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Riding Dragons with Acorn Is Spinning XL
acorn-is-spinning-xl:v2.0
evevalentine2017
evevalentine2017
·
Feb 13
342
Input
prompt
Specify things to see in the output
(Elmore_Style fantasy oil painting:1.2) of a (barbarian, leather and fur armor), riding a (blue dragon:1.2), moonlit, night, cinematic, extremely detailed, intense lighting, epic, (brush strokes:1.2), (winter night:1.1)
negative_prompt
Specify things to not see in the output
photo, drawing, cartoon, illustration
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
768
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
0.45
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.
232894851
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++ 2M Karras
samping_steps
Number of denoising steps
40
cfg_scale
Scale for classifier-free guidance
7
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)
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/514988c0ee2245598b63e92d704ba0bb/00000-232894851.webp
https://files.tungsten.run/uploads/1fcdba1308fa4a36bf8d02f8ee8ee89e/00001-232894852.webp
https://files.tungsten.run/uploads/daf42a2985004c15ba6b32b5feaf429b/00002-232894853.webp
Finished in 70.4 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: (Elmore_Style fantasy oil painting:1.2) of a (barbarian, leather and fur armor), riding a (blue dragon:1.2), moonlit, night, cinematic, extremely detailed, intense lighting, epic, (brush strokes:1.2), (winter night:1.1) Full negative prompt: photo, drawing, cartoon, illustration 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:35, 1.09it/s] 5%|▌ | 2/40 [00:01<00:34, 1.09it/s] 8%|▊ | 3/40 [00:02<00:33, 1.09it/s] 10%|█ | 4/40 [00:03<00:33, 1.09it/s] 12%|█▎ | 5/40 [00:04<00:32, 1.09it/s] 15%|█▌ | 6/40 [00:05<00:31, 1.09it/s] 18%|█▊ | 7/40 [00:06<00:30, 1.09it/s] 20%|██ | 8/40 [00:07<00:29, 1.09it/s] 22%|██▎ | 9/40 [00:08<00:28, 1.09it/s] 25%|██▌ | 10/40 [00:09<00:27, 1.09it/s] 28%|██▊ | 11/40 [00:10<00:26, 1.09it/s] 30%|███ | 12/40 [00:11<00:25, 1.09it/s] 32%|███▎ | 13/40 [00:11<00:24, 1.09it/s] 35%|███▌ | 14/40 [00:12<00:23, 1.09it/s] 38%|███▊ | 15/40 [00:13<00:22, 1.09it/s] 40%|████ | 16/40 [00:14<00:22, 1.09it/s] 42%|████▎ | 17/40 [00:15<00:21, 1.09it/s] 45%|████▌ | 18/40 [00:16<00:20, 1.09it/s] 48%|████▊ | 19/40 [00:17<00:19, 1.09it/s] 50%|█████ | 20/40 [00:18<00:18, 1.09it/s] 52%|█████▎ | 21/40 [00:19<00:17, 1.09it/s] 55%|█████▌ | 22/40 [00:20<00:16, 1.09it/s] 57%|█████▊ | 23/40 [00:21<00:15, 1.09it/s] 60%|██████ | 24/40 [00:22<00:14, 1.09it/s] 62%|██████▎ | 25/40 [00:22<00:13, 1.09it/s] 65%|██████▌ | 26/40 [00:23<00:12, 1.09it/s] 68%|██████▊ | 27/40 [00:24<00:11, 1.09it/s] 70%|███████ | 28/40 [00:25<00:11, 1.08it/s] 72%|███████▎ | 29/40 [00:26<00:10, 1.08it/s] 75%|███████▌ | 30/40 [00:27<00:09, 1.08it/s] 78%|███████▊ | 31/40 [00:28<00:08, 1.08it/s] 80%|████████ | 32/40 [00:29<00:07, 1.08it/s] 82%|████████▎ | 33/40 [00:30<00:06, 1.08it/s] 85%|████████▌ | 34/40 [00:31<00:05, 1.08it/s] 88%|████████▊ | 35/40 [00:32<00:04, 1.07it/s] 90%|█████████ | 36/40 [00:33<00:03, 1.07it/s] 92%|█████████▎| 37/40 [00:34<00:02, 1.07it/s] 95%|█████████▌| 38/40 [00:35<00:01, 1.07it/s] 98%|█████████▊| 39/40 [00:35<00:00, 1.07it/s] 100%|██████████| 40/40 [00:36<00:00, 1.07it/s] 100%|██████████| 40/40 [00:36<00:00, 1.08it/s] Decoding latents in cuda:0... done in 1.71s Move latents to cpu... done in 0.02s 0: 480x640 1 face, 157.2ms Speed: 3.0ms preprocess, 157.2ms