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albedo-base-xl
albedo-base-xl

albedo-base-xl

8 stars
Version: v2.0
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/a95c84a0eb394c12970826d5186d9d9f/00000-1362771638.webp
https://files.tungsten.run/uploads/34f40452875f4e96a35588990e9e2911/00001-1362771639.webp
https://files.tungsten.run/uploads/af4bf9cfd4ea4f4da0acedb0aac300cd/00002-1362771640.webp
This example was created by evevalentine2017
Finished in 123.1 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: 1girl, ground vehicle, by Loui Jover, architecture, sketch, city, red umbrella, traditional media, scenery, dress, outdoors, storefront, flower, lantern Full negative prompt: 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:02<01:14, 2.41s/it] 6%|▋ | 2/32 [00:04<01:12, 2.43s/it] 9%|▉ | 3/32 [00:07<01:10, 2.44s/it] 12%|█▎ | 4/32 [00:09<01:08, 2.45s/it] 16%|█▌ | 5/32 [00:12<01:06, 2.45s/it] 19%|█▉ | 6/32 [00:14<01:03, 2.46s/it] 22%|██▏ | 7/32 [00:17<01:01, 2.47s/it] 25%|██▌ | 8/32 [00:19<00:59, 2.47s/it] 28%|██▊ | 9/32 [00:22<00:56, 2.48s/it] 31%|███▏ | 10/32 [00:24<00:54, 2.48s/it] 34%|███▍ | 11/32 [00:27<00:52, 2.48s/it] 38%|███▊ | 12/32 [00:29<00:49, 2.48s/it] 41%|████ | 13/32 [00:32<00:47, 2.48s/it] 44%|████▍ | 14/32 [00:34<00:44, 2.48s/it] 47%|████▋ | 15/32 [00:37<00:42, 2.48s/it] 50%|█████ | 16/32 [00:39<00:39, 2.49s/it] 53%|█████▎ | 17/32 [00:42<00:37, 2.50s/it] 56%|█████▋ | 18/32 [00:44<00:34, 2.50s/it] 59%|█████▉ | 19/32 [00:47<00:32, 2.50s/it] 62%|██████▎ | 20/32 [00:49<00:29, 2.50s/it] 66%|██████▌ | 21/32 [00:52<00:27, 2.50s/it] 69%|██████▉ | 22/32 [00:54<00:24, 2.49s/it] 72%|███████▏ | 23/32 [00:57<00:22, 2.49s/it] 75%|███████▌ | 24/32 [00:59<00:19, 2.49s/it] 78%|███████▊ | 25/32 [01:01<00:17, 2.49s/it] 81%|████████▏ | 26/32 [01:04<00:14, 2.48s/it] 84%|████████▍ | 27/32 [01:06<00:12, 2.48s/it] 88%|████████▊ | 28/32 [01:09<00:09, 2.48s/it] 91%|█████████ | 29/32 [01:11<00:07, 2.48s/it] 94%|█████████▍| 30/32 [01:14<00:04, 2.48s/it] 97%|█████████▋| 31/32 [01:16<00:02, 2.49s/it] 100%|██████████| 32/32 [01:19<00:00, 2.49s/it] 100%|██████████| 32/32 [01:19<00:00, 2.48s/it] Decoding latents in cuda:0... done in 4.37s Move latents to cpu... done in 0.05s 0: 640x640 (no detections), 7.6ms Speed: 3.8ms preprocess, 7.6ms inference, 4.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x640 (no detections), 7.6ms Speed: 3.3ms preprocess, 7.6ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 7.6ms Speed: 3.3ms preprocess, 7.6ms inference, 10.