Version: v1.0
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.
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Output
https://files.tungsten.run/uploads/13686270b0f441acb2df0426f64d329b/00000-1220964392.webp
https://files.tungsten.run/uploads/3c7afd7a5ae4436e8e3f8e4b9ff0b980/00001-1220964393.webp
https://files.tungsten.run/uploads/4eb2070cdb9a427d852b1bedfa469cee/00002-1220964394.webp
https://files.tungsten.run/uploads/1a3c8dba1dff4eadbbf9314820a7ca1f/00003-1220964395.webp
This example was created by evevalentine2017
Finished in 92.4 seconds
v1.0: Pulling from evevalentine2017/realistic-art 578acb154839: Already exists ac65017cfc56: Already exists 146269b80f9c: Already exists b51bc62cc3ca: Already exists 4ba34dd48a55: Already exists 2c0d7edf2b4f: Already exists bd3aa092d934: Already exists a2a0b079260c: Already exists 48e8a1cea0b1: Already exists 607175607db9: Already exists 44762e60be28: Already exists d1e8a6995bc7: Already exists 8915fc22d7d8: Already exists e186b03af121: Already exists 4f4fb700ef54: Already exists 030de23c0760: Already exists 2e242ae980de: Pull complete d66bcd2d3f4b: Pull complete b391be0a2e5c: Pull complete Setting up the model... Processing... Full prompt: hyper detailed masterpiece, dynamic realistic digital art, awesome quality, airbrushed patterns urban institute, restrictive house, babbling village vignetting, ethereal duality, cultish, <lora:epiCRealismHelper:1>, , <lora:add_saturation:-0.52> Full negative prompt: mirrored, cloned, duplicate, ugly, deformed, signature, watermark, realisticvision-negative-embedding 0%| | 0/46 [00:00<?, ?it/s] 2%|▏ | 1/46 [00:01<01:26, 1.93s/it] 4%|▍ | 2/46 [00:03<01:19, 1.80s/it] 7%|▋ | 3/46 [00:05<01:19, 1.85s/it] 9%|▊ | 4/46 [00:07<01:19, 1.90s/it] 11%|█ | 5/46 [00:09<01:14, 1.83s/it] 13%|█▎ | 6/46 [00:11<01:12, 1.81s/it] 15%|█▌ | 7/46 [00:12<01:11, 1.84s/it] 17%|█▋ | 8/46 [00:14<01:10, 1.86s/it] 20%|█▉ | 9/46 [00:16<01:07, 1.83s/it] 22%|██▏ | 10/46 [00:18<01:04, 1.81s/it] 24%|██▍ | 11/46 [00:20<01:02, 1.78s/it] 26%|██▌ | 12/46 [00:21<00:59, 1.76s/it] 28%|██▊ | 13/46 [00:23<00:58, 1.79s/it] 30%|███ | 14/46 [00:25<00:57, 1.80s/it] 33%|███▎ | 15/46 [00:27<00:54, 1.76s/it] 35%|███▍ | 16/46 [00:28<00:51, 1.73s/it] 37%|███▋ | 17/46 [00:30<00:51, 1.78s/it] 39%|███▉ | 18/46 [00:32<00:48, 1.73s/it] 41%|████▏ | 19/46 [00:33<00:46, 1.72s/it] 43%|████▎ | 20/46 [00:35<00:45, 1.74s/it] 46%|████▌ | 21/46 [00:37<00:43, 1.75s/it] 48%|████▊ | 22/46 [00:39<00:41, 1.74s/it] 50%|█████ | 23/46 [00:40<00:39, 1.71s/it] 52%|█████▏ | 24/46 [00:42<00:37, 1.72s/it] 54%|█████▍ | 25/46 [00:44<00:36, 1.76s/it] 57%|█████▋ | 26/46 [00:46<00:34, 1.73s/it] 59%|█████▊ | 27/46 [00:47<00:32, 1.73s/it] 61%|██████ | 28/46 [00:49<00:31, 