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Anime Cosplay with Hybrid Reality
hybrid-reality:v1.0
evevalentine2017
evevalentine2017
·
Jan 2
384
Input
prompt
Specify things to see in the output
anime style, (masterpiece, best quality:1.2), solo, 1girl, kcmomo, grin, waving, wading, ahoge, twintails, serafuku, bowtie, short sleeves, (gloves:1.1), corset, anchor, grey skirt, white thighhighs, garter straps, choker <lora:kancolle_momo-11:1>
negative_prompt
Specify things to not see in the output
fcNeg-neg, (worst quality, low quality:1.4), out of frame
num_outputs
Number of output images
4
width
Output image width
768
height
Output image height
768
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
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0.3
contrast
Adjust contrast
0
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1067670374
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 Karras
samping_steps
Number of denoising steps
24
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
kl-f8-anime2_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
kancolle_momo-11.safetensors
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/8d3985df66734785943ff94d47bf3194/00000-1067670374.webp
https://files.tungsten.run/uploads/c99419bee45041c0975ac86791655c8f/00001-1067670375.webp
https://files.tungsten.run/uploads/f2484fb7fa7d4059ada3fb29a8822399/00002-1067670376.webp
https://files.tungsten.run/uploads/e235916bfae642e098cbec62aee49a3f/00003-1067670377.webp
Finished in 58.1 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: anime style, (masterpiece, best quality:1.2), solo, 1girl, kcmomo, grin, waving, wading, ahoge, twintails, serafuku, bowtie, short sleeves, (gloves:1.1), corset, anchor, grey skirt, white thighhighs, garter straps, choker <lora:kancolle_momo-11:1>, <lora:add_brightness:0.3> Full negative prompt: fcNeg-neg, (worst quality, low quality:1.4), out of frame 0%| | 0/24 [00:00<?, ?it/s] 4%|▍ | 1/24 [00:01<00:27, 1.21s/it] 8%|▊ | 2/24 [00:01<00:19, 1.13it/s] 12%|█▎ | 3/24 [00:02<00:16, 1.29it/s] 17%|█▋ | 4/24 [00:03<00:14, 1.37it/s] 21%|██ | 5/24 [00:03<00:13, 1.43it/s] 25%|██▌ | 6/24 [00:04<00:12, 1.46it/s] 29%|██▉ | 7/24 [00:05<00:11, 1.48it/s] 33%|███▎ | 8/24 [00:05<00:10, 1.50it/s] 38%|███▊ | 9/24 [00:06<00:09, 1.51it/s] 42%|████▏ | 10/24 [00:07<00:09, 1.51it/s] 46%|████▌ | 11/24 [00:07<00:08, 1.52it/s] 50%|█████ | 12/24 [00:08<00:07, 1.52it/s] 54%|█████▍ | 13/24 [00:09<00:07, 1.52it/s] 58%|█████▊ | 14/24 [00:09<00:06, 1.53it/s] 62%|██████▎ | 15/24 [00:10<00:05, 1.53it/s] 67%|██████▋ | 16/24 [00:11<00:05, 1.52it/s] 71%|███████ | 17/24 [00:11<00:04, 1.53it/s] 75%|███████▌ | 18/24 [00:12<00:03, 1.53it/s] 79%|███████▉ | 19/24 [00:12<00:03, 1.53it/s] 83%|████████▎ | 20/24 [00:13<00:02, 1.53it/s] 88%|████████▊ | 21/24 [00:14<00:01, 1.53it/s] 92%|█████████▏| 22/24 [00:14<00:01, 1.53it/s] 96%|█████████▌| 23/24 [00:15<00:00, 1.52it/s] 100%|██████████| 24/24 [00:16<00:00, 1.52it/s] 100%|██████████| 24/24 [00:16<00:00, 1.48it/s] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.7ms Speed: 2.9ms preprocess, 7.7ms inference, 30.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:03, 3.56it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.90it/s] 21%|██▏ | 3/14 [00:00<00:01, 5.56it/s] 29%|██▊ | 4/14 [00:00<00:01, 5.94it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.17it/s] 43%|████▎ | 6/14 [00:01<00:01, 6.24it/s] 50%|█████ | 7/14 [00:01<00:01, 6.26it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.30it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.38it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.44it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.47it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.48it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.46it/s] 100%|██████████| 14/14 [00:02<00:00, 6.43it/s] 100%|██████████| 14/14 [00:02<00:00, 6.14it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.0ms Speed: 2.8ms preprocess, 7.0ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.95it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.75it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.70it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.65it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.62it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.55it/s] 50%|█████ | 7/14 [00:01<00:01, 6.47it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.43it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.47it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.49it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.51it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.52it/s] 93%|█████████▎| 13/14 [00:01<00:00, 6.45it/s] 100%|██████████| 14/14 [00:02<00:00, 6.42it/s] 100%|██████████| 14/14 [00:02<00:00, 6.51it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.68it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.60it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.59it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.60it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.50it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.43it/s] 50%|█████ | 7/14 [00:01<00:01, 6.43it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.46it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.49it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.50it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.50it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.46it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.44it/s] 100%|██████████| 14/14 [00:02<00:00, 6.45it/s] 100%|██████████| 14/14 [00:02<00:00, 6.49it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.92it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.71it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.66it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.64it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.64it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.56it/s] 50%|█████ | 7/14 [00:01<00:01, 6.47it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.42it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.44it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.47it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.50it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.48it/s] 