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Tanks Comic Style with Tamarin XL
tamarin-xl:v1.0
evevalentine2017
evevalentine2017
·
Feb 3
371
Input
prompt
Specify things to see in the output
a black and white comic book illustration of a tank on the streets of city at night, barricades on the road, Moebius (Jean Giraud), <lora:tweak-detail-xl:1>,
negative_prompt
Specify things to not see in the output
3d, octane render, blender, doll, toy, toying, plastic, sketch, painting, anime, manga, hentai, cartoon, text, monochrome, watermark, canvas frame, blurry, ugly, closed eyes, elongated body, elongated neck, out of frame, disfigured, deformed, extra fingers, fused fingers, stump fingers, extra arms, extra hands, extra feets, extra legs, mutated hands, poorly drawn hands, extra arms, extra legs, mutated hands, mutated fingers, mutation, mutated, crossed eyes, (poorly drawn face:1.5), (worst quality, low quality, normal quality:1.4), badhandv4, bad-hands-5, negative_hand-neg
num_outputs
Number of output images
3
width
Output image width
1024
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
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3422066473
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 Karras
samping_steps
Number of denoising steps
42
cfg_scale
Scale for classifier-free guidance
4.5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
None
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
tweak-detail-xl.safetensors
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)
badhandv4.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-hands-5.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
negative_hand-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/c2c69b85f8a141feb73d9abcda12637c/00000-3422066473.webp
https://files.tungsten.run/uploads/4a0b5886e6a7411a9b6d4905e1e74636/00001-3422066474.webp
https://files.tungsten.run/uploads/b01bd8b9de0f46e0bcbc3cc4fbdeb6c6/00002-3422066475.webp
Finished in 141.7 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: a black and white comic book illustration of a tank on the streets of city at night, barricades on the road, Moebius (Jean Giraud), <lora:tweak-detail-xl:1>, Full negative prompt: 3d, octane render, blender, doll, toy, toying, plastic, sketch, painting, anime, manga, hentai, cartoon, text, monochrome, watermark, canvas frame, blurry, ugly, closed eyes, elongated body, elongated neck, out of frame, disfigured, deformed, extra fingers, fused fingers, stump fingers, extra arms, extra hands, extra feets, extra legs, mutated hands, poorly drawn hands, extra arms, extra legs, mutated hands, mutated fingers, mutation, mutated, crossed eyes, (poorly drawn face:1.5), (worst quality, low quality, normal quality:1.4), badhandv4, bad-hands-5, negative_hand-neg 0%| | 0/42 [00:00<?, ?it/s] 2%|▏ | 1/42 [00:02<01:36, 2.36s/it] 5%|▍ | 2/42 [00:03<00:59, 1.50s/it] 7%|▋ | 3/42 [00:04<00:47, 