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Beautiful girl with lah-mysterious-sdxl
lah-mysterious-sdxl:v4.0
sparks
sparks
·
Jan 21
334
Input
prompt
Specify things to see in the output
masterpiece, best quality, photorealistic, raw photo, 1girl, long hair, medium breast, collared blouse, light smile, detailed skin, pore, low key
negative_prompt
Specify things to not see in the output
Focus on depicting quality issues like low quality, worst quality, jpeg artifacts, blurry, soft, and noisy visuals. The art style should encompass elements like comic, cartoon, artwork, western style, drawing, painting, crayon, sketch, graphite, and impressionist. Incorporate monochrome and effects, including monochrome, Bokeh effect, render, 3D, and a Greasy face appearance. The subject should emphasize anatomy and deformities such as zombie features, malformed limbs, extra limbs, cloned face, disfigurement, bad proportions, deformation, distortion, long neck, bad anatomy, bad hands, missing fingers, bad feet, too many fingers, poorly drawn hands, more than 2 thighs, mutated hands and fingers, bad face, extra limbs, three arms, and missing limbs. Avoid any text and signatures like watermark, signature, username, and artist name. Other negative traits to be aware of include a simple background, ugly visuals, duplicates, mutilation, mutations, NFSW content, negative_hand-neg, skin blemishes, errors, extra digits, fewer digits, and bad anatomy.
num_outputs
Number of output images
3
width
Output image width
896
height
Output image height
1152
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
0.35
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.
1546989934
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 SDE Karras
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
5
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/d5c01af3ef334588bd919b21acd75fd4/00000-1546989934.webp
https://files.tungsten.run/uploads/098d4da5624f46a7be1437405241ff78/00001-1546989935.webp
https://files.tungsten.run/uploads/c3dd8cf226304a43b5b1161c043913fa/00002-1546989936.webp
Finished in 129.5 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: masterpiece, best quality, photorealistic, raw photo, 1girl, long hair, medium breast, collared blouse, light smile, detailed skin, pore, low key, <lora:add-detail-xl:1.5> Full negative prompt: Focus on depicting quality issues like low quality, worst quality, jpeg artifacts, blurry, soft, and noisy visuals. The art style should encompass elements like comic, cartoon, artwork, western style, drawing, painting, crayon, sketch, graphite, and impressionist. Incorporate monochrome and effects, including monochrome, Bokeh effect, render, 3D, and a Greasy face appearance. The subject should emphasize anatomy and deformities such as zombie features, malformed limbs, extra limbs, cloned face, disfigurement, bad proportions, deformation, distortion, long neck, bad anatomy, bad hands, missing fingers, bad feet, too many fingers, poorly drawn hands, more than 2 thighs, mutated hands and fingers, bad face, extra limbs, three arms, and missing limbs. Avoid any text and signatures like watermark, signature, username, and artist name. Other negative traits to be aware of include a simple background, ugly visuals, duplicates, mutilation, mutations, NFSW content, negative_hand-neg, skin blemishes, errors, extra digits, fewer digits, and bad anatomy. 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:03<01:39, 3.44s/it] 7%|▋ | 2/30 [00:06<01:22, 2.96s/it] 10%|█ | 3/30 [00:08<01:17, 2.87s/it] 13%|█▎ | 4/30 [00:12<01:17, 2.99s/it] 17%|█▋ | 5/30 [00:14<01:14, 2.99s/it] 20%|██ | 6/30 [00:17<01:09, 2.88s/it] 23%|██▎ | 7/30 [00:20<01:05, 2.85s/it] 27%|██▋ | 8/30 [00:23<01:02, 2.82s/it] 30%|███ | 9/30 [00:25<00:58, 2.79s/it] 33%|███▎ | 10/30 [00:28<00:56, 2.80s/it] 37%|███▋ | 11/30 [00:31<00:52, 2.78s/it] 40%|████ | 12/30 [00:34<00:50, 2.78s/it] 43%|████▎ | 13/30 [00:37<00:47, 2.79s/it] 47%|████▋ | 14/30 [00:39<00:43, 2.69s/it] 50%|█████ | 15/30 [00:42<00:39, 2.65s/it] 53%|█████▎ | 16/30 [00:44<00:36, 2.63s/it] 57%|█████▋ | 17/30 [00:47<00:33, 2.59s/it] 60%|██████ | 18/30 [00:49<00:31, 2.60s/it] 63%|██████▎ | 19/30 [00:52<00:28, 2.60s/it] 67%|██████▋ | 20/30 [00:54<00:25, 2.60s/it] 70%|███████ | 21/30 [00:57<00:23, 2.57s/it] 73%|███████▎ | 22/30 [01:00<00:20, 2.61s/it] 77%|███████▋ | 23/30 [01:02<00:17, 2.55s/it] 80%|████████ | 24/30 [01:05<00:15, 2.56s/it] 83%|████████▎ | 25/30 [01:07<00:12, 2.49s/it] 87%|████████▋ | 26/30 [01:10<00:09, 2.50s/it] 90%|█████████ | 27/30 [01:12<00:07, 2.40s/it] 93%|█████████▎| 28/30 [01:14<00:04, 2.32s/it] 97%|█████████▋| 29/30 [01:15<00:02, 2.03s/it] 100%|██████████| 30/30 [01:16<00:00, 1.79s/it] 100%|██████████| 30/30 [01:16<00:00, 2.56s/it] Decoding latents in cuda:0... done in 2.35s Move latents to cpu... done in 0.03s 0: 640x512 1 face, 158.7ms Speed: 2.8ms preprocess, 158.7ms inference, 14.0ms postprocess per image at shape (1, 3, 640, 512) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:01<00:12, 1.24s/it] 18%|█▊ | 2/11 [00:02<00:10, 1.14s/it] 27%|██▋ | 3/11 [00:03<00:09, 1.14s/it] 36%|███▋ | 4/11 [00:04<00:07, 1.09s/it] 45%|████▌ | 5/11 [00:05<00:06, 1.09s/it] 55%|█████▍ | 6/11 [00:06<00:05, 1.06s/it] 64%|██████▎ | 7/11 [00:07<00:04, 1.05s/it] 73%|███████▎ | 8/11 [00:08<00:03, 1.02s/it] 82%|████████▏ | 9/11 [00:09<00:01, 1.01it/s] 91%|█████████ | 10/11 [00:10<00:00, 1.13it/s] 100%|██████████| 11/11 [00:10<00:00, 1.24it/s] 100%|██████████| 11/11 [00:10<00:00, 1.02it/s] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0: 640x512 1 face, 7.9ms Speed: 2.4ms preprocess, 7.9ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 512) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:01<00:11, 1.11s/it] 18%|█▊ | 2/11 [00:02<00:09, 1.07s/it] 27%|██▋ | 3/11 [00:03<00:08, 1.07s/it] 36%|███▋ | 4/11 [00:04<00:07, 1.04s/it] 45%|████▌ | 5/11 [00:05<00:06, 1.05s/it] 55%|█████▍ | 6/11 [00:06<00:05, 1.03s/it] 64%|██████▎ | 7/11 [00:07<00:04, 1.03s/it] 73%|███████▎ | 8/11 [00:08<00:03, 1.00s/it] 82%|████████▏ | 9/11 [00:09<00:01, 1.03it/s] 91%|█████████ | 10/11 [00:09<00:00, 1.14it/s] 100%|██████████| 11/11 [00:10<00:00, 1.26it/s] 100%|██████████| 11/11 [00:10<00:00, 1.06it/s] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0: 640x512 1 face, 15.9ms Speed: 2.5ms preprocess, 15.9ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 512) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:01<00:11, 1.12s/it] 18%|█▊ | 2/11 [00:02<00:09, 1.10s/it] 27%|██▋ | 3/11 [00:03<00:08, 1.10s/it] 36%|███▋ | 4/11 [00:04<00:07, 1.07s/it] 45%|████▌ | 5/11 [00:05<00:06, 1.08s/it] 55%|█████▍ | 6/11 [00:06<00:05, 1.04s/it] 64%|██████▎ | 7/11 [00:07<00:04, 1.04s/it] 73%|███████▎ | 8/11 [00:08<00:03, 1.01s/it] 82%|████████▏ | 9/11 [00:09<00:01, 1.01it/s] 91%|█████████ | 10/11 [00:10<00:00, 1.12it/s] 100%|██████████| 11/11 [00:10<00:00, 1.23it/s] 100%|██████████| 11/11 [00:10<00:00, 1.03it/s] Decoding latents in cuda:0... done in 0.78s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
masterpiece, best quality, photorealistic, raw photo, 1girl, long hair, medium breast, collared blouse, light smile, detailed skin, pore, low key
negative_prompt
Specify things to not see in the output
Focus on depicting quality issues like low quality, worst quality, jpeg artifacts, blurry, soft, and noisy visuals. The art style should encompass elements like comic, cartoon, artwork, western style, drawing, painting, crayon, sketch, graphite, and impressionist. Incorporate monochrome and effects, including monochrome, Bokeh effect, render, 3D, and a Greasy face appearance. The subject should emphasize anatomy and deformities such as zombie features, malformed limbs, extra limbs, cloned face, disfigurement, bad proportions, deformation, distortion, long neck, bad anatomy, bad hands, missing fingers, bad feet, too many fingers, poorly drawn hands, more than 2 thighs, mutated hands and fingers, bad face, extra limbs, three arms, and missing limbs. Avoid any text and signatures like watermark, signature, username, and artist name. Other negative traits to be aware of include a simple background, ugly visuals, duplicates, mutilation, mutations, NFSW content, negative_hand-neg, skin blemishes, errors, extra digits, fewer digits, and bad anatomy.
