Cute Girls & Balloons with Mix Realistic
Input
prompt
Specify things to see in the output
A girl sitting on a giant ice cream, which is adorned with vibrant colors, delightful frosting, and rainbow sprinkles. She holds an oversized waffle cone,shimmering candies. Floating around her are some small balloons, each tied to a petite candy. The scene is filled with sweetness and joy, showcasing the girl's happiness and the enchanting fusion of her imagination and a fantastical world,fantasy, high contrast, ink strokes, explosions, over exposure, purple and red tone impression , abstract, ((watercolor painting by John Berkey and Jeremy Mann )) brush strokes, negative space, <lora:FaceBeauty_qinglong_V3:1>, <lora:more_details:0.7>
negative_prompt
Specify things to not see in the output
EasyNegativeV2, ng_deepnegative_v1_75t, (worst quality:2), (low quality:2), (normal quality:2), lowres,bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)), ((watermark)),
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
false
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.
3278957224
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++ 2M Karras
samping_steps
Number of denoising steps
35
cfg_scale
Scale for classifier-free guidance
8.5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
clearvae_v2.3_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/36d89e7e939644589e28ba25cc482f2e/00000-3278957224.webp
https://files.tungsten.run/uploads/765014c63bdb4d4380aca89d5e553c4f/00001-3278957225.webp
https://files.tungsten.run/uploads/095496b727fd4356ab1713e161c37426/00002-3278957226.webp
https://files.tungsten.run/uploads/87f17f427ac74a6fab114ca4f7ffd8f8/00003-3278957227.webp
Finished in 46.6 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: A girl sitting on a giant ice cream, which is adorned with vibrant colors, delightful frosting, and rainbow sprinkles. She holds an oversized waffle cone,shimmering candies. Floating around her are some small balloons, each tied to a petite candy. The scene is filled with sweetness and joy, showcasing the girl's happiness and the enchanting fusion of her imagination and a fantastical world,fantasy, high contrast, ink strokes, explosions, over exposure, purple and red tone impression , abstract, ((watercolor painting by John Berkey and Jeremy Mann )) brush strokes, negative space, <lora:FaceBeauty_qinglong_V3:1>, <lora:more_details:0.7> Full negative prompt: EasyNegativeV2, ng_deepnegative_v1_75t, (worst quality:2), (low quality:2), (normal quality:2), lowres,bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)), ((watermark)), 0%| | 0/35 [00:00<?, ?it/s] 3%|▎ | 1/35 [00:00<00:20, 1.64it/s] 6%|▌ | 2/35 [00:01<00:20, 1.59it/s] 9%|▊ | 3/35 [00:01<00:19, 1.60it/s] 11%|█▏ | 4/35 [00:02<00:19, 1.58it/s] 14%|█▍ | 5/35 [00:03<00:18, 1.58it/s] 17%|█▋ | 6/35 [00:03<00:18, 1.58it/s] 20%|██ | 7/35 [00:04<00:17, 1.57it/s] 23%|██▎ | 8/35 [00:05<00:17, 1.57it/s] 26%|██▌ | 9/35 [00:05<00:16, 1.57it/s] 29%|██▊ | 10/35 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prompt
Specify things to see in the output
A girl sitting on a giant ice cream, which is adorned with vibrant colors, delightful frosting, and rainbow sprinkles. She holds an oversized waffle cone,shimmering candies. Floating around her are some small balloons, each tied to a petite candy. The scene is filled with sweetness and joy, showcasing the girl's happiness and the enchanting fusion of her imagination and a fantastical world,fantasy, high contrast, ink strokes, explosions, over exposure, purple and red tone impression , abstract, ((watercolor painting by John Berkey and Jeremy Mann )) brush strokes, negative space, <lora:FaceBeauty_qinglong_V3:1>, <lora:more_details:0.7>
negative_prompt
Specify things to not see in the output
EasyNegativeV2, ng_deepnegative_v1_75t, (worst quality:2), (low quality:2), (normal quality:2), lowres,bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)), ((watermark)),
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
false
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.
