[ . * * . ]
01 · BABYMONSTER「Stuck In The Middle」回归预热
04 · YOUNG POSSE「YOUNG POSSE UP」回归
05 · ICHILLIN'「DEMIGOD」回归预热
07 · KELT9b「GET YA」出道预热
19 · LE SSERAFIM「EASY」回归
20 · TRI.BE「Diamond」回归
23 · TWICE「With YOU-th」回归
25 · X:IN「THE REAL」回归
27 · H1-KEY「Deeper」回归
29 · RESCENE「YoYo」出道预热
* 持续更新至月末,同日回归则依照出道顺序排定先后.
【3月已宣阵容:ICHILLIN',UNIS,WiTCHX,I'LL-IT,RESCENE,VVUP】
01 · BABYMONSTER「Stuck In The Middle」回归预热
04 · YOUNG POSSE「YOUNG POSSE UP」回归
05 · ICHILLIN'「DEMIGOD」回归预热
07 · KELT9b「GET YA」出道预热
19 · LE SSERAFIM「EASY」回归
20 · TRI.BE「Diamond」回归
23 · TWICE「With YOU-th」回归
25 · X:IN「THE REAL」回归
27 · H1-KEY「Deeper」回归
29 · RESCENE「YoYo」出道预热
* 持续更新至月末,同日回归则依照出道顺序排定先后.
【3月已宣阵容:ICHILLIN',UNIS,WiTCHX,I'LL-IT,RESCENE,VVUP】
本来是在远古广告里磕糖，结果这都能看到某海南ip的all太男粉，能看出来你真的挺恨光美的[太开心]至少在2021年开始就在贴吧b站到处出警光美不是官配，说01五个男生中光子郎和美美是最不合适的。雷光美说光美党到处ky但自己在各个光美cp视频下提了好几嘴太一；冷嘲热讽tri推光美，但作为平行世界的冒号却能让你yy出美美喜欢太一；踩光美还不够还要把岳光拽出来莫名其妙跟岳光党说“八神光不喜欢高石岳”。说光子郎拿女主剧本的是你，把光美党挂出来说“行行行你家哥哥（指光子郎）世界第一”的也是你。见♂能不能把自己藏好了，让人发现你是个把男主投射到自己身上现实中却是个一无所有的废物男也不嫌害臊[微笑]
以下code 有沒有錯,或者,待優化之處?
#存储库克隆到你的 Google Colab Notebook
!git clone https://t.cn/A6NRWmuS
#进入 shap-e目录并安装依赖包：
%cd shap-e
!pip install -e .
#导入所有必需的库
import torch
from shap_e.diffusion.sample import sample_latents
from shap_e.diffusion.gaussian_diffusion import diffusion_from_config
from shap_e.models.download import load_model, load_config
from shap_e.util.notebooks import create_pan_cameras, decode_latent_images, gif_widget
#将设备设置为 cuda（如果可用），否则设置为 cpu。
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
#加载模型和权重。
xm = load_model('transmitter', device=device)
model = load_model('text300M', device=device)
diffusion = diffusion_from_config(load_config('diffusion'))
#在这里我们将生成 3D 模型。
batch_size = 1 # this is the size of the models, higher values take longer to generate.
guidance_scale = 15.0 # this is the scale of the guidance, higher values make the model look more like the prompt.
prompt = "A mystical sword with a slender, gleaming blade is adorned with intricate designs. It emits a soft glow illuminating the dark, starry cosmos that serves as its backdrop." # this is the prompt, you can change this to anything you want.
latents = sample_latents(
batch_size=batch_size,
model=model,
diffusion=diffusion,
guidance_scale=guidance_scale,
model_kwargs=dict(texts=[prompt] * batch_size),
progress=True,
clip_denoised=True,
use_fp16=True,
use_karras=True,
karras_steps=64,
sigma_min=1E-3,
sigma_max=160,
s_churn=0,
)
#渲染 3D 模型，使用 render_mode = 'nerf' 神经辐射场 (NeRF) 来渲染 3D 模型。 你可以将其更改为 render_mode = 'stf' 以使用风格传递函数 (STF) 渲染模式渲染 3D 模型。
render_mode = 'nerf' # you can change this to 'stf'
size = 64 # this is the size of the renders, higher values take longer to render.
