tungsten-logo
Sign In
Aphrodite with HotArt 3 SPO
HotArt:3SPO
sparks
sparks
·
Jul 9
7
Input
prompt
Specify things to see in the output
Aphrodite Rising from the Sea: A woman with cascading, damp hair the color of spun gold, her form emerging from turquoise waves, surrounded by playful dolphins and seashells, bathed in the golden light of dawn. (style: symbolic, birth of beauty)
negative_prompt
Specify things to not see in the output
ugly, bad, wrong, boring, simple, plain,
EnvyAwesomizeXL01
Envy Awesomize Xl01
2
detailer_xl
Detailer Xl
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.
1191466046
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++ 3M SDE
samping_steps
Number of denoising steps
40
cfg_scale
Scale for classifier-free guidance
4.5
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/28c6a08f80e74a86955c9ee15867d34b/output-2b167b578e9f448594a817f8779fb1cb-00000-1191466046.webp
https://files.tungsten.run/uploads/d3de64ab867b4af8ad0cc7e097951715/output-0d671e99a7824948b3004a425de5920b-00001-1191466047.webp
https://files.tungsten.run/uploads/11b23dc12f7845d8a2710e8202173784/output-d7fed150dd9f49acaf5c88ea33f689b2-00002-1191466048.webp
Finished in 107.0 seconds
Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Aphrodite Rising from the Sea: A woman with cascading, damp hair the color of spun gold, her form emerging from turquoise waves, surrounded by playful dolphins and seashells, bathed in the golden light of dawn. (style: symbolic, birth of beauty), <lora:detailer-xl:1.0>, <lora:EnvyAwesomizeXL01:2.0> Full negative prompt: ugly, bad, wrong, boring, simple, plain, 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<00:58, 1.49s/it] 5%|▌ | 2/40 [00:03<01:02, 1.64s/it] 8%|▊ | 3/40 [00:05<01:04, 1.75s/it] 10%|█ | 4/40 [00:07<01:08, 1.89s/it] 12%|█▎ | 5/40 [00:09<01:08, 1.95s/it] 15%|█▌ | 6/40 [00:11<01:05, 1.92s/it] 18%|█▊ | 7/40 [00:12<01:01, 1.87s/it] 20%|██ | 8/40 [00:14<00:59, 1.87s/it] 22%|██▎ | 9/40 [00:16<00:57, 1.85s/it] 25%|██▌ | 10/40 [00:18<00:56, 1.88s/it] 28%|██▊ | 11/40 [00:20<00:54, 1.89s/it] 30%|███ | 12/40 [00:22<00:53, 1.92s/it] 32%|███▎ | 13/40 [00:24<00:51, 1.90s/it] 35%|███▌ | 14/40 [00:26<00:50, 1.94s/it] 38%|███▊ | 15/40 [00:28<00:47, 1.89s/it] 40%|████ | 16/40 [00:30<00:45, 1.90s/it] 42%|████▎ | 17/40 [00:31<00:43, 1.89s/it] 45%|████▌ | 18/40 [00:33<00:42, 1.92s/it] 48%|████▊ | 19/40 [00:35<00:39, 1.89s/it] 50%|█████ | 20/40 [00:37<00:37, 1.89s/it] 52%|█████▎ | 21/40 [00:39<00:35, 1.89s/it] 55%|█████▌ | 22/40 [00:41<00:33, 1.87s/it] 57%|█████▊ | 23/40 [00:43<00:31, 1.88s/it] 60%|██████ | 24/40 [00:45<00:29, 1.87s/it] 62%|██████▎ | 25/40 [00:46<00:27, 1.85s/it] 65%|██████▌ | 26/40 [00:48<00:25, 1.83s/it] 68%|██████▊ | 27/40 [00:50<00:23, 1.78s/it] 70%|███████ | 28/40 [00:52<00:21, 1.82s/it] 72%|███████▎ | 29/40 [00:53<00:19, 1.80s/it] 75%|███████▌ | 30/40 [00:55<00:17, 1.79s/it] 78%|███████▊ | 31/40 [00:57<00:15, 1.73s/it] 80%|████████ | 32/40 [00:59<00:13, 1.75s/it] 82%|████████▎ | 33/40 [01:00<00:12, 1.76s/it] 85%|████████▌ | 34/40 [01:02<00:10, 1.81s/it] 88%|████████▊ | 35/40 [01:04<00:08, 1.78s/it] 90%|█████████ | 36/40 [01:06<00:07, 1.80s/it] 