Dreadlocks with Comic Mix
Input
prompt
Specify things to see in the output
comic artwork of a female dark-skinned Nigerian hero with black dreadlocks wearing a red costume standing, smiling, in a city street, epic, dynamic shadows, cinematic lighting, daylight, warm summer day, upper body, crosshatching, 2D, Sharp, Detailed, HD, HDR, High Quality, High Resolution, Masterpiece, <lora:FaceBeauty_qinglong_V3:1>
negative_prompt
Specify things to not see in the output
nude, sexy, nsfw, young, child, full body, revealing, cleavage, GS-DeFeminize-neg, Anime, Manga, 3D, Render, Painting, Photo, RAW, Cartoon, Animated, muted colors, (monochrome:1.1), (greyscale:1.1), (black and white:1.1), Blurry, Low Quality, Low Resolution, Pixel, Deformed, Simple, noisy, verybadimagenegative_v1.3, Beyondv4-neg, antiBlurV2,
colorize
Colorize
0.2
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
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
0.25
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1820433574
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
20
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
blessed2_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/13db6e2e9c1d48b6991807dae445e1ff/00000-1820433574.webp
https://files.tungsten.run/uploads/f4da6c5406be4af98964d72c0181038d/00001-1820433575.webp
https://files.tungsten.run/uploads/bb4b435195e54333a21fd56d278c85bc/00002-1820433576.webp
https://files.tungsten.run/uploads/ead063af3abb4a14a60041c78d256aac/00003-1820433577.webp
Finished in 114.8 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: comic artwork of a female dark-skinned Nigerian hero with black dreadlocks wearing a red costume standing, smiling, in a city street, epic, dynamic shadows, cinematic lighting, daylight, warm summer day, upper body, crosshatching, 2D, Sharp, Detailed, HD, HDR, High Quality, High Resolution, Masterpiece, <lora:FaceBeauty_qinglong_V3:1>, <lora:colorize:0.2>, <lora:add_detail:0.25> Full negative prompt: nude, sexy, nsfw, young, child, full body, revealing, cleavage, GS-DeFeminize-neg, Anime, Manga, 3D, Render, Painting, Photo, RAW, Cartoon, Animated, muted colors, (monochrome:1.1), (greyscale:1.1), (black and white:1.1), Blurry, Low Quality, Low Resolution, Pixel, Deformed, Simple, noisy, verybadimagenegative_v1.3, Beyondv4-neg, antiBlurV2, 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:12, 1.54it/s] 10%|█ | 2/20 [00:01<00:12, 1.49it/s] 15%|█▌ | 3/20 [00:02<00:11, 1.50it/s] 20%|██ | 4/20 [00:02<00:10, 1.49it/s] 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Finished.
prompt
Specify things to see in the output
comic artwork of a female dark-skinned Nigerian hero with black dreadlocks wearing a red costume standing, smiling, in a city street, epic, dynamic shadows, cinematic lighting, daylight, warm summer day, upper body, crosshatching, 2D, Sharp, Detailed, HD, HDR, High Quality, High Resolution, Masterpiece, <lora:FaceBeauty_qinglong_V3:1>
negative_prompt
Specify things to not see in the output
nude, sexy, nsfw, young, child, full body, revealing, cleavage, GS-DeFeminize-neg, Anime, Manga, 3D, Render, Painting, Photo, RAW, Cartoon, Animated, muted colors, (monochrome:1.1), (greyscale:1.1), (black and white:1.1), Blurry, Low Quality, Low Resolution, Pixel, Deformed, Simple, noisy, verybadimagenegative_v1.3, Beyondv4-neg, antiBlurV2,
colorize
Colorize
0.2
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
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
0.25
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1820433574
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
20
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
blessed2_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/13db6e2e9c1d48b6991807dae445e1ff/00000-1820433574.webp
