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Princess Dress with Messiah SDXL
messiah-sdxl:v1.0
evevalentine2017
evevalentine2017
·
Mar 15
331
Input
prompt
Specify things to see in the output
breathtaking screencap, beautiful young woman wearing a birch princess dress, castle background, smile, <lora:xl_princess_dress-2.0:0.8>,
negative_prompt
Specify things to not see in the output
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/41055794b7e94dd184819b85c0103465/00000-1604667280.webp
https://files.tungsten.run/uploads/36e43449a0f642a59f51fc95ac64bcd0/00001-1604667281.webp
https://files.tungsten.run/uploads/1e63e35a942a4aaea89c5b4d75591333/00002-1604667282.webp
Finished in 73.6 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: breathtaking screencap, beautiful young woman wearing a birch princess dress, castle background, smile, <lora:xl_princess_dress-2.0:0.8>, Full negative prompt: bad quality, worst quality, easynegative, child, kid, loli, underage, realistic, volumetric 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:02<00:55, 2.94s/it] 10%|█ | 2/20 [00:04<00:43, 2.39s/it] 15%|█▌ | 3/20 [00:07<00:38, 2.28s/it] 20%|██ | 4/20 [00:09<00:35, 2.21s/it] 25%|██▌ | 5/20 [00:11<00:32, 2.18s/it] 30%|███ | 6/20 [00:13<00:29, 2.13s/it] 35%|███▌ | 7/20 [00:15<00:27, 2.08s/it] 40%|████ | 8/20 [00:17<00:24, 2.04s/it] 45%|████▌ | 9/20 [00:19<00:22, 2.04s/it] 50%|█████ | 10/20 [00:21<00:20, 2.04s/it] 55%|█████▌ | 11/20 [00:23<00:18, 2.06s/it] 60%|██████ | 12/20 [00:25<00:16, 2.00s/it] 65%|██████▌ | 13/20 [00:27<00:13, 1.97s/it] 70%|███████ | 14/20 [00:28<00:11, 1.89s/it] 75%|███████▌ | 15/20 [00:30<00:09, 1.90s/it] 80%|████████ | 16/20 [00:32<00:07, 1.83s/it] 85%|████████▌ | 17/20 [00:34<00:05, 1.79s/it] 90%|█████████ | 18/20 [00:35<00:03, 1.76s/it] 95%|█████████▌| 19/20 [00:37<00:01, 1.61s/it] 100%|██████████| 20/20 [00:38<00:00, 1.40s/it] 100%|██████████| 20/20 [00:38<00:00, 1.91s/it] Decoding latents in cuda:0... done in 1.74s Move latents to cpu... done in 0.03s 0: 640x480 1 face, 160.3ms Speed: 3.2ms preprocess, 160.3ms inference, 22.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:07, 1.16it/s] 20%|██ | 2/10 [00:01<00:05, 1.36it/s] 30%|███ | 3/10 [00:02<00:04, 1.43it/s] 40%|████ | 4/10 [00:02<00:03, 1.53it/s] 50%|█████ | 5/10 [00:03<00:03, 1.53it/s] 60%|██████ | 6/10 [00:03<00:02, 1.59it/s] 70%|███████ | 7/10 [00:04<00:01, 1.62it/s] 80%|████████ | 8/10 [00:05<00:01, 1.63it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.80it/s] 100%|██████████| 10/10 [00:05<00:00, 2.03it/s] 100%|██████████| 10/10 [00:05<00:00, 1.68it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.0ms Speed: 2.5ms preprocess, 8.0ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:06, 1.42it/s] 20%|██ | 2/10 [00:01<00:05, 1.49it/s] 30%|███ | 3/10 [00:02<00:04, 1.49it/s] 40%|████ | 4/10 [00:02<00:03, 1.56it/s] 50%|█████ | 5/10 [00:03<00:03, 1.54it/s] 60%|██████ | 6/10 [00:03<00:02, 1.60it/s] 70%|███████ | 7/10 [00:04<00:01, 1.60it/s] 80%|████████ | 8/10 [00:05<00:01, 1.64it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.82it/s] 100%|██████████| 10/10 [00:05<00:00, 2.08it/s] 100%|██████████| 10/10 [00:05<00:00, 1.72it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.5ms Speed: 3.0ms preprocess, 8.5ms 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, 1.39it/s] 20%|██ | 2/10 [00:01<00:05, 1.50it/s] 30%|███ | 3/10 [00:01<00:04, 1.52it/s] 40%|████ | 4/10 [00:02<00:03, 1.59it/s] 50%|█████ | 5/10 [00:03<00:03, 1.55it/s] 60%|██████ | 6/10 [00:03<00:02, 1.55it/s] 70%|███████ | 7/10 [00:04<00:01, 1.62it/s] 80%|████████ | 8/10 [00:05<00:01, 1.65it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.82it/s] 100%|██████████| 10/10 [00:05<00:00, 2.04it/s] 100%|██████████| 10/10 [00:05<00:00, 1.72it/s] Decoding 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
