Girls in Autumn with Studio Ghibli
Input
prompt
Specify things to see in the output
Ghibli masterpiece, ultra-realistic 32K, extremely detailed CG Unity 8K wallpaper, best quality (autumn day), 1girl, necklace, eardrop, Glacier National Park, United States. (Deep pink pair a button-down shirt with tailored shorts and loafers) Silver hair, layered hair, volumetric light,
negative_prompt
Specify things to not see in the output
watermark, text, logo, contact, error, blurry, cropped, username, artist name, (worst quality, low quality, nsfw, nipple, pussy:1.5), anime-style-negative-embedding, By bad artist -neg, SimpleNegative_AnimeV1
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
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0
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.
3914739853
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
32
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/024992993d9044089e26b6a38c23e749/00000-3914739853.webp
https://files.tungsten.run/uploads/cb6192b45a4044e2842a7e1a47dd90a8/00001-3914739854.webp
https://files.tungsten.run/uploads/b52839e7496e457482c326ac96aec42f/00002-3914739855.webp
https://files.tungsten.run/uploads/144f7fff26604679bf7dfc347686decd/00003-3914739856.webp
Finished in 77.7 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: Ghibli masterpiece, ultra-realistic 32K, extremely detailed CG Unity 8K wallpaper, best quality (autumn day), 1girl, necklace, eardrop, Glacier National Park, United States. (Deep pink pair a button-down shirt with tailored shorts and loafers) Silver hair, layered hair, volumetric light, Full negative prompt: watermark, text, logo, contact, error, blurry, cropped, username, artist name, (worst quality, low quality, nsfw, nipple, pussy:1.5), anime-style-negative-embedding, By bad artist -neg, SimpleNegative_AnimeV1 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:00<00:21, 1.42it/s] 6%|▋ | 2/32 [00:01<00:20, 1.47it/s] 9%|▉ | 3/32 [00:02<00:19, 1.46it/s] 12%|█▎ | 4/32 [00:02<00:19, 1.45it/s] 16%|█▌ | 5/32 [00:03<00:18, 1.47it/s] 19%|█▉ | 6/32 [00:04<00:17, 1.47it/s] 22%|██▏ | 7/32 [00:04<00:17, 1.46it/s] 25%|██▌ | 8/32 [00:05<00:16, 1.46it/s] 28%|██▊ | 9/32 [00:06<00:15, 1.46it/s] 31%|███▏ | 10/32 [00:06<00:14, 1.47it/s] 34%|███▍ | 11/32 [00:07<00:14, 1.47it/s] 38%|███▊ | 12/32 [00:08<00:13, 1.47it/s] 41%|████ | 13/32 [00:08<00:13, 1.46it/s] 44%|████▍ | 14/32 [00:09<00:12, 1.46it/s] 47%|████▋ | 15/32 [00:10<00:11, 1.46it/s] 50%|█████ | 16/32 [00:10<00:10, 1.46it/s] 53%|█████▎ | 17/32 [00:11<00:10, 1.46it/s] 56%|█████▋ | 18/32 [00:12<00:09, 1.46it/s] 59%|█████▉ | 19/32 [00:13<00:08, 1.46it/s] 62%|██████▎ | 20/32 [00:13<00:08, 1.45it/s] 66%|██████▌ | 21/32 [00:14<00:07, 1.46it/s] 69%|██████▉ | 22/32 [00:15<00:06, 1.45it/s] 72%|███████▏ | 23/32 [00:15<00:06, 1.45it/s] 75%|███████▌ | 24/32 [00:16<00:05, 1.45it/s] 78%|███████▊ | 25/32 [00:17<00:04, 1.45it/s] 81%|████████▏ | 26/32 [00:17<00:04, 1.45it/s] 84%|████████▍ | 27/32 [00:18<00:03, 1.45it/s] 88%|████████▊ | 28/32 [00:19<00:02, 1.45it/s] 91%|█████████ | 29/32 [00:19<00:02, 1.45it/s] 94%|█████████▍| 30/32 [00:20<00:01, 1.45it/s] 97%|█████████▋| 31/32 [00:21<00:00, 1.45it/s] 100%|██████████| 32/32 [00:21<00:00, 1.47it/s] 100%|██████████| 32/32 [00:21<00:00, 1.46it/s] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.9ms Speed: 3.7ms preprocess, 7.9ms inference, 36.