Video · text-to-image · image-to-image · text-to-video · video-to-video · reference-to-video · reference-video-to-video
Bernini-R 1.3B
ByteDance
Official renderer inference is vendored in-tree; no external Bernini checkout is used.
构建运行命令
选择仓库中已记录的 variant,然后复制对应的准备、检查或运行命令。
任务text-to-image
环境worldfoundry-bernini-cu124
设备CUDA 12.4
worldfoundry-eval evaluate \
--mode model \
--model-id bernini-r-1.3b \
--model-runner worldfoundry:pipeline \
--model-manifest-dir worldfoundry/data/models/catalog \
--requests-path tmp/requests.jsonl \
--output-dir tmp/model_eval/bernini-r-1.3b \
--metric artifact_count \
--json兼容性与版本
由 Manifest 生成
- 集成状态
- integrated
- Runner 证据
- pending gpu validation
- 环境
- worldfoundry-bernini-cu124
- Python
- 3.11
- CUDA
- CUDA 12.4
- PyTorch
- torch==2.5.1+cu124
- 源码 revision
- 82d573e9a553dccb1405dde4cb0f26466f9df6c5
- Checkpoint revision
- ff4c5d4d2d31365c2ffeb30e9753065ee18f58ce
- Runtime profile
- bernini-r-1.3b
- Pipeline binding
- bernini-r-1.3b
- Runner
- worldfoundry.pipeline
- Pipeline target
- worldfoundry.pipelines.bernini.pipeline_bernini:BerniniWorldFoundryPipeline
- Backend stage
- official_in_tree_runtime
- Runtime 状态
- checkpoint_assets_pending_not_runnable_until_staged
- Driver 状态
- compatible
- 环境类型
- 独立环境
安装环境
环境解析器会读取已记录 profile,并选择此处显示的统一或独立环境。
bash scripts/setup/model_env_install.sh --model bernini-r-1.3b依赖版本约束 19
torch==2.5.1+cu124torchvision==0.20.1+cu124diffusers==0.35.2accelerate==0.34.2transformers==4.57.3huggingface-hubflash-attn==2.8.3safetensorseinopsnumpyPillowtqdmftfydecordimageioimageio-ffmpegscipyloguruveomni @ git+https://github.com/ByteDance-Seed/VeOmni.git@v0.1.10
Conda 依赖 5
python=3.11pipffmpegninjacuda-nvcc
Checkpoint 与资产
分配算力前先做本地检查;gated、private 与 license 字段直接来自 checkpoint manifest。
worldfoundry-eval zoo model-download --model-id bernini-r-1.3b --check-local --jsonByteDance/Bernini-R-1.3B-Diffusers
- Revision
- —
- License
- apache-2.0
- Gated
- —
- Private
- —
ByteDance/Bernini-R-1.3B-Diffusers
- Revision
- ff4c5d4d2d31365c2ffeb30e9753065ee18f58ce
- License
- —
- Gated
- —
- Private
- —
运行与输出
生成的命令通过共享 evaluation 边界运行,并持久保存结果 manifest 与 artifact。
worldfoundry-eval evaluate \
--mode model \
--model-id bernini-r-1.3b \
--model-runner worldfoundry:pipeline \
--model-manifest-dir worldfoundry/data/models/catalog \
--requests-path tmp/requests.jsonl \
--output-dir tmp/model_eval/bernini-r-1.3b \
--metric artifact_count \
--json输入契约
| 字段 | 已记录契约 |
|---|---|
prompt | Required |
image | Required |
images | Required |
video | Required |
task_type | t2i, i2i, t2v, v2v, r2v, rv2v |
Artifact 契约
| Artifact 类型 | 文件名 / 路径 |
|---|---|
generated_image | — |
generated_video | — |
generated_video | bernini-r-1.3b.mp4 |
证据与来源
Catalog 集成、原生 demo parity 与 runner parity 是三条独立记录。
- 集成状态
- integrated
- Runner 证据
- pending gpu validation
- 原生 Demo 证据
- 未记录
- 验证 Imports
- torch, torchvision, diffusers, transformers, huggingface_hub, accelerate, flash_attn, veomni, decord, imageio, loguru
配方溯源
worldfoundry/data/models/catalog/video/bernini-r-1.3b.yamlProjecthttps://bernini-ai.github.io/Paperhttps://arxiv.org/abs/2605.22344GitHub82d573e9a553dccb1405dde4cb0f26466f9df6c5Hugging Facehttps://huggingface.co/ByteDance/Bernini-R-1.3B-Diffusers


