Version: v1.0
Input
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
xl_yamer_style
Xl Yamer Style
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
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.
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.
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.
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.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
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.
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Output
https://files.tungsten.run/uploads/6fa52234d9bf4c688b1ec20eb4f88e45/00000-1035846835.webp
https://files.tungsten.run/uploads/0d214c386f36462da899ffc51a5d9212/00001-1035846836.webp
https://files.tungsten.run/uploads/6f408f1c748f4fa0af39a6dde5b32478/00002-1035846837.webp
This example was created by evevalentine2017
Finished in 55.6 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: yamer style, anime, 2d, plain colors, nude college girl listening to music in dorm room, dark hair, oversized glasses, sunny day, beautiful, <lora:xl_yamer_style-3.0:0.1> Full negative prompt: nude, nsfw, text, watermark, unaestheticXL2v10, realistic, realism, photo 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:02<00:53, 2.25s/it] 8%|▊ | 2/25 [00:03<00:34, 1.51s/it] 12%|█▏ | 3/25 [00:04<00:27, 1.27s/it] 16%|█▌ | 4/25 [00:05<00:24, 1.15s/it] 20%|██ | 5/25 [00:06<00:21, 1.09s/it] 24%|██▍ | 6/25 [00:07<00:20, 1.05s/it] 28%|██▊ | 7/25 [00:08<00:18, 1.03s/it] 32%|███▏ | 8/25 [00:09<00:17, 1.02s/it] 36%|███▌ | 9/25 [00:10<00:16, 1.01s/it] 40%|████ | 10/25 [00:11<00:15, 1.01s/it] 44%|████▍ | 11/25 [00:12<00:14, 1.00s/it] 48%|████▊ | 12/25 [00:13<00:12, 1.00it/s] 52%|█████▏ | 13/25 [00:14<00:11, 1.00it/s] 56%|█████▌ | 14/25 [00:15<00:10, 1.01it/s] 60%|██████ | 15/25 [00:16<00:09, 1.01it/s] 64%|██████▍ | 16/25 [00:17<00:08, 1.00it/s] 68%|██████▊ | 17/25 [00:18<00:07, 1.00it/s] 72%|███████▏ | 18/25 [00:19<00:06, 1.00it/s] 76%|███████▌ | 19/25 [00:20<00:06, 1.00s/it] 80%|████████ | 20/25 [00:21<00:05, 1.00s/it] 84%|████████▍ | 21/25 [00:22<00:04, 1.00s/it] 88%|████████▊ | 22/25 [00:23<00:03, 1.00s/it] 92%|█████████▏| 23/25 [00:24<00:02, 1.01s/it] 96%|█████████▌| 24/25 [00:25<00:01, 1.00s/it] 100%|██████████| 25/25 [00:26<00:00, 1.01it/s] 100%|██████████| 25/25 [00:26<00:00, 1.04s/it] Decoding latents in cuda:0... done in 1.73s Move latents to cpu... done in 0.02s 0: 480x640 1 face, 158.1ms Speed: 3.0ms preprocess, 158.1ms inference, 28.9ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:05, 2.14it/s] 17%|█▋ | 2/12 [00:00<00:03, 2.57it/s] 25%|██▌ | 3/12 [00:01<00:03, 2.75it/s] 33%|███▎ | 4/12 [00:01<00:02, 2.84it/s] 42%|████▏ | 5/12 [00:01<00:02, 2.91it/s] 50%|█████ | 6/12 [00:02<00:02, 2.92it/s] 58%|█████▊ | 7/12 [00:02<00:01, 2.95it/s] 67%|██████▋ | 8/12 [00:02<00:01, 2.98it/s] 75%|███████▌ | 9/12 [00:03<00:01, 2.99it/s] 83%|████████▎ | 10/12 [00:03<00:00, 2.96it/s] 92%|█████████▏| 11/12 [00:03<00:00, 2.98it/s] 100%|██████████| 