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CyberRealistic
CyberRealistic

CyberRealistic

468 stars
9 running now
Version: v3.3-base-v1.2
Input
prompt *
Input prompt
negative_prompt
Specify things to not see in the output
reference_image
Image that the output should be similar to
reference_pose_image
Image with a reference pose
reference_depth_image
Image with a reference depth
image_dimensions
Pixel dimensions of output image (width x height)
num_outputs
Number of output images
seed
Random seed. Set as -1 to randomize the seed
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
Whether to ignore the last layer of CLIP network or not
lora
LoRA file. You can apply and adjust the magnitude by putting the following to the prompt: <lora:[FILE_NAME]:[MAGNITUDE]>
Sign in to run this model for free!
Output
https://files.tungsten.run/uploads/032fae4026bb44e59661d9762ff92a03/tmpl0q_v5hg.png
This example was created by jacksonmann
Finished in 31.2 seconds
Preparing inputs... Processing... Using seed 105462530 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:30, 1.27it/s] 5%|▌ | 2/40 [00:01<00:30, 1.24it/s] 8%|▊ | 3/40 [00:02<00:30, 1.22it/s] 10%|█ | 4/40 [00:03<00:29, 1.20it/s] 12%|█▎ | 5/40 [00:04<00:29, 1.20it/s] 15%|█▌ | 6/40 [00:04<00:28, 1.21it/s] 18%|█▊ | 7/40 [00:05<00:27, 1.20it/s] 20%|██ | 8/40 [00:06<00:26, 1.19it/s] 22%|██▎ | 9/40 [00:07<00:26, 1.18it/s] 25%|██▌ | 10/40 [00:08<00:24, 1.21it/s] 28%|██▊ | 11/40 [00:09<00:24, 1.20it/s] 30%|███ | 12/40 [00:09<00:23, 1.20it/s] 32%|███▎ | 13/40 [00:10<00:22, 1.20it/s] 35%|███▌ | 14/40 [00:11<00:21, 1.20it/s] 38%|███▊ | 15/40 [00:12<00:20, 1.21it/s] 40%|████ | 16/40 [00:13<00:19, 1.22it/s] 42%|████▎ | 17/40 [00:14<00:18, 1.21it/s] 45%|████▌ | 18/40 [00:14<00:18, 1.21it/s] 48%|████▊ | 19/40 [00:15<00:17, 1.22it/s] 50%|█████ | 20/40 [00:16<00:15, 1.27it/s] 52%|█████▎ | 21/40 [00:17<00:14, 1.33it/s] 55%|█████▌ | 22/40 [00:17<00:13, 1.32it/s] 57%|█████▊ | 23/40 [00:18<00:13, 1.29it/s] 60%|██████ | 24/40 [00:19<00:12, 1.33it/s] 62%|██████▎ | 25/40 [00:20<00:11, 1.31it/s] 65%|██████▌ | 26/40 [00:20<00:10, 1.29it/s] 68%|██████▊ | 27/40 [00:21<00:10, 1.28it/s] 70%|███████ | 28/40 [00:22<00:09, 1.31it/s] 72%|███████▎ | 29/40 [00:23<00:08, 1.36it/s] 75%|███████▌ | 30/40 [00:23<00:07, 1.38it/s] 78%|███████▊ | 31/40 [00:24<00:06, 1.35it/s] 80%|████████ | 32/40 [00:25<00:05, 1.39it/s] 82%|████████▎ | 33/40 [00:26<00:04, 1.41it/s] 85%|████████▌ | 34/40 [00:26<00:04, 1.44it/s] 88%|████████▊ | 35/40 [00:27<00:03, 1.40it/s] 90%|█████████ | 36/40 [00:28<00:02, 1.45it/s] 92%|█████████▎| 37/40 [00:28<00:02, 1.38it/s] 95%|█████████▌| 38/40 [00:29<00:01, 1.43it/s] 98%|█████████▊| 39/40 [00:30<00:00, 1.50it/s] 100%|██████████| 40/40 [00:30<00:00, 1.84it/s] 100%|██████████| 40/40 [00:30<00:00, 1.32it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Finished.
