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White Male with WAI-REAL_E v1.0
WAI-REAL_E:v1.0
sparks
sparks
·
Jul 18
30
Input
prompt
Specify things to see in the output
score_9, score_8_up, score_7_up, male, strong, fit, athletic, sitting in a beach chair, boss, sunglasses, Swimming trunks, highly detailed, detailed skin, depth of field, film grain, bulge
negative_prompt
Specify things to not see in the output
PonyDetailerV20
Pony Detailer V20
1
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
0.4
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.
3923430864
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
30
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/51891e76856d49fda17108f40eac7e3e/output-2d8dd1e86da449f08c8fd01d46e0c6e0-00000-3923430864.webp
https://files.tungsten.run/uploads/30c40a057d4e464ea9ba635019ca2495/output-c48df4f8cbe7478f87b639acd5b2eb32-00001-3923430865.webp
https://files.tungsten.run/uploads/0280136a52e24384b9034868e3f3f5ae/output-77c6aa1239b6402691fbf76e2b52c62a-00002-3923430866.webp
Finished in 66.0 seconds
Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: score_9, score_8_up, score_7_up, male, strong, fit, athletic, sitting in a beach chair, boss, sunglasses, Swimming trunks, highly detailed, detailed skin, depth of field, film grain, bulge, <lora:Pony_DetailV2.0:1.0> Full negative prompt: 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:02<01:01, 2.11s/it] 7%|▋ | 2/30 [00:03<00:40, 1.45s/it] 10%|█ | 3/30 [00:04<00:33, 1.23s/it] 13%|█▎ | 4/30 [00:05<00:29, 1.13s/it] 17%|█▋ | 5/30 [00:06<00:26, 1.07s/it] 20%|██ | 6/30 [00:06<00:24, 1.04s/it] 23%|██▎ | 7/30 [00:07<00:23, 1.02s/it] 27%|██▋ | 8/30 [00:08<00:22, 1.00s/it] 30%|███ | 9/30 [00:09<00:21, 1.00s/it] 33%|███▎ | 10/30 [00:10<00:20, 1.01s/it] 37%|███▋ | 11/30 [00:11<00:19, 1.01s/it] 40%|████ | 12/30 [00:12<00:18, 1.01s/it] 43%|████▎ | 13/30 [00:13<00:17, 1.01s/it] 47%|████▋ | 14/30 [00:15<00:16, 1.01s/it] 50%|█████ | 15/30 [00:15<00:15, 1.00s/it] 53%|█████▎ | 16/30 [00:17<00:16, 1.17s/it] 57%|█████▋ | 17/30 [00:18<00:14, 1.11s/it] 60%|██████ | 18/30 [00:19<00:12, 1.08s/it] 63%|██████▎ | 19/30 [00:20<00:11, 1.05s/it] 67%|██████▋ | 20/30 [00:21<00:10, 1.03s/it] 70%|███████ | 21/30 [00:22<00:09, 1.02s/it] 73%|███████▎ | 22/30 [00:23<00:08, 1.02s/it] 77%|███████▋ | 23/30 [00:24<00:07, 1.02s/it] 80%|████████ | 24/30 [00:25<00:06, 1.02s/it] 83%|████████▎ | 25/30 [00:26<00:05, 1.01s/it] 87%|████████▋ | 26/30 [00:27<00:04, 1.02s/it] 90%|█████████ | 27/30 [00:28<00:03, 1.02s/it] 93%|█████████▎| 28/30 [00:29<00:02, 1.02s/it] 97%|█████████▋| 29/30 [00:30<00:01, 1.02s/it] 100%|██████████| 30/30 [00:31<00:00, 1.01s/it] 100%|██████████| 30/30 [00:31<00:00, 1.05s/it] Decoding latents in cuda:0... done in 1.8s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 158.0ms Speed: 2.7ms preprocess, 158.0ms inference, 29.6ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:05, 2.19it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.60it/s] 23%|██▎ | 3/13 [00:01<00:03, 2.74it/s] 31%|███ | 4/13 [00:01<00:03, 2.81it/s] 38%|███▊ | 5/13 [00:01<00:02, 2.84it/s] 46%|████▌ | 6/13 [00:02<00:02, 2.87it/s] 54%|█████▍ | 7/13 [00:02<00:02, 2.89it/s] 62%|██████▏ | 8/13 [00:02<00:01, 2.92it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.94it/s] 77%|███████▋ | 10/13 [00:03<00:01, 2.95it/s] 85%|████████▍ | 11/13 [00:03<00:00, 2.95it/s] 92%|█████████▏| 12/13 [00:04<00:00, 2.96it/s] 100%|██████████| 13/13 [00:04<00:00, 2.96it/s] 100%|██████████| 13/13 [00:04<00:00, 2.87it/s] Decoding latents in cuda:0... done in 0.59s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.2ms Speed: 2.3ms preprocess, 8.