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/18 [00:00<?, ?it/s] 6%|▌ | 1/18 [00:00<00:05, 3.12it/s] 11%|█ | 2/18 [00:00<00:03, 4.49it/s] 17%|█▋ | 3/18 [00:00<00:02, 5.20it/s] 22%|██▏ | 4/18 [00:00<00:02, 5.62it/s] 28%|██▊ | 5/18 [00:00<00:02, 5.89it/s] 33%|███▎ | 6/18 [00:01<00:02, 5.95it/s] 39%|███▉ | 7/18 [00:01<00:01, 5.94it/s] 44%|████▍ | 8/18 [00:01<00:01, 6.05it/s] 50%|█████ | 9/18 [00:01<00:01, 6.14it/s] 56%|█████▌ | 10/18 [00:01<00:01, 6.20it/s] 61%|██████ | 11/18 [00:01<00:01, 6.24it/s] 67%|██████▋ | 12/18 [00:02<00:00, 6.26it/s] 72%|███████▏ | 13/18 [00:02<00:00, 6.21it/s] 78%|███████▊ | 14/18 [00:02<00:00, 6.23it/s] 83%|████████▎ | 15/18 [00:02<00:00, 6.25it/s] 89%|████████▉ | 16/18 [00:02<00:00, 6.28it/s] 94%|█████████▍| 17/18 [00:02<00:00, 6.28it/s] 100%|██████████| 18/18 [00:03<00:00, 6.34it/s] 100%|██████████| 18/18 [00:03<00:00, 5.96it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 3 hands, 7.4ms Speed: 3.1ms preprocess, 7.4ms inference, 2.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/18 [00:00<?, ?it/s] 6%|▌ | 1/18 [00:00<00:02, 6.50it/s] 11%|█ | 2/18 [00:00<00:02, 6.45it/s] 17%|█▋ | 3/18 [00:00<00:02, 6.41it/s] 22%|██▏ | 4/18 [00:00<00:02, 6.39it/s] 28%|██▊ | 5/18 [00:00<00:02, 6.28it/s] 33%|███▎ | 6/18 [00:00<00:01, 6.19it/s] 39%|███▉ | 7/18 [00:01<00:01, 6.19it/s] 44%|████▍ | 8/18 [00:01<00:01, 6.23it/s] 50%|█████ | 9/18 [00:01<00:01, 6.14it/s] 56%|█████▌ | 10/18 [00:01<00:01, 6.18it/s] 61%|██████ | 11/18 [00:01<00:01, 6.24it/s] 67%|██████▋ | 12/18 [00:01<00:00, 6.23it/s] 72%|███████▏ | 13/18 [00:02<00:00, 6.21it/s] 78%|███████▊ | 14/18 [00:02<00:00, 6.21it/s] 83%|████████▎ | 15/18 [00:02<00:00, 6.23it/s] 89%|████████▉ | 16/18 [00:02<00:00, 6.25it/s] 94%|█████████▍| 17/18 [00:02<00:00, 6.28it/s] 100%|██████████| 18/18 [00:02<00:00, 6.33it/s] 100%|██████████| 18/18 [00:02<00:00, 6.26it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/18 [00:00<?, ?it/s] 6%|▌ | 1/18 [00:00<00:02, 6.47it/s] 11%|█ | 2/18 [00:00<00:02, 6.37it/s] 17%|█▋ | 3/18 [00:00<00:02, 6.39it/s] 22%|██▏ | 4/18 [00:00<00:02, 6.41it/s] 28%|██▊ | 5/18 [00:00<00:02, 6.26it/s] 33%|███▎ | 6/18 [00:00<00:01, 6.22it/s] 39%|███▉ | 7/18 [00:01<00:01, 6.25it/s] 44%|████▍ | 8/18 [00:01<00:01, 6.25it/s] 50%|█████ | 9/18 [00:01<00:01, 6.28it/s] 56%|█████▌ | 10/18 [00:01<00:01, 6.33it/s] 61%|██████ | 11/18 [00:01<00:01, 6.27it/s] 67%|██████▋ | 12/18 [00:01<00:00, 6.21it/s] 72%|███████▏ | 13/18 [00:02<00:00, 6.20it/s] 78%|███████▊ | 14/18 [00:02<00:00, 6.22it/s] 83%|████████▎ | 15/18 [00:02<00:00, 6.24it/s] 89%|████████▉ | 16/18 [00:02<00:00, 6.26it/s] 94%|█████████▍| 17/18 [00:02<00:00, 6.23it/s] 100%|██████████| 18/18 [00:02<00:00, 6.29it/s] 100%|██████████| 18/18 [00:02<00:00, 6.27it/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 0.45s Move latents to cpu... done in 0.22s 0%| | 0/18 [00:00<?, ?it/s] 6%|▌ | 1/18 [00:00<00:02, 6.40it/s] 11%|█ | 2/18 [00:00<00:02, 6.17it/s] 17%|█▋ | 3/18 [00:00<00:02, 6.28it/s] 22%|██▏ | 4/18 [00:00<00:02, 6.29it/s] 28%|██▊ | 5/18 [00:00<00:02, 6.20it/s] 33%|███▎ | 6/18 [00:00<00:01, 6.18it/s] 39%|███▉ | 7/18 [00:01<00:01, 6.19it/s] 