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messiah-sdxl
messiah-sdxl

messiah-sdxl

2 stars
Version: v1.0
Input
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
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.
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.
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.
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.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
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.
Sign in to run this model for free!
Output
https://files.tungsten.run/uploads/b2322e461a1f4c27ba172dde565ef862/00000-1604667280.webp
https://files.tungsten.run/uploads/ddd15a061d784d8e924dccbf296aec7e/00001-1604667281.webp
https://files.tungsten.run/uploads/19947c41ab6945d8ba3c4eab75ebb382/00002-1604667282.webp
This example was created by evevalentine2017
Finished in 69.3 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: red background, close up, masterpiece, best quality, solo, red hair, 1girl holding teddy bear, from above, cute, gothic dress, looking at viewer, pixiv, depth of field Full negative prompt: bad quality, worst quality, easynegative, kid, child, underage, nsfw, nipples, realistic, volumetric 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:01<00:30, 1.60s/it] 10%|█ | 2/20 [00:03<00:33, 1.84s/it] 15%|█▌ | 3/20 [00:05<00:33, 1.98s/it] 20%|██ | 4/20 [00:07<00:32, 2.03s/it] 25%|██▌ | 5/20 [00:09<00:30, 2.05s/it] 30%|███ | 6/20 [00:11<00:28, 2.03s/it] 35%|███▌ | 7/20 [00:13<00:26, 2.01s/it] 40%|████ | 8/20 [00:15<00:23, 1.99s/it] 45%|████▌ | 9/20 [00:17<00:21, 1.98s/it] 50%|█████ | 10/20 [00:19<00:19, 1.99s/it] 55%|█████▌ | 11/20 [00:21<00:18, 2.02s/it] 60%|██████ | 12/20 [00:23<00:15, 1.97s/it] 65%|██████▌ | 13/20 [00:25<00:13, 1.96s/it] 70%|███████ | 14/20 [00:27<00:11, 1.89s/it] 75%|███████▌ | 15/20 [00:29<00:09, 1.90s/it] 80%|████████ | 16/20 [00:31<00:07, 1.83s/it] 85%|████████▌ | 17/20 [00:32<00:05, 1.78s/it] 90%|█████████ | 18/20 [00:34<00:03, 1.77s/it] 95%|█████████▌| 19/20 [00:35<00:01, 1.61s/it] 100%|██████████| 20/20 [00:36<00:00, 1.41s/it] 100%|██████████| 20/20 [00:36<00:00, 1.83s/it] Decoding latents in cuda:0... done in 1.78s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 199.3ms Speed: 3.4ms preprocess, 199.3ms inference, 23.1ms 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<00:06, 1.33it/s] 30%|███ | 3/10 [00:02<00:04, 1.43it/s] 40%|████ | 4/10 [00:02<00:03, 1.51it/s] 50%|█████ | 5/10 [00:03<00:03, 1.47it/s] 60%|██████ | 6/10 [00:04<00:02, 1.53it/s] 70%|███████ | 7/10 [00:04<00:01, 1.59it/s] 80%|████████ | 8/10 [00:05<00:01, 1.61it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.74it/s] 100%|██████████| 10/10 [00:06<00:00, 2.01it/s] 100%|██████████| 10/10 [00:06<00:00, 1.65it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 9.8ms Speed: 2.6ms preprocess, 9.8ms inference, 1.9ms 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, 1.47it/s] 30%|███ | 3/10 [00:02<00:04, 1.43it/s] 40%|████ | 4/10 [00:02<00:04, 1.47it/s] 50%|█████ | 5/10 [00:03<00:03, 1.45it/s] 60%|██████ | 6/10 [00:04<00:02, 1.51it/s] 70%|███████ | 7/10 [00:04<00:01, 1.57it/s] 80%|████████ | 8/10 [00:05<00:01, 1.59it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.75it/s] 100%|██████████| 10/10 [00:06<00:00, 1.98it/s] 100%|██████████| 10/10 [00:06<00:00, 1.65it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 10.6ms Speed: 2.9ms preprocess, 10.6ms 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, 1.32it/s] 20%|██ | 2/10 [00:01<00:05, 1.41it/s] 30%|███ | 3/10 [00:02<00:04, 1.43it/s] 40%|████ | 4/10 [00:02<00:03, 1.52it/s] 50%|█████ | 5/10 [00:03<00:03, 1.49it/s] 60%|██████ | 6/10 [00:04<00:02, 1.55it/s] 70%|███████ | 7/10 [00:04<00:01, 1.58it/s] 80%|████████ | 8/10 [00:05<00:01, 1.57it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.72it/s] 100%|██████████| 10/10 [00:06<00:00, 1.97it/s] 100%|██████████| 10/10 [00:06<00:00, 1.65it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
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.