1.22s/it] 10%|▉ | 4/42 [00:05<00:41, 1.09s/it] 12%|█▏ | 5/42 [00:05<00:37, 1.02s/it] 14%|█▍ | 6/42 [00:06<00:34, 1.03it/s] 17%|█▋ | 7/42 [00:07<00:33, 1.06it/s] 19%|█▉ | 8/42 [00:08<00:31, 1.08it/s] 21%|██▏ | 9/42 [00:09<00:30, 1.09it/s] 24%|██▍ | 10/42 [00:10<00:28, 1.10it/s] 26%|██▌ | 11/42 [00:11<00:27, 1.11it/s] 29%|██▊ | 12/42 [00:12<00:26, 1.12it/s] 31%|███ | 13/42 [00:13<00:25, 1.12it/s] 33%|███▎ | 14/42 [00:13<00:25, 1.12it/s] 36%|███▌ | 15/42 [00:14<00:24, 1.12it/s] 38%|███▊ | 16/42 [00:15<00:23, 1.12it/s] 40%|████ | 17/42 [00:16<00:22, 1.12it/s] 43%|████▎ | 18/42 [00:17<00:21, 1.12it/s] 45%|████▌ | 19/42 [00:18<00:20, 1.12it/s] 48%|████▊ | 20/42 [00:19<00:19, 1.12it/s] 50%|█████ | 21/42 [00:20<00:18, 1.12it/s] 52%|█████▏ | 22/42 [00:21<00:17, 1.12it/s] 55%|█████▍ | 23/42 [00:21<00:16, 1.12it/s] 57%|█████▋ | 24/42 [00:22<00:16, 1.12it/s] 60%|█████▉ | 25/42 [00:23<00:15, 1.12it/s] 62%|██████▏ | 26/42 [00:24<00:14, 1.11it/s] 64%|██████▍ | 27/42 [00:25<00:13, 1.11it/s] 67%|██████▋ | 28/42 [00:26<00:12, 1.11it/s] 69%|██████▉ | 29/42 [00:27<00:11, 1.11it/s] 71%|███████▏ | 30/42 [00:28<00:10, 1.11it/s] 74%|███████▍ | 31/42 [00:29<00:09, 1.11it/s] 76%|███████▌ | 32/42 [00:30<00:09, 1.11it/s] 79%|███████▊ | 33/42 [00:30<00:08, 1.11it/s] 81%|████████ | 34/42 [00:31<00:07, 1.11it/s] 83%|████████▎ | 35/42 [00:32<00:06, 1.11it/s] 86%|████████▌ | 36/42 [00:33<00:05, 1.11it/s] 88%|████████▊ | 37/42 [00:34<00:04, 1.11it/s] 90%|█████████ | 38/42 [00:35<00:03, 1.11it/s] 93%|█████████▎| 39/42 [00:36<00:02, 1.11it/s] 95%|█████████▌| 40/42 [00:37<00:01, 1.11it/s] 98%|█████████▊| 41/42 [00:38<00:00, 1.11it/s] 100%|██████████| 42/42 [00:39<00:00, 1.11it/s] 100%|██████████| 42/42 [00:39<00:00, 1.08it/s] Decoding latents in cuda:0... done in 1.74s Move latents to cpu... done in 0.02s 0: 480x640 1 face, 199.2ms Speed: 2.6ms preprocess, 199.2ms inference, 9.3ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:13, 1.31it/s] 11%|█ | 2/19 [00:01<00:11, 1.48it/s] 16%|█▌ | 3/19 [00:01<00:10, 1.54it/s] 21%|██ | 4/19 [00:02<00:09, 1.58it/s] 26%|██▋ | 5/19 [00:03<00:08, 1.56it/s] 32%|███▏ | 6/19 [00:03<00:08, 1.56it/s] 37%|███▋ | 7/19 [00:04<00:07, 1.52it/s] 42%|████▏ | 8/19 [00:05<00:07, 1.50it/s] 47%|████▋ | 9/19 [00:05<00:06, 1.53it/s] 53%|█████▎ | 10/19 [00:06<00:05, 1.57it/s] 58%|█████▊ | 11/19 [00:07<00:05, 1.59it/s] 63%|██████▎ | 12/19 [00:07<00:04, 1.63it/s] 68%|██████▊ | 13/19 [00:08<00:03, 1.62it/s] 74%|███████▎ | 14/19 [00:08<00:03, 1.60it/s] 79%|███████▉ | 15/19 [00:09<00:02, 1.62it/s] 84%|████████▍ | 16/19 [00:10<00:01, 1.62it/s] 89%|████████▉ | 17/19 [00:10<00:01, 1.63it/s] 95%|█████████▍| 18/19 [00:11<00:00, 1.63it/s] 100%|██████████| 19/19 [00:12<00:00, 1.63it/s] 100%|██████████| 19/19 [00:12<00:00, 1.58it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0: 480x640 (no detections), 109.5ms Speed: 2.7ms preprocess, 109.5ms inference, 