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Chef Skeletons with Picx Real
picx-real:v1.0
evevalentine2017
evevalentine2017
·
Jan 11
352
Input
prompt
Specify things to see in the output
Chef Skeleton is cooking stew in a dark basement, ((chef hat:1.5)), no humans, <lora:RPGSkeleton:1>
negative_prompt
Specify things to not see in the output
(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
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
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0.5
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.
196002168
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++ 3M SDE Exponential
samping_steps
Number of denoising steps
23
cfg_scale
Scale for classifier-free guidance
4
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
vae-ft-mse-840000-ema-pruned_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
racial-chang-slider.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
more_details.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
RPGSkeleton.safetensors
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
CyberRealistic_Negative-neg.pt
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)
realisticvision-negative-embedding.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/043a910f06464902838db8c5f16a4511/00000-196002168.webp
https://files.tungsten.run/uploads/1cc89a6c759a42bdb6172c6c8a4181f0/00001-196002169.webp
https://files.tungsten.run/uploads/a556eca0d98c458a9ec413a3846b4aa3/00002-196002170.webp
https://files.tungsten.run/uploads/a10800497d1d484f950dd265437ffb7c/00003-196002171.webp
Finished in 96.5 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors Full prompt: Chef Skeleton is cooking stew in a dark basement, ((chef hat:1.5)), no humans, <lora:RPGSkeleton:1>, <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<00:42, 1.92s/it] 9%|▊ | 2/23 [00:03<00:38, 1.81s/it] 13%|█▎ | 3/23 [00:05<00:36, 1.85s/it] 17%|█▋ | 4/23 [00:07<00:35, 1.87s/it] 22%|██▏ | 5/23 [00:09<00:33, 1.85s/it] 26%|██▌ | 6/23 [00:10<00:30, 1.80s/it] 30%|███ | 7/23 [00:12<00:28, 1.78s/it] 35%|███▍ | 8/23 [00:14<00:26, 1.77s/it] 39%|███▉ | 9/23 [00:16<00:24, 1.76s/it] 43%|████▎ | 10/23 [00:17<00:22, 1.76s/it] 48%|████▊ | 11/23 [00:19<00:20, 1.72s/it] 52%|█████▏ | 12/23 [00:21<00:18, 1.72s/it] 57%|█████▋ | 13/23 [00:23<00:17, 1.77s/it] 61%|██████ | 14/23 [00:24<00:15, 1.70s/it] 65%|██████▌ | 15/23 [00:26<00:13, 1.73s/it] 70%|██████▉ | 16/23 [00:28<00:11, 1.67s/it] 74%|███████▍ | 17/23 [00:29<00:09, 1.67s/it] 78%|███████▊ | 18/23 [00:31<00:08, 1.65s/it] 83%|████████▎ | 19/23 [00:32<00:06, 1.58s/it] 87%|████████▋ | 20/23 [00:33<00:04, 1.47s/it] 91%|█████████▏| 21/23 [00:35<00:03, 1.53s/it] 96%|█████████▌| 22/23 [00:36<00:01, 1.30s/it] 100%|██████████| 23/23 [00:36<00:00, 1.10s/it] 100%|██████████| 23/23 [00:36<00:00, 1.61s/it] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.01s 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.00it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.06it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.02it/s] 36%|███▋ | 4/11 [00:01<00:03, 2.12it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.18it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.23it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.34it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.49it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.47it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.87it/s] 100%|██████████| 11/11 [00:04<00:00, 3.12it/s] 100%|██████████| 11/11 [00:04<00:00, 2.50it/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, 2.08it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.20it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.13it/s] 36%|███▋ | 4/11 [00:01<00:03, 2.19it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.14it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.19it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.31it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.45it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.44it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.82it/s] 100%|██████████| 11/11 [00:04<00:00, 3.26it/s] 100%|██████████| 11/11 [00:04<00:00, 2.53it/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<00:04, 2.10it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.24it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.17it/s] 36%|███▋ | 4/11 [00:01<00:03, 2.22it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.24it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.24it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.33it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.44it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.39it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.79it/s] 100%|██████████| 11/11 [00:04<00:00, 3.24it/s] 100%|██████████| 11/11 [00:04<00:00, 2.55it/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, 2.12it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.24it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.15it/s] 36%|███▋ | 4/11 [00:01<00:03, 2.22it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.26it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.28it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.37it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.50it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.49it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.87it/s] 100%|██████████| 11/11 [00:04<00:00, 3.31it/s] 100%|██████████| 11/11 [00:04<00:00, 2.59it/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<00:04, 2.10it/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, 2.23it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.23it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.27it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.32it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.37it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.35it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.69it/s] 100%|██████████| 11/11 [00:04<00:00, 3.11it/s] 100%|██████████| 11/11 [00:04<00:00, 2.50it/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<00:04, 2.08it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.22it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.13it/s] 36%|███▋ | 4/11 [00:01<00:03, 2.20it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.24it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.26it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.35it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.49it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.46it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.85it/s] 100%|██████████| 11/11 [00:04<00:00, 3.24it/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, 2.12it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.16it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.12it/s] 36%|███▋ | 4/11 [00:01<00:03, 2.20it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.22it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.14it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.23it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.36it/s] 82%|████████▏ | 9/11 [00:04<00:00, 2.19it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.51it/s] 100%|██████████| 11/11 [00:04<00:00, 