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Mikasa Ackerman with Animagine XL
animagine-xl:v3.0
evevalentine2017
evevalentine2017
·
Feb 12
382
Input
prompt
Specify things to see in the output
<lora:mikasa ackerman:0.75>, mikasa ackerman, illustration, watercolor style, dreamy atmosphere, The image showcases a female animated character with short black hair,and a determined expression. She is dressed in a beige and white uniform, adorned with various patches and badges. She's holding a device that appears to be some sort of gun or weapon,with a long cord attached to it. The background is white,and there are some scattered elements,possibly representing a wind or movement, giving the impression of action or motion, masterpiece, best quality,
negative_prompt
Specify things to not see in the output
nsfw, lowres, bad anatomy, bad hands, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, artist name, bad-hands-5
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1024
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
false
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.
1414668031
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
28
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
sdxl_vae.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
mikasa ackerman.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)
bad-hands-5.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
Output
https://files.tungsten.run/uploads/b3fc6868ad3040809d34ab2d7c21d52f/00000-1414668031.webp
https://files.tungsten.run/uploads/16c8845d48c94e6587d2104156a870aa/00001-1414668032.webp
https://files.tungsten.run/uploads/c945ae1b43e54ab69432c69d1e6dfe89/00002-1414668033.webp
Finished in 68.5 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: <lora:mikasa ackerman:0.75>, mikasa ackerman, illustration, watercolor style, dreamy atmosphere, The image showcases a female animated character with short black hair,and a determined expression. She is dressed in a beige and white uniform, adorned with various patches and badges. She's holding a device that appears to be some sort of gun or weapon,with a long cord attached to it. The background is white,and there are some scattered elements,possibly representing a wind or movement, giving the impression of action or motion, masterpiece, best quality, Full negative prompt: nsfw, lowres, bad anatomy, bad hands, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, artist name, bad-hands-5 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:02<01:04, 2.41s/it] 7%|▋ | 2/28 [00:03<00:39, 1.52s/it] 11%|█ | 3/28 [00:04<00:30, 1.24s/it] 14%|█▍ | 4/28 [00:05<00:26, 1.11s/it] 18%|█▊ | 5/28 [00:06<00:23, 1.03s/it] 21%|██▏ | 6/28 [00:06<00:21, 1.01it/s] 25%|██▌ | 7/28 [00:07<00:20, 1.04it/s] 29%|██▊ | 8/28 [00:08<00:18, 1.06it/s] 32%|███▏ | 9/28 [00:09<00:17, 1.08it/s] 36%|███▌ | 10/28 [00:10<00:16, 1.08it/s] 39%|███▉ | 11/28 [00:11<00:15, 1.09it/s] 43%|████▎ | 12/28 [00:12<00:14, 1.09it/s] 46%|████▋ | 13/28 [00:13<00:13, 1.09it/s] 50%|█████ | 14/28 [00:14<00:12, 1.09it/s] 54%|█████▎ | 15/28 [00:15<00:11, 1.09it/s] 57%|█████▋ | 16/28 [00:16<00:10, 1.09it/s] 61%|██████ | 17/28 [00:16<00:10, 1.09it/s] 64%|██████▍ | 18/28 [00:17<00:09, 1.09it/s] 68%|██████▊ | 19/28 [00:18<00:08, 1.09it/s] 71%|███████▏ | 20/28 [00:19<00:07, 1.09it/s] 75%|███████▌ | 21/28 [00:20<00:06, 1.08it/s] 79%|███████▊ | 22/28 [00:21<00:05, 1.09it/s] 82%|████████▏ | 23/28 [00:22<00:04, 1.08it/s] 86%|████████▌ | 24/28 [00:23<00:03, 1.08it/s] 89%|████████▉ | 25/28 [00:24<00:02, 1.08it/s] 93%|█████████▎| 26/28 [00:25<00:01, 1.08it/s] 96%|█████████▋| 27/28 [00:26<00:00, 1.08it/s] 100%|██████████| 28/28 [00:27<00:00, 1.08it/s] 100%|██████████| 28/28 [00:27<00:00, 1.03it/s] Decoding latents in cuda:0... done in 1.8s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 159.9ms Speed: 3.1ms preprocess, 159.9ms inference, 