tungsten-logo
Sign In
Girl in Green with LoveXL
lovexl:v2.0
sparks
sparks
·
Feb 12
405
Input
prompt
Specify things to see in the output
With her fiery red hair and emerald green eyes, she was the epitome of individuality in a sea of conformity.
negative_prompt
Specify things to not see in the output
, , ,
num_outputs
Number of output images
3
width
Output image width
960
height
Output image height
1280
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
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.
-1
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
23
cfg_scale
Scale for classifier-free guidance
7
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/2d7e5cdfd8f2442286b4b386070ae19e/00000-1280620436.webp
https://files.tungsten.run/uploads/7bfee717bd254049a40270f252a5e589/00001-1280620437.webp
https://files.tungsten.run/uploads/1f3bd12042af470f9c714b37ce7daca0/00002-1280620438.webp
Finished in 122.5 seconds
Setting up the model... Preparing inputs... Processing... Using seed 1280620436 Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: With her fiery red hair and emerald green eyes, she was the epitome of individuality in a sea of conformity., <lora:add-detail-xl:1.0> Full negative prompt: , , , 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:03<01:24, 3.83s/it] 9%|▊ | 2/23 [00:07<01:13, 3.51s/it] 13%|█▎ | 3/23 [00:10<01:11, 3.56s/it] 17%|█▋ | 4/23 [00:14<01:05, 3.45s/it] 22%|██▏ | 5/23 [00:18<01:06, 3.69s/it] 26%|██▌ | 6/23 [00:22<01:08, 4.05s/it] 30%|███ | 7/23 [00:26<01:02, 3.92s/it] 35%|███▍ | 8/23 [00:29<00:56, 3.77s/it] 39%|███▉ | 9/23 [00:33<00:50, 3.63s/it] 43%|████▎ | 10/23 [00:36<00:45, 3.47s/it] 48%|████▊ | 11/23 [00:39<00:40, 3.39s/it] 52%|█████▏ | 12/23 [00:42<00:37, 3.37s/it] 57%|█████▋ | 13/23 [00:45<00:32, 3.22s/it] 61%|██████ | 14/23 [00:49<00:28, 3.22s/it] 65%|██████▌ | 15/23 [00:52<00:26, 3.25s/it] 70%|██████▉ | 16/23 [00:55<00:22, 3.22s/it] 74%|███████▍ | 17/23 [00:58<00:19, 3.26s/it] 78%|███████▊ | 18/23 [01:02<00:16, 3.23s/it] 83%|████████▎ | 19/23 [01:05<00:12, 3.16s/it] 87%|████████▋ | 20/23 [01:08<00:09, 3.21s/it] 91%|█████████▏| 21/23 [01:11<00:06, 3.07s/it] 96%|█████████▌| 22/23 [01:12<00:02, 2.67s/it] 100%|██████████| 23/23 [01:14<00:00, 2.32s/it] 100%|██████████| 23/23 [01:14<00:00, 3.23s/it] Decoding latents in cuda:0... done in 2.77s Move latents to cpu... done in 0.03s 0: 640x480 1 face, 157.8ms Speed: 2.5ms preprocess, 157.8ms inference, 15.9ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:01<00:06, 1.15s/it] 29%|██▊ | 2/7 [00:02<00:05, 1.05s/it] 43%|████▎ | 3/7 [00:03<00:03, 1.00it/s] 57%|█████▋ | 4/7 [00:04<00:03, 1.01s/it] 71%|███████▏ | 5/7 [00:04<00:01, 1.04it/s] 86%|████████▌ | 6/7 [00:05<00:00, 1.24it/s] 100%|██████████| 7/7 [00:05<00:00, 1.44it/s] 100%|██████████| 7/7 [00:05<00:00, 1.18it/s] Decoding latents in cuda:0... done in 0.92s Move latents to cpu... done in 0.0s 0: 640x480 1 hand, 102.1ms Speed: 2.2ms preprocess, 102.1ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:01<00:07, 1.31s/it] 29%|██▊ | 2/7 [00:02<00:06, 1.30s/it] 43%|████▎ | 3/7 [00:03<00:04, 1.14s/it] 57%|█████▋ | 4/7 [00:04<00:03, 1.10s/it] 71%|███████▏ | 5/7 [00:05<00:02, 1.03s/it] 86%|████████▌ | 6/7 [00:06<00:00, 1.17it/s] 100%|██████████| 7/7 [00:06<00:00, 1.39it/s] 100%|██████████| 7/7 [00:06<00:00, 1.08it/s] Decoding latents in cuda:0... done in 0.91s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 7.8ms Speed: 2.0ms preprocess, 7.8ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:01<00:06, 1.08s/it] 29%|██▊ | 2/7 [00:02<00:05, 1.02s/it] 43%|████▎ | 3/7 [00:02<00:03, 1.02it/s] 57%|█████▋ | 4/7 [00:04<00:03, 1.01s/it] 71%|███████▏ | 5/7 [00:04<00:01, 1.06it/s] 86%|████████▌ | 6/7 [00:05<00:00, 1.25it/s] 100%|██████████| 7/7 [00:05<00:00, 1.46it/s] 100%|██████████| 7/7 [00:05<00:00, 1.20it/s] Decoding latents in cuda:0... done in 0.94s Move latents to cpu... done in 0.0s 0: 640x480 (no detections), 7.6ms Speed: 2.2ms preprocess, 7.6ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x480 1 face, 7.8ms Speed: 2.0ms preprocess, 7.8ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:01<00:06, 1.07s/it] 29%|██▊ | 2/7 [00:02<00:05, 1.02s/it] 43%|████▎ | 3/7 [00:02<00:03, 1.03it/s] 57%|█████▋ | 4/7 [00:04<00:03, 1.00s/it] 71%|███████▏ | 5/7 [00:04<00:01, 1.04it/s] 86%|████████▌ | 6/7 [00:05<00:00, 1.23it/s] 100%|██████████| 7/7 [00:05<00:00, 1.44it/s] 100%|██████████| 7/7 [00:05<00:00, 1.19it/s] Decoding latents in cuda:0... done in 0.93s Move latents to cpu... done in 0.0s 0: 640x480 (no detections), 7.7ms Speed: 2.1ms preprocess, 7.7ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 3 with 2nd settings. Uploading outputs... Finished.
prompt
Specify things to see in the output
With her fiery red hair and emerald green eyes, she was the epitome of individuality in a sea of conformity.
negative_prompt
Specify things to not see in the output
, , ,
num_outputs
Number of output images
3
width
Output image width
960
height
Output image height
1280
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
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.
-1
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
23
cfg_scale
Scale for classifier-free guidance
7
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/2d7e5cdfd8f2442286b4b386070ae19e/00000-1280620436.webp
https://files.tungsten.run/uploads/7bfee717bd254049a40270f252a5e589/00001-1280620437.webp
https://files.tungsten.run/uploads/1f3bd12042af470f9c714b37ce7daca0/00002-1280620438.webp
Finished in 122.5 seconds
Setting up the model... Preparing inputs... Processing... Using seed 1280620436 Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: With her fiery red hair and emerald green eyes, she was the epitome of individuality in a sea of conformity., <lora:add-detail-xl:1.0> Full negative prompt: , , , 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:03<01:24, 3.83s/it] 9%|▊ | 2/23 [00:07<01:13, 3.51s/it] 13%|█▎ | 3/23 [00:10<01:11, 3.56s/it] 17%|█▋ | 4/23 [00:14<01:05, 3.45s/it] 22%|██▏ | 5/23 [00:18<01:06, 3.69s/it] 26%|██▌ | 6/23 [00:22<01:08, 4.05s/it] 30%|███ | 7/23 [00:26<01:02, 3.92s/it] 35%|███▍ | 8/23 [00:29<00:56, 3.77s/it] 39%|███▉ | 