3278957224
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++ 2M Karras
samping_steps
Number of denoising steps
35
cfg_scale
Scale for classifier-free guidance
8.5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
clearvae_v2.3_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/36d89e7e939644589e28ba25cc482f2e/00000-3278957224.webp
https://files.tungsten.run/uploads/765014c63bdb4d4380aca89d5e553c4f/00001-3278957225.webp
https://files.tungsten.run/uploads/095496b727fd4356ab1713e161c37426/00002-3278957226.webp
https://files.tungsten.run/uploads/87f17f427ac74a6fab114ca4f7ffd8f8/00003-3278957227.webp
Finished in 46.6 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: A girl sitting on a giant ice cream, which is adorned with vibrant colors, delightful frosting, and rainbow sprinkles. She holds an oversized waffle cone,shimmering candies. Floating around her are some small balloons, each tied to a petite candy. The scene is filled with sweetness and joy, showcasing the girl's happiness and the enchanting fusion of her imagination and a fantastical world,fantasy, high contrast, ink strokes, explosions, over exposure, purple and red tone impression , abstract, ((watercolor painting by John Berkey and Jeremy Mann )) brush strokes, negative space, <lora:FaceBeauty_qinglong_V3:1>, <lora:more_details:0.7> Full negative prompt: EasyNegativeV2, ng_deepnegative_v1_75t, (worst quality:2), (low quality:2), (normal quality:2), lowres,bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)), ((watermark)), 0%| | 0/35 [00:00<?, ?it/s] 3%|▎ | 1/35 [00:00<00:20, 1.64it/s] 6%|▌ | 2/35 [00:01<00:20, 1.59it/s] 9%|▊ | 3/35 [00:01<00:19, 1.60it/s] 11%|█▏ | 4/35 [00:02<00:19, 1.58it/s] 14%|█▍ | 5/35 [00:03<00:18, 1.58it/s] 17%|█▋ | 6/35 [00:03<00:18, 1.58it/s] 20%|██ | 7/35 [00:04<00:17, 1.57it/s] 23%|██▎ | 8/35 [00:05<00:17, 1.57it/s] 26%|██▌ | 9/35 [00:05<00:16, 1.57it/s] 29%|██▊ | 10/35 [00:06<00:15, 1.57it/s] 31%|███▏ | 11/35 [00:06<00:15, 1.57it/s] 34%|███▍ | 12/35 [00:07<00:14, 1.56it/s] 37%|███▋ | 13/35 [00:08<00:14, 1.57it/s] 40%|████ | 14/35 [00:08<00:13, 1.56it/s] 43%|████▎ | 15/35 [00:09<00:12, 1.56it/s] 46%|████▌ | 16/35 [00:10<00:12, 1.56it/s] 49%|████▊ | 17/35 [00:10<00:11, 1.56it/s] 51%|█████▏ | 18/35 [00:11<00:10, 1.56it/s] 54%|█████▍ | 19/35 [00:12<00:10, 1.55it/s] 57%|█████▋ | 20/35 [00:12<00:09, 1.55it/s] 60%|██████ | 21/35 [00:13<00:08, 1.56it/s] 63%|██████▎ | 22/35 [00:14<00:08, 1.55it/s] 66%|██████▌ | 23/35 [00:14<00:07, 1.55it/s] 69%|██████▊ | 24/35 [00:15<00:07, 1.55it/s] 71%|███████▏ | 25/35 [00:15<00:06, 1.55it/s] 74%|███████▍ | 26/35 [00:16<00:05, 1.54it/s] 77%|███████▋ | 27/35 [00:17<00:05, 1.55it/s] 80%|████████ | 28/35 [00:17<00:04, 1.54it/s] 83%|████████▎ | 29/35 [00:18<00:03, 1.54it/s] 86%|████████▌ | 30/35 [00:19<00:03, 1.55it/s] 89%|████████▊ | 31/35 [00:19<00:02, 1.54it/s] 91%|█████████▏| 32/35 [00:20<00:01, 1.54it/s] 94%|█████████▍| 33/35 [00:21<00:01, 1.54it/s] 97%|█████████▋| 34/35 [00:21<00:00, 1.53it/s] 100%|██████████| 35/35 [00:22<00:00, 1.54it/s] 100%|██████████| 35/35 [00:22<00:00, 1.56it/s] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.01s 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:03, 4.76it/s] 10%|█ | 2/20 [00:00<00:03, 4.79it/s] 15%|█▌ | 3/20 [00:00<00:03, 4.82it/s] 20%|██ | 4/20 [00:00<00:03, 4.70it/s] 25%|██▌ | 5/20 [00:01<00:03, 4.78it/s] 30%|███ | 6/20 [00:01<00:02, 4.84it/s] 35%|███▌ | 7/20 [00:01<00:02, 