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Happy City Elf
MMXL-PDXL:v1.0
zennerhenric
zennerhenric
·
Aug 3
17
Input
prompt
Specify things to see in the output
score_9, score_8_up, score_7_up, score_6_up, source_anime, 1girl, solo, <lora:malon-pdxl-nvwls-v1-000005:1> cremia, red hair, long hair, pointy ears, big breasts, yellow t-shirt, jeans, looking at you, hand on hip, wink, peace sign, blue sky, city
negative_prompt
Specify things to not see in the output
3d, monochrome
Detailer
Detailer
0
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
0.35
detail
Enhance/diminish detail while keeping the overall style/character
2
brightness
Adjust brightness
1
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
-1
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
24
cfg_scale
Scale for classifier-free guidance
11
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
sdxl_vae.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
Expressive_H-000001.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
ChenHaiPDCAMEq2v1 AL.safetensors
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)
EasyNegativeV2.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
unaestheticXL2v10.safetensors
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/239a1206687240c6bb0f507e36b2a908/output-ce89acb7973d4c3faa5d664472243e04-00000-2121690122.webp
https://files.tungsten.run/uploads/145d3acd7f6e4a2caa75516200c05791/output-ad794b8e4d904520850e00f3d44962e2-00001-2121690123.webp
https://files.tungsten.run/uploads/f44cb764094145f595cc7842549a2c78/output-fff3e727ab7b4adf9efa064f5929dd7d-00002-2121690124.webp
Finished in 57.0 seconds
Using seed 2121690122 Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: score_9, score_8_up, score_7_up, score_6_up, source_anime, 1girl, solo, <lora:malon-pdxl-nvwls-v1-000005:1> cremia, red hair, long hair, pointy ears, big breasts, yellow t-shirt, jeans, looking at you, hand on hip, wink, peace sign, blue sky, city, <lora:add-detail-xl:2.0>, <lora:TLS:1.0> Full negative prompt: 3d, monochrome Couldn't find network with name malon-pdxl-nvwls-v1-000005 0%| | 0/24 [00:00<?, ?it/s] 4%|▍ | 1/24 [00:03<01:17, 3.39s/it] 8%|▊ | 2/24 [00:04<00:43, 1.96s/it] 12%|█▎ | 3/24 [00:05<00:31, 1.51s/it] 17%|█▋ | 4/24 [00:06<00:25, 1.29s/it] 21%|██ | 5/24 [00:07<00:22, 1.18s/it] 25%|██▌ | 6/24 [00:08<00:19, 1.11s/it] 29%|██▉ | 7/24 [00:09<00:18, 1.06s/it] 33%|███▎ | 8/24 [00:10<00:16, 1.04s/it] 38%|███▊ | 9/24 [00:11<00:15, 1.02s/it] 42%|████▏ | 10/24 [00:12<00:14, 1.00s/it] 46%|████▌ | 11/24 [00:13<00:12, 1.00it/s] 50%|█████ | 12/24 [00:14<00:11, 1.01it/s] 54%|█████▍ | 13/24 [00:15<00:10, 1.01it/s] 58%|█████▊ | 14/24 [00:16<00:09, 1.01it/s] 62%|██████▎ | 15/24 [00:17<00:08, 1.01it/s] 67%|██████▋ | 16/24 [00:18<00:07, 1.01it/s] 71%|███████ | 17/24 [00:19<00:06, 1.01it/s] 75%|███████▌ | 18/24 [00:20<00:05, 1.01it/s] 79%|███████▉ | 19/24 [00:21<00:04, 1.01it/s] 83%|████████▎ | 20/24 [00:22<00:03, 1.01it/s] 88%|████████▊ | 21/24 [00:23<00:02, 1.01it/s] 92%|█████████▏| 22/24 [00:24<00:01, 1.01it/s] 96%|█████████▌| 23/24 [00:25<00:00, 1.00it/s] 100%|██████████| 24/24 [00:25<00:00, 1.01it/s] 100%|██████████| 24/24 [00:25<00:00, 1.08s/it] Decoding latents in cuda:0... done in 1.76s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 158.2ms Speed: 2.8ms preprocess, 158.2ms inference, 30.1ms postprocess per image at shape (1, 3, 640, 480) Couldn't find network with name malon-pdxl-nvwls-v1-000005 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:03, 2.04it/s] 22%|██▏ | 2/9 [00:00<00:02, 2.41it/s] 33%|███▎ | 3/9 [00:01<00:02, 2.63it/s] 44%|████▍ | 4/9 [00:01<00:01, 2.75it/s] 56%|█████▌ | 5/9 [00:01<00:01, 2.82it/s] 67%|██████▋ | 6/9 [00:02<00:01, 2.84it/s] 78%|███████▊ | 7/9 [00:02<00:00, 2.87it/s] 89%|████████▉ | 8/9 [00:02<00:00, 2.86it/s] 100%|██████████| 9/9 [00:03<00:00, 2.91it/s] 100%|██████████| 9/9 [00:03<00:00, 2.78it/s] Decoding latents in cuda:0... done in 0.59s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.2ms Speed: 2.3ms preprocess, 8.