supashy-mix
supashy-mix
15 stars
Version: v3.0
Input
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
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
num_outputs
Number of output images
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
width
Output image width
height
Output image height
reference_image
Image that the output should be similar to
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/13f1a8abf3554dc3a6abced16a783009/00000-2998471095.png
https://files.tungsten.run/uploads/b5a3a13b572341f08c4c9b34b8f97ebc/00001-2998471096.png
https://files.tungsten.run/uploads/4d4498d2051547528fd80af23186fd64/00002-2998471097.png
https://files.tungsten.run/uploads/b559ba41731d408ba98b3350de34baa5/00003-2998471098.png
This example was created by evevalentine2017
Finished in 88.8 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: absurdres, extreme detail, ultrarealistic, photorealistic, 8k, detailed face, woman, asian, walking, arms on hips, looking at viewer, park, flower patch, outside, trees, bushes, smiling,<lora:zhuangnv:0.35>, (green zhuangzunv), ornaments, jewelry, tiara, floral pattern, <lora:FaceBeauty_qinglong_V3:1>, (masterpiece: 1.5), (top quality: 1.5), (ultra realistic: 1.5), (ultra detailed: 1.5) Full negative prompt: bw, worst quality, low quality, (deformed, distorted, disfigured:1), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, (ugly), disgusting, blurry, amputation, cloned, bad-hands-5 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<00:44, 1.15s/it] 5%|▌ | 2/40 [00:01<00:31, 1.19it/s] 8%|▊ | 3/40 [00:02<00:27, 1.36it/s] 10%|█ | 4/40 [00:03<00:24, 1.44it/s] 12%|█▎ | 5/40 [00:03<00:23, 1.50it/s] 15%|█▌ | 6/40 [00:04<00:22, 1.54it/s] 18%|█▊ | 7/40 [00:04<00:21, 1.56it/s] 20%|██ | 8/40 [00:05<00:20, 1.58it/s] 22%|██▎ | 9/40 [00:06<00:19, 1.59it/s] 25%|██▌ | 10/40 [00:06<00:18, 1.59it/s] 28%|██▊ | 11/40 [00:07<00:18, 1.59it/s] 30%|███ | 12/40 [00:07<00:17, 1.59it/s] 32%|███▎ | 13/40 [00:08<00:16, 1.59it/s] 35%|███▌ | 14/40 [00:09<00:16, 1.59it/s] 38%|███▊ | 15/40 [00:09<00:15, 1.59it/s] 40%|████ | 16/40 [00:10<00:15, 1.59it/s] 42%|████▎ | 17/40 [00:11<00:14, 1.59it/s] 45%|████▌ | 18/40 [00:11<00:13, 1.59it/s] 48%|████▊ | 19/40 [00:12<00:13, 1.59it/s] 50%|█████ | 20/40 [00:13<00:12, 1.59it/s] 52%|█████▎ | 21/40 [00:13<00:11, 1.59it/s] 55%|█████▌ | 22/40 [00:14<00:11, 1.59it/s] 57%|█████▊ | 23/40 [00:14<00:10, 1.59it/s] 60%|██████ | 24/40 [00:15<00:10, 1.58it/s] 62%|██████▎ | 25/40 [00:16<00:09, 1.58it/s] 65%|██████▌ | 26/40 [00:16<00:08, 1.58it/s] 68%|██████▊ | 27/40 [00:17<00:08, 1.58it/s] 70%|███████ | 28/40 [00:18<00:07, 1.58it/s] 72%|███████▎ | 29/40 [00:18<00:06, 1.58it/s] 75%|███████▌ | 30/40 [00:19<00:06, 1.58it/s] 78%|███████▊ | 31/40 [00:19<00:05, 1.58it/s] 80%|████████ | 32/40 [00:20<00:05, 1.58it/s] 82%|████████▎ | 33/40 [00:21<00:04, 1.58it/s] 85%|████████▌ | 34/40 [00:21<00:03, 1.58it/s] 88%|████████▊ | 35/40 [00:22<00:03, 1.57it/s] 90%|█████████ | 36/40 [00:23<00:02, 1.57it/s] 92%|█████████▎| 37/40 [00:23<00:01, 1.57it/s] 95%|█████████▌| 38/40 [00:24<00:01, 1.57it/s] 98%|█████████▊| 39/40 [00:25<00:00, 1.57it/s] 100%|██████████| 40/40 [00:25<00:00, 1.57it/s] 100%|██████████| 40/40 [00:25<00:00, 1.56it/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 1.55s Move latents to cpu... done in 0.02s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.95it/s] 9%|▊ | 2/23 [00:00<00:04, 4.98it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.98it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.98it/s] 22%|██▏ | 5/23 [00:01<00:03, 5.00it/s] 26%|██▌ | 6/23 [00:01<00:03, 5.02it/s] 30%|███ | 7/23 [00:01<00:03, 5.03it/s] 35%|███▍ | 8/23 [00:01<00:02, 5.04it/s] 39%|███▉ | 9/23 [00:01<00:02, 5.05it/s] 43%|████▎ | 10/23 [00:01<00:02, 5.05it/s] 48%|████▊ | 11/23 [00:02<00:02, 5.05it/s] 52%|█████▏ | 12/23 [00:02<00:02, 5.04it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.97it/s] 