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:10, 1.33it/s] 13%|█▎ | 2/15 [00:01<00:09, 1.31it/s] 20%|██ | 3/15 [00:02<00:09, 1.31it/s] 27%|██▋ | 4/15 [00:03<00:08, 1.31it/s] 33%|███▎ | 5/15 [00:03<00:07, 1.32it/s] 40%|████ | 6/15 [00:04<00:06, 1.31it/s] 47%|████▋ | 7/15 [00:05<00:06, 1.31it/s] 53%|█████▎ | 8/15 [00:06<00:05, 1.31it/s] 60%|██████ | 9/15 [00:06<00:04, 1.31it/s] 67%|██████▋ | 10/15 [00:07<00:03, 1.31it/s] 73%|███████▎ | 11/15 [00:08<00:03, 1.31it/s] 80%|████████ | 12/15 [00:09<00:02, 1.31it/s] 87%|████████▋ | 13/15 [00:09<00:01, 1.31it/s] 93%|█████████▎| 14/15 [00:10<00:00, 1.31it/s] 100%|██████████| 15/15 [00:11<00:00, 1.31it/s] 100%|██████████| 15/15 [00:11<00:00, 1.31it/s] Decoding latents in cuda:0... done in 1.45s Move latents to cpu... done in 0.02s 0: 640x640 (no detections), 9.0ms Speed: 4.2ms preprocess, 9.0ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 1 face, 9.9ms Speed: 3.9ms preprocess, 9.9ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:10, 1.36it/s] 13%|█▎ | 2/15 [00:01<00:09, 1.31it/s] 20%|██ | 3/15 [00:02<00:09, 1.30it/s] 27%|██▋ | 4/15 [00:03<00:08, 1.30it/s] 33%|███▎ | 5/15 [00:03<00:07, 1.30it/s] 40%|████ | 6/15 [00:04<00:06, 1.30it/s] 47%|████▋ | 7/15 [00:05<00:06, 1.29it/s] 53%|█████▎ | 8/15 [00:06<00:05, 1.29it/s] 60%|██████ | 9/15 [00:06<00:04, 1.29it/s] 67%|██████▋ | 10/15 [00:07<00:03, 1.29it/s] 73%|███████▎ | 11/15 [00:08<00:03, 1.28it/s] 80%|████████ | 12/15 [00:09<00:02, 1.28it/s] 87%|████████▋ | 13/15 [00:10<00:01, 1.28it/s] 93%|█████████▎| 14/15 [00:10<00:00, 1.29it/s] 100%|██████████| 15/15 [00:11<00:00, 1.29it/s] 100%|██████████| 15/15 [00:11<00:00, 1.29it/s] Decoding latents in cuda:0... done in 1.46s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.0ms Speed: 3.3ms preprocess, 7.0ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. Uploading outputs... Finished.
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/a95c84a0eb394c12970826d5186d9d9f/00000-1362771638.webp
https://files.tungsten.run/uploads/34f40452875f4e96a35588990e9e2911/00001-1362771639.webp
https://files.tungsten.run/uploads/af4bf9cfd4ea4f4da0acedb0aac300cd/00002-1362771640.webp
This example was created by evevalentine2017
Finished in 123.1 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: 1girl, ground vehicle, by Loui Jover, architecture, sketch, city, red umbrella, traditional media, scenery, dress, outdoors, storefront, flower, lantern Full negative prompt: 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:02<01:14, 2.41s/it] 6%|▋ | 2/32 [00:04<01:12, 2.43s/it] 9%|▉ | 3/32 [00:07<01:10, 2.44s/it] 12%|█▎ | 4/32 [00:09<01:08, 2.45s/it] 16%|█▌ | 5/32 [00:12<01:06, 2.45s/it] 19%|█▉ | 6/32 [00:14<01:03, 2.46s/it] 22%|██▏ | 7/32 [00:17<01:01, 2.47s/it] 25%|██▌ | 8/32 [00:19<00:59, 2.47s/it] 28%|██▊ | 9/32 [00:22<00:56, 2.48s/it] 31%|███▏ | 10/32 [00:24<00:54, 2.48s/it] 34%|███▍ | 11/32 [00:27<00:52, 2.48s/it] 38%|███▊ | 12/32 [00:29<00:49, 2.48s/it] 41%|████ | 13/32 [00:32<00:47, 2.48s/it] 44%|████▍ | 14/32 [00:34<00:44, 2.48s/it] 47%|████▋ | 15/32 [00:37<00:42, 2.48s/it] 50%|█████ | 16/32 [00:39<00:39, 2.49s/it] 53%|█████▎ | 17/32 [00:42<00:37, 2.50s/it] 56%|█████▋ | 18/32 [00:44<00:34, 2.50s/it] 59%|█████▉ | 19/32 [00:47<00:32, 2.50s/it] 