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Styled by Coco Chanel with PlatypusPhotorealism v3.0
platypusphotorealism:v3.0Lightning
sparks
sparks
·
Mar 26
359
Input
prompt
Specify things to see in the output
high fashion photo, blackmodel brunette woman as a fearless dreamer styled by Coco Chanel in front of a wall covered with ivy
negative_prompt
Specify things to not see in the output
NSFW, partially rendered objects, smooth skin
EnvyBetterHiresFixXL01
Envy Better Hires Fix Xl01
0
num_outputs
Number of output images
3
width
Output image width
960
height
Output image height
1280
enhance_face_with_adetailer
Enhance face with adetailer
false
enhance_hands_with_adetailer
Enhance hands with adetailer
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.55
detail
Enhance/diminish detail while keeping the overall style/character
1
brightness
Adjust brightness
0
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3238852088
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++ SDE Karras
samping_steps
Number of denoising steps
10
cfg_scale
Scale for classifier-free guidance
4
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
None
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/f9ae1e788857405886094e221d71f3de/00000-3238852088.webp
https://files.tungsten.run/uploads/a88b539b1cd14d96adea9328528e6550/00001-3238852089.webp
https://files.tungsten.run/uploads/2e6c25a4191148d5b842fe4dd925f63c/00002-3238852090.webp
Finished in 63.3 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: high fashion photo, blackmodel brunette woman as a fearless dreamer styled by Coco Chanel in front of a wall covered with ivy, <lora:add-detail-xl:1.0> Full negative prompt: NSFW, partially rendered objects, smooth skin 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:06<00:57, 6.35s/it] 20%|██ | 2/10 [00:12<00:50, 6.37s/it] 30%|███ | 3/10 [00:19<00:45, 6.55s/it] 40%|████ | 4/10 [00:26<00:39, 6.59s/it] 50%|█████ | 5/10 [00:32<00:32, 6.47s/it] 60%|██████ | 6/10 [00:38<00:25, 6.43s/it] 70%|███████ | 7/10 [00:45<00:19, 6.38s/it] 80%|████████ | 8/10 [00:49<00:11, 5.93s/it] 90%|█████████ | 9/10 [00:54<00:05, 5.48s/it] 100%|██████████| 10/10 [00:56<00:00, 4.27s/it] 100%|██████████| 10/10 [00:56<00:00, 5.61s/it] Decoding latents in cuda:0... done in 2.82s Move latents to cpu... done in 0.03s
prompt
Specify things to see in the output
high fashion photo, blackmodel brunette woman as a fearless dreamer styled by Coco Chanel in front of a wall covered with ivy
negative_prompt
Specify things to not see in the output
NSFW, partially rendered objects, smooth skin
EnvyBetterHiresFixXL01
Envy Better Hires Fix Xl01
0
num_outputs
Number of output images
3
width
Output image width
960
height
Output image height
1280
enhance_face_with_adetailer
Enhance face with adetailer
false
enhance_hands_with_adetailer
Enhance hands with adetailer
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.55
detail
Enhance/diminish detail while keeping the overall style/character
1
brightness
Adjust brightness
0
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3238852088
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++ SDE Karras
samping_steps
Number of denoising steps
10
cfg_scale
Scale for classifier-free guidance
4
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
None
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/f9ae1e788857405886094e221d71f3de/00000-3238852088.webp
https://files.tungsten.run/uploads/a88b539b1cd14d96adea9328528e6550/00001-3238852089.webp
https://files.tungsten.run/uploads/2e6c25a4191148d5b842fe4dd925f63c/00002-3238852090.webp
Finished in 63.3 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: high fashion photo, blackmodel brunette woman as a fearless dreamer styled by Coco Chanel in front of a wall covered with ivy, <lora:add-detail-xl:1.0> Full negative prompt: NSFW, partially rendered objects, smooth skin 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:06<00:57, 6.35s/it] 20%|██ | 2/10 [00:12<00:50, 6.37s/it] 30%|███ | 3/10 [00:19<00:45, 6.55s/it] 40%|████ | 4/10 [00:26<00:39, 6.59s/it] 50%|█████ | 5/10 [00:32<00:32, 6.47s/it] 60%|██████ | 6/10 [00:38<00:25, 6.43s/it] 70%|███████ | 7/10 [00:45<00:19, 6.38s/it] 80%|████████ | 8/10 [00:49<00:11, 5.93s/it] 90%|█████████ | 9/10 [00:54<00:05, 5.48s/it] 100%|██████████| 10/10 [00:56<00:00, 4.27s/it] 100%|██████████| 10/10 [00:56<00:00, 5.61s/it] Decoding latents in cuda:0... done in 2.82s Move latents to cpu... done in 0.03s