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Cute Gnolls with SimplyBeautiful
simplybeautiful:v1.0
evevalentine2017
evevalentine2017
·
12/11/2023
334
Input
prompt
Specify things to see in the output
Gnoll Pack Lord boy, cute, sexy, cartoon character, super deformed, anime, manga, cosplay, pop culture, eye-catching, colorful, fun, quirky, adorable
negative_prompt
Specify things to not see in the output
blurry, EasyNegativeV2, bad-hands-5, (worst quality, low quality:1.4), loli, child, young, teenager, childlike, teen
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
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0.1
brightness
Adjust brightness
0
contrast
Adjust contrast
0.2
saturation
Adjust saturation
0
num_outputs
Number of output images
4
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2561730186
width
Output image width
768
height
Output image height
768
reference_image
Image that the output should be similar to
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++ 2M Karras
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
blessed2_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
deep.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
offset_p-0.5-0.1.pt
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
FaceBeauty_qinglong_V3.safetensors
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
EasyNegativeV2.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-hands-5.pt
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/7c3052aafe5d4f6397524e71ba7f53b9/00000-2561730186.png
https://files.tungsten.run/uploads/277ed6fb1b1c4665a6a9a295037e424e/00001-2561730187.png
https://files.tungsten.run/uploads/de622cf4897749d3bf2d89e9aba55c62/00002-2561730188.png
https://files.tungsten.run/uploads/4ade95eb0ac0489482c2a7d052b6b41e/00003-2561730189.png
Finished in 39.7 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: Gnoll Pack Lord boy, cute, sexy, cartoon character, super deformed, anime, manga, cosplay, pop culture, eye-catching, colorful, fun, quirky, adorable, (masterpiece:1.5), (best quality:1.5), (ultra detailed:1.5), (ultra realistic:1.5), <lora:add_detail:0.1>, <lora:contrast_slider_v10:0.2> Full negative prompt: blurry, EasyNegativeV2, bad-hands-5, (worst quality, low quality:1.4), loli, child, young, teenager, childlike, teen 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:37, 1.29s/it] 7%|▋ | 2/30 [00:01<00:26, 1.07it/s] 10%|█ | 3/30 [00:02<00:21, 1.24it/s] 13%|█▎ | 4/30 [00:03<00:19, 1.32it/s] 17%|█▋ | 5/30 [00:03<00:18, 1.38it/s] 20%|██ | 6/30 [00:04<00:16, 1.42it/s] 23%|██▎ | 7/30 [00:05<00:15, 1.44it/s] 27%|██▋ | 8/30 [00:05<00:15, 1.45it/s] 30%|███ | 9/30 [00:06<00:14, 1.45it/s] 33%|███▎ | 10/30 [00:07<00:13, 1.46it/s] 37%|███▋ | 11/30 [00:08<00:13, 1.46it/s] 40%|████ | 12/30 [00:08<00:12, 1.46it/s] 43%|████▎ | 13/30 [00:09<00:11, 1.46it/s] 47%|████▋ | 14/30 [00:10<00:11, 1.45it/s] 50%|█████ | 15/30 [00:10<00:10, 1.45it/s] 53%|█████▎ | 16/30 [00:11<00:09, 1.45it/s] 57%|█████▋ | 17/30 [00:12<00:08, 1.45it/s] 60%|██████ | 18/30 [00:12<00:08, 1.45it/s] 63%|██████▎ | 19/30 [00:13<00:07, 1.46it/s] 67%|██████▋ | 20/30 [00:14<00:06, 1.46it/s] 70%|███████ | 21/30 [00:14<00:06, 1.46it/s] 73%|███████▎ | 22/30 [00:15<00:05, 1.46it/s] 77%|███████▋ | 23/30 [00:16<00:04, 1.46it/s] 80%|████████ | 24/30 [00:16<00:04, 1.47it/s] 83%|████████▎ | 25/30 [00:17<00:03, 1.46it/s] 87%|████████▋ | 26/30 [00:18<00:02, 1.46it/s] 90%|█████████ | 27/30 [00:19<00:02, 