CyberRealistic
CyberRealistic
468 stars
7 running now
Version: v3.3-base-v4.1
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/473cd165b1c843298142ace97d5f6c77/00000-4256700759.png
This example was created by jacksonmann
Finished in 19.6 seconds
Setting up the model... Processing... Using seed 4256700759 Full prompt: gorgeous cute Austrian girl, smiling, (crop top), Steel gray hair loose braided hair, comics printed shirt, oversized jogger pants, lean against the wall, backstreet, (graffiti on the wall), hip-hop, smiling, hands in pockets, perfectly symmetrical face, detailed skin, vivid colours, HDR, hard shadows, art photography, soft focus, masterpiece, breathtaking, atmospheric perspective, diffusion, pore correlation, skin imperfections, 80mm Sigma f2, depth of field, intricate natural lighting Full negative prompt: CyberRealistic_Negative-neg 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:13, 2.97it/s] 5%|▌ | 2/40 [00:00<00:08, 4.60it/s] 8%|▊ | 3/40 [00:00<00:06, 5.60it/s] 10%|█ | 4/40 [00:00<00:05, 6.25it/s] 12%|█▎ | 5/40 [00:00<00:05, 6.30it/s] 15%|█▌ | 6/40 [00:01<00:05, 6.58it/s] 18%|█▊ | 7/40 [00:01<00:04, 6.82it/s] 20%|██ | 8/40 [00:01<00:04, 7.00it/s] 22%|██▎ | 9/40 [00:01<00:04, 7.10it/s] 25%|██▌ | 10/40 [00:01<00:04, 7.15it/s] 28%|██▊ | 11/40 [00:01<00:03, 7.25it/s] 30%|███ | 12/40 [00:01<00:04, 6.99it/s] 32%|███▎ | 13/40 [00:01<00:03, 7.15it/s] 35%|███▌ | 14/40 [00:02<00:03, 7.28it/s] 38%|███▊ | 15/40 [00:02<00:03, 7.39it/s] 40%|████ | 16/40 [00:02<00:03, 7.47it/s] 42%|████▎ | 17/40 [00:02<00:03, 7.51it/s] 45%|████▌ | 18/40 [00:02<00:02, 7.55it/s] 48%|████▊ | 19/40 [00:02<00:02, 7.55it/s] 50%|█████ | 20/40 [00:02<00:02, 7.17it/s] 52%|█████▎ | 21/40 [00:03<00:02, 7.29it/s] 55%|█████▌ | 22/40 [00:03<00:02, 7.41it/s] 57%|█████▊ | 23/40 [00:03<00:02, 7.48it/s] 60%|██████ | 24/40 [00:03<00:02, 7.49it/s] 62%|██████▎ | 25/40 [00:03<00:01, 7.53it/s] 65%|██████▌ | 26/40 [00:03<00:01, 7.57it/s] 68%|██████▊ | 27/40 [00:03<00:01, 7.57it/s] 70%|███████ | 28/40 [00:04<00:01, 7.02it/s] 72%|███████▎ | 29/40 [00:04<00:01, 7.15it/s] 75%|███████▌ | 30/40 [00:04<00:01, 7.26it/s] 78%|███████▊ | 31/40 [00:04<00:01, 7.35it/s] 80%|████████ | 32/40 [00:04<00:01, 7.40it/s] 82%|████████▎ | 33/40 [00:04<00:00, 7.43it/s] 85%|████████▌ | 34/40 [00:04<00:00, 7.45it/s] 88%|████████▊ | 35/40 [00:04<00:00, 6.93it/s] 90%|█████████ | 36/40 [00:05<00:00, 6.97it/s] 92%|█████████▎| 37/40 [00:05<00:00, 7.12it/s] 95%|█████████▌| 38/40 [00:05<00:00, 7.24it/s] 98%|█████████▊| 39/40 [00:05<00:00, 7.33it/s] 100%|██████████| 40/40 [00:05<00:00, 7.35it/s] 100%|██████████| 