Version: v1.0
Input
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
saturation
Adjust saturation
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
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.
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.
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.
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.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
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.
Sign in to run this model for free!
Output
https://files.tungsten.run/uploads/a7e26bbf1d1e40b3be42df6b6b7d506f/00000-4245222360.webp
https://files.tungsten.run/uploads/feca6c7d80164e0dab57cfc1643b939f/00001-4245222361.webp
https://files.tungsten.run/uploads/e975b675a5304026995cb4594db12f50/00002-4245222362.webp
https://files.tungsten.run/uploads/aed0fed6800b43618526a6ea93175047/00003-4245222363.webp
This example was created by evevalentine2017
Finished in 41.8 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: (masterpiece, top quality, best quality, official art, beautiful and aesthetic:1.2), (8k, best quality, masterpiece:1.2), computer video game menu with a woman in a blue dress standing next to a dragon in a dark room with chinese writing on it, 1girl, solo, long_hair, hair_ornament, 1boy, dress, jewelry, very_long_hair, white_hair, male_focus, white_dress, bracelet, chinese_clothes, dragon, chinese_text, hanfu Full negative prompt: ((wrong fingers, extra feet, extra hands)),(worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, age spot, glans,extra fingers,fewer fingers,strange fingers,bad hand, badhandv4 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:13, 1.44it/s] 10%|█ | 2/20 [00:01<00:12, 1.49it/s] 15%|█▌ | 3/20 [00:01<00:11, 1.52it/s] 20%|██ | 4/20 [00:02<00:10, 1.53it/s] 25%|██▌ | 5/20 [00:03<00:09, 1.52it/s] 30%|███ | 6/20 [00:03<00:09, 1.52it/s] 35%|███▌ | 7/20 [00:04<00:08, 1.53it/s] 40%|████ | 8/20 [00:05<00:07, 1.53it/s] 45%|████▌ | 9/20 [00:05<00:07, 1.53it/s] 50%|█████ | 10/20 [00:06<00:06, 1.52it/s] 55%|█████▌ | 11/20 [00:07<00:05, 1.52it/s] 60%|██████ | 12/20 [00:07<00:05, 1.52it/s] 65%|██████▌ | 13/20 [00:08<00:04, 1.53it/s] 70%|███████ | 14/20 [00:09<00:03, 1.53it/s] 75%|███████▌ | 15/20 [00:09<00:03, 1.52it/s] 80%|████████ | 16/20 [00:10<00:02, 1.52it/s] 85%|████████▌ | 17/20 [00:11<00:01, 1.52it/s] 90%|█████████ | 18/20 [00:11<00:01, 1.52it/s] 95%|█████████▌| 19/20 [00:12<00:00, 1.51it/s] 100%|██████████| 20/20 [00:13<00:00, 1.53it/s] 100%|██████████| 20/20 [00:13<00:00, 1.52it/s] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 2 faces, 8.5ms Speed: 4.1ms preprocess, 8.5ms inference, 33.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:03, 2.35it/s] 20%|██ | 2/10 [00:00<00:02, 3.37it/s] 30%|███ | 3/10 [00:00<00:01, 3.88it/s] 40%|████ | 4/10 [00:01<00:01, 4.24it/s] 50%|█████ | 5/10 [00:01<00:01, 4.43it/s] 60%|██████ | 6/10 [00:01<00:00, 4.56it/s] 70%|███████ | 7/10 [00:01<00:00, 4.63it/s] 80%|████████ | 8/10 [00:01<00:00, 4.62it/s] 90%|█████████ | 9/10 [00:02<00:00, 4.67it/s] 100%|██████████| 10/10 [00:02<00:00, 4.73it/s] 100%|██████████| 10/10 [00:02<00:00, 4.34it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.01s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.66it/s] 20%|██ | 2/10 [00:00<00:01, 4.62it/s] 30%|███ | 3/10 [00:00<00:01, 4.63it/s] 40%|████ | 4/10 [00:00<00:01, 4.66it/s] 50%|█████ | 5/10 [00:01<00:01, 4.57it/s] 60%|██████ | 6/10 [00:01<00:00, 4.60it/s] 70%|███████ | 7/10 [00:01<00:00, 4.63it/s] 80%|████████ | 8/10 [00:01<00:00, 4.67it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.68it/s] 100%|██████████| 10/10 [00:02<00:00, 4.69it/s] 100%|██████████| 10/10 [00:02<00:00, 4.65it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 3 faces, 11.1ms Speed: 2.7ms preprocess, 11.1ms inference, 3.