Version: v2.0
Input
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
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
saturation
Adjust saturation
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.
Sign in to run this model for free!
Output
https://files.tungsten.run/uploads/09f6a8f1f9334391933868a36251aa97/00000-1709831007.webp
https://files.tungsten.run/uploads/fc31a923ec9b4ccd9dd5a10ca447033c/00001-1709831008.webp
https://files.tungsten.run/uploads/64c22accb6ef483eb9702af95e79475a/00002-1709831009.webp
https://files.tungsten.run/uploads/cc1d297f0ff240abb80fc5f66a49f28c/00003-1709831010.webp
This example was created by evevalentine2017
Finished in 165.3 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: (detailed face, detailed eyes, clear skin, clear eyes), lotr, fantasy, elf, female, silver hair, looking at viewer, portrait, photography, detailed skin, realistic, photo-realistic, 8k, highly detailed, full length frame, High detail RAW color art, piercing, diffused soft lighting, shallow depth of field, sharp focus, hyperrealism, cinematic lighting, epiCPhoto Full negative prompt: BadDream, (UnrealisticDream:1.2), 3d, cg, render, smooth skin, anime, cartoon, epiCNegative 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:03<01:27, 3.01s/it] 7%|▋ | 2/30 [00:08<01:57, 4.20s/it] 10%|█ | 3/30 [00:12<01:52, 4.17s/it] 13%|█▎ | 4/30 [00:16<01:48, 4.19s/it] 17%|█▋ | 5/30 [00:20<01:46, 4.26s/it] 20%|██ | 6/30 [00:25<01:42, 4.28s/it] 23%|██▎ | 7/30 [00:29<01:39, 4.34s/it] 27%|██▋ | 8/30 [00:33<01:33, 4.27s/it] 30%|███ | 9/30 [00:38<01:31, 4.34s/it] 33%|███▎ | 10/30 [00:42<01:27, 4.39s/it] 37%|███▋ | 11/30 [00:46<01:21, 4.30s/it] 40%|████ | 12/30 [00:50<01:14, 4.14s/it] 43%|████▎ | 13/30 [00:54<01:10, 4.15s/it] 47%|████▋ | 14/30 [00:57<01:01, 3.83s/it] 50%|█████ | 15/30 [01:00<00:52, 3.53s/it] 53%|█████▎ | 16/30 [01:03<00:46, 3.32s/it] 57%|█████▋ | 17/30 [01:06<00:40, 3.13s/it] 60%|██████ | 18/30 [01:09<00:38, 3.18s/it] 63%|██████▎ | 19/30 [01:12<00:35, 3.21s/it] 67%|██████▋ | 20/30 [01:15<00:30, 3.10s/it] 70%|███████ | 21/30 [01:19<00:28, 3.20s/it] 73%|███████▎ | 22/30 [01:22<00:25, 3.23s/it] 77%|███████▋ | 23/30 [01:25<00:21, 3.08s/it] 80%|████████ | 24/30 [01:28<00:18, 3.08s/it] 83%|████████▎ | 25/30 [01:32<00:17, 3.41s/it] 87%|████████▋ | 26/30 [01:35<00:13, 3.31s/it] 90%|█████████ | 27/30 [01:38<00:09, 3.15s/it] 93%|█████████▎| 28/30 [01:40<00:06, 3.00s/it] 97%|█████████▋| 29/30 [01:42<00:02, 2.68s/it] 100%|██████████| 30/30 [01:43<00:00, 2.08s/it] 100%|██████████| 30/30 [01:43<00:00, 3.45s/it] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.9ms Speed: 3.1ms preprocess, 7.9ms inference, 23.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:01<00:14, 1.08s/it] 14%|█▍ | 2/14 [00:02<00:11, 1.00it/s] 21%|██▏ | 3/14 [00:02<00:10, 1.04it/s] 29%|██▊ | 4/14 [00:03<00:09, 1.10it/s] 36%|███▌ | 5/14 [00:04<00:08, 1.09it/s] 43%|████▎ | 6/14 [00:05<00:07, 1.10it/s] 50%|█████ | 7/14 [00:06<00:05, 1.18it/s] 57%|█████▋ | 8/14 [00:07<00:04, 1.22it/s] 64%|██████▍ | 9/14 [00:07<00:04, 1.17it/s] 71%|███████▏ | 10/14 [00:08<00:03, 1.16it/s] 79%|███████▊ | 11/14 [00:09<00:02, 1.10it/s] 86%|████████▌ | 12/14 [00:10<00:01, 1.08it/s] 93%|█████████▎| 13/14 [00:11<00:00, 1.18it/s] 100%|██████████| 14/14 [00:11<00:00, 1.46it/s] 100%|██████████| 14/14 [00:11<00:00, 1.18it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 9.5ms Speed: 3.2ms preprocess, 9.5ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings.
