tungsten-logo
Sign In
SanaeXL anime V1.0
SanaeXL anime V1.0

SanaeXL anime V1.0

5 stars
Version: v1.0
Input
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
Detailer
Detailer
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
input_image
Base image that the output should be generated from. This is useful when you want to add some detail to input_image. For example, if prompt is "sunglasses" and input_image has a man, there is the man wearing sunglasses in the output.
input_image_redrawing_strength
How differ the output is from input_image. Used only when input_image is given.
reference_image
Image with which the output should share identity (e.g. face of a person or type of a dog)
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
Sign in to run this model for free!
Output
https://files.tungsten.run/uploads/76781190aab44f749a2c985db6d4e29d/output-9863c8a1469b453fa85b92614e4d90dc-00000-1098297310.webp
https://files.tungsten.run/uploads/276d4e00a65e41a9a91a56f08fb5739b/output-f46463d60a1f429c9f2901819d3cd268-00001-1098297311.webp
https://files.tungsten.run/uploads/c1b67ff9da4346ac85fbe1e0277b6a63/output-721a31d563d54605ad3f6bc26958652f-00002-1098297312.webp
This example was created by zennerhenric
Finished in 226.0 seconds
Using seed 1098297310 Full prompt: 1girl, kita ikuyo, bocchi the rock!, matanonki, sho \(sho lwlw\), ask \(askzy\), wlop, (ningen mame:0.9), ciloranko, closed eyes, closed mouth, clothes pull, showering, solo, standing, medium hair, short sleeves, window, shirt pull, yellow shorts, full body, indoors, toothbrush, reflection, brushing teeth, sidelocks, shirt, yellow shirt, towel, t-shirt, holding, red hair, curtains, holding toothbrush, day, one side up, shorts, facing viewer, bare legs, bathroom, slippers, masterpiece, best quality, newest, absurdres, highres, sensitive, <lora:add-detail-xl:2.0> Full negative prompt: pussy,comic,bad anatomy,blurry,(worst quality:1.8),low quality,hands bad,face bad,(normal quality:1.3),bad hands,mutated hands and fingers,extra legs,extra arms,duplicate,cropped,jpeg,artifacts,blurry,multiple view,Reference sheet,long body,multiple breasts,mutated,bad anatomy,disfigured,bad proportions,bad feet,ugly,text font ui,missing limb,monochrome,bad anatomy,blurry,(worst quality:1.8),low quality,hands bad,face bad,(normal quality:1.3),bad hands,mutated hands and fingers,extra legs,extra arms,duplicate,cropped,jpeg,artifacts,blurry,multiple view,long body,multiple breasts,mutated,disfigured,bad proportions,duplicate,bad feet,ugly,missing limb, 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:03<01:29, 3.08s/it] 7%|▋ | 2/30 [00:04<01:04, 2.29s/it] 10%|█ | 3/30 [00:06<00:55, 2.04s/it] 13%|█▎ | 4/30 [00:08<00:50, 1.93s/it] 17%|█▋ | 5/30 [00:10<00:46, 1.88s/it] 20%|██ | 6/30 [00:12<00:46, 1.94s/it] 23%|██▎ | 7/30 [00:13<00:43, 1.90s/it] 27%|██▋ | 8/30 [00:15<00:40, 1.86s/it] 30%|███ | 9/30 [00:17<00:38, 1.84s/it] 33%|███▎ | 10/30 [00:19<00:36, 1.83s/it] 37%|███▋ | 11/30 [00:21<00:34, 1.82s/it] 40%|████ | 12/30 [00:22<00:32, 1.82s/it] 43%|████▎ | 13/30 [00:24<00:30, 1.81s/it] 47%|████▋ | 14/30 [00:26<00:28, 1.81s/it] 50%|█████ | 15/30 [00:28<00:27, 1.80s/it] 53%|█████▎ | 16/30 [00:30<00:25, 1.80s/it] 57%|█████▋ | 17/30 [00:31<00:23, 1.79s/it] 60%|██████ | 18/30 [00:33<00:21, 1.79s/it] 63%|██████▎ | 19/30 [00:35<00:19, 1.79s/it] 67%|██████▋ | 20/30 [00:37<00:17, 1.79s/it] 70%|███████ | 21/30 [00:39<00:16, 1.78s/it] 73%|███████▎ | 22/30 [00:40<00:14, 1.78s/it] 77%|███████▋ | 23/30 [00:42<00:12, 1.77s/it] 80%|████████ | 24/30 [00:44<00:10, 1.77s/it] 