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Survivor with Yunjue Kemono Mix
yunjue-kemono-mix:v5.0
evevalentine2017
evevalentine2017
·
Mar 8
385
Input
prompt
Specify things to see in the output
(Masterpiece), (best quality), (absurdres), award winning, pupils, bright pupils, tiger furry, ruins, ancient, tattered robes, solo, 1 boy, post-apocalyptic, desolate, overgrown,
negative_prompt
Specify things to not see in the output
EasyNegativeV2, bad-hands-5, boring_e621_v4, (more than 2 arms), (more than 2 legs), (more than 2 hands), (more than 2 feet), (more than 2 shoes), kid, child, underage, nudity, nude, nipples, boring_e621_fluffyrock_v4, badyiffymix35, worstquality, bad anatomy, bad proportions, out of focus, multiple people, bad hands, mutated hands and fingers, too many fingers, missing fingers, NSFW, (worst quality:1.5), (low quality:1.5), (normal quality:1.5), (poor quality:1.5), lowres, polar lowres, ((monochrome)), ((grayscale)), low res, drawing, ugly,
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.
762872164
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
Restart
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
kl-f8-anime2_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)
badyiffymix41.safetensors
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
boring_e621_v4.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/46c136ca2f8444fbb83ec5aa72939a4c/00000-762872164.webp
https://files.tungsten.run/uploads/53e27cc727bf4240923b2e4cd617f26e/00001-762872165.webp
https://files.tungsten.run/uploads/86000658db32417f838772e3864d4baa/00002-762872166.webp
https://files.tungsten.run/uploads/5e5cdf83bddd415cafb7d66564ac292f/00003-762872167.webp
Finished in 141.6 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: (Masterpiece), (best quality), (absurdres), award winning, pupils, bright pupils, tiger furry, ruins, ancient, tattered robes, solo, 1 boy, post-apocalyptic, desolate, overgrown, Full negative prompt: EasyNegativeV2, bad-hands-5, boring_e621_v4, (more than 2 arms), (more than 2 legs), (more than 2 hands), (more than 2 feet), (more than 2 shoes), kid, child, underage, nudity, nude, nipples, boring_e621_fluffyrock_v4, badyiffymix35, worstquality, bad anatomy, bad proportions, out of focus, multiple people, bad hands, mutated hands and fingers, too many fingers, missing fingers, NSFW, (worst quality:1.5), (low quality:1.5), (normal quality:1.5), (poor quality:1.5), lowres, polar lowres, ((monochrome)), ((grayscale)), low res, drawing, ugly, 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<00:51, 1.32s/it] 5%|▌ | 2/40 [00:02<00:48, 1.29s/it] 8%|▊ | 3/40 [00:03<00:47, 1.28s/it] 10%|█ | 4/40 [00:05<00:46, 1.28s/it] 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72%|███████▎ | 29/40 [00:37<00:14, 1.28s/it] 75%|███████▌ | 30/40 [00:38<00:12, 1.28s/it] 78%|███████▊ | 31/40 [00:39<00:11, 1.28s/it] 80%|████████ | 32/40 [00:40<00:10, 1.28s/it] 82%|████████▎ | 33/40 [00:42<00:08, 1.28s/it] 85%|████████▌ | 34/40 [00:43<00:07, 1.28s/it] 88%|████████▊ | 35/40 [00:44<00:06, 1.28s/it] 90%|█████████ | 36/40 [00:46<00:05, 1.27s/it] 92%|█████████▎| 37/40 [00:47<00:03, 1.27s/it] 95%|█████████▌| 38/40 [00:48<00:02, 1.28s/it] 98%|█████████▊| 39/40 [00:49<00:01, 1.27s/it] 100%|██████████| 40/40 [00:50<00:00, 1.08s/it] 100%|██████████| 40/40 [00:50<00:00, 1.26s/it] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.4ms Speed: 3.0ms preprocess, 7.4ms inference, 31.