realisian
realisian
4 stars
Version: v5.0
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.
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Output
https://files.tungsten.run/uploads/5c969f4ab1ab4f4aa3d39906145276fc/00000-3614532514.webp
https://files.tungsten.run/uploads/6b11d01e0ae246cfabc9731d59275c6d/00001-3614532515.webp
https://files.tungsten.run/uploads/c3d0b5a571e645f5b6f361792537b699/00002-3614532516.webp
https://files.tungsten.run/uploads/ffd6835c157a41468f1cd71f184c9121/00003-3614532517.webp
This example was created by evevalentine2017
Finished in 240.1 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: highres, masterpiece, perfect lighting, bloom, night, cinematic lighting, adult, perfect skin, female, looking at viewer:1.4, soft light, young woman, freckles:0.95, eyeliner, realistic skin, beautiful face, realistic eyes, perfect detailed face, light eyes, realistic, photorealistic:1.2, sexy, narrow waist, slim, standing, night, crowded street, night, leather pants, white top, baseball cap, high ponytail, long hair, hilda pokemon, cleavage, super cute, <lora:FaceBeauty_qinglong_V3:1>, <lora:add_saturation:-1.09> Full negative prompt: ((brown eyes:2)), ((portrait:2)), ((focus on face:2)), bad-picture-chill-32v, ng_deepnegative_v1_75t, badhandv4, (worst quality:2), (low quality:2), (normal quality:2), (lowres:2), (bad anatomy:2), (bad hands:2), (watermark:2), (mole:1.5), (freckles:1.5) 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:49, 1.69s/it] 7%|▋ | 2/30 [00:03<00:47, 1.70s/it] 10%|█ | 3/30 [00:05<00:46, 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71%|███████ | 12/17 [00:05<00:02, 2.26it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.21it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.24it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.21it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.50it/s] 100%|██████████| 17/17 [00:07<00:00, 2.94it/s] 100%|██████████| 17/17 [00:07<00:00, 2.33it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.29it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.18it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.22it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.18it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.17it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.19it/s] 41%|████ | 7/17 [00:03<00:04, 2.12it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.15it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.14it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.25it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.31it/s] 71%|███████ | 12/17 [00:05<00:02, 2.30it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.24it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.24it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.27it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.53it/s] 100%|██████████| 17/17 [00:07<00:00, 2.96it/s] 100%|██████████| 17/17 [00:07<00:00, 2.35it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:07, 2.21it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.21it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.25it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.23it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.20it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.20it/s] 41%|████ | 7/17 [00:03<00:04, 2.12it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.14it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.13it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.22it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.29it/s] 71%|███████ | 12/17 [00:05<00:02, 2.27it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.24it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.24it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.27it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.55it/s] 100%|██████████| 17/17 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=========================================== A tensor with all NaNs was produced in VAE. Converted VAE into 32-bit float and retry. =========================================== done in 0.44s Move latents to cpu... done in 0.21s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:07, 2.12it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.19it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.21it/s] 24%|██▎ | 4/17 [00:01<00:06, 2.15it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.10it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.13it/s] 41%|████ | 7/17 [00:03<00:04, 2.09it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.14it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.11it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.22it/s] 65%|██████▍ | 11/17 [00:05<00:02, 2.30it/s] 71%|███████ | 12/17 [00:05<00:02, 2.26it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.22it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.21it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.24it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.53it/s] 100%|██████████| 17/17 [00:07<00:00, 2.92it/s] 100%|██████████| 17/17 [00:07<00:00, 2.31it/s] Decoding latents in cuda:0... done in 0.39s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:07, 2.15it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.19it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.23it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.21it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.17it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.17it/s] 41%|████ | 7/17 [00:03<00:04, 2.12it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.12it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.12it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.19it/s] 65%|██████▍ | 11/17 [00:05<00:02, 2.26it/s] 71%|███████ | 12/17 [00:05<00:02, 