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Beautiful Woman with Relic-C
Relic-C v1.0:v1.0
sparks
sparks
·
Mar 15
353
Input
prompt
Specify things to see in the output
a raw portrait photograph of a beautiful woman.
negative_prompt
Specify things to not see in the output
NSFW, man, big jaw, cartoon, manga, anime, plastic toy,
EnvyBetterHiresFixXL01
Envy Better Hires Fix Xl01
0.5
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
1024
enhance_face_with_adetailer
Enhance face with adetailer
false
enhance_hands_with_adetailer
Enhance hands with adetailer
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.55
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.
3717944856
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
Restart
samping_steps
Number of denoising steps
62
cfg_scale
Scale for classifier-free guidance
5
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/d83c178a5e854257a0048cf73e3836b5/00000-3717944856.webp
https://files.tungsten.run/uploads/9416d2e6b1534d4081cf029798a57b40/00001-3717944857.webp
https://files.tungsten.run/uploads/bddaa550dbd54dd6a3a6c5f1048b5b81/00002-3717944858.webp
Finished in 170.1 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: a raw portrait photograph of a beautiful woman., <lora:EnvyBetterHiresFixXL01:0.5>, <lora:add-detail-xl:1.0> Full negative prompt: NSFW, man, big jaw, cartoon, manga, anime, plastic toy, 0%| | 0/62 [00:00<?, ?it/s] 2%|▏ | 1/62 [00:04<04:14, 4.17s/it] 3%|▎ | 2/62 [00:06<03:12, 3.21s/it] 5%|▍ | 3/62 [00:09<02:51, 2.91s/it] 6%|▋ | 4/62 [00:11<02:40, 2.77s/it] 8%|▊ | 5/62 [00:14<02:33, 2.70s/it] 10%|▉ | 6/62 [00:16<02:28, 2.65s/it] 11%|█▏ | 7/62 [00:19<02:24, 2.62s/it] 13%|█▎ | 8/62 [00:22<02:20, 2.60s/it] 15%|█▍ | 9/62 [00:24<02:17, 2.59s/it] 16%|█▌ | 10/62 [00:27<02:14, 2.58s/it] 18%|█▊ | 11/62 [00:29<02:11, 2.58s/it] 19%|█▉ | 12/62 [00:32<02:08, 2.58s/it] 21%|██ | 13/62 [00:34<02:06, 2.58s/it] 23%|██▎ | 14/62 [00:37<02:03, 2.57s/it] 24%|██▍ | 15/62 [00:40<02:00, 2.57s/it] 26%|██▌ | 16/62 [00:42<01:58, 2.57s/it] 27%|██▋ | 17/62 [00:45<01:55, 2.57s/it] 29%|██▉ | 18/62 [00:47<01:53, 2.58s/it] 31%|███ | 19/62 [00:50<01:50, 2.58s/it] 32%|███▏ | 20/62 [00:52<01:48, 2.58s/it] 34%|███▍ | 21/62 [00:55<01:45, 2.58s/it] 35%|███▌ | 22/62 [00:58<01:43, 2.59s/it] 37%|███▋ | 23/62 [01:00<01:40, 2.59s/it] 39%|███▊ | 24/62 [01:03<01:38, 2.59s/it] 40%|████ | 25/62 [01:05<01:36, 2.59s/it] 42%|████▏ | 26/62 [01:08<01:33, 2.60s/it] 44%|████▎ | 27/62 [01:11<01:31, 2.61s/it] 45%|████▌ | 28/62 [01:13<01:28, 2.62s/it] 47%|████▋ | 29/62 [01:16<01:26, 2.62s/it] 48%|████▊ | 30/62 [01:19<01:24, 2.63s/it] 50%|█████ | 31/62 [01:21<01:21, 2.63s/it] 52%|█████▏ | 32/62 [01:24<01:19, 2.64s/it] 53%|█████▎ | 33/62 [01:27<01:16, 2.65s/it] 55%|█████▍ | 34/62 [01:29<01:14, 2.65s/it] 56%|█████▋ | 35/62 [01:32<01:11, 2.66s/it] 58%|█████▊ | 36/62 [01:35<01:09, 2.65s/it] 60%|█████▉ | 37/62 [01:37<01:06, 2.65s/it] 61%|██████▏ | 38/62 [01:40<01:03, 2.65s/it] 63%|██████▎ | 39/62 [01:42<01:01, 2.65s/it] 65%|██████▍ | 40/62 [01:45<00:58, 2.65s/it] 66%|██████▌ | 41/62 [01:48<00:55, 2.65s/it] 68%|██████▊ | 42/62 [01:50<00:52, 2.64s/it] 69%|██████▉ | 43/62 [01:53<00:50, 2.65s/it] 71%|███████ | 44/62 [01:56<00:47, 2.64s/it] 73%|███████▎ | 45/62 [01:58<00:44, 2.64s/it] 74%|███████▍ | 46/62 [02:01<00:42, 2.63s/it] 76%|███████▌ | 47/62 [02:04<00:39, 2.63s/it] 77%|███████▋ | 48/62 [02:06<00:36, 2.62s/it] 79%|███████▉ | 49/62 [02:09<00:34, 2.62s/it] 81%|████████ | 50/62 [02:11<00:31, 2.62s/it] 82%|████████▏ | 51/62 [02:14<00:28, 2.62s/it] 84%|████████▍ | 52/62 [02:17<00:26, 2.62s/it] 85%|████████▌ | 53/62 [02:19<00:23, 2.62s/it] 87%|████████▋ | 54/62 [02:22<00:20, 2.62s/it] 89%|████████▊ | 55/62 [02:24<00:18, 2.62s/it] 90%|█████████ | 56/62 [02:27<00:15, 2.62s/it] 92%|█████████▏| 57/62 [02:30<00:13, 2.62s/it] 94%|█████████▎| 58/62 [02:32<00:10, 2.61s/it] 95%|█████████▌| 59/62 [02:35<00:07, 2.61s/it] 97%|█████████▋| 60/62 [02:38<00:05, 2.61s/it] 98%|█████████▊| 61/62 [02:40<00:02, 2.61s/it] 100%|██████████| 62/62 [02:41<00:00, 2.22s/it] 100%|██████████| 62/62 [02:41<00:00, 2.61s/it] Decoding latents in cuda:0... done in 2.38s Move latents to cpu... done in 0.03s Uploading outputs... Finished.
prompt
Specify things to see in the output
a raw portrait photograph of a beautiful woman.
negative_prompt
Specify things to not see in the output
NSFW, man, big jaw, cartoon, manga, anime, plastic toy,
EnvyBetterHiresFixXL01
Envy Better Hires Fix Xl01
0.5
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
1024
enhance_face_with_adetailer
Enhance face with adetailer
false
enhance_hands_with_adetailer
Enhance hands with adetailer
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.55
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.
3717944856
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
Restart
samping_steps
Number of denoising steps
62
cfg_scale
Scale for classifier-free guidance
5
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/d83c178a5e854257a0048cf73e3836b5/00000-3717944856.webp
https://files.tungsten.run/uploads/9416d2e6b1534d4081cf029798a57b40/00001-3717944857.webp
https://files.tungsten.run/uploads/bddaa550dbd54dd6a3a6c5f1048b5b81/00002-3717944858.webp