12/12 [00:04<00:00, 3.00it/s] 100%|██████████| 12/12 [00:04<00:00, 2.90it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 480x640 1 face, 8.1ms Speed: 2.4ms preprocess, 8.1ms inference, 1.5ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:03, 2.90it/s] 17%|█▋ | 2/12 [00:00<00:03, 2.89it/s] 25%|██▌ | 3/12 [00:01<00:03, 2.90it/s] 33%|███▎ | 4/12 [00:01<00:02, 2.90it/s] 42%|████▏ | 5/12 [00:01<00:02, 2.91it/s] 50%|█████ | 6/12 [00:02<00:02, 2.88it/s] 58%|█████▊ | 7/12 [00:02<00:01, 2.90it/s] 67%|██████▋ | 8/12 [00:02<00:01, 2.90it/s] 75%|███████▌ | 9/12 [00:03<00:01, 2.93it/s] 83%|████████▎ | 10/12 [00:03<00:00, 2.94it/s] 92%|█████████▏| 11/12 [00:03<00:00, 2.93it/s] 100%|██████████| 12/12 [00:04<00:00, 2.96it/s] 100%|██████████| 12/12 [00:04<00:00, 2.92it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0: 480x640 1 face, 8.5ms Speed: 2.5ms preprocess, 8.5ms inference, 1.5ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:03, 2.93it/s] 17%|█▋ | 2/12 [00:00<00:03, 2.95it/s] 25%|██▌ | 3/12 [00:01<00:03, 2.89it/s] 33%|███▎ | 4/12 [00:01<00:02, 2.89it/s] 42%|████▏ | 5/12 [00:01<00:02, 2.91it/s] 50%|█████ | 6/12 [00:02<00:02, 2.93it/s] 58%|█████▊ | 7/12 [00:02<00:01, 2.95it/s] 67%|██████▋ | 8/12 [00:02<00:01, 2.95it/s] 75%|███████▌ | 9/12 [00:03<00:01, 2.90it/s] 83%|████████▎ | 10/12 [00:03<00:00, 2.90it/s] 92%|█████████▏| 11/12 [00:03<00:00, 2.94it/s] 100%|██████████| 12/12 [00:04<00:00, 2.96it/s] 100%|██████████| 12/12 [00:04<00:00, 2.93it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
xl_yamer_style
Xl Yamer Style
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
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.
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.
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.
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.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
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.
Sign in to run this model for free!
https://files.tungsten.run/uploads/6fa52234d9bf4c688b1ec20eb4f88e45/00000-1035846835.webp
https://files.tungsten.run/uploads/0d214c386f36462da899ffc51a5d9212/00001-1035846836.webp
https://files.tungsten.run/uploads/6f408f1c748f4fa0af39a6dde5b32478/00002-1035846837.webp
This example was created by evevalentine2017
Finished in 55.6 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: yamer style, anime, 2d, plain colors, nude college girl listening to music in dorm room, dark hair, oversized glasses, sunny day, beautiful, <lora:xl_yamer_style-3.0:0.1> Full negative prompt: nude, nsfw, text, watermark, unaestheticXL2v10, realistic, realism, photo 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:02<00:53, 2.25s/it] 8%|▊ | 2/25 [00:03<00:34, 1.51s/it] 12%|█▏ | 3/25 [00:04<00:27, 1.27s/it] 16%|█▌ | 4/25 [00:05<00:24, 1.15s/it] 20%|██ | 5/25 [00:06<00:21, 1.09s/it] 24%|██▍ | 6/25 [00:07<00:20, 1.05s/it] 28%|██▊ | 7/25 [00:08<00:18, 1.03s/it] 32%|███▏ | 8/25 [00:09<00:17, 1.02s/it] 36%|███▌ | 9/25 [00:10<00:16, 1.01s/it] 40%|████ | 10/25 [00:11<00:15, 1.01s/it] 44%|████▍ | 11/25 [00:12<00:14, 1.00s/it] 48%|████▊ | 12/25 [00:13<00:12, 1.00it/s] 52%|█████▏ | 13/25 [00:14<00:11, 1.00it/s] 56%|█████▌ | 14/25 [00:15<00:10, 1.01it/s] 60%|██████ | 15/25 [00:16<00:09, 1.01it/s] 64%|██████▍ | 16/25 [00:17<00:08, 1.00it/s] 68%|██████▊ | 17/25 [00:18<00:07, 1.00it/s] 72%|███████▏ | 18/25 [00:19<00:06, 1.00it/s] 76%|███████▌ | 19/25 [00:20<00:06, 1.00s/it] 80%|████████ | 20/25 [00:21<00:05, 1.00s/it] 84%|████████▍ | 21/25 [00:22<00:04, 1.00s/it] 88%|████████▊ | 22/25 [00:23<00:03, 1.00s/it] 92%|█████████▏| 23/25 [00:24<00:02, 1.01s/it] 96%|█████████▌| 24/25 [00:25<00:01, 1.00s/it] 100%|██████████| 25/25 [00:26<00:00, 1.01it/s] 100%|██████████| 25/25 [00:26<00:00, 1.04s/it] Decoding latents in cuda:0... done in 1.73s Move latents to cpu... done in 0.02s 0: 480x640 1 face, 158.1ms Speed: 3.0ms preprocess, 158.1ms inference, 28.9ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:05, 2.14it/s] 17%|█▋ | 2/12 [00:00<00:03, 2.57it/s] 25%|██▌ | 3/12 [00:01<00:03, 2.75it/s] 33%|███▎ | 4/12 [00:01<00:02, 2.84it/s] 42%|████▏ | 5/12 [00:01<00:02, 2.91it/s] 50%|█████ | 6/12 [00:02<00:02, 2.92it/s] 58%|█████▊ | 7/12 [00:02<00:01, 2.95it/s] 67%|██████▋ | 8/12 [00:02<00:01, 2.98it/s] 75%|███████▌ | 9/12 [00:03<00:01, 2.99it/s] 83%|████████▎ | 10/12 [00:03<00:00, 2.96it/s] 92%|█████████▏| 11/12 [00:03<00:00, 2.98it/s] 100%|██████████| 12/12 [00:04<00:00, 3.00it/s] 100%|██████████| 12/12 [00:04<00:00, 2.90it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 480x640 1 face, 8.1ms Speed: 2.4ms preprocess, 8.1ms inference, 1.5ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:03, 2.90it/s] 17%|█▋ | 2/12 [00:00<00:03, 2.89it/s] 25%|██▌ | 3/12 [00:01<00:03, 2.90it/s] 33%|███▎ | 4/12 [00:01<00:02, 2.90it/s] 42%|████▏ | 5/12 [00:01<00:02, 2.91it/s] 50%|█████ | 6/12 [00:02<00:02, 2.88it/s] 58%|█████▊ | 7/12 [00:02<00:01, 2.90it/s] 67%|██████▋ | 8/12 [00:02<00:01, 2.90it/s] 75%|███████▌ | 9/12 [00:03<00:01, 2.93it/s] 83%|████████▎ | 10/12 [00:03<00:00, 2.94it/s] 92%|█████████▏| 11/12 [00:03<00:00, 2.93it/s] 100%|██████████| 12/12 [00:04<00:00, 2.96it/s] 100%|██████████| 12/12 [00:04<00:00, 2.92it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0: 480x640 1 face, 8.5ms Speed: 2.5ms preprocess, 8.5ms inference, 1.5ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:03, 2.93it/s] 17%|█▋ | 2/12 [00:00<00:03, 2.95it/s] 25%|██▌ | 3/12 [00:01<00:03, 2.89it/s] 33%|███▎ | 4/12 [00:01<00:02, 2.89it/s] 42%|████▏ | 5/12 [00:01<00:02, 2.91it/s] 50%|█████ | 6/12 [00:02<00:02, 2.93it/s] 58%|█████▊ | 7/12 [00:02<00:01, 2.95it/s] 67%|██████▋ | 8/12 [00:02<00:01, 2.95it/s] 75%|███████▌ | 9/12 [00:03<00:01, 2.90it/s] 83%|████████▎ | 10/12 [00:03<00:00, 2.90it/s] 92%|█████████▏| 11/12 [00:03<00:00, 2.94it/s] 100%|██████████| 12/12 [00:04<00:00, 2.96it/s] 100%|██████████| 12/12 [00:04<00:00, 2.93it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s Uploading outputs... Finished.