44%|████▍ | 8/18 [00:01<00:01, 6.22it/s] 50%|█████ | 9/18 [00:01<00:01, 6.22it/s] 56%|█████▌ | 10/18 [00:01<00:01, 6.25it/s] 61%|██████ | 11/18 [00:01<00:01, 6.20it/s] 67%|██████▋ | 12/18 [00:01<00:00, 6.17it/s] 72%|███████▏ | 13/18 [00:02<00:00, 6.20it/s] 78%|███████▊ | 14/18 [00:02<00:00, 6.22it/s] 83%|████████▎ | 15/18 [00:02<00:00, 6.09it/s] 89%|████████▉ | 16/18 [00:02<00:00, 6.16it/s] 94%|█████████▍| 17/18 [00:02<00:00, 6.17it/s] 100%|██████████| 18/18 [00:02<00:00, 6.23it/s] 100%|██████████| 18/18 [00:02<00:00, 6.21it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 3.0ms preprocess, 7.4ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/18 [00:00<?, ?it/s] 6%|▌ | 1/18 [00:00<00:02, 6.60it/s] 11%|█ | 2/18 [00:00<00:02, 6.41it/s] 17%|█▋ | 3/18 [00:00<00:02, 6.40it/s] 22%|██▏ | 4/18 [00:00<00:02, 6.39it/s] 28%|██▊ | 5/18 [00:00<00:02, 6.37it/s] 33%|███▎ | 6/18 [00:00<00:01, 6.24it/s] 39%|███▉ | 7/18 [00:01<00:01, 6.18it/s] 44%|████▍ | 8/18 [00:01<00:01, 6.22it/s] 50%|█████ | 9/18 [00:01<00:01, 6.15it/s] 56%|█████▌ | 10/18 [00:01<00:01, 6.20it/s] 61%|██████ | 11/18 [00:01<00:01, 6.26it/s] 67%|██████▋ | 12/18 [00:01<00:00, 6.23it/s] 72%|███████▏ | 13/18 [00:02<00:00, 6.20it/s] 78%|███████▊ | 14/18 [00:02<00:00, 6.14it/s] 83%|████████▎ | 15/18 [00:02<00:00, 6.18it/s] 89%|████████▉ | 16/18 [00:02<00:00, 6.22it/s] 94%|█████████▍| 17/18 [00:02<00:00, 6.26it/s] 100%|██████████| 18/18 [00:02<00:00, 6.29it/s] 100%|██████████| 18/18 [00:02<00:00, 6.25it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.3ms Speed: 2.9ms preprocess, 7.3ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/18 [00:00<?, ?it/s] 6%|▌ | 1/18 [00:00<00:02, 6.66it/s] 11%|█ | 2/18 [00:00<00:02, 6.52it/s] 17%|█▋ | 3/18 [00:00<00:02, 6.48it/s] 22%|██▏ | 4/18 [00:00<00:02, 6.31it/s] 28%|██▊ | 5/18 [00:00<00:02, 6.35it/s] 33%|███▎ | 6/18 [00:00<00:01, 6.25it/s] 39%|███▉ | 7/18 [00:01<00:01, 6.20it/s] 44%|████▍ | 8/18 [00:01<00:01, 6.21it/s] 50%|█████ | 9/18 [00:01<00:01, 6.23it/s] 56%|█████▌ | 10/18 [00:01<00:01, 6.27it/s] 61%|██████ | 11/18 [00:01<00:01, 6.32it/s] 67%|██████▋ | 12/18 [00:01<00:00, 6.27it/s] 72%|███████▏ | 13/18 [00:02<00:00, 6.22it/s] 78%|███████▊ | 14/18 [00:02<00:00, 6.22it/s] 83%|████████▎ | 15/18 [00:02<00:00, 6.22it/s] 89%|████████▉ | 16/18 [00:02<00:00, 6.15it/s] 94%|█████████▍| 17/18 [00:02<00:00, 6.24it/s] 100%|██████████| 18/18 [00:02<00:00, 6.34it/s] 100%|██████████| 18/18 [00:02<00:00, 6.28it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.7ms Speed: 3.1ms preprocess, 7.7ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/18 [00:00<?, ?it/s] 6%|▌ | 1/18 [00:00<00:02, 6.69it/s] 11%|█ | 2/18 [00:00<00:02, 6.50it/s] 17%|█▋ | 3/18 [00:00<00:02, 6.44it/s] 22%|██▏ | 4/18 [00:00<00:02, 6.26it/s] 28%|██▊ | 5/18 [00:00<00:02, 6.33it/s] 33%|███▎ | 6/18 [00:00<00:01, 6.23it/s] 39%|███▉ | 7/18 [00:01<00:01, 6.20it/s] 44%|████▍ | 8/18 [00:01<00:01, 6.20it/s] 50%|█████ | 9/18 [00:01<00:01, 6.24it/s] 56%|█████▌ | 10/18 [00:01<00:01, 6.26it/s] 61%|██████ | 11/18 [00:01<00:01, 6.25it/s] 67%|██████▋ | 12/18 [00:01<00:00, 6.21it/s] 72%|███████▏ | 13/18 [00:02<00:00, 6.16it/s] 78%|███████▊ | 14/18 [00:02<00:00, 6.17it/s] 83%|████████▎ | 15/18 [00:02<00:00, 6.21it/s] 89%|████████▉ | 16/18 [00:02<00:00, 