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bri-sdxl
bri-sdxl

bri-sdxl

3 stars
Version: v5.0
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.
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Output
https://files.tungsten.run/uploads/f087fda39ffc4271a984340a4c03e8aa/00000-1168690776.webp
https://files.tungsten.run/uploads/4275bdc214454d289102a4abaf076dfd/00001-1168690777.webp
https://files.tungsten.run/uploads/4e4eaf54e1b34d5a85016dd723e2d9d0/00002-1168690778.webp
This example was created by evevalentine2017
Finished in 100.7 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: cig anime oil painting, portrait of a Mongolian man wearing science fiction armor designed by Banu merchantman, outdoors fiaf Full negative prompt: desaturated, spaceship, boring, uplifting, cartoon, collage, montage, full body, 3d, CGI, video game, artificial lighting, bright, monotone, dull, medieval, knight, easynegative, 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:56, 1.96s/it] 7%|▋ | 2/30 [00:03<00:55, 1.98s/it] 10%|█ | 3/30 [00:05<00:53, 1.99s/it] 13%|█▎ | 4/30 [00:07<00:51, 1.99s/it] 17%|█▋ | 5/30 [00:09<00:49, 2.00s/it] 20%|██ | 6/30 [00:11<00:48, 2.00s/it] 23%|██▎ | 7/30 [00:13<00:46, 2.01s/it] 27%|██▋ | 8/30 [00:16<00:44, 2.02s/it] 30%|███ | 9/30 [00:18<00:42, 2.02s/it] 33%|███▎ | 10/30 [00:20<00:40, 2.03s/it] 37%|███▋ | 11/30 [00:22<00:38, 2.03s/it] 40%|████ | 12/30 [00:24<00:36, 2.03s/it] 43%|████▎ | 13/30 [00:26<00:34, 2.04s/it] 47%|████▋ | 14/30 [00:28<00:32, 2.03s/it] 50%|█████ | 15/30 [00:30<00:30, 2.03s/it] 53%|█████▎ | 16/30 [00:32<00:28, 2.03s/it] 57%|█████▋ | 17/30 [00:34<00:26, 2.02s/it] 60%|██████ | 18/30 [00:36<00:24, 2.02s/it] 63%|██████▎ | 19/30 [00:38<00:22, 2.01s/it] 67%|██████▋ | 20/30 [00:40<00:20, 2.00s/it] 70%|███████ | 21/30 [00:42<00:17, 2.00s/it] 73%|███████▎ | 22/30 [00:44<00:15, 1.99s/it] 77%|███████▋ | 23/30 [00:46<00:13, 1.99s/it] 80%|████████ | 24/30 [00:48<00:11, 1.98s/it] 83%|████████▎ | 25/30 [00:50<00:09, 1.98s/it] 87%|████████▋ | 26/30 [00:52<00:07, 1.97s/it] 90%|█████████ | 27/30 [00:54<00:05, 1.97s/it] 93%|█████████▎| 28/30 [00:56<00:03, 1.97s/it] 97%|█████████▋| 29/30 [00:57<00:01, 1.96s/it] 100%|██████████| 30/30 [00:58<00:00, 1.67s/it] 100%|██████████| 30/30 [00:58<00:00, 1.97s/it] Decoding latents in cuda:0... done in 1.74s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 163.4ms Speed: 3.0ms preprocess, 163.4ms inference, 28.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:10, 1.24it/s] 14%|█▍ | 2/14 [00:01<00:08, 1.37it/s] 21%|██▏ | 3/14 [00:02<00:07, 1.43it/s] 29%|██▊ | 4/14 [00:02<00:06, 1.44it/s] 36%|███▌ | 5/14 [00:03<00:06, 1.46it/s] 43%|████▎ | 6/14 [00:04<00:05, 1.46it/s] 50%|█████ | 7/14 [00:04<00:04, 1.45it/s] 57%|█████▋ | 8/14 [00:05<00:04, 1.47it/s] 64%|██████▍ | 9/14 [00:06<00:03, 1.49it/s] 71%|███████▏ | 10/14 [00:06<00:02, 1.50it/s] 79%|███████▊ | 11/14 [00:07<00:01, 1.51it/s] 86%|████████▌ | 12/14 [00:08<00:01, 1.50it/s] 93%|█████████▎| 13/14 [00:08<00:00, 1.47it/s] 100%|██████████| 14/14 [00:09<00:00, 1.72it/s] 100%|██████████| 14/14 [00:09<00:00, 1.52it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 9.0ms Speed: 2.4ms preprocess, 9.