0.8ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 480x640 3 faces, 8.2ms Speed: 2.3ms preprocess, 8.2ms inference, 9.7ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:10, 1.71it/s] 11%|█ | 2/19 [00:01<00:09, 1.71it/s] 16%|█▌ | 3/19 [00:01<00:09, 1.71it/s] 21%|██ | 4/19 [00:02<00:09, 1.63it/s] 26%|██▋ | 5/19 [00:03<00:08, 1.65it/s] 32%|███▏ | 6/19 [00:03<00:07, 1.65it/s] 37%|███▋ | 7/19 [00:04<00:07, 1.65it/s] 42%|████▏ | 8/19 [00:04<00:06, 1.65it/s] 47%|████▋ | 9/19 [00:05<00:06, 1.63it/s] 53%|█████▎ | 10/19 [00:06<00:05, 1.64it/s] 58%|█████▊ | 11/19 [00:06<00:04, 1.65it/s] 63%|██████▎ | 12/19 [00:07<00:04, 1.63it/s] 68%|██████▊ | 13/19 [00:07<00:03, 1.63it/s] 74%|███████▎ | 14/19 [00:08<00:03, 1.64it/s] 79%|███████▉ | 15/19 [00:09<00:02, 1.66it/s] 84%|████████▍ | 16/19 [00:09<00:01, 1.67it/s] 89%|████████▉ | 17/19 [00:10<00:01, 1.66it/s] 95%|█████████▍| 18/19 [00:10<00:00, 1.68it/s] 100%|██████████| 19/19 [00:11<00:00, 1.66it/s] 100%|██████████| 19/19 [00:11<00:00, 1.65it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:10, 1.65it/s] 11%|█ | 2/19 [00:01<00:10, 1.61it/s] 16%|█▌ | 3/19 [00:01<00:10, 1.57it/s] 21%|██ | 4/19 [00:02<00:09, 1.62it/s] 26%|██▋ | 5/19 [00:03<00:08, 1.64it/s] 32%|███▏ | 6/19 [00:03<00:07, 1.66it/s] 37%|███▋ | 7/19 [00:04<00:07, 1.65it/s] 42%|████▏ | 8/19 [00:04<00:06, 1.66it/s] 47%|████▋ | 9/19 [00:05<00:06, 1.66it/s] 53%|█████▎ | 10/19 [00:06<00:05, 1.67it/s] 58%|█████▊ | 11/19 [00:06<00:04, 1.69it/s] 63%|██████▎ | 12/19 [00:07<00:04, 1.69it/s] 68%|██████▊ | 13/19 [00:07<00:03, 1.70it/s] 74%|███████▎ | 14/19 [00:08<00:02, 1.71it/s] 79%|███████▉ | 15/19 [00:08<00:02, 1.70it/s] 84%|████████▍ | 16/19 [00:09<00:01, 1.70it/s] 89%|████████▉ | 17/19 [00:10<00:01, 1.69it/s] 95%|█████████▍| 18/19 [00:10<00:00, 1.69it/s] 100%|██████████| 19/19 [00:11<00:00, 1.66it/s] 100%|██████████| 19/19 [00:11<00:00, 1.67it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:11, 1.57it/s] 11%|█ | 2/19 [00:01<00:10, 1.59it/s] 16%|█▌ | 3/19 [00:01<00:10, 1.56it/s] 21%|██ | 4/19 [00:02<00:09, 1.62it/s] 26%|██▋ | 5/19 [00:03<00:08, 1.64it/s] 32%|███▏ | 6/19 [00:03<00:07, 1.66it/s] 37%|███▋ | 7/19 [00:04<00:07, 1.67it/s] 42%|████▏ | 8/19 [00:04<00:06, 1.68it/s] 47%|████▋ | 9/19 [00:05<00:05, 1.69it/s] 53%|█████▎ | 10/19 [00:06<00:05, 1.66it/s] 58%|█████▊ | 11/19 [00:06<00:04, 1.67it/s] 63%|██████▎ | 12/19 [00:07<00:04, 1.68it/s] 68%|██████▊ | 13/19 [00:07<00:03, 1.68it/s] 74%|███████▎ | 14/19 [00:08<00:02, 1.70it/s] 79%|███████▉ | 15/19 [00:09<00:02, 1.70it/s] 84%|████████▍ | 16/19 [00:09<00:01, 1.71it/s] 89%|████████▉ | 17/19 [00:10<00:01, 1.70it/s] 95%|█████████▍| 18/19 [00:10<00:00, 1.69it/s] 100%|██████████| 19/19 [00:11<00:00, 1.67it/s] 100%|██████████| 19/19 [00:11<00:00, 1.67it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0: 480x640 (no detections), 7.7ms Speed: 2.2ms preprocess, 7.7ms inference, 0.7ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 