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Cute Apron with Heart & Soul XL
heart-and-soul-xl:v1.0
evevalentine2017
evevalentine2017
·
Mar 18
343
Input
prompt
Specify things to see in the output
highres,best quality, 1girl, :d, ahoge, apron, back bow, barefoot, black ribbon, blonde hair, blurry, blurry background, blush, bow, braid, brown footwear, closed mouth, cloud, cloudy sky, collared dress, day, depth of field, dress, eyes visible through hair, falling petals, fang, eyelashes, floating hair, frilled dress, frills, from above, flower, frilled apron, frilled shirt collar, green eyes, hair between eyes, hair bow, hair ribbon, holding, holding flower, leaf, light blush, light particles, light rays, long hair, looking at viewer, lying, maid apron, maid day, on back, on stomach, outdoors, puffy sleeves, puffy short sleeves, red bow, ribbon, short sleeves, sidelocks, skin fang, smile, sleeveless, sleeveless dress, solo, strawberry, very long hair, white apron, white bow, white dress, white flower, white ribbon, yellow flower
negative_prompt
Specify things to not see in the output
worst quality, nsfw, child, human nose, human mouth, human face
num_outputs
Number of output images
3
width
Output image width
768
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
0.45
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.
3935405201
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 Karras
samping_steps
Number of denoising steps
60
cfg_scale
Scale for classifier-free guidance
7
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/c9b9fa4cec554dd8b9cc69d2327b4a62/00000-3935405201.webp
https://files.tungsten.run/uploads/3a02bf8ffaf84c0d8507d43288fdc7f5/00001-3935405202.webp
https://files.tungsten.run/uploads/4c243249f8f741f097907afc1ac6f931/00002-3935405203.webp
Finished in 202.1 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: highres,best quality, 1girl, :d, ahoge, apron, back bow, barefoot, black ribbon, blonde hair, blurry, blurry background, blush, bow, braid, brown footwear, closed mouth, cloud, cloudy sky, collared dress, day, depth of field, dress, eyes visible through hair, falling petals, fang, eyelashes, floating hair, frilled dress, frills, from above, flower, frilled apron, frilled shirt collar, green eyes, hair between eyes, hair bow, hair ribbon, holding, holding flower, leaf, light blush, light particles, light rays, long hair, looking at viewer, lying, maid apron, maid day, on back, on stomach, outdoors, puffy sleeves, puffy short sleeves, red bow, ribbon, short sleeves, sidelocks, skin fang, smile, sleeveless, sleeveless dress, solo, strawberry, very long hair, white apron, white bow, white dress, white flower, white ribbon, yellow flower Full negative prompt: worst quality, nsfw, child, human nose, human mouth, human face 0%| | 0/60 [00:00<?, ?it/s] 2%|▏ | 1/60 [00:01<01:26, 1.47s/it] 3%|▎ | 2/60 [00:03<01:46, 1.83s/it] 5%|▌ | 3/60 [00:05<01:44, 1.83s/it] 7%|▋ | 4/60 [00:07<01:46, 1.90s/it] 8%|▊ | 5/60 [00:09<01:46, 1.94s/it] 10%|█ | 6/60 [00:11<01:47, 1.99s/it] 12%|█▏ | 7/60 [00:13<01:46, 2.02s/it] 13%|█▎ | 8/60 [00:15<01:40, 1.93s/it] 15%|█▌ | 9/60 [00:17<01:38, 1.93s/it] 17%|█▋ | 10/60 [00:19<01:38, 1.96s/it] 18%|█▊ | 11/60 [00:21<01:35, 1.96s/it] 20%|██ | 12/60 [00:23<01:44, 2.18s/it] 22%|██▏ | 13/60 [00:26<01:45, 2.24s/it] 23%|██▎ | 14/60 [00:28<01:39, 2.16s/it] 25%|██▌ | 15/60 [00:30<01:34, 2.11s/it] 27%|██▋ | 16/60 [00:32<01:31, 2.09s/it] 28%|██▊ | 17/60 [00:34<01:28, 2.06s/it] 30%|███ | 18/60 [00:36<01:27, 2.08s/it] 32%|███▏ | 19/60 [00:38<01:24, 2.06s/it] 33%|███▎ | 20/60 [00:40<01:23, 2.09s/it] 35%|███▌ | 21/60 [00:42<01:18, 2.02s/it] 37%|███▋ | 22/60 [00:44<01:17, 2.04s/it] 38%|███▊ | 23/60 [00:46<01:13, 1.98s/it] 40%|████ | 24/60 [00:48<01:11, 2.00s/it] 42%|████▏ | 25/60 [00:50<01:09, 1.97s/it] 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1.70s/it] 82%|████████▏ | 49/60 [01:33<00:18, 1.69s/it] 83%|████████▎ | 50/60 [01:35<00:16, 1.68s/it] 85%|████████▌ | 51/60 [01:37<00:15, 1.73s/it] 87%|████████▋ | 52/60 [01:38<00:13, 1.63s/it] 88%|████████▊ | 53/60 [01:40<00:11, 1.67s/it] 90%|█████████ | 54/60 [01:41<00:09, 1.62s/it] 92%|█████████▏| 55/60 [01:43<00:08, 1.65s/it] 93%|█████████▎| 56/60 [01:45<00:06, 1.64s/it] 95%|█████████▌| 57/60 [01:47<00:05, 1.72s/it] 97%|█████████▋| 58/60 [01:48<00:03, 1.64s/it] 98%|█████████▊| 59/60 [01:49<00:01, 1.46s/it] 100%|██████████| 60/60 [01:50<00:00, 1.27s/it] 100%|██████████| 60/60 [01:50<00:00, 1.84s/it] Decoding latents in cuda:0... done in 1.73s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 175.4ms Speed: 3.6ms preprocess, 175.4ms inference, 25.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:31, 1.18s/it] 7%|▋ | 2/28 [00:02<00:26, 1.03s/it] 11%|█ | 3/28 [00:03<00:24, 1.01it/s] 14%|█▍ | 4/28 [00:04<00:24, 1.03s/it] 18%|█▊ | 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[00:25<00:00, 1.30it/s] 100%|██████████| 28/28 [00:25<00:00, 1.10it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 9.2ms Speed: 2.7ms preprocess, 9.2ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:28, 1.05s/it] 7%|▋ | 2/28 [00:02<00:25, 1.00it/s] 11%|█ | 3/28 [00:02<00:24, 1.03it/s] 14%|█▍ | 4/28 [00:03<00:23, 1.02it/s] 18%|█▊ | 5/28 [00:04<00:21, 1.05it/s] 21%|██▏ | 6/28 [00:05<00:20, 1.07it/s] 25%|██▌ | 7/28 [00:06<00:20, 1.04it/s] 29%|██▊ | 8/28 [00:07<00:19, 1.05it/s] 32%|███▏ | 9/28 [00:08<00:18, 1.05it/s] 36%|███▌ | 10/28 [00:09<00:17, 1.05it/s] 39%|███▉ | 11/28 [00:10<00:16, 1.05it/s] 43%|████▎ | 12/28 [00:11<00:14, 1.08it/s] 46%|████▋ | 13/28 [00:12<00:13, 1.11it/s] 50%|█████ | 14/28 [00:13<00:12, 1.10it/s] 54%|█████▎ | 15/28 [00:14<00:11, 1.10it/s] 57%|█████▋ | 16/28 [00:15<00:10, 1.10it/s] 61%|██████ | 17/28 [00:15<00:10, 1.09it/s] 64%|██████▍ | 18/28 [00:16<00:09, 1.10it/s] 68%|██████▊ | 19/28 [00:17<00:08, 1.05it/s] 71%|███████▏ | 20/28 [00:18<00:07, 1.10it/s] 75%|███████▌ | 21/28 [00:19<00:06, 1.09it/s] 79%|███████▊ | 22/28 [00:20<00:05, 1.11it/s] 82%|████████▏ | 23/28 [00:21<00:04, 1.09it/s] 86%|████████▌ | 24/28 [00:22<00:03, 1.08it/s] 89%|████████▉ | 25/28 [00:23<00:02, 1.06it/s] 93%|█████████▎| 26/28 [00:24<00:01, 1.07it/s] 96%|█████████▋| 27/28 [00:24<00:00, 1.17it/s] 100%|██████████| 28/28 [00:25<00:00, 1.26it/s] 100%|██████████| 28/28 [00:25<00:00, 1.09it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.3ms Speed: 2.8ms preprocess, 8.3ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:27, 1.01s/it] 7%|▋ | 2/28 [00:01<00:24, 1.04it/s] 11%|█ | 3/28 [00:02<00:23, 1.05it/s] 14%|█▍ | 4/28 [00:03<00:23, 1.02it/s] 18%|█▊ | 5/28 [00:04<00:22, 1.01it/s] 21%|██▏ | 6/28 [00:05<00:20, 1.05it/s] 25%|██▌ | 7/28 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latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
highres,best quality, 1girl, :d, ahoge, apron, back bow, barefoot, black ribbon, blonde hair, blurry, blurry background, blush, bow, braid, brown footwear, closed mouth, cloud, cloudy sky, collared dress, day, depth of field, dress, eyes visible through hair, falling petals, fang, eyelashes, floating hair, frilled dress, frills, from above, flower, frilled apron, frilled shirt collar, green eyes, hair between eyes, hair bow, hair ribbon, holding, holding flower, leaf, light blush, light particles, light rays, long hair, looking at viewer, lying, maid apron, maid day, on back, on stomach, outdoors, puffy sleeves, puffy short sleeves, red bow, ribbon, short sleeves, sidelocks, skin fang, smile, sleeveless, sleeveless dress, solo, strawberry, very long hair, white apron, white bow, white dress, white flower, white ribbon, yellow flower
negative_prompt
Specify things to not see in the output
worst quality, nsfw, child, human nose, human mouth, human face
num_outputs
Number of output images
3
width
Output image width
768
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
0.45
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.
3935405201
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 Karras
samping_steps
Number of denoising steps
60
cfg_scale
Scale for classifier-free guidance
7
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/c9b9fa4cec554dd8b9cc69d2327b4a62/00000-3935405201.webp
https://files.tungsten.run/uploads/3a02bf8ffaf84c0d8507d43288fdc7f5/00001-3935405202.webp
https://files.tungsten.run/uploads/4c243249f8f741f097907afc1ac6f931/00002-3935405203.webp
Finished in 202.1 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: highres,best quality, 1girl, :d, ahoge, apron, back bow, barefoot, black ribbon, blonde hair, blurry, blurry background, blush, bow, braid, brown footwear, closed mouth, cloud, cloudy sky, collared dress, day, depth of field, dress, eyes visible through hair, falling petals, fang, eyelashes, floating hair, frilled dress, frills, from above, flower, frilled apron, frilled shirt collar, green eyes, hair between eyes, hair bow, hair ribbon, holding, holding flower, leaf, light blush, light particles, light rays, long hair, looking at viewer, lying, maid apron, maid day, on back, on stomach, outdoors, puffy sleeves, puffy short sleeves, red bow, ribbon, short sleeves, sidelocks, skin fang, smile, sleeveless, sleeveless dress, solo, strawberry, very long hair, white apron, white bow, white dress, white flower, white ribbon, yellow flower Full negative prompt: worst quality, nsfw, child, human nose, human mouth, human face 0%| 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1.70s/it] 82%|████████▏ | 49/60 [01:33<00:18, 1.69s/it] 83%|████████▎ | 50/60 [01:35<00:16, 1.68s/it] 85%|████████▌ | 51/60 [01:37<00:15, 1.73s/it] 87%|████████▋ | 52/60 [01:38<00:13, 1.63s/it] 88%|████████▊ | 53/60 [01:40<00:11, 1.67s/it] 90%|█████████ | 54/60 [01:41<00:09, 1.62s/it] 92%|█████████▏| 55/60 [01:43<00:08, 1.65s/it] 93%|█████████▎| 56/60 [01:45<00:06, 1.64s/it] 95%|█████████▌| 57/60 [01:47<00:05, 1.72s/it] 97%|█████████▋| 58/60 [01:48<00:03, 1.64s/it] 98%|█████████▊| 59/60 [01:49<00:01, 1.46s/it] 100%|██████████| 60/60 [01:50<00:00, 1.27s/it] 100%|██████████| 60/60 [01:50<00:00, 1.84s/it] Decoding latents in cuda:0... done in 1.73s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 175.4ms Speed: 3.6ms preprocess, 175.4ms inference, 25.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:31, 1.18s/it] 7%|▋ | 2/28 [00:02<00:26, 1.03s/it] 11%|█ | 3/28 [00:03<00:24, 1.01it/s] 14%|█▍ | 4/28 [00:04<00:24, 1.03s/it] 18%|█▊ | 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[00:25<00:00, 1.30it/s] 100%|██████████| 28/28 [00:25<00:00, 1.10it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 9.2ms Speed: 2.7ms preprocess, 9.2ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:28, 1.05s/it] 7%|▋ | 2/28 [00:02<00:25, 1.00it/s] 11%|█ | 3/28 [00:02<00:24, 1.03it/s] 14%|█▍ | 4/28 [00:03<00:23, 1.02it/s] 18%|█▊ | 5/28 [00:04<00:21, 1.05it/s] 21%|██▏ | 6/28 [00:05<00:20, 1.07it/s] 25%|██▌ | 7/28 [00:06<00:20, 1.04it/s] 29%|██▊ | 8/28 [00:07<00:19, 1.05it/s] 32%|███▏ | 9/28 [00:08<00:18, 1.05it/s] 36%|███▌ | 10/28 [00:09<00:17, 1.05it/s] 39%|███▉ | 11/28 [00:10<00:16, 1.05it/s] 43%|████▎ | 12/28 [00:11<00:14, 1.08it/s] 46%|████▋ | 13/28 [00:12<00:13, 1.11it/s] 50%|█████ | 14/28 [00:13<00:12, 1.10it/s] 54%|█████▎ | 15/28 [00:14<00:11, 1.10it/s] 57%|█████▋ | 16/28 [00:15<00:10, 1.10it/s] 61%|██████ | 17/28 [00:15<00:10, 1.09it/s] 64%|██████▍ | 18/28 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latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s Uploading outputs... Finished.