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NaturalBeauty XL
NaturalBeauty XL

NaturalBeauty XL

7 stars
Version: v0.1
Input
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
EnvyBetterHiresFixXL01
Envy Better Hires Fix Xl01
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/2ee116521f024cf7bdc81579c14f8bfe/00000-488143712.webp
https://files.tungsten.run/uploads/cae80274d4394cd4bdf383712e250315/00001-488143713.webp
https://files.tungsten.run/uploads/3e8d705930b8445097264dba1488a120/00002-488143714.webp
This example was created by sparks
Finished in 221.2 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: a paparazzi photo of a young caucasian woman, wearing a Christian Dior ballgown, standing, feet together, medium length wavy bleached blond hair, eyes open, neutral expression, mouth closed, eye contact, large breasts, arms by side, shallow depth of field, bokeh, <lora:add-detail-xl:1.0> Full negative prompt: asymmetric breasts, tattoo, amputation, missing fingers, floating limbs, illustration 0%| | 0/70 [00:00<?, ?it/s] 1%|▏ | 1/70 [00:03<03:56, 3.42s/it] 3%|▎ | 2/70 [00:05<03:04, 2.71s/it] 4%|▍ | 3/70 [00:07<02:46, 2.48s/it] 6%|▌ | 4/70 [00:10<02:36, 2.37s/it] 7%|▋ | 5/70 [00:12<02:30, 2.31s/it] 9%|▊ | 6/70 [00:14<02:25, 2.28s/it] 10%|█ | 7/70 [00:16<02:21, 2.25s/it] 11%|█▏ | 8/70 [00:18<02:18, 2.23s/it] 13%|█▎ | 9/70 [00:21<02:15, 2.22s/it] 14%|█▍ | 10/70 [00:23<02:12, 2.22s/it] 16%|█▌ | 11/70 [00:25<02:10, 2.21s/it] 17%|█▋ | 12/70 [00:27<02:07, 2.20s/it] 19%|█▊ | 13/70 [00:29<02:05, 2.20s/it] 20%|██ | 14/70 [00:32<02:02, 2.20s/it] 21%|██▏ | 15/70 [00:34<02:00, 2.19s/it] 23%|██▎ | 16/70 [00:36<01:58, 2.19s/it] 24%|██▍ | 17/70 [00:38<01:56, 2.19s/it] 26%|██▌ | 18/70 [00:40<01:53, 2.19s/it] 27%|██▋ | 19/70 [00:42<01:51, 2.19s/it] 29%|██▊ | 20/70 [00:45<01:49, 2.19s/it] 30%|███ | 21/70 [00:47<01:47, 2.19s/it] 31%|███▏ | 22/70 [00:49<01:45, 2.20s/it] 33%|███▎ | 23/70 [00:51<01:43, 2.20s/it] 34%|███▍ | 24/70 [00:53<01:41, 2.21s/it] 36%|███▌ | 25/70 [00:56<01:39, 2.21s/it] 37%|███▋ | 26/70 [00:58<01:37, 2.22s/it] 39%|███▊ | 27/70 [01:00<01:35, 2.22s/it] 40%|████ | 28/70 [01:02<01:33, 2.23s/it] 41%|████▏ | 29/70 [01:05<01:31, 2.24s/it] 43%|████▎ | 30/70 [01:07<01:29, 2.24s/it] 44%|████▍ | 31/70 [01:09<01:27, 2.25s/it] 46%|████▌ | 32/70 [01:11<01:25, 2.25s/it] 47%|████▋ | 33/70 [01:14<01:23, 2.25s/it] 49%|████▊ | 34/70 [01:16<01:21, 2.26s/it] 50%|█████ | 35/70 [01:18<01:18, 2.26s/it] 51%|█████▏ | 36/70 [01:20<01:16, 2.25s/it] 53%|█████▎ | 37/70 [01:23<01:14, 2.26s/it] 54%|█████▍ | 38/70 [01:25<01:12, 2.25s/it] 56%|█████▌ | 39/70 [01:27<01:10, 2.26s/it] 57%|█████▋ | 40/70 [01:30<01:07, 2.26s/it] 59%|█████▊ | 41/70 [01:32<01:05, 2.25s/it] 60%|██████ | 