Version: v1.0
Input
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
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
saturation
Adjust saturation
num_outputs
Number of output images
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
width
Output image width
height
Output image height
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.
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.
Sign in to run this model for free!
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
This example was created by evevalentine2017
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
negative_prompt
Specify things to not see in the output
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
saturation
Adjust saturation
num_outputs
Number of output images
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
width
Output image width
height
Output image height
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.
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.
Sign in to run this model for free!
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
This example was created by evevalentine2017
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.