num_outputs
Number of output images
3
width
Output image width
896
height
Output image height
1152
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
0.35
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.
1546989934
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 SDE Karras
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
5
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/d5c01af3ef334588bd919b21acd75fd4/00000-1546989934.webp
https://files.tungsten.run/uploads/098d4da5624f46a7be1437405241ff78/00001-1546989935.webp
https://files.tungsten.run/uploads/c3dd8cf226304a43b5b1161c043913fa/00002-1546989936.webp
Finished in 129.5 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: masterpiece, best quality, photorealistic, raw photo, 1girl, long hair, medium breast, collared blouse, light smile, detailed skin, pore, low key, <lora:add-detail-xl:1.5> Full negative prompt: Focus on depicting quality issues like low quality, worst quality, jpeg artifacts, blurry, soft, and noisy visuals. The art style should encompass elements like comic, cartoon, artwork, western style, drawing, painting, crayon, sketch, graphite, and impressionist. Incorporate monochrome and effects, including monochrome, Bokeh effect, render, 3D, and a Greasy face appearance. The subject should emphasize anatomy and deformities such as zombie features, malformed limbs, extra limbs, cloned face, disfigurement, bad proportions, deformation, distortion, long neck, bad anatomy, bad hands, missing fingers, bad feet, too many fingers, poorly drawn hands, more than 2 thighs, mutated hands and fingers, bad face, extra limbs, three arms, and missing limbs. Avoid any text and signatures like watermark, signature, username, and artist name. Other negative traits to be aware of include a simple background, ugly visuals, duplicates, mutilation, mutations, NFSW content, negative_hand-neg, skin blemishes, errors, extra digits, fewer digits, and bad anatomy. 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:03<01:39, 3.44s/it] 7%|▋ | 2/30 [00:06<01:22, 2.96s/it] 10%|█ | 3/30 [00:08<01:17, 2.87s/it] 13%|█▎ | 4/30 [00:12<01:17, 2.99s/it] 17%|█▋ | 5/30 [00:14<01:14, 2.99s/it] 20%|██ | 6/30 [00:17<01:09, 2.88s/it] 23%|██▎ | 7/30 [00:20<01:05, 2.85s/it] 27%|██▋ | 8/30 [00:23<01:02, 2.82s/it] 30%|███ | 9/30 [00:25<00:58, 2.79s/it] 33%|███▎ | 10/30 [00:28<00:56, 2.80s/it] 37%|███▋ | 11/30 [00:31<00:52, 2.78s/it] 40%|████ | 12/30 [00:34<00:50, 2.78s/it] 43%|████▎ | 13/30 [00:37<00:47, 2.79s/it] 47%|████▋ | 14/30 [00:39<00:43, 2.69s/it] 50%|█████ | 15/30 [00:42<00:39, 2.65s/it] 53%|█████▎ | 16/30 [00:44<00:36, 2.63s/it] 57%|█████▋ | 17/30 [00:47<00:33, 2.59s/it] 60%|██████ | 18/30 [00:49<00:31, 2.60s/it] 63%|██████▎ | 19/30 [00:52<00:28, 2.60s/it] 67%|██████▋ | 20/30 [00:54<00:25, 