28.8ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:08, 1.34it/s] 15%|█▌ | 2/13 [00:01<00:07, 1.50it/s] 23%|██▎ | 3/13 [00:01<00:06, 1.58it/s] 31%|███ | 4/13 [00:02<00:05, 1.59it/s] 38%|███▊ | 5/13 [00:03<00:04, 1.61it/s] 46%|████▌ | 6/13 [00:03<00:04, 1.64it/s] 54%|█████▍ | 7/13 [00:04<00:03, 1.61it/s] 62%|██████▏ | 8/13 [00:05<00:03, 1.63it/s] 69%|██████▉ | 9/13 [00:05<00:02, 1.63it/s] 77%|███████▋ | 10/13 [00:06<00:01, 1.64it/s] 85%|████████▍ | 11/13 [00:06<00:01, 1.65it/s] 92%|█████████▏| 12/13 [00:07<00:00, 1.65it/s] 100%|██████████| 13/13 [00:08<00:00, 1.66it/s] 100%|██████████| 13/13 [00:08<00:00, 1.62it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 7.9ms Speed: 2.4ms preprocess, 7.9ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:07, 1.64it/s] 15%|█▌ | 2/13 [00:01<00:06, 1.66it/s] 23%|██▎ | 3/13 [00:01<00:06, 1.65it/s] 31%|███ | 4/13 [00:02<00:05, 1.65it/s] 38%|███▊ | 5/13 [00:03<00:04, 1.66it/s] 46%|████▌ | 6/13 [00:03<00:04, 1.66it/s] 54%|█████▍ | 7/13 [00:04<00:03, 1.68it/s] 62%|██████▏ | 8/13 [00:04<00:02, 1.67it/s] 69%|██████▉ | 9/13 [00:05<00:02, 1.67it/s] 77%|███████▋ | 10/13 [00:06<00:01, 1.66it/s] 85%|████████▍ | 11/13 [00:06<00:01, 1.67it/s] 92%|█████████▏| 12/13 [00:07<00:00, 1.66it/s] 100%|██████████| 13/13 [00:07<00:00, 1.67it/s] 100%|██████████| 13/13 [00:07<00:00, 1.66it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 7.9ms Speed: 2.4ms preprocess, 7.9ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:07, 1.62it/s] 15%|█▌ | 2/13 [00:01<00:06, 1.62it/s] 23%|██▎ | 3/13 [00:01<00:06, 1.65it/s] 31%|███ | 4/13 [00:02<00:05, 1.65it/s] 38%|███▊ | 5/13 [00:03<00:04, 1.66it/s] 46%|████▌ | 6/13 [00:03<00:04, 1.64it/s] 54%|█████▍ | 7/13 [00:04<00:03, 1.64it/s] 62%|██████▏ | 8/13 [00:04<00:03, 1.64it/s] 69%|██████▉ | 9/13 [00:05<00:02, 1.63it/s] 77%|███████▋ | 10/13 [00:06<00:01, 1.64it/s] 85%|████████▍ | 11/13 [00:06<00:01, 1.63it/s] 92%|█████████▏| 12/13 [00:07<00:00, 1.64it/s] 100%|██████████| 13/13 [00:07<00:00, 1.65it/s] 100%|██████████| 13/13 [00:07<00:00, 1.64it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
<lora:mikasa ackerman:0.75>, mikasa ackerman, illustration, watercolor style, dreamy atmosphere, The image showcases a female animated character with short black hair,and a determined expression. She is dressed in a beige and white uniform, adorned with various patches and badges. She's holding a device that appears to be some sort of gun or weapon,with a long cord attached to it. The background is white,and there are some scattered elements,possibly representing a wind or movement, giving the impression of action or motion, masterpiece, best quality,
negative_prompt
Specify things to not see in the output
nsfw, lowres, bad anatomy, bad hands, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, artist name, bad-hands-5
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1024
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
false
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.
1414668031
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
28
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
sdxl_vae.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
mikasa ackerman.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)
bad-hands-5.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/b3fc6868ad3040809d34ab2d7c21d52f/00000-1414668031.webp
https://files.tungsten.run/uploads/16c8845d48c94e6587d2104156a870aa/00001-1414668032.webp
https://files.tungsten.run/uploads/c945ae1b43e54ab69432c69d1e6dfe89/00002-1414668033.webp
