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Weird Masks with Realisian
realisian:v5.0
evevalentine2017
evevalentine2017
·
12/28/2023
353
Input
prompt
Specify things to see in the output
<lora:yomama_jaw_titan-10:0.8>, yomama_jaw_titan, open mouth, sharp teeth, head focus, blonde hair, night scene, glowing eyes, <lora:add_detail:0.8>,
negative_prompt
Specify things to not see in the output
((girl)), ((black hair:2)), ((portrait:2)), ((focus on face:2)), nsfw, 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)
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
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
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.
3614532514
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++ 2M SDE Karras
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
4
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
blessed2_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
add_detail.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
FaceBeauty_qinglong_V3.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
yomama_jaw_titan-10.safetensors
embedding_1
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_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
badhandv4.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-picture-chill-32v.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/3d8792e38e0a4a86b41b6440437e2195/00000-3614532514.webp
https://files.tungsten.run/uploads/fe697e97128b40edbc5f5cd5c3231da2/00001-3614532515.webp
https://files.tungsten.run/uploads/2a96d4358be64503a0cc2f5843be4c61/00002-3614532516.webp
https://files.tungsten.run/uploads/84d4cb9add924a178967626785ed1314/00003-3614532517.webp
Finished in 119.1 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: <lora:yomama_jaw_titan-10:0.8>, yomama_jaw_titan, open mouth, sharp teeth, head focus, blonde hair, night scene, glowing eyes, Full negative prompt: ((girl)), ((black hair:2)), ((portrait:2)), ((focus on face:2)), nsfw, 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<00:51, 1.77s/it] 7%|▋ | 2/30 [00:03<00:49, 1.78s/it] 10%|█ | 3/30 [00:05<00:47, 1.77s/it] 13%|█▎ | 4/30 [00:07<00:46, 1.79s/it] 17%|█▋ | 5/30 [00:09<00:45, 1.84s/it] 20%|██ | 6/30 [00:10<00:44, 1.84s/it] 23%|██▎ | 7/30 [00:12<00:41, 1.80s/it] 27%|██▋ | 8/30 [00:14<00:39, 1.79s/it] 30%|███ | 9/30 [00:16<00:38, 1.81s/it] 33%|███▎ | 10/30 [00:18<00:36, 1.80s/it] 37%|███▋ | 11/30 [00:19<00:34, 1.80s/it] 40%|████ | 12/30 [00:21<00:32, 1.78s/it] 43%|████▎ | 13/30 [00:23<00:30, 1.78s/it] 47%|████▋ | 14/30 [00:24<00:27, 1.69s/it] 50%|█████ | 15/30 [00:26<00:25, 1.67s/it] 53%|█████▎ | 16/30 [00:27<00:22, 1.62s/it] 57%|█████▋ | 17/30 [00:29<00:20, 1.61s/it] 60%|██████ | 18/30 [00:31<00:19, 1.63s/it] 63%|██████▎ | 19/30 [00:32<00:17, 1.62s/it] 67%|██████▋ | 20/30 [00:34<00:16, 1.65s/it] 70%|███████ | 21/30 [00:36<00:14, 1.63s/it] 73%|███████▎ | 22/30 [00:37<00:13, 1.65s/it] 77%|███████▋ | 23/30 [00:39<00:10, 1.57s/it] 80%|████████ | 24/30 [00:40<00:09, 1.52s/it] 83%|████████▎ | 25/30 [00:42<00:07, 1.53s/it] 87%|████████▋ | 26/30 [00:43<00:06, 1.57s/it] 90%|█████████ | 27/30 [00:45<00:04, 1.57s/it] 93%|█████████▎| 28/30 [00:46<00:03, 1.56s/it] 97%|█████████▋| 29/30 [00:47<00:01, 1.37s/it] 100%|██████████| 30/30 [00:48<00:00, 1.15s/it] 100%|██████████| 30/30 [00:48<00:00, 1.62s/it] Decoding latents in cuda:0... =========================================== A tensor with all NaNs was produced in VAE. Converted VAE into 32-bit float and retry. =========================================== done in 1.94s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.7ms Speed: 3.8ms preprocess, 7.7ms inference, 22.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:08, 1.91it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.24it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.45it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.48it/s] 29%|██▉ | 5/17 [00:02<00:04, 2.48it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.50it/s] 41%|████ | 7/17 [00:02<00:04, 2.46it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.50it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.48it/s] 59%|█████▉ | 10/17 [00:04<00:02, 2.63it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.71it/s] 71%|███████ | 12/17 [00:04<00:01, 2.70it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.64it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.63it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.65it/s] 94%|█████████▍| 16/17 [00:06<00:00, 3.04it/s] 100%|██████████| 17/17 [00:06<00:00, 3.65it/s] 100%|██████████| 17/17 [00:06<00:00, 2.72it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.4ms Speed: 3.0ms