inference, 27.2ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:07, 2.25it/s] 11%|█ | 2/19 [00:00<00:06, 2.58it/s] 16%|█▌ | 3/19 [00:01<00:05, 2.77it/s] 21%|██ | 4/19 [00:01<00:05, 2.85it/s] 26%|██▋ | 5/19 [00:01<00:04, 2.89it/s] 32%|███▏ | 6/19 [00:02<00:04, 2.90it/s] 37%|███▋ | 7/19 [00:02<00:04, 2.91it/s] 42%|████▏ | 8/19 [00:02<00:03, 2.90it/s] 47%|████▋ | 9/19 [00:03<00:03, 2.93it/s] 53%|█████▎ | 10/19 [00:03<00:03, 2.97it/s] 58%|█████▊ | 11/19 [00:03<00:02, 2.99it/s] 63%|██████▎ | 12/19 [00:04<00:02, 2.98it/s] 68%|██████▊ | 13/19 [00:04<00:02, 2.98it/s] 74%|███████▎ | 14/19 [00:04<00:01, 3.00it/s] 79%|███████▉ | 15/19 [00:05<00:01, 3.01it/s] 84%|████████▍ | 16/19 [00:05<00:00, 3.03it/s] 89%|████████▉ | 17/19 [00:05<00:00, 3.05it/s] 95%|█████████▍| 18/19 [00:06<00:00, 3.04it/s] 100%|██████████| 19/19 [00:06<00:00, 3.06it/s] 100%|██████████| 19/19 [00:06<00:00, 2.95it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0: 480x640 1 face, 8.0ms Speed: 2.5ms preprocess, 8.0ms inference, 1.4ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:05, 3.07it/s] 11%|█ | 2/19 [00:00<00:05, 3.10it/s] 16%|█▌ | 3/19 [00:00<00:05, 3.03it/s] 21%|██ | 4/19 [00:01<00:04, 3.05it/s] 26%|██▋ | 5/19 [00:01<00:04, 3.06it/s] 32%|███▏ | 6/19 [00:01<00:04, 3.00it/s] 37%|███▋ | 7/19 [00:02<00:03, 3.03it/s] 42%|████▏ | 8/19 [00:02<00:03, 3.06it/s] 47%|████▋ | 9/19 [00:02<00:03, 3.04it/s] 53%|█████▎ | 10/19 [00:03<00:02, 3.05it/s] 58%|█████▊ | 11/19 [00:03<00:02, 3.04it/s] 63%|██████▎ | 12/19 [00:03<00:02, 3.04it/s] 68%|██████▊ | 13/19 [00:04<00:01, 3.05it/s] 74%|███████▎ | 14/19 [00:04<00:01, 3.05it/s] 79%|███████▉ | 15/19 [00:04<00:01, 3.04it/s] 84%|████████▍ | 16/19 [00:05<00:00, 3.05it/s] 89%|████████▉ | 17/19 [00:05<00:00, 3.05it/s] 95%|█████████▍| 18/19 [00:05<00:00, 3.05it/s] 100%|██████████| 19/19 [00:06<00:00, 3.06it/s] 100%|██████████| 19/19 [00:06<00:00, 3.05it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0: 480x640 1 face, 8.1ms Speed: 2.3ms preprocess, 8.1ms inference, 1.4ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:06, 2.73it/s] 11%|█ | 2/19 [00:00<00:05, 2.84it/s] 16%|█▌ | 3/19 [00:01<00:05, 2.83it/s] 21%|██ | 4/19 [00:01<00:05, 2.52it/s] 26%|██▋ | 5/19 [00:01<00:05, 2.65it/s] 32%|███▏ | 6/19 [00:02<00:04, 2.75it/s] 37%|███▋ | 7/19 [00:02<00:04, 2.81it/s] 42%|████▏ | 8/19 [00:02<00:03, 2.79it/s] 47%|████▋ | 9/19 [00:03<00:03, 2.85it/s] 53%|█████▎ | 10/19 [00:03<00:03, 2.92it/s] 58%|█████▊ | 11/19 [00:03<00:02, 2.93it/s] 63%|██████▎ | 12/19 [00:04<00:02, 2.89it/s] 68%|██████▊ | 13/19 [00:04<00:02, 2.93it/s] 74%|███████▎ | 14/19 [00:05<00:01, 2.76it/s] 79%|███████▉ | 15/19 [00:05<00:01, 2.82it/s] 84%|████████▍ | 16/19 [00:05<00:01, 2.89it/s] 89%|████████▉ | 17/19 [00:05<00:00, 2.94it/s] 95%|█████████▍| 18/19 [00:06<00:00, 2.96it/s] 100%|██████████| 19/19 [00:06<00:00, 3.00it/s] 100%|██████████| 19/19 [00:06<00:00, 2.86it/s] Decoding latents in cuda:0... done in 0.6s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
(Elmore_Style fantasy oil painting:1.2) of a (barbarian, leather and fur armor), riding a (blue dragon:1.2), moonlit, night, cinematic, extremely detailed, intense lighting, epic, (brush strokes:1.2), (winter night:1.1)
negative_prompt
Specify things to not see in the output
photo, drawing, cartoon, illustration
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
768
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
0.45
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.