92%|█████████▎| 37/40 [01:08<00:05, 1.80s/it] 95%|█████████▌| 38/40 [01:10<00:03, 1.83s/it] 98%|█████████▊| 39/40 [01:11<00:01, 1.65s/it] 100%|██████████| 40/40 [01:12<00:00, 1.43s/it] 100%|██████████| 40/40 [01:12<00:00, 1.81s/it] Decoding latents in cuda:0... done in 1.72s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:10, 1.58it/s] 12%|█▏ | 2/17 [00:01<00:09, 1.66it/s] 18%|█▊ | 3/17 [00:01<00:08, 1.69it/s] 24%|██▎ | 4/17 [00:02<00:07, 1.76it/s] 29%|██▉ | 5/17 [00:02<00:07, 1.70it/s] 35%|███▌ | 6/17 [00:03<00:06, 1.71it/s] 41%|████ | 7/17 [00:04<00:05, 1.72it/s] 47%|████▋ | 8/17 [00:04<00:05, 1.79it/s] 53%|█████▎ | 9/17 [00:05<00:04, 1.76it/s] 59%|█████▉ | 10/17 [00:05<00:03, 1.76it/s] 65%|██████▍ | 11/17 [00:06<00:03, 1.70it/s] 71%|███████ | 12/17 [00:06<00:02, 1.72it/s] 76%|███████▋ | 13/17 [00:07<00:02, 1.70it/s] 82%|████████▏ | 14/17 [00:08<00:01, 1.71it/s] 88%|████████▊ | 15/17 [00:08<00:01, 1.68it/s] 94%|█████████▍| 16/17 [00:09<00:00, 1.87it/s] 100%|██████████| 17/17 [00:09<00:00, 2.18it/s] 100%|██████████| 17/17 [00:09<00:00, 1.80it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:10, 1.57it/s] 12%|█▏ | 2/17 [00:01<00:09, 1.66it/s] 18%|█▊ | 3/17 [00:01<00:08, 1.70it/s] 24%|██▎ | 4/17 [00:02<00:07, 1.77it/s] 29%|██▉ | 5/17 [00:02<00:07, 1.71it/s] 35%|███▌ | 6/17 [00:03<00:06, 1.72it/s] 41%|████ | 7/17 [00:04<00:05, 1.73it/s] 47%|████▋ | 8/17 [00:04<00:04, 1.80it/s] 53%|█████▎ | 9/17 [00:05<00:04, 1.78it/s] 59%|█████▉ | 10/17 [00:05<00:03, 1.77it/s] 65%|██████▍ | 11/17 [00:06<00:03, 1.71it/s] 71%|███████ | 12/17 [00:06<00:02, 1.74it/s] 76%|███████▋ | 13/17 [00:07<00:02, 1.72it/s] 82%|████████▏ | 14/17 [00:08<00:01, 1.73it/s] 88%|████████▊ | 15/17 [00:08<00:01, 1.69it/s] 94%|█████████▍| 16/17 [00:09<00:00, 1.89it/s] 100%|██████████| 17/17 [00:09<00:00, 2.19it/s] 100%|██████████| 17/17 [00:09<00:00, 1.81it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:10, 1.57it/s] 12%|█▏ | 2/17 [00:01<00:09, 1.66it/s] 18%|█▊ | 3/17 [00:01<00:08, 1.69it/s] 24%|██▎ | 4/17 [00:02<00:07, 1.76it/s] 29%|██▉ | 5/17 [00:02<00:07, 1.70it/s] 35%|███▌ | 6/17 [00:03<00:06, 1.72it/s] 41%|████ | 7/17 [00:04<00:05, 1.73it/s] 47%|████▋ | 8/17 [00:04<00:05, 1.79it/s] 53%|█████▎ | 9/17 [00:05<00:04, 1.77it/s] 59%|█████▉ | 10/17 [00:05<00:03, 1.76it/s] 65%|██████▍ | 11/17 [00:06<00:03, 1.70it/s] 71%|███████ | 12/17 [00:06<00:02, 1.73it/s] 76%|███████▋ | 13/17 [00:07<00:02, 1.70it/s] 82%|████████▏ | 14/17 [00:08<00:01, 1.72it/s] 88%|████████▊ | 15/17 [00:08<00:01, 1.68it/s] 94%|█████████▍| 16/17 [00:09<00:00, 1.87it/s] 100%|██████████| 17/17 [00:09<00:00, 2.18it/s] 100%|██████████| 17/17 [00:09<00:00, 1.80it/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
Aphrodite Rising from the Sea: A woman with cascading, damp hair the color of spun gold, her form emerging from turquoise waves, surrounded by playful dolphins and seashells, bathed in the golden light of dawn. (style: symbolic, birth of beauty)
negative_prompt
Specify things to not see in the output
ugly, bad, wrong, boring, simple, plain,
EnvyAwesomizeXL01
Envy Awesomize Xl01
2
detailer_xl
Detailer Xl
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.