61%|██████ | 14/23 [00:02<00:01, 5.00it/s] 65%|██████▌ | 15/23 [00:02<00:01, 5.01it/s] 70%|██████▉ | 16/23 [00:03<00:01, 5.03it/s] 74%|███████▍ | 17/23 [00:03<00:01, 5.03it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.93it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.96it/s] 87%|████████▋ | 20/23 [00:03<00:00, 5.00it/s] 91%|█████████▏| 21/23 [00:04<00:00, 5.01it/s] 96%|█████████▌| 22/23 [00:04<00:00, 5.03it/s] 100%|██████████| 23/23 [00:04<00:00, 5.05it/s] 100%|██████████| 23/23 [00:04<00:00, 5.01it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.97it/s] 9%|▊ | 2/23 [00:00<00:04, 5.00it/s] 13%|█▎ | 3/23 [00:00<00:03, 5.03it/s] 17%|█▋ | 4/23 [00:00<00:03, 5.03it/s] 22%|██▏ | 5/23 [00:00<00:03, 5.06it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.90it/s] 30%|███ | 7/23 [00:01<00:03, 4.96it/s] 35%|███▍ | 8/23 [00:01<00:02, 5.01it/s] 39%|███▉ | 9/23 [00:01<00:02, 5.02it/s] 43%|████▎ | 10/23 [00:01<00:02, 5.04it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.86it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.91it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.95it/s] 61%|██████ | 14/23 [00:02<00:01, 4.97it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.98it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.95it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.99it/s] 78%|███████▊ | 18/23 [00:03<00:00, 5.01it/s] 83%|████████▎ | 19/23 [00:03<00:00, 5.03it/s] 87%|████████▋ | 20/23 [00:04<00:00, 5.03it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.85it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.88it/s] 100%|██████████| 23/23 [00:04<00:00, 4.91it/s] 100%|██████████| 23/23 [00:04<00:00, 4.96it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 5.01it/s] 9%|▊ | 2/23 [00:00<00:04, 5.06it/s] 13%|█▎ | 3/23 [00:00<00:03, 5.08it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.93it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.98it/s] 26%|██▌ | 6/23 [00:01<00:03, 5.02it/s] 30%|███ | 7/23 [00:01<00:03, 5.02it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.98it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.98it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.81it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.86it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.92it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.95it/s] 61%|██████ | 14/23 [00:02<00:01, 4.96it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.93it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.97it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.98it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.94it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.96it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.85it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.90it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.91it/s] 100%|██████████| 23/23 [00:04<00:00, 4.93it/s] 100%|██████████| 23/23 [00:04<00:00, 4.94it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 5.07it/s] 9%|▊ | 2/23 [00:00<00:04, 5.04it/s] 13%|█▎ | 3/23 [00:00<00:03, 5.01it/s] 17%|█▋ | 4/23 [00:00<00:03, 5.02it/s] 22%|██▏ | 5/23 [00:00<00:03, 5.02it/s] 26%|██▌ | 6/23 [00:01<00:03, 5.04it/s] 30%|███ | 7/23 [00:01<00:03, 5.02it/s] 35%|███▍ | 8/23 [00:01<00:02, 5.00it/s] 39%|███▉ | 9/23 [00:01<00:02, 5.02it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.94it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.89it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.92it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.95it/s] 61%|██████ | 14/23 [00:02<00:01, 4.97it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.97it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.93it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.96it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.98it/s] 83%|████████▎ | 19/23 [00:03<00:00, 5.02it/s] 87%|████████▋ | 20/23 [00:04<00:00, 5.05it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.96it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.97it/s] 100%|██████████| 23/23 [00:04<00:00, 4.95it/s] 100%|██████████| 23/23 [00:04<00:00, 4.98it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s [-] ADetailer: nothing detected on image 2 with 2nd settings. 