tungsten-logo
Sign In
Smoky Makeup with SDXL Faetastic
sdxl-faetastic:v2.4
sparks
sparks
·
Jan 27
369
Input
prompt
Specify things to see in the output
up close photo of a woman with heavy smoky makeup, beautiful detailed eyes, short silver violet hair, hard night partying, sparkling mini dress, tattoos, large lips, skin detail, pores, realistic, imperfections
negative_prompt
Specify things to not see in the output
jewelry, face tattoo, teeth, open mouth, plastic, 3d, perfect, nose piercing, earrings
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1344
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.3
detail
Enhance/diminish detail while keeping the overall style/character
1.5
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.
1883371100
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++ 2M Karras
samping_steps
Number of denoising steps
40
cfg_scale
Scale for classifier-free guidance
6
clip_skip
The number of last layers of CLIP network to skip
1
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/49c9ac5f6b3841c0a524ccf4346f4e9a/00000-1883371100.webp
https://files.tungsten.run/uploads/4c55e2c88b404be8b357b2e6a19189a0/00001-1883371101.webp
https://files.tungsten.run/uploads/cd4567ea4e0f4a7e8bfcd00bd15b49b8/00002-1883371102.webp
Finished in 92.7 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: up close photo of a woman with heavy smoky makeup, beautiful detailed eyes, short silver violet hair, hard night partying, sparkling mini dress, tattoos, large lips, skin detail, pores, realistic, imperfections, <lora:add-detail-xl:1.5> Full negative prompt: jewelry, face tattoo, teeth, open mouth, plastic, 3d, perfect, nose piercing, earrings 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:02<01:36, 2.46s/it] 5%|▌ | 2/40 [00:03<01:08, 1.81s/it] 8%|▊ | 3/40 [00:05<00:59, 1.60s/it] 10%|█ | 4/40 [00:06<00:54, 1.50s/it] 12%|█▎ | 5/40 [00:07<00:50, 1.45s/it] 15%|█▌ | 6/40 [00:09<00:48, 1.42s/it] 18%|█▊ | 7/40 [00:10<00:46, 1.40s/it] 20%|██ | 8/40 [00:11<00:44, 1.39s/it] 22%|██▎ | 9/40 [00:13<00:42, 1.38s/it] 25%|██▌ | 10/40 [00:14<00:41, 1.38s/it] 28%|██▊ | 11/40 [00:16<00:39, 1.37s/it] 30%|███ | 12/40 [00:17<00:38, 1.37s/it] 32%|███▎ | 13/40 [00:18<00:37, 1.37s/it] 35%|███▌ | 14/40 [00:20<00:35, 1.37s/it] 38%|███▊ | 15/40 [00:21<00:34, 1.37s/it] 40%|████ | 16/40 [00:22<00:32, 1.37s/it] 42%|████▎ | 17/40 [00:24<00:31, 1.37s/it] 45%|████▌ | 18/40 [00:25<00:30, 1.37s/it] 48%|████▊ | 19/40 [00:27<00:28, 1.37s/it] 50%|█████ | 20/40 [00:28<00:27, 1.37s/it] 52%|█████▎ | 21/40 [00:29<00:25, 1.37s/it] 55%|█████▌ | 22/40 [00:31<00:24, 1.37s/it] 57%|█████▊ | 23/40 [00:32<00:23, 1.37s/it] 60%|██████ | 24/40 [00:33<00:21, 1.37s/it] 62%|██████▎ | 25/40 [00:35<00:20, 1.37s/it] 65%|██████▌ | 26/40 [00:36<00:19, 1.37s/it] 68%|██████▊ | 27/40 [00:37<00:17, 1.37s/it] 70%|███████ | 28/40 [00:39<00:16, 1.37s/it] 72%|███████▎ | 29/40 [00:40<00:15, 1.37s/it] 75%|███████▌ | 30/40 [00:42<00:13, 1.37s/it] 78%|███████▊ | 31/40 [00:43<00:12, 1.37s/it] 80%|████████ | 32/40 [00:44<00:10, 1.37s/it] 82%|████████▎ | 33/40 [00:46<00:09, 1.37s/it] 85%|████████▌ | 34/40 [00:47<00:08, 1.37s/it] 88%|████████▊ | 35/40 [00:48<00:06, 1.37s/it] 90%|█████████ | 36/40 [00:50<00:05, 1.37s/it] 92%|█████████▎| 37/40 [00:51<00:04, 1.38s/it] 95%|█████████▌| 38/40 [00:53<00:02, 1.38s/it] 98%|█████████▊| 39/40 [00:54<00:01, 1.37s/it] 100%|██████████| 40/40 [00:55<00:00, 1.37s/it] 100%|██████████| 40/40 [00:55<00:00, 1.40s/it] Decoding latents in cuda:0... done in 2.4s Move latents to cpu... done in 0.03s 0: 640x384 1 face, 163.3ms Speed: 2.6ms preprocess, 163.3ms inference, 23.1ms postprocess per image at shape (1, 3, 640, 384) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:04, 2.58it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.58it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.48it/s] 31%|███ | 4/13 [00:01<00:03, 2.47it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.45it/s] 46%|████▌ | 6/13 [00:02<00:02, 2.43it/s] 54%|█████▍ | 7/13 [00:02<00:02, 2.45it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.43it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.44it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.43it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.42it/s] 92%|█████████▏| 12/13 [00:04<00:00, 2.43it/s] 100%|██████████| 13/13 [00:05<00:00, 2.42it/s] 100%|██████████| 13/13 [00:05<00:00, 2.45it/s] Decoding latents in cuda:0... done in 0.78s Move latents to cpu... done in 0.0s 0: 640x384 (no detections), 100.8ms Speed: 2.3ms preprocess, 