83%|████████▎ | 25/30 [00:46<00:08, 1.76s/it] 87%|████████▋ | 26/30 [00:47<00:07, 1.76s/it] 90%|█████████ | 27/30 [00:49<00:05, 1.76s/it] 93%|█████████▎| 28/30 [00:51<00:03, 1.76s/it] 97%|█████████▋| 29/30 [00:53<00:01, 1.75s/it] 100%|██████████| 30/30 [00:54<00:00, 1.74s/it] 100%|██████████| 30/30 [00:54<00:00, 1.83s/it] Decoding latents in cuda:0... done in 3.22s Move latents to cpu... done in 0.04s 0: 640x512 2 faces, 161.5ms Speed: 2.9ms preprocess, 161.5ms inference, 23.9ms postprocess per image at shape (1, 3, 640, 512) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:07, 1.31it/s] 18%|█▊ | 2/11 [00:01<00:06, 1.43it/s] 27%|██▋ | 3/11 [00:02<00:05, 1.44it/s] 36%|███▋ | 4/11 [00:02<00:04, 1.48it/s] 45%|████▌ | 5/11 [00:03<00:04, 1.49it/s] 55%|█████▍ | 6/11 [00:04<00:03, 1.50it/s] 64%|██████▎ | 7/11 [00:04<00:02, 1.51it/s] 73%|███████▎ | 8/11 [00:05<00:01, 1.52it/s] 82%|████████▏ | 9/11 [00:06<00:01, 1.33it/s] 91%|█████████ | 10/11 [00:06<00:00, 1.39it/s] 100%|██████████| 11/11 [00:07<00:00, 1.44it/s] 100%|██████████| 11/11 [00:07<00:00, 1.44it/s] Decoding latents in cuda:0... done in 1.06s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:06, 1.54it/s] 18%|█▊ | 2/11 [00:01<00:05, 1.54it/s] 27%|██▋ | 3/11 [00:01<00:05, 1.54it/s] 36%|███▋ | 4/11 [00:02<00:04, 1.55it/s] 45%|████▌ | 5/11 [00:03<00:03, 1.55it/s] 55%|█████▍ | 6/11 [00:03<00:03, 1.55it/s] 64%|██████▎ | 7/11 [00:04<00:02, 1.55it/s] 73%|███████▎ | 8/11 [00:05<00:01, 1.52it/s] 82%|████████▏ | 9/11 [00:05<00:01, 1.52it/s] 91%|█████████ | 10/11 [00:06<00:00, 1.53it/s] 100%|██████████| 11/11 [00:07<00:00, 1.54it/s] 100%|██████████| 11/11 [00:07<00:00, 1.54it/s] Decoding latents in cuda:0... done in 1.07s Move latents to cpu... done in 0.0s 0: 640x512 5 hands, 98.9ms Speed: 2.7ms preprocess, 98.9ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 512) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:06, 1.54it/s] 18%|█▊ | 2/11 [00:01<00:06, 1.49it/s] 27%|██▋ | 3/11 [00:01<00:05, 1.51it/s] 36%|███▋ | 4/11 [00:02<00:04, 1.52it/s] 45%|████▌ | 5/11 [00:03<00:03, 1.53it/s] 55%|█████▍ | 6/11 [00:03<00:03, 1.53it/s] 64%|██████▎ | 7/11 [00:04<00:02, 1.53it/s] 73%|███████▎ | 8/11 [00:05<00:01, 1.53it/s] 82%|████████▏ | 9/11 [00:06<00:01, 1.45it/s] 91%|█████████ | 10/11 [00:06<00:00, 1.46it/s] 100%|██████████| 11/11 [00:07<00:00, 1.49it/s] 100%|██████████| 11/11 [00:07<00:00, 1.50it/s] Decoding latents in cuda:0... done in 1.07s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:06, 1.52it/s] 18%|█▊ | 2/11 [00:01<00:05, 1.53it/s] 27%|██▋ | 3/11 [00:01<00:05, 1.50it/s] 36%|███▋ | 4/11 [00:02<00:04, 1.51it/s] 45%|████▌ | 5/11 [00:03<00:03, 1.52it/s] 55%|█████▍ | 6/11 [00:03<00:03, 1.52it/s] 64%|██████▎ | 7/11 [00:04<00:02, 1.52it/s] 73%|███████▎ | 8/11 [00:05<00:02, 1.49it/s] 82%|████████▏ | 9/11 [00:05<00:01, 1.49it/s] 91%|█████████ | 10/11 [00:06<00:00, 1.51it/s] 100%|██████████| 11/11 [00:07<00:00, 1.52it/s] 100%|██████████| 11/11 [00:07<00:00, 1.51it/s] Decoding latents in cuda:0... done in 1.08s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:06, 1.52it/s] 18%|█▊ | 2/11 [00:01<00:05, 1.51it/s] 27%|██▋ | 3/11 [00:01<00:05, 1.52it/s] 36%|███▋ | 4/11 [00:02<00:04, 1.53it/s] 45%|████▌ | 5/11 [00:03<00:03, 1.53it/s] 55%|█████▍ | 6/11 [00:03<00:03, 1.54it/s] 64%|██████▎ | 7/11 [00:04<00:02, 1.54it/s] 73%|███████▎ | 8/11 [00:05<00:01, 1.54it/s] 82%|████████▏ | 9/11 [00:05<00:01, 1.54it/s] 91%|█████████ | 10/11 [00:06<00:00, 1.52it/s] 100%|██████████| 11/11 [00:07<00:00, 1.50it/s] 100%|██████████| 11/11 [00:07<00:00, 1.52it/s] Decoding