aganime
aganime
6 stars
Version: v1.0
Input
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
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
saturation
Adjust saturation
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/45092f59981f4714a03bbedbf759ebee/00000-4017901778.webp
https://files.tungsten.run/uploads/f90e569983b64509b1b29613d6366812/00001-4017901779.webp
https://files.tungsten.run/uploads/cbab6b339bc14e69885ad8944dd6172e/00002-4017901780.webp
https://files.tungsten.run/uploads/185fed81e8274c85817934848a6e4aa6/00003-4017901781.webp
This example was created by evevalentine2017
Finished in 134.3 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: (masterpiece, best quality), 1female young adult, (solo), lithe, native hawaiian, black eyes, pointed ears, receding chin with cleft, uneven cheeks, rounded forehead, well-formed back muscles, birthmarks, auburn slicked-back hair hair, disappointment wearing wide-leg jumpsuit, corset, lying on side with raised leg, lying on the side with a raised leg, creating an intimate and captivating pose, underwater lighting, a dreamlike, blue-tinted illumination for underwater scenes, adding a sensual touch, a family dinner gathering, with a beautifully set table and heartfelt conversations, Volumetric Lighting, Volumetric Light, Volumetric, <lora:more_details:0.4>, <lora:add_saturation:-0.4> Full negative prompt: missing wings, missing horns, Nsfw:1.7, topless, nude, ((more than 2 feet)), ((more than 2 legs)), (worst quality, low quality, large head, extra digits:1.4), EasyNegativeV2, bad_prompt_version2-neg, ng_deepnegative_v1_75t, blurry, monochrome, grayscale, 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:50, 1.75s/it] 7%|▋ | 2/30 [00:03<00:47, 1.71s/it] 10%|█ | 3/30 [00:05<00:45, 1.70s/it] 13%|█▎ | 4/30 [00:06<00:45, 1.74s/it] 17%|█▋ | 5/30 [00:08<00:44, 1.78s/it] 20%|██ | 6/30 [00:10<00:42, 1.78s/it] 23%|██▎ | 7/30 [00:12<00:40, 1.75s/it] 27%|██▋ | 8/30 [00:13<00:38, 1.75s/it] 30%|███ | 9/30 [00:15<00:37, 1.76s/it] 33%|███▎ | 10/30 [00:17<00:35, 1.77s/it] 37%|███▋ | 11/30 [00:19<00:35, 1.86s/it] 40%|████ | 12/30 [00:21<00:32, 1.81s/it] 43%|████▎ | 13/30 [00:23<00:30, 1.79s/it] 47%|████▋ | 14/30 [00:24<00:27, 1.70s/it] 50%|█████ | 15/30 [00:26<00:25, 1.67s/it] 53%|█████▎ | 16/30 [00:27<00:22, 1.62s/it] 57%|█████▋ | 17/30 [00:29<00:20, 1.61s/it] 60%|██████ | 18/30 [00:30<00:19, 1.62s/it] 63%|██████▎ | 19/30 [00:32<00:17, 1.61s/it] 67%|██████▋ | 20/30 [00:34<00:16, 1.63s/it] 70%|███████ | 21/30 [00:35<00:14, 1.61s/it] 73%|███████▎ | 22/30 [00:37<00:12, 1.62s/it] 77%|███████▋ | 23/30 [00:38<00:10, 1.54s/it] 80%|████████ | 24/30 [00:40<00:08, 1.49s/it] 83%|████████▎ | 25/30 [00:41<00:07, 1.49s/it] 87%|████████▋ | 26/30 [00:43<00:06, 1.53s/it] 90%|█████████ | 27/30 [00:44<00:04, 1.53s/it] 93%|█████████▎| 28/30 [00:46<00:03, 1.52s/it] 97%|█████████▋| 29/30 [00:47<00:01, 1.34s/it] 100%|██████████| 30/30 [00:47<00:00, 1.13s/it] 100%|██████████| 30/30 [00:47<00:00, 1.59s/it] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.9ms Speed: 2.9ms preprocess, 7.9ms inference, 23.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:08, 1.57it/s] 14%|█▍ | 2/14 [00:01<00:06, 1.90it/s] 21%|██▏ | 3/14 [00:01<00:05, 2.06it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.09it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.16it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.16it/s] 50%|█████ | 7/14 [00:03<00:03, 2.29it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.37it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.36it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.32it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.32it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.33it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.62it/s] 100%|██████████| 14/14 [00:05<00:00, 3.06it/s] 100%|██████████| 14/14 [00:05<00:00, 2.39it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.01s 0: 640x640 2 hands, 7.3ms Speed: 3.0ms preprocess, 7.3ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.20it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.14it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.21it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.19it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.21it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.16it/s] 50%|█████ | 7/14 [00:03<00:03, 2.29it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.37it/s] 64%|██████▍ | 9/14 [00:03<00:02, 2.38it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.34it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.36it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.37it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.66it/s] 100%|██████████| 14/14 [00:05<00:00, 3.10it/s] 100%|██████████| 14/14 [00:05<00:00, 2.46it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:06, 2.10it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.19it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.25it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.22it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.25it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.24it/s] 50%|█████ | 7/14 [00:03<00:02, 2.36it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.44it/s] 64%|██████▍ | 9/14 [00:03<00:02, 2.44it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.40it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.40it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.40it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.69it/s] 100%|██████████| 14/14 [00:05<00:00, 3.13it/s] 100%|██████████| 14/14 [00:05<00:00, 2.50it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.24it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.19it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.23it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.20it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.25it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.24it/s] 50%|█████ | 7/14 [00:03<00:02, 2.35it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.42it/s] 64%|██████▍ | 9/14 [00:03<00:02, 