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Girls on Scooters with Messiah SDXL
messiah-sdxl:v1.0
evevalentine2017
evevalentine2017
·
Mar 15
368
Input
prompt
Specify things to see in the output
1 girl, sitting on a scooter, micro shorts, a city, happy
negative_prompt
Specify things to not see in the output
oversaturated, bad quality, worst quality, easynegative, child, kid, loli, underage, realistic, volumetric
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.
1604667280
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 Exponential
samping_steps
Number of denoising steps
20
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>
xl_princess_dress-2.0.safetensors
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)
easynegative.safetensors
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/a61e946417b0462b8a273db216a2f501/00000-1604667280.webp
https://files.tungsten.run/uploads/bacc5a5d11a4433abc1b904f65f31e1d/00001-1604667281.webp
https://files.tungsten.run/uploads/754f65d04e2e444aa3cd55998e0ae133/00002-1604667282.webp
Finished in 69.5 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: 1 girl, sitting on a scooter, micro shorts, a city, happy Full negative prompt: oversaturated, bad quality, worst quality, easynegative, child, kid, loli, underage, realistic, volumetric 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:01<00:30, 1.58s/it] 10%|█ | 2/20 [00:03<00:33, 1.83s/it] 15%|█▌ | 3/20 [00:05<00:33, 1.96s/it] 20%|██ | 4/20 [00:07<00:32, 2.02s/it] 25%|██▌ | 5/20 [00:09<00:30, 2.03s/it] 30%|███ | 6/20 [00:11<00:28, 2.01s/it] 35%|███▌ | 7/20 [00:13<00:25, 1.98s/it] 40%|████ | 8/20 [00:15<00:23, 1.95s/it] 45%|████▌ | 9/20 [00:17<00:21, 1.95s/it] 50%|█████ | 10/20 [00:19<00:19, 1.95s/it] 55%|█████▌ | 11/20 [00:21<00:17, 1.98s/it] 60%|██████ | 12/20 [00:23<00:15, 1.92s/it] 65%|██████▌ | 13/20 [00:25<00:13, 1.90s/it] 70%|███████ | 14/20 [00:26<00:11, 1.86s/it] 75%|███████▌ | 15/20 [00:28<00:09, 1.88s/it] 80%|████████ | 16/20 [00:30<00:07, 1.82s/it] 85%|████████▌ | 17/20 [00:32<00:05, 1.76s/it] 90%|█████████ | 18/20 [00:33<00:03, 1.73s/it] 95%|█████████▌| 19/20 [00:35<00:01, 1.56s/it] 100%|██████████| 20/20 [00:35<00:00, 1.36s/it] 100%|██████████| 20/20 [00:35<00:00, 1.80s/it] Decoding latents in cuda:0... done in 1.69s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 160.2ms Speed: 2.6ms preprocess, 160.2ms inference, 21.7ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:07, 1.14it/s] 20%|██ | 2/10 [00:01<00:06, 1.29it/s] 30%|███ | 3/10 [00:02<00:05, 1.39it/s] 40%|████ | 4/10 [00:02<00:04, 1.46it/s] 50%|█████ | 5/10 [00:03<00:03, 1.43it/s] 60%|██████ | 6/10 [00:04<00:02, 1.45it/s] 70%|███████ | 7/10 [00:04<00:01, 1.51it/s] 80%|████████ | 8/10 [00:05<00:01, 1.53it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.71it/s] 100%|██████████| 10/10 [00:06<00:00, 1.96it/s] 100%|██████████| 10/10 [00:06<00:00, 1.59it/s] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.2ms Speed: 2.4ms preprocess, 8.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:06, 1.32it/s] 20%|██ | 2/10 [00:01<00:05, 1.42it/s] 30%|███ | 3/10 [00:02<00:04, 1.44it/s] 40%|████ | 4/10 [00:02<00:04, 1.49it/s] 50%|█████ | 5/10 [00:03<00:03, 1.50it/s] 60%|██████ | 6/10 [00:04<00:02, 1.46it/s] 70%|███████ | 7/10 [00:04<00:02, 1.44it/s] 80%|████████ | 8/10 [00:05<00:01, 1.44it/s] 90%|█████████ | 9/10 [00:06<00:00, 1.58it/s] 100%|██████████| 10/10 [00:06<00:00, 1.82it/s] 100%|██████████| 10/10 [00:06<00:00, 1.56it/s] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 13.8ms Speed: 3.0ms preprocess, 13.8ms inference, 2.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:07, 1.20it/s] 20%|██ | 2/10 [00:01<00:05, 1.35it/s] 30%|███ | 3/10 [00:02<00:05, 1.36it/s] 40%|████ | 4/10 [00:02<00:04, 1.45it/s] 50%|█████ | 5/10 [00:03<00:03, 1.46it/s] 60%|██████ | 6/10 [00:04<00:02, 1.52it/s] 70%|███████ | 7/10 [00:04<00:01, 1.57it/s] 80%|████████ | 8/10 [00:05<00:01, 1.60it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.77it/s] 100%|██████████| 10/10 [00:06<00:00, 2.02it/s] 100%|██████████| 10/10 [00:06<00:00, 1.64it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
1 girl, sitting on a scooter, micro shorts, a city, happy
negative_prompt
Specify things to not see in the output
oversaturated, bad quality, worst quality, easynegative, child, kid, loli, underage, realistic, volumetric
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.
