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Silver Dress with Natural Beauty XL
NaturalBeauty XL:v0.1
sparks
sparks
·
Mar 26
335
Input
prompt
Specify things to see in the output
an young asian woman, standing, (feet together:1.3), long straight dark brown hair, slight smile, mouth closed, eyes open, eye contact, large breasts, hands behind head, wearing a tight metallic lycra minidress, in a dark nightclub, laser lights, smoke machine
negative_prompt
Specify things to not see in the output
asymmetric breasts, tattoo, amputation, missing fingers, floating limbs, illustration
EnvyBetterHiresFixXL01
Envy Better Hires Fix Xl01
0
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1152
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.3
detail
Enhance/diminish detail while keeping the overall style/character
1
brightness
Adjust brightness
0
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2337790115
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.
0.55
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.
1
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.
1
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.
1
sampler
Sampler type
DPM++ 2S a Karras
samping_steps
Number of denoising steps
70
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
sdxl_vae.safetensors
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.
false
Output
https://files.tungsten.run/uploads/c64d4542edea4f10a76ff3c81f286eb1/00000-2337790115.webp
https://files.tungsten.run/uploads/b07f12b11284479cb220400a2420b1a0/00001-2337790116.webp
https://files.tungsten.run/uploads/54b9f91e604d4fc9af59f0e33c650737/00002-2337790117.webp
Finished in 228.9 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: an young asian woman, standing, (feet together:1.3), long straight dark brown hair, slight smile, mouth closed, eyes open, eye contact, large breasts, hands behind head, wearing a tight metallic lycra minidress, in a dark nightclub, laser lights, smoke machine, <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<03:58, 3.46s/it] 3%|▎ | 2/70 [00:05<03:08, 2.77s/it] 4%|▍ | 3/70 [00:08<02:50, 2.54s/it] 6%|▌ | 4/70 [00:10<02:40, 2.44s/it] 7%|▋ | 5/70 [00:12<02:34, 2.38s/it] 9%|▊ | 6/70 [00:14<02:30, 2.35s/it] 10%|█ | 7/70 [00:17<02:26, 2.33s/it] 11%|█▏ | 8/70 [00:19<02:23, 2.32s/it] 13%|█▎ | 9/70 [00:21<02:20, 2.31s/it] 14%|█▍ | 10/70 [00:24<02:18, 2.30s/it] 16%|█▌ | 11/70 [00:26<02:15, 2.30s/it] 17%|█▋ | 12/70 [00:28<02:13, 2.30s/it] 19%|█▊ | 13/70 [00:30<02:10, 2.29s/it] 20%|██ | 14/70 [00:33<02:08, 2.29s/it] 21%|██▏ | 15/70 [00:35<02:06, 2.29s/it] 23%|██▎ | 16/70 [00:37<02:04, 2.30s/it] 24%|██▍ | 17/70 [00:40<02:01, 2.30s/it] 26%|██▌ | 18/70 [00:42<01:59, 2.30s/it] 27%|██▋ | 19/70 [00:44<01:57, 2.30s/it] 29%|██▊ | 20/70 [00:46<01:55, 2.30s/it] 30%|███ | 21/70 [00:49<01:52, 2.30s/it] 31%|███▏ | 22/70 [00:51<01:50, 2.31s/it] 33%|███▎ | 23/70 [00:53<01:48, 2.31s/it] 34%|███▍ | 24/70 [00:56<01:46, 2.32s/it] 36%|███▌ | 25/70 [00:58<01:44, 2.32s/it] 37%|███▋ | 26/70 [01:00<01:42, 2.32s/it] 39%|███▊ | 27/70 [01:03<01:40, 2.33s/it] 40%|████ | 28/70 [01:05<01:37, 2.33s/it] 41%|████▏ | 29/70 [01:07<01:35, 2.33s/it] 43%|████▎ | 30/70 [01:10<01:33, 2.34s/it] 44%|████▍ | 31/70 [01:12<01:31, 2.34s/it] 46%|████▌ | 32/70 [01:14<01:29, 2.35s/it] 47%|████▋ | 33/70 [01:17<01:26, 2.35s/it] 49%|████▊ | 34/70 [01:19<01:24, 