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:08, 1.45it/s] 14%|█▍ | 2/14 [00:01<00:08, 1.47it/s] 21%|██▏ | 3/14 [00:02<00:07, 1.48it/s] 29%|██▊ | 4/14 [00:02<00:06, 1.50it/s] 36%|███▌ | 5/14 [00:03<00:06, 1.48it/s] 43%|████▎ | 6/14 [00:04<00:05, 1.49it/s] 50%|█████ | 7/14 [00:04<00:04, 1.48it/s] 57%|█████▋ | 8/14 [00:05<00:04, 1.47it/s] 64%|██████▍ | 9/14 [00:06<00:03, 1.44it/s] 71%|███████▏ | 10/14 [00:06<00:02, 1.46it/s] 79%|███████▊ | 11/14 [00:07<00:02, 1.46it/s] 86%|████████▌ | 12/14 [00:08<00:01, 1.44it/s] 93%|█████████▎| 13/14 [00:08<00:00, 1.44it/s] 100%|██████████| 14/14 [00:09<00:00, 1.70it/s] 100%|██████████| 14/14 [00:09<00:00, 1.51it/s] Decoding latents in cuda:0... done in 0.59s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.5ms Speed: 2.4ms preprocess, 8.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:08, 1.48it/s] 14%|█▍ | 2/14 [00:01<00:08, 1.46it/s] 21%|██▏ | 3/14 [00:02<00:07, 1.48it/s] 29%|██▊ | 4/14 [00:02<00:06, 1.49it/s] 36%|███▌ | 5/14 [00:03<00:06, 1.49it/s] 43%|████▎ | 6/14 [00:04<00:05, 1.48it/s] 50%|█████ | 7/14 [00:04<00:04, 1.49it/s] 57%|█████▋ | 8/14 [00:05<00:04, 1.49it/s] 64%|██████▍ | 9/14 [00:06<00:03, 1.50it/s] 71%|███████▏ | 10/14 [00:06<00:02, 1.49it/s] 79%|███████▊ | 11/14 [00:07<00:02, 1.49it/s] 86%|████████▌ | 12/14 [00:08<00:01, 1.47it/s] 93%|█████████▎| 13/14 [00:08<00:00, 1.48it/s] 100%|██████████| 14/14 [00:09<00:00, 1.75it/s] 100%|██████████| 14/14 [00:09<00:00, 1.54it/s] Decoding latents in cuda:0... done in 0.59s 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/f087fda39ffc4271a984340a4c03e8aa/00000-1168690776.webp
https://files.tungsten.run/uploads/4275bdc214454d289102a4abaf076dfd/00001-1168690777.webp
https://files.tungsten.run/uploads/4e4eaf54e1b34d5a85016dd723e2d9d0/00002-1168690778.webp
This example was created by evevalentine2017
Finished in 100.7 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: cig anime oil painting, portrait of a Mongolian man wearing science fiction armor designed by Banu merchantman, outdoors fiaf Full negative prompt: desaturated, spaceship, boring, uplifting, cartoon, collage, montage, full body, 3d, CGI, video game, artificial lighting, bright, monotone, dull, medieval, knight, easynegative, 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:56, 1.96s/it] 7%|▋ | 2/30 [00:03<00:55, 1.98s/it] 10%|█ | 3/30 [00:05<00:53, 1.99s/it] 13%|█▎ | 4/30 [00:07<00:51, 1.99s/it] 17%|█▋ | 5/30 [00:09<00:49, 2.00s/it] 20%|██ | 6/30 [00:11<00:48, 2.00s/it] 23%|██▎ | 7/30 [00:13<00:46, 2.01s/it] 27%|██▋ | 8/30 [00:16<00:44, 2.02s/it] 30%|███ | 9/30 [00:18<00:42, 2.02s/it] 33%|███▎ | 10/30 [00:20<00:40, 2.03s/it] 37%|███▋ | 11/30 [00:22<00:38, 2.03s/it] 40%|████ | 12/30 [00:24<00:36, 2.03s/it] 43%|████▎ | 13/30 [00:26<00:34, 2.04s/it] 47%|████▋ | 14/30 [00:28<00:32, 2.03s/it] 50%|█████ | 15/30 [00:30<00:30, 2.03s/it] 53%|█████▎ | 16/30 [00:32<00:28, 2.03s/it] 57%|█████▋ | 17/30 [00:34<00:26, 2.02s/it] 60%|██████ | 18/30 [00:36<00:24, 