tungsten-logo
Sign In
Comfy in the Kitchen with Comic Mix
comic-mix:v3.25
evevalentine2017
evevalentine2017
·
Feb 27
369
Input
prompt
Specify things to see in the output
comic artwork of a pretty swedish woman, ginger hair, smiling happy, tied tank top, cleavage, plain briefs, kitchen background, epic, dynamic shadows, masterpiece, 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.
1418856519
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>
FaceBeauty_qinglong_V3.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
muscle_slider_v1.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)
Beyondv4-neg.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
antiBlurV2.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
verybadimagenegative_v1.3.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
Output
https://files.tungsten.run/uploads/59f1e5bd63664b3ea658251060e84ad6/00000-1418856519.webp
https://files.tungsten.run/uploads/837d602ae66a4a91a5172c0286e97928/00001-1418856520.webp
https://files.tungsten.run/uploads/bac25bd0c44f47bfb37389f97818e50c/00002-1418856521.webp
https://files.tungsten.run/uploads/609c56b2b53a42baaec4a58a0051685b/00003-1418856522.webp
Finished in 60.2 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: comic artwork of a pretty swedish woman, ginger hair, smiling happy, tied tank top, cleavage, plain briefs, kitchen background, epic, dynamic shadows, masterpiece, 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 [00:01<00:24, 1.29s/it] 10%|█ | 2/20 [00:01<00:16, 1.08it/s] 15%|█▌ | 3/20 [00:02<00:13, 1.24it/s] 20%|██ | 4/20 [00:03<00:12, 1.33it/s] 25%|██▌ | 5/20 [00:03<00:10, 1.39it/s] 30%|███ | 6/20 [00:04<00:09, 1.42it/s] 35%|███▌ | 7/20 [00:05<00:08, 1.44it/s] 40%|████ | 8/20 [00:05<00:08, 1.46it/s] 45%|████▌ | 9/20 [00:06<00:07, 1.47it/s] 50%|█████ | 10/20 [00:07<00:06, 1.47it/s] 55%|█████▌ | 11/20 [00:07<00:06, 1.48it/s] 60%|██████ | 12/20 [00:08<00:05, 1.48it/s] 65%|██████▌ | 13/20 [00:09<00:04, 1.49it/s] 70%|███████ | 14/20 [00:09<00:04, 1.49it/s] 75%|███████▌ | 15/20 [00:10<00:03, 1.48it/s] 80%|████████ | 16/20 [00:11<00:02, 1.49it/s] 85%|████████▌ | 17/20 [00:12<00:02, 1.49it/s] 90%|█████████ | 18/20 [00:12<00:01, 1.49it/s] 95%|█████████▌| 19/20 [00:13<00:00, 1.49it/s] 100%|██████████| 20/20 [00:14<00:00, 1.50it/s] 100%|██████████| 20/20 [00:14<00:00, 1.43it/s] Decoding latents in cuda:0... =========================================== A tensor with all NaNs was produced in VAE. Converted VAE into 32-bit float and retry. =========================================== done in 1.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.7ms Speed: 3.1ms preprocess, 7.7ms inference, 29.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:03, 2.49it/s] 20%|██ | 2/10 [00:00<00:02, 3.48it/s] 30%|███ | 3/10 [00:00<00:01, 3.72it/s] 40%|████ | 4/10 [00:01<00:01, 3.91it/s] 50%|█████ | 5/10 [00:01<00:01, 4.09it/s] 60%|██████ | 6/10 [00:01<00:01, 3.26it/s] 70%|███████ | 7/10 [00:02<00:01, 2.65it/s] 80%|████████ | 8/10 [00:02<00:00, 2.62it/s] 90%|█████████ | 9/10 [00:02<00:00, 2.83it/s] 100%|██████████| 10/10 [00:03<00:00, 2.75it/s] 100%|██████████| 10/10 [00:03<00:00, 3.00it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.01s 0: 640x640 2 hands, 8.6ms Speed: 2.9ms preprocess, 8.6ms inference, 2.