2.35s/it] 50%|█████ | 35/70 [01:22<01:22, 2.35s/it] 51%|█████▏ | 36/70 [01:24<01:19, 2.35s/it] 53%|█████▎ | 37/70 [01:26<01:17, 2.35s/it] 54%|█████▍ | 38/70 [01:29<01:15, 2.35s/it] 56%|█████▌ | 39/70 [01:31<01:12, 2.35s/it] 57%|█████▋ | 40/70 [01:33<01:10, 2.35s/it] 59%|█████▊ | 41/70 [01:36<01:08, 2.35s/it] 60%|██████ | 42/70 [01:38<01:05, 2.35s/it] 61%|██████▏ | 43/70 [01:40<01:03, 2.35s/it] 63%|██████▎ | 44/70 [01:43<01:01, 2.35s/it] 64%|██████▍ | 45/70 [01:45<00:58, 2.35s/it] 66%|██████▌ | 46/70 [01:47<00:56, 2.35s/it] 67%|██████▋ | 47/70 [01:50<00:53, 2.34s/it] 69%|██████▊ | 48/70 [01:52<00:51, 2.35s/it] 70%|███████ | 49/70 [01:54<00:49, 2.34s/it] 71%|███████▏ | 50/70 [01:57<00:46, 2.35s/it] 73%|███████▎ | 51/70 [01:59<00:44, 2.34s/it] 74%|███████▍ | 52/70 [02:01<00:42, 2.34s/it] 76%|███████▌ | 53/70 [02:04<00:39, 2.34s/it] 77%|███████▋ | 54/70 [02:06<00:37, 2.34s/it] 79%|███████▊ | 55/70 [02:08<00:35, 2.35s/it] 80%|████████ | 56/70 [02:11<00:32, 2.34s/it] 81%|████████▏ | 57/70 [02:13<00:30, 2.34s/it] 83%|████████▎ | 58/70 [02:15<00:27, 2.33s/it] 84%|████████▍ | 59/70 [02:18<00:25, 2.33s/it] 86%|████████▌ | 60/70 [02:20<00:23, 2.33s/it] 87%|████████▋ | 61/70 [02:22<00:20, 2.33s/it] 89%|████████▊ | 62/70 [02:25<00:18, 2.33s/it] 90%|█████████ | 63/70 [02:27<00:16, 2.33s/it] 91%|█████████▏| 64/70 [02:29<00:13, 2.33s/it] 93%|█████████▎| 65/70 [02:32<00:11, 2.33s/it] 94%|█████████▍| 66/70 [02:34<00:09, 2.34s/it] 96%|█████████▌| 67/70 [02:36<00:07, 2.34s/it] 97%|█████████▋| 68/70 [02:39<00:04, 2.34s/it] 99%|█████████▊| 69/70 [02:41<00:02, 2.34s/it] 100%|██████████| 70/70 [02:42<00:00, 1.98s/it] 100%|██████████| 70/70 [02:42<00:00, 2.33s/it] Decoding latents in cuda:0... done in 2.05s Move latents to cpu... done in 0.03s
prompt
Specify things to see in the output
an young asian woman, standing, (feet together:1.3), long straight dark brown hair, slight smile, mouth closed, eyes open, eye contact, large breasts, hands behind head, wearing a tight metallic lycra minidress, in a dark nightclub, laser lights, smoke machine
negative_prompt
Specify things to not see in the output
asymmetric breasts, tattoo, amputation, missing fingers, floating limbs, illustration
EnvyBetterHiresFixXL01
Envy Better Hires Fix Xl01
0
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1152
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.3
detail
Enhance/diminish detail while keeping the overall style/character
1
brightness
Adjust brightness
0
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2337790115
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.
0.55
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.
1
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.
1
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.
1
sampler
Sampler type
DPM++ 2S a Karras
samping_steps
Number of denoising steps
70
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
sdxl_vae.safetensors
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.
false
https://files.tungsten.run/uploads/c64d4542edea4f10a76ff3c81f286eb1/00000-2337790115.webp
https://files.tungsten.run/uploads/b07f12b11284479cb220400a2420b1a0/00001-2337790116.webp
https://files.tungsten.run/uploads/54b9f91e604d4fc9af59f0e33c650737/00002-2337790117.webp