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.
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.
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.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
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.
Sign in to run this model for free!
https://files.tungsten.run/uploads/b2322e461a1f4c27ba172dde565ef862/00000-1604667280.webp
https://files.tungsten.run/uploads/ddd15a061d784d8e924dccbf296aec7e/00001-1604667281.webp
https://files.tungsten.run/uploads/19947c41ab6945d8ba3c4eab75ebb382/00002-1604667282.webp
This example was created by evevalentine2017
Finished in 69.3 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: red background, close up, masterpiece, best quality, solo, red hair, 1girl holding teddy bear, from above, cute, gothic dress, looking at viewer, pixiv, depth of field Full negative prompt: bad quality, worst quality, easynegative, kid, child, underage, nsfw, nipples, realistic, volumetric 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:01<00:30, 1.60s/it] 10%|█ | 2/20 [00:03<00:33, 1.84s/it] 15%|█▌ | 3/20 [00:05<00:33, 1.98s/it] 20%|██ | 4/20 [00:07<00:32, 2.03s/it] 25%|██▌ | 5/20 [00:09<00:30, 2.05s/it] 30%|███ | 6/20 [00:11<00:28, 2.03s/it] 35%|███▌ | 7/20 [00:13<00:26, 2.01s/it] 40%|████ | 8/20 [00:15<00:23, 1.99s/it] 45%|████▌ | 9/20 [00:17<00:21, 1.98s/it] 50%|█████ | 10/20 [00:19<00:19, 1.99s/it] 55%|█████▌ | 11/20 [00:21<00:18, 2.02s/it] 60%|██████ | 12/20 [00:23<00:15, 1.97s/it] 65%|██████▌ | 13/20 [00:25<00:13, 1.96s/it] 70%|███████ | 14/20 [00:27<00:11, 1.89s/it] 75%|███████▌ | 15/20 [00:29<00:09, 1.90s/it] 80%|████████ | 16/20 [00:31<00:07, 1.83s/it] 85%|████████▌ | 17/20 [00:32<00:05, 1.78s/it] 90%|█████████ | 18/20 [00:34<00:03, 1.77s/it] 95%|█████████▌| 19/20 [00:35<00:01, 1.61s/it] 100%|██████████| 20/20 [00:36<00:00, 1.41s/it] 100%|██████████| 20/20 [00:36<00:00, 1.83s/it] Decoding latents in cuda:0... done in 1.78s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 199.3ms Speed: 3.4ms preprocess, 199.3ms inference, 23.1ms 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<00:06, 1.33it/s] 30%|███ | 3/10 [00:02<00:04, 1.43it/s] 40%|████ | 4/10 [00:02<00:03, 1.51it/s] 50%|█████ | 5/10 [00:03<00:03, 1.47it/s] 60%|██████ | 6/10 [00:04<00:02, 1.53it/s] 70%|███████ | 7/10 [00:04<00:01, 1.59it/s] 80%|████████ | 8/10 [00:05<00:01, 1.61it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.74it/s] 100%|██████████| 10/10 [00:06<00:00, 2.01it/s] 100%|██████████| 10/10 [00:06<00:00, 1.65it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 9.8ms Speed: 2.6ms preprocess, 9.8ms inference, 1.9ms 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, 1.47it/s] 30%|███ | 3/10 [00:02<00:04, 1.43it/s] 40%|████ | 4/10 [00:02<00:04, 1.47it/s] 50%|█████ | 5/10 [00:03<00:03, 1.45it/s] 60%|██████ | 6/10 [00:04<00:02, 1.51it/s] 70%|███████ | 7/10 [00:04<00:01, 1.57it/s] 80%|████████ | 8/10 [00:05<00:01, 1.59it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.75it/s] 100%|██████████| 10/10 [00:06<00:00, 1.98it/s] 100%|██████████| 10/10 [00:06<00:00, 1.65it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 10.6ms Speed: 2.9ms preprocess, 10.6ms 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, 1.32it/s] 20%|██ | 2/10 [00:01<00:05, 1.41it/s] 30%|███ | 3/10 [00:02<00:04, 1.43it/s] 40%|████ | 4/10 [00:02<00:03, 1.52it/s] 50%|█████ | 5/10 [00:03<00:03, 1.49it/s] 60%|██████ | 6/10 [00:04<00:02, 1.55it/s] 70%|███████ | 7/10 [00:04<00:01, 1.58it/s] 80%|████████ | 8/10 [00:05<00:01, 1.57it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.72it/s] 100%|██████████| 10/10 [00:06<00:00, 1.97it/s] 100%|██████████| 10/10 [00:06<00:00, 1.65it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s Uploading outputs... Finished.