picx-real
picx-real
50 stars
Version: v1.0
Input
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
saturation
Adjust saturation
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
input_image
Base image that the output should be generated from. This is useful when you want to add some detail to input_image. For example, if prompt is "sunglasses" and input_image has a man, there is the man wearing sunglasses in the output.
input_image_redrawing_strength
How differ the output is from input_image. Used only when input_image is given.
reference_image
Image with which the output should share identity (e.g. face of a person or type of a dog)
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
Sign in to run this model for free!
Output
https://files.tungsten.run/uploads/e22d3296d5a64d47b4cf87a40d95cf11/00000-196002168.webp
https://files.tungsten.run/uploads/b74c639bd1164d40a8744f2646bb229c/00001-196002169.webp
https://files.tungsten.run/uploads/5c04b45224144d8a86d4f539724b6605/00002-196002170.webp
https://files.tungsten.run/uploads/7781e8f86dbb4fce8bdce6ed721a5f06/00003-196002171.webp
This example was created by evevalentine2017
Finished in 73.2 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors Full prompt: Ancient giant flying demon cat is terrorizing modern japan for the 10th time, <lora:add_brightness:0.5> Full negative prompt: (CyberRealistic_Negative-neg:0.8), mature, curvy, big tits, (deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime, mutated hands and fingers:1.4), (deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, disconnected limbs, mutation, mutated, ugly, amputation, ng_deepnegative_v1_75t, realisticvision-negative-embedding 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:01<00:41, 1.88s/it] 9%|▊ | 2/23 [00:03<00:37, 1.77s/it] 13%|█▎ | 3/23 [00:05<00:38, 1.93s/it] 17%|█▋ | 4/23 [00:07<00:38, 2.03s/it] 22%|██▏ | 5/23 [00:09<00:35, 1.99s/it] 26%|██▌ | 6/23 [00:11<00:32, 1.90s/it] 30%|███ | 7/23 [00:13<00:29, 1.85s/it] 35%|███▍ | 8/23 [00:15<00:27, 1.82s/it] 39%|███▉ | 9/23 [00:16<00:24, 1.78s/it] 43%|████▎ | 10/23 [00:18<00:22, 1.76s/it] 48%|████▊ | 11/23 [00:20<00:20, 1.73s/it] 52%|█████▏ | 12/23 [00:21<00:18, 1.72s/it] 57%|█████▋ | 13/23 [00:23<00:17, 1.72s/it] 61%|██████ | 14/23 [00:25<00:15, 1.67s/it] 65%|██████▌ | 15/23 [00:26<00:13, 1.70s/it] 70%|██████▉ | 16/23 [00:28<00:11, 1.65s/it] 74%|███████▍ | 17/23 [00:29<00:09, 1.63s/it] 78%|███████▊ | 18/23 [00:31<00:08, 1.62s/it] 83%|████████▎ | 19/23 [00:32<00:06, 1.56s/it] 87%|████████▋ | 20/23 [00:34<00:04, 1.45s/it] 91%|█████████▏| 21/23 [00:35<00:02, 1.47s/it] 96%|█████████▌| 22/23 [00:36<00:01, 1.25s/it] 100%|██████████| 23/23 [00:37<00:00, 1.05s/it] 100%|██████████| 23/23 [00:37<00:00, 1.61s/it] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.02s 0: 640x640 (no detections), 7.8ms Speed: 3.4ms preprocess, 7.8ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x640 1 hand, 7.4ms Speed: 2.8ms preprocess, 7.4ms inference, 3.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:06, 1.50it/s] 18%|█▊ | 2/11 [00:01<00:04, 1.85it/s] 27%|██▋ | 3/11 [00:01<00:04, 1.93it/s] 36%|███▋ | 4/11 [00:02<00:03, 2.05it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.14it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.21it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.27it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.40it/s] 82%|████████▏ | 9/11 [00:04<00:00, 2.35it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.73it/s] 100%|██████████| 11/11 [00:04<00:00, 3.15it/s] 100%|██████████| 11/11 [00:04<00:00, 2.40it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.3ms Speed: 2.6ms preprocess, 7.3ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x640 (no detections), 7.0ms Speed: 2.7ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 (no detections), 7.4ms Speed: 2.7ms preprocess, 7.4ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. 0: 640x640 (no detections), 7.1ms Speed: 3.2ms preprocess, 7.1ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 1 face, 7.2ms Speed: 2.6ms preprocess, 7.2ms inference, 11.