tungsten-logo
Sign In
Horrific Makeups with Picx
picx:v1.0
evevalentine2017
evevalentine2017
·
Jan 5
353
Input
prompt
Specify things to see in the output
(masterpiece, high quality, horror:1.3), (solo:1.1), toxic crusaders style, a digital arf of a green mutant girl, cover of a deathcore band, Extreme detail, photorealistic, morbid, paper texture
negative_prompt
Specify things to not see in the output
(deformed, distorted, disfigured:1.3), 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
num_outputs
Number of output images
4
width
Output image width
768
height
Output image height
768
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
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.
4220237035
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
40
cfg_scale
Scale for classifier-free guidance
7
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>
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)
EasyNegativeV2.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
negative_hand-neg.pt
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.
false
Output
https://files.tungsten.run/uploads/57f96e15bd0b417085ad3125b0644a4d/00000-4220237035.webp
https://files.tungsten.run/uploads/6a11c7e96bce49cdb950707782aa8f16/00001-4220237036.webp
https://files.tungsten.run/uploads/b7f7450a53ed498ea2cd97b2c56f45d0/00002-4220237037.webp
https://files.tungsten.run/uploads/37d08837cdee470691047e424b1217d0/00003-4220237038.webp
Finished in 126.4 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: (masterpiece, high quality, horror:1.3), (solo:1.1), toxic crusaders style, a digital arf of a green mutant girl, cover of a deathcore band, Extreme detail, photorealistic, morbid, paper texture Full negative prompt: (deformed, distorted, disfigured:1.3), 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 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<00:50, 1.29s/it] 5%|▌ | 2/40 [00:02<00:55, 1.47s/it] 8%|▊ | 3/40 [00:04<01:00, 1.64s/it] 10%|█ | 4/40 [00:06<01:02, 1.73s/it] 12%|█▎ | 5/40 [00:08<01:01, 1.75s/it] 15%|█▌ | 6/40 [00:10<01:00, 1.79s/it] 18%|█▊ | 7/40 [00:11<00:57, 1.74s/it] 20%|██ | 8/40 [00:13<00:54, 1.72s/it] 22%|██▎ | 9/40 [00:15<00:54, 1.76s/it] 25%|██▌ | 10/40 [00:17<00:52, 1.76s/it] 28%|██▊ | 11/40 [00:18<00:51, 1.76s/it] 30%|███ | 12/40 [00:20<00:49, 1.75s/it] 32%|███▎ | 13/40 [00:22<00:47, 1.76s/it] 35%|███▌ | 14/40 [00:24<00:45, 1.76s/it] 38%|███▊ | 15/40 [00:25<00:43, 1.75s/it] 40%|████ | 16/40 [00:27<00:41, 1.73s/it] 42%|████▎ | 17/40 [00:29<00:40, 1.75s/it] 45%|████▌ | 18/40 [00:31<00:38, 1.76s/it] 48%|████▊ | 19/40 [00:32<00:36, 1.75s/it] 50%|█████ | 20/40 [00:34<00:34, 1.72s/it] 52%|█████▎ | 21/40 [00:36<00:31, 1.66s/it] 55%|█████▌ | 22/40 [00:37<00:30, 1.67s/it] 57%|█████▊ | 23/40 [00:39<00:28, 1.68s/it] 60%|██████ | 24/40 [00:41<00:26, 1.66s/it] 62%|██████▎ | 25/40 [00:42<00:24, 1.62s/it] 65%|██████▌ | 26/40 [00:44<00:23, 1.67s/it] 68%|██████▊ | 27/40 [00:46<00:21, 1.65s/it] 70%|███████ | 28/40 [00:47<00:19, 1.66s/it] 72%|███████▎ | 29/40 [00:49<00:17, 1.59s/it] 75%|███████▌ | 30/40 [00:50<00:15, 