latents in cuda:0... done in 1.08s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:06, 1.52it/s] 18%|█▊ | 2/11 [00:01<00:05, 1.53it/s] 27%|██▋ | 3/11 [00:01<00:05, 1.52it/s] 36%|███▋ | 4/11 [00:02<00:04, 1.53it/s] 45%|████▌ | 5/11 [00:03<00:03, 1.54it/s] 55%|█████▍ | 6/11 [00:03<00:03, 1.55it/s] 64%|██████▎ | 7/11 [00:04<00:02, 1.50it/s] 73%|███████▎ | 8/11 [00:05<00:02, 1.50it/s] 82%|████████▏ | 9/11 [00:05<00:01, 1.51it/s] 91%|█████████ | 10/11 [00:06<00:00, 1.52it/s] 100%|██████████| 11/11 [00:07<00:00, 1.53it/s] 100%|██████████| 11/11 [00:07<00:00, 1.52it/s] Decoding latents in cuda:0... done in 1.08s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:06, 1.52it/s] 18%|█▊ | 2/11 [00:01<00:05, 1.53it/s] 27%|██▋ | 3/11 [00:01<00:05, 1.50it/s] 36%|███▋ | 4/11 [00:02<00:04, 1.51it/s] 45%|████▌ | 5/11 [00:03<00:03, 1.53it/s] 55%|█████▍ | 6/11 [00:03<00:03, 1.53it/s] 64%|██████▎ | 7/11 [00:04<00:02, 1.54it/s] 73%|███████▎ | 8/11 [00:05<00:01, 1.52it/s] 82%|████████▏ | 9/11 [00:05<00:01, 1.51it/s] 91%|█████████ | 10/11 [00:06<00:00, 1.52it/s] 100%|██████████| 11/11 [00:07<00:00, 1.53it/s] 100%|██████████| 11/11 [00:07<00:00, 1.52it/s] Decoding latents in cuda:0... done in 1.08s Move latents to cpu... done in 0.0s 0: 640x512 2 faces, 8.1ms Speed: 2.5ms preprocess, 8.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 512) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:06, 1.52it/s] 18%|█▊ | 2/11 [00:01<00:07, 1.22it/s] 27%|██▋ | 3/11 [00:02<00:05, 1.34it/s] 36%|███▋ | 4/11 [00:02<00:04, 1.40it/s] 45%|████▌ | 5/11 [00:03<00:04, 1.45it/s] 55%|█████▍ | 6/11 [00:04<00:03, 1.46it/s] 64%|██████▎ | 7/11 [00:04<00:02, 1.48it/s] 73%|███████▎ | 8/11 [00:05<00:02, 1.50it/s] 82%|████████▏ | 9/11 [00:06<00:01, 1.49it/s] 91%|█████████ | 10/11 [00:06<00:00, 1.48it/s] 100%|██████████| 11/11 [00:07<00:00, 1.50it/s] 100%|██████████| 11/11 [00:07<00:00, 1.46it/s] Decoding latents in cuda:0... done in 1.07s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:06, 1.44it/s] 18%|█▊ | 2/11 [00:01<00:06, 1.44it/s] 27%|██▋ | 3/11 [00:02<00:05, 1.48it/s] 36%|███▋ | 4/11 [00:02<00:04, 1.50it/s] 45%|████▌ | 5/11 [00:03<00:03, 1.51it/s] 55%|█████▍ | 6/11 [00:04<00:03, 1.52it/s] 64%|██████▎ | 7/11 [00:04<00:02, 1.52it/s] 73%|███████▎ | 8/11 [00:05<00:01, 1.52it/s] 82%|████████▏ | 9/11 [00:05<00:01, 1.53it/s] 91%|█████████ | 10/11 [00:06<00:00, 1.53it/s] 100%|██████████| 11/11 [00:07<00:00, 1.53it/s] 100%|██████████| 11/11 [00:07<00:00, 1.51it/s] Decoding latents in cuda:0... done in 1.08s Move latents to cpu... done in 0.0s 0: 640x512 4 hands, 7.7ms Speed: 2.6ms preprocess, 7.7ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 512) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:06, 1.53it/s] 18%|█▊ | 2/11 [00:01<00:05, 1.51it/s] 27%|██▋ | 3/11 [00:01<00:05, 1.52it/s] 36%|███▋ | 4/11 [00:02<00:04, 1.53it/s] 45%|████▌ | 5/11 [00:03<00:03, 1.53it/s] 55%|█████▍ | 6/11 [00:03<00:03, 1.50it/s] 64%|██████▎ | 7/11 [00:04<00:02, 1.51it/s] 73%|███████▎ | 8/11 [00:05<00:02, 1.45it/s] 82%|████████▏ | 9/11 [00:06<00:01, 1.47it/s] 91%|█████████ | 10/11 [00:06<00:00, 1.49it/s] 100%|██████████| 11/11 [00:07<00:00, 1.51it/s] 100%|██████████| 11/11 [00:07<00:00, 1.50it/s] Decoding latents in cuda:0... done in 1.08s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:06, 1.54it/s] 18%|█▊ | 2/11 [00:01<00:05, 1.55it/s] 27%|██▋ | 3/11 [00:01<00:05, 1.55it/s] 36%|███▋ | 4/11 [00:02<00:04, 1.55it/s] 45%|████▌ | 5/11 [00:03<00:03, 1.54it/s] 55%|█████▍ | 6/11 [00:03<00:03, 1.54it/s] 64%|██████▎ | 7/11 [00:04<00:02, 