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Happy Birthday
umbra-mix:v5.0
evevalentine2017
evevalentine2017
·
12/23/2023
355
Input
prompt
Specify things to see in the output
happy birthday, santa hat, holding a beer
negative_prompt
Specify things to not see in the output
((spiderman)), ((humans)), ((persons)), BadDream, UnrealisticDream, bad_prompt_version2-neg, ng_deepnegative_v1_75t, (worst quality, low quality), bad image
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
0.5
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3205526581
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
DPM++ 3M SDE Karras
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
7.5
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>
more_details.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
FaceBeauty_qinglong_V3.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)
BadDream.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad_prompt_version2-neg.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.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/853447da8e5e4140aa2430249ebb0e33/00000-3205526581.webp
https://files.tungsten.run/uploads/3139277570474a37a75bd19596814864/00001-3205526582.webp
https://files.tungsten.run/uploads/158698013ebb474197f6e18847096e46/00002-3205526583.webp
https://files.tungsten.run/uploads/6fca773277a9426ca96d837c65d96e6a/00003-3205526584.webp
Finished in 137.2 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: happy birthday, santa hat, holding a beer, <lora:add_saturation:0.5> Full negative prompt: ((spiderman)), ((humans)), ((persons)), BadDream, UnrealisticDream, bad_prompt_version2-neg, ng_deepnegative_v1_75t, (worst quality, low quality), bad image 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:50, 1.74s/it] 7%|▋ | 2/30 [00:03<00:52, 1.89s/it] 10%|█ | 3/30 [00:05<00:50, 1.87s/it] 13%|█▎ | 4/30 [00:07<00:47, 1.84s/it] 17%|█▋ | 5/30 [00:09<00:46, 1.85s/it] 20%|██ | 6/30 [00:11<00:44, 1.84s/it] 23%|██▎ | 7/30 [00:12<00:42, 1.84s/it] 27%|██▋ | 8/30 [00:14<00:40, 1.84s/it] 30%|███ | 9/30 [00:16<00:37, 1.79s/it] 33%|███▎ | 10/30 [00:18<00:36, 1.82s/it] 37%|███▋ | 11/30 [00:20<00:33, 1.78s/it] 40%|████ | 12/30 [00:21<00:32, 1.79s/it] 43%|████▎ | 13/30 [00:23<00:29, 1.76s/it] 47%|████▋ | 14/30 [00:25<00:28, 1.77s/it] 50%|█████ | 15/30 [00:27<00:26, 1.78s/it] 53%|█████▎ | 16/30 [00:28<00:24, 1.76s/it] 57%|█████▋ | 17/30 [00:30<00:22, 1.75s/it] 60%|██████ | 18/30 [00:32<00:20, 1.73s/it] 63%|██████▎ | 19/30 [00:33<00:18, 1.70s/it] 67%|██████▋ | 20/30 [00:35<00:17, 1.73s/it] 70%|███████ | 21/30 [00:37<00:15, 1.71s/it] 73%|███████▎ | 22/30 [00:38<00:13, 1.64s/it] 77%|███████▋ | 23/30 [00:40<00:11, 1.63s/it] 80%|████████ | 24/30 [00:41<00:09, 1.62s/it] 83%|████████▎ | 25/30 [00:43<00:08, 1.66s/it] 87%|████████▋ | 26/30 [00:45<00:06, 1.64s/it] 90%|█████████ | 27/30 [00:47<00:04, 1.67s/it] 93%|█████████▎| 28/30 [00:48<00:03, 1.63s/it] 97%|█████████▋| 29/30 [00:49<00:01, 1.41s/it] 100%|██████████| 30/30 [00:50<00:00, 1.18s/it] 100%|██████████| 30/30 [00:50<00:00, 1.67s/it] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.9ms Speed: 4.9ms preprocess, 7.9ms inference, 31.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:09, 1.69it/s] 12%|█▏ | 2/17 [00:01<00:07, 2.02it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.21it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.32it/s] 29%|██▉ | 5/17 [00:02<00:04, 2.40it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.42it/s] 41%|████ | 7/17 [00:03<00:04, 2.40it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.45it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.55it/s] 59%|█████▉ | 10/17 [00:04<00:02, 2.58it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.56it/s] 71%|███████ | 12/17 [00:05<00:02, 2.44it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.51it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.49it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.57it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.99it/s] 100%|██████████| 17/17 [00:06<00:00, 3.61it/s] 100%|██████████| 17/17 [00:06<00:00, 2.61it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.6ms Speed: 3.0ms preprocess, 7.6ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.31it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.37it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.40it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.46it/s] 29%|██▉ | 5/17 [00:02<00:04, 2.50it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.52it/s] 41%|████ | 7/17 [00:02<00:04, 2.46it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.50it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.62it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.64it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.67it/s] 71%|███████ | 12/17 [00:04<00:01, 2.58it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.62it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.55it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.61it/s] 94%|█████████▍| 16/17 [00:06<00:00, 3.03it/s] 100%|██████████| 17/17 [00:06<00:00, 3.66it/s] 100%|██████████| 17/17 [00:06<00:00, 2.73it/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 0.43s Move latents to cpu... done in 0.21s 0: 640x640 1 face, 7.7ms Speed: 3.0ms