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.12it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.24it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.16it/s] 36%|███▋ | 4/11 [00:01<00:03, 2.19it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.23it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.23it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.29it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.39it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.38it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.77it/s] 100%|██████████| 11/11 [00:04<00:00, 3.23it/s] 100%|██████████| 11/11 [00:04<00:00, 2.53it/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: 2.7ms preprocess, 7.2ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.11it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.23it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.12it/s] 36%|███▋ | 4/11 [00:01<00:03, 2.19it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.22it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.25it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.35it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.46it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.44it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.83it/s] 100%|██████████| 11/11 [00:04<00:00, 3.28it/s] 100%|██████████| 11/11 [00:04<00:00, 2.56it/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<00:04, 2.14it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.21it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.13it/s] 36%|███▋ | 4/11 [00:01<00:03, 2.15it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.20it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.21it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.31it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.47it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.43it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.82it/s] 100%|██████████| 11/11 [00:04<00:00, 3.24it/s] 100%|██████████| 11/11 [00:04<00:00, 2.54it/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<00:05, 1.98it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.06it/s] 27%|██▋ | 3/11 [00:01<00:04, 1.99it/s] 36%|███▋ | 4/11 [00:01<00:03, 2.06it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.12it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.15it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.18it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.34it/s] 82%|████████▏ | 9/11 [00:04<00:00, 2.30it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.67it/s] 100%|██████████| 11/11 [00:04<00:00, 3.09it/s] 100%|██████████| 11/11 [00:04<00:00, 2.41it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
saturation
Adjust saturation
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
input_image
Base image that the output should be generated from. This is useful when you want to add some detail to input_image. For example, if prompt is "sunglasses" and input_image has a man, there is the man wearing sunglasses in the output.
input_image_redrawing_strength
How differ the output is from input_image. Used only when input_image is given.
reference_image
Image with which the output should share identity (e.g. face of a person or type of a dog)
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
Sign in to run this model for free!
https://files.tungsten.run/uploads/e22d3296d5a64d47b4cf87a40d95cf11/00000-196002168.webp
https://files.tungsten.run/uploads/b74c639bd1164d40a8744f2646bb229c/00001-196002169.webp
https://files.tungsten.run/uploads/5c04b45224144d8a86d4f539724b6605/00002-196002170.webp
https://files.tungsten.run/uploads/7781e8f86dbb4fce8bdce6ed721a5f06/00003-196002171.webp
This example was created by evevalentine2017
Finished in 73.2 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors Full prompt: Ancient giant flying demon cat is terrorizing modern japan for the 10th time, <lora:add_brightness:0.5> Full negative prompt: (CyberRealistic_Negative-neg:0.8), mature, curvy, big tits, (deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime, mutated hands and fingers:1.4), (deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, disconnected limbs, mutation, mutated, ugly, amputation, ng_deepnegative_v1_75t, realisticvision-negative-embedding 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:01<00:41, 1.88s/it] 9%|▊ | 2/23 [00:03<00:37, 1.77s/it] 13%|█▎ | 3/23 [00:05<00:38, 1.93s/it] 17%|█▋ | 4/23 [00:07<00:38, 2.03s/it] 22%|██▏ | 5/23 [00:09<00:35, 1.99s/it] 26%|██▌ | 6/23 [00:11<00:32, 1.90s/it] 30%|███ | 7/23 [00:13<00:29, 1.85s/it] 35%|███▍ | 8/23 [00:15<00:27, 1.82s/it] 39%|███▉ | 9/23 [00:16<00:24, 1.78s/it] 43%|████▎ | 10/23 [00:18<00:22, 1.76s/it] 48%|████▊ | 11/23 [00:20<00:20, 1.73s/it] 52%|█████▏ | 12/23 [00:21<00:18, 1.72s/it] 57%|█████▋ | 13/23 [00:23<00:17, 1.72s/it] 61%|██████ | 14/23 [00:25<00:15, 1.67s/it] 65%|██████▌ | 15/23 [00:26<00:13, 1.70s/it] 70%|██████▉ | 16/23 [00:28<00:11, 1.65s/it] 74%|███████▍ | 17/23 [00:29<00:09, 1.63s/it] 78%|███████▊ | 18/23 [00:31<00:08, 1.62s/it] 83%|████████▎ | 19/23 [00:32<00:06, 1.56s/it] 87%|████████▋ | 20/23 [00:34<00:04, 1.45s/it] 91%|█████████▏| 21/23 [00:35<00:02, 1.47s/it] 96%|█████████▌| 22/23 [00:36<00:01, 1.25s/it] 100%|██████████| 23/23 [00:37<00:00, 1.05s/it] 100%|██████████| 23/23 [00:37<00:00, 1.61s/it] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.02s 0: 640x640 (no detections), 7.8ms Speed: 3.4ms preprocess, 7.8ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x640 1 hand, 7.4ms Speed: 2.8ms preprocess, 7.4ms inference, 3.