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.61it/s] 20%|██ | 2/10 [00:00<00:01, 4.48it/s] 30%|███ | 3/10 [00:00<00:01, 4.07it/s] 40%|████ | 4/10 [00:00<00:01, 4.26it/s] 50%|█████ | 5/10 [00:01<00:01, 4.43it/s] 60%|██████ | 6/10 [00:01<00:00, 4.47it/s] 70%|███████ | 7/10 [00:01<00:00, 4.53it/s] 80%|████████ | 8/10 [00:01<00:00, 4.50it/s] 90%|█████████ | 9/10 [00:02<00:00, 4.45it/s] 100%|██████████| 10/10 [00:02<00:00, 4.63it/s] 100%|██████████| 10/10 [00:02<00:00, 4.48it/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, 4.96it/s] 20%|██ | 2/10 [00:00<00:01, 4.85it/s] 30%|███ | 3/10 [00:00<00:01, 4.70it/s] 40%|████ | 4/10 [00:00<00:01, 4.71it/s] 50%|█████ | 5/10 [00:01<00:01, 4.78it/s] 60%|██████ | 6/10 [00:01<00:00, 4.81it/s] 70%|███████ | 7/10 [00:01<00:00, 4.64it/s] 80%|████████ | 8/10 [00:01<00:00, 4.72it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.61it/s] 100%|██████████| 10/10 [00:02<00:00, 4.72it/s] 100%|██████████| 10/10 [00:02<00:00, 4.72it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 2.9ms preprocess, 7.5ms 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, 4.70it/s] 20%|██ | 2/10 [00:00<00:01, 4.82it/s] 30%|███ | 3/10 [00:00<00:01, 4.87it/s] 40%|████ | 4/10 [00:00<00:01, 4.91it/s] 50%|█████ | 5/10 [00:01<00:01, 4.89it/s] 60%|██████ | 6/10 [00:01<00:00, 4.78it/s] 70%|███████ | 7/10 [00:01<00:00, 4.75it/s] 80%|████████ | 8/10 [00:01<00:00, 4.42it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.55it/s] 100%|██████████| 10/10 [00:02<00:00, 4.68it/s] 100%|██████████| 10/10 [00:02<00:00, 4.71it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 6.9ms Speed: 2.7ms preprocess, 6.9ms 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, 4.62it/s] 20%|██ | 2/10 [00:00<00:01, 4.64it/s] 30%|███ | 3/10 [00:00<00:01, 4.68it/s] 40%|████ | 4/10 [00:00<00:01, 4.79it/s] 50%|█████ | 5/10 [00:01<00:01, 4.82it/s] 60%|██████ | 6/10 [00:01<00:00, 4.82it/s] 70%|███████ | 7/10 [00:01<00:00, 4.86it/s] 80%|████████ | 8/10 [00:01<00:00, 4.81it/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, 4.80it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.6ms preprocess, 7.2ms 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, 4.79it/s] 20%|██ | 2/10 [00:00<00:01, 4.90it/s] 30%|███ | 3/10 [00:00<00:01, 4.87it/s] 40%|████ | 4/10 [00:00<00:01, 4.85it/s] 50%|█████ | 5/10 [00:01<00:01, 4.73it/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, 4.85it/s] 100%|██████████| 10/10 [00:02<00:00, 4.80it/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: 640x640 2 hands, 8.5ms Speed: 2.8ms preprocess, 8.5ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.61it/s] 20%|██ | 2/10 [00:00<00:01, 4.67it/s] 30%|███ | 3/10 [00:00<00:01, 4.66it/s] 40%|████ | 4/10 [00:00<00:01, 4.66it/s] 50%|█████ | 5/10 [00:01<00:01, 4.64it/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, 4.72it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.69it/s] 100%|██████████| 10/10 [00:02<00:00, 4.37it/s] 100%|██████████| 10/10 [00:02<00:00, 4.58it/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<00:02, 4.09it/s] 20%|██ | 2/10 [00:00<00:01, 4.43it/s] 30%|███ | 3/10 [00:00<00:01, 4.66it/s] 40%|████ | 4/10 [00:00<00:01, 4.77it/s] 50%|█████ | 5/10 [00:01<00:01, 4.79it/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, 