Add files using upload-large-folder tool

.gitattributes

@@ -33,3 +33,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+assets/arena.png filter=lfs diff=lfs merge=lfs -text
+bernini_renderer_high/.metadata filter=lfs diff=lfs merge=lfs -text
+assets/bernini-icon.png filter=lfs diff=lfs merge=lfs -text
+bernini_renderer_low/.metadata filter=lfs diff=lfs merge=lfs -text

LICENSE

@@ -0,0 +1,201 @@
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+   1. Definitions.
+
+      "License" shall mean the terms and conditions for use, reproduction,
+      and distribution as defined by Sections 1 through 9 of this document.
+
+      "Licensor" shall mean the copyright owner or entity authorized by
+      the copyright owner that is granting the License.
+
+      "Legal Entity" shall mean the union of the acting entity and all
+      other entities that control, are controlled by, or are under common
+      control with that entity. For the purposes of this definition,
+      "control" means (i) the power, direct or indirect, to cause the
+      direction or management of such entity, whether by contract or
+      otherwise, or (ii) ownership of fifty percent (50%) or more of the
+      outstanding shares, or (iii) beneficial ownership of such entity.
+
+      "You" (or "Your") shall mean an individual or Legal Entity
+      exercising permissions granted by this License.
+
+      "Source" form shall mean the preferred form for making modifications,
+      including but not limited to software source code, documentation
+      source, and configuration files.
+
+      "Object" form shall mean any form resulting from mechanical
+      transformation or translation of a Source form, including but
+      not limited to compiled object code, generated documentation,
+      and conversions to other media types.
+
+      "Work" shall mean the work of authorship, whether in Source or
+      Object form, made available under the License, as indicated by a
+      copyright notice that is included in or attached to the work
+      (an example is provided in the Appendix below).
+
+      "Derivative Works" shall mean any work, whether in Source or Object
+      form, that is based on (or derived from) the Work and for which the
+      editorial revisions, annotations, elaborations, or other modifications
+      represent, as a whole, an original work of authorship. For the purposes
+      of this License, Derivative Works shall not include works that remain
+      separable from, or merely link (or bind by name) to the interfaces of,
+      the Work and Derivative Works thereof.
+
+      "Contribution" shall mean any work of authorship, including
+      the original version of the Work and any modifications or additions
+      to that Work or Derivative Works thereof, that is intentionally
+      submitted to Licensor for inclusion in the Work by the copyright owner
+      or by an individual or Legal Entity authorized to submit on behalf of
+      the copyright owner. For the purposes of this definition, "submitted"
+      means any form of electronic, verbal, or written communication sent
+      to the Licensor or its representatives, including but not limited to
+      communication on electronic mailing lists, source code control systems,
+      and issue tracking systems that are managed by, or on behalf of, the
+      Licensor for the purpose of discussing and improving the Work, but
+      excluding communication that is conspicuously marked or otherwise
+      designated in writing by the copyright owner as "Not a Contribution."
+
+      "Contributor" shall mean Licensor and any individual or Legal Entity
+      on behalf of whom a Contribution has been received by Licensor and
+      subsequently incorporated within the Work.
+
+   2. Grant of Copyright License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+      copyright license to reproduce, prepare Derivative Works of,
+      publicly display, publicly perform, sublicense, and distribute the
+      Work and such Derivative Works in Source or Object form.
+
+   3. Grant of Patent License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+      (except as stated in this section) patent license to make, have made,
+      use, offer to sell, sell, import, and otherwise transfer the Work,
+      where such license applies only to those patent claims licensable
+      by such Contributor that are necessarily infringed by their
+      Contribution(s) alone or by combination of their Contribution(s)
+      with the Work to which such Contribution(s) was submitted. If You
+      institute patent litigation against any entity (including a
+      cross-claim or counterclaim in a lawsuit) alleging that the Work
+      or a Contribution incorporated within the Work constitutes direct
+      or contributory patent infringement, then any patent licenses
+      granted to You under this License for that Work shall terminate
+      as of the date such litigation is filed.