preprocess, 7.7ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.35it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.30it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.37it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.45it/s] 29%|██▉ | 5/17 [00:02<00:04, 2.46it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.50it/s] 41%|████ | 7/17 [00:02<00:04, 2.42it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.47it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.60it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.61it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.64it/s] 71%|███████ | 12/17 [00:04<00:01, 2.57it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.62it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.59it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.67it/s] 94%|█████████▍| 16/17 [00:06<00:00, 3.08it/s] 100%|██████████| 17/17 [00:06<00:00, 3.71it/s] 100%|██████████| 17/17 [00:06<00:00, 2.73it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.2ms Speed: 2.9ms preprocess, 7.2ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.42it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.38it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.44it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.48it/s] 29%|██▉ | 5/17 [00:02<00:04, 2.52it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.54it/s] 41%|████ | 7/17 [00:02<00:04, 2.44it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.51it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.63it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.66it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.67it/s] 71%|███████ | 12/17 [00:04<00:01, 2.58it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.60it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.56it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.62it/s] 94%|█████████▍| 16/17 [00:06<00:00, 3.03it/s] 100%|██████████| 17/17 [00:06<00:00, 3.65it/s] 100%|██████████| 17/17 [00:06<00:00, 2.74it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.42it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.40it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.44it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.46it/s] 29%|██▉ | 5/17 [00:02<00:04, 2.49it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.53it/s] 41%|████ | 7/17 [00:02<00:04, 2.48it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.53it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.63it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.64it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.66it/s] 71%|███████ | 12/17 [00:04<00:01, 2.58it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.63it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.58it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.65it/s] 94%|█████████▍| 16/17 [00:06<00:00, 3.06it/s] 100%|██████████| 17/17 [00:06<00:00, 3.69it/s] 100%|██████████| 17/17 [00:06<00:00, 2.75it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.7ms Speed: 2.8ms preprocess, 7.7ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.39it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.37it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.45it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.49it/s] 29%|██▉ | 5/17 [00:02<00:04, 2.47it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.51it/s] 41%|████ | 7/17 [00:02<00:04, 2.46it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.51it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.60it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.63it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.64it/s] 71%|███████ | 12/17 [00:04<00:01, 2.57it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.61it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.57it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.61it/s] 94%|█████████▍| 16/17 [00:06<00:00, 3.03it/s] 100%|██████████| 17/17 [00:06<00:00, 3.65it/s] 100%|██████████| 17/17 [00:06<00:00, 2.73it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.1ms Speed: 2.7ms preprocess, 7.1ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.45it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.41it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.46it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.51it/s] 29%|██▉ | 5/17 [00:02<00:04, 2.49it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.53it/s] 41%|████ | 7/17 [00:02<00:04, 2.43it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.50it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.62it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.60it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.60it/s] 71%|███████ | 12/17 [00:04<00:01, 2.55it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.60it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.58it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.64it/s] 94%|█████████▍| 16/17 [00:06<00:00, 3.02it/s] 100%|██████████| 17/17 [00:06<00:00, 3.64it/s] 100%|██████████| 17/17 [00:06<00:00, 2.73it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.41it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.39it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.44it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.49it/s] 