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
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
saturation
Adjust saturation
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.
Sign in to run this model for free!
https://files.tungsten.run/uploads/09f6a8f1f9334391933868a36251aa97/00000-1709831007.webp
https://files.tungsten.run/uploads/fc31a923ec9b4ccd9dd5a10ca447033c/00001-1709831008.webp
https://files.tungsten.run/uploads/64c22accb6ef483eb9702af95e79475a/00002-1709831009.webp
https://files.tungsten.run/uploads/cc1d297f0ff240abb80fc5f66a49f28c/00003-1709831010.webp
This example was created by evevalentine2017
Finished in 165.3 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: (detailed face, detailed eyes, clear skin, clear eyes), lotr, fantasy, elf, female, silver hair, looking at viewer, portrait, photography, detailed skin, realistic, photo-realistic, 8k, highly detailed, full length frame, High detail RAW color art, piercing, diffused soft lighting, shallow depth of field, sharp focus, hyperrealism, cinematic lighting, epiCPhoto Full negative prompt: BadDream, (UnrealisticDream:1.2), 3d, cg, render, smooth skin, anime, cartoon, epiCNegative 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:03<01:27, 3.01s/it] 7%|▋ | 2/30 [00:08<01:57, 4.20s/it] 10%|█ | 3/30 [00:12<01:52, 4.17s/it] 13%|█▎ | 4/30 [00:16<01:48, 4.19s/it] 17%|█▋ | 5/30 [00:20<01:46, 4.26s/it] 20%|██ | 6/30 [00:25<01:42, 4.28s/it] 23%|██▎ | 7/30 [00:29<01:39, 4.34s/it] 27%|██▋ | 8/30 [00:33<01:33, 4.27s/it] 30%|███ | 9/30 [00:38<01:31, 4.34s/it] 33%|███▎ | 10/30 [00:42<01:27, 4.39s/it] 37%|███▋ | 11/30 [00:46<01:21, 4.30s/it] 40%|████ | 12/30 [00:50<01:14, 4.14s/it] 43%|████▎ | 13/30 [00:54<01:10, 4.15s/it] 47%|████▋ | 14/30 [00:57<01:01, 3.83s/it] 50%|█████ | 15/30 [01:00<00:52, 3.53s/it] 53%|█████▎ | 16/30 [01:03<00:46, 3.32s/it] 57%|█████▋ | 17/30 [01:06<00:40, 3.13s/it] 60%|██████ | 18/30 [01:09<00:38, 3.18s/it] 63%|██████▎ | 19/30 [01:12<00:35, 3.21s/it] 67%|██████▋ | 20/30 [01:15<00:30, 3.10s/it] 70%|███████ | 21/30 [01:19<00:28, 3.20s/it] 73%|███████▎ | 22/30 [01:22<00:25, 3.23s/it] 77%|███████▋ | 23/30 [01:25<00:21, 3.08s/it] 80%|████████ | 24/30 [01:28<00:18, 3.08s/it] 83%|████████▎ | 25/30 [01:32<00:17, 3.41s/it] 87%|████████▋ | 26/30 [01:35<00:13, 3.31s/it] 90%|█████████ | 27/30 [01:38<00:09, 3.15s/it] 93%|█████████▎| 28/30 [01:40<00:06, 3.00s/it] 97%|█████████▋| 29/30 [01:42<00:02, 2.68s/it] 100%|██████████| 30/30 [01:43<00:00, 2.08s/it] 100%|██████████| 30/30 [01:43<00:00, 3.45s/it] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.9ms Speed: 3.1ms preprocess, 7.9ms inference, 23.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:01<00:14, 1.08s/it] 14%|█▍ | 2/14 [00:02<00:11, 1.00it/s] 21%|██▏ | 3/14 [00:02<00:10, 1.04it/s] 29%|██▊ | 4/14 [00:03<00:09, 1.10it/s] 36%|███▌ | 5/14 [00:04<00:08, 1.09it/s] 43%|████▎ | 6/14 [00:05<00:07, 1.10it/s] 50%|█████ | 7/14 [00:06<00:05, 1.18it/s] 57%|█████▋ | 8/14 [00:07<00:04, 1.22it/s] 64%|██████▍ | 9/14 [00:07<00:04, 1.17it/s] 71%|███████▏ | 10/14 [00:08<00:03, 1.16it/s] 79%|███████▊ | 11/14 [00:09<00:02, 1.10it/s] 86%|████████▌ | 12/14 [00:10<00:01, 1.08it/s] 93%|█████████▎| 13/14 [00:11<00:00, 1.18it/s] 100%|██████████| 14/14 [00:11<00:00, 1.46it/s] 100%|██████████| 14/14 [00:11<00:00, 1.18it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 9.5ms Speed: 3.2ms preprocess, 9.5ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings.