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anything-xl
anything-xl

anything-xl

17 stars
Version: v1.0-xl
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.
Sign in to run this model for free!
Output
https://files.tungsten.run/uploads/5f0d8d7c5d0e43f38747379c83569959/00000-3665112699.webp
https://files.tungsten.run/uploads/7c72dba926a04aac83d174b2b0773cec/00001-3665112700.webp
https://files.tungsten.run/uploads/4bba67d7e10d4c8ba86ba0bc2d2abd21/00002-3665112701.webp
This example was created by evevalentine2017
Finished in 58.9 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: award winning photo, (masterpiece:1.3), beautiful and aesthetic, slim waist, sexy, looking at viewer, looking gorgeous, 22 years old Japanese and Taiwanese slim stunning woman, gorgeous woman with brown eyes and brown wavy hair wearing a cat ears and cat tail, black lingery and jeans pants sits on a black motorcycle in the snow. Full negative prompt: lowres, bad, error, fewer, extra, missing, worst quality, jpeg artifacts, bad quality, watermark, signature, extra digits, artistic error, username, abstract, artist logo, artist name, signature, bad fingers, bad hand 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:27, 1.03s/it] 7%|▋ | 2/28 [00:02<00:26, 1.03s/it] 11%|█ | 3/28 [00:03<00:25, 1.03s/it] 14%|█▍ | 4/28 [00:04<00:24, 1.03s/it] 18%|█▊ | 5/28 [00:05<00:23, 1.04s/it] 21%|██▏ | 6/28 [00:06<00:22, 1.04s/it] 25%|██▌ | 7/28 [00:07<00:21, 1.04s/it] 29%|██▊ | 8/28 [00:08<00:20, 1.05s/it] 32%|███▏ | 9/28 [00:09<00:19, 1.05s/it] 36%|███▌ | 10/28 [00:10<00:18, 1.05s/it] 39%|███▉ | 11/28 [00:11<00:17, 1.06s/it] 43%|████▎ | 12/28 [00:12<00:16, 1.06s/it] 46%|████▋ | 13/28 [00:13<00:15, 1.06s/it] 50%|█████ | 14/28 [00:14<00:14, 1.06s/it] 54%|█████▎ | 15/28 [00:15<00:13, 1.07s/it] 57%|█████▋ | 16/28 [00:16<00:12, 1.07s/it] 61%|██████ | 17/28 [00:17<00:11, 1.07s/it] 64%|██████▍ | 18/28 [00:18<00:10, 1.07s/it] 68%|██████▊ | 19/28 [00:20<00:09, 1.07s/it] 71%|███████▏ | 20/28 [00:21<00:08, 1.07s/it] 75%|███████▌ | 21/28 [00:22<00:07, 1.06s/it] 79%|███████▊ | 22/28 [00:23<00:06, 1.06s/it] 82%|████████▏ | 23/28 [00:24<00:05, 1.06s/it] 86%|████████▌ | 24/28 [00:25<00:04, 1.05s/it] 89%|████████▉ | 25/28 [00:26<00:03, 1.05s/it] 93%|█████████▎| 26/28 [00:27<00:02, 1.05s/it] 96%|█████████▋| 27/28 [00:28<00:01, 1.05s/it] 100%|██████████| 28/28 [00:29<00:00, 1.04s/it] 100%|██████████| 28/28 [00:29<00:00, 1.05s/it] Decoding latents in cuda:0... done in 1.76s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 161.1ms Speed: 7.4ms preprocess, 161.1ms inference, 32.7ms postprocess per image at shape (1, 3, 640, 480)
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/5f0d8d7c5d0e43f38747379c83569959/00000-3665112699.webp
https://files.tungsten.run/uploads/7c72dba926a04aac83d174b2b0773cec/00001-3665112700.webp
https://files.tungsten.run/uploads/4bba67d7e10d4c8ba86ba0bc2d2abd21/00002-3665112701.webp
This example was created by evevalentine2017
Finished in 58.9 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: award winning photo, (masterpiece:1.3), beautiful and aesthetic, slim waist, sexy, looking at viewer, looking gorgeous, 22 years old Japanese and Taiwanese slim stunning woman, gorgeous woman with brown eyes and brown wavy hair wearing a cat ears and cat tail, black lingery and jeans pants sits on a black motorcycle in the snow. Full negative prompt: lowres, bad, error, fewer, extra, missing, worst quality, jpeg artifacts, bad quality, watermark, signature, extra digits, artistic error, username, abstract, artist logo, artist name, signature, bad fingers, bad hand 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:27, 1.03s/it] 7%|▋ | 2/28 [00:02<00:26, 1.03s/it] 11%|█ | 3/28 [00:03<00:25, 1.03s/it] 14%|█▍ | 4/28 [00:04<00:24, 1.03s/it] 18%|█▊ | 5/28 [00:05<00:23, 1.04s/it] 21%|██▏ | 6/28 [00:06<00:22, 1.04s/it] 25%|██▌ | 7/28 [00:07<00:21, 1.04s/it] 29%|██▊ | 8/28 [00:08<00:20, 1.05s/it] 32%|███▏ | 9/28 [00:09<00:19, 1.05s/it] 36%|███▌ | 10/28 [00:10<00:18, 1.05s/it] 39%|███▉ | 11/28 [00:11<00:17, 1.06s/it] 43%|████▎ | 12/28 [00:12<00:16, 1.06s/it] 46%|████▋ | 13/28 [00:13<00:15, 1.06s/it] 50%|█████ | 14/28 [00:14<00:14, 1.06s/it] 54%|█████▎ | 15/28 [00:15<00:13, 1.07s/it] 57%|█████▋ | 16/28 [00:16<00:12, 1.07s/it] 61%|██████ | 17/28 [00:17<00:11, 1.07s/it] 64%|██████▍ | 18/28 [00:18<00:10, 1.07s/it] 68%|██████▊ | 19/28 [00:20<00:09, 1.07s/it] 71%|███████▏ | 20/28 [00:21<00:08, 1.07s/it] 75%|███████▌ | 21/28 [00:22<00:07, 1.06s/it] 79%|███████▊ | 22/28 [00:23<00:06, 1.06s/it] 82%|████████▏ | 23/28 [00:24<00:05, 1.06s/it] 86%|████████▌ | 24/28 [00:25<00:04, 1.05s/it] 89%|████████▉ | 25/28 [00:26<00:03, 1.05s/it] 93%|█████████▎| 26/28 [00:27<00:02, 1.05s/it] 96%|█████████▋| 27/28 [00:28<00:01, 1.05s/it] 100%|██████████| 28/28 [00:29<00:00, 1.04s/it] 100%|██████████| 28/28 [00:29<00:00, 1.05s/it] Decoding latents in cuda:0... done in 1.76s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 161.1ms Speed: 7.4ms preprocess, 161.1ms inference, 32.7ms postprocess per image at shape (1, 3, 640, 480)