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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.
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Output
https://files.tungsten.run/uploads/f321a1400d3f4727959c86ae5d6ba33e/00000-2272809976.webp
https://files.tungsten.run/uploads/f55edf25cbf84c49891eaa6d90c8f35c/00001-2272809977.webp
https://files.tungsten.run/uploads/5d4128c54e4f4ee58d24f6d1f4a733fb/00002-2272809978.webp
This example was created by evevalentine2017
Finished in 69.8 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: ((masterpiece)), ((best quality)), (ultra-detailed), ((kawaii)), cute, (lovely), ((extremely detailed)), 4K, (8K), best quality, (highres), (beautiful), a woman, solo, houshou marine, beautiful red hair, twintails, beautiful red yellow eyes, ((beautiful eyes)), heterochromia, super long hair, large breasts, grin smile, pirate hat, ribbons, frills, thigh strap, bikini 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%| | 0/35 [00:00<?, ?it/s] 3%|▎ | 1/35 [00:00<00:30, 1.13it/s] 6%|▌ | 2/35 [00:01<00:29, 1.13it/s] 9%|▊ | 3/35 [00:02<00:28, 1.13it/s] 11%|█▏ | 4/35 [00:03<00:27, 1.13it/s] 14%|█▍ | 5/35 [00:04<00:26, 1.13it/s] 17%|█▋ | 6/35 [00:05<00:25, 1.13it/s] 20%|██ | 7/35 [00:06<00:24, 1.13it/s] 23%|██▎ | 8/35 [00:07<00:23, 1.13it/s] 26%|██▌ | 9/35 [00:07<00:22, 1.13it/s] 29%|██▊ | 10/35 [00:08<00:21, 1.14it/s] 31%|███▏ | 11/35 [00:09<00:21, 1.14it/s] 34%|███▍ | 12/35 [00:10<00:20, 1.14it/s] 37%|███▋ | 13/35 [00:11<00:19, 1.14it/s] 40%|████ | 14/35 [00:12<00:18, 1.14it/s] 43%|████▎ | 15/35 [00:13<00:17, 1.14it/s] 46%|████▌ | 16/35 [00:14<00:16, 1.13it/s] 49%|████▊ | 17/35 [00:14<00:15, 1.13it/s] 51%|█████▏ | 18/35 [00:15<00:15, 1.13it/s] 54%|█████▍ | 19/35 [00:16<00:14, 1.13it/s] 57%|█████▋ | 20/35 [00:17<00:13, 1.13it/s] 60%|██████ | 21/35 [00:18<00:12, 1.13it/s] 63%|██████▎ | 22/35 [00:19<00:11, 1.13it/s] 66%|██████▌ | 23/35 [00:20<00:10, 1.13it/s] 69%|██████▊ | 24/35 [00:21<00:09, 1.13it/s] 71%|███████▏ | 25/35 [00:22<00:08, 1.13it/s] 74%|███████▍ | 26/35 [00:22<00:07, 1.13it/s] 77%|███████▋ | 27/35 [00:23<00:07, 1.13it/s] 80%|████████ | 28/35 [00:24<00:06, 1.13it/s] 83%|████████▎ | 29/35 [00:25<00:05, 1.13it/s] 86%|████████▌ | 30/35 [00:26<00:04, 1.13it/s] 89%|████████▊ | 31/35 [00:27<00:03, 1.13it/s] 91%|█████████▏| 32/35 [00:28<00:02, 1.13it/s] 94%|█████████▍| 33/35 [00:29<00:01, 1.13it/s] 97%|█████████▋| 34/35 [00:30<00:00, 1.13it/s] 100%|██████████| 35/35 [00:30<00:00, 1.13it/s] 100%|██████████| 35/35 [00:30<00:00, 1.13it/s] Decoding latents in cuda:0... done in 1.69s Move latents to cpu... done in 0.01s 0: 640x480 1 face, 123.3ms Speed: 1.9ms preprocess, 123.3ms inference, 18.7ms 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/f321a1400d3f4727959c86ae5d6ba33e/00000-2272809976.webp
