Galadriel (L.O.T.R.) with Arthemy Real
Input
prompt
Specify things to see in the output
(masterpiece), (best quality), (absurdres), (real life photo), (ultra detailed), (traditional fine arts:1.4), (analog photo grain:1.3), Galadriel, blonde elven in daylight elven palace, (white) long dress, elven diadem, (charismatic:1.2), complex lighting, (atmosphere), coherent, continuity, epic, sharp lines, (medieval setting:1.0), <lora:GaladrielV2:1>, <lora:FaceBeauty_qinglong_V3:1>, <lora:more_details:0.7>
negative_prompt
Specify things to not see in the output
(worst quality:1.4), (low quality:1.4), (normal quality, sketch:1.3), lowres, watermark, (jpeg-artifacts:1.33), asian, fake breasts, baddream
num_outputs
Number of output images
4
width
Output image width
768
height
Output image height
768
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
1
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2166178671
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.
0.55
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.
1
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.
1
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.
1
sampler
Sampler type
DPM++ 2M SDE Heun Exponential
samping_steps
Number of denoising steps
50
cfg_scale
Scale for classifier-free guidance
5.5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
vae-ft-mse-840000-ema-pruned_fp16.safetensors
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.
false
Output
![https://files.tungsten.run/uploads/a776e8b4b197431db825ac9a884cc6e5/00000-2166178671.webp](https://files.tungsten.run/uploads/a776e8b4b197431db825ac9a884cc6e5/00000-2166178671.webp)
![https://files.tungsten.run/uploads/3b1c3f9a0cab479fb2f6950aaa1dfac1/00001-2166178672.webp](https://files.tungsten.run/uploads/3b1c3f9a0cab479fb2f6950aaa1dfac1/00001-2166178672.webp)
![https://files.tungsten.run/uploads/1183780d87af4965b38620af1c17261d/00002-2166178673.webp](https://files.tungsten.run/uploads/1183780d87af4965b38620af1c17261d/00002-2166178673.webp)
![https://files.tungsten.run/uploads/ae2a4ca6eef84a56a5325edcd76742f6/00003-2166178674.webp](https://files.tungsten.run/uploads/ae2a4ca6eef84a56a5325edcd76742f6/00003-2166178674.webp)
Finished in 129.0 seconds
prompt
Specify things to see in the output
(masterpiece), (best quality), (absurdres), (real life photo), (ultra detailed), (traditional fine arts:1.4), (analog photo grain:1.3), Galadriel, blonde elven in daylight elven palace, (white) long dress, elven diadem, (charismatic:1.2), complex lighting, (atmosphere), coherent, continuity, epic, sharp lines, (medieval setting:1.0), <lora:GaladrielV2:1>, <lora:FaceBeauty_qinglong_V3:1>, <lora:more_details:0.7>
negative_prompt
Specify things to not see in the output
(worst quality:1.4), (low quality:1.4), (normal quality, sketch:1.3), lowres, watermark, (jpeg-artifacts:1.33), asian, fake breasts, baddream
num_outputs
Number of output images
4
width
Output image width
768
height
Output image height
768
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
1
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2166178671
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.
0.55
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.
1
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.
1
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.
1
sampler
Sampler type
DPM++ 2M SDE Heun Exponential
samping_steps
Number of denoising steps
50
cfg_scale
Scale for classifier-free guidance
5.5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
vae-ft-mse-840000-ema-pruned_fp16.safetensors
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.
false
![https://files.tungsten.run/uploads/a776e8b4b197431db825ac9a884cc6e5/00000-2166178671.webp](https://files.tungsten.run/uploads/a776e8b4b197431db825ac9a884cc6e5/00000-2166178671.webp)
![https://files.tungsten.run/uploads/3b1c3f9a0cab479fb2f6950aaa1dfac1/00001-2166178672.webp](https://files.tungsten.run/uploads/3b1c3f9a0cab479fb2f6950aaa1dfac1/00001-2166178672.webp)
![https://files.tungsten.run/uploads/1183780d87af4965b38620af1c17261d/00002-2166178673.webp](https://files.tungsten.run/uploads/1183780d87af4965b38620af1c17261d/00002-2166178673.webp)
![https://files.tungsten.run/uploads/ae2a4ca6eef84a56a5325edcd76742f6/00003-2166178674.webp](https://files.tungsten.run/uploads/ae2a4ca6eef84a56a5325edcd76742f6/00003-2166178674.webp)
Finished in 129.0 seconds