1.54it/s] 73%|███████▎ | 8/11 [00:05<00:01, 1.54it/s] 82%|████████▏ | 9/11 [00:05<00:01, 1.54it/s] 91%|█████████ | 10/11 [00:06<00:00, 1.54it/s] 100%|██████████| 11/11 [00:07<00:00, 1.53it/s] 100%|██████████| 11/11 [00:07<00:00, 1.54it/s] Decoding latents in cuda:0... done in 1.07s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:06, 1.53it/s] 18%|█▊ | 2/11 [00:01<00:05, 1.53it/s] 27%|██▋ | 3/11 [00:01<00:05, 1.52it/s] 36%|███▋ | 4/11 [00:02<00:04, 1.53it/s] 45%|████▌ | 5/11 [00:03<00:03, 1.53it/s] 55%|█████▍ | 6/11 [00:03<00:03, 1.53it/s] 64%|██████▎ | 7/11 [00:04<00:02, 1.53it/s] 73%|███████▎ | 8/11 [00:05<00:01, 1.53it/s] 82%|████████▏ | 9/11 [00:05<00:01, 1.53it/s] 91%|█████████ | 10/11 [00:06<00:00, 1.54it/s] 100%|██████████| 11/11 [00:07<00:00, 1.53it/s] 100%|██████████| 11/11 [00:07<00:00, 1.53it/s] Decoding latents in cuda:0... done in 1.07s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:06, 1.46it/s] 18%|█▊ | 2/11 [00:01<00:05, 1.52it/s] 27%|██▋ | 3/11 [00:01<00:05, 1.51it/s] 36%|███▋ | 4/11 [00:02<00:04, 1.49it/s] 45%|████▌ | 5/11 [00:03<00:04, 1.50it/s] 55%|█████▍ | 6/11 [00:03<00:03, 1.50it/s] 64%|██████▎ | 7/11 [00:04<00:02, 1.52it/s] 73%|███████▎ | 8/11 [00:05<00:01, 1.53it/s] 82%|████████▏ | 9/11 [00:05<00:01, 1.52it/s] 91%|█████████ | 10/11 [00:06<00:00, 1.53it/s] 100%|██████████| 11/11 [00:07<00:00, 1.52it/s] 100%|██████████| 11/11 [00:07<00:00, 1.51it/s] Decoding latents in cuda:0... done in 1.07s Move latents to cpu... done in 0.0s 0: 640x512 1 face, 8.7ms Speed: 2.6ms preprocess, 8.7ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 512) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:09, 1.01it/s] 18%|█▊ | 2/11 [00:01<00:07, 1.26it/s] 27%|██▋ | 3/11 [00:02<00:05, 1.37it/s] 36%|███▋ | 4/11 [00:02<00:04, 1.43it/s] 45%|████▌ | 5/11 [00:03<00:04, 1.46it/s] 55%|█████▍ | 6/11 [00:04<00:03, 1.48it/s] 64%|██████▎ | 7/11 [00:04<00:02, 1.47it/s] 73%|███████▎ | 8/11 [00:06<00:02, 1.24it/s] 82%|████████▏ | 9/11 [00:06<00:01, 1.32it/s] 91%|█████████ | 10/11 [00:07<00:00, 1.38it/s] 100%|██████████| 11/11 [00:08<00:00, 1.41it/s] 100%|██████████| 11/11 [00:08<00:00, 1.37it/s] Decoding latents in cuda:0... done in 1.07s Move latents to cpu... done in 0.0s 0: 640x512 2 hands, 8.1ms Speed: 2.7ms preprocess, 8.1ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 512) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:06, 1.50it/s] 18%|█▊ | 2/11 [00:01<00:06, 1.48it/s] 27%|██▋ | 3/11 [00:02<00:05, 1.47it/s] 36%|███▋ | 4/11 [00:02<00:04, 1.49it/s] 45%|████▌ | 5/11 [00:03<00:03, 1.51it/s] 55%|█████▍ | 6/11 [00:04<00:03, 1.51it/s] 64%|██████▎ | 7/11 [00:04<00:02, 1.52it/s] 73%|███████▎ | 8/11 [00:05<00:01, 1.52it/s] 82%|████████▏ | 9/11 [00:05<00:01, 1.52it/s] 91%|█████████ | 10/11 [00:06<00:00, 1.52it/s] 100%|██████████| 11/11 [00:07<00:00, 1.53it/s] 100%|██████████| 11/11 [00:07<00:00, 1.51it/s] Decoding latents in cuda:0... done in 1.08s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:07, 1.39it/s] 18%|█▊ | 2/11 [00:01<00:06, 1.38it/s] 27%|██▋ | 3/11 [00:02<00:05, 1.43it/s] 36%|███▋ | 4/11 [00:02<00:04, 1.44it/s] 45%|████▌ | 5/11 [00:03<00:04, 1.46it/s] 55%|█████▍ | 6/11 [00:04<00:03, 1.47it/s] 64%|██████▎ | 7/11 [00:04<00:02, 1.48it/s] 73%|███████▎ | 8/11 [00:05<00:02, 1.49it/s] 82%|████████▏ | 9/11 [00:06<00:01, 1.51it/s] 91%|█████████ | 10/11 [00:06<00:00, 1.51it/s] 100%|██████████| 11/11 [00:07<00:00, 1.48it/s] 100%|██████████| 11/11 [00:07<00:00, 1.47it/s] Decoding latents in cuda:0... done in 1.07s Move latents to cpu... done in 0.0s Uploading files.. Finished.
