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ai-real-turbo-xl
ai-real-turbo-xl

ai-real-turbo-xl

12 stars
Version: lightning
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/7a771bd8aae44afda251c23577c3841e/00000-318814098.webp
https://files.tungsten.run/uploads/72031e514a0541fba5cc5c0ebc450058/00001-318814099.webp
https://files.tungsten.run/uploads/3441523f61d0431680fe52e3d538a625/00002-318814100.webp
This example was created by evevalentine2017
Finished in 85.2 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: A majestic Great Pyrenees dog is captured sitting amidst a bed of brightly colored flowers, showcased in a close-up shot. The image is meticulously crafted in a hyperrealistic art cinematic film still style, reminiscent of a detailed hyperrealism photoshoot. Captured using a Nikon 350D, the RAW photograph preserves every intricate detail. Shot with a Sony FE 85mm f/1.4 GM lens, the image achieves a level of realism that is indistinguishable from reality, scoring 1.4 on the scale of realism. Film grain adds texture to the composition, enhancing the Ultra-HD-details captured in the dog's fur and the delicate petals of the flowers. The result is an exquisite portrayal of the Great Pyrenees dog, presented with Ultra-HD-details that immerse the viewer in the scene. Full negative prompt: assymetric face, topless, nipples, nsfw, anime, cartoon, graphic, text, painting, crayon, graphite, abstract, glitch, deformed, mutated, ugly, disfigured, cropped,imperfect hand,deformed hand,bad hand, text, watermark, low-quality, signature, moiré pattern, downsampling, aliasing, distorted, blurry, glossy, blur, jpeg artifacts, compression artifacts, poorly drawn, low-resolution, bad, distortion, twisted, excessive, exaggerated pose, exaggerated limbs, grainy, symmetrical, duplicate, error, pattern, beginner, pixelated, fake, hyper, glitch, overexposed, high-contrast, bad-contrast 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:04<00:31, 4.51s/it] 25%|██▌ | 2/8 [00:10<00:32, 5.39s/it] 38%|███▊ | 3/8 [00:16<00:28, 5.61s/it] 50%|█████ | 4/8 [00:22<00:23, 5.87s/it] 62%|██████▎ | 5/8 [00:28<00:17, 5.87s/it] 75%|███████▌ | 6/8 [00:34<00:11, 5.74s/it] 88%|████████▊ | 7/8 [00:37<00:05, 5.13s/it] 100%|██████████| 8/8 [00:39<00:00, 3.90s/it] 100%|██████████| 8/8 [00:39<00:00, 4.89s/it] Decoding latents in cuda:0... done in 2.39s Move latents to cpu... done in 0.03s 0: 640x640 1 face, 39.3ms Speed: 5.9ms preprocess, 39.3ms inference, 25.0ms postprocess per image at shape (1, 3, 640, 640)
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/7a771bd8aae44afda251c23577c3841e/00000-318814098.webp
https://files.tungsten.run/uploads/72031e514a0541fba5cc5c0ebc450058/00001-318814099.webp
https://files.tungsten.run/uploads/3441523f61d0431680fe52e3d538a625/00002-318814100.webp
This example was created by evevalentine2017
Finished in 85.2 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: A majestic Great Pyrenees dog is captured sitting amidst a bed of brightly colored flowers, showcased in a close-up shot. The image is meticulously crafted in a hyperrealistic art cinematic film still style, reminiscent of a detailed hyperrealism photoshoot. Captured using a Nikon 350D, the RAW photograph preserves every intricate detail. Shot with a Sony FE 85mm f/1.4 GM lens, the image achieves a level of realism that is indistinguishable from reality, scoring 1.4 on the scale of realism. Film grain adds texture to the composition, enhancing the Ultra-HD-details captured in the dog's fur and the delicate petals of the flowers. The result is an exquisite portrayal of the Great Pyrenees dog, presented with Ultra-HD-details that immerse the viewer in the scene. Full negative prompt: assymetric face, topless, nipples, nsfw, anime, cartoon, graphic, text, painting, crayon, graphite, abstract, glitch, deformed, mutated, ugly, disfigured, cropped,imperfect hand,deformed hand,bad hand, text, watermark, low-quality, signature, moiré pattern, downsampling, aliasing, distorted, blurry, glossy, blur, jpeg artifacts, compression artifacts, poorly drawn, low-resolution, bad, distortion, twisted, excessive, exaggerated pose, exaggerated limbs, grainy, symmetrical, duplicate, error, pattern, beginner, pixelated, fake, hyper, glitch, overexposed, high-contrast, bad-contrast 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:04<00:31, 4.51s/it] 25%|██▌ | 2/8 [00:10<00:32, 5.39s/it] 38%|███▊ | 3/8 [00:16<00:28, 5.61s/it] 50%|█████ | 4/8 [00:22<00:23, 5.87s/it] 62%|██████▎ | 5/8 [00:28<00:17, 5.87s/it] 75%|███████▌ | 6/8 [00:34<00:11, 5.74s/it] 88%|████████▊ | 7/8 [00:37<00:05, 5.13s/it] 100%|██████████| 8/8 [00:39<00:00, 3.90s/it] 100%|██████████| 8/8 [00:39<00:00, 4.89s/it] Decoding latents in cuda:0... done in 2.39s Move latents to cpu... done in 0.03s 0: 640x640 1 face, 39.3ms Speed: 5.9ms preprocess, 39.3ms inference, 25.0ms postprocess per image at shape (1, 3, 640, 640)