1.60s/it] 78%|███████▊ | 31/40 [00:52<00:14, 1.60s/it] 80%|████████ | 32/40 [00:53<00:12, 1.55s/it] 82%|████████▎ | 33/40 [00:55<00:10, 1.56s/it] 85%|████████▌ | 34/40 [00:56<00:08, 1.50s/it] 88%|████████▊ | 35/40 [00:58<00:07, 1.53s/it] 90%|█████████ | 36/40 [00:59<00:05, 1.49s/it] 92%|█████████▎| 37/40 [01:01<00:04, 1.47s/it] 95%|█████████▌| 38/40 [01:02<00:02, 1.42s/it] 98%|█████████▊| 39/40 [01:03<00:01, 1.23s/it] 100%|██████████| 40/40 [01:03<00:00, 1.05s/it] 100%|██████████| 40/40 [01:03<00:00, 1.60s/it] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.5ms Speed: 2.8ms preprocess, 7.5ms inference, 22.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:09, 1.83it/s] 11%|█ | 2/19 [00:00<00:07, 2.17it/s] 16%|█▌ | 3/19 [00:01<00:06, 2.36it/s] 21%|██ | 4/19 [00:01<00:06, 2.49it/s] 26%|██▋ | 5/19 [00:02<00:05, 2.42it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.47it/s] 37%|███▋ | 7/19 [00:02<00:04, 2.47it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.60it/s] 47%|████▋ | 9/19 [00:03<00:03, 2.58it/s] 53%|█████▎ | 10/19 [00:04<00:03, 2.57it/s] 58%|█████▊ | 11/19 [00:04<00:02, 2.69it/s] 63%|██████▎ | 12/19 [00:04<00:02, 2.67it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.79it/s] 74%|███████▎ | 14/19 [00:05<00:01, 2.71it/s] 79%|███████▉ | 15/19 [00:05<00:01, 2.80it/s] 84%|████████▍ | 16/19 [00:06<00:01, 2.84it/s] 89%|████████▉ | 17/19 [00:06<00:00, 2.94it/s] 95%|█████████▍| 18/19 [00:06<00:00, 3.41it/s] 100%|██████████| 19/19 [00:06<00:00, 4.03it/s] 100%|██████████| 19/19 [00:06<00:00, 2.80it/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 0.43s Move latents to cpu... done in 0.22s 0: 640x640 (no detections), 8.2ms Speed: 3.7ms preprocess, 8.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 7.1ms Speed: 2.7ms preprocess, 7.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:07, 2.50it/s] 11%|█ | 2/19 [00:00<00:06, 2.50it/s] 16%|█▌ | 3/19 [00:01<00:06, 2.57it/s] 21%|██ | 4/19 [00:01<00:05, 2.65it/s] 26%|██▋ | 5/19 [00:01<00:05, 2.54it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.55it/s] 37%|███▋ | 7/19 [00:02<00:04, 2.53it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.64it/s] 47%|████▋ | 9/19 [00:03<00:03, 2.63it/s] 53%|█████▎ | 10/19 [00:03<00:03, 2.62it/s] 58%|█████▊ | 11/19 [00:04<00:02, 2.74it/s] 63%|██████▎ | 12/19 [00:04<00:02, 2.72it/s] 68%|██████▊ | 13/19 [00:04<00:02, 2.83it/s] 74%|███████▎ | 14/19 [00:05<00:01, 2.76it/s] 79%|███████▉ | 15/19 [00:05<00:01, 2.84it/s] 84%|████████▍ | 16/19 [00:05<00:01, 2.89it/s] 89%|████████▉ | 17/19 [00:06<00:00, 2.98it/s] 95%|█████████▍| 18/19 [00:06<00:00, 3.47it/s] 100%|██████████| 19/19 [00:06<00:00, 4.09it/s] 100%|██████████| 19/19 [00:06<00:00, 2.90it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 6.9ms Speed: 2.6ms preprocess, 6.9ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:07, 2.47it/s] 11%|█ | 2/19 [00:00<00:06, 2.46it/s] 16%|█▌ | 3/19 [00:01<00:06, 2.54it/s] 21%|██ | 4/19 [00:01<00:05, 2.60it/s] 26%|██▋ | 5/19 [00:01<00:05, 2.50it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.52it/s] 37%|███▋ | 7/19 [00:02<00:04, 2.50it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.63it/s] 47%|████▋ | 9/19 [00:03<00:03, 2.61it/s] 53%|█████▎ | 10/19 [00:03<00:03, 2.60it/s] 58%|█████▊ | 11/19 [00:04<00:02, 2.71it/s] 63%|██████▎ | 12/19 [00:04<00:02, 2.69it/s] 68%|██████▊ | 13/19 [00:04<00:02, 2.82it/s] 74%|███████▎ | 14/19 [00:05<00:01, 2.74it/s] 79%|███████▉ | 15/19 [00:05<00:01, 2.82it/s] 84%|████████▍ | 16/19 [00:05<00:01, 2.87it/s] 89%|████████▉ | 17/19 [00:06<00:00, 2.97it/s] 95%|█████████▍| 18/19 [00:06<00:00, 3.46it/s] 100%|██████████| 19/19 [00:06<00:00, 4.09it/s] 100%|██████████| 19/19 [00:06<00:00, 2.87it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:07, 2.51it/s] 11%|█ | 2/19 [00:00<00:06, 2.50it/s] 16%|█▌ | 3/19 [00:01<00:06, 2.56it/s] 21%|██ | 4/19 [00:01<00:05, 2.64it/s] 26%|██▋ | 5/19 [00:01<00:05, 2.53it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.55it/s] 37%|███▋ | 7/19 [00:02<00:04, 2.53it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.66it/s] 47%|████▋ | 9/19 [00:03<00:03, 2.65it/s] 53%|█████▎ | 10/19 [00:03<00:03, 2.63it/s] 58%|█████▊ | 11/19 [00:04<00:02, 2.73it/s] 63%|██████▎ | 12/19 [00:04<00:02, 2.72it/s] 68%|██████▊ | 13/19 [00:04<00:02, 2.84it/s] 74%|███████▎ | 14/19 [00:05<00:01, 2.75it/s] 79%|███████▉ | 15/19 [00:05<00:01, 2.85it/s] 84%|████████▍ | 16/19 [00:05<00:01, 2.88it/s] 89%|████████▉ | 17/19 [00:06<00:00, 2.99it/s] 95%|█████████▍| 18/19 [00:06<00:00, 3.48it/s] 100%|██████████| 19/19 [00:06<00:00, 4.11it/s] 100%|██████████| 19/19 [00:06<00:00, 2.90it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.8ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:07, 2.53it/s] 11%|█ | 2/19 [00:00<00:06, 2.50it/s] 16%|█▌ | 3/19 [00:01<00:06, 2.56it/s] 21%|██ | 4/19 [00:01<00:05, 2.63it/s] 26%|██▋ | 5/19 [00:01<00:05, 2.51it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.52it/s] 37%|███▋ | 7/19 [00:02<00:04, 2.50it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.63it/s] 47%|████▋ | 9/19 [00:03<00:03, 2.62it/s] 53%|█████▎ | 10/19 [00:03<00:03, 2.59it/s] 58%|█████▊ | 11/19 [00:04<00:02, 2.70it/s] 63%|██████▎ | 12/19 [00:04<00:02, 2.68it/s] 68%|██████▊ | 13/19 [00:04<00:02, 2.80it/s] 74%|███████▎ | 14/19 [00:05<00:01, 2.70it/s] 79%|███████▉ | 15/19 [00:05<00:01, 2.78it/s] 84%|████████▍ | 16/19 [00:05<00:01, 2.84it/s] 89%|████████▉ | 17/19 [00:06<00:00, 2.93it/s] 95%|█████████▍| 18/19 [00:06<00:00, 3.42it/s] 100%|██████████| 19/19 [00:06<00:00, 4.05it/s] 100%|██████████| 19/19 [00:06<00:00, 2.86it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.4ms Speed: 2.6ms preprocess, 7.4ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 1 face, 7.1ms Speed: 2.7ms preprocess, 7.