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Christmas Viking with Chilled ReGeneric
chilled-re-generic:v2.0
evevalentine2017
evevalentine2017
·
12/26/2023
356
Input
prompt
Specify things to see in the output
(Epic artwork vector logo insane details:1.2), viking mercenary under a Christmas mistletoe, wearing yellow armor, glowing runes, undefined, snow, <lora:more_details:0.8>,
negative_prompt
Specify things to not see in the output
paintings, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, age spot, glans, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worstquality, low quality, normal quality, jpegartifacts, signature, watermark, username, blurry, bad feet, cropped, poorly drawn hands, poorly drawn face, mutation, deformed, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, extra fingers, fewer digits, extra limbs, extra arms, extra legs, malformed limbs, fused fingers, too many fingers, long neck, cross-eyed, mutated hands, polar lowres, bad body, bad proportions, gross proportions, text, error, missing fingers, missing arms, missing legs, extra digit, bad_prompt_version2-neg, verybadimagenegative_v1.3, rmadanegative4_sd15-neg
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
0.2
brightness
Adjust brightness
0.2
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.
815394960
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
25
cfg_scale
Scale for classifier-free guidance
6
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
clearvae_v2.3_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
more_details.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>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
verybadimagenegative_v1.3.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad_prompt_version2-neg.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
rmadanegative4_sd15-neg.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/6b0a0437a6f14308b2daf7cce95ef0f4/00000-815394960.webp
https://files.tungsten.run/uploads/6c9a3291a81b408c98009445cc119e83/00001-815394961.webp
https://files.tungsten.run/uploads/079962ae01154c4c930e77226f9e8165/00002-815394962.webp
https://files.tungsten.run/uploads/b6c9bc7ad3dc46efb1de347e4f91c9ed/00003-815394963.webp
Finished in 109.5 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: (Epic artwork vector logo insane details:1.2), viking mercenary under a Christmas mistletoe, wearing yellow armor, glowing runes, undefined, snow, <lora:more_details:0.8>, , <lora:add_detail:0.2>, <lora:add_brightness:0.2> Full negative prompt: paintings, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, age spot, glans, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worstquality, low quality, normal quality, jpegartifacts, signature, watermark, username, blurry, bad feet, cropped, poorly drawn hands, poorly drawn face, mutation, deformed, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, extra fingers, fewer digits, extra limbs, extra arms, extra legs, malformed limbs, fused fingers, too many fingers, long neck, cross-eyed, mutated hands, polar lowres, bad body, bad proportions, gross proportions, text, error, missing fingers, missing arms, missing legs, extra digit, bad_prompt_version2-neg, verybadimagenegative_v1.3, rmadanegative4_sd15-neg 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:01<00:45, 1.90s/it] 8%|▊ | 2/25 [00:03<00:43, 1.89s/it] 12%|█▏ | 3/25 [00:05<00:40, 1.85s/it] 16%|█▌ | 4/25 [00:07<00:39, 1.90s/it] 20%|██ | 5/25 [00:09<00:36, 1.81s/it] 24%|██▍ | 6/25 [00:10<00:33, 1.76s/it] 28%|██▊ | 7/25 [00:12<00:31, 1.77s/it] 32%|███▏ | 8/25 [00:14<00:30, 1.77s/it] 36%|███▌ | 9/25 [00:16<00:28, 1.79s/it] 40%|████ | 10/25 [00:18<00:26, 1.78s/it] 44%|████▍ | 11/25 [00:19<00:25, 1.81s/it] 48%|████▊ | 12/25 [00:21<00:23, 1.79s/it] 52%|█████▏ | 13/25 [00:23<00:20, 1.75s/it] 56%|█████▌ | 14/25 [00:25<00:19, 1.75s/it] 60%|██████ | 15/25 [00:26<00:17, 1.73s/it] 64%|██████▍ | 16/25 [00:28<00:15, 1.75s/it] 68%|██████▊ | 17/25 [00:30<00:13, 1.72s/it] 72%|███████▏ | 18/25 [00:31<00:11, 1.69s/it] 76%|███████▌ | 19/25 [00:33<00:09, 1.64s/it] 80%|████████ | 20/25 [00:35<00:08, 1.66s/it] 84%|████████▍ | 21/25 [00:36<00:06, 1.63s/it] 88%|████████▊ | 22/25 [00:38<00:04, 1.59s/it] 92%|█████████▏| 23/25 [00:39<00:02, 1.50s/it] 96%|█████████▌| 24/25 [00:40<00:01, 1.27s/it] 100%|██████████| 25/25 [00:40<00:00, 1.08s/it] 100%|██████████| 25/25 [00:40<00:00, 1.63s/it] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.9ms Speed: 3.4ms preprocess, 7.9ms inference, 24.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:09, 1.44it/s] 14%|█▍ | 2/14 [00:01<00:06, 1.82it/s] 21%|██▏ | 3/14 [00:01<00:05, 1.90it/s] 29%|██▊ | 4/14 [00:02<00:05, 1.99it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.00it/s] 43%|████▎ | 6/14 [00:03<00:03, 2.04it/s] 50%|█████ | 7/14 [00:03<00:03, 2.09it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.13it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.12it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.16it/s] 79%|███████▊ | 11/14 [00:05<00:01, 2.23it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.36it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.73it/s] 100%|██████████| 14/14 [00:06<00:00, 3.17it/s] 100%|██████████| 14/14 [00:06<00:00, 2.29it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.3ms Speed: 2.9ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:06, 1.95it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.07it/s] 21%|██▏ | 3/14 [00:01<00:05, 2.06it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.04it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.03it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.03it/s] 50%|█████ | 7/14 [00:03<00:03, 2.07it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.13it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.12it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.15it/s] 79%|███████▊ | 11/14 [00:05<00:01, 2.22it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.33it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.65it/s] 100%|██████████| 14/14 [00:06<00:00, 3.07it/s] 100%|██████████| 14/14 [00:06<00:00, 2.32it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.8ms Speed: 3.7ms preprocess, 8.8ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:06, 2.00it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.11it/s] 