https://files.tungsten.run/uploads/f4da6c5406be4af98964d72c0181038d/00001-1820433575.webp
https://files.tungsten.run/uploads/bb4b435195e54333a21fd56d278c85bc/00002-1820433576.webp
https://files.tungsten.run/uploads/ead063af3abb4a14a60041c78d256aac/00003-1820433577.webp
Finished in 114.8 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: comic artwork of a female dark-skinned Nigerian hero with black dreadlocks wearing a red costume standing, smiling, in a city street, epic, dynamic shadows, cinematic lighting, daylight, warm summer day, upper body, crosshatching, 2D, Sharp, Detailed, HD, HDR, High Quality, High Resolution, Masterpiece, <lora:FaceBeauty_qinglong_V3:1>, <lora:colorize:0.2>, <lora:add_detail:0.25> Full negative prompt: nude, sexy, nsfw, young, child, full body, revealing, cleavage, GS-DeFeminize-neg, Anime, Manga, 3D, Render, Painting, Photo, RAW, Cartoon, Animated, muted colors, (monochrome:1.1), (greyscale:1.1), (black and white:1.1), Blurry, Low Quality, Low Resolution, Pixel, Deformed, Simple, noisy, verybadimagenegative_v1.3, Beyondv4-neg, antiBlurV2, 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:12, 1.54it/s] 10%|█ | 2/20 [00:01<00:12, 1.49it/s] 15%|█▌ | 3/20 [00:02<00:11, 1.50it/s] 20%|██ | 4/20 [00:02<00:10, 1.49it/s] 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[00:02<00:00, 4.81it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.81it/s] 20%|██ | 2/10 [00:00<00:01, 4.81it/s] 30%|███ | 3/10 [00:00<00:01, 4.85it/s] 40%|████ | 4/10 [00:00<00:01, 4.86it/s] 50%|█████ | 5/10 [00:01<00:01, 4.85it/s] 60%|██████ | 6/10 [00:01<00:00, 4.84it/s] 70%|███████ | 7/10 [00:01<00:00, 4.72it/s] 80%|████████ | 8/10 [00:01<00:00, 4.77it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.77it/s] 100%|██████████| 10/10 [00:02<00:00, 4.84it/s] 100%|██████████| 10/10 [00:02<00:00, 4.81it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.56it/s] 20%|██ | 2/10 [00:00<00:01, 4.71it/s] 30%|███ | 3/10 [00:00<00:01, 4.77it/s] 40%|████ | 4/10 [00:00<00:01, 4.58it/s] 50%|█████ | 5/10 [00:01<00:01, 4.61it/s] 60%|██████ | 6/10 [00:01<00:00, 4.61it/s] 70%|███████ | 7/10 [00:01<00:00, 4.46it/s] 80%|████████ | 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to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.65it/s] 20%|██ | 2/10 [00:00<00:01, 4.73it/s] 30%|███ | 3/10 [00:00<00:01, 4.80it/s] 40%|████ | 4/10 [00:00<00:01, 4.83it/s] 50%|█████ | 5/10 [00:01<00:01, 4.75it/s] 60%|██████ | 6/10 [00:01<00:00, 4.77it/s] 70%|███████ | 7/10 [00:01<00:00, 4.82it/s] 80%|████████ | 8/10 [00:01<00:00, 4.84it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.86it/s] 100%|██████████| 10/10 [00:02<00:00, 4.82it/s] 100%|██████████| 10/10 [00:02<00:00, 4.80it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.85it/s] 20%|██ | 2/10 [00:00<00:01, 4.78it/s] 30%|███ | 3/10 [00:00<00:01, 4.86it/s] 40%|████ | 4/10 [00:00<00:01, 4.77it/s] 50%|█████ | 5/10 [00:01<00:01, 4.73it/s] 60%|██████ | 6/10 [00:01<00:00, 4.78it/s] 70%|███████ | 7/10 [00:01<00:00, 4.76it/s] 80%|████████ | 8/10 [00:01<00:00, 4.82it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.83it/s] 100%|██████████| 10/10 [00:02<00:00, 4.90it/s] 100%|██████████| 10/10 [00:02<00:00, 4.83it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.86it/s] 20%|██ | 2/10 [00:00<00:01, 4.74it/s] 30%|███ | 3/10 [00:00<00:01, 4.71it/s] 40%|████ | 4/10 [00:00<00:01, 4.71it/s] 50%|█████ | 5/10 [00:01<00:01, 4.73it/s] 60%|██████ | 6/10 [00:01<00:00, 4.71it/s] 70%|███████ | 7/10 [00:01<00:00, 4.78it/s] 80%|████████ | 8/10 [00:01<00:00, 4.79it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.85it/s] 100%|██████████| 10/10 [00:02<00:00, 4.92it/s] 100%|██████████| 10/10 [00:02<00:00, 4.81it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.89it/s] 20%|██ | 2/10 [00:00<00:01, 4.90it/s] 