Base transformer weights and their matching camera adapter and LoRA for the WorldCrafter inference code.
Place this directory beside
WorldCrafter-Fast
. Base reads the following shared folders from Fast:
repencoder/
,
text_encoder/
,
tokenizer/
,
vae/
, and
scheduler/
. Base does not need Fast's transformer or adapter folders. The relative path is configured in
inference_config.json
.
From the code repository root:
python inference.py --model-type base --model-path weights/WorldCrafter-Base --output-path outputs/base.mp4
Keep the Base-specific
transformer/
and
adapter/
together.
SHA256SUMS
covers the packaged Base files; shared component hashes are recorded in Fast's package.
Runs of TencentARC WorldCrafter-Base on huggingface.co
190
Total runs
3
24-hour runs
19
3-day runs
37
7-day runs
185
30-day runs
More Information About WorldCrafter-Base huggingface.co Model
WorldCrafter-Base huggingface.co
WorldCrafter-Base huggingface.co is an AI model on huggingface.co that provides WorldCrafter-Base's model effect (), which can be used instantly with this TencentARC WorldCrafter-Base model. huggingface.co supports a free trial of the WorldCrafter-Base model, and also provides paid use of the WorldCrafter-Base. Support call WorldCrafter-Base model through api, including Node.js, Python, http.
WorldCrafter-Base huggingface.co is an online trial and call api platform, which integrates WorldCrafter-Base's modeling effects, including api services, and provides a free online trial of WorldCrafter-Base, you can try WorldCrafter-Base online for free by clicking the link below.
TencentARC WorldCrafter-Base online free url in huggingface.co:
WorldCrafter-Base is an open source model from GitHub that offers a free installation service, and any user can find WorldCrafter-Base on GitHub to install. At the same time, huggingface.co provides the effect of WorldCrafter-Base install, users can directly use WorldCrafter-Base installed effect in huggingface.co for debugging and trial. It also supports api for free installation.