2.38it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.35it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.36it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.38it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.67it/s] 100%|██████████| 14/14 [00:05<00:00, 3.11it/s] 100%|██████████| 14/14 [00:05<00:00, 2.49it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.1ms Speed: 2.7ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.26it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.24it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.29it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.22it/s] 36%|███▌ | 5/14 [00:02<00:03, 2.26it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.25it/s] 50%|█████ | 7/14 [00:03<00:02, 2.37it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.44it/s] 64%|██████▍ | 9/14 [00:03<00:02, 2.42it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.36it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.37it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.39it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.66it/s] 100%|██████████| 14/14 [00:05<00:00, 3.10it/s] 100%|██████████| 14/14 [00:05<00:00, 2.50it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.23it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.23it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.25it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.20it/s] 36%|███▌ | 5/14 [00:02<00:03, 2.25it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.24it/s] 50%|█████ | 7/14 [00:03<00:02, 2.36it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.43it/s] 64%|██████▍ | 9/14 [00:03<00:02, 2.41it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.35it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.37it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.39it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.67it/s] 100%|██████████| 14/14 [00:05<00:00, 3.09it/s] 100%|██████████| 14/14 [00:05<00:00, 2.49it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 2.8ms preprocess, 7.6ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.21it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.24it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.27it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.24it/s] 36%|███▌ | 5/14 [00:02<00:03, 2.26it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.26it/s] 50%|█████ | 7/14 [00:03<00:02, 2.38it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.44it/s] 64%|██████▍ | 9/14 [00:03<00:02, 2.42it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.36it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.36it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.38it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.67it/s] 100%|██████████| 14/14 [00:05<00:00, 3.12it/s] 100%|██████████| 14/14 [00:05<00:00, 2.50it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 6.9ms Speed: 2.7ms preprocess, 6.9ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.18it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.21it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.25it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.20it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.24it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.22it/s] 50%|█████ | 7/14 [00:03<00:03, 2.33it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.40it/s] 64%|██████▍ | 9/14 [00:03<00:02, 2.37it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.33it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.33it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.34it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.62it/s] 100%|██████████| 14/14 [00:05<00:00, 3.06it/s] 100%|██████████| 14/14 [00:05<00:00, 2.46it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.7ms Speed: 2.7ms preprocess, 7.7ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.24it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.22it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.24it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.20it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.24it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.24it/s] 50%|█████ | 7/14 [00:03<00:02, 2.36it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.43it/s] 64%|██████▍ | 9/14 [00:03<00:02, 2.42it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.34it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.36it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.37it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.66it/s] 100%|██████████| 14/14 [00:05<00:00, 3.11it/s] 100%|██████████| 14/14 [00:05<00:00, 2.49it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 3 hands, 7.0ms Speed: 2.7ms preprocess, 7.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.24it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.25it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.29it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.24it/s] 36%|███▌ | 5/14 [00:02<00:03, 2.28it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.25it/s] 50%|█████ | 7/14 [00:03<00:02, 2.37it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.41it/s] 64%|██████▍ | 9/14 [00:03<00:02, 2.40it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.34it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.33it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.36it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.65it/s] 100%|██████████| 14/14 [00:05<00:00, 3.08it/s] 100%|██████████| 14/14 [00:05<00:00, 2.49it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.24it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.26it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.30it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.26it/s] 36%|███▌ | 5/14 [00:02<00:03, 2.29it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.27it/s] 50%|█████ | 7/14 [00:03<00:02, 2.38it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.44it/s] 64%|██████▍ | 9/14 [00:03<00:02, 2.41it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.35it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.35it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.38it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.65it/s] 