40/40 [00:05<00:00, 7.06it/s] Decoding latents in cuda:0... done in 0.14s Move latents to cpu... done in 0.0s 0: 640x448 1 face, 159.6ms Speed: 2.5ms preprocess, 159.6ms inference, 35.3ms postprocess per image at shape (1, 3, 640, 448) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 5.13it/s] 9%|▊ | 2/23 [00:00<00:04, 5.20it/s] 13%|█▎ | 3/23 [00:00<00:03, 5.25it/s] 17%|█▋ | 4/23 [00:00<00:03, 5.25it/s] 22%|██▏ | 5/23 [00:00<00:03, 5.00it/s] 26%|██▌ | 6/23 [00:01<00:03, 5.11it/s] 30%|███ | 7/23 [00:01<00:03, 5.19it/s] 35%|███▍ | 8/23 [00:01<00:02, 5.19it/s] 39%|███▉ | 9/23 [00:01<00:02, 5.17it/s] 43%|████▎ | 10/23 [00:01<00:02, 5.20it/s] 48%|████▊ | 11/23 [00:02<00:02, 5.24it/s] 52%|█████▏ | 12/23 [00:02<00:02, 5.29it/s] 57%|█████▋ | 13/23 [00:02<00:01, 5.32it/s] 61%|██████ | 14/23 [00:02<00:01, 5.34it/s] 65%|██████▌ | 15/23 [00:02<00:01, 5.35it/s] 70%|██████▉ | 16/23 [00:03<00:01, 5.24it/s] 74%|███████▍ | 17/23 [00:03<00:01, 5.29it/s] 78%|███████▊ | 18/23 [00:03<00:00, 5.32it/s] 83%|████████▎ | 19/23 [00:03<00:00, 5.17it/s] 87%|████████▋ | 20/23 [00:03<00:00, 5.23it/s] 91%|█████████▏| 21/23 [00:04<00:00, 5.16it/s] 96%|█████████▌| 22/23 [00:04<00:00, 5.26it/s] 100%|██████████| 23/23 [00:04<00:00, 5.33it/s] 100%|██████████| 23/23 [00:04<00:00, 5.24it/s] Decoding latents in cuda:0... done in 0.14s 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/473cd165b1c843298142ace97d5f6c77/00000-4256700759.png
This example was created by jacksonmann
Finished in 19.6 seconds
Setting up the model... Processing... Using seed 4256700759 Full prompt: gorgeous cute Austrian girl, smiling, (crop top), Steel gray hair loose braided hair, comics printed shirt, oversized jogger pants, lean against the wall, backstreet, (graffiti on the wall), hip-hop, smiling, hands in pockets, perfectly symmetrical face, detailed skin, vivid colours, HDR, hard shadows, art photography, soft focus, masterpiece, breathtaking, atmospheric perspective, diffusion, pore correlation, skin imperfections, 80mm Sigma f2, depth of field, intricate natural lighting Full negative prompt: CyberRealistic_Negative-neg 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:13, 2.97it/s] 5%|▌ | 2/40 [00:00<00:08, 4.60it/s] 8%|▊ | 3/40 [00:00<00:06, 5.60it/s] 10%|█ | 4/40 [00:00<00:05, 6.25it/s] 12%|█▎ | 5/40 [00:00<00:05, 6.30it/s] 15%|█▌ | 6/40 [00:01<00:05, 6.58it/s] 18%|█▊ | 7/40 [00:01<00:04, 6.82it/s] 20%|██ | 8/40 [00:01<00:04, 7.00it/s] 22%|██▎ | 9/40 [00:01<00:04, 7.10it/s] 25%|██▌ | 10/40 [00:01<00:04, 7.15it/s] 28%|██▊ | 11/40 [00:01<00:03, 7.25it/s] 30%|███ | 12/40 [00:01<00:04, 6.99it/s] 32%|███▎ | 13/40 [00:01<00:03, 7.15it/s] 35%|███▌ | 14/40 [00:02<00:03, 7.28it/s] 38%|███▊ | 15/40 [00:02<00:03, 7.39it/s] 40%|████ | 16/40 [00:02<00:03, 7.47it/s] 42%|████▎ | 17/40 [00:02<00:03, 7.51it/s] 45%|████▌ | 18/40 [00:02<00:02, 7.55it/s] 48%|████▊ | 19/40 [00:02<00:02, 7.55it/s] 50%|█████ | 20/40 [00:02<00:02, 7.17it/s] 52%|█████▎ | 21/40 [00:03<00:02, 7.29it/s] 55%|█████▌ | 22/40 [00:03<00:02, 7.41it/s] 57%|█████▊ | 23/40 [00:03<00:02, 7.48it/s] 60%|██████ | 24/40 [00:03<00:02, 7.49it/s] 62%|██████▎ | 25/40 [00:03<00:01, 7.53it/s] 65%|██████▌ | 26/40 [00:03<00:01, 7.57it/s] 68%|██████▊ | 27/40 [00:03<00:01, 7.57it/s] 70%|███████ | 28/40 [00:04<00:01, 7.02it/s] 72%|███████▎ | 29/40 [00:04<00:01, 7.15it/s] 75%|███████▌ | 30/40 [00:04<00:01, 7.26it/s] 78%|███████▊ | 31/40 [00:04<00:01, 7.35it/s] 80%|████████ | 32/40 [00:04<00:01, 7.40it/s] 82%|████████▎ | 33/40 [00:04<00:00, 7.43it/s] 85%|████████▌ | 34/40 [00:04<00:00, 7.45it/s] 88%|████████▊ | 35/40 [00:04<00:00, 6.93it/s] 90%|█████████ | 36/40 [00:05<00:00, 6.97it/s] 92%|█████████▎| 37/40 [00:05<00:00, 7.12it/s] 95%|█████████▌| 38/40 [00:05<00:00, 7.24it/s] 98%|█████████▊| 39/40 [00:05<00:00, 7.33it/s] 100%|██████████| 40/40 [00:05<00:00, 7.35it/s] 100%|██████████| 40/40 [00:05<00:00, 7.06it/s] Decoding latents in cuda:0... done in 0.14s Move latents to cpu... done in 0.0s 0: 640x448 1 face, 159.6ms Speed: 2.5ms preprocess, 159.6ms inference, 35.3ms postprocess per image at shape (1, 3, 640, 448) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 5.13it/s] 9%|▊ | 2/23 [00:00<00:04, 5.20it/s] 13%|█▎ | 3/23 [00:00<00:03, 5.25it/s] 17%|█▋ | 4/23 [00:00<00:03, 5.25it/s] 22%|██▏ | 5/23 [00:00<00:03, 5.00it/s] 26%|██▌ | 6/23 [00:01<00:03, 5.11it/s] 30%|███ | 7/23 [00:01<00:03, 5.19it/s] 35%|███▍ | 8/23 [00:01<00:02, 5.19it/s] 39%|███▉ | 9/23 [00:01<00:02, 5.17it/s] 43%|████▎ | 10/23 [00:01<00:02, 5.20it/s] 48%|████▊ | 11/23 [00:02<00:02, 5.24it/s] 52%|█████▏ | 12/23 [00:02<00:02, 5.29it/s] 57%|█████▋ | 13/23 [00:02<00:01, 5.32it/s] 61%|██████ | 14/23 [00:02<00:01, 5.34it/s] 65%|██████▌ | 15/23 [00:02<00:01, 5.35it/s] 70%|██████▉ | 16/23 [00:03<00:01, 5.24it/s] 74%|███████▍ | 17/23 [00:03<00:01, 5.29it/s] 78%|███████▊ | 18/23 [00:03<00:00, 5.32it/s] 83%|████████▎ | 19/23 [00:03<00:00, 5.17it/s] 87%|████████▋ | 20/23 [00:03<00:00, 5.23it/s] 91%|█████████▏| 21/23 [00:04<00:00, 5.16it/s] 96%|█████████▌| 22/23 [00:04<00:00, 5.26it/s] 100%|██████████| 23/23 [00:04<00:00, 5.33it/s] 100%|██████████| 23/23 [00:04<00:00, 5.24it/s] Decoding latents in cuda:0... done in 0.14s Move latents to cpu... done in 0.0s Finished.