1191466046
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++ 3M SDE
samping_steps
Number of denoising steps
40
cfg_scale
Scale for classifier-free guidance
4.5
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/28c6a08f80e74a86955c9ee15867d34b/output-2b167b578e9f448594a817f8779fb1cb-00000-1191466046.webp
https://files.tungsten.run/uploads/d3de64ab867b4af8ad0cc7e097951715/output-0d671e99a7824948b3004a425de5920b-00001-1191466047.webp
https://files.tungsten.run/uploads/11b23dc12f7845d8a2710e8202173784/output-d7fed150dd9f49acaf5c88ea33f689b2-00002-1191466048.webp
Finished in 107.0 seconds
Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Aphrodite Rising from the Sea: A woman with cascading, damp hair the color of spun gold, her form emerging from turquoise waves, surrounded by playful dolphins and seashells, bathed in the golden light of dawn. (style: symbolic, birth of beauty), <lora:detailer-xl:1.0>, <lora:EnvyAwesomizeXL01:2.0> Full negative prompt: ugly, bad, wrong, boring, simple, plain, 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<00:58, 1.49s/it] 5%|▌ | 2/40 [00:03<01:02, 1.64s/it] 8%|▊ | 3/40 [00:05<01:04, 1.75s/it] 10%|█ | 4/40 [00:07<01:08, 1.89s/it] 12%|█▎ | 5/40 [00:09<01:08, 1.95s/it] 15%|█▌ | 6/40 [00:11<01:05, 1.92s/it] 18%|█▊ | 7/40 [00:12<01:01, 1.87s/it] 20%|██ | 8/40 [00:14<00:59, 1.87s/it] 22%|██▎ | 9/40 [00:16<00:57, 1.85s/it] 25%|██▌ | 10/40 [00:18<00:56, 1.88s/it] 28%|██▊ | 11/40 [00:20<00:54, 1.89s/it] 30%|███ | 12/40 [00:22<00:53, 1.92s/it] 32%|███▎ | 13/40 [00:24<00:51, 1.90s/it] 35%|███▌ | 14/40 [00:26<00:50, 1.94s/it] 38%|███▊ | 15/40 [00:28<00:47, 1.89s/it] 40%|████ | 16/40 [00:30<00:45, 1.90s/it] 42%|████▎ | 17/40 [00:31<00:43, 1.89s/it] 45%|████▌ | 18/40 [00:33<00:42, 1.92s/it] 48%|████▊ | 19/40 [00:35<00:39, 1.89s/it] 50%|█████ | 20/40 [00:37<00:37, 1.89s/it] 52%|█████▎ | 21/40 [00:39<00:35, 1.89s/it] 55%|█████▌ | 22/40 [00:41<00:33, 1.87s/it] 57%|█████▊ | 23/40 [00:43<00:31, 1.88s/it] 60%|██████ | 24/40 [00:45<00:29, 1.87s/it] 62%|██████▎ | 25/40 [00:46<00:27, 1.85s/it] 65%|██████▌ | 26/40 [00:48<00:25, 1.83s/it] 68%|██████▊ | 27/40 [00:50<00:23, 1.78s/it] 70%|███████ | 28/40 [00:52<00:21, 1.82s/it] 72%|███████▎ | 29/40 [00:53<00:19, 1.80s/it] 75%|███████▌ | 30/40 [00:55<00:17, 1.79s/it] 78%|███████▊ | 31/40 [00:57<00:15, 1.73s/it] 80%|████████ | 32/40 [00:59<00:13, 1.75s/it] 82%|████████▎ | 33/40 [01:00<00:12, 1.76s/it] 85%|████████▌ | 34/40 [01:02<00:10, 1.81s/it] 88%|████████▊ | 35/40 [01:04<00:08, 1.78s/it] 90%|█████████ | 36/40 [01:06<00:07, 1.80s/it] 92%|█████████▎| 37/40 [01:08<00:05, 1.80s/it] 95%|█████████▌| 38/40 [01:10<00:03, 