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:07, 2.54it/s] 11%|█ | 2/19 [00:00<00:06, 2.53it/s] 16%|█▌ | 3/19 [00:01<00:06, 2.51it/s] 21%|██ | 4/19 [00:01<00:05, 2.60it/s] 26%|██▋ | 5/19 [00:01<00:05, 2.51it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.53it/s] 37%|███▋ | 7/19 [00:02<00:04, 2.52it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.65it/s] 47%|████▋ | 9/19 [00:03<00:03, 2.63it/s] 53%|█████▎ | 10/19 [00:03<00:03, 2.62it/s] 58%|█████▊ | 11/19 [00:04<00:02, 2.73it/s] 63%|██████▎ | 12/19 [00:04<00:02, 2.71it/s] 68%|██████▊ | 13/19 [00:04<00:02, 2.81it/s] 74%|███████▎ | 14/19 [00:05<00:01, 2.71it/s] 79%|███████▉ | 15/19 [00:05<00:01, 2.79it/s] 84%|████████▍ | 16/19 [00:05<00:01, 2.82it/s] 89%|████████▉ | 17/19 [00:06<00:00, 2.90it/s] 95%|█████████▍| 18/19 [00:06<00:00, 3.39it/s] 100%|██████████| 19/19 [00:06<00:00, 4.01it/s] 100%|██████████| 19/19 [00:06<00:00, 2.87it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 6.8ms Speed: 2.6ms preprocess, 6.8ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:07, 2.48it/s] 11%|█ | 2/19 [00:00<00:06, 2.45it/s] 16%|█▌ | 3/19 [00:01<00:06, 2.52it/s] 21%|██ | 4/19 [00:01<00:05, 2.60it/s] 26%|██▋ | 5/19 [00:01<00:05, 2.50it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.49it/s] 37%|███▋ | 7/19 [00:02<00:04, 2.45it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.56it/s] 47%|████▋ | 9/19 [00:03<00:03, 2.54it/s] 53%|█████▎ | 10/19 [00:03<00:03, 2.51it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.62it/s] 63%|██████▎ | 12/19 [00:04<00:02, 2.61it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.72it/s] 74%|███████▎ | 14/19 [00:05<00:01, 2.63it/s] 79%|███████▉ | 15/19 [00:05<00:01, 2.73it/s] 84%|████████▍ | 16/19 [00:06<00:01, 2.79it/s] 89%|████████▉ | 17/19 [00:06<00:00, 2.91it/s] 95%|█████████▍| 18/19 [00:06<00:00, 3.41it/s] 100%|██████████| 19/19 [00:06<00:00, 4.04it/s] 100%|██████████| 19/19 [00:06<00:00, 2.81it/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
(masterpiece, high quality, horror:1.3), (solo:1.1), toxic crusaders style, a digital arf of a green mutant girl, cover of a deathcore band, Extreme detail, photorealistic, morbid, paper texture
negative_prompt
Specify things to not see in the output
(deformed, distorted, disfigured:1.3), 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
num_outputs
Number of output images
4
width
Output image width
768
height
Output image height
768
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
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.
4220237035
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
40
cfg_scale
Scale for classifier-free guidance
7
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>
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)
EasyNegativeV2.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
negative_hand-neg.pt
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.
false
https://files.tungsten.run/uploads/57f96e15bd0b417085ad3125b0644a4d/00000-4220237035.webp
https://files.tungsten.run/uploads/6a11c7e96bce49cdb950707782aa8f16/00001-4220237036.webp
https://files.tungsten.run/uploads/b7f7450a53ed498ea2cd97b2c56f45d0/00002-4220237037.webp
https://files.tungsten.run/uploads/37d08837cdee470691047e424b1217d0/00003-4220237038.webp
