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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/a21e34cf4cf1461eaa2f1aa448a696da/00000-1604667280.webp
https://files.tungsten.run/uploads/1415abd7c6364c0dadb3b77364d3139c/00001-1604667281.webp
https://files.tungsten.run/uploads/5611c603022b4ccb854ee86f7d5fa01d/00002-1604667282.webp
This example was created by evevalentine2017
Finished in 69.6 seconds
Preparing model evevalentine2017/messiah-sdxl:v1.0... v1.0: Pulling from evevalentine2017/messiah-sdxl 578acb154839: Already exists ac65017cfc56: Already exists 146269b80f9c: Already exists b51bc62cc3ca: Already exists 4ba34dd48a55: Already exists 2c0d7edf2b4f: Already exists bd3aa092d934: Already exists a2a0b079260c: Already exists 48e8a1cea0b1: Already exists 607175607db9: Already exists 44762e60be28: Already exists d1e8a6995bc7: Already exists 8915fc22d7d8: Already exists e186b03af121: Already exists 4f4fb700ef54: Already exists 030de23c0760: Already exists c4d83eac50e9: Pull complete c08ed6562fa4: Pull complete dfa03546b008: Pull complete Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: 1girl in city, holding bag, looking at viewer, winter clothes, cute, solo, brown hair, brown eyes, pixiv, depth of field, night Full negative prompt: bad quality, worst quality, easynegative, realistic, oversaturated, volumetric, nipples, nsfw 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:01<00:29, 1.58s/it] 10%|█ | 2/20 [00:04<00:44, 2.45s/it] 15%|█▌ | 3/20 [00:07<00:47, 2.77s/it] 20%|██ | 4/20 [00:09<00:39, 2.50s/it] 25%|██▌ | 5/20 [00:11<00:35, 2.34s/it] 30%|███ | 6/20 [00:13<00:31, 2.22s/it] 35%|███▌ | 7/20 [00:15<00:27, 2.11s/it] 40%|████ | 8/20 [00:17<00:24, 2.04s/it] 45%|████▌ | 9/20 [00:19<00:21, 2.00s/it] 50%|█████ | 10/20 [00:21<00:19, 1.97s/it] 55%|█████▌ | 11/20 [00:23<00:17, 1.99s/it] 60%|██████ | 12/20 [00:25<00:15, 1.94s/it] 65%|██████▌ | 13/20 [00:27<00:13, 1.92s/it] 70%|███████ | 14/20 [00:28<00:11, 1.85s/it] 75%|███████▌ | 15/20 [00:30<00:09, 1.86s/it] 80%|████████ | 16/20 [00:32<00:07, 1.79s/it] 85%|████████▌ | 17/20 [00:34<00:05, 1.74s/it] 90%|█████████ | 18/20 [00:35<00:03, 1.72s/it] 95%|█████████▌| 19/20 [00:36<00:01, 1.56s/it] 100%|██████████| 20/20 [00:37<00:00, 1.36s/it] 100%|██████████| 20/20 [00:37<00:00, 1.89s/it] Decoding latents in cuda:0... done in 1.69s Move latents to cpu... done in 0.02s 0: 480x640 1 face, 165.6ms Speed: 2.6ms preprocess, 165.6ms inference, 19.8ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:07, 1.14it/s] 20%|██ | 2/10 [00:01<00:05, 1.34it/s] 30%|███ | 3/10 [00:02<00:04, 1.40it/s] 40%|████ | 4/10 [00:02<00:03, 1.50it/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, 1.59it/s] 80%|████████ | 8/10 [00:05<00:01, 1.63it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.80it/s] 100%|██████████| 10/10 [00:06<00:00, 2.06it/s] 100%|██████████| 10/10 [00:06<00:00, 1.66it/s] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0: 480x640 1 face, 8.1ms Speed: 2.5ms preprocess, 8.1ms inference, 1.5ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:06, 1.43it/s] 20%|██ | 2/10 [00:01<00:05, 1.51it/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, 1.58it/s] 60%|██████ | 6/10 [00:03<00:02, 1.63it/s] 70%|███████ | 7/10 [00:04<00:01, 1.66it/s] 80%|████████ | 8/10 [00:04<00:01, 1.65it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.79it/s] 100%|██████████| 10/10 [00:05<00:00, 2.03it/s] 100%|██████████| 10/10 [00:05<00:00, 1.73it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0: 480x640 1 face, 8.4ms Speed: 2.4ms preprocess, 8.4ms inference, 1.8ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:06, 1.34it/s] 20%|██ | 2/10 [00:01<00:05, 1.44it/s] 30%|███ | 3/10 [00:02<00:04, 1.48it/s] 40%|████ | 4/10 [00:02<00:03, 1.55it/s] 50%|█████ | 5/10 [00:03<00:03, 1.54it/s] 60%|██████ | 6/10 [00:03<00:02, 1.58it/s] 70%|███████ | 7/10 [00:04<00:01, 1.59it/s] 80%|████████ | 8/10 [00:05<00:01, 1.63it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.77it/s] 100%|██████████| 10/10 [00:05<00:00, 2.04it/s] 100%|██████████| 10/10 [00:05<00:00, 1.69it/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