cameras = create_pan_cameras(size, device)
for i, latent in enumerate(latents):
images = decode_latent_images(xm, latent, cameras, rendering_mode=render_mode)
display(gif_widget(images))
#将 3D 模型保存为 .ply 和 .obj 文件。注意： .obj，稍后我们将使用它在 Blender Studio 中进行自定义。
# Example of saving the latents as meshes.
from shap_e.util.notebooks import decode_latent_mesh
for i, latent in enumerate(latents):
t = decode_latent_mesh(xm, latent).tri_mesh()
with open(f'example_mesh_{i}.ply', 'wb') as f: # this is three-dimensional geometric data of model.
t.write_ply(f)
with open(f'example_mesh_{i}.obj', 'w') as f: # we will use this file to customize in Blender Studio later.
t.write_obj(f)
# Clone the repo.
!git clone https://t.cn/A6jX18IT
%cd /content/camp_zipnerf
# Make a conda environment.
!conda create --name camp_zipnerf python=3.11
!conda activate camp_zipnerf
# Prepare pip.
!conda install pip
!pip install --upgrade pip
# Install requirements.
!pip install -r requirements.txt
# Manually install rmbrualla's `pycolmap` (don't use pip's! It's different).
!git clone https://t.cn/A6jX18IH ./internal/pycolmap
# Confirm that all the unit tests pass.
!./scripts/run_all_unit_tests.sh
%cd /content
!git clone -b dev https://t.cn/A6jX0dU6
!git clone -b dev https://t.cn/A6jX0dUJ
%cd /content/threefiner
!pip install .
%cd /content/3DTopia
!apt -y install -qq aria2
!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://t.cn/A6jX0dUS -d /content/3DTopia/checkpoints -o 3dtopia_diffusion_state_dict.ckpt
!pip install -q pymcubes trimesh pytorch_lightning omegaconf einops wandb git+https://t.cn/A6qBislP kornia open-clip-torch
!pip install -q https://t.cn/A6jX0dUK
!pip install -q https://t.cn/A6jX0dUi
!pip install -q threefiner
# stage 2 - step 1
!threefiner sd --mesh results/default/stage1/example_mesh_0.ply --prompt "A mystical sword with a slender, gleaming blade is adorned with intricate designs. It emits a soft glow illuminating the dark, starry cosmos that serves as its backdrop." --text_dir --front_dir='-y' --outdir results/default/stage2/ --save A_mystical_sword_1_0_sd.glb --force_cuda_rast
# stage 2 - step 2
!threefiner if2 --mesh results/default/stage2/A_mystical_sword_1_0_sd.glb --prompt "A mystical sword with a slender, gleaming blade is adorned with intricate designs. It emits a soft glow illuminating the dark, starry cosmos that serves as its backdrop." --outdir results/default/stage2/ --save A_mystical_sword_1_0_if2.glb --force_cuda_rast
#存储库克隆到你的 Google Colab Notebook
!git clone https://t.cn/A6NRWmuS
#进入 shap-e目录并安装依赖包：
%cd shap-e
!pip install -e .
#导入所有必需的库
import torch
from shap_e.diffusion.sample import sample_latents
from shap_e.diffusion.gaussian_diffusion import diffusion_from_config
from shap_e.models.download import load_model, load_config
from shap_e.util.notebooks import create_pan_cameras, decode_latent_images, gif_widget
#将设备设置为 cuda（如果可用），否则设置为 cpu。
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
#加载模型和权重。
xm = load_model('transmitter', device=device)
model = load_model('text300M', device=device)
diffusion = diffusion_from_config(load_config('diffusion'))
#在这里我们将生成 3D 模型。
batch_size = 1 # this is the size of the models, higher values take longer to generate.
