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fastpass-turbo-xl
fastpass-turbo-xl

fastpass-turbo-xl

5 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.
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Output
https://files.tungsten.run/uploads/2d440d3da70c44b8ab50590d2271ccb2/00000-239976120.webp
https://files.tungsten.run/uploads/0c83576421af4a36a8bcf0cffb36fdcf/00001-239976121.webp
https://files.tungsten.run/uploads/3d4a585fc018459ebacb105cf10384be/00002-239976122.webp
This example was created by evevalentine2017
Finished in 17.8 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Masterpiece, best quality, professional photo, a photo of a secret underwater world teeming with colorful coral reefs, iridescent fish, and hidden treasure chests, abandoned wooden chest, 4k, ultra HD artwork, unreal engine 5 creation, rendered in stunning 8k ultra HD resolution, hyperrealism Full negative prompt: blur, blurry, worst quality, low quality, jpeg artifacts, poorly drawn, bad art, weird eyes, extra limb, missing limb, floating limbs, deformed, bad eyes, crossed eyes, disfigured, mutation, ugly, face distortion 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:01<00:05, 1.38s/it] 40%|████ | 2/5 [00:02<00:04, 1.38s/it] 60%|██████ | 3/5 [00:04<00:02, 1.37s/it] 80%|████████ | 4/5 [00:05<00:01, 1.38s/it] 100%|██████████| 5/5 [00:06<00:00, 1.38s/it] 100%|██████████| 5/5 [00:06<00:00, 1.38s/it] Decoding latents in cuda:0... done in 2.44s Move latents to cpu... done in 0.03s 0: 640x640 (no detections), 8.0ms Speed: 3.3ms preprocess, 8.0ms inference, 5.1ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x640 (no detections), 7.8ms Speed: 3.0ms preprocess, 7.8ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x640 (no detections), 7.5ms Speed: 3.1ms preprocess, 7.5ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] 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/2d440d3da70c44b8ab50590d2271ccb2/00000-239976120.webp
https://files.tungsten.run/uploads/0c83576421af4a36a8bcf0cffb36fdcf/00001-239976121.webp
https://files.tungsten.run/uploads/3d4a585fc018459ebacb105cf10384be/00002-239976122.webp
This example was created by evevalentine2017
Finished in 17.8 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Masterpiece, best quality, professional photo, a photo of a secret underwater world teeming with colorful coral reefs, iridescent fish, and hidden treasure chests, abandoned wooden chest, 4k, ultra HD artwork, unreal engine 5 creation, rendered in stunning 8k ultra HD resolution, hyperrealism Full negative prompt: blur, blurry, worst quality, low quality, jpeg artifacts, poorly drawn, bad art, weird eyes, extra limb, missing limb, floating limbs, deformed, bad eyes, crossed eyes, disfigured, mutation, ugly, face distortion 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:01<00:05, 1.38s/it] 40%|████ | 2/5 [00:02<00:04, 1.38s/it] 60%|██████ | 3/5 [00:04<00:02, 1.37s/it] 80%|████████ | 4/5 [00:05<00:01, 1.38s/it] 100%|██████████| 5/5 [00:06<00:00, 1.38s/it] 100%|██████████| 5/5 [00:06<00:00, 1.38s/it] Decoding latents in cuda:0... done in 2.44s Move latents to cpu... done in 0.03s 0: 640x640 (no detections), 8.0ms Speed: 3.3ms preprocess, 8.0ms inference, 5.1ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x640 (no detections), 7.8ms Speed: 3.0ms preprocess, 7.8ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x640 (no detections), 7.5ms Speed: 3.1ms preprocess, 7.5ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. Uploading outputs... Finished.