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
Detailer
Detailer
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
input_image
Base image that the output should be generated from. This is useful when you want to add some detail to input_image. For example, if prompt is "sunglasses" and input_image has a man, there is the man wearing sunglasses in the output.
input_image_redrawing_strength
How differ the output is from input_image. Used only when input_image is given.
reference_image
Image with which the output should share identity (e.g. face of a person or type of a dog)
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
Sign in to run this model for free!
https://files.tungsten.run/uploads/76781190aab44f749a2c985db6d4e29d/output-9863c8a1469b453fa85b92614e4d90dc-00000-1098297310.webp
https://files.tungsten.run/uploads/276d4e00a65e41a9a91a56f08fb5739b/output-f46463d60a1f429c9f2901819d3cd268-00001-1098297311.webp
https://files.tungsten.run/uploads/c1b67ff9da4346ac85fbe1e0277b6a63/output-721a31d563d54605ad3f6bc26958652f-00002-1098297312.webp
This example was created by zennerhenric
Finished in 226.0 seconds
Using seed 1098297310 Full prompt: 1girl, kita ikuyo, bocchi the rock!, matanonki, sho \(sho lwlw\), ask \(askzy\), wlop, (ningen mame:0.9), ciloranko, closed eyes, closed mouth, clothes pull, showering, solo, standing, medium hair, short sleeves, window, shirt pull, yellow shorts, full body, indoors, toothbrush, reflection, brushing teeth, sidelocks, shirt, yellow shirt, towel, t-shirt, holding, red hair, curtains, holding toothbrush, day, one side up, shorts, facing viewer, bare legs, bathroom, slippers, masterpiece, best quality, newest, absurdres, highres, sensitive, <lora:add-detail-xl:2.0> Full negative prompt: pussy,comic,bad anatomy,blurry,(worst quality:1.8),low quality,hands bad,face bad,(normal quality:1.3),bad hands,mutated hands and fingers,extra legs,extra arms,duplicate,cropped,jpeg,artifacts,blurry,multiple view,Reference sheet,long body,multiple breasts,mutated,bad anatomy,disfigured,bad proportions,bad feet,ugly,text font ui,missing limb,monochrome,bad anatomy,blurry,(worst quality:1.8),low quality,hands bad,face bad,(normal quality:1.3),bad hands,mutated hands and fingers,extra legs,extra arms,duplicate,cropped,jpeg,artifacts,blurry,multiple view,long body,multiple breasts,mutated,disfigured,bad proportions,duplicate,bad feet,ugly,missing limb, 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:03<01:29, 3.08s/it] 7%|▋ | 2/30 [00:04<01:04, 2.29s/it] 10%|█ | 3/30 [00:06<00:55, 2.04s/it] 13%|█▎ | 4/30 [00:08<00:50, 1.93s/it] 17%|█▋ | 5/30 [00:10<00:46, 1.88s/it] 20%|██ | 6/30 [00:12<00:46, 1.94s/it] 23%|██▎ | 7/30 [00:13<00:43, 1.90s/it] 27%|██▋ | 8/30 [00:15<00:40, 1.86s/it] 30%|███ | 9/30 [00:17<00:38, 1.84s/it] 33%|███▎ | 10/30 [00:19<00:36, 1.83s/it] 37%|███▋ | 11/30 [00:21<00:34, 1.82s/it] 40%|████ | 12/30 [00:22<00:32, 1.82s/it] 43%|████▎ | 13/30 [00:24<00:30, 1.81s/it] 47%|████▋ | 14/30 [00:26<00:28, 1.81s/it] 50%|█████ | 15/30 [00:28<00:27, 1.80s/it] 53%|█████▎ | 16/30 [00:30<00:25, 1.80s/it] 57%|█████▋ | 17/30 [00:31<00:23, 1.79s/it] 60%|██████ | 18/30 [00:33<00:21, 1.79s/it] 63%|██████▎ | 19/30 [00:35<00:19, 1.79s/it] 67%|██████▋ | 20/30 [00:37<00:17, 1.79s/it] 70%|███████ | 21/30 [00:39<00:16, 1.78s/it] 73%|███████▎ | 22/30 [00:40<00:14, 1.78s/it] 77%|███████▋ | 23/30 [00:42<00:12, 1.77s/it] 80%|████████ | 24/30 [00:44<00:10, 1.77s/it] 83%|████████▎ | 25/30 [00:46<00:08, 1.76s/it] 87%|████████▋ | 26/30 [00:47<00:07, 1.76s/it] 