21%|██▏ | 3/14 [00:01<00:05, 2.07it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.08it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.06it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.08it/s] 50%|█████ | 7/14 [00:03<00:03, 2.13it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.13it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.12it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.13it/s] 79%|███████▊ | 11/14 [00:05<00:01, 2.19it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.33it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.67it/s] 100%|██████████| 14/14 [00:05<00:00, 3.11it/s] 100%|██████████| 14/14 [00:05<00:00, 2.34it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.1ms Speed: 2.8ms preprocess, 7.1ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:06, 1.99it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.11it/s] 21%|██▏ | 3/14 [00:01<00:05, 2.07it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.06it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.04it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.08it/s] 50%|█████ | 7/14 [00:03<00:03, 2.12it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.15it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.13it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.17it/s] 79%|███████▊ | 11/14 [00:05<00:01, 2.23it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.35it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.72it/s] 100%|██████████| 14/14 [00:05<00:00, 3.15it/s] 100%|██████████| 14/14 [00:05<00:00, 2.35it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.8ms Speed: 2.9ms preprocess, 7.8ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:06, 2.01it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.11it/s] 21%|██▏ | 3/14 [00:01<00:05, 2.05it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.08it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.06it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.09it/s] 50%|█████ | 7/14 [00:03<00:03, 2.13it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.18it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.14it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.18it/s] 79%|███████▊ | 11/14 [00:05<00:01, 2.23it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.35it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.71it/s] 100%|██████████| 14/14 [00:05<00:00, 3.14it/s] 100%|██████████| 14/14 [00:05<00:00, 2.36it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.4ms Speed: 3.1ms preprocess, 7.4ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:06, 1.96it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.08it/s] 21%|██▏ | 3/14 [00:01<00:05, 2.05it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.07it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.05it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.07it/s] 50%|█████ | 7/14 [00:03<00:03, 2.11it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.17it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.15it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.17it/s] 79%|███████▊ | 11/14 [00:05<00:01, 2.23it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.35it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.72it/s] 100%|██████████| 14/14 [00:05<00:00, 3.15it/s] 100%|██████████| 14/14 [00:05<00:00, 2.35it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:06, 2.00it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.11it/s] 21%|██▏ | 3/14 [00:01<00:05, 2.08it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.09it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.06it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.10it/s] 50%|█████ | 7/14 [00:03<00:03, 2.14it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.18it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.16it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.19it/s] 79%|███████▊ | 11/14 [00:05<00:01, 2.24it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.36it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.73it/s] 100%|██████████| 14/14 [00:05<00:00, 3.15it/s] 100%|██████████| 14/14 [00:05<00:00, 2.37it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.7ms Speed: 2.9ms preprocess, 7.7ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:06, 2.05it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.14it/s] 21%|██▏ | 3/14 [00:01<00:05, 2.10it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.10it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.08it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.06it/s] 50%|█████ | 7/14 [00:03<00:03, 2.11it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.17it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.16it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.20it/s] 79%|███████▊ | 11/14 [00:05<00:01, 2.26it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.37it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.74it/s] 100%|██████████| 14/14 [00:05<00:00, 3.17it/s] 100%|██████████| 14/14 [00:05<00:00, 2.37it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.5ms Speed: 2.8ms preprocess, 7.5ms inference, 0.8ms 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
(Epic artwork vector logo insane details:1.2), viking mercenary under a Christmas mistletoe, wearing yellow armor, glowing runes, undefined, snow, <lora:more_details:0.8>,
negative_prompt
Specify things to not see in the output
paintings, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, age spot, glans, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worstquality, low quality, normal quality, jpegartifacts, signature, watermark, username, blurry, bad feet, cropped, poorly drawn hands, poorly drawn face, mutation, deformed, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, extra fingers, fewer digits, extra limbs, extra arms, extra legs, malformed limbs, fused fingers, too many fingers, long neck, cross-eyed, mutated hands, polar lowres, bad body, bad proportions, gross proportions, text, error, missing fingers, missing arms, missing legs, extra digit, bad_prompt_version2-neg, verybadimagenegative_v1.3, rmadanegative4_sd15-neg
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
0.2
brightness
Adjust brightness
0.2
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.