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:04, 2.78it/s] 15%|█▌ | 2/13 [00:01<00:05, 1.84it/s] 23%|██▎ | 3/13 [00:01<00:06, 1.58it/s] 31%|███ | 4/13 [00:02<00:05, 1.52it/s] 38%|███▊ | 5/13 [00:03<00:05, 1.46it/s] 46%|████▌ | 6/13 [00:03<00:04, 1.44it/s] 54%|█████▍ | 7/13 [00:04<00:04, 1.39it/s] 62%|██████▏ | 8/13 [00:05<00:03, 1.38it/s] 69%|██████▉ | 9/13 [00:06<00:02, 1.38it/s] 77%|███████▋ | 10/13 [00:06<00:02, 1.37it/s] 85%|████████▍ | 11/13 [00:07<00:01, 1.38it/s] 92%|█████████▏| 12/13 [00:08<00:00, 1.39it/s] 100%|██████████| 13/13 [00:08<00:00, 1.46it/s] 100%|██████████| 13/13 [00:08<00:00, 1.46it/s] Decoding latents in cuda:0... done in 0.59s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.3ms Speed: 2.4ms 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<00:04, 2.94it/s] 15%|█▌ | 2/13 [00:00<00:03, 2.95it/s] 23%|██▎ | 3/13 [00:01<00:03, 2.86it/s] 31%|███ | 4/13 [00:01<00:03, 2.89it/s] 38%|███▊ | 5/13 [00:01<00:02, 2.86it/s] 46%|████▌ | 6/13 [00:02<00:02, 2.87it/s] 54%|█████▍ | 7/13 [00:02<00:02, 2.88it/s] 62%|██████▏ | 8/13 [00:02<00:01, 2.89it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.85it/s] 77%|███████▋ | 10/13 [00:03<00:01, 2.86it/s] 85%|████████▍ | 11/13 [00:03<00:00, 2.85it/s] 92%|█████████▏| 12/13 [00:04<00:00, 2.81it/s] 100%|██████████| 13/13 [00:04<00:00, 2.86it/s] 100%|██████████| 13/13 [00:04<00:00, 2.87it/s] Decoding latents in cuda:0... done in 0.61s 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, male, strong, fit, athletic, sitting in a beach chair, boss, sunglasses, Swimming trunks, highly detailed, detailed skin, depth of field, film grain, bulge
negative_prompt
Specify things to not see in the output
PonyDetailerV20
Pony Detailer V20
1
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
0.4
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.
3923430864
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
30
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/51891e76856d49fda17108f40eac7e3e/output-2d8dd1e86da449f08c8fd01d46e0c6e0-00000-3923430864.webp
https://files.tungsten.run/uploads/30c40a057d4e464ea9ba635019ca2495/output-c48df4f8cbe7478f87b639acd5b2eb32-00001-3923430865.webp
https://files.tungsten.run/uploads/0280136a52e24384b9034868e3f3f5ae/output-77c6aa1239b6402691fbf76e2b52c62a-00002-3923430866.webp
Finished in 66.0 seconds
Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: score_9, score_8_up, score_7_up, male, strong, fit, athletic, sitting in a beach chair, boss, sunglasses, Swimming trunks, highly detailed, detailed skin, depth of field, film grain, bulge, <lora:Pony_DetailV2.0:1.0> Full negative prompt: 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:02<01:01, 2.11s/it] 7%|▋ | 2/30 [00:03<00:40, 1.45s/it] 10%|█ | 3/30 [00:04<00:33, 1.23s/it] 13%|█▎ | 4/30 [00:05<00:29, 1.13s/it] 17%|█▋ | 5/30 [00:06<00:26, 1.07s/it] 20%|██ | 6/30 [00:06<00:24, 1.04s/it] 23%|██▎ | 7/30 [00:07<00:23, 1.02s/it] 27%|██▋ | 8/30 [00:08<00:22, 1.00s/it] 30%|███ | 9/30 [00:09<00:21, 1.00s/it] 33%|███▎ | 10/30 [00:10<00:20, 1.01s/it] 