1.83s/it] 98%|█████████▊| 39/40 [01:11<00:01, 1.65s/it] 100%|██████████| 40/40 [01:12<00:00, 1.43s/it] 100%|██████████| 40/40 [01:12<00:00, 1.81s/it] Decoding latents in cuda:0... done in 1.72s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:10, 1.58it/s] 12%|█▏ | 2/17 [00:01<00:09, 1.66it/s] 18%|█▊ | 3/17 [00:01<00:08, 1.69it/s] 24%|██▎ | 4/17 [00:02<00:07, 1.76it/s] 29%|██▉ | 5/17 [00:02<00:07, 1.70it/s] 35%|███▌ | 6/17 [00:03<00:06, 1.71it/s] 41%|████ | 7/17 [00:04<00:05, 1.72it/s] 47%|████▋ | 8/17 [00:04<00:05, 1.79it/s] 53%|█████▎ | 9/17 [00:05<00:04, 1.76it/s] 59%|█████▉ | 10/17 [00:05<00:03, 1.76it/s] 65%|██████▍ | 11/17 [00:06<00:03, 1.70it/s] 71%|███████ | 12/17 [00:06<00:02, 1.72it/s] 76%|███████▋ | 13/17 [00:07<00:02, 1.70it/s] 82%|████████▏ | 14/17 [00:08<00:01, 1.71it/s] 88%|████████▊ | 15/17 [00:08<00:01, 1.68it/s] 94%|█████████▍| 16/17 [00:09<00:00, 1.87it/s] 100%|██████████| 17/17 [00:09<00:00, 2.18it/s] 100%|██████████| 17/17 [00:09<00:00, 1.80it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:10, 1.57it/s] 12%|█▏ | 2/17 [00:01<00:09, 1.66it/s] 18%|█▊ | 3/17 [00:01<00:08, 1.70it/s] 24%|██▎ | 4/17 [00:02<00:07, 1.77it/s] 29%|██▉ | 5/17 [00:02<00:07, 1.71it/s] 35%|███▌ | 6/17 [00:03<00:06, 1.72it/s] 41%|████ | 7/17 [00:04<00:05, 1.73it/s] 47%|████▋ | 8/17 [00:04<00:04, 1.80it/s] 53%|█████▎ | 9/17 [00:05<00:04, 1.78it/s] 59%|█████▉ | 10/17 [00:05<00:03, 1.77it/s] 65%|██████▍ | 11/17 [00:06<00:03, 1.71it/s] 71%|███████ | 12/17 [00:06<00:02, 1.74it/s] 76%|███████▋ | 13/17 [00:07<00:02, 1.72it/s] 82%|████████▏ | 14/17 [00:08<00:01, 1.73it/s] 88%|████████▊ | 15/17 [00:08<00:01, 1.69it/s] 94%|█████████▍| 16/17 [00:09<00:00, 1.89it/s] 100%|██████████| 17/17 [00:09<00:00, 2.19it/s] 100%|██████████| 17/17 [00:09<00:00, 1.81it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:10, 1.57it/s] 12%|█▏ | 2/17 [00:01<00:09, 1.66it/s] 18%|█▊ | 3/17 [00:01<00:08, 1.69it/s] 24%|██▎ | 4/17 [00:02<00:07, 1.76it/s] 29%|██▉ | 5/17 [00:02<00:07, 1.70it/s] 35%|███▌ | 6/17 [00:03<00:06, 1.72it/s] 41%|████ | 7/17 [00:04<00:05, 1.73it/s] 47%|████▋ | 8/17 [00:04<00:05, 1.79it/s] 53%|█████▎ | 9/17 [00:05<00:04, 1.77it/s] 59%|█████▉ | 10/17 [00:05<00:03, 1.76it/s] 65%|██████▍ | 11/17 [00:06<00:03, 1.70it/s] 71%|███████ | 12/17 [00:06<00:02, 1.73it/s] 76%|███████▋ | 13/17 [00:07<00:02, 1.70it/s] 82%|████████▏ | 14/17 [00:08<00:01, 1.72it/s] 88%|████████▊ | 15/17 [00:08<00:01, 1.68it/s] 94%|█████████▍| 16/17 [00:09<00:00, 1.87it/s] 100%|██████████| 17/17 [00:09<00:00, 2.18it/s] 100%|██████████| 17/17 [00:09<00:00, 1.80it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s Uploading files.. Finished.