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Rich Hamster with Nepotism NepotismXL
Nepotism (SDXL+PONY):NepotismXL
sparks
sparks
·
Jun 28
5
Input
prompt
Specify things to see in the output
a colorful cute hamster in a button-up, on the deck of a detailed fancy yacht at sea background, wearing gold jewelry
negative_prompt
Specify things to not see in the output
EnvyBetterHiresFixXL01
Envy Better Hires Fix Xl01
0
num_outputs
Number of output images
3
width
Output image width
960
height
Output image height
1280
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
0.4
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.
200000005
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++ 3M SDE Exponential
samping_steps
Number of denoising steps
45
cfg_scale
Scale for classifier-free guidance
4
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/09c8706430334c8eadc78ad918c48d1e/00000-200000005.webp
https://files.tungsten.run/uploads/82d3dce4e6264695a84292cf15331a47/00001-200000006.webp
https://files.tungsten.run/uploads/ae11caae477943d6bcb241a71371b201/00002-200000007.webp
Finished in 157.5 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: a colorful cute hamster in a button-up, on the deck of a detailed fancy yacht at sea background, wearing gold jewelry, <lora:add-detail-xl:1.0> Full negative prompt: 0%| | 0/45 [00:00<?, ?it/s] 2%|▏ | 1/45 [00:02<01:47, 2.45s/it] 4%|▍ | 2/45 [00:05<02:07, 2.96s/it] 7%|▋ | 3/45 [00:09<02:10, 3.11s/it] 9%|▉ | 4/45 [00:12<02:08, 3.12s/it] 11%|█ | 5/45 [00:15<02:08, 3.22s/it] 13%|█▎ | 6/45 [00:18<02:06, 3.24s/it] 16%|█▌ | 7/45 [00:22<02:02, 3.23s/it] 18%|█▊ | 8/45 [00:25<02:03, 3.35s/it] 20%|██ | 9/45 [00:28<01:58, 3.28s/it] 22%|██▏ | 10/45 [00:32<01:55, 3.29s/it] 24%|██▍ | 11/45 [00:35<01:52, 3.31s/it] 27%|██▋ | 12/45 [00:38<01:47, 3.26s/it] 29%|██▉ | 13/45 [00:41<01:43, 3.23s/it] 31%|███ | 14/45 [00:45<01:40, 3.25s/it] 33%|███▎ | 15/45 [00:48<01:36, 3.21s/it] 36%|███▌ | 16/45 [00:51<01:33, 3.23s/it] 38%|███▊ | 17/45 [00:54<01:30, 3.24s/it] 40%|████ | 18/45 [00:57<01:26, 3.21s/it] 42%|████▏ | 19/45 [01:00<01:22, 3.18s/it] 44%|████▍ | 20/45 [01:03<01:17, 3.10s/it] 47%|████▋ | 21/45 [01:06<01:14, 3.09s/it] 49%|████▉ | 22/45 [01:10<01:11, 3.10s/it] 51%|█████ | 23/45 [01:13<01:07, 3.06s/it] 53%|█████▎ | 24/45 [01:15<01:03, 3.02s/it] 56%|█████▌ | 25/45 [01:19<01:00, 3.05s/it] 58%|█████▊ | 26/45 [01:22<00:57, 3.03s/it] 60%|██████ | 27/45 [01:25<00:55, 3.10s/it] 62%|██████▏ | 28/45 [01:28<00:52, 3.11s/it] 64%|██████▍ | 29/45 [01:31<00:47, 2.97s/it] 67%|██████▋ | 30/45 [01:33<00:44, 2.94s/it] 69%|██████▉ | 31/45 [01:36<00:40, 2.91s/it] 71%|███████ | 32/45 [01:39<00:37, 2.88s/it] 73%|███████▎ | 33/45 [01:42<00:34, 2.85s/it] 76%|███████▌ | 34/45 [01:45<00:32, 2.97s/it] 78%|███████▊ | 35/45 [01:48<00:29, 2.91s/it] 80%|████████ | 36/45 [01:51<00:26, 2.90s/it] 82%|████████▏ | 37/45 [01:54<00:23, 2.89s/it] 84%|████████▍ | 38/45 [01:56<00:19, 2.84s/it] 87%|████████▋ | 39/45 [01:59<00:17, 2.87s/it] 89%|████████▉ | 40/45 [02:02<00:14, 2.85s/it] 91%|█████████ | 41/45 [02:05<00:11, 2.80s/it] 93%|█████████▎| 42/45 [02:08<00:08, 2.84s/it] 96%|█████████▌| 43/45 [02:11<00:05, 2.81s/it] 98%|█████████▊| 44/45 [02:12<00:02, 2.52s/it] 100%|██████████| 45/45 [02:14<00:00, 2.23s/it] 100%|██████████| 45/45 [02:14<00:00, 2.99s/it] Decoding latents in cuda:0... done in 2.86s Move latents to cpu... done in 0.01s [-] ADetailer: nothing detected on image 1 with 1st settings. [-] ADetailer: nothing detected on image 2 with 1st settings.
prompt
Specify things to see in the output
a colorful cute hamster in a button-up, on the deck of a detailed fancy yacht at sea background, wearing gold jewelry
negative_prompt
Specify things to not see in the output
EnvyBetterHiresFixXL01
Envy Better Hires Fix Xl01
0
num_outputs
Number of output images
3
width
Output image width
960
height
Output image height
1280
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
0.4
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.
200000005
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++ 3M SDE Exponential
samping_steps
Number of denoising steps
45
cfg_scale
Scale for classifier-free guidance
4
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/09c8706430334c8eadc78ad918c48d1e/00000-200000005.webp
https://files.tungsten.run/uploads/82d3dce4e6264695a84292cf15331a47/00001-200000006.webp
https://files.tungsten.run/uploads/ae11caae477943d6bcb241a71371b201/00002-200000007.webp
Finished in 157.5 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: a colorful cute hamster in a button-up, on the deck of a detailed fancy yacht at sea background, wearing gold jewelry, <lora:add-detail-xl:1.0> Full negative prompt: 0%| | 0/45 [00:00<?, ?it/s] 2%|▏ | 1/45 [00:02<01:47, 2.45s/it] 4%|▍ | 2/45 [00:05<02:07, 2.96s/it] 7%|▋ | 3/45 [00:09<02:10, 3.11s/it] 9%|▉ | 4/45 [00:12<02:08, 3.12s/it] 11%|█ | 5/45 [00:15<02:08, 3.22s/it] 13%|█▎ | 6/45 [00:18<02:06, 3.24s/it] 16%|█▌ | 7/45 [00:22<02:02, 3.23s/it] 18%|█▊ | 8/45 [00:25<02:03, 3.35s/it] 20%|██ | 9/45 [00:28<01:58, 3.28s/it] 22%|██▏ | 10/45 [00:32<01:55, 3.29s/it] 24%|██▍ | 11/45 [00:35<01:52, 3.31s/it] 27%|██▋ | 12/45 [00:38<01:47, 3.26s/it] 29%|██▉ | 13/45 [00:41<01:43, 3.23s/it] 31%|███ | 14/45 [00:45<01:40, 3.25s/it] 33%|███▎ | 15/45 [00:48<01:36, 3.21s/it] 36%|███▌ | 16/45 [00:51<01:33, 3.23s/it] 38%|███▊ | 17/45 [00:54<01:30, 3.24s/it] 40%|████ | 18/45 [00:57<01:26, 3.21s/it] 42%|████▏ | 19/45 [01:00<01:22, 3.18s/it] 44%|████▍ | 20/45 [01:03<01:17, 3.10s/it] 47%|████▋ | 21/45 [01:06<01:14, 3.09s/it] 49%|████▉ | 22/45 [01:10<01:11, 3.10s/it] 51%|█████ | 23/45 [01:13<01:07, 3.06s/it] 53%|█████▎ | 24/45 [01:15<01:03, 3.02s/it] 56%|█████▌ | 25/45 [01:19<01:00, 3.05s/it] 58%|█████▊ | 26/45 [01:22<00:57, 3.03s/it] 60%|██████ | 27/45 [01:25<00:55, 3.10s/it] 62%|██████▏ | 28/45 [01:28<00:52, 3.11s/it] 64%|██████▍ | 29/45 [01:31<00:47, 2.97s/it] 67%|██████▋ | 30/45 [01:33<00:44, 2.94s/it] 69%|██████▉ | 31/45 [01:36<00:40, 2.91s/it] 71%|███████ | 32/45 [01:39<00:37, 2.88s/it] 73%|███████▎ | 33/45 [01:42<00:34, 2.85s/it] 76%|███████▌ | 34/45 [01:45<00:32, 2.97s/it] 78%|███████▊ | 35/45 [01:48<00:29, 2.91s/it] 80%|████████ | 36/45 [01:51<00:26, 2.90s/it] 82%|████████▏ | 37/45 [01:54<00:23, 2.89s/it] 84%|████████▍ | 38/45 [01:56<00:19, 2.84s/it] 87%|████████▋ | 39/45 [01:59<00:17, 2.87s/it] 89%|████████▉ | 40/45 [02:02<00:14, 2.85s/it] 91%|█████████ | 41/45 [02:05<00:11, 2.80s/it] 93%|█████████▎| 42/45 [02:08<00:08, 2.84s/it] 96%|█████████▌| 43/45 [02:11<00:05, 2.81s/it] 98%|█████████▊| 44/45 [02:12<00:02, 2.52s/it] 100%|██████████| 45/45 [02:14<00:00, 2.23s/it] 100%|██████████| 45/45 [02:14<00:00, 2.99s/it] Decoding latents in cuda:0... done in 2.86s Move latents to cpu... done in 0.01s [-] ADetailer: nothing detected on image 1 with 1st settings. [-] ADetailer: nothing detected on image 2 with 1st settings.