+
+   4. Redistribution. You may reproduce and distribute copies of the
+      Work or Derivative Works thereof in any medium, with or without
+      modifications, and in Source or Object form, provided that You
+      meet the following conditions:
+
+      (a) You must give any other recipients of the Work or
+          Derivative Works a copy of this License; and
+
+      (b) You must cause any modified files to carry prominent notices
+          stating that You changed the files; and
+
+      (c) You must retain, in the Source form of any Derivative Works
+          that You distribute, all copyright, patent, trademark, and
+          attribution notices from the Source form of the Work,
+          excluding those notices that do not pertain to any part of
+          the Derivative Works; and
+
+      (d) If the Work includes a "NOTICE" text file as part of its
+          distribution, then any Derivative Works that You distribute must
+          include a readable copy of the attribution notices contained
+          within such NOTICE file, excluding those notices that do not
+          pertain to any part of the Derivative Works, in at least one
+          of the following places: within a NOTICE text file distributed
+          as part of the Derivative Works; within the Source form or
+          documentation, if provided along with the Derivative Works; or,
+          within a display generated by the Derivative Works, if and
+          wherever such third-party notices normally appear. The contents
+          of the NOTICE file are for informational purposes only and
+          do not modify the License. You may add Your own attribution
+          notices within Derivative Works that You distribute, alongside
+          or as an addendum to the NOTICE text from the Work, provided
+          that such additional attribution notices cannot be construed
+          as modifying the License.
+
+      You may add Your own copyright statement to Your modifications and
+      may provide additional or different license terms and conditions
+      for use, reproduction, or distribution of Your modifications, or
+      for any such Derivative Works as a whole, provided Your use,
+      reproduction, and distribution of the Work otherwise complies with
+      the conditions stated in this License.
+
+   5. Submission of Contributions. Unless You explicitly state otherwise,
+      any Contribution intentionally submitted for inclusion in the Work
+      by You to the Licensor shall be under the terms and conditions of
+      this License, without any additional terms or conditions.
+      Notwithstanding the above, nothing herein shall supersede or modify
+      the terms of any separate license agreement you may have executed
+      with Licensor regarding such Contributions.
+
+   6. Trademarks. This License does not grant permission to use the trade
+      names, trademarks, service marks, or product names of the Licensor,
+      except as required for reasonable and customary use in describing the
+      origin of the Work and reproducing the content of the NOTICE file.
+
+   7. Disclaimer of Warranty. Unless required by applicable law or
+      agreed to in writing, Licensor provides the Work (and each
+      Contributor provides its Contributions) on an "AS IS" BASIS,
+      WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
+      implied, including, without limitation, any warranties or conditions
+      of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
+      PARTICULAR PURPOSE. You are solely responsible for determining the
+      appropriateness of using or redistributing the Work and assume any
+      risks associated with Your exercise of permissions under this License.
+
+   8. Limitation of Liability. In no event and under no legal theory,
+      whether in tort (including negligence), contract, or otherwise,
+      unless required by applicable law (such as deliberate and grossly
+      negligent acts) or agreed to in writing, shall any Contributor be
+      liable to You for damages, including any direct, indirect, special,
+      incidental, or consequential damages of any character arising as a
+      result of this License or out of the use or inability to use the
+      Work (including but not limited to damages for loss of goodwill,
+      work stoppage, computer failure or malfunction, or any and all
+      other commercial damages or losses), even if such Contributor
+      has been advised of the possibility of such damages.
+
+   9. Accepting Warranty or Additional Liability. While redistributing
+      the Work or Derivative Works thereof, You may choose to offer,
+      and charge a fee for, acceptance of support, warranty, indemnity,
+      or other liability obligations and/or rights consistent with this
+      License. However, in accepting such obligations, You may act only
+      on Your own behalf and on Your sole responsibility, not on behalf
+      of any other Contributor, and only if You agree to indemnify,
+      defend, and hold each Contributor harmless for any liability
+      incurred by, or claims asserted against, such Contributor by reason
+      of your accepting any such warranty or additional liability.
+
+   END OF TERMS AND CONDITIONS
+
+   APPENDIX: How to apply the Apache License to your work.
+
+      To apply the Apache License to your work, attach the following
+      boilerplate notice, with the fields enclosed by brackets "[]"
+      replaced with your own identifying information. (Don't include
+      the brackets!)  The text should be enclosed in the appropriate
+      comment syntax for the file format. We also recommend that a
+      file or class name and description of purpose be included on the
+      same "printed page" as the copyright notice for easier
+      identification within third-party archives.