4.86it/s] 40%|████ | 8/20 [00:01<00:02, 4.86it/s] 45%|████▌ | 9/20 [00:01<00:02, 4.86it/s] 50%|█████ | 10/20 [00:02<00:02, 4.86it/s] 55%|█████▌ | 11/20 [00:02<00:01, 4.85it/s] 60%|██████ | 12/20 [00:02<00:01, 4.85it/s] 65%|██████▌ | 13/20 [00:02<00:01, 4.83it/s] 70%|███████ | 14/20 [00:02<00:01, 4.82it/s] 75%|███████▌ | 15/20 [00:03<00:01, 4.82it/s] 80%|████████ | 16/20 [00:03<00:00, 4.81it/s] 85%|████████▌ | 17/20 [00:03<00:00, 4.82it/s] 90%|█████████ | 18/20 [00:03<00:00, 4.85it/s] 95%|█████████▌| 19/20 [00:03<00:00, 4.83it/s] 100%|██████████| 20/20 [00:04<00:00, 4.84it/s] 100%|██████████| 20/20 [00:04<00:00, 4.83it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:03, 4.91it/s] 10%|█ | 2/20 [00:00<00:03, 4.82it/s] 15%|█▌ | 3/20 [00:00<00:03, 4.83it/s] 20%|██ | 4/20 [00:00<00:03, 4.64it/s] 25%|██▌ | 5/20 [00:01<00:03, 4.72it/s] 30%|███ | 6/20 [00:01<00:02, 4.78it/s] 35%|███▌ | 7/20 [00:01<00:02, 4.82it/s] 40%|████ | 8/20 [00:01<00:02, 4.79it/s] 45%|████▌ | 9/20 [00:01<00:02, 4.81it/s] 50%|█████ | 10/20 [00:02<00:02, 4.82it/s] 55%|█████▌ | 11/20 [00:02<00:01, 4.83it/s] 60%|██████ | 12/20 [00:02<00:01, 4.76it/s] 65%|██████▌ | 13/20 [00:02<00:01, 4.76it/s] 70%|███████ | 14/20 [00:02<00:01, 4.77it/s] 75%|███████▌ | 15/20 [00:03<00:01, 4.76it/s] 80%|████████ | 16/20 [00:03<00:00, 4.80it/s] 85%|████████▌ | 17/20 [00:03<00:00, 4.79it/s] 90%|█████████ | 18/20 [00:03<00:00, 4.81it/s] 95%|█████████▌| 19/20 [00:03<00:00, 4.82it/s] 100%|██████████| 20/20 [00:04<00:00, 4.83it/s] 100%|██████████| 20/20 [00:04<00:00, 4.79it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:03, 4.83it/s] 10%|█ | 2/20 [00:00<00:03, 4.83it/s] 15%|█▌ | 3/20 [00:00<00:03, 4.85it/s] 20%|██ | 4/20 [00:00<00:03, 4.88it/s] 25%|██▌ | 5/20 [00:01<00:03, 4.88it/s] 30%|███ | 6/20 [00:01<00:02, 4.91it/s] 35%|███▌ | 7/20 [00:01<00:02, 4.91it/s] 40%|████ | 8/20 [00:01<00:02, 4.89it/s] 45%|████▌ | 9/20 [00:01<00:02, 4.91it/s] 50%|█████ | 10/20 [00:02<00:02, 4.93it/s] 55%|█████▌ | 11/20 [00:02<00:01, 4.94it/s] 60%|██████ | 12/20 [00:02<00:01, 4.94it/s] 65%|██████▌ | 13/20 [00:02<00:01, 4.90it/s] 70%|███████ | 14/20 [00:02<00:01, 4.89it/s] 75%|███████▌ | 15/20 [00:03<00:01, 4.92it/s] 80%|████████ | 16/20 [00:03<00:00, 4.94it/s] 85%|████████▌ | 17/20 [00:03<00:00, 4.95it/s] 90%|█████████ | 18/20 [00:03<00:00, 4.94it/s] 95%|█████████▌| 19/20 [00:03<00:00, 4.91it/s] 100%|██████████| 20/20 [00:04<00:00, 4.87it/s] 100%|██████████| 20/20 [00:04<00:00, 4.90it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:04, 4.70it/s] 10%|█ | 2/20 [00:00<00:03, 4.71it/s] 15%|█▌ | 3/20 [00:00<00:03, 4.69it/s] 20%|██ | 4/20 [00:00<00:03, 4.73it/s] 25%|██▌ | 5/20 [00:01<00:03, 4.81it/s] 30%|███ | 6/20 [00:01<00:02, 4.82it/s] 35%|███▌ | 7/20 [00:01<00:02, 4.86it/s] 40%|████ | 8/20 [00:01<00:02, 4.74it/s] 45%|████▌ | 9/20 [00:01<00:02, 4.78it/s] 50%|█████ | 10/20 [00:02<00:02, 4.82it/s] 55%|█████▌ | 11/20 [00:02<00:01, 4.84it/s] 60%|██████ | 12/20 [00:02<00:01, 4.87it/s] 65%|██████▌ | 13/20 [00:02<00:01, 4.81it/s] 70%|███████ | 14/20 [00:02<00:01, 4.85it/s] 75%|███████▌ | 15/20 [00:03<00:01, 4.87it/s] 80%|████████ | 16/20 [00:03<00:00, 4.90it/s] 85%|████████▌ | 17/20 [00:03<00:00, 4.92it/s] 90%|█████████ | 18/20 [00:03<00:00, 4.89it/s] 95%|█████████▌| 19/20 [00:03<00:00, 4.91it/s] 100%|██████████| 20/20 [00:04<00:00, 4.91it/s] 100%|██████████| 20/20 [00:04<00:00, 4.84it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Finished.