29%|██▉ | 5/17 [00:02<00:04, 2.49it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.53it/s] 41%|████ | 7/17 [00:02<00:04, 2.48it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.51it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.63it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.65it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.65it/s] 71%|███████ | 12/17 [00:04<00:01, 2.56it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.58it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.56it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.60it/s] 94%|█████████▍| 16/17 [00:06<00:00, 3.01it/s] 100%|██████████| 17/17 [00:06<00:00, 3.59it/s] 100%|██████████| 17/17 [00:06<00:00, 2.73it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.8ms Speed: 3.0ms preprocess, 7.8ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.43it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.36it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.44it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.49it/s] 29%|██▉ | 5/17 [00:02<00:04, 2.51it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.55it/s] 41%|████ | 7/17 [00:02<00:04, 2.49it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.54it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.62it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.64it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.66it/s] 71%|███████ | 12/17 [00:04<00:01, 2.58it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.58it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.57it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.63it/s] 94%|█████████▍| 16/17 [00:06<00:00, 3.05it/s] 100%|██████████| 17/17 [00:06<00:00, 3.68it/s] 100%|██████████| 17/17 [00:06<00:00, 2.74it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.2ms Speed: 2.9ms preprocess, 7.2ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.44it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.36it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.42it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.49it/s] 29%|██▉ | 5/17 [00:02<00:04, 2.52it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.53it/s] 41%|████ | 7/17 [00:02<00:04, 2.47it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.51it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.61it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.63it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.64it/s] 71%|███████ | 12/17 [00:04<00:01, 2.52it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.56it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.51it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.59it/s] 94%|█████████▍| 16/17 [00:06<00:00, 3.00it/s] 100%|██████████| 17/17 [00:06<00:00, 3.61it/s] 100%|██████████| 17/17 [00:06<00:00, 2.72it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
happy birthday, santa hat, holding a beer
negative_prompt
Specify things to not see in the output
((spiderman)), ((humans)), ((persons)), BadDream, UnrealisticDream, bad_prompt_version2-neg, ng_deepnegative_v1_75t, (worst quality, low quality), bad image
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
0.5
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3205526581
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
DPM++ 3M SDE Karras
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
7.5
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>
more_details.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
FaceBeauty_qinglong_V3.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)
BadDream.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad_prompt_version2-neg.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/853447da8e5e4140aa2430249ebb0e33/00000-3205526581.webp
https://files.tungsten.run/uploads/3139277570474a37a75bd19596814864/00001-3205526582.webp
https://files.tungsten.run/uploads/158698013ebb474197f6e18847096e46/00002-3205526583.webp
https://files.tungsten.run/uploads/6fca773277a9426ca96d837c65d96e6a/00003-3205526584.webp
Finished in 137.2 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: happy birthday, santa hat, holding a beer, <lora:add_saturation:0.5> Full negative prompt: ((spiderman)), ((humans)), ((persons)), BadDream, UnrealisticDream, bad_prompt_version2-neg, ng_deepnegative_v1_75t, (worst quality, low quality), bad image 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:50, 1.74s/it] 7%|▋ | 2/30 [00:03<00:52, 1.89s/it] 10%|█ | 3/30 [00:05<00:50, 1.87s/it] 13%|█▎ | 4/30 [00:07<00:47, 1.84s/it] 17%|█▋ | 5/30 [00:09<00:46, 1.85s/it] 20%|██ | 6/30 [00:11<00:44, 1.84s/it] 23%|██▎ | 7/30 [00:12<00:42, 1.84s/it] 27%|██▋ | 8/30 [00:14<00:40, 1.84s/it] 30%|███ | 9/30 [00:16<00:37, 1.79s/it] 33%|███▎ | 10/30 [00:18<00:36, 1.82s/it] 37%|███▋ | 11/30 [00:20<00:33, 1.78s/it] 40%|████ | 12/30 [00:21<00:32, 1.79s/it] 43%|████▎ | 13/30 [00:23<00:29, 1.76s/it] 47%|████▋ | 14/30 [00:25<00:28, 1.77s/it] 50%|█████ | 15/30 [00:27<00:26, 1.78s/it] 53%|█████▎ | 16/30 [00:28<00:24, 1.76s/it] 57%|█████▋ | 17/30 [00:30<00:22, 1.75s/it] 60%|██████ | 18/30 [00:32<00:20, 1.73s/it] 63%|██████▎ | 19/30 [00:33<00:18, 1.70s/it] 67%|██████▋ | 20/30 [00:35<00:17, 1.73s/it] 70%|███████ | 21/30 [00:37<00:15, 1.71s/it] 73%|███████▎ | 22/30 [00:38<00:13, 1.64s/it] 77%|███████▋ | 23/30 [00:40<00:11, 1.63s/it] 80%|████████ | 24/30 [00:41<00:09, 1.62s/it] 83%|████████▎ | 25/30 [00:43<00:08, 1.66s/it] 87%|████████▋ | 26/30 [00:45<00:06, 1.64s/it] 90%|█████████ | 27/30 [00:47<00:04, 1.67s/it] 93%|█████████▎| 28/30 [00:48<00:03, 1.63s/it] 97%|█████████▋| 29/30 [00:49<00:01, 1.41s/it] 100%|██████████| 30/30 [00:50<00:00, 1.18s/it] 100%|██████████| 30/30 [00:50<00:00, 1.67s/it] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.9ms Speed: 4.9ms preprocess, 7.9ms inference, 31.