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/36a2b80c81a64218a51ee1c6a91e12b8/00000-3839032185.webp
https://files.tungsten.run/uploads/5b4ea8b5a3f948d480a9f203ce241e4d/00001-3839032186.webp
https://files.tungsten.run/uploads/a740dc4d673f472aba04bb7eac312256/00002-3839032187.webp
This example was created by evevalentine2017
Finished in 65.9 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: (from afar, best special VFX, cinematic movie style), the (nowheels) hovering (((1966-model Chevrolet Corvette Convertible))) speeds up faster than light (it hovers) on the road to crossover the time-rift at night, California suburbs, year 1966, retro-futuristic sci-fi cyberpunk film style, the most beautiful brand-new intricate futuristic healthy flawless(nowheels) time-travelling (((Chevrolet Corvette Convertible))) machine-car in the world moving so fast the road and the night and the citiescape blurs intensely, (truck-car focus) with glowing interior with neon tubes and it moves so fast the trees at the sides of road beautifully bend in a blurry movement, light particles zapping like lasers and lightning bolts, vibrant colors, wide-angle, excentric exceptional engineering geometry advanced-physicas masterpiece, realistic intricate CG photographic illustration highres highquality topnotch wallpaper unit, 4k 8k 16k 32k 64k - and 9k too if you wish, ((only the road or asphalt) is synthwave style), (ActionVFX), Full negative prompt: low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, watermark, signature, text font, username, logo, words, letters, digits, autograph, trademark, name, mutated malformed, mutilated, nsfw, nipples 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:52, 1.80s/it] 7%|▋ | 2/30 [00:03<00:51, 1.82s/it] 10%|█ | 3/30 [00:05<00:49, 1.83s/it] 13%|█▎ | 4/30 [00:07<00:47, 1.83s/it] 17%|█▋ | 5/30 [00:09<00:45, 1.84s/it] 20%|██ | 6/30 [00:11<00:44, 1.84s/it] 23%|██▎ | 7/30 [00:12<00:42, 1.85s/it] 27%|██▋ | 8/30 [00:14<00:40, 1.85s/it] 30%|███ | 9/30 [00:16<00:38, 1.86s/it] 33%|███▎ | 10/30 [00:18<00:37, 1.86s/it] 37%|███▋ | 11/30 [00:20<00:35, 1.86s/it] 40%|████ | 12/30 [00:22<00:33, 1.86s/it] 43%|████▎ | 13/30 [00:24<00:31, 1.86s/it] 47%|████▋ | 14/30 [00:25<00:29, 1.86s/it] 50%|█████ | 15/30 [00:27<00:27, 1.86s/it] 53%|█████▎ | 16/30 [00:29<00:26, 1.86s/it] 57%|█████▋ | 17/30 [00:31<00:24, 1.90s/it] 60%|██████ | 18/30 [00:33<00:22, 1.89s/it] 63%|██████▎ | 19/30 [00:35<00:20, 1.88s/it] 67%|██████▋ | 20/30 [00:37<00:18, 1.87s/it] 70%|███████ | 21/30 [00:39<00:16, 1.87s/it] 73%|███████▎ | 22/30 [00:40<00:14, 1.86s/it] 77%|███████▋ | 23/30 [00:42<00:13, 1.86s/it] 80%|████████ | 24/30 [00:44<00:11, 1.86s/it] 83%|████████▎ | 25/30 [00:46<00:09, 1.85s/it] 87%|████████▋ | 26/30 [00:48<00:07, 1.85s/it] 90%|█████████ | 27/30 [00:50<00:05, 1.85s/it] 93%|█████████▎| 28/30 [00:52<00:03, 1.85s/it] 97%|█████████▋| 29/30 [00:53<00:01, 1.85s/it] 100%|██████████| 30/30 [00:54<00:00, 1.57s/it] 100%|██████████| 30/30 [00:54<00:00, 1.83s/it] Decoding latents in cuda:0... done in 1.77s Move latents to cpu... done in 0.02s 0: 640x480 (no detections), 160.6ms Speed: 2.7ms preprocess, 160.6ms inference, 9.9ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x480 (no detections), 8.8ms Speed: 2.7ms preprocess, 8.8ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x480 (no detections), 9.8ms Speed: 2.5ms preprocess, 9.8ms inference, 0.9ms 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