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:06, 1.50it/s] 18%|█▊ | 2/11 [00:01<00:04, 1.85it/s] 27%|██▋ | 3/11 [00:01<00:04, 1.93it/s] 36%|███▋ | 4/11 [00:02<00:03, 2.05it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.14it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.21it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.27it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.40it/s] 82%|████████▏ | 9/11 [00:04<00:00, 2.35it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.73it/s] 100%|██████████| 11/11 [00:04<00:00, 3.15it/s] 100%|██████████| 11/11 [00:04<00:00, 2.40it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.3ms Speed: 2.6ms preprocess, 7.3ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x640 (no detections), 7.0ms Speed: 2.7ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 (no detections), 7.4ms Speed: 2.7ms preprocess, 7.4ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. 0: 640x640 (no detections), 7.1ms Speed: 3.2ms preprocess, 7.1ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 1 face, 7.2ms Speed: 2.6ms preprocess, 7.2ms inference, 11.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.12it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.24it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.16it/s] 36%|███▋ | 4/11 [00:01<00:03, 2.19it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.23it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.23it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.29it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.39it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.38it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.77it/s] 100%|██████████| 11/11 [00:04<00:00, 3.23it/s] 100%|██████████| 11/11 [00:04<00:00, 2.53it/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: 2.7ms preprocess, 7.2ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.11it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.23it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.12it/s] 36%|███▋ | 4/11 [00:01<00:03, 2.19it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.22it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.25it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.35it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.46it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.44it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.83it/s] 100%|██████████| 11/11 [00:04<00:00, 3.28it/s] 100%|██████████| 11/11 [00:04<00:00, 2.56it/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<00:04, 2.14it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.21it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.13it/s] 36%|███▋ | 4/11 [00:01<00:03, 2.15it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.20it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.21it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.31it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.47it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.43it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.82it/s] 100%|██████████| 11/11 [00:04<00:00, 3.24it/s] 100%|██████████| 11/11 [00:04<00:00, 2.54it/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<00:05, 1.98it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.06it/s] 27%|██▋ | 3/11 [00:01<00:04, 1.99it/s] 36%|███▋ | 4/11 [00:01<00:03, 2.06it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.12it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.15it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.18it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.34it/s] 82%|████████▏ | 9/11 [00:04<00:00, 2.30it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.67it/s] 100%|██████████| 11/11 [00:04<00:00, 3.09it/s] 100%|██████████| 11/11 [00:04<00:00, 2.41it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Uploading outputs... Finished.