2.21it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.17it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.15it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.19it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.46it/s] 100%|██████████| 17/17 [00:07<00:00, 2.90it/s] 100%|██████████| 17/17 [00:07<00:00, 2.30it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:07, 2.20it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.15it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.22it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.17it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.14it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.11it/s] 41%|████ | 7/17 [00:03<00:04, 2.08it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.10it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.08it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.16it/s] 65%|██████▍ | 11/17 [00:05<00:02, 2.23it/s] 71%|███████ | 12/17 [00:05<00:02, 2.23it/s] 76%|███████▋ | 13/17 [00:06<00:01, 2.16it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.18it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.19it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.47it/s] 100%|██████████| 17/17 [00:07<00:00, 2.89it/s] 100%|██████████| 17/17 [00:07<00:00, 2.29it/s] Decoding latents in cuda:0... done in 0.39s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:07, 2.22it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.15it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.20it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.18it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.15it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.14it/s] 41%|████ | 7/17 [00:03<00:04, 2.09it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.12it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.09it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.20it/s] 65%|██████▍ | 11/17 [00:05<00:02, 2.24it/s] 71%|███████ | 12/17 [00:05<00:02, 2.24it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.20it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.17it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.18it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.46it/s] 100%|██████████| 17/17 [00:07<00:00, 2.87it/s] 100%|██████████| 17/17 [00:07<00:00, 2.30it/s] Decoding latents in cuda:0... done in 0.39s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:07, 2.17it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.18it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.18it/s] 24%|██▎ | 4/17 [00:01<00:06, 2.16it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.12it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.14it/s] 41%|████ | 7/17 [00:03<00:04, 2.09it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.10it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.09it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.17it/s] 65%|██████▍ | 11/17 [00:05<00:02, 2.24it/s] 71%|███████ | 12/17 [00:05<00:02, 2.21it/s] 76%|███████▋ | 13/17 [00:06<00:01, 2.17it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.16it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.19it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.47it/s] 100%|██████████| 17/17 [00:07<00:00, 2.87it/s] 100%|██████████| 17/17 [00:07<00:00, 2.28it/s] Decoding latents in cuda:0... done in 0.39s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:07, 2.13it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.15it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.16it/s] 24%|██▎ | 4/17 [00:01<00:06, 2.15it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.10it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.09it/s] 41%|████ | 7/17 [00:03<00:04, 2.06it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.06it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.07it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.14it/s] 65%|██████▍ | 11/17 [00:05<00:02, 2.20it/s] 71%|███████ | 12/17 [00:05<00:02, 2.20it/s] 76%|███████▋ | 13/17 [00:06<00:01, 2.18it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.19it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.20it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.47it/s] 100%|██████████| 17/17 [00:07<00:00, 2.86it/s] 100%|██████████| 17/17 [00:07<00:00, 2.27it/s] Decoding latents in cuda:0... done in 0.39s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:07, 2.20it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.18it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.20it/s] 24%|██▎ | 4/17 [00:01<00:06, 2.17it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.14it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.10it/s] 41%|████ | 7/17 [00:03<00:04, 2.06it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.07it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.06it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.13it/s] 65%|██████▍ | 11/17 [00:05<00:02, 2.20it/s] 71%|███████ | 12/17 [00:05<00:02, 2.22it/s] 76%|███████▋ | 13/17 [00:06<00:01, 2.19it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.20it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.21it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.47it/s] 100%|██████████| 17/17 [00:07<00:00, 2.88it/s] 100%|██████████| 17/17 [00:07<00:00, 2.28it/s] Decoding latents in cuda:0... done in 0.39s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:07, 2.25it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.18it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.20it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.18it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.13it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.13it/s] 41%|████ | 7/17 [00:03<00:04, 2.08it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.11it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.07it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.18it/s] 65%|██████▍ | 11/17 [00:05<00:02, 