preprocess, 7.4ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.62it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.66it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.70it/s] 24%|██▎ | 4/17 [00:01<00:04, 2.67it/s] 29%|██▉ | 5/17 [00:01<00:04, 2.62it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.63it/s] 41%|████ | 7/17 [00:02<00:03, 2.57it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.60it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.54it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.70it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.78it/s] 71%|███████ | 12/17 [00:04<00:01, 2.78it/s] 76%|███████▋ | 13/17 [00:04<00:01, 2.72it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.73it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.72it/s] 94%|█████████▍| 16/17 [00:05<00:00, 3.11it/s] 100%|██████████| 17/17 [00:05<00:00, 3.72it/s] 100%|██████████| 17/17 [00:05<00:00, 2.85it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 2.7ms preprocess, 7.4ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:05, 2.71it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.65it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.69it/s] 24%|██▎ | 4/17 [00:01<00:04, 2.65it/s] 29%|██▉ | 5/17 [00:01<00:04, 2.59it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.58it/s] 41%|████ | 7/17 [00:02<00:03, 2.53it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.54it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.52it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.66it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.74it/s] 71%|███████ | 12/17 [00:04<00:01, 2.72it/s] 76%|███████▋ | 13/17 [00:04<00:01, 2.66it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.67it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.69it/s] 94%|█████████▍| 16/17 [00:05<00:00, 3.07it/s] 100%|██████████| 17/17 [00:06<00:00, 3.69it/s] 100%|██████████| 17/17 [00:06<00:00, 2.82it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 9.8ms Speed: 3.2ms preprocess, 9.8ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:05, 2.70it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.67it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.68it/s] 24%|██▎ | 4/17 [00:01<00:04, 2.63it/s] 29%|██▉ | 5/17 [00:01<00:04, 2.56it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.58it/s] 41%|████ | 7/17 [00:02<00:03, 2.51it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.55it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.52it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.66it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.74it/s] 71%|███████ | 12/17 [00:04<00:01, 2.72it/s] 76%|███████▋ | 13/17 [00:04<00:01, 2.66it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.67it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.69it/s] 94%|█████████▍| 16/17 [00:05<00:00, 3.07it/s] 100%|██████████| 17/17 [00:06<00:00, 3.68it/s] 100%|██████████| 17/17 [00:06<00:00, 2.81it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 2.6ms preprocess, 7.6ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:05, 2.76it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.73it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.73it/s] 24%|██▎ | 4/17 [00:01<00:04, 2.68it/s] 29%|██▉ | 5/17 [00:01<00:04, 2.60it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.62it/s] 41%|████ | 7/17 [00:02<00:03, 2.58it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.61it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.59it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.73it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.81it/s] 71%|███████ | 12/17 [00:04<00:01, 2.79it/s] 76%|███████▋ | 13/17 [00:04<00:01, 2.72it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.70it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.72it/s] 94%|█████████▍| 16/17 [00:05<00:00, 3.10it/s] 100%|██████████| 17/17 [00:05<00:00, 3.69it/s] 100%|██████████| 17/17 [00:05<00:00, 2.86it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.2ms Speed: 2.9ms preprocess, 7.2ms inference, 2.