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Pistachio Oufits with Mat Dreams Turbo XL
mat-dreams-turbo-xl:v1.0
evevalentine2017
evevalentine2017
·
Jan 23
373
Input
prompt
Specify things to see in the output
hyper detailed masterpiece, dynamic realistic digital art, awesome quality, emphasized details, a stunningly beautiful naked 19-year-old female black eyes, light auburn low ponytail hair, skepticism wearing cashmere, ombre pistachio green embroidered tanga, tied bandeau top, headwrap, partially unbuttoned shirt, wearing a partially unbuttoned shirt, revealing a hint of skin and adding a touch of seduction, soft lighting, gentle, diffused light that wraps the characters in a warm and dreamy glow, a lively neighborhood block party, with music, food, and a sense of community
negative_prompt
Specify things to not see in the output
nsfw, bad quality, bad anatomy, low quality, worst quality, blury, grainey, old, badly drawn hands
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
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
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
4085820839
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
8
cfg_scale
Scale for classifier-free guidance
2.5
clip_skip
The number of last layers of CLIP network to skip
1
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/cc8ca98687a2408292342877c0c05a14/00000-4085820839.webp
https://files.tungsten.run/uploads/23673ea0bf8d484eac3eae663dd61625/00001-4085820840.webp
https://files.tungsten.run/uploads/1d774adacd074fd78ef4f94c738dc9a3/00002-4085820841.webp
Finished in 34.8 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: hyper detailed masterpiece, dynamic realistic digital art, awesome quality, emphasized details, a stunningly beautiful naked 19-year-old female black eyes, light auburn low ponytail hair, skepticism wearing cashmere, ombre pistachio green embroidered tanga, tied bandeau top, headwrap, partially unbuttoned shirt, wearing a partially unbuttoned shirt, revealing a hint of skin and adding a touch of seduction, soft lighting, gentle, diffused light that wraps the characters in a warm and dreamy glow, a lively neighborhood block party, with music, food, and a sense of community Full negative prompt: nsfw, bad quality, bad anatomy, low quality, worst quality, blury, grainey, old, badly drawn hands 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:01<00:09, 1.32s/it] 25%|██▌ | 2/8 [00:02<00:07, 1.29s/it] 38%|███▊ | 3/8 [00:03<00:06, 1.28s/it] 50%|█████ | 4/8 [00:05<00:05, 1.27s/it] 62%|██████▎ | 5/8 [00:06<00:03, 1.27s/it] 75%|███████▌ | 6/8 [00:07<00:02, 1.27s/it] 88%|████████▊ | 7/8 [00:08<00:01, 1.27s/it] 100%|██████████| 8/8 [00:10<00:00, 1.26s/it] 100%|██████████| 8/8 [00:10<00:00, 1.27s/it] Decoding latents in cuda:0... done in 2.35s Move latents to cpu... done in 0.03s 0: 640x640 1 face, 8.2ms Speed: 3.4ms preprocess, 8.2ms inference, 31.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/4 [00:00<?, ?it/s] 25%|██▌ | 1/4 [00:00<00:02, 1.19it/s] 50%|█████ | 2/4 [00:01<00:01, 1.36it/s] 75%|███████▌ | 3/4 [00:02<00:00, 1.43it/s] 100%|██████████| 4/4 [00:02<00:00, 1.45it/s] 100%|██████████| 4/4 [00:02<00:00, 1.41it/s] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.4ms Speed: 3.5ms preprocess, 7.4ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 7.9ms Speed: 3.1ms preprocess, 7.9ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/4 [00:00<?, ?it/s] 25%|██▌ | 1/4 [00:00<00:01, 1.54it/s] 50%|█████ | 2/4 [00:01<00:01, 1.54it/s] 75%|███████▌ | 3/4 [00:01<00:00, 1.56it/s] 100%|██████████| 4/4 [00:02<00:00, 1.57it/s] 100%|██████████| 4/4 [00:02<00:00, 1.56it/s] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.9ms Speed: 3.1ms preprocess, 7.9ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 1 face, 7.8ms Speed: 3.0ms preprocess, 7.8ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/4 [00:00<?, ?it/s] 25%|██▌ | 1/4 [00:00<00:01, 1.54it/s] 50%|█████ | 2/4 [00:01<00:01, 1.56it/s] 75%|███████▌ | 3/4 [00:01<00:00, 1.56it/s] 100%|██████████| 4/4 [00:02<00:00, 1.56it/s] 100%|██████████| 4/4 [00:02<00:00, 1.56it/s] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.5ms Speed: 3.2ms preprocess, 7.5ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. Uploading outputs... Finished.
