#风景[超话]#
不用晕船!一篇文章告诉你9-10月蕞好观鲸点!
Hello宝子们,悉尼的宝子是幸运的哈!我们不用特别远行就能观赏到鲸鱼迁徙。
9-10月是蕞后的时间~天气也很暖和~!大家都出去走走♀️吧!(部分地区之前发过游玩攻略的,合集)
——
Hornby Lighthouse
Watsons Bay
-
Ben Buckler Point
Bondi Beach
-
Bare Island
La Perouse
-
Burragala Lookout
North Head
-
The Gap
Watsons Bay
-
The Bondi to Coogee Walk
Bondi-Coogee
-
Barrenjoey Headland
Palm Beach
-
Long Reef Point
Collaroy
-
The Coast Track
Royal National Park
-
Mala疤r Headland National Park
Anzac Parade, Mala疤r NSW 2036
这些地方都超美的,即便是去徒步和欣赏美景都值得!
#沿途的风景##风景#
不用晕船!一篇文章告诉你9-10月蕞好观鲸点!
Hello宝子们,悉尼的宝子是幸运的哈!我们不用特别远行就能观赏到鲸鱼迁徙。
9-10月是蕞后的时间~天气也很暖和~!大家都出去走走♀️吧!(部分地区之前发过游玩攻略的,合集)
——
Hornby Lighthouse
Watsons Bay
-
Ben Buckler Point
Bondi Beach
-
Bare Island
La Perouse
-
Burragala Lookout
North Head
-
The Gap
Watsons Bay
-
The Bondi to Coogee Walk
Bondi-Coogee
-
Barrenjoey Headland
Palm Beach
-
Long Reef Point
Collaroy
-
The Coast Track
Royal National Park
-
Mala疤r Headland National Park
Anzac Parade, Mala疤r NSW 2036
这些地方都超美的,即便是去徒步和欣赏美景都值得!
#沿途的风景##风景#
AIGC text to image
prompt = "A collage of four images, each showing a different type of storm. The first image shows a satellite view of \
a hurricane over the ocean, with swirling clouds and a visible eye. The second image shows a tornado touching down on a \
rural landscape, with debris flying in the air. The third image shows a blizzard covering a city in snow, with strong \
winds and low visibility. The fourth image shows a thunderstorm over a mountain range, \
with lightning bolts and dark clouds."
image = pipe(prompt, num_inference_steps=4, guidance_scale=8.0).images[0]
image
-------------
sdxl_lcm_diffusers_colab.ipynb
ttps://colab.research.google.com/github/camenduru/latent-consistency-model-colab/blob/main/sdxl_lcm_diffusers_colab.ipynb
!pip install -q diffusers transformers accelerate peft
from diffusers import UNet2DConditionModel, DiffusionPipeline, LCMScheduler
import torch
unet = UNet2DConditionModel.from_pretrained("latent-consistency/lcm-sdxl", torch_dtype=torch.float16, variant="fp16")
pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", unet=unet, torch_dtype=torch.float16, variant="fp16")
pipe.scheduler = LCMScheduler.from_config(pipe.scheduler.config)
pipe.to("cuda")
prompt = "A collage of four images, each showing a different type of storm. The first image shows a satellite view of \
a hurricane over the ocean, with swirling clouds and a visible eye. The second image shows a tornado touching down on a \
rural landscape, with debris flying in the air. The third image shows a blizzard covering a city in snow, with strong \
winds and low visibility. The fourth image shows a thunderstorm over a mountain range, \
with lightning bolts and dark clouds."
image = pipe(prompt, num_inference_steps=4, guidance_scale=8.0).images[0]
image
-------------
sdxl_lcm_diffusers_colab.ipynb
ttps://colab.research.google.com/github/camenduru/latent-consistency-model-colab/blob/main/sdxl_lcm_diffusers_colab.ipynb
!pip install -q diffusers transformers accelerate peft
from diffusers import UNet2DConditionModel, DiffusionPipeline, LCMScheduler
import torch
unet = UNet2DConditionModel.from_pretrained("latent-consistency/lcm-sdxl", torch_dtype=torch.float16, variant="fp16")
pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", unet=unet, torch_dtype=torch.float16, variant="fp16")
pipe.scheduler = LCMScheduler.from_config(pipe.scheduler.config)
pipe.to("cuda")
新设备:表面活性化接合装置;制造商:日本制造商
实现了在常温下能得到块状破坏强度的晶圆接合。从研究开发用接合装置到量产用接合装置都有对应。在晶圆级封装、三维安装等广泛领域使用。
SAB-60R简介:SAB-60R是一种在真空中输送晶片,对准后可接合的批量生产用表面活性化接合装置。采用盒式磁带to盒式磁带方式,接合后晶片被搬送到搬出用盒式磁带上。对准可以选择使用外形对准和标记的方式。
实现了在常温下能得到块状破坏强度的晶圆接合。从研究开发用接合装置到量产用接合装置都有对应。在晶圆级封装、三维安装等广泛领域使用。
SAB-60R简介:SAB-60R是一种在真空中输送晶片,对准后可接合的批量生产用表面活性化接合装置。采用盒式磁带to盒式磁带方式,接合后晶片被搬送到搬出用盒式磁带上。对准可以选择使用外形对准和标记的方式。
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