1.73s/it] 63%|██████▎ | 29/46 [00:51<00:29, 1.72s/it] 65%|██████▌ | 30/46 [00:53<00:27, 1.74s/it] 67%|██████▋ | 31/46 [00:54<00:24, 1.64s/it] 70%|██████▉ | 32/46 [00:55<00:21, 1.57s/it] 72%|███████▏ | 33/46 [00:57<00:20, 1.56s/it] 74%|███████▍ | 34/46 [00:59<00:18, 1.58s/it] 76%|███████▌ | 35/46 [01:00<00:17, 1.57s/it] 78%|███████▊ | 36/46 [01:02<00:16, 1.60s/it] 80%|████████ | 37/46 [01:03<00:14, 1.56s/it] 83%|████████▎ | 38/46 [01:05<00:12, 1.58s/it] 85%|████████▍ | 39/46 [01:06<00:10, 1.55s/it] 87%|████████▋ | 40/46 [01:08<00:09, 1.56s/it] 89%|████████▉ | 41/46 [01:09<00:07, 1.54s/it] 91%|█████████▏| 42/46 [01:11<00:06, 1.54s/it] 93%|█████████▎| 43/46 [01:12<00:04, 1.48s/it] 96%|█████████▌| 44/46 [01:14<00:03, 1.51s/it] 98%|█████████▊| 45/46 [01:15<00:01, 1.30s/it] 100%|██████████| 46/46 [01:15<00:00, 1.11s/it] 100%|██████████| 46/46 [01:15<00:00, 1.65s/it] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.02s 0: 640x640 (no detections), 7.3ms Speed: 3.5ms preprocess, 7.3ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x640 (no detections), 7.5ms Speed: 2.6ms preprocess, 7.5ms 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), 19.7ms Speed: 2.6ms preprocess, 19.7ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. 0: 640x640 (no detections), 7.1ms Speed: 2.7ms preprocess, 7.1ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 1st settings. Uploading outputs... Finished.
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/13686270b0f441acb2df0426f64d329b/00000-1220964392.webp
https://files.tungsten.run/uploads/3c7afd7a5ae4436e8e3f8e4b9ff0b980/00001-1220964393.webp
https://files.tungsten.run/uploads/4eb2070cdb9a427d852b1bedfa469cee/00002-1220964394.webp
https://files.tungsten.run/uploads/1a3c8dba1dff4eadbbf9314820a7ca1f/00003-1220964395.webp
This example was created by evevalentine2017
Finished in 92.4 seconds
v1.0: Pulling from evevalentine2017/realistic-art 578acb154839: Already exists ac65017cfc56: Already exists 146269b80f9c: Already exists b51bc62cc3ca: Already exists 4ba34dd48a55: Already exists 2c0d7edf2b4f: Already exists bd3aa092d934: Already exists a2a0b079260c: Already exists 48e8a1cea0b1: Already exists 607175607db9: Already exists 44762e60be28: Already exists d1e8a6995bc7: Already exists 8915fc22d7d8: Already exists e186b03af121: Already exists 4f4fb700ef54: Already exists 030de23c0760: Already exists 2e242ae980de: Pull complete d66bcd2d3f4b: Pull complete b391be0a2e5c: Pull complete Setting up the model... Processing... Full prompt: hyper detailed masterpiece, dynamic realistic digital art, awesome quality, airbrushed patterns urban institute, restrictive house, babbling village vignetting, ethereal