1.46it/s] 93%|█████████▎| 28/30 [00:19<00:01, 1.46it/s] 97%|█████████▋| 29/30 [00:20<00:00, 1.47it/s] 100%|██████████| 30/30 [00:21<00:00, 1.47it/s] 100%|██████████| 30/30 [00:21<00:00, 1.42it/s] Decoding latents in cuda:0... =========================================== A tensor with all NaNs was produced in VAE. Converted VAE into 32-bit float and retry. =========================================== done in 1.97s Move latents to cpu... done in 0.02s 0: 640x640 (no detections), 7.9ms Speed: 3.3ms preprocess, 7.9ms inference, 8.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x640 (no detections), 7.6ms Speed: 2.8ms preprocess, 7.6ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x640 (no detections), 7.5ms Speed: 2.7ms preprocess, 7.5ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. 0: 640x640 1 face, 7.4ms Speed: 2.7ms preprocess, 7.4ms inference, 13.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:04, 3.40it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.78it/s] 18%|█▊ | 3/17 [00:00<00:02, 5.45it/s] 24%|██▎ | 4/17 [00:00<00:02, 5.85it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.06it/s] 35%|███▌ | 6/17 [00:01<00:01, 6.07it/s] 41%|████ | 7/17 [00:01<00:01, 6.12it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.21it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.31it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.39it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.42it/s] 71%|███████ | 12/17 [00:02<00:00, 6.39it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.32it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.30it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.35it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.38it/s] 100%|██████████| 17/17 [00:02<00:00, 6.42it/s] 100%|██████████| 17/17 [00:02<00:00, 6.10it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s Finished.
prompt
Specify things to see in the output
Gnoll Pack Lord boy, cute, sexy, cartoon character, super deformed, anime, manga, cosplay, pop culture, eye-catching, colorful, fun, quirky, adorable
negative_prompt
Specify things to not see in the output
blurry, EasyNegativeV2, bad-hands-5, (worst quality, low quality:1.4), loli, child, young, teenager, childlike, teen
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
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0.1
brightness
Adjust brightness
0
contrast
Adjust contrast
0.2
saturation
Adjust saturation
0
num_outputs
Number of output images
4
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2561730186
width
Output image width
768
height
Output image height
768
reference_image
Image that the output should be similar to
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++ 2M Karras
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
blessed2_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
deep.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
offset_p-0.5-0.1.pt
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
FaceBeauty_qinglong_V3.safetensors
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
EasyNegativeV2.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-hands-5.pt
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/7c3052aafe5d4f6397524e71ba7f53b9/00000-2561730186.png
https://files.tungsten.run/uploads/277ed6fb1b1c4665a6a9a295037e424e/00001-2561730187.png
https://files.tungsten.run/uploads/de622cf4897749d3bf2d89e9aba55c62/00002-2561730188.png
https://files.tungsten.run/uploads/4ade95eb0ac0489482c2a7d052b6b41e/00003-2561730189.png
Finished in 39.7 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: Gnoll Pack Lord boy, cute, sexy, cartoon character, super deformed, anime, manga, cosplay, pop culture, eye-catching, colorful, fun, quirky, adorable, (masterpiece:1.5), (best quality:1.5), (ultra detailed:1.5), (ultra realistic:1.5), <lora:add_detail:0.1>, <lora:contrast_slider_v10:0.2> Full negative prompt: blurry, EasyNegativeV2, bad-hands-5, (worst quality, low quality:1.4), loli, child, young, teenager, childlike, teen 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:37, 1.29s/it] 7%|▋ | 2/30 [00:01<00:26, 1.07it/s] 10%|█ | 3/30 [00:02<00:21, 1.24it/s] 13%|█▎ | 4/30 [00:03<00:19, 1.32it/s] 17%|█▋ | 5/30 [00:03<00:18, 1.38it/s] 20%|██ | 6/30 [00:04<00:16, 1.42it/s] 23%|██▎ | 7/30 [00:05<00:15, 1.44it/s] 27%|██▋ | 8/30 [00:05<00:15, 1.45it/s] 30%|███ | 9/30 [00:06<00:14, 1.45it/s] 33%|███▎ | 10/30 [00:07<00:13, 1.46it/s] 37%|███▋ | 11/30 [00:08<00:13, 1.46it/s] 40%|████ | 12/30 [00:08<00:12, 1.46it/s] 43%|████▎ | 13/30 [00:09<00:11, 1.46it/s] 47%|████▋ | 14/30 [00:10<00:11, 1.45it/s] 50%|█████ | 15/30 [00:10<00:10, 1.45it/s] 53%|█████▎ | 16/30 [00:11<00:09, 1.45it/s] 57%|█████▋ | 17/30 [00:12<00:08, 1.45it/s] 60%|██████ | 18/30 [00:12<00:08, 1.45it/s] 63%|██████▎ | 19/30 [00:13<00:07, 1.46it/s] 67%|██████▋ | 20/30 [00:14<00:06, 1.46it/s] 70%|███████ | 21/30 [00:14<00:06, 1.46it/s] 73%|███████▎ | 22/30 [00:15<00:05, 1.46it/s] 77%|███████▋ | 23/30 [00:16<00:04, 1.46it/s] 80%|████████ | 24/30 [00:16<00:04, 1.47it/s] 83%|████████▎ | 25/30 [00:17<00:03, 1.46it/s] 87%|████████▋ | 26/30 [00:18<00:02, 1.46it/s] 90%|█████████ | 27/30 [00:19<00:02, 1.46it/s] 93%|█████████▎| 28/30 [00:19<00:01, 1.46it/s] 97%|█████████▋| 29/30 [00:20<00:00, 1.47it/s] 100%|██████████| 30/30 [00:21<00:00, 1.47it/s] 100%|██████████| 30/30 [00:21<00:00, 1.42it/s] Decoding latents in cuda:0... =========================================== A tensor with all NaNs was produced in VAE. Converted VAE into 32-bit float and retry. =========================================== done in 1.97s Move latents to cpu... done in 0.02s 0: 640x640 (no detections), 7.9ms Speed: 3.3ms preprocess, 7.9ms inference, 8.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x640 (no detections), 7.6ms Speed: 2.8ms preprocess, 7.6ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x640 (no detections), 7.5ms Speed: 2.7ms preprocess, 7.5ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. 0: 640x640 1 face, 7.4ms Speed: 2.7ms preprocess, 7.4ms inference, 13.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:04, 3.40it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.78it/s] 18%|█▊ | 3/17 [00:00<00:02, 5.45it/s] 24%|██▎ | 4/17 [00:00<00:02, 5.85it/s] 29%|██▉ | 5/17 [00:00<00:01, 6.06it/s] 35%|███▌ | 6/17 [00:01<00:01, 6.07it/s] 41%|████ | 7/17 [00:01<00:01, 6.12it/s] 47%|████▋ | 8/17 [00:01<00:01, 6.21it/s] 53%|█████▎ | 9/17 [00:01<00:01, 6.31it/s] 59%|█████▉ | 10/17 [00:01<00:01, 6.39it/s] 65%|██████▍ | 11/17 [00:01<00:00, 6.42it/s] 71%|███████ | 12/17 [00:02<00:00, 6.39it/s] 76%|███████▋ | 13/17 [00:02<00:00, 6.32it/s] 82%|████████▏ | 14/17 [00:02<00:00, 6.30it/s] 88%|████████▊ | 15/17 [00:02<00:00, 6.35it/s] 94%|█████████▍| 16/17 [00:02<00:00, 6.38it/s] 100%|██████████| 17/17 [00:02<00:00, 6.42it/s] 100%|██████████| 17/17 [00:02<00:00, 6.10it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s Finished.