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.81it/s] 9%|▊ | 2/23 [00:00<00:04, 4.81it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.79it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.82it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.88it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.90it/s] 30%|███ | 7/23 [00:01<00:03, 4.88it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.88it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.90it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.93it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.97it/s] 52%|█████▏ | 12/23 [00:02<00:02, 5.00it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.96it/s] 61%|██████ | 14/23 [00:02<00:01, 4.98it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.99it/s] 70%|██████▉ | 16/23 [00:03<00:01, 5.00it/s] 74%|███████▍ | 17/23 [00:03<00:01, 5.01it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.99it/s] 83%|████████▎ | 19/23 [00:03<00:00, 5.01it/s] 87%|████████▋ | 20/23 [00:04<00:00, 5.02it/s] 91%|█████████▏| 21/23 [00:04<00:00, 5.02it/s] 96%|█████████▌| 22/23 [00:04<00:00, 5.02it/s] 100%|██████████| 23/23 [00:04<00:00, 5.03it/s] 100%|██████████| 23/23 [00:04<00:00, 4.96it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 5.07it/s] 9%|▊ | 2/23 [00:00<00:04, 4.91it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.95it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.99it/s] 22%|██▏ | 5/23 [00:01<00:03, 5.01it/s] 26%|██▌ | 6/23 [00:01<00:03, 5.03it/s] 30%|███ | 7/23 [00:01<00:03, 5.04it/s] 35%|███▍ | 8/23 [00:01<00:02, 5.04it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.94it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.91it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.94it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.97it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.99it/s] 61%|██████ | 14/23 [00:02<00:01, 4.95it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.98it/s] 70%|██████▉ | 16/23 [00:03<00:01, 5.01it/s] 74%|███████▍ | 17/23 [00:03<00:01, 5.02it/s] 78%|███████▊ | 18/23 [00:03<00:00, 5.04it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.90it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.94it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.99it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.99it/s] 100%|██████████| 23/23 [00:04<00:00, 4.97it/s] 100%|██████████| 23/23 [00:04<00:00, 4.98it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.94it/s] 9%|▊ | 2/23 [00:00<00:04, 4.83it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.75it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.85it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.88it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.89it/s] 30%|███ | 7/23 [00:01<00:03, 4.94it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.80it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.88it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.92it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.95it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.97it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.93it/s] 61%|██████ | 14/23 [00:02<00:01, 4.98it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.99it/s] 70%|██████▉ | 16/23 [00:03<00:01, 5.01it/s] 74%|███████▍ | 17/23 [00:03<00:01, 5.02it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.88it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.93it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.97it/s] 