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Bunny-Hooded Killers with Mf Mix
mf-mix:v1.0
evevalentine2017
evevalentine2017
·
Jan 6
346
Input
prompt
Specify things to see in the output
The cute madness rabbit-girl is depicted in full height, standing on its hind legs, with a threatening expression on its face. her coat has a dark gray shade, which creates an atmosphere of mystery and danger. The killer rabbit-girl is dressed in a (black cloak stained with blood:1.3), which gives her mystery and inaccessibility. In her front paws he holds a weapon - a knife or a dagger, which is a symbol of his cruelty and ruthlessness. She is ready for action, her eyes are full of an ominous gleam, and his mustache is directed downwards, creating the effect of tension and readiness to attack. The background of the picture is dark and gloomy to emphasize the character of the character. the night sky with the moon and the dark forest, adding mystery and horror, <lora:add_detail:0.7>
negative_prompt
Specify things to not see in the output
easynegative, ng_deepnegative_v1_75t, (bad-hands-5:1.2), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, ((monochrome)), ((grayscale)) watermark, moles, large breast, big breast
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
0.4
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
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.
965879406
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
Euler a
samping_steps
Number of denoising steps
25
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>
add_detail.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)
easynegative.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-hands-5.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
Output
https://files.tungsten.run/uploads/e119622d60114111989229af6210af08/00000-965879406.webp
https://files.tungsten.run/uploads/0f44a48d794547489dda1b5c076040d8/00001-965879407.webp
https://files.tungsten.run/uploads/7be4357c63fe4e2a9dfba95283704694/00002-965879408.webp
https://files.tungsten.run/uploads/88f3995dc4eb4b29833430b0b6990868/00003-965879409.webp
Finished in 71.7 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: The cute madness rabbit-girl is depicted in full height, standing on its hind legs, with a threatening expression on its face. her coat has a dark gray shade, which creates an atmosphere of mystery and danger. The killer rabbit-girl is dressed in a (black cloak stained with blood:1.3), which gives her mystery and inaccessibility. In her front paws he holds a weapon - a knife or a dagger, which is a symbol of his cruelty and ruthlessness. She is ready for action, her eyes are full of an ominous gleam, and his mustache is directed downwards, creating the effect of tension and readiness to attack. The background of the picture is dark and gloomy to emphasize the character of the character. the night sky with the moon and the dark forest, adding mystery and horror Full negative prompt: easynegative, ng_deepnegative_v1_75t, (bad-hands-5:1.2), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, ((monochrome)), ((grayscale)) watermark, moles, large breast, big breast 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:00<00:16, 1.47it/s] 8%|▊ | 2/25 [00:01<00:15, 1.50it/s] 12%|█▏ | 3/25 [00:01<00:14, 1.53it/s] 16%|█▌ | 4/25 [00:02<00:13, 1.54it/s] 20%|██ | 5/25 [00:03<00:12, 1.55it/s] 24%|██▍ | 6/25 [00:03<00:12, 1.55it/s] 28%|██▊ | 7/25 [00:04<00:11, 1.54it/s] 32%|███▏ | 8/25 [00:05<00:10, 1.55it/s] 36%|███▌ | 9/25 [00:05<00:10, 1.54it/s] 40%|████ | 10/25 [00:06<00:09, 1.55it/s] 44%|████▍ | 11/25 [00:07<00:09, 1.55it/s] 48%|████▊ | 12/25 [00:07<00:08, 1.55it/s] 52%|█████▏ | 13/25 [00:08<00:07, 1.55it/s] 56%|█████▌ | 14/25 [00:09<00:07, 1.55it/s] 60%|██████ | 15/25 [00:09<00:06, 1.55it/s] 64%|██████▍ | 16/25 [00:10<00:05, 1.55it/s] 68%|██████▊ | 17/25 [00:10<00:05, 1.55it/s] 72%|███████▏ | 18/25 [00:11<00:04, 1.55it/s] 76%|███████▌ | 19/25 [00:12<00:03, 1.55it/s] 80%|████████ | 20/25 [00:12<00:03, 1.55it/s] 84%|████████▍ | 21/25 [00:13<00:02, 1.55it/s] 88%|████████▊ | 22/25 [00:14<00:01, 1.55it/s] 92%|█████████▏| 23/25 [00:14<00:01, 1.55it/s] 96%|█████████▌| 24/25 [00:15<00:00, 1.55it/s] 100%|██████████| 25/25 [00:16<00:00, 1.56it/s] 100%|██████████| 25/25 [00:16<00:00, 1.55it/s] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.02s 0: 640x640 2 faces, 7.7ms Speed: 3.0ms preprocess, 7.7ms inference, 31.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:03, 2.59it/s] 18%|█▊ | 2/11 [00:00<00:02, 3.65it/s] 27%|██▋ | 3/11 [00:00<00:01, 4.18it/s] 36%|███▋ | 4/11 [00:00<00:01, 4.48it/s] 45%|████▌ | 5/11 [00:01<00:01, 4.66it/s] 55%|█████▍ | 6/11 [00:01<00:01, 4.76it/s] 64%|██████▎ | 7/11 [00:01<00:00, 4.84it/s] 73%|███████▎ | 8/11 [00:01<00:00, 4.87it/s] 82%|████████▏ | 9/11 [00:01<00:00, 4.90it/s] 91%|█████████ | 10/11 [00:02<00:00, 4.91it/s] 100%|██████████| 11/11 [00:02<00:00, 4.97it/s] 100%|██████████| 11/11 [00:02<00:00, 4.62it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:02, 4.97it/s] 18%|█▊ | 2/11 [00:00<00:01, 5.01it/s] 27%|██▋ | 3/11 [00:00<00:01, 5.02it/s] 36%|███▋ | 4/11 [00:00<00:01, 4.90it/s] 45%|████▌ | 5/11 [00:01<00:01, 4.86it/s] 55%|█████▍ | 6/11 [00:01<00:01, 4.93it/s] 64%|██████▎ | 7/11 [00:01<00:00, 4.97it/s] 73%|███████▎ | 8/11 [00:01<00:00, 4.97it/s] 82%|████████▏ | 9/11 [00:01<00:00, 4.98it/s] 91%|█████████ | 10/11 [00:02<00:00, 4.99it/s] 100%|██████████| 11/11 [00:02<00:00, 5.03it/s] 100%|██████████| 11/11 [00:02<00:00, 4.98it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 4 hands, 6.8ms Speed: 2.7ms preprocess, 6.8ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 5.06it/s] 18%|█▊ | 2/11 [00:00<00:01, 5.06it/s] 27%|██▋ | 3/11 [00:00<00:01, 5.06it/s] 36%|███▋ | 4/11 [00:00<00:01, 5.05it/s] 45%|████▌ | 5/11 [00:00<00:01, 5.05it/s] 55%|█████▍ | 6/11 [00:01<00:00, 5.05it/s] 64%|██████▎ | 7/11 [00:01<00:00, 5.05it/s] 73%|███████▎ | 8/11 [00:01<00:00, 5.01it/s] 82%|████████▏ | 9/11 [00:01<00:00, 5.01it/s] 91%|█████████ | 10/11 [00:01<00:00, 5.02it/s] 100%|██████████| 11/11 [00:02<00:00, 5.08it/s] 100%|██████████| 11/11 [00:02<00:00, 5.05it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:02, 4.81it/s] 18%|█▊ | 2/11 [00:00<00:01, 4.91it/s] 27%|██▋ | 3/11 [00:00<00:01, 4.98it/s] 36%|███▋ | 4/11 [00:00<00:01, 4.97it/s] 45%|████▌ | 5/11 [00:01<00:01, 4.98it/s] 55%|█████▍ | 6/11 [00:01<00:01, 4.93it/s] 64%|██████▎ | 7/11 [00:01<00:00, 4.96it/s] 73%|███████▎ | 8/11 [00:01<00:00, 4.99it/s] 82%|████████▏ | 9/11 [00:01<00:00, 5.02it/s] 91%|█████████ | 10/11 [00:02<00:00, 5.02it/s] 100%|██████████| 11/11 [00:02<00:00, 5.08it/s] 100%|██████████| 11/11 [00:02<00:00, 5.00it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 5.00it/s] 18%|█▊ | 2/11 [00:00<00:01, 5.03it/s] 27%|██▋ | 3/11 [00:00<00:01, 5.00it/s] 36%|███▋ | 4/11 [00:00<00:01, 5.04it/s] 45%|████▌ | 5/11 [00:00<00:01, 5.06it/s] 55%|█████▍ | 6/11 [00:01<00:00, 5.06it/s] 64%|██████▎ | 7/11 [00:01<00:00, 5.06it/s] 73%|███████▎ | 8/11 [00:01<00:00, 5.05it/s] 82%|████████▏ | 9/11 [00:01<00:00, 5.06it/s] 91%|█████████ | 10/11 [00:01<00:00, 5.06it/s] 100%|██████████| 11/11 [00:02<00:00, 5.10it/s] 100%|██████████| 11/11 [00:02<00:00, 