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:10, 1.71it/s] 11%|█ | 2/19 [00:00<00:08, 2.11it/s] 16%|█▌ | 3/19 [00:01<00:06, 2.29it/s] 21%|██ | 4/19 [00:01<00:06, 2.36it/s] 26%|██▋ | 5/19 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[00:01<00:05, 2.54it/s] 26%|██▋ | 5/19 [00:01<00:05, 2.56it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.56it/s] 37%|███▋ | 7/19 [00:02<00:04, 2.53it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.52it/s] 47%|████▋ | 9/19 [00:03<00:04, 2.50it/s] 53%|█████▎ | 10/19 [00:03<00:03, 2.51it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.50it/s] 63%|██████▎ | 12/19 [00:04<00:02, 2.51it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.53it/s] 74%|███████▎ | 14/19 [00:05<00:01, 2.53it/s] 79%|███████▉ | 15/19 [00:05<00:01, 2.54it/s] 84%|████████▍ | 16/19 [00:06<00:01, 2.55it/s] 89%|████████▉ | 17/19 [00:06<00:00, 2.54it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.52it/s] 100%|██████████| 19/19 [00:07<00:00, 2.95it/s] 100%|██████████| 19/19 [00:07<00:00, 2.59it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.9ms 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, 2.55it/s] 11%|█ | 2/19 [00:00<00:06, 2.56it/s] 16%|█▌ | 3/19 [00:01<00:06, 2.55it/s] 21%|██ | 4/19 [00:01<00:05, 2.53it/s] 26%|██▋ | 5/19 [00:01<00:05, 2.53it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.54it/s] 37%|███▋ | 7/19 [00:02<00:04, 2.53it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.51it/s] 47%|████▋ | 9/19 [00:03<00:03, 2.51it/s] 53%|█████▎ | 10/19 [00:03<00:03, 2.51it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.52it/s] 63%|██████▎ | 12/19 [00:04<00:02, 2.51it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.48it/s] 74%|███████▎ | 14/19 [00:05<00:02, 2.47it/s] 79%|███████▉ | 15/19 [00:05<00:01, 2.48it/s] 84%|████████▍ | 16/19 [00:06<00:01, 2.50it/s] 89%|████████▉ | 17/19 [00:06<00:00, 2.51it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.51it/s] 100%|██████████| 19/19 [00:07<00:00, 2.96it/s] 100%|██████████| 19/19 [00:07<00:00, 2.58it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.3ms Speed: 3.0ms preprocess, 7.3ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:07, 2.49it/s] 11%|█ | 2/19 [00:00<00:06, 2.47it/s] 16%|█▌ | 3/19 [00:01<00:06, 2.49it/s] 21%|██ | 4/19 [00:01<00:06, 2.48it/s] 26%|██▋ | 5/19 [00:02<00:05, 2.49it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.51it/s] 37%|███▋ | 7/19 [00:02<00:04, 2.51it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.52it/s] 47%|████▋ | 9/19 [00:03<00:04, 2.50it/s] 53%|█████▎ | 10/19 [00:04<00:03, 2.47it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.48it/s] 63%|██████▎ | 12/19 [00:04<00:02, 2.49it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.50it/s] 74%|███████▎ | 14/19 [00:05<00:01, 2.51it/s] 79%|███████▉ | 15/19 [00:06<00:01, 2.51it/s] 84%|████████▍ | 16/19 [00:06<00:01, 2.51it/s] 89%|████████▉ | 17/19 [00:06<00:00, 2.48it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.47it/s] 100%|██████████| 19/19 [00:07<00:00, 2.91it/s] 100%|██████████| 19/19 [00:07<00:00, 2.56it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:07, 2.52it/s] 11%|█ | 2/19 [00:00<00:06, 2.54it/s] 16%|█▌ | 3/19 [00:01<00:06, 2.54it/s] 21%|██ | 4/19 [00:01<00:05, 2.55it/s] 26%|██▋ | 5/19 [00:01<00:05, 2.54it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.52it/s] 37%|███▋ | 7/19 [00:02<00:04, 2.53it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.53it/s] 47%|████▋ | 9/19 [00:03<00:03, 2.54it/s] 53%|█████▎ | 10/19 [00:03<00:03, 