Finished in 126.4 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: (masterpiece, high quality, horror:1.3), (solo:1.1), toxic crusaders style, a digital arf of a green mutant girl, cover of a deathcore band, Extreme detail, photorealistic, morbid, paper texture Full negative prompt: (deformed, distorted, disfigured:1.3), 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 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<00:50, 1.29s/it] 5%|▌ | 2/40 [00:02<00:55, 1.47s/it] 8%|▊ | 3/40 [00:04<01:00, 1.64s/it] 10%|█ | 4/40 [00:06<01:02, 1.73s/it] 12%|█▎ | 5/40 [00:08<01:01, 1.75s/it] 15%|█▌ | 6/40 [00:10<01:00, 1.79s/it] 18%|█▊ | 7/40 [00:11<00:57, 1.74s/it] 20%|██ | 8/40 [00:13<00:54, 1.72s/it] 22%|██▎ | 9/40 [00:15<00:54, 1.76s/it] 25%|██▌ | 10/40 [00:17<00:52, 1.76s/it] 28%|██▊ | 11/40 [00:18<00:51, 1.76s/it] 30%|███ | 12/40 [00:20<00:49, 1.75s/it] 32%|███▎ | 13/40 [00:22<00:47, 1.76s/it] 35%|███▌ | 14/40 [00:24<00:45, 1.76s/it] 38%|███▊ | 15/40 [00:25<00:43, 1.75s/it] 40%|████ | 16/40 [00:27<00:41, 1.73s/it] 42%|████▎ | 17/40 [00:29<00:40, 1.75s/it] 45%|████▌ | 18/40 [00:31<00:38, 1.76s/it] 48%|████▊ | 19/40 [00:32<00:36, 1.75s/it] 50%|█████ | 20/40 [00:34<00:34, 1.72s/it] 52%|█████▎ | 21/40 [00:36<00:31, 1.66s/it] 55%|█████▌ | 22/40 [00:37<00:30, 1.67s/it] 57%|█████▊ | 23/40 [00:39<00:28, 1.68s/it] 60%|██████ | 24/40 [00:41<00:26, 1.66s/it] 62%|██████▎ | 25/40 [00:42<00:24, 1.62s/it] 65%|██████▌ | 26/40 [00:44<00:23, 1.67s/it] 68%|██████▊ | 27/40 [00:46<00:21, 1.65s/it] 70%|███████ | 28/40 [00:47<00:19, 1.66s/it] 72%|███████▎ | 29/40 [00:49<00:17, 1.59s/it] 75%|███████▌ | 30/40 [00:50<00:15, 1.60s/it] 78%|███████▊ | 31/40 [00:52<00:14, 1.60s/it] 80%|████████ | 32/40 [00:53<00:12, 1.55s/it] 82%|████████▎ | 33/40 [00:55<00:10, 1.56s/it] 85%|████████▌ | 34/40 [00:56<00:08, 1.50s/it] 88%|████████▊ | 35/40 [00:58<00:07, 1.53s/it] 90%|█████████ | 36/40 [00:59<00:05, 1.49s/it] 92%|█████████▎| 37/40 [01:01<00:04, 1.47s/it] 95%|█████████▌| 38/40 [01:02<00:02, 1.42s/it] 98%|█████████▊| 39/40 [01:03<00:01, 1.23s/it] 100%|██████████| 40/40 [01:03<00:00, 1.05s/it] 100%|██████████| 40/40 [01:03<00:00, 1.60s/it] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.5ms Speed: 2.8ms preprocess, 7.5ms inference, 22.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:09, 1.83it/s] 11%|█ | 2/19 [00:00<00:07, 2.17it/s] 16%|█▌ | 3/19 [00:01<00:06, 2.36it/s] 21%|██ | 4/19 [00:01<00:06, 2.49it/s] 26%|██▋ | 5/19 [00:02<00:05, 2.42it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.47it/s] 37%|███▋ | 7/19 [00:02<00:04, 2.47it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.60it/s] 47%|████▋ | 9/19 [00:03<00:03, 2.58it/s] 53%|█████▎ | 10/19 [00:04<00:03, 2.57it/s] 58%|█████▊ | 11/19 [00:04<00:02, 2.69it/s] 63%|██████▎ | 12/19 [00:04<00:02, 2.67it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.79it/s] 74%|███████▎ | 14/19 [00:05<00:01, 2.71it/s] 79%|███████▉ | 15/19 [00:05<00:01, 2.80it/s] 84%|████████▍ | 16/19 [00:06<00:01, 2.84it/s] 89%|████████▉ | 17/19 [00:06<00:00, 2.94it/s] 95%|█████████▍| 18/19 [00:06<00:00, 3.41it/s] 100%|██████████| 19/19 [00:06<00:00, 4.03it/s] 100%|██████████| 19/19 [00:06<00:00, 2.80it/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 0.43s Move latents to cpu... done in 0.22s 0: 640x640 (no detections), 8.2ms Speed: 3.7ms preprocess, 8.