5.06it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 5.01it/s] 18%|█▊ | 2/11 [00:00<00:01, 5.03it/s] 27%|██▋ | 3/11 [00:00<00:01, 5.03it/s] 36%|███▋ | 4/11 [00:00<00:01, 5.05it/s] 45%|████▌ | 5/11 [00:00<00:01, 5.06it/s] 55%|█████▍ | 6/11 [00:01<00:00, 5.07it/s] 64%|██████▎ | 7/11 [00:01<00:00, 5.05it/s] 73%|███████▎ | 8/11 [00:01<00:00, 5.03it/s] 82%|████████▏ | 9/11 [00:01<00:00, 5.05it/s] 91%|█████████ | 10/11 [00:01<00:00, 5.03it/s] 100%|██████████| 11/11 [00:02<00:00, 5.10it/s] 100%|██████████| 11/11 [00:02<00:00, 5.06it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.0ms Speed: 2.6ms preprocess, 7.0ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:02, 4.97it/s] 18%|█▊ | 2/11 [00:00<00:01, 5.02it/s] 27%|██▋ | 3/11 [00:00<00:01, 5.05it/s] 36%|███▋ | 4/11 [00:00<00:01, 5.02it/s] 45%|████▌ | 5/11 [00:00<00:01, 5.04it/s] 55%|█████▍ | 6/11 [00:01<00:00, 5.06it/s] 64%|██████▎ | 7/11 [00:01<00:00, 5.07it/s] 73%|███████▎ | 8/11 [00:01<00:00, 5.07it/s] 82%|████████▏ | 9/11 [00:01<00:00, 5.08it/s] 91%|█████████ | 10/11 [00:01<00:00, 5.09it/s] 100%|██████████| 11/11 [00:02<00:00, 5.12it/s] 100%|██████████| 11/11 [00:02<00:00, 5.07it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 3 hands, 7.2ms Speed: 2.6ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 5.08it/s] 18%|█▊ | 2/11 [00:00<00:01, 5.06it/s] 27%|██▋ | 3/11 [00:00<00:01, 5.08it/s] 36%|███▋ | 4/11 [00:00<00:01, 5.07it/s] 45%|████▌ | 5/11 [00:00<00:01, 5.07it/s] 55%|█████▍ | 6/11 [00:01<00:00, 5.05it/s] 64%|██████▎ | 7/11 [00:01<00:00, 5.06it/s] 73%|███████▎ | 8/11 [00:01<00:00, 5.08it/s] 82%|████████▏ | 9/11 [00:01<00:00, 5.09it/s] 91%|█████████ | 10/11 [00:01<00:00, 5.09it/s] 100%|██████████| 11/11 [00:02<00:00, 5.14it/s] 100%|██████████| 11/11 [00:02<00:00, 5.09it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:02, 4.96it/s] 18%|█▊ | 2/11 [00:00<00:01, 5.04it/s] 27%|██▋ | 3/11 [00:00<00:01, 5.05it/s] 36%|███▋ | 4/11 [00:00<00:01, 5.04it/s] 45%|████▌ | 5/11 [00:00<00:01, 5.07it/s] 55%|█████▍ | 6/11 [00:01<00:00, 5.07it/s] 64%|██████▎ | 7/11 [00:01<00:00, 5.06it/s] 73%|███████▎ | 8/11 [00:01<00:00, 5.06it/s] 82%|████████▏ | 9/11 [00:01<00:00, 5.06it/s] 91%|█████████ | 10/11 [00:01<00:00, 5.08it/s] 100%|██████████| 11/11 [00:02<00:00, 5.14it/s] 100%|██████████| 11/11 [00:02<00:00, 5.08it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 5.00it/s] 18%|█▊ | 2/11 [00:00<00:01, 5.04it/s] 27%|██▋ | 3/11 [00:00<00:01, 5.04it/s] 36%|███▋ | 4/11 [00:00<00:01, 5.04it/s] 45%|████▌ | 5/11 [00:00<00:01, 5.06it/s] 55%|█████▍ | 6/11 [00:01<00:00, 5.05it/s] 64%|██████▎ | 7/11 [00:01<00:00, 5.01it/s] 73%|███████▎ | 8/11 [00:01<00:00, 5.00it/s] 82%|████████▏ | 9/11 [00:01<00:00, 4.99it/s] 91%|█████████ | 10/11 [00:01<00:00, 4.97it/s] 100%|██████████| 11/11 [00:02<00:00, 4.98it/s] 100%|██████████| 11/11 [00:02<00:00, 5.01it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.1ms Speed: 2.6ms preprocess, 7.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 5.06it/s] 18%|█▊ | 2/11 [00:00<00:01, 5.02it/s] 27%|██▋ | 3/11 [00:00<00:01, 4.92it/s] 36%|███▋ | 4/11 [00:00<00:01, 4.86it/s] 45%|████▌ | 5/11 [00:01<00:01, 4.86it/s] 55%|█████▍ | 6/11 [00:01<00:01, 4.92it/s] 64%|██████▎ | 7/11 [00:01<00:00, 4.92it/s] 73%|███████▎ | 8/11 [00:01<00:00, 4.95it/s] 82%|████████▏ | 9/11 [00:01<00:00, 4.96it/s] 91%|█████████ | 10/11 [00:02<00:00, 4.96it/s] 100%|██████████| 11/11 [00:02<00:00, 5.00it/s] 100%|██████████| 11/11 [00:02<00:00, 4.95it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 6.9ms Speed: 2.6ms preprocess, 6.9ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 5.03it/s] 18%|█▊ | 2/11 [00:00<00:01, 5.03it/s] 27%|██▋ | 3/11 [00:00<00:01, 5.00it/s] 36%|███▋ | 4/11 [00:00<00:01, 4.96it/s] 45%|████▌ | 5/11 [00:01<00:01, 4.98it/s] 55%|█████▍ | 6/11 [00:01<00:01, 4.98it/s] 64%|██████▎ | 7/11 [00:01<00:00, 4.93it/s] 73%|███████▎ | 8/11 [00:01<00:00, 4.92it/s] 82%|████████▏ | 9/11 [00:01<00:00, 4.94it/s] 91%|█████████ | 10/11 [00:02<00:00, 4.95it/s] 100%|██████████| 11/11 [00:02<00:00, 5.02it/s] 100%|██████████| 11/11 [00:02<00:00, 4.98it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:02, 5.00it/s] 18%|█▊ | 2/11 [00:00<00:01, 5.03it/s] 27%|██▋ | 3/11 [00:00<00:01, 5.04it/s] 36%|███▋ | 4/11 [00:00<00:01, 5.04it/s] 45%|████▌ | 5/11 [00:00<00:01, 5.04it/s] 55%|█████▍ | 6/11 [00:01<00:00, 5.05it/s] 64%|██████▎ | 7/11 [00:01<00:00, 5.03it/s] 73%|███████▎ | 8/11 [00:01<00:00, 5.05it/s] 82%|████████▏ | 9/11 [00:01<00:00, 5.04it/s] 91%|█████████ | 10/11 [00:01<00:00, 5.05it/s] 100%|██████████| 11/11 [00:02<00:00, 5.10it/s] 100%|██████████| 11/11 [00:02<00:00, 5.06it/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%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 5.01it/s] 18%|█▊ | 2/11 [00:00<00:01, 5.02it/s] 27%|██▋ | 3/11 [00:00<00:01, 5.01it/s] 36%|███▋ | 4/11 [00:00<00:01, 5.02it/s] 45%|████▌ | 5/11 [00:00<00:01, 4.99it/s] 55%|█████▍ | 6/11 [00:01<00:01, 4.96it/s] 64%|██████▎ | 7/11 [00:01<00:00, 4.96it/s] 73%|███████▎ | 8/11 [00:01<00:00, 4.93it/s] 82%|████████▏ | 9/11 [00:01<00:00, 4.95it/s] 91%|█████████ | 10/11 [00:02<00:00, 4.94it/s] 100%|██████████| 11/11 [00:02<00:00, 4.96it/s] 100%|██████████| 11/11 [00:02<00:00, 4.97it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.0ms Speed: 2.7ms preprocess, 7.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:02, 4.99it/s] 18%|█▊ | 2/11 [00:00<00:01, 4.89it/s] 27%|██▋ | 3/11 [00:00<00:01, 4.91it/s] 36%|███▋ | 4/11 [00:00<00:01, 4.86it/s] 45%|████▌ | 5/11 [00:01<00:01, 4.86it/s] 55%|█████▍ | 6/11 [00:01<00:01, 4.88it/s] 64%|██████▎ | 7/11 [00:01<00:00, 4.90it/s] 73%|███████▎ | 8/11 [00:01<00:00, 4.93it/s] 82%|████████▏ | 9/11 [00:01<00:00, 4.94it/s] 91%|█████████ | 10/11 [00:02<00:00, 4.92it/s] 100%|██████████| 11/11 [00:02<00:00, 4.97it/s] 100%|██████████| 11/11 [00:02<00:00, 4.92it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:02, 4.94it/s] 18%|█▊ | 2/11 [00:00<00:01, 4.86it/s] 27%|██▋ | 3/11 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Finished.
prompt
Specify things to see in the output
The cute madness rabbit-girl is depicted in full height, standing on its hind legs, with a threatening expression on its face. her coat has a dark gray shade, which creates an atmosphere of mystery and danger. The killer rabbit-girl is dressed in a (black cloak stained with blood:1.3), which gives her mystery and inaccessibility. In her front paws he holds a weapon - a knife or a dagger, which is a symbol of his cruelty and ruthlessness. She is ready for action, her eyes are full of an ominous gleam, and his mustache is directed downwards, creating the effect of tension and readiness to attack. The background of the picture is dark and gloomy to emphasize the character of the character. the night sky with the moon and the dark forest, adding mystery and horror, <lora:add_detail:0.7>
negative_prompt
Specify things to not see in the output
easynegative, ng_deepnegative_v1_75t, (bad-hands-5:1.2), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, ((monochrome)), ((grayscale)) watermark, moles, large breast, big breast
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
0.4
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
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.