815394960
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
25
cfg_scale
Scale for classifier-free guidance
6
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
clearvae_v2.3_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
more_details.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>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
verybadimagenegative_v1.3.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad_prompt_version2-neg.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
rmadanegative4_sd15-neg.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/6b0a0437a6f14308b2daf7cce95ef0f4/00000-815394960.webp
https://files.tungsten.run/uploads/6c9a3291a81b408c98009445cc119e83/00001-815394961.webp
https://files.tungsten.run/uploads/079962ae01154c4c930e77226f9e8165/00002-815394962.webp
https://files.tungsten.run/uploads/b6c9bc7ad3dc46efb1de347e4f91c9ed/00003-815394963.webp
Finished in 109.5 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: (Epic artwork vector logo insane details:1.2), viking mercenary under a Christmas mistletoe, wearing yellow armor, glowing runes, undefined, snow, <lora:more_details:0.8>, , <lora:add_detail:0.2>, <lora:add_brightness:0.2> Full negative prompt: paintings, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, age spot, glans, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worstquality, low quality, normal quality, jpegartifacts, signature, watermark, username, blurry, bad feet, cropped, poorly drawn hands, poorly drawn face, mutation, deformed, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, extra fingers, fewer digits, extra limbs, extra arms, extra legs, malformed limbs, fused fingers, too many fingers, long neck, cross-eyed, mutated hands, polar lowres, bad body, bad proportions, gross proportions, text, error, missing fingers, missing arms, missing legs, extra digit, bad_prompt_version2-neg, verybadimagenegative_v1.3, rmadanegative4_sd15-neg 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:01<00:45, 1.90s/it] 8%|▊ | 2/25 [00:03<00:43, 1.89s/it] 12%|█▏ | 3/25 [00:05<00:40, 1.85s/it] 16%|█▌ | 4/25 [00:07<00:39, 1.90s/it] 20%|██ | 5/25 [00:09<00:36, 1.81s/it] 24%|██▍ | 6/25 [00:10<00:33, 1.76s/it] 28%|██▊ | 7/25 [00:12<00:31, 1.77s/it] 32%|███▏ | 8/25 [00:14<00:30, 1.77s/it] 36%|███▌ | 9/25 [00:16<00:28, 1.79s/it] 40%|████ | 10/25 [00:18<00:26, 1.78s/it] 44%|████▍ | 11/25 [00:19<00:25, 1.81s/it] 48%|████▊ | 12/25 [00:21<00:23, 1.79s/it] 52%|█████▏ | 13/25 [00:23<00:20, 1.75s/it] 56%|█████▌ | 14/25 [00:25<00:19, 1.75s/it] 60%|██████ | 15/25 [00:26<00:17, 1.73s/it] 64%|██████▍ | 16/25 [00:28<00:15, 1.75s/it] 68%|██████▊ | 17/25 [00:30<00:13, 1.72s/it] 72%|███████▏ | 18/25 [00:31<00:11, 1.69s/it] 76%|███████▌ | 19/25 [00:33<00:09, 1.64s/it] 80%|████████ | 20/25 [00:35<00:08, 1.66s/it] 84%|████████▍ | 21/25 [00:36<00:06, 1.63s/it] 88%|████████▊ | 22/25 [00:38<00:04, 1.59s/it] 92%|█████████▏| 23/25 [00:39<00:02, 1.50s/it] 96%|█████████▌| 24/25 [00:40<00:01, 1.27s/it] 100%|██████████| 25/25 [00:40<00:00, 1.08s/it] 100%|██████████| 25/25 [00:40<00:00, 1.63s/it] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.9ms Speed: 3.4ms preprocess, 7.9ms inference, 24.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:09, 1.44it/s] 14%|█▍ | 2/14 [00:01<00:06, 1.82it/s] 21%|██▏ | 3/14 [00:01<00:05, 1.90it/s] 29%|██▊ | 4/14 [00:02<00:05, 1.99it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.00it/s] 43%|████▎ | 6/14 [00:03<00:03, 2.04it/s] 50%|█████ | 7/14 [00:03<00:03, 2.09it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.13it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.12it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.16it/s] 79%|███████▊ | 11/14 [00:05<00:01, 2.23it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.36it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.73it/s] 100%|██████████| 14/14 [00:06<00:00, 3.17it/s] 100%|██████████| 14/14 [00:06<00:00, 2.29it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.3ms Speed: 2.9ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:06, 1.95it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.07it/s] 21%|██▏ | 3/14 [00:01<00:05, 2.06it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.04it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.03it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.03it/s] 50%|█████ | 7/14 [00:03<00:03, 2.07it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.13it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.12it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.15it/s] 79%|███████▊ | 11/14 [00:05<00:01, 2.22it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.33it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.65it/s] 100%|██████████| 14/14 [00:06<00:00, 3.07it/s] 100%|██████████| 14/14 [00:06<00:00, 2.32it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.8ms Speed: 3.7ms preprocess, 8.8ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:06, 2.00it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.11it/s] 21%|██▏ | 3/14 [00:01<00:05, 