prompt
Specify things to see in the output
hyper detailed masterpiece, dynamic realistic digital art, awesome quality, emphasized details, a stunningly beautiful naked 19-year-old female black eyes, light auburn low ponytail hair, skepticism wearing cashmere, ombre pistachio green embroidered tanga, tied bandeau top, headwrap, partially unbuttoned shirt, wearing a partially unbuttoned shirt, revealing a hint of skin and adding a touch of seduction, soft lighting, gentle, diffused light that wraps the characters in a warm and dreamy glow, a lively neighborhood block party, with music, food, and a sense of community
negative_prompt
Specify things to not see in the output
nsfw, bad quality, bad anatomy, low quality, worst quality, blury, grainey, old, badly drawn hands
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
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
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
4085820839
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
8
cfg_scale
Scale for classifier-free guidance
2.5
clip_skip
The number of last layers of CLIP network to skip
1
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/cc8ca98687a2408292342877c0c05a14/00000-4085820839.webp
https://files.tungsten.run/uploads/23673ea0bf8d484eac3eae663dd61625/00001-4085820840.webp
https://files.tungsten.run/uploads/1d774adacd074fd78ef4f94c738dc9a3/00002-4085820841.webp
Finished in 34.8 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: hyper detailed masterpiece, dynamic realistic digital art, awesome quality, emphasized details, a stunningly beautiful naked 19-year-old female black eyes, light auburn low ponytail hair, skepticism wearing cashmere, ombre pistachio green embroidered tanga, tied bandeau top, headwrap, partially unbuttoned shirt, wearing a partially unbuttoned shirt, revealing a hint of skin and adding a touch of seduction, soft lighting, gentle, diffused light that wraps the characters in a warm and dreamy glow, a lively neighborhood block party, with music, food, and a sense of community Full negative prompt: nsfw, bad quality, bad anatomy, low quality, worst quality, blury, grainey, old, badly drawn hands 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:01<00:09, 1.32s/it] 25%|██▌ | 2/8 [00:02<00:07, 1.29s/it] 38%|███▊ | 3/8 [00:03<00:06, 1.28s/it] 50%|█████ | 4/8 [00:05<00:05, 1.27s/it] 62%|██████▎ | 5/8 [00:06<00:03, 1.27s/it] 75%|███████▌ | 6/8 [00:07<00:02, 1.27s/it] 88%|████████▊ | 7/8 [00:08<00:01, 1.27s/it] 100%|██████████| 8/8 [00:10<00:00, 1.26s/it] 100%|██████████| 8/8 [00:10<00:00, 1.27s/it] Decoding latents in cuda:0... done in 2.35s Move latents to cpu... done in 0.03s 0: 640x640 1 face, 8.2ms Speed: 3.4ms preprocess, 8.2ms inference, 31.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/4 [00:00<?, ?it/s] 25%|██▌ | 1/4 [00:00<00:02, 1.19it/s] 50%|█████ | 2/4 [00:01<00:01, 1.36it/s] 75%|███████▌ | 3/4 [00:02<00:00, 1.43it/s] 100%|██████████| 4/4 [00:02<00:00, 1.45it/s] 100%|██████████| 4/4 [00:02<00:00, 1.41it/s] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.4ms Speed: 3.5ms preprocess, 7.4ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 7.9ms Speed: 3.1ms preprocess, 7.9ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/4 [00:00<?, ?it/s] 25%|██▌ | 1/4 [00:00<00:01, 1.54it/s] 50%|█████ | 2/4 [00:01<00:01, 1.54it/s] 75%|███████▌ | 3/4 [00:01<00:00, 1.56it/s] 100%|██████████| 4/4 [00:02<00:00, 1.57it/s] 100%|██████████| 4/4 [00:02<00:00, 1.56it/s] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.9ms Speed: 3.1ms preprocess, 7.9ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 1 face, 7.8ms Speed: 3.0ms preprocess, 7.8ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/4 [00:00<?, ?it/s] 25%|██▌ | 1/4 [00:00<00:01, 1.54it/s] 50%|█████ | 2/4 [00:01<00:01, 1.56it/s] 75%|███████▌ | 3/4 [00:01<00:00, 1.56it/s] 100%|██████████| 4/4 [00:02<00:00, 1.56it/s] 100%|██████████| 4/4 [00:02<00:00, 1.56it/s] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.5ms Speed: 3.2ms preprocess, 7.5ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. Uploading outputs... Finished.