9/23 [00:33<00:50, 3.63s/it] 43%|████▎ | 10/23 [00:36<00:45, 3.47s/it] 48%|████▊ | 11/23 [00:39<00:40, 3.39s/it] 52%|█████▏ | 12/23 [00:42<00:37, 3.37s/it] 57%|█████▋ | 13/23 [00:45<00:32, 3.22s/it] 61%|██████ | 14/23 [00:49<00:28, 3.22s/it] 65%|██████▌ | 15/23 [00:52<00:26, 3.25s/it] 70%|██████▉ | 16/23 [00:55<00:22, 3.22s/it] 74%|███████▍ | 17/23 [00:58<00:19, 3.26s/it] 78%|███████▊ | 18/23 [01:02<00:16, 3.23s/it] 83%|████████▎ | 19/23 [01:05<00:12, 3.16s/it] 87%|████████▋ | 20/23 [01:08<00:09, 3.21s/it] 91%|█████████▏| 21/23 [01:11<00:06, 3.07s/it] 96%|█████████▌| 22/23 [01:12<00:02, 2.67s/it] 100%|██████████| 23/23 [01:14<00:00, 2.32s/it] 100%|██████████| 23/23 [01:14<00:00, 3.23s/it] Decoding latents in cuda:0... done in 2.77s Move latents to cpu... done in 0.03s 0: 640x480 1 face, 157.8ms Speed: 2.5ms preprocess, 157.8ms inference, 15.9ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:01<00:06, 1.15s/it] 29%|██▊ | 2/7 [00:02<00:05, 1.05s/it] 43%|████▎ | 3/7 [00:03<00:03, 1.00it/s] 57%|█████▋ | 4/7 [00:04<00:03, 1.01s/it] 71%|███████▏ | 5/7 [00:04<00:01, 1.04it/s] 86%|████████▌ | 6/7 [00:05<00:00, 1.24it/s] 100%|██████████| 7/7 [00:05<00:00, 1.44it/s] 100%|██████████| 7/7 [00:05<00:00, 1.18it/s] Decoding latents in cuda:0... done in 0.92s Move latents to cpu... done in 0.0s 0: 640x480 1 hand, 102.1ms Speed: 2.2ms preprocess, 102.1ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:01<00:07, 1.31s/it] 29%|██▊ | 2/7 [00:02<00:06, 1.30s/it] 43%|████▎ | 3/7 [00:03<00:04, 1.14s/it] 57%|█████▋ | 4/7 [00:04<00:03, 1.10s/it] 71%|███████▏ | 5/7 [00:05<00:02, 1.03s/it] 86%|████████▌ | 6/7 [00:06<00:00, 1.17it/s] 100%|██████████| 7/7 [00:06<00:00, 1.39it/s] 100%|██████████| 7/7 [00:06<00:00, 1.08it/s] Decoding latents in cuda:0... done in 0.91s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 7.8ms Speed: 2.0ms preprocess, 7.8ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:01<00:06, 1.08s/it] 29%|██▊ | 2/7 [00:02<00:05, 1.02s/it] 43%|████▎ | 3/7 [00:02<00:03, 1.02it/s] 57%|█████▋ | 4/7 [00:04<00:03, 1.01s/it] 71%|███████▏ | 5/7 [00:04<00:01, 1.06it/s] 86%|████████▌ | 6/7 [00:05<00:00, 1.25it/s] 100%|██████████| 7/7 [00:05<00:00, 1.46it/s] 100%|██████████| 7/7 [00:05<00:00, 1.20it/s] Decoding latents in cuda:0... done in 0.94s Move latents to cpu... done in 0.0s 0: 640x480 (no detections), 7.6ms Speed: 2.2ms preprocess, 7.6ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x480 1 face, 7.8ms Speed: 2.0ms preprocess, 7.8ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:01<00:06, 1.07s/it] 29%|██▊ | 2/7 [00:02<00:05, 1.02s/it] 43%|████▎ | 3/7 [00:02<00:03, 1.03it/s] 57%|█████▋ | 4/7 [00:04<00:03, 1.00s/it] 71%|███████▏ | 5/7 [00:04<00:01, 1.04it/s] 86%|████████▌ | 6/7 [00:05<00:00, 1.23it/s] 100%|██████████| 7/7 [00:05<00:00, 1.44it/s] 100%|██████████| 7/7 [00:05<00:00, 1.19it/s] Decoding latents in cuda:0... done in 0.93s Move latents to cpu... done in 0.0s 0: 640x480 (no detections), 7.7ms Speed: 2.1ms preprocess, 7.7ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 3 with 2nd settings. Uploading outputs... Finished.