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 480) Couldn't find network with name malon-pdxl-nvwls-v1-000005 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:02, 2.96it/s] 22%|██▏ | 2/9 [00:00<00:02, 2.93it/s] 33%|███▎ | 3/9 [00:01<00:02, 2.87it/s] 44%|████▍ | 4/9 [00:01<00:01, 2.90it/s] 56%|█████▌ | 5/9 [00:01<00:01, 2.81it/s] 67%|██████▋ | 6/9 [00:02<00:01, 2.82it/s] 78%|███████▊ | 7/9 [00:02<00:00, 2.82it/s] 89%|████████▉ | 8/9 [00:02<00:00, 2.85it/s] 100%|██████████| 9/9 [00:03<00:00, 2.88it/s] 100%|██████████| 9/9 [00:03<00:00, 2.86it/s] Decoding latents in cuda:0... done in 0.59s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.6ms Speed: 2.3ms preprocess, 8.6ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480) Couldn't find network with name malon-pdxl-nvwls-v1-000005 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:02, 2.77it/s] 22%|██▏ | 2/9 [00:00<00:02, 2.88it/s] 33%|███▎ | 3/9 [00:01<00:02, 2.89it/s] 44%|████▍ | 4/9 [00:01<00:01, 2.89it/s] 56%|█████▌ | 5/9 [00:01<00:01, 2.90it/s] 67%|██████▋ | 6/9 [00:02<00:01, 2.89it/s] 78%|███████▊ | 7/9 [00:02<00:00, 2.87it/s] 89%|████████▉ | 8/9 [00:02<00:00, 2.82it/s] 100%|██████████| 9/9 [00:03<00:00, 2.87it/s] 100%|██████████| 9/9 [00:03<00:00, 2.87it/s] Decoding latents in cuda:0... done in 0.61s Move latents to cpu... done in 0.0s Uploading files.. Finished.
prompt
Specify things to see in the output
score_9, score_8_up, score_7_up, score_6_up, source_anime, 1girl, solo, <lora:malon-pdxl-nvwls-v1-000005:1> cremia, red hair, long hair, pointy ears, big breasts, yellow t-shirt, jeans, looking at you, hand on hip, wink, peace sign, blue sky, city
negative_prompt
Specify things to not see in the output
3d, monochrome
Detailer
Detailer
0
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
0.35
detail
Enhance/diminish detail while keeping the overall style/character
2
brightness
Adjust brightness
1
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
-1
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
24
cfg_scale
Scale for classifier-free guidance
11
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
sdxl_vae.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
Expressive_H-000001.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
ChenHaiPDCAMEq2v1 AL.safetensors
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)
EasyNegativeV2.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
unaestheticXL2v10.safetensors
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/239a1206687240c6bb0f507e36b2a908/output-ce89acb7973d4c3faa5d664472243e04-00000-2121690122.webp
https://files.tungsten.run/uploads/145d3acd7f6e4a2caa75516200c05791/output-ad794b8e4d904520850e00f3d44962e2-00001-2121690123.webp
https://files.tungsten.run/uploads/f44cb764094145f595cc7842549a2c78/output-fff3e727ab7b4adf9efa064f5929dd7d-00002-2121690124.webp
Finished in 57.0 seconds