480x640 3 faces, 8.0ms Speed: 2.4ms preprocess, 8.0ms inference, 1.3ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:10, 1.68it/s] 11%|█ | 2/19 [00:01<00:10, 1.70it/s] 16%|█▌ | 3/19 [00:01<00:09, 1.67it/s] 21%|██ | 4/19 [00:02<00:08, 1.68it/s] 26%|██▋ | 5/19 [00:02<00:08, 1.68it/s] 32%|███▏ | 6/19 [00:03<00:07, 1.69it/s] 37%|███▋ | 7/19 [00:04<00:07, 1.69it/s] 42%|████▏ | 8/19 [00:04<00:06, 1.66it/s] 47%|████▋ | 9/19 [00:05<00:06, 1.65it/s] 53%|█████▎ | 10/19 [00:05<00:05, 1.66it/s] 58%|█████▊ | 11/19 [00:06<00:04, 1.68it/s] 63%|██████▎ | 12/19 [00:07<00:04, 1.69it/s] 68%|██████▊ | 13/19 [00:07<00:03, 1.68it/s] 74%|███████▎ | 14/19 [00:08<00:02, 1.68it/s] 79%|███████▉ | 15/19 [00:08<00:02, 1.67it/s] 84%|████████▍ | 16/19 [00:09<00:01, 1.67it/s] 89%|████████▉ | 17/19 [00:10<00:01, 1.65it/s] 95%|█████████▍| 18/19 [00:10<00:00, 1.65it/s] 100%|██████████| 19/19 [00:11<00:00, 1.66it/s] 100%|██████████| 19/19 [00:11<00:00, 1.67it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:10, 1.66it/s] 11%|█ | 2/19 [00:01<00:10, 1.66it/s] 16%|█▌ | 3/19 [00:01<00:09, 1.68it/s] 21%|██ | 4/19 [00:02<00:08, 1.70it/s] 26%|██▋ | 5/19 [00:02<00:08, 1.69it/s] 32%|███▏ | 6/19 [00:03<00:07, 1.68it/s] 37%|███▋ | 7/19 [00:04<00:07, 1.68it/s] 42%|████▏ | 8/19 [00:04<00:06, 1.69it/s] 47%|████▋ | 9/19 [00:05<00:05, 1.70it/s] 53%|█████▎ | 10/19 [00:05<00:05, 1.70it/s] 58%|█████▊ | 11/19 [00:06<00:04, 1.71it/s] 63%|██████▎ | 12/19 [00:07<00:04, 1.70it/s] 68%|██████▊ | 13/19 [00:07<00:03, 1.70it/s] 74%|███████▎ | 14/19 [00:08<00:02, 1.70it/s] 79%|███████▉ | 15/19 [00:08<00:02, 1.68it/s] 84%|████████▍ | 16/19 [00:09<00:01, 1.68it/s] 89%|████████▉ | 17/19 [00:10<00:01, 1.68it/s] 95%|█████████▍| 18/19 [00:10<00:00, 1.69it/s] 100%|██████████| 19/19 [00:11<00:00, 1.69it/s] 100%|██████████| 19/19 [00:11<00:00, 1.69it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:10, 1.68it/s] 11%|█ | 2/19 [00:01<00:10, 1.69it/s] 16%|█▌ | 3/19 [00:01<00:09, 1.67it/s] 21%|██ | 4/19 [00:02<00:08, 1.68it/s] 26%|██▋ | 5/19 [00:02<00:08, 1.68it/s] 32%|███▏ | 6/19 [00:03<00:07, 1.68it/s] 37%|███▋ | 7/19 [00:04<00:07, 1.67it/s] 42%|████▏ | 8/19 [00:04<00:06, 1.67it/s] 47%|████▋ | 9/19 [00:05<00:05, 1.68it/s] 53%|█████▎ | 10/19 [00:05<00:05, 1.68it/s] 58%|█████▊ | 11/19 [00:06<00:04, 1.69it/s] 63%|██████▎ | 12/19 [00:07<00:04, 1.70it/s] 68%|██████▊ | 13/19 [00:07<00:03, 1.70it/s] 74%|███████▎ | 14/19 [00:08<00:02, 1.70it/s] 79%|███████▉ | 15/19 [00:08<00:02, 1.70it/s] 84%|████████▍ | 16/19 [00:09<00:01, 1.69it/s] 89%|████████▉ | 17/19 [00:10<00:01, 1.69it/s] 95%|█████████▍| 18/19 [00:10<00:00, 1.67it/s] 100%|██████████| 19/19 [00:11<00:00, 1.67it/s] 100%|██████████| 19/19 [00:11<00:00, 1.68it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0: 480x640 (no detections), 8.0ms Speed: 2.2ms preprocess, 8.0ms inference, 0.7ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. Uploading outputs... Finished.