2.02s/it] 63%|██████▎ | 19/30 [00:38<00:22, 2.01s/it] 67%|██████▋ | 20/30 [00:40<00:20, 2.00s/it] 70%|███████ | 21/30 [00:42<00:17, 2.00s/it] 73%|███████▎ | 22/30 [00:44<00:15, 1.99s/it] 77%|███████▋ | 23/30 [00:46<00:13, 1.99s/it] 80%|████████ | 24/30 [00:48<00:11, 1.98s/it] 83%|████████▎ | 25/30 [00:50<00:09, 1.98s/it] 87%|████████▋ | 26/30 [00:52<00:07, 1.97s/it] 90%|█████████ | 27/30 [00:54<00:05, 1.97s/it] 93%|█████████▎| 28/30 [00:56<00:03, 1.97s/it] 97%|█████████▋| 29/30 [00:57<00:01, 1.96s/it] 100%|██████████| 30/30 [00:58<00:00, 1.67s/it] 100%|██████████| 30/30 [00:58<00:00, 1.97s/it] Decoding latents in cuda:0... done in 1.74s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 163.4ms Speed: 3.0ms preprocess, 163.4ms inference, 28.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:10, 1.24it/s] 14%|█▍ | 2/14 [00:01<00:08, 1.37it/s] 21%|██▏ | 3/14 [00:02<00:07, 1.43it/s] 29%|██▊ | 4/14 [00:02<00:06, 1.44it/s] 36%|███▌ | 5/14 [00:03<00:06, 1.46it/s] 43%|████▎ | 6/14 [00:04<00:05, 1.46it/s] 50%|█████ | 7/14 [00:04<00:04, 1.45it/s] 57%|█████▋ | 8/14 [00:05<00:04, 1.47it/s] 64%|██████▍ | 9/14 [00:06<00:03, 1.49it/s] 71%|███████▏ | 10/14 [00:06<00:02, 1.50it/s] 79%|███████▊ | 11/14 [00:07<00:01, 1.51it/s] 86%|████████▌ | 12/14 [00:08<00:01, 1.50it/s] 93%|█████████▎| 13/14 [00:08<00:00, 1.47it/s] 100%|██████████| 14/14 [00:09<00:00, 1.72it/s] 100%|██████████| 14/14 [00:09<00:00, 1.52it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 9.0ms Speed: 2.4ms preprocess, 9.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:08, 1.45it/s] 14%|█▍ | 2/14 [00:01<00:08, 1.47it/s] 21%|██▏ | 3/14 [00:02<00:07, 1.48it/s] 29%|██▊ | 4/14 [00:02<00:06, 1.50it/s] 36%|███▌ | 5/14 [00:03<00:06, 1.48it/s] 43%|████▎ | 6/14 [00:04<00:05, 1.49it/s] 50%|█████ | 7/14 [00:04<00:04, 1.48it/s] 57%|█████▋ | 8/14 [00:05<00:04, 1.47it/s] 64%|██████▍ | 9/14 [00:06<00:03, 1.44it/s] 71%|███████▏ | 10/14 [00:06<00:02, 1.46it/s] 79%|███████▊ | 11/14 [00:07<00:02, 1.46it/s] 86%|████████▌ | 12/14 [00:08<00:01, 1.44it/s] 93%|█████████▎| 13/14 [00:08<00:00, 1.44it/s] 100%|██████████| 14/14 [00:09<00:00, 1.70it/s] 100%|██████████| 14/14 [00:09<00:00, 1.51it/s] Decoding latents in cuda:0... done in 0.59s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.5ms Speed: 2.4ms preprocess, 8.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:08, 1.48it/s] 14%|█▍ | 2/14 [00:01<00:08, 1.46it/s] 21%|██▏ | 3/14 [00:02<00:07, 1.48it/s] 29%|██▊ | 4/14 [00:02<00:06, 1.49it/s] 36%|███▌ | 5/14 [00:03<00:06, 1.49it/s] 43%|████▎ | 6/14 [00:04<00:05, 1.48it/s] 50%|█████ | 7/14 [00:04<00:04, 1.49it/s] 57%|█████▋ | 8/14 [00:05<00:04, 1.49it/s] 64%|██████▍ | 9/14 [00:06<00:03, 1.50it/s] 71%|███████▏ | 10/14 [00:06<00:02, 1.49it/s] 79%|███████▊ | 11/14 [00:07<00:02, 1.49it/s] 86%|████████▌ | 12/14 [00:08<00:01, 1.47it/s] 93%|█████████▎| 13/14 [00:08<00:00, 1.48it/s] 100%|██████████| 14/14 [00:09<00:00, 1.75it/s] 100%|██████████| 14/14 [00:09<00:00, 1.54it/s] Decoding latents in cuda:0... done in 0.59s Move latents to cpu... done in 0.0s Uploading outputs... Finished.