2.55it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.55it/s] 63%|██████▎ | 12/19 [00:04<00:02, 2.54it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.54it/s] 74%|███████▎ | 14/19 [00:05<00:01, 2.53it/s] 79%|███████▉ | 15/19 [00:05<00:01, 2.54it/s] 84%|████████▍ | 16/19 [00:06<00:01, 2.53it/s] 89%|████████▉ | 17/19 [00:06<00:00, 2.54it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.54it/s] 100%|██████████| 19/19 [00:07<00:00, 2.96it/s] 100%|██████████| 19/19 [00:07<00:00, 2.60it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.8ms preprocess, 7.3ms 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, 2.46it/s] 11%|█ | 2/19 [00:00<00:06, 2.47it/s] 16%|█▌ | 3/19 [00:01<00:06, 2.50it/s] 21%|██ | 4/19 [00:01<00:05, 2.53it/s] 26%|██▋ | 5/19 [00:01<00:05, 2.52it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.52it/s] 37%|███▋ | 7/19 [00:02<00:04, 2.52it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.52it/s] 47%|████▋ | 9/19 [00:03<00:03, 2.53it/s] 53%|█████▎ | 10/19 [00:03<00:03, 2.54it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.54it/s] 63%|██████▎ | 12/19 [00:04<00:02, 2.55it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.52it/s] 74%|███████▎ | 14/19 [00:05<00:01, 2.53it/s] 79%|███████▉ | 15/19 [00:05<00:01, 2.52it/s] 84%|████████▍ | 16/19 [00:06<00:01, 2.52it/s] 89%|████████▉ | 17/19 [00:06<00:00, 2.54it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.50it/s] 100%|██████████| 19/19 [00:07<00:00, 2.94it/s] 100%|██████████| 19/19 [00:07<00:00, 2.59it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 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<00:06, 2.57it/s] 11%|█ | 2/19 [00:00<00:06, 2.56it/s] 16%|█▌ | 3/19 [00:01<00:06, 2.55it/s] 21%|██ | 4/19 [00:01<00:05, 2.53it/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, 2.51it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.51it/s] 47%|████▋ | 9/19 [00:03<00:03, 2.51it/s] 53%|█████▎ | 10/19 [00:03<00:03, 2.52it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.49it/s] 63%|██████▎ | 12/19 [00:04<00:02, 2.51it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.51it/s] 74%|███████▎ | 14/19 [00:05<00:01, 2.51it/s] 79%|███████▉ | 15/19 [00:05<00:01, 2.52it/s] 84%|████████▍ | 16/19 [00:06<00:01, 2.54it/s] 89%|████████▉ | 17/19 [00:06<00:00, 2.54it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.52it/s] 100%|██████████| 19/19 [00:07<00:00, 2.97it/s] 100%|██████████| 19/19 [00:07<00:00, 2.59it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:07, 2.55it/s] 11%|█ | 2/19 [00:00<00:06, 2.55it/s] 16%|█▌ | 3/19 [00:01<00:06, 2.55it/s] 21%|██ | 4/19 [00:01<00:05, 2.55it/s] 26%|██▋ | 5/19 [00:01<00:05, 2.55it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.56it/s] 37%|███▋ | 7/19 [00:02<00:04, 2.56it/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, 2.54it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.54it/s] 63%|██████▎ | 12/19 [00:04<00:02, 2.54it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.52it/s] 74%|███████▎ | 14/19 [00:05<00:02, 2.48it/s] 79%|███████▉ | 15/19 [00:05<00:01, 2.49it/s] 84%|████████▍ | 16/19 [00:06<00:01, 2.49it/s] 89%|████████▉ | 17/19 [00:06<00:00, 2.48it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.47it/s] 100%|██████████| 19/19 [00:07<00:00, 2.89it/s] 100%|██████████| 19/19 [00:07<00:00, 2.58it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 2.7ms preprocess, 7.4ms 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, 2.41it/s] 11%|█ | 2/19 [00:00<00:06, 2.48it/s] 16%|█▌ | 3/19 [00:01<00:06, 2.44it/s] 