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/a21e34cf4cf1461eaa2f1aa448a696da/00000-1604667280.webp
https://files.tungsten.run/uploads/1415abd7c6364c0dadb3b77364d3139c/00001-1604667281.webp
https://files.tungsten.run/uploads/5611c603022b4ccb854ee86f7d5fa01d/00002-1604667282.webp
This example was created by evevalentine2017
Finished in 69.6 seconds
Preparing model evevalentine2017/messiah-sdxl:v1.0... v1.0: Pulling from evevalentine2017/messiah-sdxl 578acb154839: Already exists ac65017cfc56: Already exists 146269b80f9c: Already exists b51bc62cc3ca: Already exists 4ba34dd48a55: Already exists 2c0d7edf2b4f: Already exists bd3aa092d934: Already exists a2a0b079260c: Already exists 48e8a1cea0b1: Already exists 607175607db9: Already exists 44762e60be28: Already exists d1e8a6995bc7: Already exists 8915fc22d7d8: Already exists e186b03af121: Already exists 4f4fb700ef54: Already exists 030de23c0760: Already exists c4d83eac50e9: Pull complete c08ed6562fa4: Pull complete dfa03546b008: Pull complete Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: 1girl in city, holding bag, looking at viewer, winter clothes, cute, solo, brown hair, brown eyes, pixiv, depth of field, night Full negative prompt: bad quality, worst quality, easynegative, realistic, oversaturated, volumetric, nipples, nsfw 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:01<00:29, 1.58s/it] 10%|█ | 2/20 [00:04<00:44, 2.45s/it] 15%|█▌ | 3/20 [00:07<00:47, 2.77s/it] 20%|██ | 4/20 [00:09<00:39, 2.50s/it] 25%|██▌ | 5/20 [00:11<00:35, 2.34s/it] 30%|███ | 6/20 [00:13<00:31, 2.22s/it] 35%|███▌ | 7/20 [00:15<00:27, 2.11s/it] 40%|████ | 8/20 [00:17<00:24, 2.04s/it] 45%|████▌ | 9/20 [00:19<00:21, 2.00s/it] 50%|█████ | 10/20 [00:21<00:19, 1.97s/it] 55%|█████▌ | 11/20 [00:23<00:17, 1.99s/it] 60%|██████ | 12/20 [00:25<00:15, 1.94s/it] 65%|██████▌ | 13/20 [00:27<00:13, 1.92s/it] 70%|███████ | 14/20 [00:28<00:11, 1.85s/it] 75%|███████▌ | 15/20 [00:30<00:09, 1.86s/it] 80%|████████ | 16/20 [00:32<00:07, 1.79s/it] 85%|████████▌ | 17/20 [00:34<00:05, 1.74s/it] 90%|█████████ | 18/20 [00:35<00:03, 1.72s/it] 95%|█████████▌| 19/20 [00:36<00:01, 1.56s/it] 100%|██████████| 20/20 [00:37<00:00, 1.36s/it] 100%|██████████| 20/20 [00:37<00:00, 1.89s/it] Decoding latents in cuda:0... done in 1.69s Move latents to cpu... done in 0.02s 0: 480x640 1 face, 165.6ms Speed: 2.6ms preprocess, 165.6ms inference, 19.8ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:07, 1.14it/s] 20%|██ | 2/10 [00:01<00:05, 1.34it/s] 30%|███ | 3/10 [00:02<00:04, 1.40it/s] 40%|████ | 4/10 [00:02<00:03, 1.50it/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, 1.59it/s] 80%|████████ | 8/10 [00:05<00:01, 1.63it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.80it/s] 100%|██████████| 10/10 [00:06<00:00, 2.06it/s] 100%|██████████| 10/10 [00:06<00:00, 1.66it/s] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0: 480x640 1 face, 8.1ms Speed: 2.5ms preprocess, 8.1ms inference, 1.5ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:06, 1.43it/s] 20%|██ | 2/10 [00:01<00:05, 1.51it/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, 1.58it/s] 60%|██████ | 6/10 [00:03<00:02, 1.63it/s] 70%|███████ | 7/10 [00:04<00:01, 1.66it/s] 80%|████████ | 8/10 [00:04<00:01, 1.65it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.79it/s] 100%|██████████| 10/10 [00:05<00:00, 2.03it/s] 100%|██████████| 10/10 [00:05<00:00, 1.73it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0: 480x640 1 face, 8.4ms Speed: 2.4ms preprocess, 8.4ms inference, 1.8ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:06, 1.34it/s] 20%|██ | 2/10 [00:01<00:05, 1.44it/s] 30%|███ | 3/10 [00:02<00:04, 1.48it/s] 40%|████ | 4/10 [00:02<00:03, 1.55it/s] 50%|█████ | 5/10 [00:03<00:03, 1.54it/s] 60%|██████ | 6/10 [00:03<00:02, 1.58it/s] 70%|███████ | 7/10 [00:04<00:01, 1.59it/s] 80%|████████ | 8/10 [00:05<00:01, 1.63it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.77it/s] 100%|██████████| 10/10 [00:05<00:00, 2.04it/s] 100%|██████████| 10/10 [00:05<00:00, 1.69it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s Uploading outputs... Finished.