100%|██████████| 14/14 [00:05<00:00, 3.07it/s] 100%|██████████| 14/14 [00:05<00:00, 2.50it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.20it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.24it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.28it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.24it/s] 36%|███▌ | 5/14 [00:02<00:03, 2.27it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.27it/s] 50%|█████ | 7/14 [00:03<00:02, 2.38it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.42it/s] 64%|██████▍ | 9/14 [00:03<00:02, 2.42it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.37it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.38it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.38it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.67it/s] 100%|██████████| 14/14 [00:05<00:00, 3.11it/s] 100%|██████████| 14/14 [00:05<00:00, 2.50it/s] Decoding latents in cuda:0... done in 0.24s 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
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
saturation
Adjust saturation
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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https://files.tungsten.run/uploads/45092f59981f4714a03bbedbf759ebee/00000-4017901778.webp
https://files.tungsten.run/uploads/f90e569983b64509b1b29613d6366812/00001-4017901779.webp
https://files.tungsten.run/uploads/cbab6b339bc14e69885ad8944dd6172e/00002-4017901780.webp
https://files.tungsten.run/uploads/185fed81e8274c85817934848a6e4aa6/00003-4017901781.webp
This example was created by evevalentine2017
Finished in 134.3 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: (masterpiece, best quality), 1female young adult, (solo), lithe, native hawaiian, black eyes, pointed ears, receding chin with cleft, uneven cheeks, rounded forehead, well-formed back muscles, birthmarks, auburn slicked-back hair hair, disappointment wearing wide-leg jumpsuit, corset, lying on side with raised leg, lying on the side with a raised leg, creating an intimate and captivating pose, underwater lighting, a dreamlike, blue-tinted illumination for underwater scenes, adding a sensual touch, a family dinner gathering, with a beautifully set table and heartfelt conversations, Volumetric Lighting, Volumetric Light, Volumetric, <lora:more_details:0.4>, <lora:add_saturation:-0.4> Full negative prompt: missing wings, missing horns, Nsfw:1.7, topless, nude, ((more than 2 feet)), ((more than 2 legs)), (worst quality, low quality, large head, extra digits:1.4), EasyNegativeV2, bad_prompt_version2-neg, ng_deepnegative_v1_75t, blurry, monochrome, grayscale, 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:50, 1.75s/it] 7%|▋ | 2/30 [00:03<00:47, 1.71s/it] 10%|█ | 3/30 [00:05<00:45, 1.70s/it] 13%|█▎ | 4/30 [00:06<00:45, 1.74s/it] 17%|█▋ | 5/30 [00:08<00:44, 1.78s/it] 20%|██ | 6/30 [00:10<00:42, 1.78s/it] 23%|██▎ | 7/30 [00:12<00:40, 1.75s/it] 27%|██▋ | 8/30 [00:13<00:38, 1.75s/it] 30%|███ | 9/30 [00:15<00:37, 1.76s/it] 33%|███▎ | 10/30 [00:17<00:35, 1.77s/it] 37%|███▋ | 11/30 [00:19<00:35, 1.86s/it] 40%|████ | 12/30 [00:21<00:32, 1.81s/it] 43%|████▎ | 13/30 [00:23<00:30, 1.79s/it] 47%|████▋ | 14/30 [00:24<00:27, 1.70s/it] 50%|█████ | 15/30 [00:26<00:25, 1.67s/it] 53%|█████▎ | 16/30 [00:27<00:22, 1.62s/it] 57%|█████▋ | 17/30 [00:29<00:20, 1.61s/it] 60%|██████ | 18/30 [00:30<00:19, 1.62s/it] 63%|██████▎ | 19/30 [00:32<00:17, 1.61s/it] 67%|██████▋ | 20/30 [00:34<00:16, 1.63s/it] 70%|███████ | 21/30 [00:35<00:14, 1.61s/it] 73%|███████▎ | 22/30 [00:37<00:12, 1.62s/it] 77%|███████▋ | 23/30 [00:38<00:10, 1.54s/it] 80%|████████ | 24/30 [00:40<00:08, 1.49s/it] 83%|████████▎ | 25/30 [00:41<00:07, 1.49s/it] 87%|████████▋ | 26/30 [00:43<00:06, 1.53s/it] 90%|█████████ | 27/30 [00:44<00:04, 1.53s/it] 93%|█████████▎| 28/30 [00:46<00:03, 1.52s/it] 97%|█████████▋| 29/30 [00:47<00:01, 1.34s/it] 100%|██████████| 30/30 [00:47<00:00, 1.13s/it] 100%|██████████| 30/30 [00:47<00:00, 1.59s/it] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.9ms Speed: 2.9ms preprocess, 7.9ms inference, 23.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:08, 1.57it/s] 14%|█▍ | 2/14 [00:01<00:06, 1.90it/s] 21%|██▏ | 3/14 [00:01<00:05, 2.06it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.09it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.16it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.16it/s] 50%|█████ | 7/14 [00:03<00:03, 2.29it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.37it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.36it/s] 71%|███████▏ | 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preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.24it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.19it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.23it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.20it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.25it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.24it/s] 50%|█████ | 7/14 [00:03<00:02, 2.35it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.42it/s] 64%|██████▍ | 9/14 [00:03<00:02, 2.38it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.35it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.36it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.38it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.67it/s] 100%|██████████| 14/14 [00:05<00:00, 3.11it/s] 100%|██████████| 14/14 [00:05<00:00, 2.49it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.1ms Speed: 2.7ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.26it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.24it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.29it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.22it/s] 36%|███▌ | 5/14 [00:02<00:03, 2.26it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.25it/s] 50%|█████ | 7/14 [00:03<00:02, 2.37it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.44it/s] 64%|██████▍ | 9/14 [00:03<00:02, 2.42it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.36it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.37it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.39it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.66it/s] 