breathtaking screencap, beautiful young woman wearing a birch princess dress, castle background, smile, <lora:xl_princess_dress-2.0:0.8>,
negative_prompt
Specify things to not see in the output
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/41055794b7e94dd184819b85c0103465/00000-1604667280.webp
https://files.tungsten.run/uploads/36e43449a0f642a59f51fc95ac64bcd0/00001-1604667281.webp
https://files.tungsten.run/uploads/1e63e35a942a4aaea89c5b4d75591333/00002-1604667282.webp
Finished in 73.6 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: breathtaking screencap, beautiful young woman wearing a birch princess dress, castle background, smile, <lora:xl_princess_dress-2.0:0.8>, Full negative prompt: bad quality, worst quality, easynegative, child, kid, loli, underage, realistic, volumetric 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:02<00:55, 2.94s/it] 10%|█ | 2/20 [00:04<00:43, 2.39s/it] 15%|█▌ | 3/20 [00:07<00:38, 2.28s/it] 20%|██ | 4/20 [00:09<00:35, 2.21s/it] 25%|██▌ | 5/20 [00:11<00:32, 2.18s/it] 30%|███ | 6/20 [00:13<00:29, 2.13s/it] 35%|███▌ | 7/20 [00:15<00:27, 2.08s/it] 40%|████ | 8/20 [00:17<00:24, 2.04s/it] 45%|████▌ | 9/20 [00:19<00:22, 2.04s/it] 50%|█████ | 10/20 [00:21<00:20, 2.04s/it] 55%|█████▌ | 11/20 [00:23<00:18, 2.06s/it] 60%|██████ | 12/20 [00:25<00:16, 2.00s/it] 65%|██████▌ | 13/20 [00:27<00:13, 1.97s/it] 70%|███████ | 14/20 [00:28<00:11, 1.89s/it] 75%|███████▌ | 15/20 [00:30<00:09, 1.90s/it] 80%|████████ | 16/20 [00:32<00:07, 1.83s/it] 85%|████████▌ | 17/20 [00:34<00:05, 1.79s/it] 90%|█████████ | 18/20 [00:35<00:03, 1.76s/it] 95%|█████████▌| 19/20 [00:37<00:01, 1.61s/it] 100%|██████████| 20/20 [00:38<00:00, 1.40s/it] 100%|██████████| 20/20 [00:38<00:00, 1.91s/it] Decoding latents in cuda:0... done in 1.74s Move latents to cpu... done in 0.03s 0: 640x480 1 face, 160.3ms Speed: 3.2ms preprocess, 160.3ms inference, 22.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:07, 1.16it/s] 20%|██ | 2/10 [00:01<00:05, 1.36it/s] 30%|███ | 3/10 [00:02<00:04, 1.43it/s] 40%|████ | 4/10 [00:02<00:03, 1.53it/s] 50%|█████ | 5/10 [00:03<00:03, 1.53it/s] 60%|██████ | 6/10 [00:03<00:02, 1.59it/s] 70%|███████ | 7/10 [00:04<00:01, 1.62it/s] 80%|████████ | 8/10 [00:05<00:01, 1.63it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.80it/s] 100%|██████████| 10/10 [00:05<00:00, 2.03it/s] 100%|██████████| 10/10 [00:05<00:00, 1.68it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.0ms Speed: 2.5ms preprocess, 8.0ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:06, 1.42it/s] 20%|██ | 2/10 [00:01<00:05, 1.49it/s] 30%|███ | 3/10 [00:02<00:04, 1.49it/s] 40%|████ | 4/10 [00:02<00:03, 1.56it/s] 50%|█████ | 5/10 [00:03<00:03, 1.54it/s] 60%|██████ | 6/10 [00:03<00:02, 1.60it/s] 70%|███████ | 7/10 [00:04<00:01, 1.60it/s] 80%|████████ | 8/10 [00:05<00:01, 1.64it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.82it/s] 100%|██████████| 10/10 [00:05<00:00, 2.08it/s] 100%|██████████| 10/10 [00:05<00:00, 1.72it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.5ms Speed: 3.0ms preprocess, 8.5ms 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, 1.39it/s] 20%|██ | 2/10 [00:01<00:05, 1.50it/s] 30%|███ | 3/10 [00:01<00:04, 1.52it/s] 40%|████ | 4/10 [00:02<00:03, 1.59it/s] 50%|█████ | 5/10 [00:03<00:03, 1.55it/s] 60%|██████ | 6/10 [00:03<00:02, 1.55it/s] 70%|███████ | 7/10 [00:04<00:01, 1.62it/s] 80%|████████ | 8/10 [00:05<00:01, 1.65it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.82it/s] 100%|██████████| 10/10 [00:05<00:00, 2.04it/s] 100%|██████████| 10/10 [00:05<00:00, 1.72it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s Uploading outputs... Finished.