2.07it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.08it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.06it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.08it/s] 50%|█████ | 7/14 [00:03<00:03, 2.13it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.13it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.12it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.13it/s] 79%|███████▊ | 11/14 [00:05<00:01, 2.19it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.33it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.67it/s] 100%|██████████| 14/14 [00:05<00:00, 3.11it/s] 100%|██████████| 14/14 [00:05<00:00, 2.34it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.1ms Speed: 2.8ms preprocess, 7.1ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:06, 1.99it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.11it/s] 21%|██▏ | 3/14 [00:01<00:05, 2.07it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.06it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.04it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.08it/s] 50%|█████ | 7/14 [00:03<00:03, 2.12it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.15it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.13it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.17it/s] 79%|███████▊ | 11/14 [00:05<00:01, 2.23it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.35it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.72it/s] 100%|██████████| 14/14 [00:05<00:00, 3.15it/s] 100%|██████████| 14/14 [00:05<00:00, 2.35it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.8ms Speed: 2.9ms preprocess, 7.8ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:06, 2.01it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.11it/s] 21%|██▏ | 3/14 [00:01<00:05, 2.05it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.08it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.06it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.09it/s] 50%|█████ | 7/14 [00:03<00:03, 2.13it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.18it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.14it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.18it/s] 79%|███████▊ | 11/14 [00:05<00:01, 2.23it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.35it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.71it/s] 100%|██████████| 14/14 [00:05<00:00, 3.14it/s] 100%|██████████| 14/14 [00:05<00:00, 2.36it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.4ms Speed: 3.1ms preprocess, 7.4ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:06, 1.96it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.08it/s] 21%|██▏ | 3/14 [00:01<00:05, 2.05it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.07it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.05it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.07it/s] 50%|█████ | 7/14 [00:03<00:03, 2.11it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.17it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.15it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.17it/s] 79%|███████▊ | 11/14 [00:05<00:01, 2.23it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.35it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.72it/s] 100%|██████████| 14/14 [00:05<00:00, 3.15it/s] 100%|██████████| 14/14 [00:05<00:00, 2.35it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:06, 2.00it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.11it/s] 21%|██▏ | 3/14 [00:01<00:05, 2.08it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.09it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.06it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.10it/s] 50%|█████ | 7/14 [00:03<00:03, 2.14it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.18it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.16it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.19it/s] 79%|███████▊ | 11/14 [00:05<00:01, 2.24it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.36it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.73it/s] 100%|██████████| 14/14 [00:05<00:00, 3.15it/s] 100%|██████████| 14/14 [00:05<00:00, 2.37it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.7ms Speed: 2.9ms preprocess, 7.7ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:06, 2.05it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.14it/s] 21%|██▏ | 3/14 [00:01<00:05, 2.10it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.10it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.08it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.06it/s] 50%|█████ | 7/14 [00:03<00:03, 2.11it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.17it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.16it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.20it/s] 79%|███████▊ | 11/14 [00:05<00:01, 2.26it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.37it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.74it/s] 100%|██████████| 14/14 [00:05<00:00, 3.17it/s] 100%|██████████| 14/14 [00:05<00:00, 2.37it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.5ms Speed: 2.8ms preprocess, 7.5ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Uploading outputs... Finished.