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Girl eating Rice with Heart & Soul XL
heart-and-soul-xl:v1.0
evevalentine2017
evevalentine2017
·
Mar 18
323
Input
prompt
Specify things to see in the output
highres, best quality, best quality, ultra-detailed, cheerful cute girl sitting with forehead blonde long hair, open mouth, holding chopsticks, chopped spring onion, nattou rice bowl, wooden table,
negative_prompt
Specify things to not see in the output
worst quality, loli, kid, child, nsfw, simple background
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
0.45
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/41d81e2120d84a2699be77664c24ca68/00000-3935405201.webp
https://files.tungsten.run/uploads/db8a8aabe7dc414f9deedadabdb4057b/00001-3935405202.webp
https://files.tungsten.run/uploads/d8992eaec89148bc99fef8a3cae1f6ea/00002-3935405203.webp
Finished in 233.2 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: highres, best quality, best quality, ultra-detailed, cheerful cute girl sitting with forehead blonde long hair, open mouth, holding chopsticks, chopped spring onion, nattou rice bowl, wooden table, Full negative prompt: worst quality, loli, kid, child, nsfw, simple background 0%| | 0/60 [00:00<?, ?it/s] 2%|▏ | 1/60 [00:02<02:04, 2.11s/it] 3%|▎ | 2/60 [00:05<02:30, 2.59s/it] 5%|▌ | 3/60 [00:07<02:27, 2.58s/it] 7%|▋ | 4/60 [00:10<02:30, 2.69s/it] 8%|▊ | 5/60 [00:13<02:32, 2.78s/it] 10%|█ | 6/60 [00:16<02:32, 2.83s/it] 12%|█▏ | 7/60 [00:19<02:30, 2.84s/it] 13%|█▎ | 8/60 [00:21<02:22, 2.73s/it] 15%|█▌ | 9/60 [00:24<02:18, 2.72s/it] 17%|█▋ | 10/60 [00:27<02:19, 2.79s/it] 18%|█▊ | 11/60 [00:30<02:15, 2.76s/it] 20%|██ | 12/60 [00:32<02:13, 2.78s/it] 22%|██▏ | 13/60 [00:35<02:11, 2.81s/it] 23%|██▎ | 14/60 [00:38<02:07, 2.78s/it] 25%|██▌ | 15/60 [00:41<02:03, 2.75s/it] 27%|██▋ | 16/60 [00:43<02:02, 2.78s/it] 28%|██▊ | 17/60 [00:46<01:59, 2.78s/it] 30%|███ | 18/60 [00:49<01:59, 2.84s/it] 32%|███▏ | 19/60 [00:52<01:54, 2.79s/it] 33%|███▎ | 20/60 [00:55<01:52, 2.80s/it] 35%|███▌ | 21/60 [00:57<01:46, 2.74s/it] 37%|███▋ | 22/60 [01:00<01:45, 2.78s/it] 38%|███▊ | 23/60 [01:03<01:40, 2.71s/it] 40%|████ | 24/60 [01:06<01:38, 2.73s/it] 42%|████▏ | 25/60 [01:08<01:34, 2.70s/it] 43%|████▎ | 26/60 [01:11<01:33, 2.74s/it] 45%|████▌ | 27/60 [01:14<01:29, 2.72s/it] 47%|████▋ | 28/60 [01:16<01:23, 2.62s/it] 48%|████▊ | 29/60 [01:18<01:19, 2.55s/it] 50%|█████ | 30/60 [01:21<01:17, 2.58s/it] 52%|█████▏ | 31/60 [01:24<01:15, 2.61s/it] 53%|█████▎ | 32/60 [01:26<01:11, 2.56s/it] 55%|█████▌ | 33/60 [01:29<01:11, 2.66s/it] 57%|█████▋ | 34/60 [01:32<01:07, 2.60s/it] 58%|█████▊ | 35/60 [01:34<01:04, 2.58s/it] 60%|██████ | 36/60 [01:37<01:03, 2.66s/it] 62%|██████▏ | 37/60 [01:40<01:00, 2.64s/it] 63%|██████▎ | 38/60 [01:42<00:56, 2.57s/it] 65%|██████▌ | 39/60 [01:45<00:55, 2.65s/it] 67%|██████▋ | 40/60 [01:47<00:53, 2.66s/it] 68%|██████▊ | 41/60 [01:50<00:49, 2.61s/it] 70%|███████ | 42/60 [01:52<00:45, 2.54s/it] 72%|███████▏ | 43/60 [01:55<00:42, 2.52s/it] 73%|███████▎ | 44/60 [01:57<00:38, 2.41s/it] 75%|███████▌ | 45/60 [01:59<00:34, 2.32s/it] 77%|███████▋ | 46/60 [02:02<00:33, 2.38s/it] 78%|███████▊ | 47/60 [02:04<00:30, 2.36s/it] 80%|████████ | 48/60 [02:06<00:28, 2.36s/it] 82%|████████▏ | 