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Nepotism (SDXL+PONY)
Nepotism (SDXL+PONY)

Nepotism (SDXL+PONY)

13 stars
Version: NepotismXL
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.
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Output
https://files.tungsten.run/uploads/afba59cafdc44115bb393e6e7901cf91/00000-200000000.webp
https://files.tungsten.run/uploads/de3074ca58fa457c8b7561c7b5491935/00001-200000001.webp
https://files.tungsten.run/uploads/a117bdfcc96a4cf285ff2174baca625a/00002-200000002.webp
This example was created by sparks
Finished in 142.0 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: puppy on soft fluffy sheets on the bed, fantasy dark blue and bright purple fur, red sheets, <lora:add-detail-xl:1.0> Full negative prompt: black fur, brown fur, white fur, blue sheets, blonde fur, tan fur 0%| | 0/45 [00:00<?, ?it/s] 2%|▏ | 1/45 [00:03<02:16, 3.10s/it] 4%|▍ | 2/45 [00:06<02:14, 3.13s/it] 7%|▋ | 3/45 [00:09<02:10, 3.11s/it] 9%|▉ | 4/45 [00:12<02:05, 3.07s/it] 11%|█ | 5/45 [00:15<02:04, 3.11s/it] 13%|█▎ | 6/45 [00:18<02:01, 3.11s/it] 16%|█▌ | 7/45 [00:21<01:57, 3.08s/it] 18%|█▊ | 8/45 [00:24<01:55, 3.12s/it] 20%|██ | 9/45 [00:27<01:49, 3.05s/it] 22%|██▏ | 10/45 [00:30<01:47, 3.08s/it] 24%|██▍ | 11/45 [00:34<01:45, 3.10s/it] 27%|██▋ | 12/45 [00:37<01:41, 3.07s/it] 29%|██▉ | 13/45 [00:40<01:37, 3.04s/it] 31%|███ | 14/45 [00:43<01:35, 3.06s/it] 33%|███▎ | 15/45 [00:46<01:31, 3.03s/it] 36%|███▌ | 16/45 [00:49<01:28, 3.04s/it] 38%|███▊ | 17/45 [00:52<01:25, 3.05s/it] 40%|████ | 18/45 [00:55<01:21, 3.02s/it] 42%|████▏ | 19/45 [00:58<01:18, 3.00s/it] 44%|████▍ | 20/45 [01:00<01:13, 2.93s/it] 47%|████▋ | 21/45 [01:03<01:11, 2.96s/it] 49%|████▉ | 22/45 [01:06<01:08, 2.99s/it] 51%|█████ | 23/45 [01:09<01:04, 2.94s/it] 53%|█████▎ | 24/45 [01:12<01:00, 2.89s/it] 56%|█████▌ | 25/45 [01:15<00:58, 2.92s/it] 58%|█████▊ | 26/45 [01:18<00:55, 2.90s/it] 60%|██████ | 27/45 [01:21<00:53, 2.96s/it] 62%|██████▏ | 28/45 [01:24<00:49, 2.91s/it] 64%|██████▍ | 29/45 [01:26<00:44, 2.79s/it] 67%|██████▋ | 30/45 [01:29<00:41, 2.78s/it] 69%|██████▉ | 31/45 [01:32<00:38, 2.76s/it] 71%|███████ | 32/45 [01:34<00:35, 2.73s/it] 73%|███████▎ | 33/45 [01:37<00:32, 2.71s/it] 76%|███████▌ | 34/45 [01:40<00:31, 2.82s/it] 78%|███████▊ | 35/45 [01:43<00:27, 2.76s/it] 80%|████████ | 36/45 [01:46<00:24, 2.75s/it] 82%|████████▏ | 37/45 [01:48<00:21, 2.74s/it] 84%|████████▍ | 38/45 [01:51<00:18, 2.69s/it] 87%|████████▋ | 39/45 [01:54<00:16, 2.72s/it] 89%|████████▉ | 40/45 [01:56<00:13, 2.71s/it] 91%|█████████ | 41/45 [01:59<00:10, 2.67s/it] 93%|█████████▎| 42/45 [02:02<00:08, 2.70s/it] 96%|█████████▌| 43/45 [02:04<00:05, 2.67s/it] 98%|█████████▊| 44/45 [02:06<00:02, 2.40s/it] 100%|██████████| 45/45 [02:08<00:00, 2.14s/it] 100%|██████████| 45/45 [02:08<00:00, 2.85s/it] Decoding latents in cuda:0... done in 2.82s Move latents to cpu... done in 0.02s
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.