21%|██ | 4/19 [00:01<00:06, 2.42it/s] 26%|██▋ | 5/19 [00:02<00:05, 2.43it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.45it/s] 37%|███▋ | 7/19 [00:02<00:04, 2.46it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.47it/s] 47%|████▋ | 9/19 [00:03<00:04, 2.49it/s] 53%|█████▎ | 10/19 [00:04<00:03, 2.50it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.52it/s] 63%|██████▎ | 12/19 [00:04<00:02, 2.50it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.50it/s] 74%|███████▎ | 14/19 [00:05<00:01, 2.52it/s] 79%|███████▉ | 15/19 [00:06<00:01, 2.53it/s] 84%|████████▍ | 16/19 [00:06<00:01, 2.55it/s] 89%|████████▉ | 17/19 [00:06<00:00, 2.53it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.50it/s] 100%|██████████| 19/19 [00:07<00:00, 2.95it/s] 100%|██████████| 19/19 [00:07<00:00, 2.56it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.0ms Speed: 2.7ms preprocess, 7.0ms 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
(Masterpiece), (best quality), (absurdres), award winning, pupils, bright pupils, tiger furry, ruins, ancient, tattered robes, solo, 1 boy, post-apocalyptic, desolate, overgrown,
negative_prompt
Specify things to not see in the output
EasyNegativeV2, bad-hands-5, boring_e621_v4, (more than 2 arms), (more than 2 legs), (more than 2 hands), (more than 2 feet), (more than 2 shoes), kid, child, underage, nudity, nude, nipples, boring_e621_fluffyrock_v4, badyiffymix35, worstquality, bad anatomy, bad proportions, out of focus, multiple people, bad hands, mutated hands and fingers, too many fingers, missing fingers, NSFW, (worst quality:1.5), (low quality:1.5), (normal quality:1.5), (poor quality:1.5), lowres, polar lowres, ((monochrome)), ((grayscale)), low res, drawing, ugly,
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.
762872164
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
Restart
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
kl-f8-anime2_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)
badyiffymix41.safetensors
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
boring_e621_v4.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/46c136ca2f8444fbb83ec5aa72939a4c/00000-762872164.webp
https://files.tungsten.run/uploads/53e27cc727bf4240923b2e4cd617f26e/00001-762872165.webp
https://files.tungsten.run/uploads/86000658db32417f838772e3864d4baa/00002-762872166.webp
https://files.tungsten.run/uploads/5e5cdf83bddd415cafb7d66564ac292f/00003-762872167.webp
Finished in 141.6 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: (Masterpiece), (best quality), (absurdres), award winning, pupils, bright pupils, tiger furry, ruins, ancient, tattered robes, solo, 1 boy, post-apocalyptic, desolate, overgrown, Full negative prompt: EasyNegativeV2, bad-hands-5, boring_e621_v4, (more than 2 arms), (more than 2 legs), (more than 2 hands), (more than 2 feet), (more than 2 shoes), kid, child, underage, nudity, nude, nipples, boring_e621_fluffyrock_v4, badyiffymix35, worstquality, bad anatomy, bad proportions, out of focus, multiple people, bad hands, mutated hands and fingers, too many fingers, missing fingers, NSFW, (worst quality:1.5), (low quality:1.5), (normal quality:1.5), (poor quality:1.5), lowres, polar lowres, ((monochrome)), ((grayscale)), low res, drawing, ugly, 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<00:51, 1.32s/it] 5%|▌ | 2/40 [00:02<00:48, 1.29s/it] 8%|▊ | 3/40 [00:03<00:47, 1.28s/it] 10%|█ | 4/40 [00:05<00:46, 1.28s/it] 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72%|███████▎ | 29/40 [00:37<00:14, 1.28s/it] 75%|███████▌ | 30/40 [00:38<00:12, 1.28s/it] 78%|███████▊ | 31/40 [00:39<00:11, 1.28s/it] 80%|████████ | 32/40 [00:40<00:10, 1.28s/it] 82%|████████▎ | 33/40 [00:42<00:08, 1.28s/it] 85%|████████▌ | 34/40 [00:43<00:07, 1.28s/it] 88%|████████▊ | 35/40 [00:44<00:06, 1.28s/it] 90%|█████████ | 36/40 [00:46<00:05, 1.27s/it] 92%|█████████▎| 37/40 [00:47<00:03, 1.27s/it] 95%|█████████▌| 38/40 [00:48<00:02, 1.28s/it] 98%|█████████▊| 39/40 [00:49<00:01, 1.27s/it] 100%|██████████| 40/40 [00:50<00:00, 1.08s/it] 100%|██████████| 40/40 [00:50<00:00, 1.26s/it] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.4ms Speed: 3.0ms preprocess, 7.4ms inference, 31.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:10, 1.71it/s] 11%|█ | 2/19 [00:00<00:08, 2.11it/s] 16%|█▌ | 3/19 [00:01<00:06, 2.29it/s] 21%|██ | 4/19 [00:01<00:06, 2.36it/s] 26%|██▋ | 5/19 [00:02<00:05, 2.44it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.48it/s] 37%|███▋ | 7/19 [00:02<00:04, 2.51it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.50it/s] 47%|████▋ | 9/19 [00:03<00:04, 2.50it/s] 53%|█████▎ | 10/19 [00:04<00:03, 2.49it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.50it/s] 63%|██████▎ | 12/19 [00:04<00:02, 2.50it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.51it/s] 74%|███████▎ | 14/19 [00:05<00:01, 2.51it/s] 79%|███████▉ | 15/19 [00:06<00:01, 2.51it/s] 84%|████████▍ | 16/19 [00:06<00:01, 2.53it/s] 89%|████████▉ | 17/19 [00:06<00:00, 2.54it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.55it/s] 100%|██████████| 19/19 [00:07<00:00, 3.00it/s] 100%|██████████| 19/19 [00:07<00:00, 2.53it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.3ms Speed: 3.0ms preprocess, 7.3ms inference, 2.0ms 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, 2.56it/s] 16%|█▌ | 3/19 [00:01<00:06, 2.51it/s] 21%|██ | 4/19 [00:01<00:05, 2.53it/s] 26%|██▋ | 5/19 [00:01<00:05, 2.55it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.56it/s] 37%|███▋ | 7/19 [00:02<00:04, 2.53it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.52it/s] 47%|████▋ | 9/19 [00:03<00:03, 2.53it/s] 53%|█████▎ | 10/19 [00:03<00:03, 2.55it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.53it/s] 63%|██████▎ | 12/19 [00:04<00:02, 2.50it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.49it/s] 74%|███████▎ | 14/19 [00:05<00:02, 2.48it/s] 79%|███████▉ | 15/19 [00:05<00:01, 2.51it/s] 84%|████████▍ | 16/19 [00:06<00:01, 2.49it/s] 89%|████████▉ | 17/19 [00:06<00:00, 2.50it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.51it/s] 100%|██████████| 19/19 [00:07<00:00, 2.96it/s] 100%|██████████| 19/19 [00:07<00:00, 2.59it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:07, 2.39it/s] 11%|█ | 2/19 [00:00<00:06, 2.49it/s] 16%|█▌ | 3/19 [00:01<00:06, 2.53it/s] 21%|██ | 4/19 [00:01<00:05, 2.54it/s] 26%|██▋ | 5/19 [00:01<00:05, 2.56it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.56it/s] 37%|███▋ | 7/19 [00:02<00:04, 2.53it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.52it/s] 47%|████▋ | 9/19 [00:03<00:04, 2.50it/s] 53%|█████▎ | 10/19 [00:03<00:03, 2.51it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.50it/s] 63%|██████▎ | 12/19 [00:04<00:02, 2.51it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.53it/s] 74%|███████▎ | 14/19 [00:05<00:01, 2.53it/s] 79%|███████▉ | 15/19 [00:05<00:01, 2.54it/s] 84%|████████▍ | 16/19 [00:06<00:01, 2.55it/s] 89%|████████▉ | 17/19 [00:06<00:00, 2.54it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.52it/s] 