30%|███ | 3/10 [00:00<00:01, 4.90it/s] 40%|████ | 4/10 [00:00<00:01, 4.87it/s] 50%|█████ | 5/10 [00:01<00:01, 4.79it/s] 60%|██████ | 6/10 [00:01<00:00, 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latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.69it/s] 20%|██ | 2/10 [00:00<00:01, 4.83it/s] 30%|███ | 3/10 [00:00<00:01, 4.35it/s] 40%|████ | 4/10 [00:00<00:01, 4.55it/s] 50%|█████ | 5/10 [00:01<00:01, 4.58it/s] 60%|██████ | 6/10 [00:01<00:00, 4.63it/s] 70%|███████ | 7/10 [00:01<00:00, 4.72it/s] 80%|████████ | 8/10 [00:01<00:00, 4.76it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.44it/s] 100%|██████████| 10/10 [00:02<00:00, 4.61it/s] 100%|██████████| 10/10 [00:02<00:00, 4.61it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.60it/s] 20%|██ | 2/10 [00:00<00:01, 4.80it/s] 30%|███ | 3/10 [00:00<00:01, 4.85it/s] 40%|████ | 4/10 [00:00<00:01, 4.88it/s] 50%|█████ | 5/10 [00:01<00:01, 4.77it/s] 60%|██████ | 6/10 [00:01<00:00, 4.64it/s] 70%|███████ | 7/10 [00:01<00:00, 4.60it/s] 80%|████████ | 8/10 [00:01<00:00, 4.72it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.79it/s] 100%|██████████| 10/10 [00:02<00:00, 4.87it/s] 100%|██████████| 10/10 [00:02<00:00, 4.78it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.67it/s] 20%|██ | 2/10 [00:00<00:01, 4.82it/s] 30%|███ | 3/10 [00:00<00:01, 4.86it/s] 40%|████ | 4/10 [00:00<00:01, 4.81it/s] 50%|█████ | 5/10 [00:01<00:01, 4.62it/s] 60%|██████ | 6/10 [00:01<00:00, 4.72it/s] 70%|███████ | 7/10 [00:01<00:00, 4.78it/s] 80%|████████ | 8/10 [00:01<00:00, 4.80it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.84it/s] 100%|██████████| 10/10 [00:02<00:00, 4.89it/s] 100%|██████████| 10/10 [00:02<00:00, 4.81it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.91it/s] 20%|██ | 2/10 [00:00<00:01, 4.93it/s] 30%|███ | 3/10 [00:00<00:01, 4.93it/s] 40%|████ | 4/10 [00:00<00:01, 4.92it/s] 50%|█████ | 5/10 [00:01<00:01, 4.87it/s] 60%|██████ | 6/10 [00:01<00:00, 4.90it/s] 70%|███████ | 7/10 [00:01<00:00, 4.87it/s] 80%|████████ | 8/10 [00:01<00:00, 4.87it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.84it/s] 100%|██████████| 10/10 [00:02<00:00, 4.83it/s] 100%|██████████| 10/10 [00:02<00:00, 4.87it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.53it/s] 20%|██ | 2/10 [00:00<00:01, 4.61it/s] 30%|███ | 3/10 [00:00<00:01, 4.56it/s] 40%|████ | 4/10 [00:00<00:01, 4.69it/s] 50%|█████ | 5/10 [00:01<00:01, 4.78it/s] 60%|██████ | 6/10 [00:01<00:00, 4.74it/s] 70%|███████ | 7/10 [00:01<00:00, 4.79it/s] 80%|████████ | 8/10 [00:01<00:00, 4.84it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.87it/s] 100%|██████████| 10/10 [00:02<00:00, 4.92it/s] 100%|██████████| 10/10 [00:02<00:00, 4.80it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.81it/s] 20%|██ | 2/10 [00:00<00:01, 4.11it/s] 30%|███ | 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latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.90it/s] 20%|██ | 2/10 [00:00<00:01, 4.94it/s] 30%|███ | 3/10 [00:00<00:01, 4.93it/s] 40%|████ | 4/10 [00:00<00:01, 4.83it/s] 50%|█████ | 5/10 [00:01<00:01, 4.77it/s] 60%|██████ | 6/10 [00:01<00:00, 4.83it/s] 70%|███████ | 7/10 [00:01<00:00, 4.88it/s] 80%|████████ | 8/10 [00:01<00:00, 4.90it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.83it/s] 100%|██████████| 10/10 [00:02<00:00, 4.81it/s] 100%|██████████| 10/10 [00:02<00:00, 4.84it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.90it/s] 20%|██ | 2/10 [00:00<00:01, 4.84it/s] 30%|███ | 3/10 [00:00<00:01, 4.84it/s] 40%|████ | 4/10 [00:00<00:01, 4.85it/s] 50%|█████ | 5/10 [00:01<00:01, 4.86it/s] 60%|██████ | 6/10 [00:01<00:00, 4.88it/s] 70%|███████ | 7/10 [00:01<00:00, 4.89it/s] 80%|████████ | 8/10 [00:01<00:00, 4.88it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.88it/s] 100%|██████████| 10/10 [00:02<00:00, 4.81it/s] 100%|██████████| 10/10 [00:02<00:00, 4.85it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.85it/s] 20%|██ | 2/10 [00:00<00:01, 4.90it/s] 30%|███ | 3/10 [00:00<00:01, 4.94it/s] 40%|████ | 4/10 [00:00<00:01, 4.78it/s] 50%|█████ | 5/10 [00:01<00:01, 4.76it/s] 60%|██████ | 6/10 [00:01<00:00, 4.76it/s] 70%|███████ | 7/10 [00:01<00:00, 4.77it/s] 80%|████████ | 8/10 [00:01<00:00, 4.77it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.82it/s] 100%|██████████| 10/10 [00:02<00:00, 4.88it/s] 100%|██████████| 10/10 [00:02<00:00, 4.83it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.81it/s] 20%|██ | 2/10 [00:00<00:01, 4.84it/s] 30%|███ | 3/10 [00:00<00:01, 4.82it/s] 40%|████ | 4/10 [00:00<00:01, 4.84it/s] 50%|█████ | 5/10 [00:01<00:01, 4.80it/s] 60%|██████ | 6/10 [00:01<00:00, 4.84it/s] 70%|███████ | 7/10 [00:01<00:00, 4.85it/s] 80%|████████ | 8/10 [00:01<00:00, 4.86it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.89it/s] 100%|██████████| 10/10 [00:02<00:00, 4.79it/s] 100%|██████████| 10/10 [00:02<00:00, 4.83it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.79it/s] 20%|██ | 2/10 [00:00<00:01, 4.21it/s] 30%|███ | 3/10 [00:00<00:01, 4.45it/s] 40%|████ | 4/10 [00:00<00:01, 4.55it/s] 50%|█████ | 5/10 [00:01<00:01, 4.69it/s] 60%|██████ | 6/10 [00:01<00:00, 4.68it/s] 70%|███████ | 7/10 [00:01<00:00, 4.75it/s] 80%|████████ | 8/10 [00:01<00:00, 4.78it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.72it/s] 100%|██████████| 10/10 [00:02<00:00, 4.82it/s] 100%|██████████| 10/10 [00:02<00:00, 4.69it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.81it/s] 20%|██ | 2/10 [00:00<00:01, 4.87it/s] 30%|███ | 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latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.74it/s] 20%|██ | 2/10 [00:00<00:01, 4.82it/s] 30%|███ | 3/10 [00:00<00:01, 4.81it/s] 40%|████ | 4/10 [00:00<00:01, 4.84it/s] 50%|█████ | 5/10 [00:01<00:01, 4.76it/s] 60%|██████ | 6/10 [00:01<00:00, 4.67it/s] 70%|███████ | 7/10 [00:01<00:00, 4.57it/s] 80%|████████ | 8/10 [00:01<00:00, 4.69it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.76it/s] 100%|██████████| 10/10 [00:02<00:00, 4.81it/s] 100%|██████████| 10/10 [00:02<00:00, 4.75it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.81it/s] 20%|██ | 2/10 [00:00<00:01, 4.90it/s] 30%|███ | 3/10 [00:00<00:01, 4.92it/s] 40%|████ | 4/10 [00:00<00:01, 4.91it/s] 50%|█████ | 5/10 [00:01<00:01, 4.81it/s] 60%|██████ | 6/10 [00:01<00:00, 4.85it/s] 70%|███████ | 7/10 [00:01<00:00, 4.88it/s] 80%|████████ | 8/10 [00:01<00:00, 4.89it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.90it/s] 100%|██████████| 10/10 [00:02<00:00, 4.92it/s] 100%|██████████| 10/10 [00:02<00:00, 4.89it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.92it/s] 20%|██ | 2/10 [00:00<00:01, 4.78it/s] 30%|███ | 3/10 [00:00<00:01, 4.86it/s] 40%|████ | 4/10 [00:00<00:01, 4.89it/s] 50%|█████ | 5/10 [00:01<00:01, 4.91it/s] 60%|██████ | 6/10 [00:01<00:00, 4.93it/s] 70%|███████ | 7/10 [00:01<00:00, 4.77it/s] 80%|████████ | 8/10 [00:01<00:00, 4.75it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.74it/s] 100%|██████████| 10/10 [00:02<00:00, 4.78it/s] 100%|██████████| 10/10 [00:02<00:00, 4.81it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.85it/s] 20%|██ | 2/10 [00:00<00:01, 4.06it/s] 30%|███ | 3/10 [00:00<00:01, 4.30it/s] 40%|████ | 4/10 [00:00<00:01, 4.52it/s] 50%|█████ | 5/10 [00:01<00:01, 4.66it/s] 60%|██████ | 6/10 [00:01<00:00, 4.70it/s] 70%|███████ | 7/10 [00:01<00:00, 4.76it/s] 80%|████████ | 8/10 [00:01<00:00, 4.75it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.81it/s] 100%|██████████| 10/10 [00:02<00:00, 4.88it/s] 100%|██████████| 10/10 [00:02<00:00, 4.70it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s Uploading outputs... Finished.