prompt *
Input prompt
negative_prompt
Specify things to not see in the output
reference_image
Image that the output should be similar to
reference_pose_image
Image with a reference pose
reference_depth_image
Image with a reference depth
image_dimensions
Pixel dimensions of output image (width x height)
num_outputs
Number of output images
seed
Random seed. Set as -1 to randomize the seed
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
Whether to ignore the last layer of CLIP network or not
lora
LoRA file. You can apply and adjust the magnitude by putting the following to the prompt: <lora:[FILE_NAME]:[MAGNITUDE]>
Sign in to run this model for free!
https://files.tungsten.run/uploads/032fae4026bb44e59661d9762ff92a03/tmpl0q_v5hg.png
This example was created by jacksonmann
Finished in 31.2 seconds
Preparing inputs... Processing... Using seed 105462530 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:30, 1.27it/s] 5%|▌ | 2/40 [00:01<00:30, 1.24it/s] 8%|▊ | 3/40 [00:02<00:30, 1.22it/s] 10%|█ | 4/40 [00:03<00:29, 1.20it/s] 12%|█▎ | 5/40 [00:04<00:29, 1.20it/s] 15%|█▌ | 6/40 [00:04<00:28, 1.21it/s] 18%|█▊ | 7/40 [00:05<00:27, 1.20it/s] 20%|██ | 8/40 [00:06<00:26, 1.19it/s] 22%|██▎ | 9/40 [00:07<00:26, 1.18it/s] 25%|██▌ | 10/40 [00:08<00:24, 1.21it/s] 28%|██▊ | 11/40 [00:09<00:24, 1.20it/s] 30%|███ | 12/40 [00:09<00:23, 1.20it/s] 32%|███▎ | 13/40 [00:10<00:22, 1.20it/s] 35%|███▌ | 14/40 [00:11<00:21, 1.20it/s] 38%|███▊ | 15/40 [00:12<00:20, 1.21it/s] 40%|████ | 16/40 [00:13<00:19, 1.22it/s] 42%|████▎ | 17/40 [00:14<00:18, 1.21it/s] 45%|████▌ | 18/40 [00:14<00:18, 1.21it/s] 48%|████▊ | 19/40 [00:15<00:17, 1.22it/s] 50%|█████ | 20/40 [00:16<00:15, 1.27it/s] 52%|█████▎ | 21/40 [00:17<00:14, 1.33it/s] 55%|█████▌ | 22/40 [00:17<00:13, 1.32it/s] 57%|█████▊ | 23/40 [00:18<00:13, 1.29it/s] 60%|██████ | 24/40 [00:19<00:12, 1.33it/s] 62%|██████▎ | 25/40 [00:20<00:11, 1.31it/s] 65%|██████▌ | 26/40 [00:20<00:10, 1.29it/s] 68%|██████▊ | 27/40 [00:21<00:10, 1.28it/s] 70%|███████ | 28/40 [00:22<00:09, 1.31it/s] 72%|███████▎ | 29/40 [00:23<00:08, 1.36it/s] 75%|███████▌ | 30/40 [00:23<00:07, 1.38it/s] 78%|███████▊ | 31/40 [00:24<00:06, 1.35it/s] 80%|████████ | 32/40 [00:25<00:05, 1.39it/s] 82%|████████▎ | 33/40 [00:26<00:04, 1.41it/s] 85%|████████▌ | 34/40 [00:26<00:04, 1.44it/s] 88%|████████▊ | 35/40 [00:27<00:03, 1.40it/s] 90%|█████████ | 36/40 [00:28<00:02, 1.45it/s] 92%|█████████▎| 37/40 [00:28<00:02, 1.38it/s] 95%|█████████▌| 38/40 [00:29<00:01, 1.43it/s] 98%|█████████▊| 39/40 [00:30<00:00, 1.50it/s] 100%|██████████| 40/40 [00:30<00:00, 1.84it/s] 100%|██████████| 40/40 [00:30<00:00, 1.32it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Finished.