100%|██████████| 19/19 [00:07<00:00, 2.95it/s] 100%|██████████| 19/19 [00:07<00:00, 2.59it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.9ms 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, 2.55it/s] 11%|█ | 2/19 [00:00<00:06, 2.56it/s] 16%|█▌ | 3/19 [00:01<00:06, 2.55it/s] 21%|██ | 4/19 [00:01<00:05, 2.53it/s] 26%|██▋ | 5/19 [00:01<00:05, 2.53it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.54it/s] 37%|███▋ | 7/19 [00:02<00:04, 2.53it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.51it/s] 47%|████▋ | 9/19 [00:03<00:03, 2.51it/s] 53%|█████▎ | 10/19 [00:03<00:03, 2.51it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.52it/s] 63%|██████▎ | 12/19 [00:04<00:02, 2.51it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.48it/s] 74%|███████▎ | 14/19 [00:05<00:02, 2.47it/s] 79%|███████▉ | 15/19 [00:05<00:01, 2.48it/s] 84%|████████▍ | 16/19 [00:06<00:01, 2.50it/s] 89%|████████▉ | 17/19 [00:06<00:00, 2.51it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.51it/s] 100%|██████████| 19/19 [00:07<00:00, 2.96it/s] 100%|██████████| 19/19 [00:07<00:00, 2.58it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.3ms Speed: 3.0ms preprocess, 7.3ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:07, 2.49it/s] 11%|█ | 2/19 [00:00<00:06, 2.47it/s] 16%|█▌ | 3/19 [00:01<00:06, 2.49it/s] 21%|██ | 4/19 [00:01<00:06, 2.48it/s] 26%|██▋ | 5/19 [00:02<00:05, 2.49it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.51it/s] 37%|███▋ | 7/19 [00:02<00:04, 2.51it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.52it/s] 47%|████▋ | 9/19 [00:03<00:04, 2.50it/s] 53%|█████▎ | 10/19 [00:04<00:03, 2.47it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.48it/s] 63%|██████▎ | 12/19 [00:04<00:02, 2.49it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.50it/s] 74%|███████▎ | 14/19 [00:05<00:01, 2.51it/s] 79%|███████▉ | 15/19 [00:06<00:01, 2.51it/s] 84%|████████▍ | 16/19 [00:06<00:01, 2.51it/s] 89%|████████▉ | 17/19 [00:06<00:00, 2.48it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.47it/s] 100%|██████████| 19/19 [00:07<00:00, 2.91it/s] 100%|██████████| 19/19 [00:07<00:00, 2.56it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:07, 2.52it/s] 11%|█ | 2/19 [00:00<00:06, 2.54it/s] 16%|█▌ | 3/19 [00:01<00:06, 2.54it/s] 21%|██ | 4/19 [00:01<00:05, 2.55it/s] 26%|██▋ | 5/19 [00:01<00:05, 2.54it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.52it/s] 37%|███▋ | 7/19 [00:02<00:04, 2.53it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.53it/s] 47%|████▋ | 9/19 [00:03<00:03, 2.54it/s] 53%|█████▎ | 10/19 [00:03<00:03, 2.55it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.55it/s] 63%|██████▎ | 12/19 [00:04<00:02, 2.54it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.54it/s] 74%|███████▎ | 14/19 [00:05<00:01, 2.53it/s] 79%|███████▉ | 15/19 [00:05<00:01, 2.54it/s] 84%|████████▍ | 16/19 [00:06<00:01, 2.53it/s] 89%|████████▉ | 17/19 [00:06<00:00, 2.54it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.54it/s] 100%|██████████| 19/19 [00:07<00:00, 2.96it/s] 100%|██████████| 19/19 [00:07<00:00, 2.60it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.8ms preprocess, 7.3ms 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, 2.46it/s] 11%|█ | 2/19 [00:00<00:06, 2.47it/s] 16%|█▌ | 3/19 [00:01<00:06, 2.50it/s] 21%|██ | 4/19 [00:01<00:05, 2.53it/s] 26%|██▋ | 5/19 [00:01<00:05, 2.52it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.52it/s] 37%|███▋ | 7/19 [00:02<00:04, 2.52it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.52it/s] 