90%|█████████ | 27/30 [00:49<00:05, 1.76s/it] 93%|█████████▎| 28/30 [00:51<00:03, 1.76s/it] 97%|█████████▋| 29/30 [00:53<00:01, 1.75s/it] 100%|██████████| 30/30 [00:54<00:00, 1.74s/it] 100%|██████████| 30/30 [00:54<00:00, 1.83s/it] Decoding latents in cuda:0... done in 3.22s Move latents to cpu... done in 0.04s 0: 640x512 2 faces, 161.5ms Speed: 2.9ms preprocess, 161.5ms inference, 23.9ms postprocess per image at shape (1, 3, 640, 512) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:07, 1.31it/s] 18%|█▊ | 2/11 [00:01<00:06, 1.43it/s] 27%|██▋ | 3/11 [00:02<00:05, 1.44it/s] 36%|███▋ | 4/11 [00:02<00:04, 1.48it/s] 45%|████▌ | 5/11 [00:03<00:04, 1.49it/s] 55%|█████▍ | 6/11 [00:04<00:03, 1.50it/s] 64%|██████▎ | 7/11 [00:04<00:02, 1.51it/s] 73%|███████▎ | 8/11 [00:05<00:01, 1.52it/s] 82%|████████▏ | 9/11 [00:06<00:01, 1.33it/s] 91%|█████████ | 10/11 [00:06<00:00, 1.39it/s] 100%|██████████| 11/11 [00:07<00:00, 1.44it/s] 100%|██████████| 11/11 [00:07<00:00, 1.44it/s] Decoding latents in cuda:0... done in 1.06s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:06, 1.54it/s] 18%|█▊ | 2/11 [00:01<00:05, 1.54it/s] 27%|██▋ | 3/11 [00:01<00:05, 1.54it/s] 36%|███▋ | 4/11 [00:02<00:04, 1.55it/s] 45%|████▌ | 5/11 [00:03<00:03, 1.55it/s] 55%|█████▍ | 6/11 [00:03<00:03, 1.55it/s] 64%|██████▎ | 7/11 [00:04<00:02, 1.55it/s] 73%|███████▎ | 8/11 [00:05<00:01, 1.52it/s] 82%|████████▏ | 9/11 [00:05<00:01, 1.52it/s] 91%|█████████ | 10/11 [00:06<00:00, 1.53it/s] 100%|██████████| 11/11 [00:07<00:00, 1.54it/s] 100%|██████████| 11/11 [00:07<00:00, 1.54it/s] Decoding latents in cuda:0... done in 1.07s Move latents to cpu... done in 0.0s 0: 640x512 5 hands, 98.9ms Speed: 2.7ms preprocess, 98.9ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 512) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:06, 1.54it/s] 18%|█▊ | 2/11 [00:01<00:06, 1.49it/s] 27%|██▋ | 3/11 [00:01<00:05, 1.51it/s] 36%|███▋ | 4/11 [00:02<00:04, 1.52it/s] 45%|████▌ | 5/11 [00:03<00:03, 1.53it/s] 55%|█████▍ | 6/11 [00:03<00:03, 1.53it/s] 64%|██████▎ | 7/11 [00:04<00:02, 1.53it/s] 73%|███████▎ | 8/11 [00:05<00:01, 1.53it/s] 82%|████████▏ | 9/11 [00:06<00:01, 1.45it/s] 91%|█████████ | 10/11 [00:06<00:00, 1.46it/s] 100%|██████████| 11/11 [00:07<00:00, 1.49it/s] 100%|██████████| 11/11 [00:07<00:00, 1.50it/s] Decoding latents in cuda:0... done in 1.07s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:06, 1.52it/s] 18%|█▊ | 2/11 [00:01<00:05, 1.53it/s] 27%|██▋ | 3/11 [00:01<00:05, 1.50it/s] 36%|███▋ | 4/11 [00:02<00:04, 1.51it/s] 45%|████▌ | 5/11 [00:03<00:03, 1.52it/s] 55%|█████▍ | 6/11 [00:03<00:03, 1.52it/s] 64%|██████▎ | 7/11 [00:04<00:02, 1.52it/s] 73%|███████▎ | 8/11 [00:05<00:02, 1.49it/s] 82%|████████▏ | 9/11 [00:05<00:01, 1.49it/s] 91%|█████████ | 10/11 [00:06<00:00, 1.51it/s] 100%|██████████| 11/11 [00:07<00:00, 1.52it/s] 100%|██████████| 11/11 [00:07<00:00, 1.51it/s] Decoding latents in cuda:0... done in 1.08s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:06, 1.52it/s] 18%|█▊ | 2/11 [00:01<00:05, 1.51it/s] 27%|██▋ | 3/11 [00:01<00:05, 1.52it/s] 36%|███▋ | 4/11 [00:02<00:04, 1.53it/s] 45%|████▌ | 5/11 [00:03<00:03, 1.53it/s] 55%|█████▍ | 6/11 [00:03<00:03, 1.54it/s] 64%|██████▎ | 7/11 [00:04<00:02, 1.54it/s] 73%|███████▎ | 8/11 [00:05<00:01, 1.54it/s] 82%|████████▏ | 9/11 [00:05<00:01, 1.54it/s] 91%|█████████ | 10/11 [00:06<00:00, 1.52it/s] 100%|██████████| 11/11 [00:07<00:00, 1.50it/s] 100%|██████████| 11/11 [00:07<00:00, 1.52it/s] Decoding latents in cuda:0... done in 1.08s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:06, 