https://files.tungsten.run/uploads/f55edf25cbf84c49891eaa6d90c8f35c/00001-2272809977.webp
https://files.tungsten.run/uploads/5d4128c54e4f4ee58d24f6d1f4a733fb/00002-2272809978.webp
This example was created by evevalentine2017
Finished in 69.8 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: ((masterpiece)), ((best quality)), (ultra-detailed), ((kawaii)), cute, (lovely), ((extremely detailed)), 4K, (8K), best quality, (highres), (beautiful), a woman, solo, houshou marine, beautiful red hair, twintails, beautiful red yellow eyes, ((beautiful eyes)), heterochromia, super long hair, large breasts, grin smile, pirate hat, ribbons, frills, thigh strap, bikini 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%| | 0/35 [00:00<?, ?it/s] 3%|▎ | 1/35 [00:00<00:30, 1.13it/s] 6%|▌ | 2/35 [00:01<00:29, 1.13it/s] 9%|▊ | 3/35 [00:02<00:28, 1.13it/s] 11%|█▏ | 4/35 [00:03<00:27, 1.13it/s] 14%|█▍ | 5/35 [00:04<00:26, 1.13it/s] 17%|█▋ | 6/35 [00:05<00:25, 1.13it/s] 20%|██ | 7/35 [00:06<00:24, 1.13it/s] 23%|██▎ | 8/35 [00:07<00:23, 1.13it/s] 26%|██▌ | 9/35 [00:07<00:22, 1.13it/s] 29%|██▊ | 10/35 [00:08<00:21, 1.14it/s] 31%|███▏ | 11/35 [00:09<00:21, 1.14it/s] 34%|███▍ | 12/35 [00:10<00:20, 1.14it/s] 37%|███▋ | 13/35 [00:11<00:19, 1.14it/s] 40%|████ | 14/35 [00:12<00:18, 1.14it/s] 43%|████▎ | 15/35 [00:13<00:17, 1.14it/s] 46%|████▌ | 16/35 [00:14<00:16, 1.13it/s] 49%|████▊ | 17/35 [00:14<00:15, 1.13it/s] 51%|█████▏ | 18/35 [00:15<00:15, 1.13it/s] 54%|█████▍ | 19/35 [00:16<00:14, 1.13it/s] 57%|█████▋ | 20/35 [00:17<00:13, 1.13it/s] 60%|██████ | 21/35 [00:18<00:12, 1.13it/s] 63%|██████▎ | 22/35 [00:19<00:11, 1.13it/s] 66%|██████▌ | 23/35 [00:20<00:10, 1.13it/s] 69%|██████▊ | 24/35 [00:21<00:09, 1.13it/s] 71%|███████▏ | 25/35 [00:22<00:08, 1.13it/s] 74%|███████▍ | 26/35 [00:22<00:07, 1.13it/s] 77%|███████▋ | 27/35 [00:23<00:07, 1.13it/s] 80%|████████ | 28/35 [00:24<00:06, 1.13it/s] 83%|████████▎ | 29/35 [00:25<00:05, 1.13it/s] 86%|████████▌ | 30/35 [00:26<00:04, 1.13it/s] 89%|████████▊ | 31/35 [00:27<00:03, 1.13it/s] 91%|█████████▏| 32/35 [00:28<00:02, 1.13it/s] 94%|█████████▍| 33/35 [00:29<00:01, 1.13it/s] 97%|█████████▋| 34/35 [00:30<00:00, 1.13it/s] 100%|██████████| 35/35 [00:30<00:00, 1.13it/s] 100%|██████████| 35/35 [00:30<00:00, 1.13it/s] Decoding latents in cuda:0... done in 1.69s Move latents to cpu... done in 0.01s 0: 640x480 1 face, 123.3ms Speed: 1.9ms preprocess, 123.3ms inference, 18.7ms postprocess per image at shape (1, 3, 640, 480)