Finished in 228.9 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: an young asian woman, standing, (feet together:1.3), long straight dark brown hair, slight smile, mouth closed, eyes open, eye contact, large breasts, hands behind head, wearing a tight metallic lycra minidress, in a dark nightclub, laser lights, smoke machine, <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<03:58, 3.46s/it] 3%|▎ | 2/70 [00:05<03:08, 2.77s/it] 4%|▍ | 3/70 [00:08<02:50, 2.54s/it] 6%|▌ | 4/70 [00:10<02:40, 2.44s/it] 7%|▋ | 5/70 [00:12<02:34, 2.38s/it] 9%|▊ | 6/70 [00:14<02:30, 2.35s/it] 10%|█ | 7/70 [00:17<02:26, 2.33s/it] 11%|█▏ | 8/70 [00:19<02:23, 2.32s/it] 13%|█▎ | 9/70 [00:21<02:20, 2.31s/it] 14%|█▍ | 10/70 [00:24<02:18, 2.30s/it] 16%|█▌ | 11/70 [00:26<02:15, 2.30s/it] 17%|█▋ | 12/70 [00:28<02:13, 2.30s/it] 19%|█▊ | 13/70 [00:30<02:10, 2.29s/it] 20%|██ | 14/70 [00:33<02:08, 2.29s/it] 21%|██▏ | 15/70 [00:35<02:06, 2.29s/it] 23%|██▎ | 16/70 [00:37<02:04, 2.30s/it] 24%|██▍ | 17/70 [00:40<02:01, 2.30s/it] 26%|██▌ | 18/70 [00:42<01:59, 2.30s/it] 27%|██▋ | 19/70 [00:44<01:57, 2.30s/it] 29%|██▊ | 20/70 [00:46<01:55, 2.30s/it] 30%|███ | 21/70 [00:49<01:52, 2.30s/it] 31%|███▏ | 22/70 [00:51<01:50, 2.31s/it] 33%|███▎ | 23/70 [00:53<01:48, 2.31s/it] 34%|███▍ | 24/70 [00:56<01:46, 2.32s/it] 36%|███▌ | 25/70 [00:58<01:44, 2.32s/it] 37%|███▋ | 26/70 [01:00<01:42, 2.32s/it] 39%|███▊ | 27/70 [01:03<01:40, 2.33s/it] 40%|████ | 28/70 [01:05<01:37, 2.33s/it] 41%|████▏ | 29/70 [01:07<01:35, 2.33s/it] 43%|████▎ | 30/70 [01:10<01:33, 2.34s/it] 44%|████▍ | 31/70 [01:12<01:31, 2.34s/it] 46%|████▌ | 32/70 [01:14<01:29, 2.35s/it] 47%|████▋ | 33/70 [01:17<01:26, 2.35s/it] 49%|████▊ | 34/70 [01:19<01:24, 2.35s/it] 50%|█████ | 35/70 [01:22<01:22, 2.35s/it] 51%|█████▏ | 36/70 [01:24<01:19, 2.35s/it] 53%|█████▎ | 37/70 [01:26<01:17, 2.35s/it] 54%|█████▍ | 38/70 [01:29<01:15, 2.35s/it] 56%|█████▌ | 39/70 [01:31<01:12, 2.35s/it] 57%|█████▋ | 40/70 [01:33<01:10, 2.35s/it] 59%|█████▊ | 41/70 [01:36<01:08, 2.35s/it] 60%|██████ | 42/70 [01:38<01:05, 2.35s/it] 61%|██████▏ | 43/70 [01:40<01:03, 2.35s/it] 63%|██████▎ | 44/70 [01:43<01:01, 2.35s/it] 64%|██████▍ | 45/70 [01:45<00:58, 2.35s/it] 66%|██████▌ | 46/70 [01:47<00:56, 2.35s/it] 67%|██████▋ | 47/70 [01:50<00:53, 2.34s/it] 69%|██████▊ | 48/70 [01:52<00:51, 2.35s/it] 70%|███████ | 49/70 [01:54<00:49, 2.34s/it] 71%|███████▏ | 50/70 [01:57<00:46, 2.35s/it] 73%|███████▎ | 51/70 [01:59<00:44, 2.34s/it] 74%|███████▍ | 52/70 [02:01<00:42, 2.34s/it] 76%|███████▌ | 53/70 [02:04<00:39, 2.34s/it] 77%|███████▋ | 54/70 [02:06<00:37, 2.34s/it] 79%|███████▊ | 55/70 [02:08<00:35, 2.35s/it] 80%|████████ | 56/70 [02:11<00:32, 2.34s/it] 81%|████████▏ | 57/70 [02:13<00:30, 2.34s/it] 83%|████████▎ | 58/70 [02:15<00:27, 2.33s/it] 84%|████████▍ | 59/70 [02:18<00:25, 2.33s/it] 86%|████████▌ | 60/70 [02:20<00:23, 2.33s/it] 87%|████████▋ | 61/70 [02:22<00:20, 2.33s/it] 89%|████████▊ | 62/70 [02:25<00:18, 2.33s/it] 90%|█████████ | 63/70 [02:27<00:16, 2.33s/it] 91%|█████████▏| 64/70 [02:29<00:13, 2.33s/it] 93%|█████████▎| 65/70 [02:32<00:11, 2.33s/it] 94%|█████████▍| 66/70 [02:34<00:09, 2.34s/it] 96%|█████████▌| 67/70 [02:36<00:07, 2.34s/it] 97%|█████████▋| 68/70 [02:39<00:04, 2.34s/it] 99%|█████████▊| 69/70 [02:41<00:02, 2.34s/it] 100%|██████████| 70/70 [02:42<00:00, 1.98s/it] 100%|██████████| 70/70 [02:42<00:00, 2.33s/it] Decoding latents in cuda:0... done in 2.05s Move latents to cpu... done in 0.03s