Finished in 68.5 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: <lora:mikasa ackerman:0.75>, mikasa ackerman, illustration, watercolor style, dreamy atmosphere, The image showcases a female animated character with short black hair,and a determined expression. She is dressed in a beige and white uniform, adorned with various patches and badges. She's holding a device that appears to be some sort of gun or weapon,with a long cord attached to it. The background is white,and there are some scattered elements,possibly representing a wind or movement, giving the impression of action or motion, masterpiece, best quality, Full negative prompt: nsfw, lowres, bad anatomy, bad hands, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, artist name, bad-hands-5 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:02<01:04, 2.41s/it] 7%|▋ | 2/28 [00:03<00:39, 1.52s/it] 11%|█ | 3/28 [00:04<00:30, 1.24s/it] 14%|█▍ | 4/28 [00:05<00:26, 1.11s/it] 18%|█▊ | 5/28 [00:06<00:23, 1.03s/it] 21%|██▏ | 6/28 [00:06<00:21, 1.01it/s] 25%|██▌ | 7/28 [00:07<00:20, 1.04it/s] 29%|██▊ | 8/28 [00:08<00:18, 1.06it/s] 32%|███▏ | 9/28 [00:09<00:17, 1.08it/s] 36%|███▌ | 10/28 [00:10<00:16, 1.08it/s] 39%|███▉ | 11/28 [00:11<00:15, 1.09it/s] 43%|████▎ | 12/28 [00:12<00:14, 1.09it/s] 46%|████▋ | 13/28 [00:13<00:13, 1.09it/s] 50%|█████ | 14/28 [00:14<00:12, 1.09it/s] 54%|█████▎ | 15/28 [00:15<00:11, 1.09it/s] 57%|█████▋ | 16/28 [00:16<00:10, 1.09it/s] 61%|██████ | 17/28 [00:16<00:10, 1.09it/s] 64%|██████▍ | 18/28 [00:17<00:09, 1.09it/s] 68%|██████▊ | 19/28 [00:18<00:08, 1.09it/s] 71%|███████▏ | 20/28 [00:19<00:07, 1.09it/s] 75%|███████▌ | 21/28 [00:20<00:06, 1.08it/s] 79%|███████▊ | 22/28 [00:21<00:05, 1.09it/s] 82%|████████▏ | 23/28 [00:22<00:04, 1.08it/s] 86%|████████▌ | 24/28 [00:23<00:03, 1.08it/s] 89%|████████▉ | 25/28 [00:24<00:02, 1.08it/s] 93%|█████████▎| 26/28 [00:25<00:01, 1.08it/s] 96%|█████████▋| 27/28 [00:26<00:00, 1.08it/s] 100%|██████████| 28/28 [00:27<00:00, 1.08it/s] 100%|██████████| 28/28 [00:27<00:00, 1.03it/s] Decoding latents in cuda:0... done in 1.8s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 159.9ms Speed: 3.1ms preprocess, 159.9ms inference, 28.8ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:08, 1.34it/s] 15%|█▌ | 2/13 [00:01<00:07, 1.50it/s] 23%|██▎ | 3/13 [00:01<00:06, 1.58it/s] 31%|███ | 4/13 [00:02<00:05, 1.59it/s] 38%|███▊ | 5/13 [00:03<00:04, 1.61it/s] 46%|████▌ | 6/13 [00:03<00:04, 1.64it/s] 54%|█████▍ | 7/13 [00:04<00:03, 1.61it/s] 62%|██████▏ | 8/13 [00:05<00:03, 1.63it/s] 69%|██████▉ | 9/13 [00:05<00:02, 1.63it/s] 77%|███████▋ | 10/13 [00:06<00:01, 1.64it/s] 85%|████████▍ | 11/13 [00:06<00:01, 1.65it/s] 92%|█████████▏| 12/13 [00:07<00:00, 1.65it/s] 100%|██████████| 13/13 [00:08<00:00, 1.66it/s] 100%|██████████| 13/13 [00:08<00:00, 1.62it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 7.9ms Speed: 2.4ms preprocess, 7.9ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:07, 1.64it/s] 15%|█▌ | 2/13 [00:01<00:06, 1.66it/s] 23%|██▎ | 3/13 [00:01<00:06, 1.65it/s] 31%|███ | 4/13 [00:02<00:05, 1.65it/s] 38%|███▊ | 5/13 [00:03<00:04, 1.66it/s] 46%|████▌ | 6/13 [00:03<00:04, 1.66it/s] 54%|█████▍ | 7/13 [00:04<00:03, 1.68it/s] 62%|██████▏ | 8/13 [00:04<00:02, 1.67it/s] 69%|██████▉ | 9/13 [00:05<00:02, 1.67it/s] 77%|███████▋ | 10/13 [00:06<00:01, 1.66it/s] 85%|████████▍ | 11/13 [00:06<00:01, 1.67it/s] 92%|█████████▏| 12/13 [00:07<00:00, 1.66it/s] 100%|██████████| 13/13 [00:07<00:00, 1.67it/s] 100%|██████████| 13/13 [00:07<00:00, 1.66it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 7.9ms Speed: 2.4ms preprocess, 7.9ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:07, 1.62it/s] 15%|█▌ | 2/13 [00:01<00:06, 1.62it/s] 23%|██▎ | 3/13 [00:01<00:06, 1.65it/s] 31%|███ | 4/13 [00:02<00:05, 1.65it/s] 38%|███▊ | 5/13 [00:03<00:04, 1.66it/s] 46%|████▌ | 6/13 [00:03<00:04, 1.64it/s] 54%|█████▍ | 7/13 [00:04<00:03, 1.64it/s] 62%|██████▏ | 8/13 [00:04<00:03, 1.64it/s] 69%|██████▉ | 9/13 [00:05<00:02, 1.63it/s] 77%|███████▋ | 10/13 [00:06<00:01, 1.64it/s] 85%|████████▍ | 11/13 [00:06<00:01, 1.63it/s] 92%|█████████▏| 12/13 [00:07<00:00, 1.64it/s] 100%|██████████| 13/13 [00:07<00:00, 1.65it/s] 100%|██████████| 13/13 [00:07<00:00, 1.64it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s Uploading outputs... Finished.