1.52it/s] 18%|█▊ | 2/11 [00:01<00:05, 1.53it/s] 27%|██▋ | 3/11 [00:01<00:05, 1.52it/s] 36%|███▋ | 4/11 [00:02<00:04, 1.53it/s] 45%|████▌ | 5/11 [00:03<00:03, 1.54it/s] 55%|█████▍ | 6/11 [00:03<00:03, 1.55it/s] 64%|██████▎ | 7/11 [00:04<00:02, 1.50it/s] 73%|███████▎ | 8/11 [00:05<00:02, 1.50it/s] 82%|████████▏ | 9/11 [00:05<00:01, 1.51it/s] 91%|█████████ | 10/11 [00:06<00:00, 1.52it/s] 100%|██████████| 11/11 [00:07<00:00, 1.53it/s] 100%|██████████| 11/11 [00:07<00:00, 1.52it/s] Decoding latents in cuda:0... done in 1.08s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:06, 1.52it/s] 18%|█▊ | 2/11 [00:01<00:05, 1.53it/s] 27%|██▋ | 3/11 [00:01<00:05, 1.50it/s] 36%|███▋ | 4/11 [00:02<00:04, 1.51it/s] 45%|████▌ | 5/11 [00:03<00:03, 1.53it/s] 55%|█████▍ | 6/11 [00:03<00:03, 1.53it/s] 64%|██████▎ | 7/11 [00:04<00:02, 1.54it/s] 73%|███████▎ | 8/11 [00:05<00:01, 1.52it/s] 82%|████████▏ | 9/11 [00:05<00:01, 1.51it/s] 91%|█████████ | 10/11 [00:06<00:00, 1.52it/s] 100%|██████████| 11/11 [00:07<00:00, 1.53it/s] 100%|██████████| 11/11 [00:07<00:00, 1.52it/s] Decoding latents in cuda:0... done in 1.08s Move latents to cpu... done in 0.0s 0: 640x512 2 faces, 8.1ms Speed: 2.5ms preprocess, 8.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 512) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:06, 1.52it/s] 18%|█▊ | 2/11 [00:01<00:07, 1.22it/s] 27%|██▋ | 3/11 [00:02<00:05, 1.34it/s] 36%|███▋ | 4/11 [00:02<00:04, 1.40it/s] 45%|████▌ | 5/11 [00:03<00:04, 1.45it/s] 55%|█████▍ | 6/11 [00:04<00:03, 1.46it/s] 64%|██████▎ | 7/11 [00:04<00:02, 1.48it/s] 73%|███████▎ | 8/11 [00:05<00:02, 1.50it/s] 82%|████████▏ | 9/11 [00:06<00:01, 1.49it/s] 91%|█████████ | 10/11 [00:06<00:00, 1.48it/s] 100%|██████████| 11/11 [00:07<00:00, 1.50it/s] 100%|██████████| 11/11 [00:07<00:00, 1.46it/s] Decoding latents in cuda:0... done in 1.07s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:06, 1.44it/s] 18%|█▊ | 2/11 [00:01<00:06, 1.44it/s] 27%|██▋ | 3/11 [00:02<00:05, 1.48it/s] 36%|███▋ | 4/11 [00:02<00:04, 1.50it/s] 45%|████▌ | 5/11 [00:03<00:03, 1.51it/s] 55%|█████▍ | 6/11 [00:04<00:03, 1.52it/s] 64%|██████▎ | 7/11 [00:04<00:02, 1.52it/s] 73%|███████▎ | 8/11 [00:05<00:01, 1.52it/s] 82%|████████▏ | 9/11 [00:05<00:01, 1.53it/s] 91%|█████████ | 10/11 [00:06<00:00, 1.53it/s] 100%|██████████| 11/11 [00:07<00:00, 1.53it/s] 100%|██████████| 11/11 [00:07<00:00, 1.51it/s] Decoding latents in cuda:0... done in 1.08s Move latents to cpu... done in 0.0s 0: 640x512 4 hands, 7.7ms Speed: 2.6ms preprocess, 7.7ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 512) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:06, 1.53it/s] 18%|█▊ | 2/11 [00:01<00:05, 1.51it/s] 27%|██▋ | 3/11 [00:01<00:05, 1.52it/s] 36%|███▋ | 4/11 [00:02<00:04, 1.53it/s] 45%|████▌ | 5/11 [00:03<00:03, 1.53it/s] 55%|█████▍ | 6/11 [00:03<00:03, 1.50it/s] 64%|██████▎ | 7/11 [00:04<00:02, 1.51it/s] 73%|███████▎ | 8/11 [00:05<00:02, 1.45it/s] 82%|████████▏ | 9/11 [00:06<00:01, 1.47it/s] 91%|█████████ | 10/11 [00:06<00:00, 1.49it/s] 100%|██████████| 11/11 [00:07<00:00, 1.51it/s] 100%|██████████| 11/11 [00:07<00:00, 1.50it/s] Decoding latents in cuda:0... done in 1.08s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:06, 1.54it/s] 18%|█▊ | 2/11 [00:01<00:05, 1.55it/s] 27%|██▋ | 3/11 [00:01<00:05, 1.55it/s] 36%|███▋ | 4/11 [00:02<00:04, 1.55it/s] 45%|████▌ | 5/11 [00:03<00:03, 1.54it/s] 55%|█████▍ | 6/11 [00:03<00:03, 1.54it/s] 64%|██████▎ | 7/11 [00:04<00:02, 1.54it/s] 73%|███████▎ | 8/11 [00:05<00:01, 1.54it/s] 