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 7.1ms Speed: 2.7ms preprocess, 7.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:07, 2.50it/s] 11%|█ | 2/19 [00:00<00:06, 2.50it/s] 16%|█▌ | 3/19 [00:01<00:06, 2.57it/s] 21%|██ | 4/19 [00:01<00:05, 2.65it/s] 26%|██▋ | 5/19 [00:01<00:05, 2.54it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.55it/s] 37%|███▋ | 7/19 [00:02<00:04, 2.53it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.64it/s] 47%|████▋ | 9/19 [00:03<00:03, 2.63it/s] 53%|█████▎ | 10/19 [00:03<00:03, 2.62it/s] 58%|█████▊ | 11/19 [00:04<00:02, 2.74it/s] 63%|██████▎ | 12/19 [00:04<00:02, 2.72it/s] 68%|██████▊ | 13/19 [00:04<00:02, 2.83it/s] 74%|███████▎ | 14/19 [00:05<00:01, 2.76it/s] 79%|███████▉ | 15/19 [00:05<00:01, 2.84it/s] 84%|████████▍ | 16/19 [00:05<00:01, 2.89it/s] 89%|████████▉ | 17/19 [00:06<00:00, 2.98it/s] 95%|█████████▍| 18/19 [00:06<00:00, 3.47it/s] 100%|██████████| 19/19 [00:06<00:00, 4.09it/s] 100%|██████████| 19/19 [00:06<00:00, 2.90it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 6.9ms Speed: 2.6ms preprocess, 6.9ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:07, 2.47it/s] 11%|█ | 2/19 [00:00<00:06, 2.46it/s] 16%|█▌ | 3/19 [00:01<00:06, 2.54it/s] 21%|██ | 4/19 [00:01<00:05, 2.60it/s] 26%|██▋ | 5/19 [00:01<00:05, 2.50it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.52it/s] 37%|███▋ | 7/19 [00:02<00:04, 2.50it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.63it/s] 47%|████▋ | 9/19 [00:03<00:03, 2.61it/s] 53%|█████▎ | 10/19 [00:03<00:03, 2.60it/s] 58%|█████▊ | 11/19 [00:04<00:02, 2.71it/s] 63%|██████▎ | 12/19 [00:04<00:02, 2.69it/s] 68%|██████▊ | 13/19 [00:04<00:02, 2.82it/s] 74%|███████▎ | 14/19 [00:05<00:01, 2.74it/s] 79%|███████▉ | 15/19 [00:05<00:01, 2.82it/s] 84%|████████▍ | 16/19 [00:05<00:01, 2.87it/s] 89%|████████▉ | 17/19 [00:06<00:00, 2.97it/s] 95%|█████████▍| 18/19 [00:06<00:00, 3.46it/s] 100%|██████████| 19/19 [00:06<00:00, 4.09it/s] 100%|██████████| 19/19 [00:06<00:00, 2.87it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:07, 2.51it/s] 11%|█ | 2/19 [00:00<00:06, 2.50it/s] 16%|█▌ | 3/19 [00:01<00:06, 2.56it/s] 21%|██ | 4/19 [00:01<00:05, 2.64it/s] 26%|██▋ | 5/19 [00:01<00:05, 2.53it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.55it/s] 37%|███▋ | 7/19 [00:02<00:04, 2.53it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.66it/s] 47%|████▋ | 9/19 [00:03<00:03, 2.65it/s] 53%|█████▎ | 10/19 [00:03<00:03, 2.63it/s] 58%|█████▊ | 11/19 [00:04<00:02, 2.73it/s] 63%|██████▎ | 12/19 [00:04<00:02, 2.72it/s] 68%|██████▊ | 13/19 [00:04<00:02, 2.84it/s] 74%|███████▎ | 14/19 [00:05<00:01, 2.75it/s] 79%|███████▉ | 15/19 [00:05<00:01, 2.85it/s] 84%|████████▍ | 16/19 [00:05<00:01, 2.88it/s] 89%|████████▉ | 17/19 [00:06<00:00, 2.99it/s] 95%|█████████▍| 18/19 [00:06<00:00, 3.48it/s] 100%|██████████| 19/19 [00:06<00:00, 4.11it/s] 100%|██████████| 19/19 [00:06<00:00, 2.90it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.8ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:07, 