4.82it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.86it/s] 100%|██████████| 10/10 [00:02<00:00, 4.90it/s] 100%|██████████| 10/10 [00:02<00:00, 4.77it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.8ms preprocess, 7.3ms 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, 4.73it/s] 20%|██ | 2/10 [00:00<00:01, 4.73it/s] 30%|███ | 3/10 [00:00<00:01, 4.74it/s] 40%|████ | 4/10 [00:00<00:01, 4.78it/s] 50%|█████ | 5/10 [00:01<00:01, 4.82it/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, 4.91it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.90it/s] 100%|██████████| 10/10 [00:02<00:00, 4.80it/s] 100%|██████████| 10/10 [00:02<00:00, 4.82it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.0ms Speed: 2.7ms preprocess, 7.0ms 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, 4.95it/s] 20%|██ | 2/10 [00:00<00:01, 4.97it/s] 30%|███ | 3/10 [00:00<00:01, 4.98it/s] 40%|████ | 4/10 [00:00<00:01, 4.99it/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, 4.81it/s] 80%|████████ | 8/10 [00:01<00:00, 4.82it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.82it/s] 100%|██████████| 10/10 [00:02<00:00, 4.60it/s] 100%|██████████| 10/10 [00:02<00:00, 4.78it/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, 4.64it/s] 20%|██ | 2/10 [00:00<00:01, 4.75it/s] 30%|███ | 3/10 [00:00<00:01, 4.84it/s] 40%|████ | 4/10 [00:00<00:01, 4.86it/s] 50%|█████ | 5/10 [00:01<00:01, 4.84it/s] 60%|██████ | 6/10 [00:01<00:00, 4.78it/s] 70%|███████ | 7/10 [00:01<00:00, 4.82it/s] 80%|████████ | 8/10 [00:01<00:00, 4.56it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.61it/s] 100%|██████████| 10/10 [00:02<00:00, 4.62it/s] 100%|██████████| 10/10 [00:02<00:00, 4.70it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
comic artwork of a pretty swedish woman, ginger hair, smiling happy, tied tank top, cleavage, plain briefs, kitchen background, epic, dynamic shadows, masterpiece, 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.
1418856519
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>
FaceBeauty_qinglong_V3.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
muscle_slider_v1.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)
Beyondv4-neg.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
antiBlurV2.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
verybadimagenegative_v1.3.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/59f1e5bd63664b3ea658251060e84ad6/00000-1418856519.webp
https://files.tungsten.run/uploads/837d602ae66a4a91a5172c0286e97928/00001-1418856520.webp
https://files.tungsten.run/uploads/bac25bd0c44f47bfb37389f97818e50c/00002-1418856521.webp
https://files.tungsten.run/uploads/609c56b2b53a42baaec4a58a0051685b/00003-1418856522.webp
Finished in 60.2 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: comic artwork of a pretty swedish woman, ginger hair, smiling happy, tied tank top, cleavage, plain briefs, kitchen background, epic, dynamic shadows, masterpiece, 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 [00:01<00:24, 1.29s/it] 10%|█ | 2/20 [00:01<00:16, 1.08it/s] 15%|█▌ | 3/20 [00:02<00:13, 1.24it/s] 20%|██ | 4/20 [00:03<00:12, 1.33it/s] 25%|██▌ | 5/20 [00:03<00:10, 1.39it/s] 30%|███ | 6/20 [00:04<00:09, 1.42it/s] 35%|███▌ | 7/20 [00:05<00:08, 1.44it/s] 40%|████ | 8/20 [00:05<00:08, 