47%|████▋ | 9/19 [00:03<00:03, 2.53it/s] 53%|█████▎ | 10/19 [00:03<00:03, 2.54it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.54it/s] 63%|██████▎ | 12/19 [00:04<00:02, 2.55it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.52it/s] 74%|███████▎ | 14/19 [00:05<00:01, 2.53it/s] 79%|███████▉ | 15/19 [00:05<00:01, 2.52it/s] 84%|████████▍ | 16/19 [00:06<00:01, 2.52it/s] 89%|████████▉ | 17/19 [00:06<00:00, 2.54it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.50it/s] 100%|██████████| 19/19 [00:07<00:00, 2.94it/s] 100%|██████████| 19/19 [00:07<00:00, 2.59it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 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<00:06, 2.57it/s] 11%|█ | 2/19 [00:00<00:06, 2.56it/s] 16%|█▌ | 3/19 [00:01<00:06, 2.55it/s] 21%|██ | 4/19 [00:01<00:05, 2.53it/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, 2.51it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.51it/s] 47%|████▋ | 9/19 [00:03<00:03, 2.51it/s] 53%|█████▎ | 10/19 [00:03<00:03, 2.52it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.49it/s] 63%|██████▎ | 12/19 [00:04<00:02, 2.51it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.51it/s] 74%|███████▎ | 14/19 [00:05<00:01, 2.51it/s] 79%|███████▉ | 15/19 [00:05<00:01, 2.52it/s] 84%|████████▍ | 16/19 [00:06<00:01, 2.54it/s] 89%|████████▉ | 17/19 [00:06<00:00, 2.54it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.52it/s] 100%|██████████| 19/19 [00:07<00:00, 2.97it/s] 100%|██████████| 19/19 [00:07<00:00, 2.59it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:07, 2.55it/s] 11%|█ | 2/19 [00:00<00:06, 2.55it/s] 16%|█▌ | 3/19 [00:01<00:06, 2.55it/s] 21%|██ | 4/19 [00:01<00:05, 2.55it/s] 26%|██▋ | 5/19 [00:01<00:05, 2.55it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.56it/s] 37%|███▋ | 7/19 [00:02<00:04, 2.56it/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, 2.54it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.54it/s] 63%|██████▎ | 12/19 [00:04<00:02, 2.54it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.52it/s] 74%|███████▎ | 14/19 [00:05<00:02, 2.48it/s] 79%|███████▉ | 15/19 [00:05<00:01, 2.49it/s] 84%|████████▍ | 16/19 [00:06<00:01, 2.49it/s] 89%|████████▉ | 17/19 [00:06<00:00, 2.48it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.47it/s] 100%|██████████| 19/19 [00:07<00:00, 2.89it/s] 100%|██████████| 19/19 [00:07<00:00, 2.58it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 2.7ms preprocess, 7.4ms 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, 2.41it/s] 11%|█ | 2/19 [00:00<00:06, 2.48it/s] 16%|█▌ | 3/19 [00:01<00:06, 2.44it/s] 21%|██ | 4/19 [00:01<00:06, 2.42it/s] 26%|██▋ | 5/19 [00:02<00:05, 2.43it/s] 32%|███▏ | 6/19 [00:02<00:05, 2.45it/s] 37%|███▋ | 7/19 [00:02<00:04, 2.46it/s] 42%|████▏ | 8/19 [00:03<00:04, 2.47it/s] 47%|████▋ | 9/19 [00:03<00:04, 2.49it/s] 53%|█████▎ | 10/19 [00:04<00:03, 2.50it/s] 58%|█████▊ | 11/19 [00:04<00:03, 2.52it/s] 63%|██████▎ | 12/19 [00:04<00:02, 2.50it/s] 68%|██████▊ | 13/19 [00:05<00:02, 2.50it/s] 74%|███████▎ | 14/19 [00:05<00:01, 2.52it/s] 79%|███████▉ | 15/19 [00:06<00:01, 2.53it/s] 84%|████████▍ | 16/19 [00:06<00:01, 2.55it/s] 89%|████████▉ | 17/19 [00:06<00:00, 2.53it/s] 95%|█████████▍| 18/19 [00:07<00:00, 2.50it/s] 100%|██████████| 19/19 [00:07<00:00, 2.95it/s] 100%|██████████| 19/19 [00:07<00:00, 2.56it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.0ms Speed: 2.7ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Uploading outputs... Finished.