91%|█████████▏| 21/23 [00:04<00:00, 5.00it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.97it/s] 100%|██████████| 23/23 [00:04<00:00, 4.96it/s] 100%|██████████| 23/23 [00:04<00:00, 4.93it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 5.02it/s] 9%|▊ | 2/23 [00:00<00:04, 4.98it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.98it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.99it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.84it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.89it/s] 30%|███ | 7/23 [00:01<00:03, 4.92it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.97it/s] 39%|███▉ | 9/23 [00:01<00:02, 5.01it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.99it/s] 48%|████▊ | 11/23 [00:02<00:02, 5.00it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.98it/s] 57%|█████▋ | 13/23 [00:02<00:01, 5.02it/s] 61%|██████ | 14/23 [00:02<00:01, 5.04it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.93it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.89it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.93it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.95it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.98it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.98it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.99it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.99it/s] 100%|██████████| 23/23 [00:04<00:00, 4.99it/s] 100%|██████████| 23/23 [00:04<00:00, 4.97it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.95it/s] 9%|▊ | 2/23 [00:00<00:04, 4.99it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.99it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.99it/s] 22%|██▏ | 5/23 [00:00<00:03, 5.02it/s] 26%|██▌ | 6/23 [00:01<00:03, 5.03it/s] 30%|███ | 7/23 [00:01<00:03, 5.02it/s] 35%|███▍ | 8/23 [00:01<00:02, 5.03it/s] 39%|███▉ | 9/23 [00:01<00:02, 5.03it/s] 43%|████▎ | 10/23 [00:01<00:02, 5.03it/s] 48%|████▊ | 11/23 [00:02<00:02, 5.03it/s] 52%|█████▏ | 12/23 [00:02<00:02, 5.03it/s] 57%|█████▋ | 13/23 [00:02<00:01, 5.03it/s] 61%|██████ | 14/23 [00:02<00:01, 5.04it/s] 65%|██████▌ | 15/23 [00:02<00:01, 4.96it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.98it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.94it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.95it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.95it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.99it/s] 91%|█████████▏| 21/23 [00:04<00:00, 5.02it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.97it/s] 100%|██████████| 23/23 [00:04<00:00, 5.02it/s] 100%|██████████| 23/23 [00:04<00:00, 5.00it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.64it/s] 9%|▊ | 2/23 [00:00<00:04, 4.86it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.91it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.93it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.95it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.88it/s] 30%|███ | 7/23 [00:01<00:03, 4.91it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.96it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.95it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.98it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.99it/s] 52%|█████▏ | 12/23 [00:02<00:02, 5.00it/s] 57%|█████▋ | 13/23 [00:02<00:02, 5.00it/s] 61%|██████ | 14/23 [00:02<00:01, 5.00it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.99it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.98it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.98it/s] 78%|███████▊ | 18/23 [00:03<00:00, 5.03it/s] 83%|████████▎ | 19/23 [00:03<00:00, 5.00it/s] 87%|████████▋ | 20/23 [00:04<00:00, 5.04it/s] 91%|█████████▏| 21/23 [00:04<00:00, 5.06it/s] 96%|█████████▌| 22/23 [00:04<00:00, 5.05it/s] 100%|██████████| 23/23 [00:04<00:00, 5.03it/s] 100%|██████████| 23/23 [00:04<00:00, 4.98it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s Finished.
