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Barbecue Time with Detail Real Turbo XL
detail-real-turbo-xl:lightning
evevalentine2017
evevalentine2017
·
Mar 14
364
Input
prompt
Specify things to see in the output
masterpiece, best quality, analogue photo of people having a barbecue time, Leica M3, Ektar 100, 50mm, (vignette photography), (professional photo, balanced photo, balanced exposure), <lora:SDXL Detail:1>, <lora:tweak-detail-xl:2>
negative_prompt
Specify things to not see in the output
(desaturated), (blurry faces), (blur), (worst quality, low quality, normal quality), disabled body, (ugly), sketches, (manicure:1.2), lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry
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
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.3
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.
1869873497
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
samping_steps
Number of denoising steps
5
cfg_scale
Scale for classifier-free guidance
1.5
clip_skip
The number of last layers of CLIP network to skip
1
vae
Select VAE
sdxl_vae.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
SDXL Detail.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
tweak-detail-xl.safetensors
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.
false
Output
https://files.tungsten.run/uploads/e0cd1cf1aed147babf2b8d54505485b3/00000-1869873497.webp
https://files.tungsten.run/uploads/87dec069e570426e8214db00e32e771a/00001-1869873498.webp
https://files.tungsten.run/uploads/25b85267659c45849cc30b9c54a839de/00002-1869873499.webp
Finished in 113.5 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: masterpiece, best quality, analogue photo of people having a barbecue time, Leica M3, Ektar 100, 50mm, (vignette photography), (professional photo, balanced photo, balanced exposure), <lora:SDXL Detail:1>, <lora:tweak-detail-xl:2> Full negative prompt: (desaturated), (blurry faces), (blur), (worst quality, low quality, normal quality), disabled body, (ugly), sketches, (manicure:1.2), lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:05<00:23, 5.81s/it] 40%|████ | 2/5 [00:11<00:17, 5.71s/it] 60%|██████ | 3/5 [00:17<00:11, 5.72s/it] 80%|████████ | 4/5 [00:21<00:05, 5.06s/it] 100%|██████████| 5/5 [00:22<00:00, 3.73s/it] 100%|██████████| 5/5 [00:22<00:00, 4.52s/it] Decoding latents in cuda:0... done in 2.46s Move latents to cpu... done in 0.03s 0: 640x640 9 faces, 8.0ms Speed: 5.7ms preprocess, 8.0ms inference, 38.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.46s/it] 100%|██████████| 2/2 [00:01<00:00, 1.19it/s] 100%|██████████| 2/2 [00:01<00:00, 1.07it/s] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.26s/it] 100%|██████████| 2/2 [00:01<00:00, 1.32it/s] 100%|██████████| 2/2 [00:01<00:00, 1.20it/s] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.48s/it] 100%|██████████| 2/2 [00:01<00:00, 1.16it/s] 100%|██████████| 2/2 [00:01<00:00, 1.05it/s] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.41s/it] 100%|██████████| 2/2 [00:01<00:00, 1.23it/s] 100%|██████████| 2/2 [00:01<00:00, 1.11it/s] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.33s/it] 100%|██████████| 2/2 [00:01<00:00, 1.27it/s] 100%|██████████| 2/2 [00:01<00:00, 1.15it/s] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.36s/it] 100%|██████████| 2/2 [00:01<00:00, 1.22it/s] 100%|██████████| 2/2 [00:01<00:00, 1.11it/s] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.49s/it] 100%|██████████| 2/2 [00:01<00:00, 1.16it/s] 100%|██████████| 