37%|███▋ | 11/30 [00:11<00:19, 1.01s/it] 40%|████ | 12/30 [00:12<00:18, 1.01s/it] 43%|████▎ | 13/30 [00:13<00:17, 1.01s/it] 47%|████▋ | 14/30 [00:15<00:16, 1.01s/it] 50%|█████ | 15/30 [00:15<00:15, 1.00s/it] 53%|█████▎ | 16/30 [00:17<00:16, 1.17s/it] 57%|█████▋ | 17/30 [00:18<00:14, 1.11s/it] 60%|██████ | 18/30 [00:19<00:12, 1.08s/it] 63%|██████▎ | 19/30 [00:20<00:11, 1.05s/it] 67%|██████▋ | 20/30 [00:21<00:10, 1.03s/it] 70%|███████ | 21/30 [00:22<00:09, 1.02s/it] 73%|███████▎ | 22/30 [00:23<00:08, 1.02s/it] 77%|███████▋ | 23/30 [00:24<00:07, 1.02s/it] 80%|████████ | 24/30 [00:25<00:06, 1.02s/it] 83%|████████▎ | 25/30 [00:26<00:05, 1.01s/it] 87%|████████▋ | 26/30 [00:27<00:04, 1.02s/it] 90%|█████████ | 27/30 [00:28<00:03, 1.02s/it] 93%|█████████▎| 28/30 [00:29<00:02, 1.02s/it] 97%|█████████▋| 29/30 [00:30<00:01, 1.02s/it] 100%|██████████| 30/30 [00:31<00:00, 1.01s/it] 100%|██████████| 30/30 [00:31<00:00, 1.05s/it] Decoding latents in cuda:0... done in 1.8s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 158.0ms Speed: 2.7ms preprocess, 158.0ms inference, 29.6ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:05, 2.19it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.60it/s] 23%|██▎ | 3/13 [00:01<00:03, 2.74it/s] 31%|███ | 4/13 [00:01<00:03, 2.81it/s] 38%|███▊ | 5/13 [00:01<00:02, 2.84it/s] 46%|████▌ | 6/13 [00:02<00:02, 2.87it/s] 54%|█████▍ | 7/13 [00:02<00:02, 2.89it/s] 62%|██████▏ | 8/13 [00:02<00:01, 2.92it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.94it/s] 77%|███████▋ | 10/13 [00:03<00:01, 2.95it/s] 85%|████████▍ | 11/13 [00:03<00:00, 2.95it/s] 92%|█████████▏| 12/13 [00:04<00:00, 2.96it/s] 100%|██████████| 13/13 [00:04<00:00, 2.96it/s] 100%|██████████| 13/13 [00:04<00:00, 2.87it/s] Decoding latents in cuda:0... done in 0.59s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.2ms Speed: 2.3ms preprocess, 8.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:04, 2.78it/s] 15%|█▌ | 2/13 [00:01<00:05, 1.84it/s] 23%|██▎ | 3/13 [00:01<00:06, 1.58it/s] 31%|███ | 4/13 [00:02<00:05, 1.52it/s] 38%|███▊ | 5/13 [00:03<00:05, 1.46it/s] 46%|████▌ | 6/13 [00:03<00:04, 1.44it/s] 54%|█████▍ | 7/13 [00:04<00:04, 1.39it/s] 62%|██████▏ | 8/13 [00:05<00:03, 1.38it/s] 69%|██████▉ | 9/13 [00:06<00:02, 1.38it/s] 77%|███████▋ | 10/13 [00:06<00:02, 1.37it/s] 85%|████████▍ | 11/13 [00:07<00:01, 1.38it/s] 92%|█████████▏| 12/13 [00:08<00:00, 1.39it/s] 100%|██████████| 13/13 [00:08<00:00, 1.46it/s] 100%|██████████| 13/13 [00:08<00:00, 1.46it/s] Decoding latents in cuda:0... done in 0.59s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.3ms Speed: 2.4ms 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<00:04, 2.94it/s] 15%|█▌ | 2/13 [00:00<00:03, 2.95it/s] 23%|██▎ | 3/13 [00:01<00:03, 2.86it/s] 31%|███ | 4/13 [00:01<00:03, 2.89it/s] 38%|███▊ | 5/13 [00:01<00:02, 2.86it/s] 46%|████▌ | 6/13 [00:02<00:02, 2.87it/s] 54%|█████▍ | 7/13 [00:02<00:02, 2.88it/s] 62%|██████▏ | 8/13 [00:02<00:01, 2.89it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.85it/s] 77%|███████▋ | 10/13 [00:03<00:01, 2.86it/s] 85%|████████▍ | 11/13 [00:03<00:00, 2.85it/s] 92%|█████████▏| 12/13 [00:04<00:00, 2.81it/s] 100%|██████████| 13/13 [00:04<00:00, 2.86it/s] 100%|██████████| 13/13 [00:04<00:00, 2.87it/s] Decoding latents in cuda:0... done in 0.61s Move latents to cpu... done in 0.0s Uploading files.. Finished.