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
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
num_outputs
Number of output images
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
width
Output image width
height
Output image height
reference_image
Image that the output should be similar to
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/13f1a8abf3554dc3a6abced16a783009/00000-2998471095.png
https://files.tungsten.run/uploads/b5a3a13b572341f08c4c9b34b8f97ebc/00001-2998471096.png
https://files.tungsten.run/uploads/4d4498d2051547528fd80af23186fd64/00002-2998471097.png
https://files.tungsten.run/uploads/b559ba41731d408ba98b3350de34baa5/00003-2998471098.png
This example was created by evevalentine2017
Finished in 88.8 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: absurdres, extreme detail, ultrarealistic, photorealistic, 8k, detailed face, woman, asian, walking, arms on hips, looking at viewer, park, flower patch, outside, trees, bushes, smiling,<lora:zhuangnv:0.35>, (green zhuangzunv), ornaments, jewelry, tiara, floral pattern, <lora:FaceBeauty_qinglong_V3:1>, (masterpiece: 1.5), (top quality: 1.5), (ultra realistic: 1.5), (ultra detailed: 1.5) Full negative prompt: bw, worst quality, low quality, (deformed, distorted, disfigured:1), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, (ugly), disgusting, blurry, amputation, cloned, bad-hands-5 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<00:44, 1.15s/it] 5%|▌ | 2/40 [00:01<00:31, 1.19it/s] 8%|▊ | 3/40 [00:02<00:27, 1.36it/s] 10%|█ | 4/40 [00:03<00:24, 1.44it/s] 12%|█▎ | 5/40 [00:03<00:23, 1.50it/s] 15%|█▌ | 6/40 [00:04<00:22, 1.54it/s] 18%|█▊ | 7/40 [00:04<00:21, 1.56it/s] 20%|██ | 8/40 [00:05<00:20, 1.58it/s] 22%|██▎ | 9/40 [00:06<00:19, 1.59it/s] 25%|██▌ | 10/40 [00:06<00:18, 1.59it/s] 28%|██▊ | 11/40 [00:07<00:18, 1.59it/s] 30%|███ | 12/40 [00:07<00:17, 1.59it/s] 32%|███▎ | 13/40 [00:08<00:16, 1.59it/s] 35%|███▌ | 14/40 [00:09<00:16, 1.59it/s] 38%|███▊ | 15/40 [00:09<00:15, 1.59it/s] 40%|████ | 16/40 [00:10<00:15, 1.59it/s] 42%|████▎ | 17/40 [00:11<00:14, 1.59it/s] 45%|████▌ | 18/40 [00:11<00:13, 1.59it/s] 48%|████▊ | 19/40 [00:12<00:13, 1.59it/s] 50%|█████ | 20/40 [00:13<00:12, 1.59it/s] 52%|█████▎ | 21/40 [00:13<00:11, 1.59it/s] 55%|█████▌ | 22/40 [00:14<00:11, 1.59it/s] 57%|█████▊ | 23/40 [00:14<00:10, 1.59it/s] 60%|██████ | 24/40 [00:15<00:10, 1.58it/s] 62%|██████▎ | 25/40 [00:16<00:09, 1.58it/s] 65%|██████▌ | 26/40 [00:16<00:08, 1.58it/s] 68%|██████▊ | 27/40 [00:17<00:08, 1.58it/s] 70%|███████ | 28/40 [00:18<00:07, 1.58it/s] 72%|███████▎ | 29/40 [00:18<00:06, 1.58it/s] 75%|███████▌ | 30/40 [00:19<00:06, 1.58it/s] 78%|███████▊ | 31/40 [00:19<00:05, 1.58it/s] 80%|████████ | 32/40 [00:20<00:05, 1.58it/s] 82%|████████▎ | 33/40 [00:21<00:04, 1.58it/s] 85%|████████▌ | 34/40 [00:21<00:03, 1.58it/s] 88%|████████▊ | 35/40 [00:22<00:03, 1.57it/s] 90%|█████████ | 36/40 [00:23<00:02, 1.57it/s] 92%|█████████▎| 37/40 [00:23<00:01, 1.57it/s] 95%|█████████▌| 38/40 [00:24<00:01, 1.57it/s] 98%|█████████▊| 39/40 [00:25<00:00, 1.57it/s] 100%|██████████| 40/40 [00:25<00:00, 1.57it/s] 100%|██████████| 40/40 [00:25<00:00, 1.56it/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 1.55s Move latents to cpu... done in 0.02s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.95it/s] 9%|▊ | 2/23 [00:00<00:04, 4.98it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.98it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.98it/s] 22%|██▏ | 5/23 [00:01<00:03, 5.00it/s] 26%|██▌ | 6/23 [00:01<00:03, 5.02it/s] 30%|███ | 7/23 [00:01<00:03, 5.03it/s] 35%|███▍ | 8/23 [00:01<00:02, 5.04it/s] 39%|███▉ | 9/23 [00:01<00:02, 5.05it/s] 43%|████▎ | 10/23 [00:01<00:02, 5.05it/s] 48%|████▊ | 11/23 [00:02<00:02, 5.05it/s] 52%|█████▏ | 12/23 [00:02<00:02, 5.04it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.97it/s] 