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 4.36it/s] 20%|██ | 2/10 [00:00<00:01, 4.41it/s] 30%|███ | 3/10 [00:00<00:01, 4.48it/s] 40%|████ | 4/10 [00:00<00:01, 4.49it/s] 50%|█████ | 5/10 [00:01<00:01, 4.58it/s] 60%|██████ | 6/10 [00:01<00:00, 4.66it/s] 70%|███████ | 7/10 [00:01<00:00, 4.71it/s] 80%|████████ | 8/10 [00:01<00:00, 4.69it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.56it/s] 100%|██████████| 10/10 [00:02<00:00, 4.60it/s] 100%|██████████| 10/10 [00:02<00:00, 4.58it/s] Decoding latents in cuda:0... done in 0.24s 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, 4.80it/s] 30%|███ | 3/10 [00:00<00:01, 4.88it/s] 40%|████ | 4/10 [00:00<00:01, 4.85it/s] 50%|█████ | 5/10 [00:01<00:01, 4.81it/s] 60%|██████ | 6/10 [00:01<00:00, 4.74it/s] 70%|███████ | 7/10 [00:01<00:00, 4.73it/s] 80%|████████ | 8/10 [00:01<00:00, 4.73it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.80it/s] 100%|██████████| 10/10 [00:02<00:00, 4.89it/s] 100%|██████████| 10/10 [00:02<00:00, 4.82it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.97it/s] 20%|██ | 2/10 [00:00<00:01, 4.98it/s] 30%|███ | 3/10 [00:00<00:01, 5.00it/s] 40%|████ | 4/10 [00:00<00:01, 4.99it/s] 50%|█████ | 5/10 [00:01<00:01, 4.99it/s] 60%|██████ | 6/10 [00:01<00:00, 4.96it/s] 70%|███████ | 7/10 [00:01<00:00, 4.98it/s] 80%|████████ | 8/10 [00:01<00:00, 4.97it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.97it/s] 100%|██████████| 10/10 [00:02<00:00, 5.01it/s] 100%|██████████| 10/10 [00:02<00:00, 4.99it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.1ms Speed: 2.6ms preprocess, 7.1ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.79it/s] 20%|██ | 2/10 [00:00<00:01, 4.80it/s] 30%|███ | 3/10 [00:00<00:01, 4.80it/s] 40%|████ | 4/10 [00:00<00:01, 4.81it/s] 50%|█████ | 5/10 [00:01<00:01, 4.85it/s] 60%|██████ | 6/10 [00:01<00:00, 4.89it/s] 70%|███████ | 7/10 [00:01<00:00, 4.91it/s] 80%|████████ | 8/10 [00:01<00:00, 4.93it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.91it/s] 100%|██████████| 10/10 [00:02<00:00, 4.97it/s] 100%|██████████| 10/10 [00:02<00:00, 4.90it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.1ms Speed: 2.7ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.96it/s] 20%|██ | 2/10 [00:00<00:01, 4.98it/s] 30%|███ | 3/10 [00:00<00:01, 4.89it/s] 40%|████ | 4/10 [00:00<00:01, 4.89it/s] 50%|█████ | 5/10 [00:01<00:01, 4.90it/s] 60%|██████ | 6/10 [00:01<00:00, 4.91it/s] 70%|███████ | 7/10 [00:01<00:00, 4.92it/s] 80%|████████ | 8/10 [00:01<00:00, 4.92it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.95it/s] 100%|██████████| 10/10 [00:02<00:00, 5.00it/s] 100%|██████████| 10/10 [00:02<00:00, 4.95it/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
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
saturation
Adjust saturation
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
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.
