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Halloween Boy with Art Universe
art-universe:v8.0
evevalentine2017
evevalentine2017
·
Jan 6
377
Input
prompt
Specify things to see in the output
Creepy vintage Halloween A teenage Boy, Jack-o-lanterns, trick or treaters, creepy costumes, fall leaves, RAW photo, full sharp, (FullHD epic wallpaper), 8k uhd, dslr, soft lighting, high quality, film grain, Fujifilm XT3
negative_prompt
Specify things to not see in the output
more than 2 legs, nipples, nsfw, frame, canvas, low quality, medium quality, easynegative, watermark, text, username, 3d, frame, ng_deepnegative_v1_75t, bad-hands-5, (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale))
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
-0.95
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3873713365
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
28
cfg_scale
Scale for classifier-free guidance
6
clip_skip
The number of last layers of CLIP network to skip
1
vae
Select VAE
None
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)
easynegative.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-hands-5.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/c2b9d4e94b6e47688f19999b23db309e/00000-3873713365.webp
https://files.tungsten.run/uploads/9c3056da5a594f5d970f66dcfe50b34e/00001-3873713366.webp
https://files.tungsten.run/uploads/78c45a1245b94dc0a3cbd5397d0f4b7b/00002-3873713367.webp
https://files.tungsten.run/uploads/e5ed8de7daa44db1a03b3e01bf4bc69b/00003-3873713368.webp
Finished in 123.0 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: Creepy vintage Halloween A teenage Boy, Jack-o-lanterns, trick or treaters, creepy costumes, fall leaves, RAW photo, full sharp, (FullHD epic wallpaper), 8k uhd, dslr, soft lighting, high quality, film grain, Fujifilm XT3, <lora:add_saturation:-0.95> Full negative prompt: more than 2 legs, nipples, nsfw, frame, canvas, low quality, medium quality, easynegative, watermark, text, username, 3d, frame, ng_deepnegative_v1_75t, bad-hands-5, (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:47, 1.77s/it] 7%|▋ | 2/28 [00:03<00:46, 1.78s/it] 11%|█ | 3/28 [00:05<00:44, 1.78s/it] 14%|█▍ | 4/28 [00:07<00:43, 1.81s/it] 18%|█▊ | 5/28 [00:09<00:42, 1.83s/it] 21%|██▏ | 6/28 [00:10<00:39, 1.81s/it] 25%|██▌ | 7/28 [00:12<00:38, 1.81s/it] 29%|██▊ | 8/28 [00:14<00:35, 1.78s/it] 32%|███▏ | 9/28 [00:16<00:33, 1.78s/it] 36%|███▌ | 10/28 [00:18<00:32, 1.82s/it] 39%|███▉ | 11/28 [00:19<00:29, 1.76s/it] 43%|████▎ | 12/28 [00:21<00:28, 1.76s/it] 46%|████▋ | 13/28 [00:23<00:26, 1.77s/it] 50%|█████ | 14/28 [00:25<00:25, 1.80s/it] 54%|█████▎ | 15/28 [00:26<00:23, 1.79s/it] 57%|█████▋ | 16/28 [00:28<00:20, 1.72s/it] 61%|██████ | 17/28 [00:29<00:17, 1.62s/it] 64%|██████▍ | 18/28 [00:31<00:16, 1.61s/it] 68%|██████▊ | 19/28 [00:32<00:14, 1.60s/it] 71%|███████▏ | 20/28 [00:34<00:12, 1.58s/it] 75%|███████▌ | 21/28 [00:36<00:11, 1.63s/it] 79%|███████▊ | 22/28 [00:37<00:09, 1.60s/it] 82%|████████▏ | 23/28 [00:39<00:08, 1.64s/it] 86%|████████▌ | 24/28 [00:40<00:06, 1.56s/it] 89%|████████▉ | 25/28 [00:42<00:04, 1.53s/it] 93%|█████████▎| 26/28 [00:43<00:03, 1.54s/it] 96%|█████████▋| 27/28 [00:44<00:01, 1.38s/it] 100%|██████████| 28/28 [00:45<00:00, 1.15s/it] 100%|██████████| 28/28 [00:45<00:00, 1.63s/it] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.4ms Speed: 2.7ms preprocess, 7.4ms inference, 22.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:07, 1.55it/s] 15%|█▌ | 2/13 [00:01<00:05, 1.94it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.05it/s] 31%|███ | 4/13 [00:01<00:04, 2.09it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.15it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.10it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.17it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.15it/s] 69%|██████▉ | 9/13 [00:04<00:01, 2.20it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.22it/s] 85%|████████▍ | 11/13 [00:05<00:00, 2.20it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.41it/s] 100%|██████████| 13/13 [00:05<00:00, 2.85it/s] 100%|██████████| 13/13 [00:05<00:00, 2.28it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.1ms Speed: 3.0ms preprocess, 7.1ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 7.0ms Speed: 2.6ms preprocess, 7.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:05, 2.15it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.29it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.20it/s] 31%|███ | 4/13 [00:01<00:04, 2.19it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.20it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.17it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.15it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.13it/s] 69%|██████▉ | 9/13 [00:04<00:01, 2.22it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.28it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.30it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.49it/s] 100%|██████████| 13/13 [00:05<00:00, 2.94it/s] 100%|██████████| 13/13 [00:05<00:00, 2.38it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.0ms Speed: 2.6ms preprocess, 7.0ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:05, 2.20it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.33it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.32it/s] 31%|███ | 4/13 [00:01<00:03, 2.31it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.29it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.21it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.22it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.18it/s] 69%|██████▉ | 9/13 [00:04<00:01, 2.23it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.28it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.25it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.49it/s] 100%|██████████| 13/13 [00:05<00:00, 2.94it/s] 100%|██████████| 13/13 [00:05<00:00, 2.41it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:05, 2.22it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.40it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.29it/s] 31%|███ | 4/13 [00:01<00:03, 