+
+   Copyright [yyyy] [name of copyright owner]
+
+   Licensed under the Apache License, Version 2.0 (the "License");
+   you may not use this file except in compliance with the License.
+   You may obtain a copy of the License at
+
+       http://www.apache.org/licenses/LICENSE-2.0
+
+   Unless required by applicable law or agreed to in writing, software
+   distributed under the License is distributed on an "AS IS" BASIS,
+   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+   See the License for the specific language governing permissions and
+   limitations under the License.

README.md

@@ -1,3 +1,250 @@
----
-license: apache-2.0
----
+<div align="center">
+
+<img src="assets/bernini-icon.png" width="560" alt="Bernini"/>
+
+#### Latent Semantic Planning for Video Diffusion
+
+**Chenchen Liu<sup>\*</sup>, Junyi Chen<sup>\*</sup>, Lei Li<sup>\*</sup>, Lu Chi<sup>\*,§</sup>, Mingzhen Sun<sup>\*</sup>, Zhuoying Li<sup>\*</sup>, Yi Fu, Ruoyu Guo, Yiheng Wu, Ge Bai, Zehuan Yuan<sup>✉</sup>**
+
+<sup>\*</sup> Equal contribution&nbsp;&nbsp;<sup>✉</sup> Corresponding author&nbsp;&nbsp;<sup>§</sup> Project lead
+
+[![arXiv](https://img.shields.io/badge/arXiv-2605.22344-b31b1b.svg)](https://arxiv.org/abs/2605.22344)
+[![Project Page](https://img.shields.io/badge/Project-Page-blue.svg)](https://bernini-ai.github.io/)
+[![HuggingFace](https://img.shields.io/badge/%F0%9F%A4%97%20HuggingFace-Models-yellow)](https://huggingface.co/ByteDance/Bernini)
+
+</div>
+
+## 🎉 News
+
+- **[2026-06-01]** We open-sourced the inference code and model weights of the Bernini Renderer (**Bernini-R**).
+- **[2026-05-22]** We released our paper [Bernini: Latent Semantic Planning for Video Diffusion](https://arxiv.org/abs/2605.22344).
+
+## ✨ Highlights
+
+Bernini is a unified framework for video generation and editing that combines an MLLM-based semantic planner with a DiT-based renderer.
+
+On video editing, Bernini reaches the first tier among leading closed-source
+commercial models. The leaderboard below comes from our self-built arena
+platform, where human annotators blindly vote on paired edits and the votes are
+aggregated into a Bradley-Terry score and a pairwise win-rate matrix.
+
+<img src="assets/arena.png" width="900" alt="Video editing arena: Bradley-Terry leaderboard and pairwise win-rate matrix"/>
+
+## 📦 Installation
+
+### Requirements
+
+- **Python** 3.11.2.
+- **CUDA GPU** — a Hopper GPU (H100/H800/H200) is recommended so FlashAttention-3
+  can be used; other CUDA GPUs fall back to FlashAttention-2 or PyTorch SDPA.
+- **CUDA toolkit** 12.4 (matches the pinned `torch==2.5.1+cu124`; 12.3+ is the
+  minimum if you build FlashAttention-3).
+- Pinned in `requirements.txt`: `torch==2.5.1+cu124`, `diffusers==0.35.2`,
+  `accelerate==0.34.2`, `transformers==4.57.3`.
+
+Reference environment (Bernini-R is developed and tested on this setup):
+
+| Component | Version      |
+|-----------|--------------|
+| GPU       | NVIDIA H100  |
+| CUDA      | 12.4         |
+| Python    | 3.11.2       |
+| PyTorch   | 2.5.1+cu124  |
+
+### Install
+
+```bash
+git clone https://github.com/bytedance/Bernini.git bernini && cd bernini
+pip install -r requirements.txt
+```
+
+Optional extras:
+
+- **Multi-GPU sequence parallel** needs [Open-VeOmni](https://github.com/ByteDance-Seed/VeOmni)
+  (Apache-2.0, Python 3.11). Use `--no-deps` so VeOmni does not pull in a
+  different torch build and override the pinned `torch==2.5.1+cu124`:
+  `pip install --no-deps git+https://github.com/ByteDance-Seed/VeOmni.git@v0.1.10`.