61%|██████ | 14/23 [00:02<00:01, 5.00it/s] 65%|██████▌ | 15/23 [00:02<00:01, 5.01it/s] 70%|██████▉ | 16/23 [00:03<00:01, 5.03it/s] 74%|███████▍ | 17/23 [00:03<00:01, 5.03it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.93it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.96it/s] 87%|████████▋ | 20/23 [00:03<00:00, 5.00it/s] 91%|█████████▏| 21/23 [00:04<00:00, 5.01it/s] 96%|█████████▌| 22/23 [00:04<00:00, 5.03it/s] 100%|██████████| 23/23 [00:04<00:00, 5.05it/s] 100%|██████████| 23/23 [00:04<00:00, 5.01it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.97it/s] 9%|▊ | 2/23 [00:00<00:04, 5.00it/s] 13%|█▎ | 3/23 [00:00<00:03, 5.03it/s] 17%|█▋ | 4/23 [00:00<00:03, 5.03it/s] 22%|██▏ | 5/23 [00:00<00:03, 5.06it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.90it/s] 30%|███ | 7/23 [00:01<00:03, 4.96it/s] 35%|███▍ | 8/23 [00:01<00:02, 5.01it/s] 39%|███▉ | 9/23 [00:01<00:02, 5.02it/s] 43%|████▎ | 10/23 [00:01<00:02, 5.04it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.86it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.91it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.95it/s] 61%|██████ | 14/23 [00:02<00:01, 4.97it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.98it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.95it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.99it/s] 78%|███████▊ | 18/23 [00:03<00:00, 5.01it/s] 83%|████████▎ | 19/23 [00:03<00:00, 5.03it/s] 87%|████████▋ | 20/23 [00:04<00:00, 5.03it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.85it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.88it/s] 100%|██████████| 23/23 [00:04<00:00, 4.91it/s] 100%|██████████| 23/23 [00:04<00:00, 4.96it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 5.01it/s] 9%|▊ | 2/23 [00:00<00:04, 5.06it/s] 13%|█▎ | 3/23 [00:00<00:03, 5.08it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.93it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.98it/s] 26%|██▌ | 6/23 [00:01<00:03, 5.02it/s] 30%|███ | 7/23 [00:01<00:03, 5.02it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.98it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.98it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.81it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.86it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.92it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.95it/s] 61%|██████ | 14/23 [00:02<00:01, 4.96it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.93it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.97it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.98it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.94it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.96it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.85it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.90it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.91it/s] 100%|██████████| 23/23 [00:04<00:00, 4.93it/s] 100%|██████████| 23/23 [00:04<00:00, 4.94it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 5.07it/s] 9%|▊ | 2/23 [00:00<00:04, 5.04it/s] 13%|█▎ | 3/23 [00:00<00:03, 5.01it/s] 17%|█▋ | 4/23 [00:00<00:03, 5.02it/s] 22%|██▏ | 5/23 [00:00<00:03, 5.02it/s] 26%|██▌ | 6/23 [00:01<00:03, 5.04it/s] 30%|███ | 7/23 [00:01<00:03, 5.02it/s] 35%|███▍ | 8/23 [00:01<00:02, 5.00it/s] 39%|███▉ | 9/23 [00:01<00:02, 5.02it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.94it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.89it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.92it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.95it/s] 61%|██████ | 14/23 [00:02<00:01, 4.97it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.97it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.93it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.96it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.98it/s] 83%|████████▎ | 19/23 [00:03<00:00, 5.02it/s] 87%|████████▋ | 20/23 [00:04<00:00, 5.05it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.96it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.97it/s] 100%|██████████| 23/23 [00:04<00:00, 4.95it/s] 100%|██████████| 23/23 [00:04<00:00, 4.98it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s [-] ADetailer: nothing detected on image 2 with 2nd settings. 