6.24it/s] 94%|█████████▍| 17/18 [00:02<00:00, 6.25it/s] 100%|██████████| 18/18 [00:02<00:00, 6.30it/s] 100%|██████████| 18/18 [00:02<00:00, 6.26it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.3ms Speed: 2.9ms preprocess, 7.3ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/18 [00:00<?, ?it/s] 6%|▌ | 1/18 [00:00<00:02, 6.61it/s] 11%|█ | 2/18 [00:00<00:02, 6.48it/s] 17%|█▋ | 3/18 [00:00<00:02, 6.43it/s] 22%|██▏ | 4/18 [00:00<00:02, 6.42it/s] 28%|██▊ | 5/18 [00:00<00:02, 6.41it/s] 33%|███▎ | 6/18 [00:00<00:01, 6.29it/s] 39%|███▉ | 7/18 [00:01<00:01, 6.21it/s] 44%|████▍ | 8/18 [00:01<00:01, 6.20it/s] 50%|█████ | 9/18 [00:01<00:01, 6.23it/s] 56%|█████▌ | 10/18 [00:01<00:01, 6.28it/s] 61%|██████ | 11/18 [00:01<00:01, 6.32it/s] 67%|██████▋ | 12/18 [00:01<00:00, 6.28it/s] 72%|███████▏ | 13/18 [00:02<00:00, 6.22it/s] 78%|███████▊ | 14/18 [00:02<00:00, 6.19it/s] 83%|████████▎ | 15/18 [00:02<00:00, 6.21it/s] 89%|████████▉ | 16/18 [00:02<00:00, 6.25it/s] 94%|█████████▍| 17/18 [00:02<00:00, 6.30it/s] 100%|██████████| 18/18 [00:02<00:00, 6.35it/s] 100%|██████████| 18/18 [00:02<00:00, 6.30it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.8ms Speed: 2.9ms preprocess, 7.8ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/18 [00:00<?, ?it/s] 6%|▌ | 1/18 [00:00<00:02, 6.69it/s] 11%|█ | 2/18 [00:00<00:02, 6.51it/s] 17%|█▋ | 3/18 [00:00<00:02, 6.48it/s] 22%|██▏ | 4/18 [00:00<00:02, 6.45it/s] 28%|██▊ | 5/18 [00:00<00:02, 6.43it/s] 33%|███▎ | 6/18 [00:00<00:01, 6.31it/s] 39%|███▉ | 7/18 [00:01<00:01, 6.03it/s] 44%|████▍ | 8/18 [00:01<00:01, 6.08it/s] 50%|█████ | 9/18 [00:01<00:01, 6.14it/s] 56%|█████▌ | 10/18 [00:01<00:01, 6.22it/s] 61%|██████ | 11/18 [00:01<00:01, 6.26it/s] 67%|██████▋ | 12/18 [00:01<00:00, 6.23it/s] 72%|███████▏ | 13/18 [00:02<00:00, 6.19it/s] 78%|███████▊ | 14/18 [00:02<00:00, 6.18it/s] 83%|████████▎ | 15/18 [00:02<00:00, 6.19it/s] 89%|████████▉ 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prompt
Specify things to see in the output
Ghibli masterpiece, ultra-realistic 32K, extremely detailed CG Unity 8K wallpaper, best quality (autumn day), 1girl, necklace, eardrop, Glacier National Park, United States. (Deep pink pair a button-down shirt with tailored shorts and loafers) Silver hair, layered hair, volumetric light,
negative_prompt
Specify things to not see in the output
watermark, text, logo, contact, error, blurry, cropped, username, artist name, (worst quality, low quality, nsfw, nipple, pussy:1.5), anime-style-negative-embedding, By bad artist -neg, SimpleNegative_AnimeV1
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
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0
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.
3914739853
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
32
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/024992993d9044089e26b6a38c23e749/00000-3914739853.webp
https://files.tungsten.run/uploads/cb6192b45a4044e2842a7e1a47dd90a8/00001-3914739854.webp
https://files.tungsten.run/uploads/b52839e7496e457482c326ac96aec42f/00002-3914739855.webp
https://files.tungsten.run/uploads/144f7fff26604679bf7dfc347686decd/00003-3914739856.webp