guidance_scale = 15.0 # this is the scale of the guidance, higher values make the model look more like the prompt.
prompt = "A mystical sword with a slender, gleaming blade is adorned with intricate designs. It emits a soft glow illuminating the dark, starry cosmos that serves as its backdrop." # this is the prompt, you can change this to anything you want.
latents = sample_latents(
batch_size=batch_size,
model=model,
diffusion=diffusion,
guidance_scale=guidance_scale,
model_kwargs=dict(texts=[prompt] * batch_size),
progress=True,
clip_denoised=True,
use_fp16=True,
use_karras=True,
karras_steps=64,
sigma_min=1E-3,
sigma_max=160,
s_churn=0,
)
#渲染 3D 模型，使用 render_mode = 'nerf' 神经辐射场 (NeRF) 来渲染 3D 模型。 你可以将其更改为 render_mode = 'stf' 以使用风格传递函数 (STF) 渲染模式渲染 3D 模型。
render_mode = 'nerf' # you can change this to 'stf'
size = 64 # this is the size of the renders, higher values take longer to render.
cameras = create_pan_cameras(size, device)
for i, latent in enumerate(latents):
images = decode_latent_images(xm, latent, cameras, rendering_mode=render_mode)
display(gif_widget(images))
#将 3D 模型保存为 .ply 和 .obj 文件。注意： .obj，稍后我们将使用它在 Blender Studio 中进行自定义。
# Example of saving the latents as meshes.
from shap_e.util.notebooks import decode_latent_mesh
for i, latent in enumerate(latents):
t = decode_latent_mesh(xm, latent).tri_mesh()
with open(f'example_mesh_{i}.ply', 'wb') as f: # this is three-dimensional geometric data of model.
t.write_ply(f)
with open(f'example_mesh_{i}.obj', 'w') as f: # we will use this file to customize in Blender Studio later.
t.write_obj(f)
# Clone the repo.
!git clone https://t.cn/A6jX18IT
%cd /content/camp_zipnerf
# Make a conda environment.
!conda create --name camp_zipnerf python=3.11
!conda activate camp_zipnerf
# Prepare pip.
!conda install pip
!pip install --upgrade pip
# Install requirements.
!pip install -r requirements.txt
# Manually install rmbrualla's `pycolmap` (don't use pip's! It's different).
!git clone https://t.cn/A6jX18IH ./internal/pycolmap
# Confirm that all the unit tests pass.
!./scripts/run_all_unit_tests.sh
%cd /content
!git clone -b dev https://t.cn/A6jX0dU6
!git clone -b dev https://t.cn/A6jX0dUJ
%cd /content/threefiner
!pip install .
%cd /content/3DTopia
!apt -y install -qq aria2
!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://t.cn/A6jX0dUS -d /content/3DTopia/checkpoints -o 3dtopia_diffusion_state_dict.ckpt
!pip install -q pymcubes trimesh pytorch_lightning omegaconf einops wandb git+https://t.cn/A6qBislP kornia open-clip-torch
!pip install -q https://t.cn/A6jX0dUK
!pip install -q https://t.cn/A6jX0dUi
!pip install -q threefiner
# stage 2 - step 1
!threefiner sd --mesh results/default/stage1/example_mesh_0.ply --prompt "A mystical sword with a slender, gleaming blade is adorned with intricate designs. It emits a soft glow illuminating the dark, starry cosmos that serves as its backdrop." --text_dir --front_dir='-y' --outdir results/default/stage2/ --save A_mystical_sword_1_0_sd.glb --force_cuda_rast
# stage 2 - step 2
!threefiner if2 --mesh results/default/stage2/A_mystical_sword_1_0_sd.glb --prompt "A mystical sword with a slender, gleaming blade is adorned with intricate designs. It emits a soft glow illuminating the dark, starry cosmos that serves as its backdrop." --outdir results/default/stage2/ --save A_mystical_sword_1_0_if2.glb --force_cuda_rast
✋热门推荐