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.81it/s] 9%|▊ | 2/23 [00:00<00:04, 4.81it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.79it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.82it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.88it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.90it/s] 30%|███ | 7/23 [00:01<00:03, 4.88it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.88it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.90it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.93it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.97it/s] 52%|█████▏ | 12/23 [00:02<00:02, 5.00it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.96it/s] 61%|██████ | 14/23 [00:02<00:01, 4.98it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.99it/s] 70%|██████▉ | 16/23 [00:03<00:01, 5.00it/s] 74%|███████▍ | 17/23 [00:03<00:01, 5.01it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.99it/s] 83%|████████▎ | 19/23 [00:03<00:00, 5.01it/s] 87%|████████▋ | 20/23 [00:04<00:00, 5.02it/s] 91%|█████████▏| 21/23 [00:04<00:00, 5.02it/s] 96%|█████████▌| 22/23 [00:04<00:00, 5.02it/s] 100%|██████████| 23/23 [00:04<00:00, 5.03it/s] 100%|██████████| 23/23 [00:04<00:00, 4.96it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 5.07it/s] 9%|▊ | 2/23 [00:00<00:04, 4.91it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.95it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.99it/s] 22%|██▏ | 5/23 [00:01<00:03, 5.01it/s] 26%|██▌ | 6/23 [00:01<00:03, 5.03it/s] 30%|███ | 7/23 [00:01<00:03, 5.04it/s] 35%|███▍ | 8/23 [00:01<00:02, 5.04it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.94it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.91it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.94it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.97it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.99it/s] 61%|██████ | 14/23 [00:02<00:01, 4.95it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.98it/s] 70%|██████▉ | 16/23 [00:03<00:01, 5.01it/s] 74%|███████▍ | 17/23 [00:03<00:01, 5.02it/s] 78%|███████▊ | 18/23 [00:03<00:00, 5.04it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.90it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.94it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.99it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.99it/s] 100%|██████████| 23/23 [00:04<00:00, 4.97it/s] 100%|██████████| 23/23 [00:04<00:00, 4.98it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.94it/s] 9%|▊ | 2/23 [00:00<00:04, 4.83it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.75it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.85it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.88it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.89it/s] 30%|███ | 7/23 [00:01<00:03, 4.94it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.80it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.88it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.92it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.95it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.97it/s] 57%|█████▋ | 13/23 [00:02<00:02, 4.93it/s] 61%|██████ | 14/23 [00:02<00:01, 4.98it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.99it/s] 70%|██████▉ | 16/23 [00:03<00:01, 5.01it/s] 74%|███████▍ | 17/23 [00:03<00:01, 