Finished in 170.1 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: a raw portrait photograph of a beautiful woman., <lora:EnvyBetterHiresFixXL01:0.5>, <lora:add-detail-xl:1.0> Full negative prompt: NSFW, man, big jaw, cartoon, manga, anime, plastic toy, 0%| | 0/62 [00:00<?, ?it/s] 2%|▏ | 1/62 [00:04<04:14, 4.17s/it] 3%|▎ | 2/62 [00:06<03:12, 3.21s/it] 5%|▍ | 3/62 [00:09<02:51, 2.91s/it] 6%|▋ | 4/62 [00:11<02:40, 2.77s/it] 8%|▊ | 5/62 [00:14<02:33, 2.70s/it] 10%|▉ | 6/62 [00:16<02:28, 2.65s/it] 11%|█▏ | 7/62 [00:19<02:24, 2.62s/it] 13%|█▎ | 8/62 [00:22<02:20, 2.60s/it] 15%|█▍ | 9/62 [00:24<02:17, 2.59s/it] 16%|█▌ | 10/62 [00:27<02:14, 2.58s/it] 18%|█▊ | 11/62 [00:29<02:11, 2.58s/it] 19%|█▉ | 12/62 [00:32<02:08, 2.58s/it] 21%|██ | 13/62 [00:34<02:06, 2.58s/it] 23%|██▎ | 14/62 [00:37<02:03, 2.57s/it] 24%|██▍ | 15/62 [00:40<02:00, 2.57s/it] 26%|██▌ | 16/62 [00:42<01:58, 2.57s/it] 27%|██▋ | 17/62 [00:45<01:55, 2.57s/it] 29%|██▉ | 18/62 [00:47<01:53, 2.58s/it] 31%|███ | 19/62 [00:50<01:50, 2.58s/it] 32%|███▏ | 20/62 [00:52<01:48, 2.58s/it] 34%|███▍ | 21/62 [00:55<01:45, 2.58s/it] 35%|███▌ | 22/62 [00:58<01:43, 2.59s/it] 37%|███▋ | 23/62 [01:00<01:40, 2.59s/it] 39%|███▊ | 24/62 [01:03<01:38, 2.59s/it] 40%|████ | 25/62 [01:05<01:36, 2.59s/it] 42%|████▏ | 26/62 [01:08<01:33, 2.60s/it] 44%|████▎ | 27/62 [01:11<01:31, 2.61s/it] 45%|████▌ | 28/62 [01:13<01:28, 2.62s/it] 47%|████▋ | 29/62 [01:16<01:26, 2.62s/it] 48%|████▊ | 30/62 [01:19<01:24, 2.63s/it] 50%|█████ | 31/62 [01:21<01:21, 2.63s/it] 52%|█████▏ | 32/62 [01:24<01:19, 2.64s/it] 53%|█████▎ | 33/62 [01:27<01:16, 2.65s/it] 55%|█████▍ | 34/62 [01:29<01:14, 2.65s/it] 56%|█████▋ | 35/62 [01:32<01:11, 2.66s/it] 58%|█████▊ | 36/62 [01:35<01:09, 2.65s/it] 60%|█████▉ | 37/62 [01:37<01:06, 2.65s/it] 61%|██████▏ | 38/62 [01:40<01:03, 2.65s/it] 63%|██████▎ | 39/62 [01:42<01:01, 2.65s/it] 65%|██████▍ | 40/62 [01:45<00:58, 2.65s/it] 66%|██████▌ | 41/62 [01:48<00:55, 2.65s/it] 68%|██████▊ | 42/62 [01:50<00:52, 2.64s/it] 69%|██████▉ | 43/62 [01:53<00:50, 2.65s/it] 71%|███████ | 44/62 [01:56<00:47, 2.64s/it] 73%|███████▎ | 45/62 [01:58<00:44, 2.64s/it] 74%|███████▍ | 46/62 [02:01<00:42, 2.63s/it] 76%|███████▌ | 47/62 [02:04<00:39, 2.63s/it] 77%|███████▋ | 48/62 [02:06<00:36, 2.62s/it] 79%|███████▉ | 49/62 [02:09<00:34, 2.62s/it] 81%|████████ | 50/62 [02:11<00:31, 2.62s/it] 82%|████████▏ | 51/62 [02:14<00:28, 2.62s/it] 84%|████████▍ | 52/62 [02:17<00:26, 2.62s/it] 85%|████████▌ | 53/62 [02:19<00:23, 2.62s/it] 87%|████████▋ | 54/62 [02:22<00:20, 2.62s/it] 89%|████████▊ | 55/62 [02:24<00:18, 2.62s/it] 90%|█████████ | 56/62 [02:27<00:15, 2.62s/it] 92%|█████████▏| 57/62 [02:30<00:13, 2.62s/it] 94%|█████████▎| 58/62 [02:32<00:10, 2.61s/it] 95%|█████████▌| 59/62 [02:35<00:07, 2.61s/it] 97%|█████████▋| 60/62 [02:38<00:05, 2.61s/it] 98%|█████████▊| 61/62 [02:40<00:02, 2.61s/it] 100%|██████████| 62/62 [02:41<00:00, 2.22s/it] 100%|██████████| 62/62 [02:41<00:00, 2.61s/it] Decoding latents in cuda:0... done in 2.38s Move latents to cpu... done in 0.03s Uploading outputs... Finished.