prompt
Specify things to see in the output
a black and white comic book illustration of a tank on the streets of city at night, barricades on the road, Moebius (Jean Giraud), <lora:tweak-detail-xl:1>,
negative_prompt
Specify things to not see in the output
3d, octane render, blender, doll, toy, toying, plastic, sketch, painting, anime, manga, hentai, cartoon, text, monochrome, watermark, canvas frame, blurry, ugly, closed eyes, elongated body, elongated neck, out of frame, disfigured, deformed, extra fingers, fused fingers, stump fingers, extra arms, extra hands, extra feets, extra legs, mutated hands, poorly drawn hands, extra arms, extra legs, mutated hands, mutated fingers, mutation, mutated, crossed eyes, (poorly drawn face:1.5), (worst quality, low quality, normal quality:1.4), badhandv4, bad-hands-5, negative_hand-neg
num_outputs
Number of output images
3
width
Output image width
1024
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
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3422066473
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 Karras
samping_steps
Number of denoising steps
42
cfg_scale
Scale for classifier-free guidance
4.5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
None
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
tweak-detail-xl.safetensors
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)
badhandv4.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-hands-5.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
negative_hand-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/c2c69b85f8a141feb73d9abcda12637c/00000-3422066473.webp
https://files.tungsten.run/uploads/4a0b5886e6a7411a9b6d4905e1e74636/00001-3422066474.webp
https://files.tungsten.run/uploads/b01bd8b9de0f46e0bcbc3cc4fbdeb6c6/00002-3422066475.webp
Finished in 141.7 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: a black and white comic book illustration of a tank on the streets of city at night, barricades on the road, Moebius (Jean Giraud), <lora:tweak-detail-xl:1>, Full negative prompt: 3d, octane render, blender, doll, toy, toying, plastic, sketch, painting, anime, manga, hentai, cartoon, text, monochrome, watermark, canvas frame, blurry, ugly, closed eyes, elongated body, elongated neck, out of frame, disfigured, deformed, extra fingers, fused fingers, stump fingers, extra arms, extra hands, extra feets, extra legs, mutated hands, poorly drawn hands, extra arms, extra legs, mutated hands, mutated fingers, mutation, mutated, crossed eyes, (poorly drawn face:1.5), (worst quality, low quality, normal quality:1.4), badhandv4, bad-hands-5, negative_hand-neg 0%| | 0/42 [00:00<?, ?it/s] 2%|▏ | 1/42 [00:02<01:36, 2.36s/it] 5%|▍ | 2/42 [00:03<00:59, 1.50s/it] 7%|▋ | 3/42 [00:04<00:47, 1.22s/it] 10%|▉ | 4/42 [00:05<00:41, 1.09s/it] 12%|█▏ | 5/42 [00:05<00:37, 1.02s/it] 14%|█▍ | 6/42 [00:06<00:34, 