Finished in 77.7 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: Ghibli masterpiece, ultra-realistic 32K, extremely detailed CG Unity 8K wallpaper, best quality (autumn day), 1girl, necklace, eardrop, Glacier National Park, United States. (Deep pink pair a button-down shirt with tailored shorts and loafers) Silver hair, layered hair, volumetric light, Full negative prompt: watermark, text, logo, contact, error, blurry, cropped, username, artist name, (worst quality, low quality, nsfw, nipple, pussy:1.5), anime-style-negative-embedding, By bad artist -neg, SimpleNegative_AnimeV1 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:00<00:21, 1.42it/s] 6%|▋ | 2/32 [00:01<00:20, 1.47it/s] 9%|▉ | 3/32 [00:02<00:19, 1.46it/s] 12%|█▎ | 4/32 [00:02<00:19, 1.45it/s] 16%|█▌ | 5/32 [00:03<00:18, 1.47it/s] 19%|█▉ | 6/32 [00:04<00:17, 1.47it/s] 22%|██▏ | 7/32 [00:04<00:17, 1.46it/s] 25%|██▌ | 8/32 [00:05<00:16, 1.46it/s] 28%|██▊ | 9/32 [00:06<00:15, 1.46it/s] 31%|███▏ | 10/32 [00:06<00:14, 1.47it/s] 34%|███▍ | 11/32 [00:07<00:14, 1.47it/s] 38%|███▊ | 12/32 [00:08<00:13, 1.47it/s] 41%|████ | 13/32 [00:08<00:13, 1.46it/s] 44%|████▍ | 14/32 [00:09<00:12, 1.46it/s] 47%|████▋ | 15/32 [00:10<00:11, 1.46it/s] 50%|█████ | 16/32 [00:10<00:10, 1.46it/s] 53%|█████▎ | 17/32 [00:11<00:10, 1.46it/s] 56%|█████▋ | 18/32 [00:12<00:09, 1.46it/s] 59%|█████▉ | 19/32 [00:13<00:08, 1.46it/s] 62%|██████▎ | 20/32 [00:13<00:08, 1.45it/s] 66%|██████▌ | 21/32 [00:14<00:07, 1.46it/s] 69%|██████▉ | 22/32 [00:15<00:06, 1.45it/s] 72%|███████▏ | 23/32 [00:15<00:06, 1.45it/s] 75%|███████▌ | 24/32 [00:16<00:05, 1.45it/s] 78%|███████▊ | 25/32 [00:17<00:04, 1.45it/s] 81%|████████▏ | 26/32 [00:17<00:04, 1.45it/s] 84%|████████▍ | 27/32 [00:18<00:03, 1.45it/s] 88%|████████▊ | 28/32 [00:19<00:02, 1.45it/s] 91%|█████████ | 29/32 [00:19<00:02, 1.45it/s] 94%|█████████▍| 30/32 [00:20<00:01, 1.45it/s] 97%|█████████▋| 31/32 [00:21<00:00, 1.45it/s] 100%|██████████| 32/32 [00:21<00:00, 1.47it/s] 100%|██████████| 32/32 [00:21<00:00, 1.46it/s] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.9ms Speed: 3.7ms preprocess, 7.9ms inference, 36.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/18 [00:00<?, ?it/s] 6%|▌ | 1/18 [00:00<00:05, 3.12it/s] 11%|█ | 2/18 [00:00<00:03, 4.49it/s] 17%|█▋ | 3/18 [00:00<00:02, 5.20it/s] 22%|██▏ | 4/18 [00:00<00:02, 5.62it/s] 28%|██▊ | 5/18 [00:00<00:02, 5.89it/s] 33%|███▎ | 6/18 [00:01<00:02, 5.95it/s] 39%|███▉ | 7/18 [00:01<00:01, 5.94it/s] 44%|████▍ | 8/18 [00:01<00:01, 6.05it/s] 50%|█████ | 9/18 [00:01<00:01, 6.14it/s] 56%|█████▌ | 10/18 [00:01<00:01, 6.20it/s] 61%|██████ | 11/18 [00:01<00:01, 6.24it/s] 67%|██████▋ | 12/18 [00:02<00:00, 6.26it/s] 72%|███████▏ | 13/18 [00:02<00:00, 6.21it/s] 78%|███████▊ | 14/18 [00:02<00:00, 6.23it/s] 83%|████████▎ | 15/18 [00:02<00:00, 6.25it/s] 89%|████████▉ | 16/18 [00:02<00:00, 6.28it/s] 94%|█████████▍| 17/18 [00:02<00:00, 6.28it/s] 100%|██████████| 18/18 [00:03<00:00, 6.34it/s] 100%|██████████| 18/18 [00:03<00:00, 5.96it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 3 hands, 7.4ms Speed: 3.1ms preprocess, 7.4ms inference, 2.