Sexy Boys with Vixon Fantasy Mix
Input
prompt
Specify things to see in the output
(8k, best quality, masterpiece), ultra-detailed, (high detailed skin), glossy skin, contraposto, photorealistic, ultrarealistic, professional photograph shot, high quality, long hair, black hair, 1boy, brown eyes, upper body, (topless) male, jeans, jungle background, <lora:add_detail:0.7>, <lora:color_slider_v10:2>
negative_prompt
Specify things to not see in the output
(badhandv4:1.2), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, ((monochrome)),((grayscale)), watermark, moles, easynegative, girl, feminine, ng_deepnegative_v1_75t, (oversized head:2), (big head:2), (deformed face:1.5),( blurry face:2), bad eyes, irregular eyes, asymmetric eyes, ugly, teeth, (navel:0.9), artefact, jpg artefact, blurry face, blurry, blurred, pixelated, bad eyes, crossed eyes, blurry eyes
num_outputs
Number of output images
4
width
Output image width
768
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
0.3
contrast
Adjust contrast
0
saturation
Adjust saturation
0.4
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
673594017
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
Euler a
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
8
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
kl-f8-anime2_fp16.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/8735dbf07a204ea494c35a6c7fb8df67/00000-673594017.webp
https://files.tungsten.run/uploads/c18a1a15a0194545a0c04a601a3962b2/00001-673594018.webp
https://files.tungsten.run/uploads/b947ad8153894b9e9b6c6da47b0f7ccb/00002-673594019.webp
https://files.tungsten.run/uploads/fcbd7bd868e54a4f8403fe4e8af2a559/00003-673594020.webp
Finished in 38.4 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: (8k, best quality, masterpiece), ultra-detailed, (high detailed skin), glossy skin, contraposto, photorealistic, ultrarealistic, professional photograph shot, high quality, long hair, black hair, 1boy, brown eyes, upper body, (topless) male, jeans, jungle background, <lora:color_slider_v10:2>, <lora:add_brightness:0.3>, <lora:add_saturation:0.4> Full negative prompt: (badhandv4:1.2), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, ((monochrome)),((grayscale)), watermark, moles, easynegative, girl, feminine, ng_deepnegative_v1_75t, (oversized head:2), (big head:2), (deformed face:1.5),( blurry face:2), bad eyes, irregular eyes, asymmetric eyes, ugly, teeth, (navel:0.9), artefact, jpg artefact, blurry face, blurry, blurred, pixelated, bad eyes, crossed eyes, blurry eyes 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:00<00:18, 1.56it/s] 7%|▋ | 2/30 [00:01<00:18, 1.52it/s] 10%|█ | 3/30 [00:01<00:17, 1.53it/s] 13%|█▎ | 4/30 [00:02<00:17, 1.52it/s] 17%|█▋ | 5/30 [00:03<00:16, 1.52it/s] 20%|██ | 6/30 [00:03<00:15, 1.52it/s] 23%|██▎ | 7/30 [00:04<00:15, 1.51it/s] 27%|██▋ | 8/30 [00:05<00:14, 1.51it/s] 30%|███ | 9/30 [00:05<00:13, 1.52it/s] 33%|███▎ | 10/30 [00:06<00:13, 1.51it/s] 37%|███▋ | 11/30 [00:07<00:12, 1.52it/s] 40%|████ | 12/30 [00:07<00:11, 1.51it/s] 43%|████▎ | 13/30 [00:08<00:11, 1.51it/s] 47%|████▋ | 14/30 [00:09<00:10, 1.52it/s] 50%|█████ | 15/30 [00:09<00:09, 1.51it/s] 53%|█████▎ | 16/30 [00:10<00:09, 1.52it/s] 57%|█████▋ | 17/30 [00:11<00:08, 1.51it/s] 60%|██████ | 18/30 [00:11<00:07, 1.51it/s] 63%|██████▎ | 19/30 [00:12<00:07, 1.51it/s] 67%|██████▋ | 20/30 [00:13<00:06, 1.51it/s] 70%|███████ | 21/30 [00:13<00:05, 1.51it/s] 73%|███████▎ | 22/30 [00:14<00:05, 1.51it/s] 77%|███████▋ | 23/30 [00:15<00:04, 1.50it/s] 80%|████████ | 24/30 [00:15<00:03, 1.50it/s] 83%|████████▎ | 25/30 [00:16<00:03, 1.50it/s] 87%|████████▋ | 26/30 [00:17<00:02, 1.50it/s] 90%|█████████ | 27/30 [00:17<00:02, 1.50it/s] 93%|█████████▎| 28/30 [00:18<00:01, 1.50it/s] 97%|█████████▋| 29/30 [00:19<00:00, 1.49it/s] 100%|██████████| 30/30 [00:19<00:00, 1.51it/s] 100%|██████████| 30/30 [00:19<00:00, 1.51it/s] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.01s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 4.93it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.60it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.63it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.70it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.76it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.80it/s] 50%|█████ | 7/14 [00:01<00:01, 4.64it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.72it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.77it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.78it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.83it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.74it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.75it/s] 100%|██████████| 14/14 [00:03<00:00, 4.39it/s] 100%|██████████| 14/14 [00:03<00:00, 4.65it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 