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.65it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.62it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.69it/s] 24%|██▎ | 4/17 [00:01<00:04, 2.66it/s] 29%|██▉ | 5/17 [00:01<00:04, 2.59it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.59it/s] 41%|████ | 7/17 [00:02<00:03, 2.53it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.56it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.53it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.67it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.76it/s] 71%|███████ | 12/17 [00:04<00:01, 2.74it/s] 76%|███████▋ | 13/17 [00:04<00:01, 2.67it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.68it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.69it/s] 94%|█████████▍| 16/17 [00:05<00:00, 3.06it/s] 100%|██████████| 17/17 [00:06<00:00, 3.67it/s] 100%|██████████| 17/17 [00:06<00:00, 2.82it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.64it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.63it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.69it/s] 24%|██▎ | 4/17 [00:01<00:04, 2.64it/s] 29%|██▉ | 5/17 [00:01<00:04, 2.59it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.58it/s] 41%|████ | 7/17 [00:02<00:03, 2.51it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.55it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.51it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.66it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.74it/s] 71%|███████ | 12/17 [00:04<00:01, 2.71it/s] 76%|███████▋ | 13/17 [00:04<00:01, 2.66it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.67it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.69it/s] 94%|█████████▍| 16/17 [00:05<00:00, 3.07it/s] 100%|██████████| 17/17 [00:06<00:00, 3.69it/s] 100%|██████████| 17/17 [00:06<00:00, 2.81it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 2.6ms preprocess, 7.4ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.63it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.61it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.68it/s] 24%|██▎ | 4/17 [00:01<00:04, 2.63it/s] 29%|██▉ | 5/17 [00:01<00:04, 2.59it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.59it/s] 41%|████ | 7/17 [00:02<00:03, 2.53it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.53it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.51it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.66it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.73it/s] 71%|███████ | 12/17 [00:04<00:01, 2.72it/s] 76%|███████▋ | 13/17 [00:04<00:01, 2.66it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.66it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.68it/s] 94%|█████████▍| 16/17 [00:05<00:00, 3.06it/s] 100%|██████████| 17/17 [00:06<00:00, 3.67it/s] 100%|██████████| 17/17 [00:06<00:00, 2.80it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.2ms Speed: 2.9ms preprocess, 7.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Uploading outputs... Finished.
prompt
Specify things to see in the output
<lora:yomama_jaw_titan-10:0.8>, yomama_jaw_titan, open mouth, sharp teeth, head focus, blonde hair, night scene, glowing eyes, <lora:add_detail:0.8>,
negative_prompt
Specify things to not see in the output
((girl)), ((black hair:2)), ((portrait:2)), ((focus on face:2)), nsfw, 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)
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
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
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.
3614532514
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++ 2M SDE Karras
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
4
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
blessed2_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
add_detail.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
FaceBeauty_qinglong_V3.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
yomama_jaw_titan-10.safetensors
embedding_1
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_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
badhandv4.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-picture-chill-32v.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/3d8792e38e0a4a86b41b6440437e2195/00000-3614532514.webp
https://files.tungsten.run/uploads/fe697e97128b40edbc5f5cd5c3231da2/00001-3614532515.webp
https://files.tungsten.run/uploads/2a96d4358be64503a0cc2f5843be4c61/00002-3614532516.webp
https://files.tungsten.run/uploads/84d4cb9add924a178967626785ed1314/00003-3614532517.webp
Finished in 119.1 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: <lora:yomama_jaw_titan-10:0.8>, yomama_jaw_titan, open mouth, sharp teeth, head focus, blonde hair, night scene, glowing eyes, Full negative prompt: ((girl)), ((black hair:2)), ((portrait:2)), ((focus on face:2)), nsfw, 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<00:51, 1.77s/it] 7%|▋ | 2/30 [00:03<00:49, 1.78s/it] 10%|█ | 3/30 [00:05<00:47, 1.77s/it] 13%|█▎ | 4/30 [00:07<00:46, 1.79s/it] 17%|█▋ | 5/30 [00:09<00:45, 1.84s/it] 20%|██ | 6/30 [00:10<00:44, 1.84s/it] 23%|██▎ | 7/30 [00:12<00:41, 1.80s/it] 27%|██▋ | 8/30 [00:14<00:39, 1.79s/it] 30%|███ | 9/30 [00:16<00:38, 1.81s/it] 33%|███▎ | 10/30 [00:18<00:36, 1.80s/it] 