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/18 [00:00<?, ?it/s] 6%|▌ | 1/18 [00:00<00:02, 6.50it/s] 11%|█ | 2/18 [00:00<00:02, 6.45it/s] 17%|█▋ | 3/18 [00:00<00:02, 6.41it/s] 22%|██▏ | 4/18 [00:00<00:02, 6.39it/s] 28%|██▊ | 5/18 [00:00<00:02, 6.28it/s] 33%|███▎ | 6/18 [00:00<00:01, 6.19it/s] 39%|███▉ | 7/18 [00:01<00:01, 6.19it/s] 44%|████▍ | 8/18 [00:01<00:01, 6.23it/s] 50%|█████ | 9/18 [00:01<00:01, 6.14it/s] 56%|█████▌ | 10/18 [00:01<00:01, 6.18it/s] 61%|██████ | 11/18 [00:01<00:01, 6.24it/s] 67%|██████▋ | 12/18 [00:01<00:00, 6.23it/s] 72%|███████▏ | 13/18 [00:02<00:00, 6.21it/s] 78%|███████▊ | 14/18 [00:02<00:00, 6.21it/s] 83%|████████▎ | 15/18 [00:02<00:00, 6.23it/s] 89%|████████▉ | 16/18 [00:02<00:00, 6.25it/s] 94%|█████████▍| 17/18 [00:02<00:00, 6.28it/s] 100%|██████████| 18/18 [00:02<00:00, 6.33it/s] 100%|██████████| 18/18 [00:02<00:00, 6.26it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/18 [00:00<?, ?it/s] 6%|▌ | 1/18 [00:00<00:02, 6.47it/s] 11%|█ | 2/18 [00:00<00:02, 6.37it/s] 17%|█▋ | 3/18 [00:00<00:02, 6.39it/s] 22%|██▏ | 4/18 [00:00<00:02, 6.41it/s] 28%|██▊ | 5/18 [00:00<00:02, 6.26it/s] 33%|███▎ | 6/18 [00:00<00:01, 6.22it/s] 39%|███▉ | 7/18 [00:01<00:01, 6.25it/s] 44%|████▍ | 8/18 [00:01<00:01, 6.25it/s] 50%|█████ | 9/18 [00:01<00:01, 6.28it/s] 56%|█████▌ | 10/18 [00:01<00:01, 6.33it/s] 61%|██████ | 11/18 [00:01<00:01, 6.27it/s] 67%|██████▋ | 12/18 [00:01<00:00, 6.21it/s] 72%|███████▏ | 13/18 [00:02<00:00, 6.20it/s] 78%|███████▊ | 14/18 [00:02<00:00, 6.22it/s] 83%|████████▎ | 15/18 [00:02<00:00, 6.24it/s] 89%|████████▉ | 16/18 [00:02<00:00, 6.26it/s] 94%|█████████▍| 17/18 [00:02<00:00, 6.23it/s] 100%|██████████| 18/18 [00:02<00:00, 6.29it/s] 100%|██████████| 18/18 [00:02<00:00, 6.27it/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 0.45s Move latents to cpu... done in 0.22s 0%| | 0/18 [00:00<?, ?it/s] 6%|▌ | 1/18 [00:00<00:02, 6.40it/s] 11%|█ | 2/18 [00:00<00:02, 6.17it/s] 17%|█▋ | 3/18 [00:00<00:02, 6.28it/s] 22%|██▏ | 4/18 [00:00<00:02, 6.29it/s] 28%|██▊ | 5/18 [00:00<00:02, 6.20it/s] 33%|███▎ | 6/18 [00:00<00:01, 6.18it/s] 39%|███▉ | 7/18 [00:01<00:01, 6.19it/s] 44%|████▍ | 8/18 [00:01<00:01, 6.22it/s] 50%|█████ | 9/18 [00:01<00:01, 6.22it/s] 56%|█████▌ | 10/18 [00:01<00:01, 6.25it/s] 61%|██████ | 11/18 [00:01<00:01, 6.20it/s] 67%|██████▋ | 12/18 [00:01<00:00, 6.17it/s] 72%|███████▏ | 13/18 [00:02<00:00, 6.20it/s] 78%|███████▊ | 14/18 [00:02<00:00, 6.22it/s] 83%|████████▎ | 15/18 [00:02<00:00, 6.09it/s] 89%|████████▉ | 16/18 [00:02<00:00, 6.16it/s] 94%|█████████▍| 17/18 [00:02<00:00, 6.17it/s] 100%|██████████| 18/18 [00:02<00:00, 6.23it/s] 100%|██████████| 18/18 [00:02<00:00, 6.21it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 3.0ms preprocess, 7.4ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/18 [00:00<?, ?it/s] 6%|▌ | 1/18 [00:00<00:02, 6.60it/s] 11%|█ | 2/18 [00:00<00:02, 6.41it/s] 17%|█▋ | 3/18 [00:00<00:02, 6.40it/s] 22%|██▏ | 4/18 [00:00<00:02, 6.39it/s] 28%|██▊ | 5/18 [00:00<00:02, 6.37it/s] 33%|███▎ | 6/18 [00:00<00:01, 6.24it/s] 39%|███▉ | 7/18 [00:01<00:01, 6.18it/s] 44%|████▍ | 8/18 [00:01<00:01, 6.22it/s] 50%|█████ | 9/18 [00:01<00:01, 6.15it/s] 56%|█████▌ | 10/18 [00:01<00:01, 6.20it/s] 61%|██████ | 11/18 [00:01<00:01, 6.26it/s] 67%|██████▋ | 12/18 [00:01<00:00, 6.23it/s] 72%|███████▏ | 13/18 [00:02<00:00, 6.20it/s] 78%|███████▊ | 14/18 [00:02<00:00, 6.14it/s] 83%|████████▎ | 15/18 [00:02<00:00, 6.18it/s] 89%|████████▉ | 16/18 [00:02<00:00, 6.22it/s] 