2.27it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.25it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.18it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.16it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.16it/s] 69%|██████▉ | 9/13 [00:04<00:01, 2.28it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.30it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.31it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.50it/s] 100%|██████████| 13/13 [00:05<00:00, 2.94it/s] 100%|██████████| 13/13 [00:05<00:00, 2.41it/s] Decoding latents in cuda:0... done in 0.23s 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%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:05, 2.18it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.28it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.27it/s] 31%|███ | 4/13 [00:01<00:03, 2.28it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.25it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.13it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.13it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.12it/s] 69%|██████▉ | 9/13 [00:04<00:01, 2.10it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.17it/s] 85%|████████▍ | 11/13 [00:05<00:00, 2.15it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.40it/s] 100%|██████████| 13/13 [00:05<00:00, 2.85it/s] 100%|██████████| 13/13 [00:05<00:00, 2.33it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 4 hands, 6.8ms Speed: 3.0ms preprocess, 6.8ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:05, 2.06it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.30it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.29it/s] 31%|███ | 4/13 [00:01<00:04, 2.23it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.27it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.14it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.20it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.16it/s] 69%|██████▉ | 9/13 [00:04<00:01, 2.27it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.33it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.28it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.51it/s] 100%|██████████| 13/13 [00:05<00:00, 2.96it/s] 100%|██████████| 13/13 [00:05<00:00, 2.41it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:05, 2.18it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.27it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.30it/s] 31%|███ | 4/13 [00:01<00:03, 2.28it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.30it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.23it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.23it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.21it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.27it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.32it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.30it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.49it/s] 100%|██████████| 13/13 [00:05<00:00, 2.94it/s] 100%|██████████| 13/13 [00:05<00:00, 2.42it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:05, 2.23it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.41it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.33it/s] 31%|███ | 4/13 [00:01<00:03, 2.32it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.18it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.03it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.02it/s] 62%|██████▏ | 8/13 [00:03<00:02, 1.99it/s] 69%|██████▉ | 9/13 [00:04<00:01, 2.12it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.21it/s] 85%|████████▍ | 11/13 [00:05<00:00, 2.17it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.43it/s] 100%|██████████| 13/13 [00:05<00:00, 2.88it/s] 100%|██████████| 13/13 [00:05<00:00, 2.32it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:05, 2.21it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.41it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.33it/s] 31%|███ | 4/13 [00:01<00:03, 2.32it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.27it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.21it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.23it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.19it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.30it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.32it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.30it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.50it/s] 100%|██████████| 13/13 [00:05<00:00, 2.94it/s] 100%|██████████| 13/13 [00:05<00:00, 2.43it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 2.8ms preprocess, 7.4ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:05, 2.17it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.31it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.28it/s] 31%|███ | 4/13 [00:01<00:04, 2.25it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.25it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.16it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.18it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.18it/s] 69%|██████▉ | 9/13 [00:04<00:01, 2.28it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.34it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.33it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.58it/s] 100%|██████████| 13/13 [00:05<00:00, 2.93it/s] 100%|██████████| 13/13 [00:05<00:00, 2.42it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.0ms Speed: 2.6ms preprocess, 7.0ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:05, 2.25it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.40it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.35it/s] 31%|███ | 4/13 [00:01<00:03, 2.33it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.33it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.24it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.27it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.23it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.32it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.35it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.28it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.41it/s] 100%|██████████| 13/13 [00:05<00:00, 2.86it/s] 100%|██████████| 13/13 [00:05<00:00, 2.43it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
