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Almost Kiss with Mklan Real Turbo XL
mklan-real-turbo-xl:v14.0
evevalentine2017
evevalentine2017
·
Feb 24
385
Input
prompt
Specify things to see in the output
ultra realistic, 32k, a woman thinking of a kissing couple, double exposure, glowing hearts, realistic, real photo, realistic skin texture, skin imperfections, skin pores, sharp details, bright light, 8k, HDR, f.1/2, 70mm lens, Kodak, Analog style
negative_prompt
Specify things to not see in the output
CGI, Unreal, Airbrushed, Digital, ((nsfw:2)), ((nipples:2)),
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
1024
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
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0
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.
3076732116
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
samping_steps
Number of denoising steps
5
cfg_scale
Scale for classifier-free guidance
2
clip_skip
The number of last layers of CLIP network to skip
1
vae
Select VAE
sdxl_vae.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/44854320d56846c8884d2c0573a33275/00000-3076732116.webp
https://files.tungsten.run/uploads/0161a263ca4143568bfe78e9ca6f91a0/00001-3076732117.webp
https://files.tungsten.run/uploads/3907c3aeecc443ef89cca2e39d1ddc3a/00002-3076732118.webp
Finished in 59.7 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: ultra realistic, 32k, a woman thinking of a kissing couple, double exposure, glowing hearts, realistic, real photo, realistic skin texture, skin imperfections, skin pores, sharp details, bright light, 8k, HDR, f.1/2, 70mm lens, Kodak, Analog style Full negative prompt: CGI, Unreal, Airbrushed, Digital, ((nsfw:2)), ((nipples:2)), 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:04<00:17, 4.25s/it] 40%|████ | 2/5 [00:09<00:14, 4.90s/it] 60%|██████ | 3/5 [00:14<00:10, 5.03s/it] 80%|████████ | 4/5 [00:18<00:04, 4.57s/it] 100%|██████████| 5/5 [00:19<00:00, 3.39s/it] 100%|██████████| 5/5 [00:19<00:00, 3.99s/it] Decoding latents in cuda:0... done in 2.33s Move latents to cpu... done in 0.03s 0: 640x640 2 faces, 7.7ms Speed: 3.3ms preprocess, 7.7ms inference, 22.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.73s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.41s/it] 100%|██████████| 3/3 [00:03<00:00, 1.06it/s] 100%|██████████| 3/3 [00:03<00:00, 1.10s/it] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.65s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.37s/it] 100%|██████████| 3/3 [00:03<00:00, 1.09it/s] 100%|██████████| 3/3 [00:03<00:00, 1.07s/it] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s 0: 640x640 2 faces, 7.3ms Speed: 3.1ms preprocess, 7.3ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.66s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.41s/it] 100%|██████████| 3/3 [00:03<00:00, 1.07it/s] 100%|██████████| 3/3 [00:03<00:00, 1.09s/it] Decoding latents in cuda:0... done in 0.78s Move latents to cpu... done in 0.0s 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.68s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.39s/it] 100%|██████████| 3/3 [00:03<00:00, 1.08it/s] 100%|██████████| 3/3 [00:03<00:00, 1.08s/it] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s 0: 640x640 2 faces, 7.4ms Speed: 3.0ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.66s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.39s/it] 100%|██████████| 3/3 [00:03<00:00, 1.07it/s] 100%|██████████| 3/3 [00:03<00:00, 1.08s/it] Decoding latents in cuda:0... done in 0.78s Move latents to cpu... done in 0.0s 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.65s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.38s/it] 100%|██████████| 3/3 [00:03<00:00, 1.08it/s] 100%|██████████| 3/3 [00:03<00:00, 1.07s/it] Decoding latents in cuda:0... done in 0.78s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
ultra realistic, 32k, a woman thinking of a kissing couple, double exposure, glowing hearts, realistic, real photo, realistic skin texture, skin imperfections, skin pores, sharp details, bright light, 8k, HDR, f.1/2, 70mm lens, Kodak, Analog style
negative_prompt
Specify things to not see in the output
CGI, Unreal, Airbrushed, Digital, ((nsfw:2)), ((nipples:2)),
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
1024
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
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0
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.
3076732116
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
samping_steps
Number of denoising steps
5
cfg_scale
Scale for classifier-free guidance
2
clip_skip
The number of last layers of CLIP network to skip
1
vae
Select VAE
sdxl_vae.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/44854320d56846c8884d2c0573a33275/00000-3076732116.webp
https://files.tungsten.run/uploads/0161a263ca4143568bfe78e9ca6f91a0/00001-3076732117.webp
https://files.tungsten.run/uploads/3907c3aeecc443ef89cca2e39d1ddc3a/00002-3076732118.webp
Finished in 59.7 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: ultra realistic, 32k, a woman thinking of a kissing couple, double exposure, glowing hearts, realistic, real photo, realistic skin texture, skin imperfections, skin pores, sharp details, bright light, 8k, HDR, f.1/2, 70mm lens, Kodak, Analog style Full negative prompt: CGI, Unreal, Airbrushed, Digital, ((nsfw:2)), ((nipples:2)), 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:04<00:17, 4.25s/it] 40%|████ | 2/5 [00:09<00:14, 4.90s/it] 60%|██████ | 3/5 [00:14<00:10, 5.03s/it] 80%|████████ | 4/5 [00:18<00:04, 4.57s/it] 100%|██████████| 5/5 [00:19<00:00, 3.39s/it] 100%|██████████| 5/5 [00:19<00:00, 3.99s/it] Decoding latents in cuda:0... done in 2.33s Move latents to cpu... done in 0.03s 0: 640x640 2 faces, 7.7ms Speed: 3.3ms preprocess, 7.7ms inference, 22.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.73s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.41s/it] 100%|██████████| 3/3 [00:03<00:00, 1.06it/s] 100%|██████████| 3/3 [00:03<00:00, 1.10s/it] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.65s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.37s/it] 100%|██████████| 3/3 [00:03<00:00, 1.09it/s] 100%|██████████| 3/3 [00:03<00:00, 1.07s/it] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s 0: 640x640 2 faces, 7.3ms Speed: 3.1ms preprocess, 7.3ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.66s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.41s/it] 100%|██████████| 3/3 [00:03<00:00, 1.07it/s] 100%|██████████| 3/3 [00:03<00:00, 1.09s/it] Decoding latents in cuda:0... done in 0.78s Move latents to cpu... done in 0.0s 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.68s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.39s/it] 100%|██████████| 3/3 [00:03<00:00, 1.08it/s] 100%|██████████| 3/3 [00:03<00:00, 1.08s/it] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s 0: 640x640 2 faces, 7.4ms Speed: 3.0ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.66s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.39s/it] 100%|██████████| 3/3 [00:03<00:00, 1.07it/s] 100%|██████████| 3/3 [00:03<00:00, 1.08s/it] Decoding latents in cuda:0... done in 0.78s Move latents to cpu... done in 0.0s 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.65s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.38s/it] 100%|██████████| 3/3 [00:03<00:00, 1.08it/s] 100%|██████████| 3/3 [00:03<00:00, 1.07s/it] Decoding latents in cuda:0... done in 0.78s Move latents to cpu... done in 0.0s Uploading outputs... Finished.