37%|███▋ | 11/30 [00:19<00:34, 1.80s/it] 40%|████ | 12/30 [00:21<00:32, 1.78s/it] 43%|████▎ | 13/30 [00:23<00:30, 1.78s/it] 47%|████▋ | 14/30 [00:24<00:27, 1.69s/it] 50%|█████ | 15/30 [00:26<00:25, 1.67s/it] 53%|█████▎ | 16/30 [00:27<00:22, 1.62s/it] 57%|█████▋ | 17/30 [00:29<00:20, 1.61s/it] 60%|██████ | 18/30 [00:31<00:19, 1.63s/it] 63%|██████▎ | 19/30 [00:32<00:17, 1.62s/it] 67%|██████▋ | 20/30 [00:34<00:16, 1.65s/it] 70%|███████ | 21/30 [00:36<00:14, 1.63s/it] 73%|███████▎ | 22/30 [00:37<00:13, 1.65s/it] 77%|███████▋ | 23/30 [00:39<00:10, 1.57s/it] 80%|████████ | 24/30 [00:40<00:09, 1.52s/it] 83%|████████▎ | 25/30 [00:42<00:07, 1.53s/it] 87%|████████▋ | 26/30 [00:43<00:06, 1.57s/it] 90%|█████████ | 27/30 [00:45<00:04, 1.57s/it] 93%|█████████▎| 28/30 [00:46<00:03, 1.56s/it] 97%|█████████▋| 29/30 [00:47<00:01, 1.37s/it] 100%|██████████| 30/30 [00:48<00:00, 1.15s/it] 100%|██████████| 30/30 [00:48<00:00, 1.62s/it] Decoding latents in cuda:0... =========================================== A tensor with all NaNs was produced in VAE. Converted VAE into 32-bit float and retry. =========================================== done in 1.94s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.7ms Speed: 3.8ms preprocess, 7.7ms inference, 22.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:08, 1.91it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.24it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.45it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.48it/s] 29%|██▉ | 5/17 [00:02<00:04, 2.48it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.50it/s] 41%|████ | 7/17 [00:02<00:04, 2.46it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.50it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.48it/s] 59%|█████▉ | 10/17 [00:04<00:02, 2.63it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.71it/s] 71%|███████ | 12/17 [00:04<00:01, 2.70it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.64it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.63it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.65it/s] 94%|█████████▍| 16/17 [00:06<00:00, 3.04it/s] 100%|██████████| 17/17 [00:06<00:00, 3.65it/s] 100%|██████████| 17/17 [00:06<00:00, 2.72it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.4ms Speed: 3.0ms preprocess, 7.4ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.62it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.66it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.70it/s] 24%|██▎ | 4/17 [00:01<00:04, 2.67it/s] 29%|██▉ | 5/17 [00:01<00:04, 2.62it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.63it/s] 41%|████ | 7/17 [00:02<00:03, 2.57it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.60it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.54it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.70it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.78it/s] 71%|███████ | 12/17 [00:04<00:01, 2.78it/s] 76%|███████▋ | 13/17 [00:04<00:01, 2.72it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.73it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.72it/s] 94%|█████████▍| 16/17 [00:05<00:00, 3.11it/s] 100%|██████████| 17/17 [00:05<00:00, 3.72it/s] 100%|██████████| 17/17 [00:05<00:00, 2.85it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 2.7ms preprocess, 7.4ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:05, 2.71it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.65it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.69it/s] 24%|██▎ | 4/17 [00:01<00:04, 2.65it/s] 29%|██▉ | 5/17 [00:01<00:04, 2.59it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.58it/s] 41%|████ | 7/17 [00:02<00:03, 2.53it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.54it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.52it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.66it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.74it/s] 71%|███████ | 12/17 [00:04<00:01, 2.72it/s] 76%|███████▋ | 13/17 [00:04<00:01, 2.66it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.67it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.69it/s] 94%|█████████▍| 16/17 [00:05<00:00, 3.07it/s] 100%|██████████| 17/17 [00:06<00:00, 3.69it/s] 100%|██████████| 17/17 [00:06<00:00, 2.82it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 9.8ms Speed: 3.2ms preprocess, 9.8ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:05, 2.70it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.67it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.68it/s] 24%|██▎ | 4/17 [00:01<00:04, 2.63it/s] 29%|██▉ | 5/17 [00:01<00:04, 2.56it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.58it/s] 41%|████ | 7/17 [00:02<00:03, 