93%|█████████▎| 13/14 [00:01<00:00, 6.45it/s] 100%|██████████| 14/14 [00:02<00:00, 6.41it/s] 100%|██████████| 14/14 [00:02<00:00, 6.50it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.9ms Speed: 2.7ms preprocess, 7.9ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 7.00it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.76it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.68it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.63it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.61it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.53it/s] 50%|█████ | 7/14 [00:01<00:01, 6.46it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.41it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.44it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.45it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.49it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.49it/s] 93%|█████████▎| 13/14 [00:01<00:00, 6.46it/s] 100%|██████████| 14/14 [00:02<00:00, 6.40it/s] 100%|██████████| 14/14 [00:02<00:00, 6.50it/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<00:01, 6.84it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.71it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.68it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.64it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.50it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.42it/s] 50%|█████ | 7/14 [00:01<00:01, 6.39it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.43it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.46it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.49it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.49it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.45it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.40it/s] 100%|██████████| 14/14 [00:02<00:00, 6.42it/s] 100%|██████████| 14/14 [00:02<00:00, 6.48it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 3.3ms preprocess, 7.6ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 7.00it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.73it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.66it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.63it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.60it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.51it/s] 50%|█████ | 7/14 [00:01<00:01, 6.43it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.41it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.45it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.47it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.49it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.48it/s] 93%|█████████▎| 13/14 [00:01<00:00, 6.43it/s] 100%|██████████| 14/14 [00:02<00:00, 6.39it/s] 100%|██████████| 14/14 [00:02<00:00, 6.49it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.7ms Speed: 3.0ms preprocess, 7.7ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 7.00it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.72it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.65it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.56it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.59it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.52it/s] 50%|█████ | 7/14 [00:01<00:01, 6.45it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.41it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.44it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.45it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.47it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.47it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.45it/s] 100%|██████████| 14/14 [00:02<00:00, 6.42it/s] 100%|██████████| 14/14 [00:02<00:00, 6.49it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.78it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.67it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.63it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.59it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.50it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.42it/s] 50%|█████ | 7/14 [00:01<00:01, 6.38it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.42it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.46it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.50it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.48it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.44it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.41it/s] 100%|██████████| 14/14 [00:02<00:00, 6.39it/s] 100%|██████████| 14/14 [00:02<00:00, 6.46it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 2.8ms preprocess, 7.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.85it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.71it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.66it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.63it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.60it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.51it/s] 50%|█████ | 7/14 [00:01<00:01, 6.42it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.38it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.43it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.45it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.49it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.48it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.43it/s] 100%|██████████| 14/14 [00:02<00:00, 6.40it/s] 100%|██████████| 14/14 [00:02<00:00, 6.48it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.0ms Speed: 2.9ms 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<00:01, 6.79it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.66it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.62it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.59it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.59it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.51it/s] 50%|█████ | 7/14 [00:01<00:01, 6.44it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.41it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.45it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.48it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.50it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.48it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.44it/s] 100%|██████████| 14/14 [00:02<00:00, 6.42it/s] 100%|██████████| 14/14 [00:02<00:00, 6.49it/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
