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Monet Masterpiece with Elegance
elegance:v5.0
evevalentine2017
evevalentine2017
·
Apr 6
116
Input
prompt
Specify things to see in the output
Monet masterpiece
negative_prompt
Specify things to not see in the output
text, signature, watermark, frame, polaroid, low res, low detail, ugly, worst quality, bad quality, normal resolution, noisy
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
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.3
detail
Enhance/diminish detail while keeping the overall style/character
0.4
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
-1
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
Euler a
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
8
clip_skip
The number of last layers of CLIP network to skip
1
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)
easynegative.safetensors
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/ff24dc61d905489087007dd3f2747636/00000-2335549675.webp
https://files.tungsten.run/uploads/7b007e93a1c04f58b47ecd8ca14f1e55/00001-2335549676.webp
https://files.tungsten.run/uploads/6ed57b0fdf324dfc893ec65f9c432c51/00002-2335549677.webp
https://files.tungsten.run/uploads/1bd00355d2d2421fad496b65369801fb/00003-2335549678.webp
Finished in 30.4 seconds
Setting up the model... Preparing inputs... Processing... Using seed 2335549675 Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors Full prompt: Monet masterpiece, <lora:add_detail:0.4> Full negative prompt: text, signature, watermark, frame, polaroid, low res, low detail, ugly, worst quality, bad quality, normal resolution, noisy 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:34, 1.19s/it] 7%|▋ | 2/30 [00:01<00:24, 1.14it/s] 10%|█ | 3/30 [00:02<00:20, 1.29it/s] 13%|█▎ | 4/30 [00:03<00:18, 1.38it/s] 17%|█▋ | 5/30 [00:03<00:17, 1.43it/s] 20%|██ | 6/30 [00:04<00:16, 1.46it/s] 23%|██▎ | 7/30 [00:05<00:15, 1.48it/s] 27%|██▋ | 8/30 [00:05<00:14, 1.49it/s] 30%|███ | 9/30 [00:06<00:13, 1.51it/s] 33%|███▎ | 10/30 [00:07<00:13, 1.51it/s] 37%|███▋ | 11/30 [00:07<00:12, 1.52it/s] 40%|████ | 12/30 [00:08<00:11, 1.52it/s] 43%|████▎ | 13/30 [00:09<00:11, 1.52it/s] 47%|████▋ | 14/30 [00:09<00:10, 1.52it/s] 50%|█████ | 15/30 [00:10<00:09, 1.52it/s] 53%|█████▎ | 16/30 [00:11<00:09, 1.52it/s] 57%|█████▋ | 17/30 [00:11<00:08, 1.52it/s] 60%|██████ | 18/30 [00:12<00:07, 1.52it/s] 63%|██████▎ | 19/30 [00:12<00:07, 1.52it/s] 67%|██████▋ | 20/30 [00:13<00:06, 1.52it/s] 70%|███████ | 21/30 [00:14<00:05, 1.51it/s] 73%|███████▎ | 22/30 [00:14<00:05, 1.51it/s] 77%|███████▋ | 23/30 [00:15<00:04, 1.50it/s] 80%|████████ | 24/30 [00:16<00:03, 1.51it/s] 83%|████████▎ | 25/30 [00:16<00:03, 1.50it/s] 87%|████████▋ | 26/30 [00:17<00:02, 1.50it/s] 90%|█████████ | 27/30 [00:18<00:02, 1.50it/s] 93%|█████████▎| 28/30 [00:18<00:01, 1.50it/s] 97%|█████████▋| 29/30 [00:19<00:00, 1.50it/s] 100%|██████████| 30/30 [00:20<00:00, 1.52it/s] 100%|██████████| 30/30 [00:20<00:00, 1.48it/s] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.03s
prompt
Specify things to see in the output
Monet masterpiece
negative_prompt
Specify things to not see in the output
text, signature, watermark, frame, polaroid, low res, low detail, ugly, worst quality, bad quality, normal resolution, noisy
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
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.3
detail
Enhance/diminish detail while keeping the overall style/character
0.4
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
-1
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
Euler a
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
8
clip_skip
The number of last layers of CLIP network to skip
1
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)
easynegative.safetensors
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/ff24dc61d905489087007dd3f2747636/00000-2335549675.webp
https://files.tungsten.run/uploads/7b007e93a1c04f58b47ecd8ca14f1e55/00001-2335549676.webp
https://files.tungsten.run/uploads/6ed57b0fdf324dfc893ec65f9c432c51/00002-2335549677.webp
https://files.tungsten.run/uploads/1bd00355d2d2421fad496b65369801fb/00003-2335549678.webp
Finished in 30.4 seconds
Setting up the model... Preparing inputs... Processing... Using seed 2335549675 Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors Full prompt: Monet masterpiece, <lora:add_detail:0.4> Full negative prompt: text, signature, watermark, frame, polaroid, low res, low detail, ugly, worst quality, bad quality, normal resolution, noisy 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:34, 1.19s/it] 7%|▋ | 2/30 [00:01<00:24, 1.14it/s] 10%|█ | 3/30 [00:02<00:20, 1.29it/s] 13%|█▎ | 4/30 [00:03<00:18, 1.38it/s] 17%|█▋ | 5/30 [00:03<00:17, 1.43it/s] 20%|██ | 6/30 [00:04<00:16, 1.46it/s] 23%|██▎ | 7/30 [00:05<00:15, 1.48it/s] 27%|██▋ | 8/30 [00:05<00:14, 1.49it/s] 30%|███ | 9/30 [00:06<00:13, 1.51it/s] 33%|███▎ | 10/30 [00:07<00:13, 1.51it/s] 37%|███▋ | 11/30 [00:07<00:12, 1.52it/s] 40%|████ | 12/30 [00:08<00:11, 1.52it/s] 43%|████▎ | 13/30 [00:09<00:11, 1.52it/s] 47%|████▋ | 14/30 [00:09<00:10, 1.52it/s] 50%|█████ | 15/30 [00:10<00:09, 1.52it/s] 53%|█████▎ | 16/30 [00:11<00:09, 1.52it/s] 57%|█████▋ | 17/30 [00:11<00:08, 1.52it/s] 60%|██████ | 18/30 [00:12<00:07, 1.52it/s] 63%|██████▎ | 19/30 [00:12<00:07, 1.52it/s] 67%|██████▋ | 20/30 [00:13<00:06, 1.52it/s] 70%|███████ | 21/30 [00:14<00:05, 1.51it/s] 73%|███████▎ | 22/30 [00:14<00:05, 1.51it/s] 77%|███████▋ | 23/30 [00:15<00:04, 1.50it/s] 80%|████████ | 24/30 [00:16<00:03, 1.51it/s] 83%|████████▎ | 25/30 [00:16<00:03, 1.50it/s] 87%|████████▋ | 26/30 [00:17<00:02, 1.50it/s] 90%|█████████ | 27/30 [00:18<00:02, 1.50it/s] 93%|█████████▎| 28/30 [00:18<00:01, 1.50it/s] 97%|█████████▋| 29/30 [00:19<00:00, 1.50it/s] 100%|██████████| 30/30 [00:20<00:00, 1.52it/s] 100%|██████████| 30/30 [00:20<00:00, 1.48it/s] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.03s