62%|██████▎ | 20/32 [00:49<00:29, 2.50s/it] 66%|██████▌ | 21/32 [00:52<00:27, 2.50s/it] 69%|██████▉ | 22/32 [00:54<00:24, 2.49s/it] 72%|███████▏ | 23/32 [00:57<00:22, 2.49s/it] 75%|███████▌ | 24/32 [00:59<00:19, 2.49s/it] 78%|███████▊ | 25/32 [01:01<00:17, 2.49s/it] 81%|████████▏ | 26/32 [01:04<00:14, 2.48s/it] 84%|████████▍ | 27/32 [01:06<00:12, 2.48s/it] 88%|████████▊ | 28/32 [01:09<00:09, 2.48s/it] 91%|█████████ | 29/32 [01:11<00:07, 2.48s/it] 94%|█████████▍| 30/32 [01:14<00:04, 2.48s/it] 97%|█████████▋| 31/32 [01:16<00:02, 2.49s/it] 100%|██████████| 32/32 [01:19<00:00, 2.49s/it] 100%|██████████| 32/32 [01:19<00:00, 2.48s/it] Decoding latents in cuda:0... done in 4.37s Move latents to cpu... done in 0.05s 0: 640x640 (no detections), 7.6ms Speed: 3.8ms preprocess, 7.6ms inference, 4.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x640 (no detections), 7.6ms Speed: 3.3ms preprocess, 7.6ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 7.6ms Speed: 3.3ms preprocess, 7.6ms inference, 10.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:10, 1.33it/s] 13%|█▎ | 2/15 [00:01<00:09, 1.31it/s] 20%|██ | 3/15 [00:02<00:09, 1.31it/s] 27%|██▋ | 4/15 [00:03<00:08, 1.31it/s] 33%|███▎ | 5/15 [00:03<00:07, 1.32it/s] 40%|████ | 6/15 [00:04<00:06, 1.31it/s] 47%|████▋ | 7/15 [00:05<00:06, 1.31it/s] 53%|█████▎ | 8/15 [00:06<00:05, 1.31it/s] 60%|██████ | 9/15 [00:06<00:04, 1.31it/s] 67%|██████▋ | 10/15 [00:07<00:03, 1.31it/s] 73%|███████▎ | 11/15 [00:08<00:03, 1.31it/s] 80%|████████ | 12/15 [00:09<00:02, 1.31it/s] 87%|████████▋ | 13/15 [00:09<00:01, 1.31it/s] 93%|█████████▎| 14/15 [00:10<00:00, 1.31it/s] 100%|██████████| 15/15 [00:11<00:00, 1.31it/s] 100%|██████████| 15/15 [00:11<00:00, 1.31it/s] Decoding latents in cuda:0... done in 1.45s Move latents to cpu... done in 0.02s 0: 640x640 (no detections), 9.0ms Speed: 4.2ms preprocess, 9.0ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 1 face, 9.9ms Speed: 3.9ms preprocess, 9.9ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:10, 1.36it/s] 13%|█▎ | 2/15 [00:01<00:09, 1.31it/s] 20%|██ | 3/15 [00:02<00:09, 1.30it/s] 27%|██▋ | 4/15 [00:03<00:08, 1.30it/s] 33%|███▎ | 5/15 [00:03<00:07, 1.30it/s] 40%|████ | 6/15 [00:04<00:06, 1.30it/s] 47%|████▋ | 7/15 [00:05<00:06, 1.29it/s] 53%|█████▎ | 8/15 [00:06<00:05, 1.29it/s] 60%|██████ | 9/15 [00:06<00:04, 1.29it/s] 67%|██████▋ | 10/15 [00:07<00:03, 1.29it/s] 73%|███████▎ | 11/15 [00:08<00:03, 1.28it/s] 80%|████████ | 12/15 [00:09<00:02, 1.28it/s] 87%|████████▋ | 13/15 [00:10<00:01, 1.28it/s] 93%|█████████▎| 14/15 [00:10<00:00, 1.29it/s] 100%|██████████| 15/15 [00:11<00:00, 1.29it/s] 100%|██████████| 15/15 [00:11<00:00, 1.29it/s] Decoding latents in cuda:0... done in 1.46s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.0ms Speed: 3.3ms preprocess, 7.0ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. Uploading outputs... Finished.