42/70 [01:34<01:02, 2.25s/it] 61%|██████▏ | 43/70 [01:36<01:00, 2.25s/it] 63%|██████▎ | 44/70 [01:38<00:58, 2.25s/it] 64%|██████▍ | 45/70 [01:41<00:56, 2.24s/it] 66%|██████▌ | 46/70 [01:43<00:53, 2.24s/it] 67%|██████▋ | 47/70 [01:45<00:51, 2.24s/it] 69%|██████▊ | 48/70 [01:47<00:49, 2.24s/it] 70%|███████ | 49/70 [01:50<00:46, 2.23s/it] 71%|███████▏ | 50/70 [01:52<00:44, 2.23s/it] 73%|███████▎ | 51/70 [01:54<00:42, 2.23s/it] 74%|███████▍ | 52/70 [01:56<00:40, 2.23s/it] 76%|███████▌ | 53/70 [01:59<00:37, 2.22s/it] 77%|███████▋ | 54/70 [02:01<00:35, 2.22s/it] 79%|███████▊ | 55/70 [02:03<00:33, 2.23s/it] 80%|████████ | 56/70 [02:05<00:31, 2.22s/it] 81%|████████▏ | 57/70 [02:07<00:28, 2.22s/it] 83%|████████▎ | 58/70 [02:10<00:26, 2.22s/it] 84%|████████▍ | 59/70 [02:12<00:24, 2.22s/it] 86%|████████▌ | 60/70 [02:14<00:22, 2.22s/it] 87%|████████▋ | 61/70 [02:16<00:19, 2.22s/it] 89%|████████▊ | 62/70 [02:19<00:17, 2.22s/it] 90%|█████████ | 63/70 [02:21<00:15, 2.22s/it] 91%|█████████▏| 64/70 [02:23<00:13, 2.22s/it] 93%|█████████▎| 65/70 [02:25<00:11, 2.22s/it] 94%|█████████▍| 66/70 [02:27<00:08, 2.22s/it] 96%|█████████▌| 67/70 [02:30<00:06, 2.22s/it] 97%|█████████▋| 68/70 [02:32<00:04, 2.22s/it] 99%|█████████▊| 69/70 [02:34<00:02, 2.22s/it] 100%|██████████| 70/70 [02:35<00:00, 1.89s/it] 100%|██████████| 70/70 [02:35<00:00, 2.22s/it] Decoding latents in cuda:0... done in 1.97s Move latents to cpu... done in 0.03s
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
EnvyBetterHiresFixXL01
Envy Better Hires Fix Xl01
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/2ee116521f024cf7bdc81579c14f8bfe/00000-488143712.webp
https://files.tungsten.run/uploads/cae80274d4394cd4bdf383712e250315/00001-488143713.webp
https://files.tungsten.run/uploads/3e8d705930b8445097264dba1488a120/00002-488143714.webp
This example was created by sparks
Finished in 221.2 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: a paparazzi photo of a young caucasian woman, wearing a Christian Dior ballgown, standing, feet together, medium length wavy bleached blond hair, eyes open, neutral expression, mouth closed, eye contact, large breasts, arms by side, shallow depth of field, bokeh, <lora:add-detail-xl:1.0> Full negative prompt: asymmetric breasts, tattoo, amputation, missing fingers, floating limbs, illustration 0%| | 0/70 [00:00<?, ?it/s] 1%|▏ | 1/70 [00:03<03:56, 3.42s/it] 3%|▎ | 2/70 [00:05<03:04, 2.71s/it] 4%|▍ | 3/70 [00:07<02:46, 2.48s/it] 6%|▌ | 4/70 [00:10<02:36, 2.37s/it] 7%|▋ | 5/70 [00:12<02:30, 2.31s/it] 9%|▊ | 6/70 [00:14<02:25, 2.28s/it] 10%|█ | 7/70 [00:16<02:21, 2.25s/it] 11%|█▏ | 8/70 [00:18<02:18, 2.23s/it] 13%|█▎ | 9/70 [00:21<02:15, 2.22s/it] 14%|█▍ | 10/70 [00:23<02:12, 2.22s/it] 