965879406
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
Euler a
samping_steps
Number of denoising steps
25
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>
add_detail.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)
easynegative.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-hands-5.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/e119622d60114111989229af6210af08/00000-965879406.webp
https://files.tungsten.run/uploads/0f44a48d794547489dda1b5c076040d8/00001-965879407.webp
https://files.tungsten.run/uploads/7be4357c63fe4e2a9dfba95283704694/00002-965879408.webp
https://files.tungsten.run/uploads/88f3995dc4eb4b29833430b0b6990868/00003-965879409.webp
Finished in 71.7 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: The cute madness rabbit-girl is depicted in full height, standing on its hind legs, with a threatening expression on its face. her coat has a dark gray shade, which creates an atmosphere of mystery and danger. The killer rabbit-girl is dressed in a (black cloak stained with blood:1.3), which gives her mystery and inaccessibility. In her front paws he holds a weapon - a knife or a dagger, which is a symbol of his cruelty and ruthlessness. She is ready for action, her eyes are full of an ominous gleam, and his mustache is directed downwards, creating the effect of tension and readiness to attack. The background of the picture is dark and gloomy to emphasize the character of the character. the night sky with the moon and the dark forest, adding mystery and horror Full negative prompt: easynegative, ng_deepnegative_v1_75t, (bad-hands-5:1.2), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, ((monochrome)), ((grayscale)) watermark, moles, large breast, big breast 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:00<00:16, 1.47it/s] 8%|▊ | 2/25 [00:01<00:15, 1.50it/s] 12%|█▏ | 3/25 [00:01<00:14, 1.53it/s] 16%|█▌ | 4/25 [00:02<00:13, 1.54it/s] 20%|██ | 5/25 [00:03<00:12, 1.55it/s] 24%|██▍ | 6/25 [00:03<00:12, 1.55it/s] 28%|██▊ | 7/25 [00:04<00:11, 1.54it/s] 32%|███▏ | 8/25 [00:05<00:10, 1.55it/s] 36%|███▌ | 9/25 [00:05<00:10, 1.54it/s] 40%|████ | 10/25 [00:06<00:09, 1.55it/s] 44%|████▍ | 11/25 [00:07<00:09, 1.55it/s] 48%|████▊ | 12/25 [00:07<00:08, 1.55it/s] 52%|█████▏ | 13/25 [00:08<00:07, 1.55it/s] 56%|█████▌ | 14/25 [00:09<00:07, 1.55it/s] 60%|██████ | 15/25 [00:09<00:06, 1.55it/s] 64%|██████▍ | 16/25 [00:10<00:05, 1.55it/s] 68%|██████▊ | 17/25 [00:10<00:05, 1.55it/s] 72%|███████▏ | 18/25 [00:11<00:04, 1.55it/s] 76%|███████▌ | 19/25 [00:12<00:03, 1.55it/s] 80%|████████ | 20/25 [00:12<00:03, 1.55it/s] 84%|████████▍ | 21/25 [00:13<00:02, 1.55it/s] 88%|████████▊ | 22/25 [00:14<00:01, 1.55it/s] 92%|█████████▏| 23/25 [00:14<00:01, 1.55it/s] 96%|█████████▌| 24/25 [00:15<00:00, 1.55it/s] 100%|██████████| 25/25 [00:16<00:00, 1.56it/s] 100%|██████████| 25/25 [00:16<00:00, 1.55it/s] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.02s 0: 640x640 2 faces, 7.7ms Speed: 3.0ms preprocess, 7.7ms inference, 31.