4.68it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.73it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.70it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.72it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.55it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.63it/s] 50%|█████ | 7/14 [00:01<00:01, 4.71it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.76it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.75it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.70it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.75it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.79it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.75it/s] 100%|██████████| 14/14 [00:02<00:00, 4.84it/s] 100%|██████████| 14/14 [00:02<00:00, 4.74it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 4.44it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.43it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.51it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.61it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.57it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.67it/s] 50%|█████ | 7/14 [00:01<00:01, 4.57it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.63it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.64it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.62it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.68it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.74it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.77it/s] 100%|██████████| 14/14 [00:02<00:00, 4.83it/s] 100%|██████████| 14/14 [00:02<00:00, 4.67it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 4.58it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.75it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.72it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.68it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.62it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.68it/s] 50%|█████ | 7/14 [00:01<00:01, 4.74it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.79it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.83it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.78it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.81it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.82it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.83it/s] 100%|██████████| 14/14 [00:02<00:00, 4.88it/s] 100%|██████████| 14/14 [00:02<00:00, 4.78it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
(8k, best quality, masterpiece), ultra-detailed, (high detailed skin), glossy skin, contraposto, photorealistic, ultrarealistic, professional photograph shot, high quality, long hair, black hair, 1boy, brown eyes, upper body, (topless) male, jeans, jungle background, <lora:add_detail:0.7>, <lora:color_slider_v10:2>
negative_prompt
Specify things to not see in the output
(badhandv4:1.2), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, ((monochrome)),((grayscale)), watermark, moles, easynegative, girl, feminine, ng_deepnegative_v1_75t, (oversized head:2), (big head:2), (deformed face:1.5),( blurry face:2), bad eyes, irregular eyes, asymmetric eyes, ugly, teeth, (navel:0.9), artefact, jpg artefact, blurry face, blurry, blurred, pixelated, bad eyes, crossed eyes, blurry eyes
num_outputs
Number of output images
4
width
Output image width
768
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
0.3
contrast
Adjust contrast
0
saturation
Adjust saturation
0.4
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
673594017
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
Euler a
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
8
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
kl-f8-anime2_fp16.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/8735dbf07a204ea494c35a6c7fb8df67/00000-673594017.webp
https://files.tungsten.run/uploads/c18a1a15a0194545a0c04a601a3962b2/00001-673594018.webp
https://files.tungsten.run/uploads/b947ad8153894b9e9b6c6da47b0f7ccb/00002-673594019.webp
https://files.tungsten.run/uploads/fcbd7bd868e54a4f8403fe4e8af2a559/00003-673594020.webp