Using seed 2121690122 Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: score_9, score_8_up, score_7_up, score_6_up, source_anime, 1girl, solo, <lora:malon-pdxl-nvwls-v1-000005:1> cremia, red hair, long hair, pointy ears, big breasts, yellow t-shirt, jeans, looking at you, hand on hip, wink, peace sign, blue sky, city, <lora:add-detail-xl:2.0>, <lora:TLS:1.0> Full negative prompt: 3d, monochrome Couldn't find network with name malon-pdxl-nvwls-v1-000005 0%| | 0/24 [00:00<?, ?it/s] 4%|▍ | 1/24 [00:03<01:17, 3.39s/it] 8%|▊ | 2/24 [00:04<00:43, 1.96s/it] 12%|█▎ | 3/24 [00:05<00:31, 1.51s/it] 17%|█▋ | 4/24 [00:06<00:25, 1.29s/it] 21%|██ | 5/24 [00:07<00:22, 1.18s/it] 25%|██▌ | 6/24 [00:08<00:19, 1.11s/it] 29%|██▉ | 7/24 [00:09<00:18, 1.06s/it] 33%|███▎ | 8/24 [00:10<00:16, 1.04s/it] 38%|███▊ | 9/24 [00:11<00:15, 1.02s/it] 42%|████▏ | 10/24 [00:12<00:14, 1.00s/it] 46%|████▌ | 11/24 [00:13<00:12, 1.00it/s] 50%|█████ | 12/24 [00:14<00:11, 1.01it/s] 54%|█████▍ | 13/24 [00:15<00:10, 1.01it/s] 58%|█████▊ | 14/24 [00:16<00:09, 1.01it/s] 62%|██████▎ | 15/24 [00:17<00:08, 1.01it/s] 67%|██████▋ | 16/24 [00:18<00:07, 1.01it/s] 71%|███████ | 17/24 [00:19<00:06, 1.01it/s] 75%|███████▌ | 18/24 [00:20<00:05, 1.01it/s] 79%|███████▉ | 19/24 [00:21<00:04, 1.01it/s] 83%|████████▎ | 20/24 [00:22<00:03, 1.01it/s] 88%|████████▊ | 21/24 [00:23<00:02, 1.01it/s] 92%|█████████▏| 22/24 [00:24<00:01, 1.01it/s] 96%|█████████▌| 23/24 [00:25<00:00, 1.00it/s] 100%|██████████| 24/24 [00:25<00:00, 1.01it/s] 100%|██████████| 24/24 [00:25<00:00, 1.08s/it] Decoding latents in cuda:0... done in 1.76s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 158.2ms Speed: 2.8ms preprocess, 158.2ms inference, 30.1ms postprocess per image at shape (1, 3, 640, 480) Couldn't find network with name malon-pdxl-nvwls-v1-000005 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:03, 2.04it/s] 22%|██▏ | 2/9 [00:00<00:02, 2.41it/s] 33%|███▎ | 3/9 [00:01<00:02, 2.63it/s] 44%|████▍ | 4/9 [00:01<00:01, 2.75it/s] 56%|█████▌ | 5/9 [00:01<00:01, 2.82it/s] 67%|██████▋ | 6/9 [00:02<00:01, 2.84it/s] 78%|███████▊ | 7/9 [00:02<00:00, 2.87it/s] 89%|████████▉ | 8/9 [00:02<00:00, 2.86it/s] 100%|██████████| 9/9 [00:03<00:00, 2.91it/s] 100%|██████████| 9/9 [00:03<00:00, 2.78it/s] Decoding latents in cuda:0... done in 0.59s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.2ms Speed: 2.3ms preprocess, 8.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 480) Couldn't find network with name malon-pdxl-nvwls-v1-000005 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:02, 2.96it/s] 22%|██▏ | 2/9 [00:00<00:02, 2.93it/s] 33%|███▎ | 3/9 [00:01<00:02, 2.87it/s] 44%|████▍ | 4/9 [00:01<00:01, 2.90it/s] 56%|█████▌ | 5/9 [00:01<00:01, 2.81it/s] 67%|██████▋ | 6/9 [00:02<00:01, 2.82it/s] 78%|███████▊ | 7/9 [00:02<00:00, 2.82it/s] 89%|████████▉ | 8/9 [00:02<00:00, 2.85it/s] 100%|██████████| 9/9 [00:03<00:00, 2.88it/s] 100%|██████████| 9/9 [00:03<00:00, 2.86it/s] Decoding latents in cuda:0... done in 0.59s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.6ms Speed: 2.3ms preprocess, 8.6ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480) Couldn't find network with name malon-pdxl-nvwls-v1-000005 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:02, 2.77it/s] 22%|██▏ | 2/9 [00:00<00:02, 2.88it/s] 33%|███▎ | 3/9 [00:01<00:02, 2.89it/s] 44%|████▍ | 4/9 [00:01<00:01, 2.89it/s] 56%|█████▌ | 5/9 [00:01<00:01, 2.90it/s] 67%|██████▋ | 6/9 [00:02<00:01, 2.89it/s] 78%|███████▊ | 7/9 [00:02<00:00, 2.87it/s] 89%|████████▉ | 8/9 [00:02<00:00, 2.82it/s] 100%|██████████| 9/9 [00:03<00:00, 2.87it/s] 100%|██████████| 9/9 [00:03<00:00, 2.87it/s] Decoding latents in cuda:0... done in 0.61s Move latents to cpu... done in 0.0s Uploading files.. Finished.