2/2 [00:01<00:00, 1.04it/s] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.45s/it] 100%|██████████| 2/2 [00:01<00:00, 1.16it/s] 100%|██████████| 2/2 [00:01<00:00, 1.05it/s] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.35s/it] 100%|██████████| 2/2 [00:01<00:00, 1.27it/s] 100%|██████████| 2/2 [00:01<00:00, 1.15it/s] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0: 640x640 5 faces, 8.7ms Speed: 5.3ms preprocess, 8.7ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.28s/it] 100%|██████████| 2/2 [00:01<00:00, 1.32it/s] 100%|██████████| 2/2 [00:01<00:00, 1.19it/s] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.47s/it] 100%|██████████| 2/2 [00:01<00:00, 1.16it/s] 100%|██████████| 2/2 [00:01<00:00, 1.05it/s] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.48s/it] 100%|██████████| 2/2 [00:01<00:00, 1.13it/s] 100%|██████████| 2/2 [00:01<00:00, 1.02it/s] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.55s/it] 100%|██████████| 2/2 [00:02<00:00, 1.09it/s] 100%|██████████| 2/2 [00:02<00:00, 1.01s/it] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:02<00:02, 2.42s/it] 100%|██████████| 2/2 [00:03<00:00, 1.37s/it] 100%|██████████| 2/2 [00:03<00:00, 1.53s/it] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0: 640x640 7 faces, 10.4ms Speed: 4.2ms preprocess, 10.4ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.48s/it] 100%|██████████| 2/2 [00:01<00:00, 1.15it/s] 100%|██████████| 2/2 [00:01<00:00, 1.04it/s] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.50s/it] 100%|██████████| 2/2 [00:01<00:00, 1.14it/s] 100%|██████████| 2/2 [00:01<00:00, 1.03it/s] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.50s/it] 100%|██████████| 2/2 [00:01<00:00, 1.15it/s] 100%|██████████| 2/2 [00:01<00:00, 1.03it/s] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.48s/it] 100%|██████████| 2/2 [00:01<00:00, 1.16it/s] 100%|██████████| 2/2 [00:01<00:00, 1.05it/s] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.41s/it] 100%|██████████| 2/2 [00:01<00:00, 1.23it/s] 100%|██████████| 2/2 [00:01<00:00, 1.11it/s] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.29s/it] 100%|██████████| 2/2 [00:01<00:00, 1.31it/s] 100%|██████████| 2/2 [00:01<00:00, 1.19it/s] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.28s/it] 100%|██████████| 2/2 [00:01<00:00, 1.31it/s] 100%|██████████| 2/2 [00:01<00:00, 1.19it/s] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
masterpiece, best quality, analogue photo of people having a barbecue time, Leica M3, Ektar 100, 50mm, (vignette photography), (professional photo, balanced photo, balanced exposure), <lora:SDXL Detail:1>, <lora:tweak-detail-xl:2>
negative_prompt
Specify things to not see in the output
(desaturated), (blurry faces), (blur), (worst quality, low quality, normal quality), disabled body, (ugly), sketches, (manicure:1.2), lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry
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
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.3
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.
1869873497
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
samping_steps
Number of denoising steps
5
cfg_scale
Scale for classifier-free guidance
1.5
clip_skip
The number of last layers of CLIP network to skip
1
vae
Select VAE
sdxl_vae.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
SDXL Detail.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
tweak-detail-xl.safetensors
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.