1604667280
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 Exponential
samping_steps
Number of denoising steps
20
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>
xl_princess_dress-2.0.safetensors
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)
easynegative.safetensors
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/a61e946417b0462b8a273db216a2f501/00000-1604667280.webp
https://files.tungsten.run/uploads/bacc5a5d11a4433abc1b904f65f31e1d/00001-1604667281.webp
https://files.tungsten.run/uploads/754f65d04e2e444aa3cd55998e0ae133/00002-1604667282.webp
Finished in 69.5 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: 1 girl, sitting on a scooter, micro shorts, a city, happy Full negative prompt: oversaturated, bad quality, worst quality, easynegative, child, kid, loli, underage, realistic, volumetric 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:01<00:30, 1.58s/it] 10%|█ | 2/20 [00:03<00:33, 1.83s/it] 15%|█▌ | 3/20 [00:05<00:33, 1.96s/it] 20%|██ | 4/20 [00:07<00:32, 2.02s/it] 25%|██▌ | 5/20 [00:09<00:30, 2.03s/it] 30%|███ | 6/20 [00:11<00:28, 2.01s/it] 35%|███▌ | 7/20 [00:13<00:25, 1.98s/it] 40%|████ | 8/20 [00:15<00:23, 1.95s/it] 45%|████▌ | 9/20 [00:17<00:21, 1.95s/it] 50%|█████ | 10/20 [00:19<00:19, 1.95s/it] 55%|█████▌ | 11/20 [00:21<00:17, 1.98s/it] 60%|██████ | 12/20 [00:23<00:15, 1.92s/it] 65%|██████▌ | 13/20 [00:25<00:13, 1.90s/it] 70%|███████ | 14/20 [00:26<00:11, 1.86s/it] 75%|███████▌ | 15/20 [00:28<00:09, 1.88s/it] 80%|████████ | 16/20 [00:30<00:07, 1.82s/it] 85%|████████▌ | 17/20 [00:32<00:05, 1.76s/it] 90%|█████████ | 18/20 [00:33<00:03, 1.73s/it] 95%|█████████▌| 19/20 [00:35<00:01, 1.56s/it] 100%|██████████| 20/20 [00:35<00:00, 1.36s/it] 100%|██████████| 20/20 [00:35<00:00, 1.80s/it] Decoding latents in cuda:0... done in 1.69s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 160.2ms Speed: 2.6ms preprocess, 160.2ms inference, 21.7ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:07, 1.14it/s] 20%|██ | 2/10 [00:01<00:06, 1.29it/s] 30%|███ | 3/10 [00:02<00:05, 1.39it/s] 40%|████ | 4/10 [00:02<00:04, 1.46it/s] 50%|█████ | 5/10 [00:03<00:03, 1.43it/s] 60%|██████ | 6/10 [00:04<00:02, 1.45it/s] 70%|███████ | 7/10 [00:04<00:01, 1.51it/s] 80%|████████ | 8/10 [00:05<00:01, 1.53it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.71it/s] 100%|██████████| 10/10 [00:06<00:00, 1.96it/s] 100%|██████████| 10/10 [00:06<00:00, 1.59it/s] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.2ms Speed: 2.4ms preprocess, 8.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:06, 1.32it/s] 20%|██ | 2/10 [00:01<00:05, 1.42it/s] 30%|███ | 3/10 [00:02<00:04, 1.44it/s] 40%|████ | 4/10 [00:02<00:04, 1.49it/s] 50%|█████ | 5/10 [00:03<00:03, 1.50it/s] 60%|██████ | 6/10 [00:04<00:02, 1.46it/s] 70%|███████ | 7/10 [00:04<00:02, 1.44it/s] 80%|████████ | 8/10 [00:05<00:01, 1.44it/s] 90%|█████████ | 9/10 [00:06<00:00, 1.58it/s] 100%|██████████| 10/10 [00:06<00:00, 1.82it/s] 100%|██████████| 10/10 [00:06<00:00, 1.56it/s] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 13.8ms Speed: 3.0ms preprocess, 13.8ms inference, 2.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:07, 1.20it/s] 20%|██ | 2/10 [00:01<00:05, 1.35it/s] 30%|███ | 3/10 [00:02<00:05, 1.36it/s] 40%|████ | 4/10 [00:02<00:04, 1.45it/s] 50%|█████ | 5/10 [00:03<00:03, 1.46it/s] 60%|██████ | 6/10 [00:04<00:02, 1.52it/s] 70%|███████ | 7/10 [00:04<00:01, 1.57it/s] 80%|████████ | 8/10 [00:05<00:01, 1.60it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.77it/s] 100%|██████████| 10/10 [00:06<00:00, 2.02it/s] 100%|██████████| 10/10 [00:06<00:00, 1.64it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s Uploading outputs... Finished.