Creepy vintage Halloween A teenage Boy, Jack-o-lanterns, trick or treaters, creepy costumes, fall leaves, RAW photo, full sharp, (FullHD epic wallpaper), 8k uhd, dslr, soft lighting, high quality, film grain, Fujifilm XT3
negative_prompt
Specify things to not see in the output
more than 2 legs, nipples, nsfw, frame, canvas, low quality, medium quality, easynegative, watermark, text, username, 3d, frame, ng_deepnegative_v1_75t, bad-hands-5, (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale))
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
-0.95
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3873713365
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
28
cfg_scale
Scale for classifier-free guidance
6
clip_skip
The number of last layers of CLIP network to skip
1
vae
Select VAE
None
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)
easynegative.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-hands-5.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/c2b9d4e94b6e47688f19999b23db309e/00000-3873713365.webp
https://files.tungsten.run/uploads/9c3056da5a594f5d970f66dcfe50b34e/00001-3873713366.webp
https://files.tungsten.run/uploads/78c45a1245b94dc0a3cbd5397d0f4b7b/00002-3873713367.webp
https://files.tungsten.run/uploads/e5ed8de7daa44db1a03b3e01bf4bc69b/00003-3873713368.webp
Finished in 123.0 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: Creepy vintage Halloween A teenage Boy, Jack-o-lanterns, trick or treaters, creepy costumes, fall leaves, RAW photo, full sharp, (FullHD epic wallpaper), 8k uhd, dslr, soft lighting, high quality, film grain, Fujifilm XT3, <lora:add_saturation:-0.95> Full negative prompt: more than 2 legs, nipples, nsfw, frame, canvas, low quality, medium quality, easynegative, watermark, text, username, 3d, frame, ng_deepnegative_v1_75t, bad-hands-5, (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:47, 1.77s/it] 7%|▋ | 2/28 [00:03<00:46, 1.78s/it] 11%|█ | 3/28 [00:05<00:44, 1.78s/it] 14%|█▍ | 4/28 [00:07<00:43, 1.81s/it] 18%|█▊ | 5/28 [00:09<00:42, 1.83s/it] 21%|██▏ | 6/28 [00:10<00:39, 1.81s/it] 25%|██▌ | 7/28 [00:12<00:38, 1.81s/it] 29%|██▊ | 8/28 [00:14<00:35, 1.78s/it] 32%|███▏ | 9/28 [00:16<00:33, 1.78s/it] 36%|███▌ | 10/28 [00:18<00:32, 1.82s/it] 39%|███▉ | 11/28 [00:19<00:29, 1.76s/it] 43%|████▎ | 12/28 [00:21<00:28, 1.76s/it] 46%|████▋ | 13/28 [00:23<00:26, 1.77s/it] 50%|█████ | 14/28 [00:25<00:25, 1.80s/it] 54%|█████▎ | 15/28 [00:26<00:23, 1.79s/it] 57%|█████▋ | 16/28 [00:28<00:20, 1.72s/it] 61%|██████ | 17/28 [00:29<00:17, 1.62s/it] 64%|██████▍ | 18/28 [00:31<00:16, 1.61s/it] 68%|██████▊ | 19/28 [00:32<00:14, 1.60s/it] 71%|███████▏ | 20/28 [00:34<00:12, 1.58s/it] 75%|███████▌ | 21/28 [00:36<00:11, 1.63s/it] 79%|███████▊ | 22/28 [00:37<00:09, 1.60s/it] 82%|████████▏ | 23/28 [00:39<00:08, 1.64s/it] 86%|████████▌ | 24/28 [00:40<00:06, 1.56s/it] 89%|████████▉ | 25/28 [00:42<00:04, 1.53s/it] 93%|█████████▎| 26/28 [00:43<00:03, 1.54s/it] 96%|█████████▋| 27/28 [00:44<00:01, 1.38s/it] 100%|██████████| 28/28 [00:45<00:00, 1.15s/it] 100%|██████████| 28/28 [00:45<00:00, 1.63s/it] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.4ms Speed: 2.7ms preprocess, 7.4ms inference, 22.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:07, 1.55it/s] 15%|█▌ | 2/13 [00:01<00:05, 1.94it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.05it/s] 31%|███ | 4/13 [00:01<00:04, 2.09it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.15it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.10it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.17it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.15it/s] 69%|██████▉ | 9/13 [00:04<00:01, 2.20it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.22it/s] 85%|████████▍ | 11/13 [00:05<00:00, 2.20it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.41it/s] 100%|██████████| 13/13 [00:05<00:00, 2.85it/s] 100%|██████████| 13/13 [00:05<00:00, 2.28it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.1ms Speed: 3.0ms preprocess, 7.1ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 7.0ms Speed: 2.6ms preprocess, 7.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:05, 2.15it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.29it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.20it/s] 31%|███ | 4/13 [00:01<00:04, 2.19it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.20it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.17it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.15it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.13it/s] 69%|██████▉ | 9/13 [00:04<00:01, 2.22it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.28it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.30it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.49it/s] 100%|██████████| 13/13 [00:05<00:00, 2.94it/s] 100%|██████████| 13/13 [00:05<00:00, 2.38it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.0ms Speed: 2.6ms preprocess, 7.0ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:05, 2.20it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.33it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.32it/s] 31%|███ | 4/13 [00:01<00:03, 2.31it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.29it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.21it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.22it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.18it/s] 69%|██████▉ | 9/13 [00:04<00:01, 2.23it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.28it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.25it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.49it/s] 100%|██████████| 13/13 [00:05<00:00, 2.94it/s] 100%|██████████| 13/13 [00:05<00:00, 2.41it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:05, 2.22it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.40it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.29it/s] 31%|███ | 4/13 [00:01<00:03, 2.27it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.25it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.18it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.16it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.16it/s] 