16%|█▌ | 11/70 [00:25<02:10, 2.21s/it] 17%|█▋ | 12/70 [00:27<02:07, 2.20s/it] 19%|█▊ | 13/70 [00:29<02:05, 2.20s/it] 20%|██ | 14/70 [00:32<02:02, 2.20s/it] 21%|██▏ | 15/70 [00:34<02:00, 2.19s/it] 23%|██▎ | 16/70 [00:36<01:58, 2.19s/it] 24%|██▍ | 17/70 [00:38<01:56, 2.19s/it] 26%|██▌ | 18/70 [00:40<01:53, 2.19s/it] 27%|██▋ | 19/70 [00:42<01:51, 2.19s/it] 29%|██▊ | 20/70 [00:45<01:49, 2.19s/it] 30%|███ | 21/70 [00:47<01:47, 2.19s/it] 31%|███▏ | 22/70 [00:49<01:45, 2.20s/it] 33%|███▎ | 23/70 [00:51<01:43, 2.20s/it] 34%|███▍ | 24/70 [00:53<01:41, 2.21s/it] 36%|███▌ | 25/70 [00:56<01:39, 2.21s/it] 37%|███▋ | 26/70 [00:58<01:37, 2.22s/it] 39%|███▊ | 27/70 [01:00<01:35, 2.22s/it] 40%|████ | 28/70 [01:02<01:33, 2.23s/it] 41%|████▏ | 29/70 [01:05<01:31, 2.24s/it] 43%|████▎ | 30/70 [01:07<01:29, 2.24s/it] 44%|████▍ | 31/70 [01:09<01:27, 2.25s/it] 46%|████▌ | 32/70 [01:11<01:25, 2.25s/it] 47%|████▋ | 33/70 [01:14<01:23, 2.25s/it] 49%|████▊ | 34/70 [01:16<01:21, 2.26s/it] 50%|█████ | 35/70 [01:18<01:18, 2.26s/it] 51%|█████▏ | 36/70 [01:20<01:16, 2.25s/it] 53%|█████▎ | 37/70 [01:23<01:14, 2.26s/it] 54%|█████▍ | 38/70 [01:25<01:12, 2.25s/it] 56%|█████▌ | 39/70 [01:27<01:10, 2.26s/it] 57%|█████▋ | 40/70 [01:30<01:07, 2.26s/it] 59%|█████▊ | 41/70 [01:32<01:05, 2.25s/it] 60%|██████ | 42/70 [01:34<01:02, 2.25s/it] 61%|██████▏ | 43/70 [01:36<01:00, 2.25s/it] 63%|██████▎ | 44/70 [01:38<00:58, 2.25s/it] 64%|██████▍ | 45/70 [01:41<00:56, 2.24s/it] 66%|██████▌ | 46/70 [01:43<00:53, 2.24s/it] 67%|██████▋ | 47/70 [01:45<00:51, 2.24s/it] 69%|██████▊ | 48/70 [01:47<00:49, 2.24s/it] 70%|███████ | 49/70 [01:50<00:46, 2.23s/it] 71%|███████▏ | 50/70 [01:52<00:44, 2.23s/it] 73%|███████▎ | 51/70 [01:54<00:42, 2.23s/it] 74%|███████▍ | 52/70 [01:56<00:40, 2.23s/it] 76%|███████▌ | 53/70 [01:59<00:37, 2.22s/it] 77%|███████▋ | 54/70 [02:01<00:35, 2.22s/it] 79%|███████▊ | 55/70 [02:03<00:33, 2.23s/it] 80%|████████ | 56/70 [02:05<00:31, 2.22s/it] 81%|████████▏ | 57/70 [02:07<00:28, 2.22s/it] 83%|████████▎ | 58/70 [02:10<00:26, 2.22s/it] 84%|████████▍ | 59/70 [02:12<00:24, 2.22s/it] 86%|████████▌ | 60/70 [02:14<00:22, 2.22s/it] 87%|████████▋ | 61/70 [02:16<00:19, 2.22s/it] 89%|████████▊ | 62/70 [02:19<00:17, 2.22s/it] 90%|█████████ | 63/70 [02:21<00:15, 2.22s/it] 91%|█████████▏| 64/70 [02:23<00:13, 2.22s/it] 93%|█████████▎| 65/70 [02:25<00:11, 2.22s/it] 94%|█████████▍| 66/70 [02:27<00:08, 2.22s/it] 96%|█████████▌| 67/70 [02:30<00:06, 2.22s/it] 97%|█████████▋| 68/70 [02:32<00:04, 2.22s/it] 99%|█████████▊| 69/70 [02:34<00:02, 2.22s/it] 100%|██████████| 70/70 [02:35<00:00, 1.89s/it] 100%|██████████| 70/70 [02:35<00:00, 2.22s/it] Decoding latents in cuda:0... done in 1.97s Move latents to cpu... done in 0.03s