2.60s/it] 70%|███████ | 21/30 [00:57<00:23, 2.57s/it] 73%|███████▎ | 22/30 [01:00<00:20, 2.61s/it] 77%|███████▋ | 23/30 [01:02<00:17, 2.55s/it] 80%|████████ | 24/30 [01:05<00:15, 2.56s/it] 83%|████████▎ | 25/30 [01:07<00:12, 2.49s/it] 87%|████████▋ | 26/30 [01:10<00:09, 2.50s/it] 90%|█████████ | 27/30 [01:12<00:07, 2.40s/it] 93%|█████████▎| 28/30 [01:14<00:04, 2.32s/it] 97%|█████████▋| 29/30 [01:15<00:02, 2.03s/it] 100%|██████████| 30/30 [01:16<00:00, 1.79s/it] 100%|██████████| 30/30 [01:16<00:00, 2.56s/it] Decoding latents in cuda:0... done in 2.35s Move latents to cpu... done in 0.03s 0: 640x512 1 face, 158.7ms Speed: 2.8ms preprocess, 158.7ms inference, 14.0ms postprocess per image at shape (1, 3, 640, 512) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:01<00:12, 1.24s/it] 18%|█▊ | 2/11 [00:02<00:10, 1.14s/it] 27%|██▋ | 3/11 [00:03<00:09, 1.14s/it] 36%|███▋ | 4/11 [00:04<00:07, 1.09s/it] 45%|████▌ | 5/11 [00:05<00:06, 1.09s/it] 55%|█████▍ | 6/11 [00:06<00:05, 1.06s/it] 64%|██████▎ | 7/11 [00:07<00:04, 1.05s/it] 73%|███████▎ | 8/11 [00:08<00:03, 1.02s/it] 82%|████████▏ | 9/11 [00:09<00:01, 1.01it/s] 91%|█████████ | 10/11 [00:10<00:00, 1.13it/s] 100%|██████████| 11/11 [00:10<00:00, 1.24it/s] 100%|██████████| 11/11 [00:10<00:00, 1.02it/s] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0: 640x512 1 face, 7.9ms Speed: 2.4ms preprocess, 7.9ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 512) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:01<00:11, 1.11s/it] 18%|█▊ | 2/11 [00:02<00:09, 1.07s/it] 27%|██▋ | 3/11 [00:03<00:08, 1.07s/it] 36%|███▋ | 4/11 [00:04<00:07, 1.04s/it] 45%|████▌ | 5/11 [00:05<00:06, 1.05s/it] 55%|█████▍ | 6/11 [00:06<00:05, 1.03s/it] 64%|██████▎ | 7/11 [00:07<00:04, 1.03s/it] 73%|███████▎ | 8/11 [00:08<00:03, 1.00s/it] 82%|████████▏ | 9/11 [00:09<00:01, 1.03it/s] 91%|█████████ | 10/11 [00:09<00:00, 1.14it/s] 100%|██████████| 11/11 [00:10<00:00, 1.26it/s] 100%|██████████| 11/11 [00:10<00:00, 1.06it/s] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0: 640x512 1 face, 15.9ms Speed: 2.5ms preprocess, 15.9ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 512) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:01<00:11, 1.12s/it] 18%|█▊ | 2/11 [00:02<00:09, 1.10s/it] 27%|██▋ | 3/11 [00:03<00:08, 1.10s/it] 36%|███▋ | 4/11 [00:04<00:07, 1.07s/it] 45%|████▌ | 5/11 [00:05<00:06, 1.08s/it] 55%|█████▍ | 6/11 [00:06<00:05, 1.04s/it] 64%|██████▎ | 7/11 [00:07<00:04, 1.04s/it] 73%|███████▎ | 8/11 [00:08<00:03, 1.01s/it] 82%|████████▏ | 9/11 [00:09<00:01, 1.01it/s] 91%|█████████ | 10/11 [00:10<00:00, 1.12it/s] 100%|██████████| 11/11 [00:10<00:00, 1.23it/s] 100%|██████████| 11/11 [00:10<00:00, 1.03it/s] Decoding latents in cuda:0... done in 0.78s Move latents to cpu... done in 0.0s Uploading outputs... Finished.