2.92it/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%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.15it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.24it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.17it/s] 36%|███▋ | 4/11 [00:01<00:03, 2.22it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.25it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.27it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.34it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.38it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.39it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.79it/s] 100%|██████████| 11/11 [00:04<00:00, 3.19it/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<00:04, 2.13it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.24it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.14it/s] 36%|███▋ | 4/11 [00:01<00:03, 2.17it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.21it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.24it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.32it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.47it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.44it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.78it/s] 100%|██████████| 11/11 [00:04<00:00, 3.22it/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<00:04, 2.15it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.02it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.03it/s] 36%|███▋ | 4/11 [00:01<00:03, 2.11it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.13it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.12it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.24it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.41it/s] 82%|████████▏ | 9/11 [00:04<00:00, 2.34it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.70it/s] 100%|██████████| 11/11 [00:04<00:00, 3.14it/s] 100%|██████████| 11/11 [00:04<00:00, 2.45it/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, 2.13it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.16it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.11it/s] 36%|███▋ | 4/11 [00:01<00:03, 2.14it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.20it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.17it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.28it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.45it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.40it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.79it/s] 100%|██████████| 11/11 [00:04<00:00, 3.23it/s] 100%|██████████| 11/11 [00:04<00:00, 2.52it/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
Chef Skeleton is cooking stew in a dark basement, ((chef hat:1.5)), no humans, <lora:RPGSkeleton:1>
negative_prompt
Specify things to not see in the output
(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
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
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0.5
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.
196002168
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++ 3M SDE Exponential
samping_steps
Number of denoising steps
23
cfg_scale
Scale for classifier-free guidance
4
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
vae-ft-mse-840000-ema-pruned_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
racial-chang-slider.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
more_details.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
RPGSkeleton.safetensors
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
CyberRealistic_Negative-neg.pt
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)
realisticvision-negative-embedding.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/043a910f06464902838db8c5f16a4511/00000-196002168.webp
https://files.tungsten.run/uploads/1cc89a6c759a42bdb6172c6c8a4181f0/00001-196002169.webp
https://files.tungsten.run/uploads/a556eca0d98c458a9ec413a3846b4aa3/00002-196002170.webp
https://files.tungsten.run/uploads/a10800497d1d484f950dd265437ffb7c/00003-196002171.webp
Finished in 96.5 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors Full prompt: Chef Skeleton is cooking stew in a dark basement, ((chef hat:1.5)), no humans, <lora:RPGSkeleton:1>, <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<00:42, 1.92s/it] 9%|▊ | 2/23 [00:03<00:38, 1.81s/it] 13%|█▎ | 3/23 [00:05<00:36, 1.85s/it] 17%|█▋ | 4/23 [00:07<00:35, 1.87s/it] 22%|██▏ | 5/23 [00:09<00:33, 1.85s/it] 26%|██▌ | 6/23 [00:10<00:30, 1.80s/it] 30%|███ | 7/23 [00:12<00:28, 1.78s/it] 35%|███▍ | 8/23 [00:14<00:26, 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[00:02<00:02, 2.18it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.23it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.34it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.49it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.47it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.87it/s] 100%|██████████| 11/11 [00:04<00:00, 3.12it/s] 100%|██████████| 11/11 [00:04<00:00, 2.50it/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, 2.08it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.20it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.13it/s] 36%|███▋ | 4/11 [00:01<00:03, 2.19it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.14it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.19it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.31it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.45it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.44it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.82it/s] 100%|██████████| 11/11 [00:04<00:00, 3.26it/s] 100%|██████████| 11/11 [00:04<00:00, 2.53it/s] Decoding latents in cuda:0... done in 0.24s 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2.50it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.49it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.87it/s] 100%|██████████| 11/11 [00:04<00:00, 3.31it/s] 100%|██████████| 11/11 [00:04<00:00, 2.59it/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<00:04, 2.10it/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, 2.23it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.23it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.27it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.32it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.37it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.35it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.69it/s] 100%|██████████| 11/11 [00:04<00:00, 3.11it/s] 100%|██████████| 11/11 [00:04<00:00, 2.50it/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<00:04, 2.08it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.22it/s] 27%|██▋ 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?it/s] 9%|▉ | 1/11 [00:00<00:04, 2.13it/s] 18%|█▊ | 2/11 [00:00<00:04, 2.16it/s] 27%|██▋ | 3/11 [00:01<00:03, 2.11it/s] 36%|███▋ | 4/11 [00:01<00:03, 2.14it/s] 45%|████▌ | 5/11 [00:02<00:02, 2.20it/s] 55%|█████▍ | 6/11 [00:02<00:02, 2.17it/s] 64%|██████▎ | 7/11 [00:03<00:01, 2.28it/s] 73%|███████▎ | 8/11 [00:03<00:01, 2.45it/s] 82%|████████▏ | 9/11 [00:03<00:00, 2.40it/s] 91%|█████████ | 10/11 [00:04<00:00, 2.79it/s] 100%|██████████| 11/11 [00:04<00:00, 3.23it/s] 100%|██████████| 11/11 [00:04<00:00, 2.52it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Uploading outputs... Finished.