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https://files.tungsten.run/uploads/afba59cafdc44115bb393e6e7901cf91/00000-200000000.webp
https://files.tungsten.run/uploads/de3074ca58fa457c8b7561c7b5491935/00001-200000001.webp
https://files.tungsten.run/uploads/a117bdfcc96a4cf285ff2174baca625a/00002-200000002.webp
This example was created by sparks
Finished in 142.0 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: puppy on soft fluffy sheets on the bed, fantasy dark blue and bright purple fur, red sheets, <lora:add-detail-xl:1.0> Full negative prompt: black fur, brown fur, white fur, blue sheets, blonde fur, tan fur 0%| | 0/45 [00:00<?, ?it/s] 2%|▏ | 1/45 [00:03<02:16, 3.10s/it] 4%|▍ | 2/45 [00:06<02:14, 3.13s/it] 7%|▋ | 3/45 [00:09<02:10, 3.11s/it] 9%|▉ | 4/45 [00:12<02:05, 3.07s/it] 11%|█ | 5/45 [00:15<02:04, 3.11s/it] 13%|█▎ | 6/45 [00:18<02:01, 3.11s/it] 16%|█▌ | 7/45 [00:21<01:57, 3.08s/it] 18%|█▊ | 8/45 [00:24<01:55, 3.12s/it] 20%|██ | 9/45 [00:27<01:49, 3.05s/it] 22%|██▏ | 10/45 [00:30<01:47, 3.08s/it] 24%|██▍ | 11/45 [00:34<01:45, 3.10s/it] 27%|██▋ | 12/45 [00:37<01:41, 3.07s/it] 29%|██▉ | 13/45 [00:40<01:37, 3.04s/it] 31%|███ | 14/45 [00:43<01:35, 3.06s/it] 33%|███▎ | 15/45 [00:46<01:31, 3.03s/it] 36%|███▌ | 16/45 [00:49<01:28, 3.04s/it] 38%|███▊ | 17/45 [00:52<01:25, 3.05s/it] 40%|████ | 18/45 [00:55<01:21, 3.02s/it] 42%|████▏ | 19/45 [00:58<01:18, 3.00s/it] 44%|████▍ | 20/45 [01:00<01:13, 2.93s/it] 47%|████▋ | 21/45 [01:03<01:11, 2.96s/it] 49%|████▉ | 22/45 [01:06<01:08, 2.99s/it] 51%|█████ | 23/45 [01:09<01:04, 2.94s/it] 53%|█████▎ | 24/45 [01:12<01:00, 2.89s/it] 56%|█████▌ | 25/45 [01:15<00:58, 2.92s/it] 58%|█████▊ | 26/45 [01:18<00:55, 2.90s/it] 60%|██████ | 27/45 [01:21<00:53, 2.96s/it] 62%|██████▏ | 28/45 [01:24<00:49, 2.91s/it] 64%|██████▍ | 29/45 [01:26<00:44, 2.79s/it] 67%|██████▋ | 30/45 [01:29<00:41, 2.78s/it] 69%|██████▉ | 31/45 [01:32<00:38, 2.76s/it] 71%|███████ | 32/45 [01:34<00:35, 2.73s/it] 73%|███████▎ | 33/45 [01:37<00:32, 2.71s/it] 76%|███████▌ | 34/45 [01:40<00:31, 2.82s/it] 78%|███████▊ | 35/45 [01:43<00:27, 2.76s/it] 80%|████████ | 36/45 [01:46<00:24, 2.75s/it] 82%|████████▏ | 37/45 [01:48<00:21, 2.74s/it] 84%|████████▍ | 38/45 [01:51<00:18, 2.69s/it] 87%|████████▋ | 39/45 [01:54<00:16, 2.72s/it] 89%|████████▉ | 40/45 [01:56<00:13, 2.71s/it] 91%|█████████ | 41/45 [01:59<00:10, 2.67s/it] 93%|█████████▎| 42/45 [02:02<00:08, 2.70s/it] 96%|█████████▌| 43/45 [02:04<00:05, 2.67s/it] 98%|█████████▊| 44/45 [02:06<00:02, 2.40s/it] 100%|██████████| 45/45 [02:08<00:00, 2.14s/it] 100%|██████████| 45/45 [02:08<00:00, 2.85s/it] Decoding latents in cuda:0... done in 2.82s Move latents to cpu... done in 0.02s