Version: v22.0Realistic
Input
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
EnvyBetterHiresFixXL01
Envy Better Hires Fix Xl01
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
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/d09cdfc2095b4838ab5f59e9c62d5fc2/00000-603588118.webp
https://files.tungsten.run/uploads/4e9616ee084c460ab2c2f65eacd66e31/00001-603588119.webp
https://files.tungsten.run/uploads/3b74c77bab6b4268aa12862e666ac18c/00002-603588120.webp
This example was created by sparks
Finished in 31.6 seconds
Preparing inputs... Processing... Full prompt: Magical Mathematics two parts in one art, double exposure, cute little detailed shocked perfect dragon trying to understand what all these weird scary words mean : Hyperbola, Parabola, Pi, Euler's Number, Complex Numbers, Tessellations, Orthogonal Projection, Riemann Surface, Golden Ratio, best quality, dark tales, Craola, Dan Mumford, Andy Kehoe, Miyazaki 2d, flat, cute, adorable, vintage, art on a cracked paper, fairytale, patchwork, stained glass, storybook detailed illustration, cinematic, ultra highly detailed, tiny details, beautiful details, mystical, luminism, vibrant colors, complex background, <lora:EnvyBetterHiresFixXL01:0.5>, <lora:add-detail-xl:1.0> Full negative prompt: (watermark:1.5), (text:1.5) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:02<00:26, 2.91s/it] 20%|██ | 2/10 [00:05<00:23, 2.92s/it] 30%|███ | 3/10 [00:08<00:20, 2.93s/it] 40%|████ | 4/10 [00:11<00:17, 2.94s/it] 50%|█████ | 5/10 [00:14<00:14, 2.95s/it] 60%|██████ | 6/10 [00:17<00:11, 2.95s/it] 70%|███████ | 7/10 [00:20<00:08, 2.96s/it] 80%|████████ | 8/10 [00:23<00:05, 2.97s/it] 90%|█████████ | 9/10 [00:26<00:02, 2.97s/it] 100%|██████████| 10/10 [00:28<00:00, 2.51s/it] 100%|██████████| 10/10 [00:28<00:00, 2.81s/it] Decoding latents in cuda:0... done in 2.75s Move latents to cpu... done in 0.02s Uploading outputs...
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
EnvyBetterHiresFixXL01
Envy Better Hires Fix Xl01
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
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/d09cdfc2095b4838ab5f59e9c62d5fc2/00000-603588118.webp
https://files.tungsten.run/uploads/4e9616ee084c460ab2c2f65eacd66e31/00001-603588119.webp
https://files.tungsten.run/uploads/3b74c77bab6b4268aa12862e666ac18c/00002-603588120.webp
This example was created by sparks
Finished in 31.6 seconds
Preparing inputs... Processing... Full prompt: Magical Mathematics two parts in one art, double exposure, cute little detailed shocked perfect dragon trying to understand what all these weird scary words mean : Hyperbola, Parabola, Pi, Euler's Number, Complex Numbers, Tessellations, Orthogonal Projection, Riemann Surface, Golden Ratio, best quality, dark tales, Craola, Dan Mumford, Andy Kehoe, Miyazaki 2d, flat, cute, adorable, vintage, art on a cracked paper, fairytale, patchwork, stained glass, storybook detailed illustration, cinematic, ultra highly detailed, tiny details, beautiful details, mystical, luminism, vibrant colors, complex background, <lora:EnvyBetterHiresFixXL01:0.5>, <lora:add-detail-xl:1.0> Full negative prompt: (watermark:1.5), (text:1.5) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:02<00:26, 2.91s/it] 20%|██ | 2/10 [00:05<00:23, 2.92s/it] 30%|███ | 3/10 [00:08<00:20, 2.93s/it] 40%|████ | 4/10 [00:11<00:17, 2.94s/it] 50%|█████ | 5/10 [00:14<00:14, 2.95s/it] 60%|██████ | 6/10 [00:17<00:11, 2.95s/it] 70%|███████ | 7/10 [00:20<00:08, 2.96s/it] 80%|████████ | 8/10 [00:23<00:05, 2.97s/it] 90%|█████████ | 9/10 [00:26<00:02, 2.97s/it] 100%|██████████| 10/10 [00:28<00:00, 2.51s/it] 100%|██████████| 10/10 [00:28<00:00, 2.81s/it] Decoding latents in cuda:0... done in 2.75s Move latents to cpu... done in 0.02s Uploading outputs...