232894851
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++ 2M Karras
samping_steps
Number of denoising steps
40
cfg_scale
Scale for classifier-free guidance
7
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)
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/514988c0ee2245598b63e92d704ba0bb/00000-232894851.webp
https://files.tungsten.run/uploads/1fcdba1308fa4a36bf8d02f8ee8ee89e/00001-232894852.webp
https://files.tungsten.run/uploads/daf42a2985004c15ba6b32b5feaf429b/00002-232894853.webp
Finished in 70.4 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: (Elmore_Style fantasy oil painting:1.2) of a (barbarian, leather and fur armor), riding a (blue dragon:1.2), moonlit, night, cinematic, extremely detailed, intense lighting, epic, (brush strokes:1.2), (winter night:1.1) Full negative prompt: photo, drawing, cartoon, illustration 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:35, 1.09it/s] 5%|▌ | 2/40 [00:01<00:34, 1.09it/s] 8%|▊ | 3/40 [00:02<00:33, 1.09it/s] 10%|█ | 4/40 [00:03<00:33, 1.09it/s] 12%|█▎ | 5/40 [00:04<00:32, 1.09it/s] 15%|█▌ | 6/40 [00:05<00:31, 1.09it/s] 18%|█▊ | 7/40 [00:06<00:30, 1.09it/s] 20%|██ | 8/40 [00:07<00:29, 1.09it/s] 22%|██▎ | 9/40 [00:08<00:28, 1.09it/s] 25%|██▌ | 10/40 [00:09<00:27, 1.09it/s] 28%|██▊ | 11/40 [00:10<00:26, 1.09it/s] 30%|███ | 12/40 [00:11<00:25, 1.09it/s] 32%|███▎ | 13/40 [00:11<00:24, 1.09it/s] 35%|███▌ | 14/40 [00:12<00:23, 1.09it/s] 38%|███▊ | 15/40 [00:13<00:22, 1.09it/s] 40%|████ | 16/40 [00:14<00:22, 1.09it/s] 42%|████▎ | 17/40 [00:15<00:21, 1.09it/s] 45%|████▌ | 18/40 [00:16<00:20, 1.09it/s] 48%|████▊ | 19/40 [00:17<00:19, 1.09it/s] 50%|█████ | 20/40 [00:18<00:18, 1.09it/s] 52%|█████▎ | 21/40 [00:19<00:17, 1.09it/s] 55%|█████▌ | 22/40 [00:20<00:16, 1.09it/s] 57%|█████▊ | 23/40 [00:21<00:15, 1.09it/s] 60%|██████ | 24/40 [00:22<00:14, 1.09it/s] 62%|██████▎ | 25/40 [00:22<00:13, 1.09it/s] 65%|██████▌ | 26/40 [00:23<00:12, 1.09it/s] 68%|██████▊ | 27/40 [00:24<00:11, 1.09it/s] 70%|███████ | 28/40 [00:25<00:11, 1.08it/s] 72%|███████▎ | 29/40 [00:26<00:10, 1.08it/s] 75%|███████▌ | 30/40 [00:27<00:09, 1.08it/s] 78%|███████▊ | 31/40 [00:28<00:08, 1.08it/s] 80%|████████ | 32/40 [00:29<00:07, 1.08it/s] 82%|████████▎ | 33/40 [00:30<00:06, 1.08it/s] 85%|████████▌ | 34/40 [00:31<00:05, 1.08it/s] 88%|████████▊ | 35/40 [00:32<00:04, 1.07it/s] 90%|█████████ | 36/40 [00:33<00:03, 1.07it/s] 92%|█████████▎| 37/40 [00:34<00:02, 1.07it/s] 95%|█████████▌| 38/40 [00:35<00:01, 1.07it/s] 98%|█████████▊| 39/40 [00:35<00:00, 1.07it/s] 100%|██████████| 40/40 [00:36<00:00, 1.07it/s] 100%|██████████| 40/40 [00:36<00:00, 1.08it/s] Decoding latents in cuda:0... done in 1.71s Move latents to cpu... done in 0.02s 0: 480x640 1 face, 157.2ms Speed: 3.0ms preprocess, 157.2ms inference, 27.2ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:07, 2.25it/s] 11%|█ | 2/19 [00:00<00:06, 2.58it/s] 16%|█▌ | 3/19 [00:01<00:05, 2.77it/s] 21%|██ | 4/19 [00:01<00:05, 2.85it/s] 26%|██▋ | 5/19 [00:01<00:04, 2.89it/s] 32%|███▏ | 6/19 [00:02<00:04, 2.90it/s] 37%|███▋ | 7/19 [00:02<00:04, 2.91it/s] 42%|████▏ | 8/19 [00:02<00:03, 2.90it/s] 47%|████▋ | 9/19 [00:03<00:03, 2.93it/s] 53%|█████▎ | 10/19 [00:03<00:03, 2.97it/s] 58%|█████▊ | 11/19 [00:03<00:02, 2.99it/s] 63%|██████▎ | 12/19 [00:04<00:02, 2.98it/s] 68%|██████▊ | 13/19 [00:04<00:02, 2.98it/s] 74%|███████▎ | 14/19 [00:04<00:01, 3.00it/s] 79%|███████▉ | 15/19 [00:05<00:01, 3.01it/s] 84%|████████▍ | 16/19 [00:05<00:00, 3.03it/s] 89%|████████▉ | 17/19 [00:05<00:00, 3.05it/s] 95%|█████████▍| 18/19 [00:06<00:00, 3.04it/s] 100%|██████████| 19/19 [00:06<00:00, 3.06it/s] 100%|██████████| 19/19 [00:06<00:00, 2.95it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0: 480x640 1 face, 8.0ms Speed: 2.5ms preprocess, 8.0ms inference, 1.4ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:05, 3.07it/s] 11%|█ | 2/19 [00:00<00:05, 3.10it/s] 16%|█▌ | 3/19 [00:00<00:05, 3.03it/s] 21%|██ | 4/19 [00:01<00:04, 3.05it/s] 26%|██▋ | 5/19 [00:01<00:04, 3.06it/s] 32%|███▏ | 6/19 [00:01<00:04, 3.00it/s] 37%|███▋ | 7/19 [00:02<00:03, 3.03it/s] 42%|████▏ | 8/19 [00:02<00:03, 3.06it/s] 47%|████▋ | 9/19 [00:02<00:03, 3.04it/s] 53%|█████▎ | 10/19 [00:03<00:02, 3.05it/s] 58%|█████▊ | 11/19 [00:03<00:02, 3.04it/s] 63%|██████▎ | 12/19 [00:03<00:02, 3.04it/s] 68%|██████▊ | 13/19 [00:04<00:01, 3.05it/s] 74%|███████▎ | 14/19 [00:04<00:01, 3.05it/s] 79%|███████▉ | 15/19 [00:04<00:01, 3.04it/s] 84%|████████▍ | 16/19 [00:05<00:00, 3.05it/s] 89%|████████▉ | 17/19 [00:05<00:00, 3.05it/s] 95%|█████████▍| 18/19 [00:05<00:00, 3.05it/s] 100%|██████████| 19/19 [00:06<00:00, 3.06it/s] 100%|██████████| 19/19 [00:06<00:00, 3.05it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0: 480x640 1 face, 8.1ms Speed: 2.3ms preprocess, 8.1ms inference, 1.4ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/19 [00:00<?, ?it/s] 5%|▌ | 1/19 [00:00<00:06, 2.73it/s] 11%|█ | 2/19 [00:00<00:05, 2.84it/s] 16%|█▌ | 3/19 [00:01<00:05, 2.83it/s] 21%|██ | 4/19 [00:01<00:05, 2.52it/s] 26%|██▋ | 5/19 [00:01<00:05, 2.65it/s] 32%|███▏ | 6/19 [00:02<00:04, 2.75it/s] 37%|███▋ | 7/19 [00:02<00:04, 2.81it/s] 42%|████▏ | 8/19 [00:02<00:03, 2.79it/s] 47%|████▋ | 9/19 [00:03<00:03, 2.85it/s] 53%|█████▎ | 10/19 [00:03<00:03, 2.92it/s] 58%|█████▊ | 11/19 [00:03<00:02, 2.93it/s] 63%|██████▎ | 12/19 [00:04<00:02, 2.89it/s] 68%|██████▊ | 13/19 [00:04<00:02, 2.93it/s] 74%|███████▎ | 14/19 [00:05<00:01, 2.76it/s] 79%|███████▉ | 15/19 [00:05<00:01, 2.82it/s] 84%|████████▍ | 16/19 [00:05<00:01, 2.89it/s] 89%|████████▉ | 17/19 [00:05<00:00, 2.94it/s] 95%|█████████▍| 18/19 [00:06<00:00, 2.96it/s] 100%|██████████| 19/19 [00:06<00:00, 3.00it/s] 100%|██████████| 19/19 [00:06<00:00, 2.86it/s] Decoding latents in cuda:0... done in 0.6s Move latents to cpu... done in 0.0s Uploading outputs... Finished.