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.
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.
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.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
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.
Sign in to run this model for free!
https://files.tungsten.run/uploads/a7e26bbf1d1e40b3be42df6b6b7d506f/00000-4245222360.webp
https://files.tungsten.run/uploads/feca6c7d80164e0dab57cfc1643b939f/00001-4245222361.webp
https://files.tungsten.run/uploads/e975b675a5304026995cb4594db12f50/00002-4245222362.webp
https://files.tungsten.run/uploads/aed0fed6800b43618526a6ea93175047/00003-4245222363.webp
This example was created by evevalentine2017
Finished in 41.8 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: (masterpiece, top quality, best quality, official art, beautiful and aesthetic:1.2), (8k, best quality, masterpiece:1.2), computer video game menu with a woman in a blue dress standing next to a dragon in a dark room with chinese writing on it, 1girl, solo, long_hair, hair_ornament, 1boy, dress, jewelry, very_long_hair, white_hair, male_focus, white_dress, bracelet, chinese_clothes, dragon, chinese_text, hanfu Full negative prompt: ((wrong fingers, extra feet, extra hands)),(worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, age spot, glans,extra fingers,fewer fingers,strange fingers,bad hand, badhandv4 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:13, 1.44it/s] 10%|█ | 2/20 [00:01<00:12, 1.49it/s] 15%|█▌ | 3/20 [00:01<00:11, 1.52it/s] 20%|██ | 4/20 [00:02<00:10, 1.53it/s] 25%|██▌ | 5/20 [00:03<00:09, 1.52it/s] 30%|███ | 6/20 [00:03<00:09, 1.52it/s] 35%|███▌ | 7/20 [00:04<00:08, 1.53it/s] 40%|████ | 8/20 [00:05<00:07, 1.53it/s] 45%|████▌ | 9/20 [00:05<00:07, 1.53it/s] 50%|█████ | 10/20 [00:06<00:06, 1.52it/s] 55%|█████▌ | 11/20 [00:07<00:05, 1.52it/s] 60%|██████ | 12/20 [00:07<00:05, 1.52it/s] 65%|██████▌ | 13/20 [00:08<00:04, 1.53it/s] 70%|███████ | 14/20 [00:09<00:03, 1.53it/s] 75%|███████▌ | 15/20 [00:09<00:03, 1.52it/s] 80%|████████ | 16/20 [00:10<00:02, 1.52it/s] 85%|████████▌ | 17/20 [00:11<00:01, 1.52it/s] 90%|█████████ | 18/20 [00:11<00:01, 1.52it/s] 95%|█████████▌| 19/20 [00:12<00:00, 1.51it/s] 100%|██████████| 20/20 [00:13<00:00, 1.53it/s] 100%|██████████| 20/20 [00:13<00:00, 1.52it/s] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 2 faces, 8.5ms Speed: 4.1ms preprocess, 8.5ms inference, 33.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:03, 2.35it/s] 20%|██ | 2/10 [00:00<00:02, 3.37it/s] 30%|███ | 3/10 [00:00<00:01, 3.88it/s] 40%|████ | 4/10 [00:01<00:01, 4.24it/s] 50%|█████ | 5/10 [00:01<00:01, 4.43it/s] 60%|██████ | 6/10 [00:01<00:00, 4.56it/s] 70%|███████ | 7/10 [00:01<00:00, 4.63it/s] 80%|████████ | 8/10 [00:01<00:00, 4.62it/s] 90%|█████████ | 9/10 [00:02<00:00, 4.67it/s] 100%|██████████| 10/10 [00:02<00:00, 4.73it/s] 100%|██████████| 10/10 [00:02<00:00, 4.34it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.01s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.66it/s] 20%|██ | 2/10 [00:00<00:01, 4.62it/s] 30%|███ | 3/10 [00:00<00:01, 4.63it/s] 40%|████ | 4/10 [00:00<00:01, 4.66it/s] 50%|█████ | 5/10 [00:01<00:01, 4.57it/s] 60%|██████ | 6/10 [00:01<00:00, 4.60it/s] 70%|███████ | 7/10 [00:01<00:00, 4.63it/s] 80%|████████ | 8/10 [00:01<00:00, 4.67it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.68it/s] 100%|██████████| 10/10 [00:02<00:00, 4.69it/s] 100%|██████████| 10/10 [00:02<00:00, 4.65it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 3 faces, 11.1ms Speed: 2.7ms preprocess, 11.1ms inference, 3.