49/60 [02:09<00:25, 2.36s/it] 83%|████████▎ | 50/60 [02:11<00:23, 2.35s/it] 85%|████████▌ | 51/60 [02:14<00:21, 2.42s/it] 87%|████████▋ | 52/60 [02:16<00:18, 2.31s/it] 88%|████████▊ | 53/60 [02:18<00:16, 2.36s/it] 90%|█████████ | 54/60 [02:20<00:13, 2.32s/it] 92%|█████████▏| 55/60 [02:23<00:11, 2.36s/it] 93%|█████████▎| 56/60 [02:25<00:09, 2.36s/it] 95%|█████████▌| 57/60 [02:28<00:07, 2.45s/it] 97%|█████████▋| 58/60 [02:30<00:04, 2.35s/it] 98%|█████████▊| 59/60 [02:31<00:02, 2.10s/it] 100%|██████████| 60/60 [02:33<00:00, 1.85s/it] 100%|██████████| 60/60 [02:33<00:00, 2.55s/it] Decoding latents in cuda:0... done in 2.37s Move latents to cpu... done in 0.03s 0: 640x640 1 face, 8.0ms Speed: 3.4ms preprocess, 8.0ms inference, 23.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:28, 1.04s/it] 7%|▋ | 2/28 [00:01<00:23, 1.11it/s] 11%|█ | 3/28 [00:02<00:21, 1.17it/s] 14%|█▍ | 4/28 [00:03<00:21, 1.13it/s] 18%|█▊ | 5/28 [00:04<00:19, 1.16it/s] 21%|██▏ | 6/28 [00:05<00:18, 1.20it/s] 25%|██▌ | 7/28 [00:06<00:18, 1.16it/s] 29%|██▊ | 8/28 [00:06<00:17, 1.16it/s] 32%|███▏ | 9/28 [00:07<00:16, 1.18it/s] 36%|███▌ | 10/28 [00:08<00:14, 1.20it/s] 39%|███▉ | 11/28 [00:09<00:14, 1.20it/s] 43%|████▎ | 12/28 [00:10<00:12, 1.27it/s] 46%|████▋ | 13/28 [00:10<00:11, 1.31it/s] 50%|█████ | 14/28 [00:11<00:10, 1.28it/s] 54%|█████▎ | 15/28 [00:12<00:09, 1.30it/s] 57%|█████▋ | 16/28 [00:13<00:09, 1.30it/s] 61%|██████ | 17/28 [00:13<00:08, 1.31it/s] 64%|██████▍ | 18/28 [00:14<00:07, 1.32it/s] 68%|██████▊ | 19/28 [00:15<00:07, 1.28it/s] 71%|███████▏ | 20/28 [00:16<00:05, 1.36it/s] 75%|███████▌ | 21/28 [00:16<00:05, 1.33it/s] 79%|███████▊ | 22/28 [00:17<00:04, 1.37it/s] 82%|████████▏ | 23/28 [00:18<00:03, 1.35it/s] 86%|████████▌ | 24/28 [00:19<00:02, 1.36it/s] 89%|████████▉ | 25/28 [00:19<00:02, 1.31it/s] 93%|█████████▎| 26/28 [00:20<00:01, 1.36it/s] 96%|█████████▋| 27/28 [00:21<00:00, 1.52it/s] 100%|██████████| 28/28 [00:21<00:00, 1.74it/s] 100%|██████████| 28/28 [00:21<00:00, 1.31it/s] Decoding latents in cuda:0... done in 0.78s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.7ms Speed: 3.2ms preprocess, 7.7ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:24, 1.09it/s] 7%|▋ | 2/28 [00:01<00:22, 1.18it/s] 11%|█ | 3/28 [00:02<00:20, 1.21it/s] 14%|█▍ | 4/28 [00:03<00:20, 1.17it/s] 18%|█▊ | 5/28 [00:04<00:19, 1.19it/s] 21%|██▏ | 6/28 [00:04<00:17, 1.23it/s] 25%|██▌ | 7/28 [00:05<00:17, 1.19it/s] 29%|██▊ | 8/28 [00:06<00:16, 1.20it/s] 32%|███▏ | 9/28 [00:07<00:15, 1.21it/s] 36%|███▌ | 10/28 [00:08<00:14, 1.25it/s] 39%|███▉ | 11/28 [00:09<00:13, 1.25it/s] 43%|████▎ | 12/28 [00:09<00:12, 1.30it/s] 46%|████▋ | 13/28 [00:10<00:11, 1.35it/s] 50%|█████ | 14/28 [00:11<00:10, 1.30it/s] 54%|█████▎ | 15/28 [00:11<00:09, 1.32it/s] 57%|█████▋ | 16/28 [00:12<00:09, 1.32it/s] 61%|██████ | 17/28 [00:13<00:08, 1.32it/s] 64%|██████▍ | 18/28 [00:14<00:07, 1.33it/s] 68%|██████▊ | 19/28 [00:15<00:06, 1.29it/s] 71%|███████▏ | 20/28 [00:15<00:05, 1.36it/s] 75%|███████▌ | 21/28 [00:16<00:05, 1.34it/s] 79%|███████▊ | 22/28 [00:17<00:04, 1.38it/s] 82%|████████▏ | 23/28 [00:17<00:03, 1.35it/s] 86%|████████▌ | 24/28 [00:18<00:02, 1.36it/s] 89%|████████▉ | 25/28 [00:19<00:02, 1.31it/s] 93%|█████████▎| 26/28 [00:20<00:01, 1.36it/s] 