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/36a2b80c81a64218a51ee1c6a91e12b8/00000-3839032185.webp
https://files.tungsten.run/uploads/5b4ea8b5a3f948d480a9f203ce241e4d/00001-3839032186.webp
https://files.tungsten.run/uploads/a740dc4d673f472aba04bb7eac312256/00002-3839032187.webp
This example was created by evevalentine2017
Finished in 65.9 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: (from afar, best special VFX, cinematic movie style), the (nowheels) hovering (((1966-model Chevrolet Corvette Convertible))) speeds up faster than light (it hovers) on the road to crossover the time-rift at night, California suburbs, year 1966, retro-futuristic sci-fi cyberpunk film style, the most beautiful brand-new intricate futuristic healthy flawless(nowheels) time-travelling (((Chevrolet Corvette Convertible))) machine-car in the world moving so fast the road and the night and the citiescape blurs intensely, (truck-car focus) with glowing interior with neon tubes and it moves so fast the trees at the sides of road beautifully bend in a blurry movement, light particles zapping like lasers and lightning bolts, vibrant colors, wide-angle, excentric exceptional engineering geometry advanced-physicas masterpiece, realistic intricate CG photographic illustration highres highquality topnotch wallpaper unit, 4k 8k 16k 32k 64k - and 9k too if you wish, ((only the road or asphalt) is synthwave style), (ActionVFX), Full negative prompt: low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, watermark, signature, text font, username, logo, words, letters, digits, autograph, trademark, name, mutated malformed, mutilated, nsfw, nipples 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:52, 1.80s/it] 7%|▋ | 2/30 [00:03<00:51, 1.82s/it] 10%|█ | 3/30 [00:05<00:49, 1.83s/it] 13%|█▎ | 4/30 [00:07<00:47, 1.83s/it] 17%|█▋ | 5/30 [00:09<00:45, 1.84s/it] 20%|██ | 6/30 [00:11<00:44, 1.84s/it] 23%|██▎ | 7/30 [00:12<00:42, 1.85s/it] 27%|██▋ | 8/30 [00:14<00:40, 1.85s/it] 30%|███ | 9/30 [00:16<00:38, 1.86s/it] 33%|███▎ | 10/30 [00:18<00:37, 1.86s/it] 37%|███▋ | 11/30 [00:20<00:35, 1.86s/it] 40%|████ | 12/30 [00:22<00:33, 1.86s/it] 43%|████▎ | 13/30 [00:24<00:31, 1.86s/it] 47%|████▋ | 14/30 [00:25<00:29, 1.86s/it] 50%|█████ | 15/30 [00:27<00:27, 1.86s/it] 53%|█████▎ | 16/30 [00:29<00:26, 1.86s/it] 57%|█████▋ | 17/30 [00:31<00:24, 1.90s/it] 60%|██████ | 18/30 [00:33<00:22, 1.89s/it] 63%|██████▎ | 19/30 [00:35<00:20, 1.88s/it] 67%|██████▋ | 20/30 [00:37<00:18, 1.87s/it] 70%|███████ | 21/30 [00:39<00:16, 1.87s/it] 73%|███████▎ | 22/30 [00:40<00:14, 1.86s/it] 77%|███████▋ | 23/30 [00:42<00:13, 1.86s/it] 80%|████████ | 24/30 [00:44<00:11, 1.86s/it] 83%|████████▎ | 25/30 [00:46<00:09, 1.85s/it] 87%|████████▋ | 26/30 [00:48<00:07, 1.85s/it] 90%|█████████ | 27/30 [00:50<00:05, 1.85s/it] 93%|█████████▎| 28/30 [00:52<00:03, 1.85s/it] 97%|█████████▋| 29/30 [00:53<00:01, 1.85s/it] 100%|██████████| 30/30 [00:54<00:00, 1.57s/it] 100%|██████████| 30/30 [00:54<00:00, 1.83s/it] Decoding latents in cuda:0... done in 1.77s Move latents to cpu... done in 0.02s 0: 640x480 (no detections), 160.6ms Speed: 2.7ms preprocess, 160.6ms inference, 9.9ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x480 (no detections), 8.8ms Speed: 2.7ms preprocess, 8.8ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x480 (no detections), 9.8ms Speed: 2.5ms preprocess, 9.8ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 3 with 1st settings. Uploading outputs... Finished.