false
https://files.tungsten.run/uploads/e0cd1cf1aed147babf2b8d54505485b3/00000-1869873497.webp
https://files.tungsten.run/uploads/87dec069e570426e8214db00e32e771a/00001-1869873498.webp
https://files.tungsten.run/uploads/25b85267659c45849cc30b9c54a839de/00002-1869873499.webp
Finished in 113.5 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: masterpiece, best quality, analogue photo of people having a barbecue time, Leica M3, Ektar 100, 50mm, (vignette photography), (professional photo, balanced photo, balanced exposure), <lora:SDXL Detail:1>, <lora:tweak-detail-xl:2> Full negative prompt: (desaturated), (blurry faces), (blur), (worst quality, low quality, normal quality), disabled body, (ugly), sketches, (manicure:1.2), lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:05<00:23, 5.81s/it] 40%|████ | 2/5 [00:11<00:17, 5.71s/it] 60%|██████ | 3/5 [00:17<00:11, 5.72s/it] 80%|████████ | 4/5 [00:21<00:05, 5.06s/it] 100%|██████████| 5/5 [00:22<00:00, 3.73s/it] 100%|██████████| 5/5 [00:22<00:00, 4.52s/it] Decoding latents in cuda:0... done in 2.46s Move latents to cpu... done in 0.03s 0: 640x640 9 faces, 8.0ms Speed: 5.7ms preprocess, 8.0ms inference, 38.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.46s/it] 100%|██████████| 2/2 [00:01<00:00, 1.19it/s] 100%|██████████| 2/2 [00:01<00:00, 1.07it/s] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.26s/it] 100%|██████████| 2/2 [00:01<00:00, 1.32it/s] 100%|██████████| 2/2 [00:01<00:00, 1.20it/s] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.48s/it] 100%|██████████| 2/2 [00:01<00:00, 1.16it/s] 100%|██████████| 2/2 [00:01<00:00, 1.05it/s] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.41s/it] 100%|██████████| 2/2 [00:01<00:00, 1.23it/s] 100%|██████████| 2/2 [00:01<00:00, 1.11it/s] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.33s/it] 100%|██████████| 2/2 [00:01<00:00, 1.27it/s] 100%|██████████| 2/2 [00:01<00:00, 1.15it/s] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.36s/it] 100%|██████████| 2/2 [00:01<00:00, 1.22it/s] 100%|██████████| 2/2 [00:01<00:00, 1.11it/s] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.49s/it] 100%|██████████| 2/2 [00:01<00:00, 1.16it/s] 100%|██████████| 2/2 [00:01<00:00, 1.04it/s] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.45s/it] 100%|██████████| 2/2 [00:01<00:00, 1.16it/s] 100%|██████████| 2/2 [00:01<00:00, 1.05it/s] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.35s/it] 100%|██████████| 2/2 [00:01<00:00, 1.27it/s] 100%|██████████| 2/2 [00:01<00:00, 1.15it/s] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0: 640x640 5 faces, 8.7ms Speed: 5.3ms preprocess, 8.7ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.28s/it] 100%|██████████| 2/2 [00:01<00:00, 1.32it/s] 100%|██████████| 2/2 [00:01<00:00, 1.19it/s] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.47s/it] 100%|██████████| 2/2 [00:01<00:00, 1.16it/s] 100%|██████████| 2/2 [00:01<00:00, 1.05it/s] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.48s/it] 100%|██████████| 2/2 [00:01<00:00, 1.13it/s] 100%|██████████| 2/2 [00:01<00:00, 1.02it/s] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.55s/it] 100%|██████████| 2/2 [00:02<00:00, 1.09it/s] 100%|██████████| 2/2 [00:02<00:00, 1.01s/it] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:02<00:02, 2.42s/it] 100%|██████████| 2/2 [00:03<00:00, 1.37s/it] 100%|██████████| 2/2 [00:03<00:00, 1.53s/it] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0: 640x640 7 faces, 10.4ms Speed: 4.2ms preprocess, 10.4ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.48s/it] 100%|██████████| 2/2 [00:01<00:00, 1.15it/s] 100%|██████████| 2/2 [00:01<00:00, 1.04it/s] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.50s/it] 100%|██████████| 2/2 [00:01<00:00, 1.14it/s] 100%|██████████| 2/2 [00:01<00:00, 1.03it/s] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.50s/it] 100%|██████████| 2/2 [00:01<00:00, 1.15it/s] 100%|██████████| 2/2 [00:01<00:00, 1.03it/s] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.48s/it] 100%|██████████| 2/2 [00:01<00:00, 1.16it/s] 100%|██████████| 2/2 [00:01<00:00, 1.05it/s] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.41s/it] 100%|██████████| 2/2 [00:01<00:00, 1.23it/s] 100%|██████████| 2/2 [00:01<00:00, 1.11it/s] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.29s/it] 100%|██████████| 2/2 [00:01<00:00, 1.31it/s] 100%|██████████| 2/2 [00:01<00:00, 1.19it/s] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.28s/it] 100%|██████████| 2/2 [00:01<00:00, 1.31it/s] 100%|██████████| 2/2 [00:01<00:00, 1.19it/s] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s Uploading outputs... Finished.