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 4.36it/s] 20%|██ | 2/10 [00:00<00:01, 4.41it/s] 30%|███ | 3/10 [00:00<00:01, 4.48it/s] 40%|████ | 4/10 [00:00<00:01, 4.49it/s] 50%|█████ | 5/10 [00:01<00:01, 4.58it/s] 60%|██████ | 6/10 [00:01<00:00, 4.66it/s] 70%|███████ | 7/10 [00:01<00:00, 4.71it/s] 80%|████████ | 8/10 [00:01<00:00, 4.69it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.56it/s] 100%|██████████| 10/10 [00:02<00:00, 4.60it/s] 100%|██████████| 10/10 [00:02<00:00, 4.58it/s] Decoding latents in cuda:0... done in 0.24s 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, 4.80it/s] 30%|███ | 3/10 [00:00<00:01, 4.88it/s] 40%|████ | 4/10 [00:00<00:01, 4.85it/s] 50%|█████ | 5/10 [00:01<00:01, 4.81it/s] 60%|██████ | 6/10 [00:01<00:00, 4.74it/s] 70%|███████ | 7/10 [00:01<00:00, 4.73it/s] 80%|████████ | 8/10 [00:01<00:00, 4.73it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.80it/s] 100%|██████████| 10/10 [00:02<00:00, 4.89it/s] 100%|██████████| 10/10 [00:02<00:00, 4.82it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.97it/s] 20%|██ | 2/10 [00:00<00:01, 4.98it/s] 30%|███ | 3/10 [00:00<00:01, 5.00it/s] 40%|████ | 4/10 [00:00<00:01, 4.99it/s] 50%|█████ | 5/10 [00:01<00:01, 4.99it/s] 60%|██████ | 6/10 [00:01<00:00, 4.96it/s] 70%|███████ | 7/10 [00:01<00:00, 4.98it/s] 80%|████████ | 8/10 [00:01<00:00, 4.97it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.97it/s] 100%|██████████| 10/10 [00:02<00:00, 5.01it/s] 100%|██████████| 10/10 [00:02<00:00, 4.99it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.1ms Speed: 2.6ms preprocess, 7.1ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.79it/s] 20%|██ | 2/10 [00:00<00:01, 4.80it/s] 30%|███ | 3/10 [00:00<00:01, 4.80it/s] 40%|████ | 4/10 [00:00<00:01, 4.81it/s] 50%|█████ | 5/10 [00:01<00:01, 4.85it/s] 60%|██████ | 6/10 [00:01<00:00, 4.89it/s] 70%|███████ | 7/10 [00:01<00:00, 4.91it/s] 80%|████████ | 8/10 [00:01<00:00, 4.93it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.91it/s] 100%|██████████| 10/10 [00:02<00:00, 4.97it/s] 100%|██████████| 10/10 [00:02<00:00, 4.90it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.1ms Speed: 2.7ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.96it/s] 20%|██ | 2/10 [00:00<00:01, 4.98it/s] 30%|███ | 3/10 [00:00<00:01, 4.89it/s] 40%|████ | 4/10 [00:00<00:01, 4.89it/s] 50%|█████ | 5/10 [00:01<00:01, 4.90it/s] 60%|██████ | 6/10 [00:01<00:00, 4.91it/s] 70%|███████ | 7/10 [00:01<00:00, 4.92it/s] 80%|████████ | 8/10 [00:01<00:00, 4.92it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.95it/s] 100%|██████████| 10/10 [00:02<00:00, 5.00it/s] 100%|██████████| 10/10 [00:02<00:00, 4.95it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s Uploading outputs... Finished.