100.8ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 384) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x384 1 face, 8.4ms Speed: 2.0ms preprocess, 8.4ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 384) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:04, 2.60it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.58it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.47it/s] 31%|███ | 4/13 [00:01<00:03, 2.45it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.44it/s] 46%|████▌ | 6/13 [00:02<00:02, 2.42it/s] 54%|█████▍ | 7/13 [00:02<00:02, 2.43it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.41it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.42it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.41it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.40it/s] 92%|█████████▏| 12/13 [00:04<00:00, 2.40it/s] 100%|██████████| 13/13 [00:05<00:00, 2.39it/s] 100%|██████████| 13/13 [00:05<00:00, 2.42it/s] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0: 640x384 (no detections), 8.3ms Speed: 2.3ms preprocess, 8.3ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 384) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x384 1 face, 8.0ms Speed: 2.0ms preprocess, 8.0ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 384) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:04, 2.59it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.56it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.44it/s] 31%|███ | 4/13 [00:01<00:03, 2.43it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.41it/s] 46%|████▌ | 6/13 [00:02<00:02, 2.39it/s] 54%|█████▍ | 7/13 [00:02<00:02, 2.40it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.38it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.39it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.37it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.38it/s] 92%|█████████▏| 12/13 [00:04<00:00, 2.38it/s] 100%|██████████| 13/13 [00:05<00:00, 2.37it/s] 100%|██████████| 13/13 [00:05<00:00, 2.40it/s] Decoding latents in cuda:0... done in 0.82s Move latents to cpu... done in 0.0s 0: 640x384 (no detections), 10.1ms Speed: 2.6ms preprocess, 10.1ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 384) [-] ADetailer: nothing detected on image 3 with 2nd settings. Uploading outputs... Finished.
prompt
Specify things to see in the output
up close photo of a woman with heavy smoky makeup, beautiful detailed eyes, short silver violet hair, hard night partying, sparkling mini dress, tattoos, large lips, skin detail, pores, realistic, imperfections
negative_prompt
Specify things to not see in the output
jewelry, face tattoo, teeth, open mouth, plastic, 3d, perfect, nose piercing, earrings
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1344
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.3
detail
Enhance/diminish detail while keeping the overall style/character
1.5
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.
1883371100
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++ 2M Karras
samping_steps
Number of denoising steps
40
cfg_scale
Scale for classifier-free guidance
6
clip_skip
The number of last layers of CLIP network to skip
1
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/49c9ac5f6b3841c0a524ccf4346f4e9a/00000-1883371100.webp
https://files.tungsten.run/uploads/4c55e2c88b404be8b357b2e6a19189a0/00001-1883371101.webp
https://files.tungsten.run/uploads/cd4567ea4e0f4a7e8bfcd00bd15b49b8/00002-1883371102.webp
Finished in 92.7 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: up close photo of a woman with heavy smoky makeup, beautiful detailed eyes, short silver violet hair, hard night partying, sparkling mini dress, tattoos, large lips, skin detail, pores, realistic, imperfections, <lora:add-detail-xl:1.5> Full negative prompt: jewelry, face tattoo, teeth, open mouth, plastic, 3d, perfect, nose piercing, earrings 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:02<01:36, 2.46s/it] 5%|▌ | 2/40 [00:03<01:08, 1.81s/it] 8%|▊ | 3/40 [00:05<00:59, 1.60s/it] 10%|█ | 4/40 [00:06<00:54, 1.50s/it] 12%|█▎ | 5/40 [00:07<00:50, 1.45s/it] 15%|█▌ | 6/40 [00:09<00:48, 1.42s/it] 18%|█▊ | 7/40 [00:10<00:46, 1.40s/it] 20%|██ | 8/40 [00:11<00:44, 1.39s/it] 22%|██▎ | 9/40 [00:13<00:42, 1.38s/it] 25%|██▌ | 10/40 [00:14<00:41, 1.38s/it] 28%|██▊ | 11/40 [00:16<00:39, 1.37s/it] 30%|███ | 12/40 [00:17<00:38, 1.37s/it] 32%|███▎ | 13/40 [00:18<00:37, 1.37s/it] 35%|███▌ | 14/40 [00:20<00:35, 1.37s/it] 38%|███▊ | 15/40 [00:21<00:34, 1.37s/it] 40%|████ | 16/40 [00:22<00:32, 1.37s/it] 42%|████▎ | 17/40 [00:24<00:31, 1.37s/it] 45%|████▌ | 18/40 [00:25<00:30, 1.37s/it] 48%|████▊ | 19/40 [00:27<00:28, 1.37s/it] 50%|█████ | 20/40 [00:28<00:27, 1.37s/it] 52%|█████▎ | 21/40 [00:29<00:25, 1.37s/it] 55%|█████▌ | 22/40 [00:31<00:24, 1.37s/it] 57%|█████▊ | 23/40 [00:32<00:23, 1.37s/it] 60%|██████ | 24/40 [00:33<00:21, 1.37s/it] 62%|██████▎ | 25/40 [00:35<00:20, 1.37s/it] 65%|██████▌ | 26/40 [00:36<00:19, 1.37s/it] 68%|██████▊ | 27/40 [00:37<00:17, 1.37s/it] 70%|███████ | 28/40 [00:39<00:16, 1.37s/it] 72%|███████▎ | 29/40 [00:40<00:15, 1.37s/it] 75%|███████▌ | 30/40 [00:42<00:13, 1.37s/it] 78%|███████▊ | 31/40 [00:43<00:12, 1.37s/it] 80%|████████ | 32/40 [00:44<00:10, 1.37s/it] 82%|████████▎ | 33/40 [00:46<00:09, 1.37s/it] 85%|████████▌ | 34/40 [00:47<00:08, 1.37s/it] 88%|████████▊ | 35/40 [00:48<00:06, 1.37s/it] 90%|█████████ | 36/40 [00:50<00:05, 1.37s/it] 92%|█████████▎| 37/40 [00:51<00:04, 1.38s/it] 95%|█████████▌| 38/40 [00:53<00:02, 1.38s/it] 98%|█████████▊| 39/40 [00:54<00:01, 1.37s/it] 100%|██████████| 40/40 [00:55<00:00, 1.37s/it] 100%|██████████| 40/40 [00:55<00:00, 1.40s/it] Decoding latents in cuda:0... done in 2.4s Move latents to cpu... done in 0.03s 0: 640x384 1 face, 163.3ms Speed: 2.6ms preprocess, 163.3ms inference, 23.1ms postprocess per image at shape (1, 3, 640, 384) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:04, 2.58it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.58it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.48it/s] 31%|███ | 4/13 [00:01<00:03, 2.47it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.45it/s] 46%|████▌ | 6/13 [00:02<00:02, 2.43it/s] 54%|█████▍ | 7/13 [00:02<00:02, 2.45it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.43it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.44it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.43it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.42it/s] 92%|█████████▏| 12/13 [00:04<00:00, 2.43it/s] 100%|██████████| 13/13 [00:05<00:00, 2.42it/s] 100%|██████████| 13/13 [00:05<00:00, 2.45it/s] Decoding latents in cuda:0... done in 0.78s Move latents to cpu... done in 0.0s 0: 640x384 (no detections), 100.8ms Speed: 2.3ms preprocess, 100.8ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 384) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x384 1 face, 8.4ms Speed: 2.0ms preprocess, 8.4ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 384) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:04, 2.60it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.58it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.47it/s] 31%|███ | 4/13 [00:01<00:03, 2.45it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.44it/s] 46%|████▌ | 6/13 [00:02<00:02, 2.42it/s] 54%|█████▍ | 7/13 [00:02<00:02, 2.43it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.41it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.42it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.41it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.40it/s] 92%|█████████▏| 12/13 [00:04<00:00, 2.40it/s] 100%|██████████| 13/13 [00:05<00:00, 2.39it/s] 100%|██████████| 13/13 [00:05<00:00, 2.42it/s] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0: 640x384 (no detections), 8.3ms Speed: 2.3ms preprocess, 8.3ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 384) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x384 1 face, 8.0ms Speed: 2.0ms preprocess, 8.0ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 384) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:04, 2.59it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.56it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.44it/s] 31%|███ | 4/13 [00:01<00:03, 2.43it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.41it/s] 46%|████▌ | 6/13 [00:02<00:02, 2.39it/s] 54%|█████▍ | 7/13 [00:02<00:02, 2.40it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.38it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.39it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.37it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.38it/s] 92%|█████████▏| 12/13 [00:04<00:00, 2.38it/s] 100%|██████████| 13/13 [00:05<00:00, 2.37it/s] 100%|██████████| 13/13 [00:05<00:00, 2.40it/s] Decoding latents in cuda:0... done in 0.82s Move latents to cpu... done in 0.0s 0: 640x384 (no detections), 10.1ms Speed: 2.6ms preprocess, 10.1ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 384) [-] ADetailer: nothing detected on image 3 with 2nd settings. Uploading outputs... Finished.