94%|█████████▍| 17/18 [00:02<00:00, 6.26it/s] 100%|██████████| 18/18 [00:02<00:00, 6.29it/s] 100%|██████████| 18/18 [00:02<00:00, 6.25it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.3ms Speed: 2.9ms preprocess, 7.3ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/18 [00:00<?, ?it/s] 6%|▌ | 1/18 [00:00<00:02, 6.66it/s] 11%|█ | 2/18 [00:00<00:02, 6.52it/s] 17%|█▋ | 3/18 [00:00<00:02, 6.48it/s] 22%|██▏ | 4/18 [00:00<00:02, 6.31it/s] 28%|██▊ | 5/18 [00:00<00:02, 6.35it/s] 33%|███▎ | 6/18 [00:00<00:01, 6.25it/s] 39%|███▉ | 7/18 [00:01<00:01, 6.20it/s] 44%|████▍ | 8/18 [00:01<00:01, 6.21it/s] 50%|█████ | 9/18 [00:01<00:01, 6.23it/s] 56%|█████▌ | 10/18 [00:01<00:01, 6.27it/s] 61%|██████ | 11/18 [00:01<00:01, 6.32it/s] 67%|██████▋ | 12/18 [00:01<00:00, 6.27it/s] 72%|███████▏ | 13/18 [00:02<00:00, 6.22it/s] 78%|███████▊ | 14/18 [00:02<00:00, 6.22it/s] 83%|████████▎ | 15/18 [00:02<00:00, 6.22it/s] 89%|████████▉ | 16/18 [00:02<00:00, 6.15it/s] 94%|█████████▍| 17/18 [00:02<00:00, 6.24it/s] 100%|██████████| 18/18 [00:02<00:00, 6.34it/s] 100%|██████████| 18/18 [00:02<00:00, 6.28it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.7ms Speed: 3.1ms preprocess, 7.7ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/18 [00:00<?, ?it/s] 6%|▌ | 1/18 [00:00<00:02, 6.69it/s] 11%|█ | 2/18 [00:00<00:02, 6.50it/s] 17%|█▋ | 3/18 [00:00<00:02, 6.44it/s] 22%|██▏ | 4/18 [00:00<00:02, 6.26it/s] 28%|██▊ | 5/18 [00:00<00:02, 6.33it/s] 33%|███▎ | 6/18 [00:00<00:01, 6.23it/s] 39%|███▉ | 7/18 [00:01<00:01, 6.20it/s] 44%|████▍ | 8/18 [00:01<00:01, 6.20it/s] 50%|█████ | 9/18 [00:01<00:01, 6.24it/s] 56%|█████▌ | 10/18 [00:01<00:01, 6.26it/s] 61%|██████ | 11/18 [00:01<00:01, 6.25it/s] 67%|██████▋ | 12/18 [00:01<00:00, 6.21it/s] 72%|███████▏ | 13/18 [00:02<00:00, 6.16it/s] 78%|███████▊ | 14/18 [00:02<00:00, 6.17it/s] 83%|████████▎ | 15/18 [00:02<00:00, 6.21it/s] 89%|████████▉ | 16/18 [00:02<00:00, 6.24it/s] 94%|█████████▍| 17/18 [00:02<00:00, 6.25it/s] 100%|██████████| 18/18 [00:02<00:00, 6.30it/s] 100%|██████████| 18/18 [00:02<00:00, 6.26it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.3ms Speed: 2.9ms preprocess, 7.3ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/18 [00:00<?, ?it/s] 6%|▌ | 1/18 [00:00<00:02, 6.61it/s] 11%|█ | 2/18 [00:00<00:02, 6.48it/s] 17%|█▋ | 3/18 [00:00<00:02, 6.43it/s] 22%|██▏ | 4/18 [00:00<00:02, 6.42it/s] 28%|██▊ | 5/18 [00:00<00:02, 6.41it/s] 33%|███▎ | 6/18 [00:00<00:01, 6.29it/s] 39%|███▉ | 7/18 [00:01<00:01, 6.21it/s] 44%|████▍ | 8/18 [00:01<00:01, 6.20it/s] 50%|█████ | 9/18 [00:01<00:01, 6.23it/s] 56%|█████▌ | 10/18 [00:01<00:01, 6.28it/s] 61%|██████ | 11/18 [00:01<00:01, 6.32it/s] 67%|██████▋ | 12/18 [00:01<00:00, 6.28it/s] 72%|███████▏ | 13/18 [00:02<00:00, 6.22it/s] 78%|███████▊ | 14/18 [00:02<00:00, 6.19it/s] 83%|████████▎ | 15/18 [00:02<00:00, 6.21it/s] 89%|████████▉ | 16/18 [00:02<00:00, 6.25it/s] 94%|█████████▍| 17/18 [00:02<00:00, 6.30it/s] 100%|██████████| 18/18 [00:02<00:00, 6.35it/s] 100%|██████████| 18/18 [00:02<00:00, 6.30it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.8ms Speed: 2.9ms preprocess, 7.8ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/18 [00:00<?, ?it/s] 6%|▌ | 1/18 [00:00<00:02, 6.69it/s] 11%|█ | 2/18 [00:00<00:02, 6.51it/s] 17%|█▋ | 3/18 [00:00<00:02, 6.48it/s] 22%|██▏ | 4/18 [00:00<00:02, 6.45it/s] 28%|██▊ | 5/18 [00:00<00:02, 6.43it/s] 33%|███▎ | 6/18 [00:00<00:01, 6.31it/s] 39%|███▉ | 7/18 [00:01<00:01, 6.03it/s] 44%|████▍ | 8/18 [00:01<00:01, 6.08it/s] 50%|█████ | 9/18 [00:01<00:01, 6.14it/s] 56%|█████▌ | 10/18 [00:01<00:01, 6.22it/s] 61%|██████ | 11/18 [00:01<00:01, 6.26it/s] 67%|██████▋ | 12/18 [00:01<00:00, 6.23it/s] 72%|███████▏ | 13/18 [00:02<00:00, 6.19it/s] 78%|███████▊ | 14/18 [00:02<00:00, 6.18it/s] 83%|████████▎ | 15/18 [00:02<00:00, 6.19it/s] 89%|████████▉ | 16/18 [00:02<00:00, 6.23it/s] 94%|█████████▍| 17/18 [00:02<00:00, 6.25it/s] 100%|██████████| 18/18 [00:02<00:00, 6.31it/s] 100%|██████████| 18/18 [00:02<00:00, 6.26it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 3 hands, 7.1ms Speed: 3.1ms preprocess, 7.1ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/18 [00:00<?, ?it/s] 6%|▌ | 1/18 [00:00<00:02, 5.94it/s] 11%|█ | 2/18 [00:00<00:02, 6.31it/s] 17%|█▋ | 3/18 [00:00<00:02, 6.35it/s] 22%|██▏ | 4/18 [00:00<00:02, 6.37it/s] 28%|██▊ | 5/18 [00:00<00:02, 6.39it/s] 33%|███▎ | 6/18 [00:00<00:01, 6.26it/s] 39%|███▉ | 7/18 [00:01<00:01, 6.23it/s] 44%|████▍ | 8/18 [00:01<00:01, 6.20it/s] 50%|█████ | 9/18 [00:01<00:01, 6.24it/s] 56%|█████▌ | 10/18 [00:01<00:01, 6.25it/s] 61%|██████ | 11/18 [00:01<00:01, 6.28it/s] 67%|██████▋ | 12/18 [00:01<00:00, 6.26it/s] 72%|███████▏ | 13/18 [00:02<00:00, 6.27it/s] 78%|███████▊ | 14/18 [00:02<00:00, 6.26it/s] 83%|████████▎ | 15/18 [00:02<00:00, 6.26it/s] 89%|████████▉ | 16/18 [00:02<00:00, 6.26it/s] 94%|█████████▍| 17/18 [00:02<00:00, 6.29it/s] 100%|██████████| 18/18 [00:02<00:00, 6.35it/s] 100%|██████████| 18/18 [00:02<00:00, 6.28it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/18 [00:00<?, ?it/s] 6%|▌ | 1/18 [00:00<00:02, 6.46it/s] 11%|█ | 2/18 [00:00<00:02, 6.40it/s] 17%|█▋ | 3/18 [00:00<00:02, 6.40it/s] 22%|██▏ | 4/18 [00:00<00:02, 6.40it/s] 28%|██▊ | 5/18 [00:00<00:02, 6.25it/s] 33%|███▎ | 6/18 [00:00<00:01, 6.24it/s] 39%|███▉ | 7/18 [00:01<00:01, 6.28it/s] 44%|████▍ | 8/18 [00:01<00:01, 6.30it/s] 50%|█████ | 9/18 [00:01<00:01, 6.33it/s] 56%|█████▌ | 10/18 [00:01<00:01, 6.34it/s] 61%|██████ | 11/18 [00:01<00:01, 6.26it/s] 67%|██████▋ | 12/18 [00:01<00:00, 6.23it/s] 72%|███████▏ | 13/18 [00:02<00:00, 6.25it/s] 78%|███████▊ | 14/18 [00:02<00:00, 6.23it/s] 83%|████████▎ | 15/18 [00:02<00:00, 6.26it/s] 89%|████████▉ | 16/18 [00:02<00:00, 6.28it/s] 94%|█████████▍| 17/18 [00:02<00:00, 6.26it/s] 100%|██████████| 18/18 [00:02<00:00, 6.33it/s] 100%|██████████| 18/18 [00:02<00:00, 6.30it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/18 [00:00<?, ?it/s] 6%|▌ | 1/18 [00:00<00:02, 6.50it/s] 11%|█ | 2/18 [00:00<00:02, 6.31it/s] 17%|█▋ | 3/18 [00:00<00:02, 6.30it/s] 22%|██▏ | 4/18 [00:00<00:02, 6.33it/s] 28%|██▊ | 5/18 [00:00<00:02, 6.24it/s] 33%|███▎ | 6/18 [00:00<00:01, 6.18it/s] 39%|███▉ | 7/18 [00:01<00:01, 6.22it/s] 44%|████▍ | 8/18 [00:01<00:01, 6.26it/s] 50%|█████ | 9/18 [00:01<00:01, 6.29it/s] 56%|█████▌ | 10/18 [00:01<00:01, 6.32it/s] 61%|██████ | 11/18 [00:01<00:01, 6.30it/s] 67%|██████▋ | 12/18 [00:01<00:00, 6.23it/s] 72%|███████▏ | 13/18 [00:02<00:00, 6.24it/s] 78%|███████▊ | 14/18 [00:02<00:00, 6.28it/s] 83%|████████▎ | 15/18 [00:02<00:00, 6.17it/s]