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realistic-vision
realistic-vision

realistic-vision

92 stars
Version: v5.1-base-v4.3
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/4d64ea71064047719747dc59e53ed640/00000-3285043473.png
https://files.tungsten.run/uploads/25914f40a08a4bb8a2c9013feba8b16f/00001-3285043474.png
https://files.tungsten.run/uploads/c50d60b3c06b47359c488a60f682fa7c/00002-3285043475.png
https://files.tungsten.run/uploads/17e6ff2113e442048e872b116a400744/00003-3285043476.png
This example was created by wwwbookafficionado
Finished in 9.5 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors Full prompt: high definition, best Quality ,milf, redhead curvy, Big breast, busty, firm breasts, wide hips, Big ass, thick thighs, thicc, white blouse, cleavage, office pants, office, standing Full negative prompt: BadDream, UnrealisticDream, bad-hands-5 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:09, 2.00it/s] 10%|█ | 2/20 [00:00<00:07, 2.34it/s] 15%|█▌ | 3/20 [00:01<00:06, 2.44it/s] 20%|██ | 4/20 [00:01<00:06, 2.52it/s] 25%|██▌ | 5/20 [00:02<00:05, 2.56it/s] 30%|███ | 6/20 [00:02<00:05, 2.56it/s] 35%|███▌ | 7/20 [00:02<00:05, 2.59it/s] 40%|████ | 8/20 [00:03<00:04, 2.59it/s] 45%|████▌ | 9/20 [00:03<00:04, 2.59it/s] 50%|█████ | 10/20 [00:03<00:03, 2.60it/s] 55%|█████▌ | 11/20 [00:04<00:03, 2.59it/s] 60%|██████ | 12/20 [00:04<00:03, 2.60it/s] 65%|██████▌ | 13/20 [00:05<00:02, 2.60it/s] 70%|███████ | 14/20 [00:05<00:02, 2.60it/s] 75%|███████▌ | 15/20 [00:05<00:01, 2.60it/s] 80%|████████ | 16/20 [00:06<00:01, 2.60it/s] 85%|████████▌ | 17/20 [00:06<00:01, 2.61it/s] 90%|█████████ | 18/20 [00:07<00:00, 2.61it/s] 95%|█████████▌| 19/20 [00:07<00:00, 2.62it/s] 100%|██████████| 20/20 [00:07<00:00, 2.61it/s] 100%|██████████| 20/20 [00:07<00:00, 2.57it/s] Decoding latents in cuda:0... done in 0.61s Move latents to cpu... done in 0.01s 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/4d64ea71064047719747dc59e53ed640/00000-3285043473.png
https://files.tungsten.run/uploads/25914f40a08a4bb8a2c9013feba8b16f/00001-3285043474.png
https://files.tungsten.run/uploads/c50d60b3c06b47359c488a60f682fa7c/00002-3285043475.png
https://files.tungsten.run/uploads/17e6ff2113e442048e872b116a400744/00003-3285043476.png
This example was created by wwwbookafficionado
Finished in 9.5 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors Full prompt: high definition, best Quality ,milf, redhead curvy, Big breast, busty, firm breasts, wide hips, Big ass, thick thighs, thicc, white blouse, cleavage, office pants, office, standing Full negative prompt: BadDream, UnrealisticDream, bad-hands-5 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:09, 2.00it/s] 10%|█ | 2/20 [00:00<00:07, 2.34it/s] 15%|█▌ | 3/20 [00:01<00:06, 2.44it/s] 20%|██ | 4/20 [00:01<00:06, 2.52it/s] 25%|██▌ | 5/20 [00:02<00:05, 2.56it/s] 30%|███ | 6/20 [00:02<00:05, 2.56it/s] 35%|███▌ | 7/20 [00:02<00:05, 2.59it/s] 40%|████ | 8/20 [00:03<00:04, 2.59it/s] 45%|████▌ | 9/20 [00:03<00:04, 2.59it/s] 50%|█████ | 10/20 [00:03<00:03, 2.60it/s] 55%|█████▌ | 11/20 [00:04<00:03, 2.59it/s] 60%|██████ | 12/20 [00:04<00:03, 2.60it/s] 65%|██████▌ | 13/20 [00:05<00:02, 2.60it/s] 70%|███████ | 14/20 [00:05<00:02, 2.60it/s] 75%|███████▌ | 15/20 [00:05<00:01, 2.60it/s] 80%|████████ | 16/20 [00:06<00:01, 2.60it/s] 85%|████████▌ | 17/20 [00:06<00:01, 2.61it/s] 90%|█████████ | 18/20 [00:07<00:00, 2.61it/s] 95%|█████████▌| 19/20 [00:07<00:00, 2.62it/s] 100%|██████████| 20/20 [00:07<00:00, 2.61it/s] 100%|██████████| 20/20 [00:07<00:00, 2.57it/s] Decoding latents in cuda:0... done in 0.61s Move latents to cpu... done in 0.01s Uploading outputs... Finished.