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:03, 2.59it/s] 18%|█▊ | 2/11 [00:00<00:02, 3.65it/s] 27%|██▋ | 3/11 [00:00<00:01, 4.18it/s] 36%|███▋ | 4/11 [00:00<00:01, 4.48it/s] 45%|████▌ | 5/11 [00:01<00:01, 4.66it/s] 55%|█████▍ | 6/11 [00:01<00:01, 4.76it/s] 64%|██████▎ | 7/11 [00:01<00:00, 4.84it/s] 73%|███████▎ | 8/11 [00:01<00:00, 4.87it/s] 82%|████████▏ | 9/11 [00:01<00:00, 4.90it/s] 91%|█████████ | 10/11 [00:02<00:00, 4.91it/s] 100%|██████████| 11/11 [00:02<00:00, 4.97it/s] 100%|██████████| 11/11 [00:02<00:00, 4.62it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:02, 4.97it/s] 18%|█▊ | 2/11 [00:00<00:01, 5.01it/s] 27%|██▋ | 3/11 [00:00<00:01, 5.02it/s] 36%|███▋ | 4/11 [00:00<00:01, 4.90it/s] 45%|████▌ | 5/11 [00:01<00:01, 4.86it/s] 55%|█████▍ | 6/11 [00:01<00:01, 4.93it/s] 64%|██████▎ | 7/11 [00:01<00:00, 4.97it/s] 73%|███████▎ | 8/11 [00:01<00:00, 4.97it/s] 82%|████████▏ | 9/11 [00:01<00:00, 4.98it/s] 91%|█████████ | 10/11 [00:02<00:00, 4.99it/s] 100%|██████████| 11/11 [00:02<00:00, 5.03it/s] 100%|██████████| 11/11 [00:02<00:00, 4.98it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 4 hands, 6.8ms Speed: 2.7ms preprocess, 6.8ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 5.06it/s] 18%|█▊ | 2/11 [00:00<00:01, 5.06it/s] 27%|██▋ | 3/11 [00:00<00:01, 5.06it/s] 36%|███▋ | 4/11 [00:00<00:01, 5.05it/s] 45%|████▌ | 5/11 [00:00<00:01, 5.05it/s] 55%|█████▍ | 6/11 [00:01<00:00, 5.05it/s] 64%|██████▎ | 7/11 [00:01<00:00, 5.05it/s] 73%|███████▎ | 8/11 [00:01<00:00, 5.01it/s] 82%|████████▏ | 9/11 [00:01<00:00, 5.01it/s] 91%|█████████ | 10/11 [00:01<00:00, 5.02it/s] 100%|██████████| 11/11 [00:02<00:00, 5.08it/s] 100%|██████████| 11/11 [00:02<00:00, 5.05it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:02, 4.81it/s] 18%|█▊ | 2/11 [00:00<00:01, 4.91it/s] 27%|██▋ | 3/11 [00:00<00:01, 4.98it/s] 36%|███▋ | 4/11 [00:00<00:01, 4.97it/s] 45%|████▌ | 5/11 [00:01<00:01, 4.98it/s] 55%|█████▍ | 6/11 [00:01<00:01, 4.93it/s] 64%|██████▎ | 7/11 [00:01<00:00, 4.96it/s] 73%|███████▎ | 8/11 [00:01<00:00, 4.99it/s] 82%|████████▏ | 9/11 [00:01<00:00, 5.02it/s] 91%|█████████ | 10/11 [00:02<00:00, 5.02it/s] 100%|██████████| 11/11 [00:02<00:00, 5.08it/s] 100%|██████████| 11/11 [00:02<00:00, 5.00it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 5.00it/s] 18%|█▊ | 2/11 [00:00<00:01, 5.03it/s] 27%|██▋ | 3/11 [00:00<00:01, 5.00it/s] 36%|███▋ | 4/11 [00:00<00:01, 5.04it/s] 45%|████▌ | 5/11 [00:00<00:01, 5.06it/s] 55%|█████▍ | 6/11 [00:01<00:00, 5.06it/s] 64%|██████▎ | 7/11 [00:01<00:00, 5.06it/s] 73%|███████▎ | 8/11 [00:01<00:00, 5.05it/s] 82%|████████▏ | 9/11 [00:01<00:00, 5.06it/s] 91%|█████████ | 10/11 [00:01<00:00, 5.06it/s] 100%|██████████| 11/11 [00:02<00:00, 5.10it/s] 100%|██████████| 11/11 [00:02<00:00, 5.06it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 5.01it/s] 18%|█▊ | 2/11 [00:00<00:01, 5.03it/s] 27%|██▋ | 3/11 [00:00<00:01, 5.03it/s] 36%|███▋ | 4/11 [00:00<00:01, 5.05it/s] 45%|████▌ | 5/11 [00:00<00:01, 5.06it/s] 55%|█████▍ | 6/11 [00:01<00:00, 5.07it/s] 64%|██████▎ | 7/11 [00:01<00:00, 5.05it/s] 73%|███████▎ | 8/11 [00:01<00:00, 5.03it/s] 82%|████████▏ | 9/11 [00:01<00:00, 5.05it/s] 91%|█████████ | 10/11 [00:01<00:00, 5.03it/s] 100%|██████████| 11/11 [00:02<00:00, 5.10it/s] 100%|██████████| 11/11 [00:02<00:00, 5.06it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.0ms Speed: 2.6ms preprocess, 7.0ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:02, 4.97it/s] 18%|█▊ | 2/11 [00:00<00:01, 5.02it/s] 27%|██▋ | 3/11 [00:00<00:01, 5.05it/s] 36%|███▋ | 4/11 [00:00<00:01, 5.02it/s] 45%|████▌ | 5/11 [00:00<00:01, 5.04it/s] 55%|█████▍ | 6/11 [00:01<00:00, 5.06it/s] 64%|██████▎ | 7/11 [00:01<00:00, 5.07it/s] 73%|███████▎ | 8/11 [00:01<00:00, 5.07it/s] 82%|████████▏ | 9/11 [00:01<00:00, 5.08it/s] 91%|█████████ | 10/11 [00:01<00:00, 5.09it/s] 100%|██████████| 11/11 [00:02<00:00, 5.12it/s] 100%|██████████| 11/11 [00:02<00:00, 5.07it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 3 hands, 7.2ms Speed: 2.6ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 5.08it/s] 18%|█▊ | 2/11 [00:00<00:01, 5.06it/s] 27%|██▋ | 3/11 [00:00<00:01, 5.08it/s] 36%|███▋ | 4/11 [00:00<00:01, 5.07it/s] 45%|████▌ | 5/11 [00:00<00:01, 5.07it/s] 55%|█████▍ | 6/11 [00:01<00:00, 5.05it/s] 64%|██████▎ | 7/11 [00:01<00:00, 5.06it/s] 73%|███████▎ | 8/11 [00:01<00:00, 5.08it/s] 82%|████████▏ | 9/11 [00:01<00:00, 5.09it/s] 91%|█████████ | 10/11 [00:01<00:00, 5.09it/s] 100%|██████████| 11/11 [00:02<00:00, 5.14it/s] 100%|██████████| 11/11 [00:02<00:00, 5.09it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:02, 4.96it/s] 18%|█▊ | 2/11 [00:00<00:01, 5.04it/s] 27%|██▋ | 3/11 [00:00<00:01, 5.05it/s] 36%|███▋ | 4/11 [00:00<00:01, 5.04it/s] 45%|████▌ | 5/11 [00:00<00:01, 5.07it/s] 55%|█████▍ | 6/11 [00:01<00:00, 5.07it/s] 64%|██████▎ | 7/11 [00:01<00:00, 5.06it/s] 73%|███████▎ | 8/11 [00:01<00:00, 5.06it/s] 82%|████████▏ | 9/11 [00:01<00:00, 5.06it/s] 91%|█████████ | 10/11 [00:01<00:00, 5.08it/s] 100%|██████████| 11/11 [00:02<00:00, 5.14it/s] 100%|██████████| 11/11 [00:02<00:00, 5.08it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 5.00it/s] 18%|█▊ | 2/11 [00:00<00:01, 5.04it/s] 27%|██▋ | 3/11 [00:00<00:01, 5.04it/s] 36%|███▋ | 4/11 [00:00<00:01, 5.04it/s] 45%|████▌ | 5/11 [00:00<00:01, 5.06it/s] 55%|█████▍ | 6/11 [00:01<00:00, 5.05it/s] 64%|██████▎ | 7/11 [00:01<00:00, 5.01it/s] 73%|███████▎ | 8/11 [00:01<00:00, 5.00it/s] 82%|████████▏ | 9/11 [00:01<00:00, 4.99it/s] 91%|█████████ | 10/11 [00:01<00:00, 4.97it/s] 100%|██████████| 11/11 [00:02<00:00, 4.98it/s] 100%|██████████| 11/11 [00:02<00:00, 5.01it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.1ms Speed: 2.6ms preprocess, 7.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 5.06it/s] 18%|█▊ | 2/11 [00:00<00:01, 5.02it/s] 27%|██▋ | 3/11 [00:00<00:01, 4.92it/s] 36%|███▋ | 4/11 [00:00<00:01, 4.86it/s] 45%|████▌ | 5/11 [00:01<00:01, 4.86it/s] 55%|█████▍ | 6/11 [00:01<00:01, 4.92it/s] 64%|██████▎ | 7/11 [00:01<00:00, 4.92it/s] 73%|███████▎ | 8/11 [00:01<00:00, 4.95it/s] 82%|████████▏ | 9/11 [00:01<00:00, 4.96it/s] 91%|█████████ | 10/11 [00:02<00:00, 4.96it/s] 100%|██████████| 11/11 [00:02<00:00, 5.00it/s] 100%|██████████| 11/11 [00:02<00:00, 4.95it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 6.9ms Speed: 2.6ms preprocess, 6.9ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 5.03it/s] 18%|█▊ | 2/11 [00:00<00:01, 5.03it/s] 27%|██▋ | 3/11 [00:00<00:01, 5.00it/s] 36%|███▋ | 4/11 [00:00<00:01, 4.96it/s] 45%|████▌ | 5/11 [00:01<00:01, 4.98it/s] 55%|█████▍ | 6/11 [00:01<00:01, 4.98it/s] 64%|██████▎ | 7/11 [00:01<00:00, 4.93it/s] 73%|███████▎ | 8/11 [00:01<00:00, 4.92it/s] 82%|████████▏ | 9/11 [00:01<00:00, 4.94it/s] 91%|█████████ | 10/11 [00:02<00:00, 4.95it/s] 100%|██████████| 11/11 [00:02<00:00, 5.02it/s] 100%|██████████| 11/11 [00:02<00:00, 4.98it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:02, 5.00it/s] 18%|█▊ | 2/11 [00:00<00:01, 5.03it/s] 27%|██▋ | 3/11 [00:00<00:01, 5.04it/s] 36%|███▋ | 4/11 [00:00<00:01, 5.04it/s] 45%|████▌ | 5/11 [00:00<00:01, 5.04it/s] 55%|█████▍ | 6/11 [00:01<00:00, 5.05it/s] 64%|██████▎ | 7/11 [00:01<00:00, 5.03it/s] 73%|███████▎ | 8/11 [00:01<00:00, 5.05it/s] 82%|████████▏ | 9/11 [00:01<00:00, 5.04it/s] 91%|█████████ | 10/11 [00:01<00:00, 5.05it/s] 100%|██████████| 11/11 [00:02<00:00, 5.10it/s] 100%|██████████| 11/11 [00:02<00:00, 5.06it/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%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:01, 5.01it/s] 18%|█▊ | 2/11 [00:00<00:01, 5.02it/s] 27%|██▋ | 3/11 [00:00<00:01, 5.01it/s] 36%|███▋ | 4/11 [00:00<00:01, 5.02it/s] 45%|████▌ | 5/11 [00:00<00:01, 4.99it/s] 55%|█████▍ | 6/11 [00:01<00:01, 4.96it/s] 64%|██████▎ | 7/11 [00:01<00:00, 4.96it/s] 73%|███████▎ | 8/11 [00:01<00:00, 4.93it/s] 82%|████████▏ | 9/11 [00:01<00:00, 4.95it/s] 91%|█████████ | 10/11 [00:02<00:00, 4.94it/s] 100%|██████████| 11/11 [00:02<00:00, 4.96it/s] 100%|██████████| 11/11 [00:02<00:00, 4.97it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.0ms Speed: 2.7ms preprocess, 7.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:02, 4.99it/s] 18%|█▊ | 2/11 [00:00<00:01, 4.89it/s] 27%|██▋ | 3/11 [00:00<00:01, 4.91it/s] 36%|███▋ | 4/11 [00:00<00:01, 4.86it/s] 45%|████▌ | 5/11 [00:01<00:01, 4.86it/s] 55%|█████▍ | 6/11 [00:01<00:01, 4.88it/s] 64%|██████▎ | 7/11 [00:01<00:00, 4.90it/s] 73%|███████▎ | 8/11 [00:01<00:00, 4.93it/s] 82%|████████▏ | 9/11 [00:01<00:00, 4.94it/s] 91%|█████████ | 10/11 [00:02<00:00, 4.92it/s] 100%|██████████| 11/11 [00:02<00:00, 4.97it/s] 100%|██████████| 11/11 [00:02<00:00, 4.92it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:02, 4.94it/s] 18%|█▊ | 2/11 [00:00<00:01, 4.86it/s] 27%|██▋ | 3/11 [00:00<00:01, 4.90it/s] 36%|███▋ | 4/11 [00:00<00:01, 4.89it/s] 45%|████▌ | 5/11 [00:01<00:01, 4.84it/s] 55%|█████▍ | 6/11 [00:01<00:01, 4.84it/s] 64%|██████▎ | 7/11 [00:01<00:00, 4.86it/s] 73%|███████▎ | 8/11 [00:01<00:00, 4.89it/s] 82%|████████▏ | 9/11 [00:01<00:00, 4.90it/s] 91%|█████████ | 10/11 [00:02<00:00, 4.94it/s] 100%|██████████| 11/11 [00:02<00:00, 4.97it/s] 100%|██████████| 11/11 [00:02<00:00, 4.91it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Uploading outputs... Finished.