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Plushies Shop with Messiah SDXL
messiah-sdxl:v1.0
evevalentine2017
evevalentine2017
·
Mar 15
367
Input
prompt
Specify things to see in the output
from above, solo, 1girl, anime, standing in a store with lots of stuffed animals on the shelves, depth of field, fisheye lens, facing front
negative_prompt
Specify things to not see in the output
bad quality, worst quality, easynegative, kid, child, underage, nsfw, nipples, 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>
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/d1cc679b10024dccbc567e64ce372c7c/00000-1604667280.webp
https://files.tungsten.run/uploads/5564acd0f3e2453897bf9eaf59d4a827/00001-1604667281.webp
https://files.tungsten.run/uploads/d43923e5c8554b4aba50d700c32507f3/00002-1604667282.webp
Finished in 62.0 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: from above, solo, 1girl, anime, standing in a store with lots of stuffed animals on the shelves, depth of field, fisheye lens, facing front 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, 1.86s/it] 15%|█▌ | 3/20 [00:05<00:34, 2.02s/it] 20%|██ | 4/20 [00:08<00:33, 2.07s/it] 25%|██▌ | 5/20 [00:10<00:31, 2.10s/it] 30%|███ | 6/20 [00:12<00:29, 2.08s/it] 35%|███▌ | 7/20 [00:14<00:26, 2.04s/it] 40%|████ | 8/20 [00:16<00:24, 2.02s/it] 45%|████▌ | 9/20 [00:18<00:22, 2.01s/it] 50%|█████ | 10/20 [00:20<00:20, 2.01s/it] 55%|█████▌ | 11/20 [00:22<00:18, 2.04s/it] 60%|██████ | 12/20 [00:24<00:15, 1.98s/it] 65%|██████▌ | 13/20 [00:25<00:13, 1.97s/it] 70%|███████ | 14/20 [00:27<00:11, 1.90s/it] 75%|███████▌ | 15/20 [00:29<00:09, 1.91s/it] 80%|████████ | 16/20 [00:31<00:07, 1.84s/it] 85%|████████▌ | 17/20 [00:33<00:05, 1.80s/it] 90%|█████████ | 18/20 [00:34<00:03, 1.78s/it] 95%|█████████▌| 19/20 [00:36<00:01, 1.62s/it] 100%|██████████| 20/20 [00:36<00:00, 1.41s/it] 100%|██████████| 20/20 [00:36<00:00, 1.85s/it] Decoding latents in cuda:0... done in 1.75s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 162.3ms Speed: 3.1ms preprocess, 162.3ms inference, 35.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:07, 1.17it/s] 20%|██ | 2/10 [00:01<00:05, 1.37it/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, 1.50it/s] 60%|██████ | 6/10 [00:04<00:02, 1.57it/s] 70%|███████ | 7/10 [00:04<00:01, 1.61it/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, 2.05it/s] 100%|██████████| 10/10 [00:05<00:00, 1.67it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.6ms Speed: 2.5ms preprocess, 8.6ms inference, 1.6ms 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, 1.49it/s] 30%|███ | 3/10 [00:02<00:04, 1.50it/s] 40%|████ | 4/10 [00:02<00:03, 1.56it/s] 50%|█████ | 5/10 [00:03<00:03, 1.50it/s] 60%|██████ | 6/10 [00:04<00:02, 1.36it/s] 70%|███████ | 7/10 [00:04<00:02, 1.48it/s] 80%|████████ | 8/10 [00:05<00:01, 1.52it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.70it/s] 100%|██████████| 10/10 [00:06<00:00, 1.96it/s] 100%|██████████| 10/10 [00:06<00:00, 1.63it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 640x480 (no detections), 8.8ms Speed: 2.6ms preprocess, 8.8ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 3 with 1st settings. Uploading outputs... Finished.
prompt
Specify things to see in the output
from above, solo, 1girl, anime, standing in a store with lots of stuffed animals on the shelves, depth of field, fisheye lens, facing front
negative_prompt
Specify things to not see in the output
bad quality, worst quality, easynegative, kid, child, underage, nsfw, nipples, 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>
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/d1cc679b10024dccbc567e64ce372c7c/00000-1604667280.webp
https://files.tungsten.run/uploads/5564acd0f3e2453897bf9eaf59d4a827/00001-1604667281.webp
https://files.tungsten.run/uploads/d43923e5c8554b4aba50d700c32507f3/00002-1604667282.webp
Finished in 62.0 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: from above, solo, 1girl, anime, standing in a store with lots of stuffed animals on the shelves, depth of field, fisheye lens, facing front 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, 1.86s/it] 15%|█▌ | 3/20 [00:05<00:34, 2.02s/it] 20%|██ | 4/20 [00:08<00:33, 2.07s/it] 25%|██▌ | 5/20 [00:10<00:31, 2.10s/it] 30%|███ | 6/20 [00:12<00:29, 2.08s/it] 35%|███▌ | 7/20 [00:14<00:26, 2.04s/it] 40%|████ | 8/20 [00:16<00:24, 2.02s/it] 45%|████▌ | 9/20 [00:18<00:22, 2.01s/it] 50%|█████ | 10/20 [00:20<00:20, 2.01s/it] 55%|█████▌ | 11/20 [00:22<00:18, 2.04s/it] 60%|██████ | 12/20 [00:24<00:15, 1.98s/it] 65%|██████▌ | 13/20 [00:25<00:13, 1.97s/it] 70%|███████ | 14/20 [00:27<00:11, 1.90s/it] 75%|███████▌ | 15/20 [00:29<00:09, 1.91s/it] 80%|████████ | 16/20 [00:31<00:07, 1.84s/it] 85%|████████▌ | 17/20 [00:33<00:05, 1.80s/it] 90%|█████████ | 18/20 [00:34<00:03, 1.78s/it] 95%|█████████▌| 19/20 [00:36<00:01, 1.62s/it] 100%|██████████| 20/20 [00:36<00:00, 1.41s/it] 100%|██████████| 20/20 [00:36<00:00, 1.85s/it] Decoding latents in cuda:0... done in 1.75s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 162.3ms Speed: 3.1ms preprocess, 162.3ms inference, 35.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:07, 1.17it/s] 20%|██ | 2/10 [00:01<00:05, 1.37it/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, 1.50it/s] 60%|██████ | 6/10 [00:04<00:02, 1.57it/s] 70%|███████ | 7/10 [00:04<00:01, 1.61it/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, 2.05it/s] 100%|██████████| 10/10 [00:05<00:00, 1.67it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.6ms Speed: 2.5ms preprocess, 8.6ms inference, 1.6ms 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, 1.49it/s] 30%|███ | 3/10 [00:02<00:04, 1.50it/s] 40%|████ | 4/10 [00:02<00:03, 1.56it/s] 50%|█████ | 5/10 [00:03<00:03, 1.50it/s] 60%|██████ | 6/10 [00:04<00:02, 1.36it/s] 70%|███████ | 7/10 [00:04<00:02, 1.48it/s] 80%|████████ | 8/10 [00:05<00:01, 1.52it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.70it/s] 100%|██████████| 10/10 [00:06<00:00, 1.96it/s] 100%|██████████| 10/10 [00:06<00:00, 1.63it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 640x480 (no detections), 8.8ms Speed: 2.6ms preprocess, 8.8ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 3 with 1st settings. Uploading outputs... Finished.