96%|█████████▋| 27/28 [00:20<00:00, 1.51it/s] 100%|██████████| 28/28 [00:21<00:00, 1.72it/s] 100%|██████████| 28/28 [00:21<00:00, 1.33it/s] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 3.3ms preprocess, 7.5ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:24, 1.11it/s] 7%|▋ | 2/28 [00:01<00:21, 1.20it/s] 11%|█ | 3/28 [00:02<00:20, 1.21it/s] 14%|█▍ | 4/28 [00:03<00:20, 1.16it/s] 18%|█▊ | 5/28 [00:04<00:19, 1.19it/s] 21%|██▏ | 6/28 [00:04<00:17, 1.23it/s] 25%|██▌ | 7/28 [00:05<00:17, 1.18it/s] 29%|██▊ | 8/28 [00:06<00:16, 1.18it/s] 32%|███▏ | 9/28 [00:07<00:16, 1.19it/s] 36%|███▌ | 10/28 [00:08<00:14, 1.21it/s] 39%|███▉ | 11/28 [00:09<00:13, 1.23it/s] 43%|████▎ | 12/28 [00:09<00:12, 1.29it/s] 46%|████▋ | 13/28 [00:10<00:11, 1.33it/s] 50%|█████ | 14/28 [00:11<00:10, 1.29it/s] 54%|█████▎ | 15/28 [00:12<00:09, 1.30it/s] 57%|█████▋ | 16/28 [00:12<00:09, 1.29it/s] 61%|██████ | 17/28 [00:13<00:08, 1.29it/s] 64%|██████▍ | 18/28 [00:14<00:07, 1.31it/s] 68%|██████▊ | 19/28 [00:15<00:07, 1.28it/s] 71%|███████▏ | 20/28 [00:15<00:05, 1.35it/s] 75%|███████▌ | 21/28 [00:16<00:05, 1.32it/s] 79%|███████▊ | 22/28 [00:17<00:04, 1.37it/s] 82%|████████▏ | 23/28 [00:18<00:03, 1.34it/s] 86%|████████▌ | 24/28 [00:18<00:02, 1.35it/s] 89%|████████▉ | 25/28 [00:19<00:02, 1.30it/s] 93%|█████████▎| 26/28 [00:20<00:01, 1.37it/s] 96%|█████████▋| 27/28 [00:20<00:00, 1.53it/s] 100%|██████████| 28/28 [00:21<00:00, 1.74it/s] 100%|██████████| 28/28 [00:21<00:00, 1.32it/s] 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
highres, best quality, best quality, ultra-detailed, cheerful cute girl sitting with forehead blonde long hair, open mouth, holding chopsticks, chopped spring onion, nattou rice bowl, wooden table,
negative_prompt
Specify things to not see in the output
worst quality, loli, kid, child, nsfw, simple background
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
0.45
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/41d81e2120d84a2699be77664c24ca68/00000-3935405201.webp
https://files.tungsten.run/uploads/db8a8aabe7dc414f9deedadabdb4057b/00001-3935405202.webp
https://files.tungsten.run/uploads/d8992eaec89148bc99fef8a3cae1f6ea/00002-3935405203.webp
Finished in 233.2 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: highres, best quality, best quality, ultra-detailed, cheerful cute girl sitting with forehead blonde long hair, open mouth, holding chopsticks, chopped spring onion, nattou rice bowl, wooden table, Full negative prompt: worst quality, loli, kid, child, nsfw, simple background 0%| | 0/60 [00:00<?, ?it/s] 2%|▏ | 1/60 [00:02<02:04, 2.11s/it] 3%|▎ | 2/60 [00:05<02:30, 2.59s/it] 5%|▌ | 3/60 [00:07<02:27, 2.58s/it] 7%|▋ | 4/60 [00:10<02:30, 2.69s/it] 8%|▊ | 5/60 [00:13<02:32, 2.78s/it] 10%|█ | 6/60 [00:16<02:32, 2.83s/it] 12%|█▏ | 7/60 [00:19<02:30, 2.84s/it] 13%|█▎ | 8/60 [00:21<02:22, 2.73s/it] 15%|█▌ | 9/60 [00:24<02:18, 2.72s/it] 17%|█▋ | 10/60 [00:27<02:19, 2.79s/it] 18%|█▊ | 11/60 [00:30<02:15, 2.76s/it] 20%|██ | 12/60 [00:32<02:13, 2.78s/it] 22%|██▏ | 13/60 [00:35<02:11, 2.81s/it] 23%|██▎ | 14/60 [00:38<02:07, 2.78s/it] 25%|██▌ | 15/60 [00:41<02:03, 2.75s/it] 27%|██▋ | 16/60 [00:43<02:02, 2.78s/it] 28%|██▊ | 17/60 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Finished.