2.51it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.55it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.52it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.66it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.74it/s] 71%|███████ | 12/17 [00:04<00:01, 2.72it/s] 76%|███████▋ | 13/17 [00:04<00:01, 2.66it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.67it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.69it/s] 94%|█████████▍| 16/17 [00:05<00:00, 3.07it/s] 100%|██████████| 17/17 [00:06<00:00, 3.68it/s] 100%|██████████| 17/17 [00:06<00:00, 2.81it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 2.6ms preprocess, 7.6ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:05, 2.76it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.73it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.73it/s] 24%|██▎ | 4/17 [00:01<00:04, 2.68it/s] 29%|██▉ | 5/17 [00:01<00:04, 2.60it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.62it/s] 41%|████ | 7/17 [00:02<00:03, 2.58it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.61it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.59it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.73it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.81it/s] 71%|███████ | 12/17 [00:04<00:01, 2.79it/s] 76%|███████▋ | 13/17 [00:04<00:01, 2.72it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.70it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.72it/s] 94%|█████████▍| 16/17 [00:05<00:00, 3.10it/s] 100%|██████████| 17/17 [00:05<00:00, 3.69it/s] 100%|██████████| 17/17 [00:05<00:00, 2.86it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.2ms Speed: 2.9ms preprocess, 7.2ms inference, 2.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.65it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.62it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.69it/s] 24%|██▎ | 4/17 [00:01<00:04, 2.66it/s] 29%|██▉ | 5/17 [00:01<00:04, 2.59it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.59it/s] 41%|████ | 7/17 [00:02<00:03, 2.53it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.56it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.53it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.67it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.76it/s] 71%|███████ | 12/17 [00:04<00:01, 2.74it/s] 76%|███████▋ | 13/17 [00:04<00:01, 2.67it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.68it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.69it/s] 94%|█████████▍| 16/17 [00:05<00:00, 3.06it/s] 100%|██████████| 17/17 [00:06<00:00, 3.67it/s] 100%|██████████| 17/17 [00:06<00:00, 2.82it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.64it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.63it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.69it/s] 24%|██▎ | 4/17 [00:01<00:04, 2.64it/s] 29%|██▉ | 5/17 [00:01<00:04, 2.59it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.58it/s] 41%|████ | 7/17 [00:02<00:03, 2.51it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.55it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.51it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.66it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.74it/s] 71%|███████ | 12/17 [00:04<00:01, 2.71it/s] 76%|███████▋ | 13/17 [00:04<00:01, 2.66it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.67it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.69it/s] 94%|█████████▍| 16/17 [00:05<00:00, 3.07it/s] 100%|██████████| 17/17 [00:06<00:00, 3.69it/s] 100%|██████████| 17/17 [00:06<00:00, 2.81it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 2.6ms preprocess, 7.4ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.63it/s] 12%|█▏ | 2/17 [00:00<00:05, 2.61it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.68it/s] 24%|██▎ | 4/17 [00:01<00:04, 2.63it/s] 29%|██▉ | 5/17 [00:01<00:04, 2.59it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.59it/s] 41%|████ | 7/17 [00:02<00:03, 2.53it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.53it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.51it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.66it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.73it/s] 71%|███████ | 12/17 [00:04<00:01, 2.72it/s] 76%|███████▋ | 13/17 [00:04<00:01, 2.66it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.66it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.68it/s] 94%|█████████▍| 16/17 [00:05<00:00, 3.06it/s] 100%|██████████| 17/17 [00:06<00:00, 3.67it/s] 100%|██████████| 17/17 [00:06<00:00, 2.80it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.2ms Speed: 2.9ms preprocess, 7.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Uploading outputs... Finished.