1.03it/s] 17%|█▋ | 7/42 [00:07<00:33, 1.06it/s] 19%|█▉ | 8/42 [00:08<00:31, 1.08it/s] 21%|██▏ | 9/42 [00:09<00:30, 1.09it/s] 24%|██▍ | 10/42 [00:10<00:28, 1.10it/s] 26%|██▌ | 11/42 [00:11<00:27, 1.11it/s] 29%|██▊ | 12/42 [00:12<00:26, 1.12it/s] 31%|███ | 13/42 [00:13<00:25, 1.12it/s] 33%|███▎ | 14/42 [00:13<00:25, 1.12it/s] 36%|███▌ | 15/42 [00:14<00:24, 1.12it/s] 38%|███▊ | 16/42 [00:15<00:23, 1.12it/s] 40%|████ | 17/42 [00:16<00:22, 1.12it/s] 43%|████▎ | 18/42 [00:17<00:21, 1.12it/s] 45%|████▌ | 19/42 [00:18<00:20, 1.12it/s] 48%|████▊ | 20/42 [00:19<00:19, 1.12it/s] 50%|█████ | 21/42 [00:20<00:18, 1.12it/s] 52%|█████▏ | 22/42 [00:21<00:17, 1.12it/s] 55%|█████▍ | 23/42 [00:21<00:16, 1.12it/s] 57%|█████▋ | 24/42 [00:22<00:16, 1.12it/s] 60%|█████▉ | 25/42 [00:23<00:15, 1.12it/s] 62%|██████▏ | 26/42 [00:24<00:14, 1.11it/s] 64%|██████▍ | 27/42 [00:25<00:13, 1.11it/s] 67%|██████▋ | 28/42 [00:26<00:12, 1.11it/s] 69%|██████▉ | 29/42 [00:27<00:11, 1.11it/s] 71%|███████▏ | 30/42 [00:28<00:10, 1.11it/s] 74%|███████▍ | 31/42 [00:29<00:09, 1.11it/s] 76%|███████▌ | 32/42 [00:30<00:09, 1.11it/s] 79%|███████▊ | 33/42 [00:30<00:08, 1.11it/s] 81%|████████ | 34/42 [00:31<00:07, 1.11it/s] 83%|████████▎ | 35/42 [00:32<00:06, 1.11it/s] 86%|████████▌ | 36/42 [00:33<00:05, 1.11it/s] 88%|████████▊ | 37/42 [00:34<00:04, 1.11it/s] 90%|█████████ | 38/42 [00:35<00:03, 1.11it/s] 93%|█████████▎| 39/42 [00:36<00:02, 1.11it/s] 95%|█████████▌| 40/42 [00:37<00:01, 1.11it/s] 98%|█████████▊| 41/42 [00:38<00:00, 1.11it/s] 100%|██████████| 42/42 [00:39<00:00, 1.11it/s] 100%|██████████| 42/42 [00:39<00:00, 1.08it/s] Decoding latents in cuda:0... done in 1.74s Move latents to cpu... done in 0.02s 0: 480x640 1 face, 199.2ms Speed: 2.6ms preprocess, 199.2ms inference, 9.3ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:13, 1.31it/s] 11%|█ | 2/19 [00:01<00:11, 1.48it/s] 16%|█▌ | 3/19 [00:01<00:10, 1.54it/s] 21%|██ | 4/19 [00:02<00:09, 1.58it/s] 26%|██▋ | 5/19 [00:03<00:08, 1.56it/s] 32%|███▏ | 6/19 [00:03<00:08, 1.56it/s] 37%|███▋ | 7/19 [00:04<00:07, 1.52it/s] 42%|████▏ | 8/19 [00:05<00:07, 1.50it/s] 47%|████▋ | 9/19 [00:05<00:06, 1.53it/s] 53%|█████▎ | 10/19 [00:06<00:05, 1.57it/s] 58%|█████▊ | 11/19 [00:07<00:05, 1.59it/s] 63%|██████▎ | 12/19 [00:07<00:04, 1.63it/s] 68%|██████▊ | 13/19 [00:08<00:03, 1.62it/s] 74%|███████▎ | 14/19 [00:08<00:03, 1.60it/s] 79%|███████▉ | 15/19 [00:09<00:02, 1.62it/s] 84%|████████▍ | 16/19 [00:10<00:01, 1.62it/s] 89%|████████▉ | 17/19 [00:10<00:01, 1.63it/s] 95%|█████████▍| 18/19 [00:11<00:00, 1.63it/s] 100%|██████████| 19/19 [00:12<00:00, 1.63it/s] 100%|██████████| 19/19 [00:12<00:00, 1.58it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0: 480x640 (no detections), 109.5ms Speed: 2.7ms preprocess, 109.5ms inference, 0.8ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 480x640 3 faces, 8.2ms Speed: 2.3ms preprocess, 