2.23it/s] 71%|███████ | 12/17 [00:05<00:02, 2.23it/s] 76%|███████▋ | 13/17 [00:06<00:01, 2.18it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.18it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.21it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.46it/s] 100%|██████████| 17/17 [00:07<00:00, 2.88it/s] 100%|██████████| 17/17 [00:07<00:00, 2.29it/s] Decoding latents in cuda:0... done in 0.39s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:07, 2.24it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.22it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.23it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.20it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.15it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.14it/s] 41%|████ | 7/17 [00:03<00:04, 2.09it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.12it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.10it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.21it/s] 65%|██████▍ | 11/17 [00:05<00:02, 2.21it/s] 71%|███████ | 12/17 [00:05<00:02, 2.20it/s] 76%|███████▋ | 13/17 [00:06<00:01, 2.16it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.16it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.20it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.48it/s] 100%|██████████| 17/17 [00:07<00:00, 2.91it/s] 100%|██████████| 17/17 [00:07<00:00, 2.30it/s] Decoding latents in cuda:0... done in 0.39s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:07, 2.11it/s] 12%|█▏ | 2/17 [00:00<00:07, 2.13it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.17it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.18it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.15it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.16it/s] 41%|████ | 7/17 [00:03<00:04, 2.12it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.14it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.10it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.22it/s] 65%|██████▍ | 11/17 [00:05<00:02, 2.28it/s] 71%|███████ | 12/17 [00:05<00:02, 2.26it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.22it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.23it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.22it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.49it/s] 100%|██████████| 17/17 [00:07<00:00, 2.87it/s] 100%|██████████| 17/17 [00:07<00:00, 2.31it/s] Decoding latents in cuda:0... done in 0.39s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:07, 2.15it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.16it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.21it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.20it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.14it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.15it/s] 41%|████ | 7/17 [00:03<00:04, 2.10it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.12it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.10it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.19it/s] 65%|██████▍ | 11/17 [00:05<00:02, 2.26it/s] 71%|███████ | 12/17 [00:05<00:02, 2.25it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.22it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.23it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.24it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.51it/s] 100%|██████████| 17/17 [00:07<00:00, 2.91it/s] 100%|██████████| 17/17 [00:07<00:00, 2.31it/s] Decoding latents in cuda:0... done in 0.39s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:07, 2.15it/s] 12%|█▏ | 2/17 [00:00<00:07, 2.11it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.18it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.19it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.12it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.14it/s] 41%|████ | 7/17 [00:03<00:04, 2.08it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.11it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.10it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.21it/s] 65%|██████▍ | 11/17 [00:05<00:02, 2.25it/s] 71%|███████ | 12/17 [00:05<00:02, 2.23it/s] 76%|███████▋ | 13/17 [00:06<00:01, 2.19it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.20it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.23it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.50it/s] 100%|██████████| 17/17 [00:07<00:00, 2.93it/s] 100%|██████████| 17/17 [00:07<00:00, 2.30it/s] Decoding latents in cuda:0... done in 0.39s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:07, 2.25it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.17it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.23it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.20it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.10it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.12it/s] 41%|████ | 7/17 [00:03<00:04, 2.09it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.12it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.08it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.17it/s] 65%|██████▍ | 11/17 [00:05<00:02, 2.23it/s] 71%|███████ | 12/17 [00:05<00:02, 2.19it/s] 76%|███████▋ | 13/17 [00:06<00:01, 2.15it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.15it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.19it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.43it/s] 100%|██████████| 17/17 [00:07<00:00, 2.85it/s] 100%|██████████| 17/17 [00:07<00:00, 2.28it/s] Decoding latents in cuda:0... done in 0.39s 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/5c969f4ab1ab4f4aa3d39906145276fc/00000-3614532514.webp
https://files.tungsten.run/uploads/6b11d01e0ae246cfabc9731d59275c6d/00001-3614532515.webp
https://files.tungsten.run/uploads/c3d0b5a571e645f5b6f361792537b699/00002-3614532516.webp
https://files.tungsten.run/uploads/ffd6835c157a41468f1cd71f184c9121/00003-3614532517.webp
This example was created by evevalentine2017