anime style, (masterpiece, best quality:1.2), solo, 1girl, kcmomo, grin, waving, wading, ahoge, twintails, serafuku, bowtie, short sleeves, (gloves:1.1), corset, anchor, grey skirt, white thighhighs, garter straps, choker <lora:kancolle_momo-11:1>
negative_prompt
Specify things to not see in the output
fcNeg-neg, (worst quality, low quality:1.4), out of frame
num_outputs
Number of output images
4
width
Output image width
768
height
Output image height
768
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
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0.3
contrast
Adjust contrast
0
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1067670374
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 Karras
samping_steps
Number of denoising steps
24
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
kl-f8-anime2_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
kancolle_momo-11.safetensors
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/8d3985df66734785943ff94d47bf3194/00000-1067670374.webp
https://files.tungsten.run/uploads/c99419bee45041c0975ac86791655c8f/00001-1067670375.webp
https://files.tungsten.run/uploads/f2484fb7fa7d4059ada3fb29a8822399/00002-1067670376.webp
https://files.tungsten.run/uploads/e235916bfae642e098cbec62aee49a3f/00003-1067670377.webp
Finished in 58.1 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: anime style, (masterpiece, best quality:1.2), solo, 1girl, kcmomo, grin, waving, wading, ahoge, twintails, serafuku, bowtie, short sleeves, (gloves:1.1), corset, anchor, grey skirt, white thighhighs, garter straps, choker <lora:kancolle_momo-11:1>, <lora:add_brightness:0.3> Full negative prompt: fcNeg-neg, (worst quality, low quality:1.4), out of frame 0%| | 0/24 [00:00<?, ?it/s] 4%|▍ | 1/24 [00:01<00:27, 1.21s/it] 8%|▊ | 2/24 [00:01<00:19, 1.13it/s] 12%|█▎ | 3/24 [00:02<00:16, 1.29it/s] 17%|█▋ | 4/24 [00:03<00:14, 1.37it/s] 21%|██ | 5/24 [00:03<00:13, 1.43it/s] 25%|██▌ | 6/24 [00:04<00:12, 1.46it/s] 29%|██▉ | 7/24 [00:05<00:11, 1.48it/s] 33%|███▎ | 8/24 [00:05<00:10, 1.50it/s] 38%|███▊ | 9/24 [00:06<00:09, 1.51it/s] 42%|████▏ | 10/24 [00:07<00:09, 1.51it/s] 46%|████▌ | 11/24 [00:07<00:08, 1.52it/s] 50%|█████ | 12/24 [00:08<00:07, 1.52it/s] 54%|█████▍ | 13/24 [00:09<00:07, 1.52it/s] 58%|█████▊ | 14/24 [00:09<00:06, 1.53it/s] 62%|██████▎ | 15/24 [00:10<00:05, 1.53it/s] 67%|██████▋ | 16/24 [00:11<00:05, 1.52it/s] 71%|███████ | 17/24 [00:11<00:04, 1.53it/s] 75%|███████▌ | 18/24 [00:12<00:03, 1.53it/s] 79%|███████▉ | 19/24 [00:12<00:03, 1.53it/s] 83%|████████▎ | 20/24 [00:13<00:02, 1.53it/s] 88%|████████▊ | 21/24 [00:14<00:01, 1.53it/s] 92%|█████████▏| 22/24 [00:14<00:01, 1.53it/s] 96%|█████████▌| 23/24 [00:15<00:00, 1.52it/s] 100%|██████████| 24/24 [00:16<00:00, 1.52it/s] 100%|██████████| 24/24 [00:16<00:00, 1.48it/s] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.7ms Speed: 2.9ms preprocess, 7.7ms inference, 30.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:03, 3.56it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.90it/s] 21%|██▏ | 3/14 [00:00<00:01, 5.56it/s] 29%|██▊ | 4/14 [00:00<00:01, 5.94it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.17it/s] 43%|████▎ | 6/14 [00:01<00:01, 6.24it/s] 50%|█████ | 7/14 [00:01<00:01, 6.26it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.30it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.38it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.44it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.47it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.48it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.46it/s] 100%|██████████| 14/14 [00:02<00:00, 6.43it/s] 100%|██████████| 14/14 [00:02<00:00, 6.14it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.0ms Speed: 2.8ms preprocess, 7.0ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.95it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.75it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.70it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.65it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.62it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.55it/s] 50%|█████ | 7/14 [00:01<00:01, 6.47it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.43it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.47it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.49it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.51it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.52it/s] 93%|█████████▎| 13/14 [00:01<00:00, 6.45it/s] 100%|██████████| 14/14 [00:02<00:00, 6.42it/s] 100%|██████████| 14/14 [00:02<00:00, 6.51it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.68it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.60it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.59it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.60it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.50it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.43it/s] 50%|█████ | 7/14 [00:01<00:01, 6.43it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.46it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.49it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.50it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.50it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.46it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.44it/s] 100%|██████████| 14/14 [00:02<00:00, 6.45it/s] 100%|██████████| 14/14 [00:02<00:00, 6.49it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.92it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.71it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.66it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.64it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.64it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.56it/s] 50%|█████ | 7/14 [00:01<00:01, 6.47it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.42it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.44it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.47it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.50it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.48it/s] 93%|█████████▎| 13/14 [00:01<00:00, 6.45it/s] 100%|██████████| 