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Jinx from LoL with LoveXL
lovexl:v2.0
sparks
sparks
·
Feb 12
345
Input
prompt
Specify things to see in the output
jinx league of legends, detailed eyes, firing a rocket launcher
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.
1060028941
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/b436b553fcbd4b8b8f0769f3db8b8938/00000-1060028941.webp
https://files.tungsten.run/uploads/1176e9c2301e485d9e7f4574381d55f8/00001-1060028942.webp
https://files.tungsten.run/uploads/bec71b8eeb6c4e858068434815287079/00002-1060028943.webp
Finished in 142.6 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: jinx league of legends, detailed eyes, firing a rocket launcher, <lora:add-detail-xl:1.0> Full negative prompt: , , , 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:03<01:22, 3.76s/it] 9%|▊ | 2/23 [00:07<01:12, 3.47s/it] 13%|█▎ | 3/23 [00:10<01:10, 3.53s/it] 17%|█▋ | 4/23 [00:13<01:05, 3.43s/it] 22%|██▏ | 5/23 [00:17<01:00, 3.38s/it] 26%|██▌ | 6/23 [00:20<00:57, 3.38s/it] 30%|███ | 7/23 [00:23<00:53, 3.35s/it] 35%|███▍ | 8/23 [00:27<00:49, 3.31s/it] 39%|███▉ | 9/23 [00:30<00:46, 3.29s/it] 43%|████▎ | 10/23 [00:33<00:41, 3.22s/it] 48%|████▊ | 11/23 [00:36<00:38, 3.20s/it] 52%|█████▏ | 12/23 [00:39<00:35, 3.22s/it] 57%|█████▋ | 13/23 [00:42<00:31, 3.11s/it] 61%|██████ | 14/23 [00:45<00:28, 3.12s/it] 65%|██████▌ | 15/23 [00:49<00:25, 3.19s/it] 70%|██████▉ | 16/23 [00:53<00:23, 3.39s/it] 74%|███████▍ | 17/23 [00:56<00:20, 3.39s/it] 78%|███████▊ | 18/23 [00:59<00:16, 3.30s/it] 83%|████████▎ | 19/23 [01:02<00:12, 3.19s/it] 87%|████████▋ | 20/23 [01:05<00:09, 3.25s/it] 91%|█████████▏| 21/23 [01:08<00:06, 3.10s/it] 96%|█████████▌| 22/23 [01:10<00:02, 2.69s/it] 100%|██████████| 23/23 [01:11<00:00, 2.33s/it] 100%|██████████| 23/23 [01:11<00:00, 3.12s/it] Decoding latents in cuda:0... done in 2.8s Move latents to cpu... done in 0.03s 0: 640x480 1 face, 162.5ms Speed: 2.7ms preprocess, 162.5ms inference, 14.1ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:01<00:06, 1.09s/it] 29%|██▊ | 2/7 [00:02<00:05, 1.03s/it] 43%|████▎ | 3/7 [00:03<00:03, 1.02it/s] 57%|█████▋ | 4/7 [00:04<00:03, 1.01s/it] 71%|███████▏ | 5/7 [00:04<00:01, 1.05it/s] 86%|████████▌ | 6/7 [00:05<00:00, 1.24it/s] 100%|██████████| 7/7 [00:05<00:00, 1.45it/s] 100%|██████████| 7/7 [00:05<00:00, 1.19it/s] Decoding latents in cuda:0... done in 0.92s Move latents to cpu... done in 0.0s 0: 640x480 1 hand, 113.5ms Speed: 2.3ms preprocess, 113.5ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:01<00:06, 1.08s/it] 29%|██▊ | 2/7 [00:02<00:05, 1.02s/it] 43%|████▎ | 3/7 [00:03<00:03, 1.01it/s] 57%|█████▋ | 4/7 [00:04<00:03, 1.01s/it] 71%|███████▏ | 5/7 [00:04<00:01, 1.03it/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, 1.18it/s] Decoding latents in cuda:0... done in 0.92s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.2ms Speed: 2.1ms preprocess, 8.2ms 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, 1.09s/it] 29%|██▊ | 2/7 [00:02<00:05, 1.04s/it] 43%|████▎ | 3/7 [00:03<00:03, 1.00it/s] 57%|█████▋ | 4/7 [00:04<00:03, 1.00s/it] 71%|███████▏ | 5/7 [00:04<00:01, 1.05it/s] 86%|████████▌ | 6/7 [00:05<00:00, 1.24it/s] 100%|██████████| 7/7 [00:05<00:00, 1.45it/s] 100%|██████████| 7/7 [00:05<00:00, 1.19it/s] Decoding latents in cuda:0... done in 0.91s Move latents to cpu... done