8.2ms inference, 9.7ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:10, 1.71it/s] 11%|█ | 2/19 [00:01<00:09, 1.71it/s] 16%|█▌ | 3/19 [00:01<00:09, 1.71it/s] 21%|██ | 4/19 [00:02<00:09, 1.63it/s] 26%|██▋ | 5/19 [00:03<00:08, 1.65it/s] 32%|███▏ | 6/19 [00:03<00:07, 1.65it/s] 37%|███▋ | 7/19 [00:04<00:07, 1.65it/s] 42%|████▏ | 8/19 [00:04<00:06, 1.65it/s] 47%|████▋ | 9/19 [00:05<00:06, 1.63it/s] 53%|█████▎ | 10/19 [00:06<00:05, 1.64it/s] 58%|█████▊ | 11/19 [00:06<00:04, 1.65it/s] 63%|██████▎ | 12/19 [00:07<00:04, 1.63it/s] 68%|██████▊ | 13/19 [00:07<00:03, 1.63it/s] 74%|███████▎ | 14/19 [00:08<00:03, 1.64it/s] 79%|███████▉ | 15/19 [00:09<00:02, 1.66it/s] 84%|████████▍ | 16/19 [00:09<00:01, 1.67it/s] 89%|████████▉ | 17/19 [00:10<00:01, 1.66it/s] 95%|█████████▍| 18/19 [00:10<00:00, 1.68it/s] 100%|██████████| 19/19 [00:11<00:00, 1.66it/s] 100%|██████████| 19/19 [00:11<00:00, 1.65it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:10, 1.65it/s] 11%|█ | 2/19 [00:01<00:10, 1.61it/s] 16%|█▌ | 3/19 [00:01<00:10, 1.57it/s] 21%|██ | 4/19 [00:02<00:09, 1.62it/s] 26%|██▋ | 5/19 [00:03<00:08, 1.64it/s] 32%|███▏ | 6/19 [00:03<00:07, 1.66it/s] 37%|███▋ | 7/19 [00:04<00:07, 1.65it/s] 42%|████▏ | 8/19 [00:04<00:06, 1.66it/s] 47%|████▋ | 9/19 [00:05<00:06, 1.66it/s] 53%|█████▎ | 10/19 [00:06<00:05, 1.67it/s] 58%|█████▊ | 11/19 [00:06<00:04, 1.69it/s] 63%|██████▎ | 12/19 [00:07<00:04, 1.69it/s] 68%|██████▊ | 13/19 [00:07<00:03, 1.70it/s] 74%|███████▎ | 14/19 [00:08<00:02, 1.71it/s] 79%|███████▉ | 15/19 [00:08<00:02, 1.70it/s] 84%|████████▍ | 16/19 [00:09<00:01, 1.70it/s] 89%|████████▉ | 17/19 [00:10<00:01, 1.69it/s] 95%|█████████▍| 18/19 [00:10<00:00, 1.69it/s] 100%|██████████| 19/19 [00:11<00:00, 1.66it/s] 100%|██████████| 19/19 [00:11<00:00, 1.67it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:11, 1.57it/s] 11%|█ | 2/19 [00:01<00:10, 1.59it/s] 16%|█▌ | 3/19 [00:01<00:10, 1.56it/s] 21%|██ | 4/19 [00:02<00:09, 1.62it/s] 26%|██▋ | 5/19 [00:03<00:08, 1.64it/s] 32%|███▏ | 6/19 [00:03<00:07, 1.66it/s] 37%|███▋ | 7/19 [00:04<00:07, 1.67it/s] 42%|████▏ | 8/19 [00:04<00:06, 1.68it/s] 47%|████▋ | 9/19 [00:05<00:05, 1.69it/s] 53%|█████▎ | 10/19 [00:06<00:05, 1.66it/s] 58%|█████▊ | 11/19 [00:06<00:04, 1.67it/s] 63%|██████▎ | 12/19 [00:07<00:04, 1.68it/s] 68%|██████▊ | 13/19 [00:07<00:03, 1.68it/s] 74%|███████▎ | 14/19 [00:08<00:02, 1.70it/s] 79%|███████▉ | 15/19 [00:09<00:02, 1.70it/s] 84%|████████▍ | 16/19 [00:09<00:01, 1.71it/s] 89%|████████▉ | 17/19 [00:10<00:01, 1.70it/s] 95%|█████████▍| 18/19 [00:10<00:00, 1.69it/s] 100%|██████████| 19/19 [00:11<00:00, 1.67it/s] 100%|██████████| 19/19 [00:11<00:00, 1.67it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0: 480x640 (no detections), 7.7ms Speed: 2.2ms preprocess, 7.7ms inference, 0.7ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 480x640 3 faces, 8.0ms Speed: 2.4ms