2.53it/s] 11%|█ | 2/19 [00:00<00:06, 2.50it/s] 16%|█▌ | 3/19 [00:01<00:06, 2.56it/s] 21%|██ | 4/19 [00:01<00:05, 2.63it/s] 26%|██▋ | 5/19 [00:01<00:05, 2.51it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.52it/s] 37%|███▋ | 7/19 [00:02<00:04, 2.50it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.63it/s] 47%|████▋ | 9/19 [00:03<00:03, 2.62it/s] 53%|█████▎ | 10/19 [00:03<00:03, 2.59it/s] 58%|█████▊ | 11/19 [00:04<00:02, 2.70it/s] 63%|██████▎ | 12/19 [00:04<00:02, 2.68it/s] 68%|██████▊ | 13/19 [00:04<00:02, 2.80it/s] 74%|███████▎ | 14/19 [00:05<00:01, 2.70it/s] 79%|███████▉ | 15/19 [00:05<00:01, 2.78it/s] 84%|████████▍ | 16/19 [00:05<00:01, 2.84it/s] 89%|████████▉ | 17/19 [00:06<00:00, 2.93it/s] 95%|█████████▍| 18/19 [00:06<00:00, 3.42it/s] 100%|██████████| 19/19 [00:06<00:00, 4.05it/s] 100%|██████████| 19/19 [00:06<00:00, 2.86it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.4ms Speed: 2.6ms preprocess, 7.4ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 1 face, 7.1ms Speed: 2.7ms preprocess, 7.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:07, 2.54it/s] 11%|█ | 2/19 [00:00<00:06, 2.53it/s] 16%|█▌ | 3/19 [00:01<00:06, 2.51it/s] 21%|██ | 4/19 [00:01<00:05, 2.60it/s] 26%|██▋ | 5/19 [00:01<00:05, 2.51it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.53it/s] 37%|███▋ | 7/19 [00:02<00:04, 2.52it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.65it/s] 47%|████▋ | 9/19 [00:03<00:03, 2.63it/s] 53%|█████▎ | 10/19 [00:03<00:03, 2.62it/s] 58%|█████▊ | 11/19 [00:04<00:02, 2.73it/s] 63%|██████▎ | 12/19 [00:04<00:02, 2.71it/s] 68%|██████▊ | 13/19 [00:04<00:02, 2.81it/s] 74%|███████▎ | 14/19 [00:05<00:01, 2.71it/s] 79%|███████▉ | 15/19 [00:05<00:01, 2.79it/s] 84%|████████▍ | 16/19 [00:05<00:01, 2.82it/s] 89%|████████▉ | 17/19 [00:06<00:00, 2.90it/s] 95%|█████████▍| 18/19 [00:06<00:00, 3.39it/s] 100%|██████████| 19/19 [00:06<00:00, 4.01it/s] 100%|██████████| 19/19 [00:06<00:00, 2.87it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 6.8ms Speed: 2.6ms preprocess, 6.8ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:07, 2.48it/s] 11%|█ | 2/19 [00:00<00:06, 2.45it/s] 16%|█▌ | 3/19 [00:01<00:06, 2.52it/s] 21%|██ | 4/19 [00:01<00:05, 2.60it/s] 26%|██▋ | 5/19 [00:01<00:05, 2.50it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.49it/s] 37%|███▋ | 7/19 [00:02<00:04, 2.45it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.56it/s] 47%|████▋ | 9/19 [00:03<00:03, 2.54it/s] 53%|█████▎ | 10/19 [00:03<00:03, 2.51it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.62it/s] 63%|██████▎ | 12/19 [00:04<00:02, 2.61it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.72it/s] 74%|███████▎ | 14/19 [00:05<00:01, 2.63it/s] 79%|███████▉ | 15/19 [00:05<00:01, 2.73it/s] 84%|████████▍ | 16/19 [00:06<00:01, 2.79it/s] 89%|████████▉ | 17/19 [00:06<00:00, 2.91it/s] 95%|█████████▍| 18/19 [00:06<00:00, 3.41it/s] 100%|██████████| 19/19 [00:06<00:00, 4.04it/s] 100%|██████████| 19/19 [00:06<00:00, 2.81it/s] Decoding latents in cuda:0... done in 0.39s Move latents to cpu... done in 0.0s Uploading outputs... Finished.