1.46it/s] 45%|████▌ | 9/20 [00:06<00:07, 1.47it/s] 50%|█████ | 10/20 [00:07<00:06, 1.47it/s] 55%|█████▌ | 11/20 [00:07<00:06, 1.48it/s] 60%|██████ | 12/20 [00:08<00:05, 1.48it/s] 65%|██████▌ | 13/20 [00:09<00:04, 1.49it/s] 70%|███████ | 14/20 [00:09<00:04, 1.49it/s] 75%|███████▌ | 15/20 [00:10<00:03, 1.48it/s] 80%|████████ | 16/20 [00:11<00:02, 1.49it/s] 85%|████████▌ | 17/20 [00:12<00:02, 1.49it/s] 90%|█████████ | 18/20 [00:12<00:01, 1.49it/s] 95%|█████████▌| 19/20 [00:13<00:00, 1.49it/s] 100%|██████████| 20/20 [00:14<00:00, 1.50it/s] 100%|██████████| 20/20 [00:14<00:00, 1.43it/s] Decoding latents in cuda:0... =========================================== A tensor with all NaNs was produced in VAE. Converted VAE into 32-bit float and retry. =========================================== done in 1.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.7ms Speed: 3.1ms preprocess, 7.7ms inference, 29.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:03, 2.49it/s] 20%|██ | 2/10 [00:00<00:02, 3.48it/s] 30%|███ | 3/10 [00:00<00:01, 3.72it/s] 40%|████ | 4/10 [00:01<00:01, 3.91it/s] 50%|█████ | 5/10 [00:01<00:01, 4.09it/s] 60%|██████ | 6/10 [00:01<00:01, 3.26it/s] 70%|███████ | 7/10 [00:02<00:01, 2.65it/s] 80%|████████ | 8/10 [00:02<00:00, 2.62it/s] 90%|█████████ | 9/10 [00:02<00:00, 2.83it/s] 100%|██████████| 10/10 [00:03<00:00, 2.75it/s] 100%|██████████| 10/10 [00:03<00:00, 3.00it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.01s 0: 640x640 2 hands, 8.6ms Speed: 2.9ms preprocess, 8.6ms inference, 2.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.61it/s] 20%|██ | 2/10 [00:00<00:01, 4.48it/s] 30%|███ | 3/10 [00:00<00:01, 4.07it/s] 40%|████ | 4/10 [00:00<00:01, 4.26it/s] 50%|█████ | 5/10 [00:01<00:01, 4.43it/s] 60%|██████ | 6/10 [00:01<00:00, 4.47it/s] 70%|███████ | 7/10 [00:01<00:00, 4.53it/s] 80%|████████ | 8/10 [00:01<00:00, 4.50it/s] 90%|█████████ | 9/10 [00:02<00:00, 4.45it/s] 100%|██████████| 10/10 [00:02<00:00, 4.63it/s] 100%|██████████| 10/10 [00:02<00:00, 4.48it/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, 4.96it/s] 20%|██ | 2/10 [00:00<00:01, 4.85it/s] 30%|███ | 3/10 [00:00<00:01, 4.70it/s] 40%|████ | 4/10 [00:00<00:01, 4.71it/s] 50%|█████ | 5/10 [00:01<00:01, 4.78it/s] 60%|██████ | 6/10 [00:01<00:00, 4.81it/s] 70%|███████ | 7/10 [00:01<00:00, 4.64it/s] 80%|████████ | 8/10 [00:01<00:00, 4.72it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.61it/s] 100%|██████████| 10/10 [00:02<00:00, 4.72it/s] 100%|██████████| 10/10 [00:02<00:00, 4.72it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 2.9ms preprocess, 7.5ms 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, 4.70it/s] 20%|██ | 2/10 [00:00<00:01, 4.82it/s] 30%|███ | 3/10 [00:00<00:01, 4.87it/s] 40%|████ | 4/10 [00:00<00:01, 4.91it/s] 50%|█████ | 5/10 [00:01<00:01, 4.89it/s] 60%|██████ | 6/10 [00:01<00:00, 4.78it/s] 70%|███████ | 7/10 [00:01<00:00, 4.75it/s] 80%|████████ | 8/10 [00:01<00:00, 4.42it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.55it/s] 100%|██████████| 10/10 [00:02<00:00, 4.68it/s] 100%|██████████| 10/10 [00:02<00:00, 4.71it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 6.9ms Speed: 2.7ms preprocess, 6.9ms 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, 4.62it/s] 20%|██ | 2/10 [00:00<00:01, 4.64it/s] 30%|███ | 3/10 [00:00<00:01, 4.68it/s] 40%|████ | 4/10 [00:00<00:01, 4.79it/s] 50%|█████ | 5/10 [00:01<00:01, 4.82it/s] 60%|██████ | 6/10 [00:01<00:00, 4.82it/s] 70%|███████ | 7/10 [00:01<00:00, 4.86it/s] 80%|████████ | 8/10 [00:01<00:00, 4.81it/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, 4.80it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.6ms preprocess, 7.2ms 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, 4.79it/s] 20%|██ | 2/10 [00:00<00:01, 4.90it/s] 30%|███ | 3/10 [00:00<00:01, 4.87it/s] 40%|████ | 4/10 [00:00<00:01, 4.85it/s] 50%|█████ | 5/10 [00:01<00:01, 4.73it/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, 4.85it/s] 100%|██████████| 10/10 [00:02<00:00, 4.80it/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: 640x640 2 hands, 8.5ms Speed: 2.8ms preprocess, 8.5ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 4.61it/s] 20%|██ | 2/10 [00:00<00:01, 4.67it/s] 30%|███ | 3/10 [00:00<00:01, 4.66it/s] 40%|████ | 4/10 [00:00<00:01, 4.66it/s] 50%|█████ | 5/10 [00:01<00:01, 4.64it/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, 4.72it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.69it/s] 100%|██████████| 10/10 [00:02<00:00, 4.37it/s] 100%|██████████| 10/10 [00:02<00:00, 4.58it/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<00:02, 4.09it/s] 20%|██ | 2/10 [00:00<00:01, 4.43it/s] 30%|███ | 3/10 [00:00<00:01, 4.66it/s] 40%|████ | 4/10 [00:00<00:01, 4.77it/s] 50%|█████ | 5/10 [00:01<00:01, 4.79it/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, 4.82it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.86it/s] 100%|██████████| 10/10 [00:02<00:00, 4.90it/s] 100%|██████████| 10/10 [00:02<00:00, 4.77it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.8ms preprocess, 7.3ms 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, 4.73it/s] 20%|██ | 2/10 [00:00<00:01, 4.73it/s] 30%|███ | 3/10 [00:00<00:01, 4.74it/s] 40%|████ | 4/10 [00:00<00:01, 4.78it/s] 50%|█████ | 5/10 [00:01<00:01, 4.82it/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, 4.91it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.90it/s] 100%|██████████| 10/10 [00:02<00:00, 4.80it/s] 100%|██████████| 10/10 [00:02<00:00, 4.82it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.0ms Speed: 2.7ms preprocess, 7.0ms 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, 4.95it/s] 20%|██ | 2/10 [00:00<00:01, 4.97it/s] 30%|███ | 3/10 [00:00<00:01, 4.98it/s] 40%|████ | 4/10 [00:00<00:01, 4.99it/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, 4.81it/s] 80%|████████ | 8/10 [00:01<00:00, 4.82it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.82it/s] 100%|██████████| 10/10 [00:02<00:00, 4.60it/s] 100%|██████████| 10/10 [00:02<00:00, 4.78it/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, 4.64it/s] 20%|██ | 2/10 [00:00<00:01, 4.75it/s] 30%|███ | 3/10 [00:00<00:01, 4.84it/s] 40%|████ | 4/10 [00:00<00:01, 4.86it/s] 50%|█████ | 5/10 [00:01<00:01, 4.84it/s] 60%|██████ | 6/10 [00:01<00:00, 4.78it/s] 70%|███████ | 7/10 [00:01<00:00, 4.82it/s] 80%|████████ | 8/10 [00:01<00:00, 4.56it/s] 90%|█████████ | 9/10 [00:01<00:00, 4.61it/s] 100%|██████████| 10/10 [00:02<00:00, 4.62it/s] 100%|██████████| 10/10 [00:02<00:00, 4.70it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s Uploading outputs... Finished.