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Men Riding Lions with Tertium SDXL Turbo
tertium-sdxl-turbo:v1.0
evevalentine2017
evevalentine2017
·
Jan 29
357
Input
prompt
Specify things to see in the output
masterpiece, photorealistic, wide angle view, 1 man, (riding on a lion's back:1.7), animals, male, (feral lion:1.1), in a large jungle canyon at sunset, cinematic lighting, intricate details, digital painting, highest quality
negative_prompt
Specify things to not see in the output
cropped, easynegative
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
1024
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
true
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.
2176968102
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++ SDE Karras
samping_steps
Number of denoising steps
5
cfg_scale
Scale for classifier-free guidance
2.2
clip_skip
The number of last layers of CLIP network to skip
2
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/9131e1607bac412fa1d05db95076d1a4/00000-2176968102.webp
https://files.tungsten.run/uploads/931d34df120641f5abb8da8c13ea3f85/00001-2176968103.webp
https://files.tungsten.run/uploads/535addcd8b1b4c8aa8f81cbea2ab8bc5/00002-2176968104.webp
Finished in 82.4 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: masterpiece, photorealistic, wide angle view, 1 man, (riding on a lion's back:1.7), animals, male, (feral lion:1.1), in a large jungle canyon at sunset, cinematic lighting, intricate details, digital painting, highest quality Full negative prompt: cropped, easynegative 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:04<00:16, 4.14s/it] 40%|████ | 2/5 [00:09<00:15, 5.06s/it] 60%|██████ | 3/5 [00:15<00:10, 5.26s/it] 80%|████████ | 4/5 [00:19<00:04, 4.67s/it] 100%|██████████| 5/5 [00:20<00:00, 3.44s/it] 100%|██████████| 5/5 [00:20<00:00, 4.07s/it] Decoding latents in cuda:0... done in 2.32s Move latents to cpu... done in 0.03s 0: 640x640 1 face, 7.7ms Speed: 3.3ms preprocess, 7.7ms inference, 24.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.86s/it] 67%|██████▋ | 2/3 [00:03<00:01, 1.47s/it] 100%|██████████| 3/3 [00:03<00:00, 1.03it/s] 100%|██████████| 3/3 [00:03<00:00, 1.15s/it] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 20.2ms Speed: 3.1ms preprocess, 20.2ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.81s/it] 67%|██████▋ | 2/3 [00:03<00:01, 1.45s/it] 100%|██████████| 3/3 [00:03<00:00, 1.04it/s] 100%|██████████| 3/3 [00:03<00:00, 1.13s/it] Decoding latents in cuda:0... done in 0.78s Move latents to cpu... done in 0.0s 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.76s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.42s/it] 100%|██████████| 3/3 [00:03<00:00, 1.06it/s] 100%|██████████| 3/3 [00:03<00:00, 1.11s/it] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0: 640x640 2 faces, 8.3ms Speed: 3.2ms preprocess, 8.3ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.79s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.43s/it] 100%|██████████| 3/3 [00:03<00:00, 1.05it/s] 100%|██████████| 3/3 [00:03<00:00, 1.12s/it] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.80s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.44s/it] 100%|██████████| 3/3 [00:03<00:00, 1.05it/s] 100%|██████████| 3/3 [00:03<00:00, 1.12s/it] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.2ms Speed: 3.0ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.75s/it] 67%|██████▋ | 2/3 [00:03<00:01, 1.48s/it] 100%|██████████| 3/3 [00:03<00:00, 1.02it/s] 100%|██████████| 3/3 [00:03<00:00, 1.14s/it] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.8ms Speed: 3.3ms preprocess, 7.8ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.87s/it] 67%|██████▋ | 2/3 [00:03<00:01, 1.49s/it] 100%|██████████| 3/3 [00:03<00:00, 1.01it/s] 100%|██████████| 3/3 [00:03<00:00, 1.16s/it] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0: 640x640 3 hands, 8.7ms Speed: 3.1ms preprocess, 8.7ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.85s/it] 67%|██████▋ | 2/3 [00:03<00:01, 1.47s/it] 100%|██████████| 3/3 [00:03<00:00, 1.02it/s] 100%|██████████| 3/3 [00:03<00:00, 1.15s/it] Decoding latents in cuda:0... done in 0.78s Move latents to cpu... done in 0.0s 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.83s/it] 67%|██████▋ | 2/3 [00:03<00:01, 1.46s/it] 100%|██████████| 3/3 [00:03<00:00, 1.03it/s] 100%|██████████| 3/3 [00:03<00:00, 1.14s/it] Decoding latents in cuda:0... done in 0.78s Move latents to cpu... done in 0.0s 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.81s/it] 67%|██████▋ | 2/3 [00:03<00:01, 1.47s/it] 100%|██████████| 3/3 [00:03<00:00, 1.03it/s] 100%|██████████| 3/3 [00:03<00:00, 1.14s/it] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
masterpiece, photorealistic, wide angle view, 1 man, (riding on a lion's back:1.7), animals, male, (feral lion:1.1), in a large jungle canyon at sunset, cinematic lighting, intricate details, digital painting, highest quality
negative_prompt
Specify things to not see in the output
cropped, easynegative
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
1024
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
true
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.