duality, cultish, <lora:epiCRealismHelper:1>, , <lora:add_saturation:-0.52> Full negative prompt: mirrored, cloned, duplicate, ugly, deformed, signature, watermark, realisticvision-negative-embedding 0%| | 0/46 [00:00<?, ?it/s] 2%|▏ | 1/46 [00:01<01:26, 1.93s/it] 4%|▍ | 2/46 [00:03<01:19, 1.80s/it] 7%|▋ | 3/46 [00:05<01:19, 1.85s/it] 9%|▊ | 4/46 [00:07<01:19, 1.90s/it] 11%|█ | 5/46 [00:09<01:14, 1.83s/it] 13%|█▎ | 6/46 [00:11<01:12, 1.81s/it] 15%|█▌ | 7/46 [00:12<01:11, 1.84s/it] 17%|█▋ | 8/46 [00:14<01:10, 1.86s/it] 20%|█▉ | 9/46 [00:16<01:07, 1.83s/it] 22%|██▏ | 10/46 [00:18<01:04, 1.81s/it] 24%|██▍ | 11/46 [00:20<01:02, 1.78s/it] 26%|██▌ | 12/46 [00:21<00:59, 1.76s/it] 28%|██▊ | 13/46 [00:23<00:58, 1.79s/it] 30%|███ | 14/46 [00:25<00:57, 1.80s/it] 33%|███▎ | 15/46 [00:27<00:54, 1.76s/it] 35%|███▍ | 16/46 [00:28<00:51, 1.73s/it] 37%|███▋ | 17/46 [00:30<00:51, 1.78s/it] 39%|███▉ | 18/46 [00:32<00:48, 1.73s/it] 41%|████▏ | 19/46 [00:33<00:46, 1.72s/it] 43%|████▎ | 20/46 [00:35<00:45, 1.74s/it] 46%|████▌ | 21/46 [00:37<00:43, 1.75s/it] 48%|████▊ | 22/46 [00:39<00:41, 1.74s/it] 50%|█████ | 23/46 [00:40<00:39, 1.71s/it] 52%|█████▏ | 24/46 [00:42<00:37, 1.72s/it] 54%|█████▍ | 25/46 [00:44<00:36, 1.76s/it] 57%|█████▋ | 26/46 [00:46<00:34, 1.73s/it] 59%|█████▊ | 27/46 [00:47<00:32, 1.73s/it] 61%|██████ | 28/46 [00:49<00:31, 1.73s/it] 63%|██████▎ | 29/46 [00:51<00:29, 1.72s/it] 65%|██████▌ | 30/46 [00:53<00:27, 1.74s/it] 67%|██████▋ | 31/46 [00:54<00:24, 1.64s/it] 70%|██████▉ | 32/46 [00:55<00:21, 1.57s/it] 72%|███████▏ | 33/46 [00:57<00:20, 1.56s/it] 74%|███████▍ | 34/46 [00:59<00:18, 1.58s/it] 76%|███████▌ | 35/46 [01:00<00:17, 1.57s/it] 78%|███████▊ | 36/46 [01:02<00:16, 1.60s/it] 80%|████████ | 37/46 [01:03<00:14, 1.56s/it] 83%|████████▎ | 38/46 [01:05<00:12, 1.58s/it] 85%|████████▍ | 39/46 [01:06<00:10, 1.55s/it] 87%|████████▋ | 40/46 [01:08<00:09, 1.56s/it] 89%|████████▉ | 41/46 [01:09<00:07, 1.54s/it] 91%|█████████▏| 42/46 [01:11<00:06, 1.54s/it] 93%|█████████▎| 43/46 [01:12<00:04, 1.48s/it] 96%|█████████▌| 44/46 [01:14<00:03, 1.51s/it] 98%|█████████▊| 45/46 [01:15<00:01, 1.30s/it] 100%|██████████| 46/46 [01:15<00:00, 1.11s/it] 100%|██████████| 46/46 [01:15<00:00, 1.65s/it] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.02s 0: 640x640 (no detections), 7.3ms Speed: 3.5ms preprocess, 7.3ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x640 (no detections), 7.5ms Speed: 2.6ms preprocess, 7.5ms 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), 19.7ms Speed: 2.6ms preprocess, 19.7ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. 0: 640x640 (no detections), 7.1ms Speed: 2.7ms preprocess, 7.1ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 1st settings. Uploading outputs... Finished.