Finished in 240.1 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: highres, masterpiece, perfect lighting, bloom, night, cinematic lighting, adult, perfect skin, female, looking at viewer:1.4, soft light, young woman, freckles:0.95, eyeliner, realistic skin, beautiful face, realistic eyes, perfect detailed face, light eyes, realistic, photorealistic:1.2, sexy, narrow waist, slim, standing, night, crowded street, night, leather pants, white top, baseball cap, high ponytail, long hair, hilda pokemon, cleavage, super cute, <lora:FaceBeauty_qinglong_V3:1>, <lora:add_saturation:-1.09> Full negative prompt: ((brown eyes:2)), ((portrait:2)), ((focus on face:2)), bad-picture-chill-32v, ng_deepnegative_v1_75t, badhandv4, (worst quality:2), (low quality:2), (normal quality:2), (lowres:2), (bad anatomy:2), (bad hands:2), (watermark:2), (mole:1.5), (freckles:1.5) 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:49, 1.69s/it] 7%|▋ | 2/30 [00:03<00:47, 1.70s/it] 10%|█ | 3/30 [00:05<00:46, 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71%|███████ | 12/17 [00:05<00:02, 2.26it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.21it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.24it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.21it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.50it/s] 100%|██████████| 17/17 [00:07<00:00, 2.94it/s] 100%|██████████| 17/17 [00:07<00:00, 2.33it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.29it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.18it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.22it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.18it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.17it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.19it/s] 41%|████ | 7/17 [00:03<00:04, 2.12it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.15it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.14it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.25it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.31it/s] 71%|███████ | 12/17 [00:05<00:02, 2.30it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.24it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.24it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.27it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.53it/s] 100%|██████████| 17/17 [00:07<00:00, 2.96it/s] 100%|██████████| 17/17 [00:07<00:00, 2.35it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:07, 2.21it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.21it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.25it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.23it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.20it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.20it/s] 41%|████ | 7/17 [00:03<00:04, 2.12it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.14it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.13it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.22it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.29it/s] 71%|███████ | 12/17 [00:05<00:02, 2.27it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.24it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.24it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.27it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.55it/s] 100%|██████████| 17/17 [00:07<00:00, 2.98it/s] 100%|██████████| 17/17 [00:07<00:00, 2.35it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:07, 2.22it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.21it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.19it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.22it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.15it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.15it/s] 41%|████ | 7/17 [00:03<00:04, 2.10it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.14it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.13it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.22it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.30it/s] 71%|███████ | 12/17 [00:05<00:02, 2.29it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.25it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.23it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.24it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.52it/s] 100%|██████████| 17/17 [00:07<00:00, 2.95it/s] 100%|██████████| 17/17 [00:07<00:00, 2.33it/s] Decoding latents in cuda:0... =========================================== A tensor with all NaNs was produced in VAE. Converted VAE into 32-bit float and retry. =========================================== done in 0.44s Move latents to cpu... done in 0.21s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:07, 2.12it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.19it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.21it/s] 24%|██▎ | 4/17 [00:01<00:06, 2.15it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.10it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.13it/s] 41%|████ | 7/17 [00:03<00:04, 2.09it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.14it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.11it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.22it/s] 65%|██████▍ | 11/17 [00:05<00:02, 2.30it/s] 71%|███████ | 12/17 [00:05<00:02, 2.26it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.22it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.21it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.24it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.53it/s] 100%|██████████| 17/17 [00:07<00:00, 2.92it/s] 100%|██████████| 17/17 [00:07<00:00, 2.31it/s] Decoding latents in cuda:0... done in 0.39s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:07, 2.15it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.19it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.23it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.21it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.17it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.17it/s] 41%|████ | 7/17 [00:03<00:04, 2.12it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.12it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.12it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.19it/s] 65%|██████▍ | 11/17 [00:05<00:02, 2.26it/s] 71%|███████ | 12/17 [00:05<00:02, 2.21it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.17it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.15it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.19it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.46it/s] 100%|██████████| 17/17 [00:07<00:00, 2.90it/s] 100%|██████████| 17/17 [00:07<00:00, 2.30it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:07, 2.20it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.15it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.22it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.17it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.14it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.11it/s] 41%|████ | 7/17 [00:03<00:04, 2.08it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.10it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.08it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.16it/s] 65%|██████▍ | 11/17 [00:05<00:02, 2.23it/s] 71%|███████ | 12/17 [00:05<00:02, 2.23it/s] 76%|███████▋ | 13/17 [00:06<00:01, 2.16it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.18it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.19it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.47it/s] 100%|██████████| 17/17 [00:07<00:00, 2.89it/s] 100%|██████████| 17/17 [00:07<00:00, 2.29it/s] Decoding latents in cuda:0... done in 0.39s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:07, 2.22it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.15it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.20it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.18it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.15it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.14it/s] 41%|████ | 7/17 [00:03<00:04, 2.09it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.12it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.09it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.20it/s] 65%|██████▍ | 11/17 [00:05<00:02, 2.24it/s] 71%|███████ | 12/17 [00:05<00:02, 2.24it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.20it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.17it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.18it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.46it/s] 100%|██████████| 17/17 [00:07<00:00, 2.87it/s] 100%|██████████| 17/17 [00:07<00:00, 2.30it/s] Decoding latents in cuda:0... done in 0.39s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:07, 2.17it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.18it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.18it/s] 24%|██▎ | 4/17 [00:01<00:06, 2.16it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.12it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.14it/s] 41%|████ | 7/17 [00:03<00:04, 2.09it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.10it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.09it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.17it/s] 65%|██████▍ | 11/17 [00:05<00:02, 2.24it/s] 71%|███████ | 12/17 [00:05<00:02, 2.21it/s] 76%|███████▋ | 13/17 [00:06<00:01, 2.17it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.16it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.19it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.47it/s] 100%|██████████| 17/17 [00:07<00:00, 2.87it/s] 100%|██████████| 17/17 [00:07<00:00, 2.28it/s] Decoding latents in cuda:0... done in 0.39s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:07, 2.13it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.15it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.16it/s] 24%|██▎ | 4/17 [00:01<00:06, 2.15it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.10it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.09it/s] 41%|████ | 7/17 [00:03<00:04, 2.06it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.06it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.07it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.14it/s] 65%|██████▍ | 11/17 [00:05<00:02, 2.20it/s] 71%|███████ | 12/17 [00:05<00:02, 2.20it/s] 76%|███████▋ | 13/17 [00:06<00:01, 2.18it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.19it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.20it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.47it/s] 100%|██████████| 17/17 [00:07<00:00, 2.86it/s] 100%|██████████| 17/17 [00:07<00:00, 2.27it/s] Decoding latents in cuda:0... done in 0.39s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:07, 2.20it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.18it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.20it/s] 24%|██▎ | 4/17 [00:01<00:06, 2.17it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.14it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.10it/s] 41%|████ | 7/17 [00:03<00:04, 2.06it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.07it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.06it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.13it/s] 65%|██████▍ | 11/17 [00:05<00:02, 2.20it/s] 71%|███████ | 12/17 [00:05<00:02, 2.22it/s] 76%|███████▋ | 13/17 [00:06<00:01, 2.19it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.20it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.21it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.47it/s] 100%|██████████| 17/17 [00:07<00:00, 2.88it/s] 100%|██████████| 17/17 [00:07<00:00, 2.28it/s] Decoding latents in cuda:0... done in 0.39s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:07, 2.25it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.18it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.20it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.18it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.13it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.13it/s] 41%|████ | 7/17 [00:03<00:04, 2.08it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.11it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.07it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.18it/s] 65%|██████▍ | 11/17 [00:05<00:02, 2.23it/s] 71%|███████ | 12/17 [00:05<00:02, 2.23it/s] 76%|███████▋ | 13/17 [00:06<00:01, 2.18it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.18it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.21it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.46it/s] 100%|██████████| 17/17 [00:07<00:00, 2.88it/s] 100%|██████████| 17/17 [00:07<00:00, 2.29it/s] Decoding latents in cuda:0... done in 0.39s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:07, 2.24it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.22it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.23it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.20it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.15it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.14it/s] 41%|████ | 7/17 [00:03<00:04, 2.09it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.12it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.10it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.21it/s] 65%|██████▍ | 11/17 [00:05<00:02, 2.21it/s] 71%|███████ | 12/17 [00:05<00:02, 2.20it/s] 76%|███████▋ | 13/17 [00:06<00:01, 2.16it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.16it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.20it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.48it/s] 100%|██████████| 17/17 [00:07<00:00, 2.91it/s] 100%|██████████| 17/17 [00:07<00:00, 2.30it/s] Decoding latents in cuda:0... done in 0.39s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:07, 2.11it/s] 12%|█▏ | 2/17 [00:00<00:07, 2.13it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.17it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.18it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.15it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.16it/s] 41%|████ | 7/17 [00:03<00:04, 2.12it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.14it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.10it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.22it/s] 65%|██████▍ | 11/17 [00:05<00:02, 2.28it/s] 71%|███████ | 12/17 [00:05<00:02, 2.26it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.22it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.23it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.22it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.49it/s] 100%|██████████| 17/17 [00:07<00:00, 2.87it/s] 100%|██████████| 17/17 [00:07<00:00, 2.31it/s] Decoding latents in cuda:0... done in 0.39s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:07, 2.15it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.16it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.21it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.20it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.14it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.15it/s] 41%|████ | 7/17 [00:03<00:04, 2.10it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.12it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.10it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.19it/s] 65%|██████▍ | 11/17 [00:05<00:02, 2.26it/s] 71%|███████ | 12/17 [00:05<00:02, 2.25it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.22it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.23it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.24it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.51it/s] 100%|██████████| 17/17 [00:07<00:00, 2.91it/s] 100%|██████████| 17/17 [00:07<00:00, 2.31it/s] Decoding latents in cuda:0... done in 0.39s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:07, 2.15it/s] 12%|█▏ | 2/17 [00:00<00:07, 2.11it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.18it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.19it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.12it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.14it/s] 41%|████ | 7/17 [00:03<00:04, 2.08it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.11it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.10it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.21it/s] 65%|██████▍ | 11/17 [00:05<00:02, 2.25it/s] 71%|███████ | 12/17 [00:05<00:02, 2.23it/s] 76%|███████▋ | 13/17 [00:06<00:01, 2.19it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.20it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.23it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.50it/s] 100%|██████████| 17/17 [00:07<00:00, 2.93it/s] 100%|██████████| 17/17 [00:07<00:00, 2.30it/s] Decoding latents in cuda:0... done in 0.39s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:07, 2.25it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.17it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.23it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.20it/s] 29%|██▉ | 5/17 [00:02<00:05, 2.10it/s] 35%|███▌ | 6/17 [00:02<00:05, 2.12it/s] 41%|████ | 7/17 [00:03<00:04, 2.09it/s] 47%|████▋ | 8/17 [00:03<00:04, 2.12it/s] 53%|█████▎ | 9/17 [00:04<00:03, 2.08it/s] 59%|█████▉ | 10/17 [00:04<00:03, 2.17it/s] 65%|██████▍ | 11/17 [00:05<00:02, 2.23it/s] 71%|███████ | 12/17 [00:05<00:02, 2.19it/s] 76%|███████▋ | 13/17 [00:06<00:01, 2.15it/s] 82%|████████▏ | 14/17 [00:06<00:01, 2.15it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.19it/s] 94%|█████████▍| 16/17 [00:07<00:00, 2.43it/s] 100%|██████████| 17/17 [00:07<00:00, 2.85it/s] 100%|██████████| 17/17 [00:07<00:00, 2.28it/s] Decoding latents in cuda:0... done in 0.39s Move latents to cpu... done in 0.0s Uploading outputs... Finished.