14/14 [00:02<00:00, 6.41it/s] 100%|██████████| 14/14 [00:02<00:00, 6.50it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.9ms Speed: 2.7ms preprocess, 7.9ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 7.00it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.76it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.68it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.63it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.61it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.53it/s] 50%|█████ | 7/14 [00:01<00:01, 6.46it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.41it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.44it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.45it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.49it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.49it/s] 93%|█████████▎| 13/14 [00:01<00:00, 6.46it/s] 100%|██████████| 14/14 [00:02<00:00, 6.40it/s] 100%|██████████| 14/14 [00:02<00:00, 6.50it/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<00:01, 6.84it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.71it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.68it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.64it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.50it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.42it/s] 50%|█████ | 7/14 [00:01<00:01, 6.39it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.43it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.46it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.49it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.49it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.45it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.40it/s] 100%|██████████| 14/14 [00:02<00:00, 6.42it/s] 100%|██████████| 14/14 [00:02<00:00, 6.48it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 3.3ms preprocess, 7.6ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 7.00it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.73it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.66it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.63it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.60it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.51it/s] 50%|█████ | 7/14 [00:01<00:01, 6.43it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.41it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.45it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.47it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.49it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.48it/s] 93%|█████████▎| 13/14 [00:01<00:00, 6.43it/s] 100%|██████████| 14/14 [00:02<00:00, 6.39it/s] 100%|██████████| 14/14 [00:02<00:00, 6.49it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.7ms Speed: 3.0ms preprocess, 7.7ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 7.00it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.72it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.65it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.56it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.59it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.52it/s] 50%|█████ | 7/14 [00:01<00:01, 6.45it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.41it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.44it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.45it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.47it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.47it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.45it/s] 100%|██████████| 14/14 [00:02<00:00, 6.42it/s] 100%|██████████| 14/14 [00:02<00:00, 6.49it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.78it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.67it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.63it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.59it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.50it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.42it/s] 50%|█████ | 7/14 [00:01<00:01, 6.38it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.42it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.46it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.50it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.48it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.44it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.41it/s] 100%|██████████| 14/14 [00:02<00:00, 6.39it/s] 100%|██████████| 14/14 [00:02<00:00, 6.46it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 2.8ms preprocess, 7.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:01, 6.85it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.71it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.66it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.63it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.60it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.51it/s] 50%|█████ | 7/14 [00:01<00:01, 6.42it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.38it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.43it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.45it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.49it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.48it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.43it/s] 100%|██████████| 14/14 [00:02<00:00, 6.40it/s] 100%|██████████| 14/14 [00:02<00:00, 6.48it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.0ms Speed: 2.9ms 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<00:01, 6.79it/s] 14%|█▍ | 2/14 [00:00<00:01, 6.66it/s] 21%|██▏ | 3/14 [00:00<00:01, 6.62it/s] 29%|██▊ | 4/14 [00:00<00:01, 6.59it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.59it/s] 43%|████▎ | 6/14 [00:00<00:01, 6.51it/s] 50%|█████ | 7/14 [00:01<00:01, 6.44it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.41it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.45it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.48it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.50it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.48it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.44it/s] 100%|██████████| 14/14 [00:02<00:00, 6.42it/s] 100%|██████████| 14/14 [00:02<00:00, 6.49it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Uploading outputs... Finished.