preprocess, 8.0ms inference, 1.3ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:10, 1.68it/s] 11%|█ | 2/19 [00:01<00:10, 1.70it/s] 16%|█▌ | 3/19 [00:01<00:09, 1.67it/s] 21%|██ | 4/19 [00:02<00:08, 1.68it/s] 26%|██▋ | 5/19 [00:02<00:08, 1.68it/s] 32%|███▏ | 6/19 [00:03<00:07, 1.69it/s] 37%|███▋ | 7/19 [00:04<00:07, 1.69it/s] 42%|████▏ | 8/19 [00:04<00:06, 1.66it/s] 47%|████▋ | 9/19 [00:05<00:06, 1.65it/s] 53%|█████▎ | 10/19 [00:05<00:05, 1.66it/s] 58%|█████▊ | 11/19 [00:06<00:04, 1.68it/s] 63%|██████▎ | 12/19 [00:07<00:04, 1.69it/s] 68%|██████▊ | 13/19 [00:07<00:03, 1.68it/s] 74%|███████▎ | 14/19 [00:08<00:02, 1.68it/s] 79%|███████▉ | 15/19 [00:08<00:02, 1.67it/s] 84%|████████▍ | 16/19 [00:09<00:01, 1.67it/s] 89%|████████▉ | 17/19 [00:10<00:01, 1.65it/s] 95%|█████████▍| 18/19 [00:10<00:00, 1.65it/s] 100%|██████████| 19/19 [00:11<00:00, 1.66it/s] 100%|██████████| 19/19 [00:11<00:00, 1.67it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:10, 1.66it/s] 11%|█ | 2/19 [00:01<00:10, 1.66it/s] 16%|█▌ | 3/19 [00:01<00:09, 1.68it/s] 21%|██ | 4/19 [00:02<00:08, 1.70it/s] 26%|██▋ | 5/19 [00:02<00:08, 1.69it/s] 32%|███▏ | 6/19 [00:03<00:07, 1.68it/s] 37%|███▋ | 7/19 [00:04<00:07, 1.68it/s] 42%|████▏ | 8/19 [00:04<00:06, 1.69it/s] 47%|████▋ | 9/19 [00:05<00:05, 1.70it/s] 53%|█████▎ | 10/19 [00:05<00:05, 1.70it/s] 58%|█████▊ | 11/19 [00:06<00:04, 1.71it/s] 63%|██████▎ | 12/19 [00:07<00:04, 1.70it/s] 68%|██████▊ | 13/19 [00:07<00:03, 1.70it/s] 74%|███████▎ | 14/19 [00:08<00:02, 1.70it/s] 79%|███████▉ | 15/19 [00:08<00:02, 1.68it/s] 84%|████████▍ | 16/19 [00:09<00:01, 1.68it/s] 89%|████████▉ | 17/19 [00:10<00:01, 1.68it/s] 95%|█████████▍| 18/19 [00:10<00:00, 1.69it/s] 100%|██████████| 19/19 [00:11<00:00, 1.69it/s] 100%|██████████| 19/19 [00:11<00:00, 1.69it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:10, 1.68it/s] 11%|█ | 2/19 [00:01<00:10, 1.69it/s] 16%|█▌ | 3/19 [00:01<00:09, 1.67it/s] 21%|██ | 4/19 [00:02<00:08, 1.68it/s] 26%|██▋ | 5/19 [00:02<00:08, 1.68it/s] 32%|███▏ | 6/19 [00:03<00:07, 1.68it/s] 37%|███▋ | 7/19 [00:04<00:07, 1.67it/s] 42%|████▏ | 8/19 [00:04<00:06, 1.67it/s] 47%|████▋ | 9/19 [00:05<00:05, 1.68it/s] 53%|█████▎ | 10/19 [00:05<00:05, 1.68it/s] 58%|█████▊ | 11/19 [00:06<00:04, 1.69it/s] 63%|██████▎ | 12/19 [00:07<00:04, 1.70it/s] 68%|██████▊ | 13/19 [00:07<00:03, 1.70it/s] 74%|███████▎ | 14/19 [00:08<00:02, 1.70it/s] 79%|███████▉ | 15/19 [00:08<00:02, 1.70it/s] 84%|████████▍ | 16/19 [00:09<00:01, 1.69it/s] 89%|████████▉ | 17/19 [00:10<00:01, 1.69it/s] 95%|█████████▍| 18/19 [00:10<00:00, 1.67it/s] 100%|██████████| 19/19 [00:11<00:00, 1.67it/s] 100%|██████████| 19/19 [00:11<00:00, 1.68it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0: 480x640 (no detections), 8.0ms Speed: 2.2ms preprocess, 8.0ms inference, 0.7ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. Uploading outputs... Finished.