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:09, 1.69it/s] 12%|█▏ | 2/17 [00:01<00:07, 2.02it/s] 18%|█▊ | 3/17 [00:01<00:06, 2.21it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.32it/s] 29%|██▉ | 5/17 [00:02<00:04, 2.40it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.42it/s] 41%|████ | 7/17 [00:03<00:04, 2.40it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.45it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.55it/s] 59%|█████▉ | 10/17 [00:04<00:02, 2.58it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.56it/s] 71%|███████ | 12/17 [00:05<00:02, 2.44it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.51it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.49it/s] 88%|████████▊ | 15/17 [00:06<00:00, 2.57it/s] 94%|█████████▍| 16/17 [00:06<00:00, 2.99it/s] 100%|██████████| 17/17 [00:06<00:00, 3.61it/s] 100%|██████████| 17/17 [00:06<00:00, 2.61it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.6ms Speed: 3.0ms preprocess, 7.6ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.31it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.37it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.40it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.46it/s] 29%|██▉ | 5/17 [00:02<00:04, 2.50it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.52it/s] 41%|████ | 7/17 [00:02<00:04, 2.46it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.50it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.62it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.64it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.67it/s] 71%|███████ | 12/17 [00:04<00:01, 2.58it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.62it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.55it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.61it/s] 94%|█████████▍| 16/17 [00:06<00:00, 3.03it/s] 100%|██████████| 17/17 [00:06<00:00, 3.66it/s] 100%|██████████| 17/17 [00:06<00:00, 2.73it/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 0.43s Move latents to cpu... done in 0.21s 0: 640x640 1 face, 7.7ms Speed: 3.0ms preprocess, 7.7ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.35it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.30it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.37it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.45it/s] 29%|██▉ | 5/17 [00:02<00:04, 2.46it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.50it/s] 41%|████ | 7/17 [00:02<00:04, 2.42it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.47it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.60it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.61it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.64it/s] 71%|███████ | 12/17 [00:04<00:01, 2.57it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.62it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.59it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.67it/s] 94%|█████████▍| 16/17 [00:06<00:00, 3.08it/s] 100%|██████████| 17/17 [00:06<00:00, 3.71it/s] 100%|██████████| 17/17 [00:06<00:00, 2.73it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.2ms Speed: 2.9ms preprocess, 7.2ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.42it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.38it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.44it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.48it/s] 29%|██▉ | 5/17 [00:02<00:04, 2.52it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.54it/s] 41%|████ | 7/17 [00:02<00:04, 2.44it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.51it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.63it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.66it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.67it/s] 71%|███████ | 12/17 [00:04<00:01, 2.58it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.60it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.56it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.62it/s] 94%|█████████▍| 16/17 [00:06<00:00, 3.03it/s] 100%|██████████| 17/17 [00:06<00:00, 3.65it/s] 100%|██████████| 17/17 [00:06<00:00, 2.74it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.42it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.40it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.44it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.46it/s] 29%|██▉ | 5/17 [00:02<00:04, 2.49it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.53it/s] 41%|████ | 7/17 [00:02<00:04, 2.48it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.53it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.63it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.64it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.66it/s] 71%|███████ | 12/17 [00:04<00:01, 