] 46%|████▌ | 6/13 [00:03<00:04, 1.64it/s] 54%|█████▍ | 7/13 [00:04<00:03, 1.64it/s] 62%|██████▏ | 8/13 [00:04<00:03, 1.63it/s] 69%|██████▉ | 9/13 [00:05<00:02, 1.36it/s] 77%|███████▋ | 10/13 [00:06<00:02, 1.44it/s] 85%|████████▍ | 11/13 [00:07<00:01, 1.49it/s] 92%|█████████▏| 12/13 [00:07<00:00, 1.53it/s] 100%|██████████| 13/13 [00:08<00:00, 1.55it/s] 100%|██████████| 13/13 [00:08<00:00, 1.56it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:07, 1.60it/s] 15%|█▌ | 2/13 [00:01<00:06, 1.63it/s] 23%|██▎ | 3/13 [00:01<00:06, 1.62it/s] 31%|███ | 4/13 [00:02<00:05, 1.63it/s] 38%|███▊ | 5/13 [00:03<00:04, 1.62it/s] 46%|████▌ | 6/13 [00:03<00:04, 1.61it/s] 54%|█████▍ | 7/13 [00:04<00:03, 1.62it/s] 62%|██████▏ | 8/13 [00:04<00:03, 1.63it/s] 69%|██████▉ | 9/13 [00:05<00:02, 1.63it/s] 77%|███████▋ | 10/13 [00:06<00:01, 1.63it/s] 85%|████████▍ | 11/13 [00:06<00:01, 1.62it/s] 92%|█████████▏| 12/13 [00:07<00:00, 1.62it/s] 100%|██████████| 13/13 [00:08<00:00, 1.61it/s] 100%|██████████| 13/13 [00:08<00:00, 1.62it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:07, 1.65it/s] 15%|█▌ | 2/13 [00:01<00:06, 1.62it/s] 23%|██▎ | 3/13 [00:01<00:06, 1.62it/s] 31%|███ | 4/13 [00:02<00:05, 1.62it/s] 38%|███▊ | 5/13 [00:03<00:04, 1.63it/s] 46%|████▌ | 6/13 [00:03<00:04, 1.64it/s] 54%|█████▍ | 7/13 [00:04<00:03, 1.63it/s] 62%|██████▏ | 8/13 [00:04<00:03, 1.64it/s] 69%|██████▉ | 9/13 [00:05<00:02, 1.63it/s] 77%|███████▋ | 10/13 [00:06<00:01, 1.62it/s] 85%|████████▍ | 11/13 [00:06<00:01, 1.63it/s] 92%|█████████▏| 12/13 [00:07<00:00, 1.64it/s] 100%|██████████| 13/13 [00:07<00:00, 1.65it/s] 100%|██████████| 13/13 [00:07<00:00, 1.64it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s Uploading files.. Finished.
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
PonyDetailerV20
Pony Detailer V20
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/1d166ad4a10f4576bd51ca42d46e3a7e/output-c32434fc4b6b4e95be2cfbf57a914637-00000-3087444686.webp
https://files.tungsten.run/uploads/b80e8f2b62c14bc1af4b04336e0f6b56/output-57b5551859a34708950a37d862ade771-00001-3087444687.webp
https://files.tungsten.run/uploads/4def917080044c39a1ae60382af9d330/output-d1315ca2098345268f9490559ee04a1a-00002-3087444688.webp
This example was created by sparks
Finished in 59.0 seconds
Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: score_9, score_8_up, score_7_up, gorgeous lips, cinematic, very beautiful girl, The archangel is depicted in his divine form a majestic, serene figure with a radiant aura. Her face is calm and compassionate, She is adorned with a shining halo and resplendent golden armor that reflects his celestial origins. Her wings are large, white, and feathery, spreading out behind him in a display of divine grace. sexy outfit, big breasts, <lora:Pony_DetailV2.0:1.0> Full negative prompt: 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:00<00:25, 1.13it/s] 7%|▋ | 2/30 [00:01<00:25, 1.12it/s] 10%|█ | 3/30 [00:02<00:24, 1.11it/s] 13%|█▎ | 4/30 [00:03<00:23, 1.11it/s] 17%|█▋ | 5/30 [00:04<00:22, 1.11it/s] 20%|██ | 6/30 [00:05<00:21, 1.11it/s] 23%|██▎ | 7/30 [00:06<00:20, 1.10it/s] 27%|██▋ | 8/30 [00:07<00:19, 1.11it/s] 30%|███ | 9/30 [00:08<00:18, 1.11it/s] 33%|███▎ | 10/30 [00:09<00:18, 1.11it/s] 37%|███▋ | 11/30 [00:09<00:17, 1.10it/s] 40%|████ | 12/30 [00:10<00:16, 1.11it/s] 43%|████▎ | 13/30 [00:11<00:15, 1.11it/s] 47%|████▋ | 14/30 [00:12<00:14, 1.10it/s] 50%|█████ | 15/30 [00:13<00:13, 1.10it/s] 53%|█████▎ | 16/30 [00:14<00:12, 1.10it/s] 57%|█████▋ | 17/30 [00:15<00:11, 1.10it/s] 60%|██████ | 18/30 [00:16<00:10, 1.10it/s] 63%|██████▎ | 19/30 [00:17<00:09, 1.10it/s] 67%|██████▋ | 20/30 [00:18<00:09, 1.10it/s] 70%|███████ | 21/30 [00:19<00:08, 1.10it/s] 73%|███████▎ | 22/30 [00:19<00:07, 1.10it/s] 77%|███████▋ | 23/30 [00:20<00:06, 1.10it/s] 80%|████████ | 24/30 [00:21<00:05, 1.09it/s] 83%|████████▎ | 25/30 [00:22<00:04, 1.09it/s] 87%|████████▋ | 26/30 [00:23<00:03, 1.09it/s] 90%|█████████ | 27/30 [00:24<00:02, 1.09it/s] 93%|█████████▎| 28/30 [00:25<00:01, 1.09it/s] 97%|█████████▋| 29/30 [00:26<00:00, 1.09it/s] 100%|██████████| 30/30 [00:27<00:00, 1.10it/s] 100%|██████████| 30/30 [00:27<00:00, 1.10it/s] Decoding latents in cuda:0... done in 1.77s Move latents to cpu... done in 0.02s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:07, 1.62it/s] 15%|█▌ | 2/13 [00:01<00:06, 1.63it/s] 23%|██▎ | 3/13 [00:01<00:06, 1.64it/s] 31%|███ | 4/13 [00:02<00:05, 1.64it/s] 38%|███▊ | 5/13 [00:03<00:04, 1.64it/s] 46%|████▌ | 6/13 [00:03<00:04, 1.64it/s] 54%|█████▍ | 7/13 [00:04<00:03, 1.64it/s] 62%|██████▏ | 8/13 [00:04<00:03, 1.63it/s] 69%|██████▉ | 9/13 [00:05<00:02, 1.36it/s] 77%|███████▋ | 10/13 [00:06<00:02, 1.44it/s] 85%|████████▍ | 11/13 [00:07<00:01, 1.49it/s] 92%|█████████▏| 12/13 [00:07<00:00, 1.53it/s] 100%|██████████| 13/13 [00:08<00:00, 1.55it/s] 100%|██████████| 13/13 [00:08<00:00, 1.56it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:07, 1.60it/s] 15%|█▌ | 2/13 [00:01<00:06, 1.63it/s] 23%|██▎ | 3/13 [00:01<00:06, 1.62it/s] 31%|███ | 4/13 [00:02<00:05, 1.63it/s] 38%|███▊ | 5/13 [00:03<00:04, 1.62it/s] 46%|████▌ | 6/13 [00:03<00:04, 1.61it/s] 54%|█████▍ | 7/13 [00:04<00:03, 1.62it/s] 62%|██████▏ | 8/13 [00:04<00:03, 1.63it/s] 69%|██████▉ | 9/13 [00:05<00:02, 1.63it/s] 77%|███████▋ | 10/13 [00:06<00:01, 1.63it/s] 85%|████████▍ | 11/13 [00:06<00:01, 1.62it/s] 92%|█████████▏| 12/13 [00:07<00:00, 1.62it/s] 100%|██████████| 13/13 [00:08<00:00, 1.61it/s] 100%|██████████| 13/13 [00:08<00:00, 1.62it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:07, 1.65it/s] 15%|█▌ | 2/13 [00:01<00:06, 1.62it/s] 23%|██▎ | 3/13 [00:01<00:06, 1.62it/s] 31%|███ | 4/13 [00:02<00:05, 1.62it/s] 38%|███▊ | 5/13 [00:03<00:04, 1.63it/s] 46%|████▌ | 6/13 [00:03<00:04, 1.64it/s] 54%|█████▍ | 7/13 [00:04<00:03, 1.63it/s] 62%|██████▏ | 8/13 [00:04<00:03, 1.64it/s] 69%|██████▉ | 9/13 [00:05<00:02, 1.63it/s] 77%|███████▋ | 10/13 [00:06<00:01, 1.62it/s] 85%|████████▍ | 11/13 [00:06<00:01, 1.63it/s] 92%|█████████▏| 12/13 [00:07<00:00, 1.64it/s] 100%|██████████| 13/13 [00:07<00:00, 1.65it/s] 100%|██████████| 13/13 [00:07<00:00, 1.64it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s Uploading files.. Finished.