100%|██████████| 14/14 [00:05<00:00, 3.10it/s] 100%|██████████| 14/14 [00:05<00:00, 2.50it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.23it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.23it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.25it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.20it/s] 36%|███▌ | 5/14 [00:02<00:03, 2.25it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.24it/s] 50%|█████ | 7/14 [00:03<00:02, 2.36it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.43it/s] 64%|██████▍ | 9/14 [00:03<00:02, 2.41it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.35it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.37it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.39it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.67it/s] 100%|██████████| 14/14 [00:05<00:00, 3.09it/s] 100%|██████████| 14/14 [00:05<00:00, 2.49it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 2.8ms preprocess, 7.6ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.21it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.24it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.27it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.24it/s] 36%|███▌ | 5/14 [00:02<00:03, 2.26it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.26it/s] 50%|█████ | 7/14 [00:03<00:02, 2.38it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.44it/s] 64%|██████▍ | 9/14 [00:03<00:02, 2.42it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.36it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.36it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.38it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.67it/s] 100%|██████████| 14/14 [00:05<00:00, 3.12it/s] 100%|██████████| 14/14 [00:05<00:00, 2.50it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 6.9ms Speed: 2.7ms preprocess, 6.9ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.18it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.21it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.25it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.20it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.24it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.22it/s] 50%|█████ | 7/14 [00:03<00:03, 2.33it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.40it/s] 64%|██████▍ | 9/14 [00:03<00:02, 2.37it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.33it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.33it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.34it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.62it/s] 100%|██████████| 14/14 [00:05<00:00, 3.06it/s] 100%|██████████| 14/14 [00:05<00:00, 2.46it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.7ms Speed: 2.7ms preprocess, 7.7ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.24it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.22it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.24it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.20it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.24it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.24it/s] 50%|█████ | 7/14 [00:03<00:02, 2.36it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.43it/s] 64%|██████▍ | 9/14 [00:03<00:02, 2.42it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.34it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.36it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.37it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.66it/s] 100%|██████████| 14/14 [00:05<00:00, 3.11it/s] 100%|██████████| 14/14 [00:05<00:00, 2.49it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 3 hands, 7.0ms Speed: 2.7ms preprocess, 7.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.24it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.25it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.29it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.24it/s] 36%|███▌ | 5/14 [00:02<00:03, 2.28it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.25it/s] 50%|█████ | 7/14 [00:03<00:02, 2.37it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.41it/s] 64%|██████▍ | 9/14 [00:03<00:02, 2.40it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.34it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.33it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.36it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.65it/s] 100%|██████████| 14/14 [00:05<00:00, 3.08it/s] 100%|██████████| 14/14 [00:05<00:00, 2.49it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.24it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.26it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.30it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.26it/s] 36%|███▌ | 5/14 [00:02<00:03, 2.29it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.27it/s] 50%|█████ | 7/14 [00:03<00:02, 2.38it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.44it/s] 64%|██████▍ | 9/14 [00:03<00:02, 2.41it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.35it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.35it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.38it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.65it/s] 100%|██████████| 14/14 [00:05<00:00, 3.07it/s] 100%|██████████| 14/14 [00:05<00:00, 2.50it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.20it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.24it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.28it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.24it/s] 36%|███▌ | 5/14 [00:02<00:03, 2.27it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.27it/s] 50%|█████ | 7/14 [00:03<00:02, 2.38it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.42it/s] 64%|██████▍ | 9/14 [00:03<00:02, 2.42it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.37it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.38it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.38it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.67it/s] 100%|██████████| 14/14 [00:05<00:00, 3.11it/s] 100%|██████████| 14/14 [00:05<00:00, 2.50it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Uploading outputs... Finished.