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animagine-xl
animagine-xl

animagine-xl

53 stars
Version: v3.0
Input
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
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.
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.
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.
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.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
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)
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.
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Output
https://files.tungsten.run/uploads/76a66f7ef86047d9a8feb32a1df0f261/00000-4267884914.webp
https://files.tungsten.run/uploads/768e18ba3cf646de970619995508a709/00001-4267884915.webp
https://files.tungsten.run/uploads/f75b9ff99c6447eead0a79e73a2fb71a/00002-4267884916.webp
This example was created by deadwaldo
Finished in 46.2 seconds
Setting up the model... Preparing inputs... Processing... Using seed 4267884914 Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: toilet-goblin Full negative prompt: nsfw, lowres, bad anatomy, bad hands, text, 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 [00:00<00:25, 1.08it/s] 7%|▋ | 2/28 [00:01<00:24, 1.08it/s] 11%|█ | 3/28 [00:02<00:23, 1.08it/s] 14%|█▍ | 4/28 [00:03<00:22, 1.08it/s] 18%|█▊ | 5/28 [00:04<00:21, 1.08it/s] 21%|██▏ | 6/28 [00:05<00:20, 1.08it/s] 25%|██▌ | 7/28 [00:06<00:19, 1.08it/s] 29%|██▊ | 8/28 [00:07<00:18, 1.08it/s] 32%|███▏ | 9/28 [00:08<00:17, 1.08it/s] 36%|███▌ | 10/28 [00:09<00:16, 1.08it/s] 39%|███▉ | 11/28 [00:10<00:15, 1.08it/s] 43%|████▎ | 12/28 [00:11<00:14, 1.08it/s] 46%|████▋ | 13/28 [00:12<00:13, 1.08it/s] 50%|█████ | 14/28 [00:12<00:13, 1.08it/s] 54%|█████▎ | 15/28 [00:13<00:12, 1.08it/s] 57%|█████▋ | 16/28 [00:14<00:11, 1.08it/s] 61%|██████ | 17/28 [00:15<00:10, 1.07it/s] 64%|██████▍ | 18/28 [00:16<00:09, 1.08it/s] 68%|██████▊ | 19/28 [00:17<00:08, 1.07it/s] 71%|███████▏ | 20/28 [00:18<00:07, 1.07it/s] 75%|███████▌ | 21/28 [00:19<00:06, 1.07it/s] 79%|███████▊ | 22/28 [00:20<00:05, 1.07it/s] 82%|████████▏ | 23/28 [00:21<00:04, 1.07it/s] 86%|████████▌ | 24/28 [00:22<00:03, 1.07it/s] 89%|████████▉ | 25/28 [00:23<00:02, 1.07it/s] 93%|█████████▎| 26/28 [00:24<00:01, 1.07it/s] 96%|█████████▋| 27/28 [00:25<00:00, 1.07it/s] 100%|██████████| 28/28 [00:26<00:00, 1.07it/s] 100%|██████████| 28/28 [00:26<00:00, 1.08it/s] Decoding latents in cuda:0... done in 1.72s Move latents to cpu... done in 0.01s 0: 640x480 1 face, 126.5ms Speed: 2.0ms preprocess, 126.5ms inference, 19.0ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:04, 2.75it/s] 15%|█▌ | 2/13 [00:00<00:03, 3.11it/s] 23%|██▎ | 3/13 [00:00<00:03, 3.21it/s] 31%|███ | 4/13 [00:01<00:02, 3.21it/s] 38%|███▊ | 5/13 [00:01<00:02, 3.27it/s] 46%|████▌ | 6/13 [00:01<00:02, 3.30it/s] 54%|█████▍ | 7/13 [00:02<00:01, 3.28it/s] 62%|██████▏ | 8/13 [00:02<00:01, 3.29it/s] 69%|██████▉ | 9/13 [00:02<00:01, 3.31it/s] 77%|███████▋ | 10/13 [00:03<00:00, 3.29it/s] 85%|████████▍ | 11/13 [00:03<00:00, 3.29it/s] 92%|█████████▏| 12/13 [00:03<00:00, 3.31it/s] 100%|██████████| 13/13 [00:03<00:00, 3.31it/s] 100%|██████████| 13/13 [00:03<00:00, 3.27it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
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.