69%|██████▉ | 9/13 [00:04<00:01, 2.28it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.30it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.31it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.50it/s] 100%|██████████| 13/13 [00:05<00:00, 2.94it/s] 100%|██████████| 13/13 [00:05<00:00, 2.41it/s] Decoding latents in cuda:0... done in 0.23s 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%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:05, 2.18it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.28it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.27it/s] 31%|███ | 4/13 [00:01<00:03, 2.28it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.25it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.13it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.13it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.12it/s] 69%|██████▉ | 9/13 [00:04<00:01, 2.10it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.17it/s] 85%|████████▍ | 11/13 [00:05<00:00, 2.15it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.40it/s] 100%|██████████| 13/13 [00:05<00:00, 2.85it/s] 100%|██████████| 13/13 [00:05<00:00, 2.33it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 4 hands, 6.8ms Speed: 3.0ms preprocess, 6.8ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:05, 2.06it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.30it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.29it/s] 31%|███ | 4/13 [00:01<00:04, 2.23it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.27it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.14it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.20it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.16it/s] 69%|██████▉ | 9/13 [00:04<00:01, 2.27it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.33it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.28it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.51it/s] 100%|██████████| 13/13 [00:05<00:00, 2.96it/s] 100%|██████████| 13/13 [00:05<00:00, 2.41it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:05, 2.18it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.27it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.30it/s] 31%|███ | 4/13 [00:01<00:03, 2.28it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.30it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.23it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.23it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.21it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.27it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.32it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.30it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.49it/s] 100%|██████████| 13/13 [00:05<00:00, 2.94it/s] 100%|██████████| 13/13 [00:05<00:00, 2.42it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:05, 2.23it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.41it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.33it/s] 31%|███ | 4/13 [00:01<00:03, 2.32it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.18it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.03it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.02it/s] 62%|██████▏ | 8/13 [00:03<00:02, 1.99it/s] 69%|██████▉ | 9/13 [00:04<00:01, 2.12it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.21it/s] 85%|████████▍ | 11/13 [00:05<00:00, 2.17it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.43it/s] 100%|██████████| 13/13 [00:05<00:00, 2.88it/s] 100%|██████████| 13/13 [00:05<00:00, 2.32it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:05, 2.21it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.41it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.33it/s] 31%|███ | 4/13 [00:01<00:03, 2.32it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.27it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.21it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.23it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.19it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.30it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.32it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.30it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.50it/s] 100%|██████████| 13/13 [00:05<00:00, 2.94it/s] 100%|██████████| 13/13 [00:05<00:00, 2.43it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 2.8ms preprocess, 7.4ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:05, 2.17it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.31it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.28it/s] 31%|███ | 4/13 [00:01<00:04, 2.25it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.25it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.16it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.18it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.18it/s] 69%|██████▉ | 9/13 [00:04<00:01, 2.28it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.34it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.33it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.58it/s] 100%|██████████| 13/13 [00:05<00:00, 2.93it/s] 100%|██████████| 13/13 [00:05<00:00, 2.42it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.0ms Speed: 2.6ms preprocess, 7.0ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:05, 2.25it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.40it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.35it/s] 31%|███ | 4/13 [00:01<00:03, 2.33it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.33it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.24it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.27it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.23it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.32it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.35it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.28it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.41it/s] 100%|██████████| 13/13 [00:05<00:00, 2.86it/s] 100%|██████████| 13/13 [00:05<00:00, 2.43it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Uploading outputs... Finished.