2176968102
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++ SDE Karras
samping_steps
Number of denoising steps
5
cfg_scale
Scale for classifier-free guidance
2.2
clip_skip
The number of last layers of CLIP network to skip
2
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/9131e1607bac412fa1d05db95076d1a4/00000-2176968102.webp
https://files.tungsten.run/uploads/931d34df120641f5abb8da8c13ea3f85/00001-2176968103.webp
https://files.tungsten.run/uploads/535addcd8b1b4c8aa8f81cbea2ab8bc5/00002-2176968104.webp
Finished in 82.4 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: masterpiece, photorealistic, wide angle view, 1 man, (riding on a lion's back:1.7), animals, male, (feral lion:1.1), in a large jungle canyon at sunset, cinematic lighting, intricate details, digital painting, highest quality Full negative prompt: cropped, easynegative 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:04<00:16, 4.14s/it] 40%|████ | 2/5 [00:09<00:15, 5.06s/it] 60%|██████ | 3/5 [00:15<00:10, 5.26s/it] 80%|████████ | 4/5 [00:19<00:04, 4.67s/it] 100%|██████████| 5/5 [00:20<00:00, 3.44s/it] 100%|██████████| 5/5 [00:20<00:00, 4.07s/it] Decoding latents in cuda:0... done in 2.32s Move latents to cpu... done in 0.03s 0: 640x640 1 face, 7.7ms Speed: 3.3ms preprocess, 7.7ms inference, 24.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.86s/it] 67%|██████▋ | 2/3 [00:03<00:01, 1.47s/it] 100%|██████████| 3/3 [00:03<00:00, 1.03it/s] 100%|██████████| 3/3 [00:03<00:00, 1.15s/it] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 20.2ms Speed: 3.1ms preprocess, 20.2ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.81s/it] 67%|██████▋ | 2/3 [00:03<00:01, 1.45s/it] 100%|██████████| 3/3 [00:03<00:00, 1.04it/s] 100%|██████████| 3/3 [00:03<00:00, 1.13s/it] Decoding latents in cuda:0... done in 0.78s Move latents to cpu... done in 0.0s 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.76s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.42s/it] 100%|██████████| 3/3 [00:03<00:00, 1.06it/s] 100%|██████████| 3/3 [00:03<00:00, 1.11s/it] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0: 640x640 2 faces, 8.3ms Speed: 3.2ms preprocess, 8.3ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.79s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.43s/it] 100%|██████████| 3/3 [00:03<00:00, 1.05it/s] 100%|██████████| 3/3 [00:03<00:00, 1.12s/it] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.80s/it] 67%|██████▋ | 2/3 [00:02<00:01, 1.44s/it] 100%|██████████| 3/3 [00:03<00:00, 1.05it/s] 100%|██████████| 3/3 [00:03<00:00, 1.12s/it] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.2ms Speed: 3.0ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.75s/it] 67%|██████▋ | 2/3 [00:03<00:01, 1.48s/it] 100%|██████████| 3/3 [00:03<00:00, 1.02it/s] 100%|██████████| 3/3 [00:03<00:00, 1.14s/it] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.8ms Speed: 3.3ms preprocess, 7.8ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.87s/it] 67%|██████▋ | 2/3 [00:03<00:01, 1.49s/it] 100%|██████████| 3/3 [00:03<00:00, 1.01it/s] 100%|██████████| 3/3 [00:03<00:00, 1.16s/it] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0: 640x640 3 hands, 8.7ms Speed: 3.1ms preprocess, 8.7ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.85s/it] 67%|██████▋ | 2/3 [00:03<00:01, 1.47s/it] 100%|██████████| 3/3 [00:03<00:00, 1.02it/s] 100%|██████████| 3/3 [00:03<00:00, 1.15s/it] Decoding latents in cuda:0... done in 0.78s Move latents to cpu... done in 0.0s 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.83s/it] 67%|██████▋ | 2/3 [00:03<00:01, 1.46s/it] 100%|██████████| 3/3 [00:03<00:00, 1.03it/s] 100%|██████████| 3/3 [00:03<00:00, 1.14s/it] Decoding latents in cuda:0... done in 0.78s Move latents to cpu... done in 0.0s 0%| | 0/3 [00:00<?, ?it/s] 33%|███▎ | 1/3 [00:01<00:03, 1.81s/it] 67%|██████▋ | 2/3 [00:03<00:01, 1.47s/it] 100%|██████████| 3/3 [00:03<00:00, 1.03it/s] 100%|██████████| 3/3 [00:03<00:00, 1.14s/it] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s Uploading outputs... Finished.