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.
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.
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.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
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)
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.
Sign in to run this model for free!
https://files.tungsten.run/uploads/76a66f7ef86047d9a8feb32a1df0f261/00000-4267884914.webp
https://files.tungsten.run/uploads/768e18ba3cf646de970619995508a709/00001-4267884915.webp
https://files.tungsten.run/uploads/f75b9ff99c6447eead0a79e73a2fb71a/00002-4267884916.webp
This example was created by deadwaldo
Finished in 46.2 seconds
Setting up the model... Preparing inputs... Processing... Using seed 4267884914 Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: toilet-goblin Full negative prompt: nsfw, lowres, bad anatomy, bad hands, text, 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 [00:00<00:25, 1.08it/s] 7%|▋ | 2/28 [00:01<00:24, 1.08it/s] 11%|█ | 3/28 [00:02<00:23, 1.08it/s] 14%|█▍ | 4/28 [00:03<00:22, 1.08it/s] 18%|█▊ | 5/28 [00:04<00:21, 1.08it/s] 21%|██▏ | 6/28 [00:05<00:20, 1.08it/s] 25%|██▌ | 7/28 [00:06<00:19, 1.08it/s] 29%|██▊ | 8/28 [00:07<00:18, 1.08it/s] 32%|███▏ | 9/28 [00:08<00:17, 1.08it/s] 36%|███▌ | 10/28 [00:09<00:16, 1.08it/s] 39%|███▉ | 11/28 [00:10<00:15, 1.08it/s] 43%|████▎ | 12/28 [00:11<00:14, 1.08it/s] 46%|████▋ | 13/28 [00:12<00:13, 1.08it/s] 50%|█████ | 14/28 [00:12<00:13, 1.08it/s] 54%|█████▎ | 15/28 [00:13<00:12, 1.08it/s] 57%|█████▋ | 16/28 [00:14<00:11, 1.08it/s] 61%|██████ | 17/28 [00:15<00:10, 1.07it/s] 64%|██████▍ | 18/28 [00:16<00:09, 1.08it/s] 68%|██████▊ | 19/28 [00:17<00:08, 1.07it/s] 71%|███████▏ | 20/28 [00:18<00:07, 1.07it/s] 75%|███████▌ | 21/28 [00:19<00:06, 1.07it/s] 79%|███████▊ | 22/28 [00:20<00:05, 1.07it/s] 82%|████████▏ | 23/28 [00:21<00:04, 1.07it/s] 86%|████████▌ | 24/28 [00:22<00:03, 1.07it/s] 89%|████████▉ | 25/28 [00:23<00:02, 1.07it/s] 93%|█████████▎| 26/28 [00:24<00:01, 1.07it/s] 96%|█████████▋| 27/28 [00:25<00:00, 1.07it/s] 100%|██████████| 28/28 [00:26<00:00, 1.07it/s] 100%|██████████| 28/28 [00:26<00:00, 1.08it/s] Decoding latents in cuda:0... done in 1.72s Move latents to cpu... done in 0.01s 0: 640x480 1 face, 126.5ms Speed: 2.0ms preprocess, 126.5ms inference, 19.0ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:04, 2.75it/s] 15%|█▌ | 2/13 [00:00<00:03, 3.11it/s] 23%|██▎ | 3/13 [00:00<00:03, 3.21it/s] 31%|███ | 4/13 [00:01<00:02, 3.21it/s] 38%|███▊ | 5/13 [00:01<00:02, 3.27it/s] 46%|████▌ | 6/13 [00:01<00:02, 3.30it/s] 54%|█████▍ | 7/13 [00:02<00:01, 3.28it/s] 62%|██████▏ | 8/13 [00:02<00:01, 3.29it/s] 69%|██████▉ | 9/13 [00:02<00:01, 3.31it/s] 77%|███████▋ | 10/13 [00:03<00:00, 3.29it/s] 85%|████████▍ | 11/13 [00:03<00:00, 3.29it/s] 92%|█████████▏| 12/13 [00:03<00:00, 3.31it/s] 100%|██████████| 13/13 [00:03<00:00, 3.31it/s] 100%|██████████| 13/13 [00:03<00:00, 3.27it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s