in 0.0s 0: 640x480 2 hands, 8.0ms Speed: 2.1ms preprocess, 8.0ms inference, 2.0ms 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, 1.01s/it] 43%|████▎ | 3/7 [00:02<00:03, 1.04it/s] 57%|█████▋ | 4/7 [00:03<00:02, 1.02it/s] 71%|███████▏ | 5/7 [00:04<00:01, 1.07it/s] 86%|████████▌ | 6/7 [00:05<00:00, 1.26it/s] 100%|██████████| 7/7 [00:05<00:00, 1.47it/s] 100%|██████████| 7/7 [00:05<00:00, 1.21it/s] Decoding latents in cuda:0... done in 0.92s Move latents to cpu... done in 0.0s 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:01<00:06, 1.08s/it] 29%|██▊ | 2/7 [00:02<00:05, 1.06s/it] 43%|████▎ | 3/7 [00:03<00:03, 1.01it/s] 57%|█████▋ | 4/7 [00:04<00:03, 1.00s/it] 71%|███████▏ | 5/7 [00:04<00:01, 1.05it/s] 86%|████████▌ | 6/7 [00:05<00:00, 1.25it/s] 100%|██████████| 7/7 [00:05<00:00, 1.45it/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 1 face, 8.6ms Speed: 2.2ms preprocess, 8.6ms 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, 1.13s/it] 29%|██▊ | 2/7 [00:02<00:05, 1.04s/it] 43%|████▎ | 3/7 [00:03<00:03, 1.01it/s] 57%|█████▋ | 4/7 [00:04<00:03, 1.02s/it] 71%|███████▏ | 5/7 [00:05<00:01, 1.02it/s] 86%|████████▌ | 6/7 [00:05<00:00, 1.22it/s] 100%|██████████| 7/7 [00:05<00:00, 1.43it/s] 100%|██████████| 7/7 [00:05<00:00, 1.17it/s] Decoding latents in cuda:0... done in 0.93s Move latents to cpu... done in 0.0s 0: 640x480 1 hand, 7.9ms Speed: 2.1ms preprocess, 7.9ms 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<00:02, 1.00it/s] 71%|███████▏ | 5/7 [00:04<00:01, 1.05it/s] 86%|████████▌ | 6/7 [00:05<00:00, 1.25it/s] 100%|██████████| 7/7 [00:05<00:00, 1.45it/s] 100%|██████████| 7/7 [00:05<00:00, 1.20it/s] Decoding latents in cuda:0... done in 0.93s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
jinx league of legends, detailed eyes, firing a rocket launcher
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.
1060028941
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/b436b553fcbd4b8b8f0769f3db8b8938/00000-1060028941.webp
https://files.tungsten.run/uploads/1176e9c2301e485d9e7f4574381d55f8/00001-1060028942.webp
https://files.tungsten.run/uploads/bec71b8eeb6c4e858068434815287079/00002-1060028943.webp
Finished in 142.6 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: jinx league of legends, detailed eyes, firing a rocket launcher, <lora:add-detail-xl:1.0> Full negative prompt: , , , 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:03<01:22, 3.76s/it] 9%|▊ | 2/23 [00:07<01:12, 3.47s/it] 13%|█▎ | 3/23 [00:10<01:10, 3.53s/it] 17%|█▋ | 4/23 [00:13<01:05, 3.43s/it] 22%|██▏ | 5/23 [00:17<01:00, 3.38s/it] 26%|██▌ | 6/23 [00:20<00:57, 3.38s/it] 30%|███ | 7/23 [00:23<00:53, 3.35s/it] 35%|███▍ | 8/23 [00:27<00:49, 3.31s/it] 39%|███▉ | 9/23 [00:30<00:46, 3.29s/it] 43%|████▎ | 10/23 [00:33<00:41, 3.22s/it] 48%|████▊ | 11/23 [00:36<00:38, 3.20s/it] 52%|█████▏ | 12/23 [00:39<00:35, 3.22s/it] 57%|█████▋ | 13/23 [00:42<00:31, 3.11s/it] 61%|██████ | 14/23 [00:45<00:28, 3.12s/it] 65%|██████▌ | 15/23 [00:49<00:25, 3.19s/it] 70%|██████▉ | 16/23 [00:53<00:23, 3.39s/it] 74%|███████▍ | 17/23 [00:56<00:20, 3.39s/it] 78%|███████▊ | 18/23 [00:59<00:16, 3.30s/it] 83%|████████▎ | 19/23 [01:02<00:12, 3.19s/it] 87%|████████▋ | 20/23 [01:05<00:09, 3.25s/it] 91%|█████████▏| 21/23 [01:08<00:06, 3.10s/it] 96%|█████████▌| 22/23 [01:10<00:02, 2.69s/it] 100%|██████████| 23/23 [01:11<00:00, 2.33s/it] 100%|██████████| 23/23 [01:11<00:00, 3.12s/it] Decoding latents in cuda:0... done in 2.8s Move latents to cpu... done in 0.03s 0: 640x480 1 face, 162.5ms Speed: 2.7ms preprocess, 162.5ms inference, 14.1ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:01<00:06, 1.09s/it] 29%|██▊ | 2/7 [00:02<00:05, 1.03s/it] 43%|████▎ | 3/7 [00:03<00:03, 1.02it/s] 57%|█████▋ | 4/7 [00:04<00:03, 1.01s/it] 71%|███████▏ | 5/7 [00:04<00:01, 1.05it/s] 86%|████████▌ | 6/7 [00:05<00:00, 1.24it/s] 100%|██████████| 7/7 [00:05<00:00, 1.45it/s] 100%|██████████| 7/7 [00:05<00:00, 1.19it/s] Decoding latents in cuda:0... done in 0.92s Move latents to cpu... done in 0.0s 0: 640x480 1 hand, 113.5ms Speed: 2.3ms preprocess, 113.5ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:01<00:06, 1.08s/it] 29%|██▊ | 2/7 [00:02<00:05, 1.02s/it] 43%|████▎ | 3/7 [00:03<00:03, 1.01it/s] 57%|█████▋ | 4/7 [00:04<00:03, 1.01s/it] 71%|███████▏ | 5/7 [00:04<00:01, 1.03it/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, 1.18it/s] Decoding latents in cuda:0... done in 0.92s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.2ms Speed: 2.1ms preprocess, 8.2ms 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, 1.09s/it] 29%|██▊ | 2/7 [00:02<00:05, 1.04s/it] 43%|████▎ | 3/7 [00:03<00:03, 1.00it/s] 57%|█████▋ | 4/7 [00:04<00:03, 1.00s/it] 71%|███████▏ | 5/7 [00:04<00:01, 1.05it/s] 86%|████████▌ | 6/7 [00:05<00:00, 1.24it/s] 100%|██████████| 7/7 [00:05<00:00, 1.45it/s] 100%|██████████| 7/7 [00:05<00:00, 1.19it/s] Decoding latents in cuda:0... done in 0.91s Move latents to cpu... done in 0.0s 0: 640x480 2 hands, 8.0ms Speed: 2.1ms preprocess, 8.0ms inference, 2.0ms 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, 1.01s/it] 43%|████▎ | 3/7 [00:02<00:03, 1.04it/s] 57%|█████▋ | 4/7 [00:03<00:02, 1.02it/s] 71%|███████▏ | 5/7 [00:04<00:01, 1.07it/s] 86%|████████▌ | 6/7 [00:05<00:00, 1.26it/s] 100%|██████████| 7/7 [00:05<00:00, 1.47it/s] 100%|██████████| 7/7 [00:05<00:00, 1.21it/s] Decoding latents in cuda:0... done in 0.92s Move latents to cpu... done in 0.0s 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:01<00:06, 1.08s/it] 29%|██▊ | 2/7 [00:02<00:05, 1.06s/it] 43%|████▎ | 3/7 [00:03<00:03, 1.01it/s] 57%|█████▋ | 4/7 [00:04<00:03, 1.00s/it] 71%|███████▏ | 5/7 [00:04<00:01, 1.05it/s] 86%|████████▌ | 6/7 [00:05<00:00, 1.25it/s] 100%|██████████| 7/7 [00:05<00:00, 1.45it/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 1 face, 8.6ms Speed: 2.2ms preprocess, 8.6ms 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, 1.13s/it] 29%|██▊ | 2/7 [00:02<00:05, 1.04s/it] 43%|████▎ | 3/7 [00:03<00:03, 1.01it/s] 57%|█████▋ | 4/7 [00:04<00:03, 1.02s/it] 71%|███████▏ | 5/7 [00:05<00:01, 1.02it/s] 86%|████████▌ | 6/7 [00:05<00:00, 1.22it/s] 100%|██████████| 7/7 [00:05<00:00, 1.43it/s] 100%|██████████| 7/7 [00:05<00:00, 1.17it/s] Decoding latents in cuda:0... done in 0.93s Move latents to cpu... done in 0.0s 0: 640x480 1 hand, 7.9ms Speed: 2.1ms preprocess, 7.9ms 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<00:02, 1.00it/s] 71%|███████▏ | 5/7 [00:04<00:01, 1.05it/s] 86%|████████▌ | 6/7 [00:05<00:00, 1.25it/s] 100%|██████████| 7/7 [00:05<00:00, 1.45it/s] 100%|██████████| 7/7 [00:05<00:00, 1.20it/s] Decoding latents in cuda:0... done in 0.93s Move latents to cpu... done in 0.0s Uploading outputs... Finished.