2.58it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.63it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.58it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.65it/s] 94%|█████████▍| 16/17 [00:06<00:00, 3.06it/s] 100%|██████████| 17/17 [00:06<00:00, 3.69it/s] 100%|██████████| 17/17 [00:06<00:00, 2.75it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.7ms Speed: 2.8ms preprocess, 7.7ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.39it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.37it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.45it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.49it/s] 29%|██▉ | 5/17 [00:02<00:04, 2.47it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.51it/s] 41%|████ | 7/17 [00:02<00:04, 2.46it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.51it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.60it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.63it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.64it/s] 71%|███████ | 12/17 [00:04<00:01, 2.57it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.61it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.57it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.61it/s] 94%|█████████▍| 16/17 [00:06<00:00, 3.03it/s] 100%|██████████| 17/17 [00:06<00:00, 3.65it/s] 100%|██████████| 17/17 [00:06<00:00, 2.73it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.1ms Speed: 2.7ms preprocess, 7.1ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.45it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.41it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.46it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.51it/s] 29%|██▉ | 5/17 [00:02<00:04, 2.49it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.53it/s] 41%|████ | 7/17 [00:02<00:04, 2.43it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.50it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.62it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.60it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.60it/s] 71%|███████ | 12/17 [00:04<00:01, 2.55it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.60it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.58it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.64it/s] 94%|█████████▍| 16/17 [00:06<00:00, 3.02it/s] 100%|██████████| 17/17 [00:06<00:00, 3.64it/s] 100%|██████████| 17/17 [00:06<00:00, 2.73it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.41it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.39it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.44it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.49it/s] 29%|██▉ | 5/17 [00:02<00:04, 2.49it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.53it/s] 41%|████ | 7/17 [00:02<00:04, 2.48it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.51it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.63it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.65it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.65it/s] 71%|███████ | 12/17 [00:04<00:01, 2.56it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.58it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.56it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.60it/s] 94%|█████████▍| 16/17 [00:06<00:00, 3.01it/s] 100%|██████████| 17/17 [00:06<00:00, 3.59it/s] 100%|██████████| 17/17 [00:06<00:00, 2.73it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.8ms Speed: 3.0ms preprocess, 7.8ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.43it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.36it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.44it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.49it/s] 29%|██▉ | 5/17 [00:02<00:04, 2.51it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.55it/s] 41%|████ | 7/17 [00:02<00:04, 2.49it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.54it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.62it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.64it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.66it/s] 71%|███████ | 12/17 [00:04<00:01, 2.58it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.58it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.57it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.63it/s] 94%|█████████▍| 16/17 [00:06<00:00, 3.05it/s] 100%|██████████| 17/17 [00:06<00:00, 3.68it/s] 100%|██████████| 17/17 [00:06<00:00, 2.74it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.2ms Speed: 2.9ms preprocess, 7.2ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.44it/s] 12%|█▏ | 2/17 [00:00<00:06, 2.36it/s] 18%|█▊ | 3/17 [00:01<00:05, 2.42it/s] 24%|██▎ | 4/17 [00:01<00:05, 2.49it/s] 29%|██▉ | 5/17 [00:02<00:04, 2.52it/s] 35%|███▌ | 6/17 [00:02<00:04, 2.53it/s] 41%|████ | 7/17 [00:02<00:04, 2.47it/s] 47%|████▋ | 8/17 [00:03<00:03, 2.51it/s] 53%|█████▎ | 9/17 [00:03<00:03, 2.61it/s] 59%|█████▉ | 10/17 [00:03<00:02, 2.63it/s] 65%|██████▍ | 11/17 [00:04<00:02, 2.64it/s] 71%|███████ | 12/17 [00:04<00:01, 2.52it/s] 76%|███████▋ | 13/17 [00:05<00:01, 2.56it/s] 82%|████████▏ | 14/17 [00:05<00:01, 2.51it/s] 88%|████████▊ | 15/17 [00:05<00:00, 2.59it/s] 94%|█████████▍| 16/17 [00:06<00:00, 3.00it/s] 100%|██████████| 17/17 [00:06<00:00, 3.61it/s] 100%|██████████| 17/17 [00:06<00:00, 2.72it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s Uploading outputs... Finished.