82%|████████▏ | 9/11 [00:05<00:01, 1.54it/s] 91%|█████████ | 10/11 [00:06<00:00, 1.54it/s] 100%|██████████| 11/11 [00:07<00:00, 1.53it/s] 100%|██████████| 11/11 [00:07<00:00, 1.54it/s] Decoding latents in cuda:0... done in 1.07s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:06, 1.53it/s] 18%|█▊ | 2/11 [00:01<00:05, 1.53it/s] 27%|██▋ | 3/11 [00:01<00:05, 1.52it/s] 36%|███▋ | 4/11 [00:02<00:04, 1.53it/s] 45%|████▌ | 5/11 [00:03<00:03, 1.53it/s] 55%|█████▍ | 6/11 [00:03<00:03, 1.53it/s] 64%|██████▎ | 7/11 [00:04<00:02, 1.53it/s] 73%|███████▎ | 8/11 [00:05<00:01, 1.53it/s] 82%|████████▏ | 9/11 [00:05<00:01, 1.53it/s] 91%|█████████ | 10/11 [00:06<00:00, 1.54it/s] 100%|██████████| 11/11 [00:07<00:00, 1.53it/s] 100%|██████████| 11/11 [00:07<00:00, 1.53it/s] Decoding latents in cuda:0... done in 1.07s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:06, 1.46it/s] 18%|█▊ | 2/11 [00:01<00:05, 1.52it/s] 27%|██▋ | 3/11 [00:01<00:05, 1.51it/s] 36%|███▋ | 4/11 [00:02<00:04, 1.49it/s] 45%|████▌ | 5/11 [00:03<00:04, 1.50it/s] 55%|█████▍ | 6/11 [00:03<00:03, 1.50it/s] 64%|██████▎ | 7/11 [00:04<00:02, 1.52it/s] 73%|███████▎ | 8/11 [00:05<00:01, 1.53it/s] 82%|████████▏ | 9/11 [00:05<00:01, 1.52it/s] 91%|█████████ | 10/11 [00:06<00:00, 1.53it/s] 100%|██████████| 11/11 [00:07<00:00, 1.52it/s] 100%|██████████| 11/11 [00:07<00:00, 1.51it/s] Decoding latents in cuda:0... done in 1.07s Move latents to cpu... done in 0.0s 0: 640x512 1 face, 8.7ms Speed: 2.6ms preprocess, 8.7ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 512) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:09, 1.01it/s] 18%|█▊ | 2/11 [00:01<00:07, 1.26it/s] 27%|██▋ | 3/11 [00:02<00:05, 1.37it/s] 36%|███▋ | 4/11 [00:02<00:04, 1.43it/s] 45%|████▌ | 5/11 [00:03<00:04, 1.46it/s] 55%|█████▍ | 6/11 [00:04<00:03, 1.48it/s] 64%|██████▎ | 7/11 [00:04<00:02, 1.47it/s] 73%|███████▎ | 8/11 [00:06<00:02, 1.24it/s] 82%|████████▏ | 9/11 [00:06<00:01, 1.32it/s] 91%|█████████ | 10/11 [00:07<00:00, 1.38it/s] 100%|██████████| 11/11 [00:08<00:00, 1.41it/s] 100%|██████████| 11/11 [00:08<00:00, 1.37it/s] Decoding latents in cuda:0... done in 1.07s Move latents to cpu... done in 0.0s 0: 640x512 2 hands, 8.1ms Speed: 2.7ms preprocess, 8.1ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 512) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:06, 1.50it/s] 18%|█▊ | 2/11 [00:01<00:06, 1.48it/s] 27%|██▋ | 3/11 [00:02<00:05, 1.47it/s] 36%|███▋ | 4/11 [00:02<00:04, 1.49it/s] 45%|████▌ | 5/11 [00:03<00:03, 1.51it/s] 55%|█████▍ | 6/11 [00:04<00:03, 1.51it/s] 64%|██████▎ | 7/11 [00:04<00:02, 1.52it/s] 73%|███████▎ | 8/11 [00:05<00:01, 1.52it/s] 82%|████████▏ | 9/11 [00:05<00:01, 1.52it/s] 91%|█████████ | 10/11 [00:06<00:00, 1.52it/s] 100%|██████████| 11/11 [00:07<00:00, 1.53it/s] 100%|██████████| 11/11 [00:07<00:00, 1.51it/s] Decoding latents in cuda:0... done in 1.08s Move latents to cpu... done in 0.0s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:07, 1.39it/s] 18%|█▊ | 2/11 [00:01<00:06, 1.38it/s] 27%|██▋ | 3/11 [00:02<00:05, 1.43it/s] 36%|███▋ | 4/11 [00:02<00:04, 1.44it/s] 45%|████▌ | 5/11 [00:03<00:04, 1.46it/s] 55%|█████▍ | 6/11 [00:04<00:03, 1.47it/s] 64%|██████▎ | 7/11 [00:04<00:02, 1.48it/s] 73%|███████▎ | 8/11 [00:05<00:02, 1.49it/s] 82%|████████▏ | 9/11 [00:06<00:01, 1.51it/s] 91%|█████████ | 10/11 [00:06<00:00, 1.51it/s] 100%|██████████| 11/11 [00:07<00:00, 1.48it/s] 100%|██████████| 11/11 [00:07<00:00, 1.47it/s] Decoding latents in cuda:0... done in 1.07s Move latents to cpu... done in 0.0s Uploading files.. Finished.