Finished in 38.4 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: (8k, best quality, masterpiece), ultra-detailed, (high detailed skin), glossy skin, contraposto, photorealistic, ultrarealistic, professional photograph shot, high quality, long hair, black hair, 1boy, brown eyes, upper body, (topless) male, jeans, jungle background, <lora:color_slider_v10:2>, <lora:add_brightness:0.3>, <lora:add_saturation:0.4> Full negative prompt: (badhandv4:1.2), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, ((monochrome)),((grayscale)), watermark, moles, easynegative, girl, feminine, ng_deepnegative_v1_75t, (oversized head:2), (big head:2), (deformed face:1.5),( blurry face:2), bad eyes, irregular eyes, asymmetric eyes, ugly, teeth, (navel:0.9), artefact, jpg artefact, blurry face, blurry, blurred, pixelated, bad eyes, crossed eyes, blurry eyes 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:00<00:18, 1.56it/s] 7%|▋ | 2/30 [00:01<00:18, 1.52it/s] 10%|█ | 3/30 [00:01<00:17, 1.53it/s] 13%|█▎ | 4/30 [00:02<00:17, 1.52it/s] 17%|█▋ | 5/30 [00:03<00:16, 1.52it/s] 20%|██ | 6/30 [00:03<00:15, 1.52it/s] 23%|██▎ | 7/30 [00:04<00:15, 1.51it/s] 27%|██▋ | 8/30 [00:05<00:14, 1.51it/s] 30%|███ | 9/30 [00:05<00:13, 1.52it/s] 33%|███▎ | 10/30 [00:06<00:13, 1.51it/s] 37%|███▋ | 11/30 [00:07<00:12, 1.52it/s] 40%|████ | 12/30 [00:07<00:11, 1.51it/s] 43%|████▎ | 13/30 [00:08<00:11, 1.51it/s] 47%|████▋ | 14/30 [00:09<00:10, 1.52it/s] 50%|█████ | 15/30 [00:09<00:09, 1.51it/s] 53%|█████▎ | 16/30 [00:10<00:09, 1.52it/s] 57%|█████▋ | 17/30 [00:11<00:08, 1.51it/s] 60%|██████ | 18/30 [00:11<00:07, 1.51it/s] 63%|██████▎ | 19/30 [00:12<00:07, 1.51it/s] 67%|██████▋ | 20/30 [00:13<00:06, 1.51it/s] 70%|███████ | 21/30 [00:13<00:05, 1.51it/s] 73%|███████▎ | 22/30 [00:14<00:05, 1.51it/s] 77%|███████▋ | 23/30 [00:15<00:04, 1.50it/s] 80%|████████ | 24/30 [00:15<00:03, 1.50it/s] 83%|████████▎ | 25/30 [00:16<00:03, 1.50it/s] 87%|████████▋ | 26/30 [00:17<00:02, 1.50it/s] 90%|█████████ | 27/30 [00:17<00:02, 1.50it/s] 93%|█████████▎| 28/30 [00:18<00:01, 1.50it/s] 97%|█████████▋| 29/30 [00:19<00:00, 1.49it/s] 100%|██████████| 30/30 [00:19<00:00, 1.51it/s] 100%|██████████| 30/30 [00:19<00:00, 1.51it/s] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.01s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 4.93it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.60it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.63it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.70it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.76it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.80it/s] 50%|█████ | 7/14 [00:01<00:01, 4.64it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.72it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.77it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.78it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.83it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.74it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.75it/s] 100%|██████████| 14/14 [00:03<00:00, 4.39it/s] 100%|██████████| 14/14 [00:03<00:00, 4.65it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 4.68it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.73it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.70it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.72it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.55it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.63it/s] 50%|█████ | 7/14 [00:01<00:01, 4.71it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.76it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.75it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.70it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.75it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.79it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.75it/s] 100%|██████████| 14/14 [00:02<00:00, 4.84it/s] 100%|██████████| 14/14 [00:02<00:00, 4.74it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 4.44it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.43it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.51it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.61it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.57it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.67it/s] 50%|█████ | 7/14 [00:01<00:01, 4.57it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.63it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.64it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.62it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.68it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.74it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.77it/s] 100%|██████████| 14/14 [00:02<00:00, 4.83it/s] 100%|██████████| 14/14 [00:02<00:00, 4.67it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:02, 4.58it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.75it/s] 21%|██▏ | 3/14 [00:00<00:02, 4.72it/s] 29%|██▊ | 4/14 [00:00<00:02, 4.68it/s] 36%|███▌ | 5/14 [00:01<00:01, 4.62it/s] 43%|████▎ | 6/14 [00:01<00:01, 4.68it/s] 50%|█████ | 7/14 [00:01<00:01, 4.74it/s] 57%|█████▋ | 8/14 [00:01<00:01, 4.79it/s] 64%|██████▍ | 9/14 [00:01<00:01, 4.83it/s] 71%|███████▏ | 10/14 [00:02<00:00, 4.78it/s] 79%|███████▊ | 11/14 [00:02<00:00, 4.81it/s] 86%|████████▌ | 12/14 [00:02<00:00, 4.82it/s] 93%|█████████▎| 13/14 [00:02<00:00, 4.83it/s] 100%|██████████| 14/14 [00:02<00:00, 4.88it/s] 100%|██████████| 14/14 [00:02<00:00, 4.78it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s Uploading outputs... Finished.