5.02it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.88it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.93it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.97it/s] 91%|█████████▏| 21/23 [00:04<00:00, 5.00it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.97it/s] 100%|██████████| 23/23 [00:04<00:00, 4.96it/s] 100%|██████████| 23/23 [00:04<00:00, 4.93it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 5.02it/s] 9%|▊ | 2/23 [00:00<00:04, 4.98it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.98it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.99it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.84it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.89it/s] 30%|███ | 7/23 [00:01<00:03, 4.92it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.97it/s] 39%|███▉ | 9/23 [00:01<00:02, 5.01it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.99it/s] 48%|████▊ | 11/23 [00:02<00:02, 5.00it/s] 52%|█████▏ | 12/23 [00:02<00:02, 4.98it/s] 57%|█████▋ | 13/23 [00:02<00:01, 5.02it/s] 61%|██████ | 14/23 [00:02<00:01, 5.04it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.93it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.89it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.93it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.95it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.98it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.98it/s] 91%|█████████▏| 21/23 [00:04<00:00, 4.99it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.99it/s] 100%|██████████| 23/23 [00:04<00:00, 4.99it/s] 100%|██████████| 23/23 [00:04<00:00, 4.97it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.95it/s] 9%|▊ | 2/23 [00:00<00:04, 4.99it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.99it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.99it/s] 22%|██▏ | 5/23 [00:00<00:03, 5.02it/s] 26%|██▌ | 6/23 [00:01<00:03, 5.03it/s] 30%|███ | 7/23 [00:01<00:03, 5.02it/s] 35%|███▍ | 8/23 [00:01<00:02, 5.03it/s] 39%|███▉ | 9/23 [00:01<00:02, 5.03it/s] 43%|████▎ | 10/23 [00:01<00:02, 5.03it/s] 48%|████▊ | 11/23 [00:02<00:02, 5.03it/s] 52%|█████▏ | 12/23 [00:02<00:02, 5.03it/s] 57%|█████▋ | 13/23 [00:02<00:01, 5.03it/s] 61%|██████ | 14/23 [00:02<00:01, 5.04it/s] 65%|██████▌ | 15/23 [00:02<00:01, 4.96it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.98it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.94it/s] 78%|███████▊ | 18/23 [00:03<00:01, 4.95it/s] 83%|████████▎ | 19/23 [00:03<00:00, 4.95it/s] 87%|████████▋ | 20/23 [00:04<00:00, 4.99it/s] 91%|█████████▏| 21/23 [00:04<00:00, 5.02it/s] 96%|█████████▌| 22/23 [00:04<00:00, 4.97it/s] 100%|██████████| 23/23 [00:04<00:00, 5.02it/s] 100%|██████████| 23/23 [00:04<00:00, 5.00it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 4.64it/s] 9%|▊ | 2/23 [00:00<00:04, 4.86it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.91it/s] 17%|█▋ | 4/23 [00:00<00:03, 4.93it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.95it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.88it/s] 30%|███ | 7/23 [00:01<00:03, 4.91it/s] 35%|███▍ | 8/23 [00:01<00:03, 4.96it/s] 39%|███▉ | 9/23 [00:01<00:02, 4.95it/s] 43%|████▎ | 10/23 [00:02<00:02, 4.98it/s] 48%|████▊ | 11/23 [00:02<00:02, 4.99it/s] 52%|█████▏ | 12/23 [00:02<00:02, 5.00it/s] 57%|█████▋ | 13/23 [00:02<00:02, 5.00it/s] 61%|██████ | 14/23 [00:02<00:01, 5.00it/s] 65%|██████▌ | 15/23 [00:03<00:01, 4.99it/s] 70%|██████▉ | 16/23 [00:03<00:01, 4.98it/s] 74%|███████▍ | 17/23 [00:03<00:01, 4.98it/s] 78%|███████▊ | 18/23 [00:03<00:00, 5.03it/s] 83%|████████▎ | 19/23 [00:03<00:00, 5.00it/s] 87%|████████▋ | 20/23 [00:04<00:00, 5.04it/s] 91%|█████████▏| 21/23 [00:04<00:00, 5.06it/s] 96%|█████████▌| 22/23 [00:04<00:00, 5.05it/s] 100%|██████████| 23/23 [00:04<00:00, 5.03it/s] 100%|██████████| 23/23 [00:04<00:00, 4.98it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s Finished.