+  Single-GPU inference does not need it.
+- **Faster attention** (auto-detected if installed; otherwise PyTorch SDPA is used):
+  - FlashAttention-2 — general CUDA GPUs (incl. A100/A800): `pip install flash-attn==2.8.3`.
+  - FlashAttention-3 — Hopper only (H100/H800/H200, CUDA ≥ 12.3, PyTorch ≥ 2.4).
+    `flash_attn_interface` is not on PyPI; build it from the
+    [flash-attention](https://github.com/Dao-AILab/flash-attention) repo's
+    `hopper/` directory at tag `v2.8.3`:
+    ```bash
+    git clone https://github.com/Dao-AILab/flash-attention.git
+    cd flash-attention && git checkout v2.8.3
+    cd hopper && MAX_JOBS=$(nproc) python3 setup.py install --user
+    ```
+
+### Weights
+
+Bernini-R uses two sets of weights:
+
+1. **Wan2.2 base** — [`Wan-AI/Wan2.2-T2V-A14B-Diffusers`](https://huggingface.co/Wan-AI/Wan2.2-T2V-A14B-Diffusers) on Hugging Face. Supplies the
+   VAE, UMT5 text encoder, tokenizer, and the transformer architecture/base weights.
+   It is downloaded automatically on first run (configured by `wan22_base` in
+   `configs/bernini_renderer_wan22/config.json`).
+2. **Bernini-R checkpoint** — the trained high-noise / low-noise transformer weights
+   (safetensors) from [Hugging Face](https://huggingface.co/ByteDance/Bernini), passed with
+   `--high_noise_ckpt` / `--low_noise_ckpt`. Both a local directory and a Hugging
+   Face repo id are accepted.
+
+## 🚀 Usage
+
+A run is described by a **case file** — a small JSON under
+[`assets/testcases/`](assets/testcases/) that bundles one task's routing and
+inputs (`task_type`, `guidance_mode`, `prompt`, source media, `output`). This
+keeps long prompts out of the command line. Each task has a directory under
+`assets/testcases/` holding one or more case files; see
+[`assets/testcases/`](assets/testcases/) for the format and the bundled
+`t2i` / `i2i` / `t2v` / `v2v` / `rv2v` /`r2v` examples.
+
+### Prompt enhancer (recommended)
+
+`--use_pe` enhances the prompt through an OpenAI-compatible endpoint and is
+recommended for best generation quality. The `openai` SDK is installed by
+`requirements.txt`; configure the endpoint with environment variables:
+
+```bash
+export BERNINI_PE_API_KEY=...      # or OPENAI_API_KEY
+export BERNINI_PE_BASE_URL=...     # or OPENAI_BASE_URL
+export BERNINI_PE_MODEL=...        # vision-capable chat model
+```
+
+### Examples by task type
+
+Unless an example specifies otherwise, inference outputs **480p / 16fps** (the
+defaults — `--max_image_size 848`, `--fps 16`).
+
+Each example runs a bundled case in
+[`assets/testcases/`](assets/testcases/) — replace `<hi>` / `<lo>` with your
+high-/low-noise checkpoint paths. The image tasks (`t2i`, `i2i`) are shown on a
+single GPU; the video tasks on 8 GPUs via `torchrun`, where `--ulysses N` gives
+N-way Ulysses sequence parallel per sample and the remaining `world_size / N`
+ranks run data parallel over the task list. The two scripts take the same
+inputs, so any example can be run either way.
+
+Inputs can also be passed directly as flags instead of `--case` (`--prompt`,
+`--task_type`, `--guidance_mode`, `--video`, `--image`, `--images`,
+`--output`); generation parameters (`--seed`, `--num_frames`, ...) are always
+command-line flags.
+
+**Text-to-image** (`t2i`) — single GPU; generates one frame, so pass `--num_frames 1`
+
+```bash
+python infer_single_gpu.py --high_noise_ckpt <hi> --low_noise_ckpt <lo> \
+    --case assets/testcases/t2i/t2i.json --num_frames 1
+```
+
+**Image editing** (`i2i`) — single GPU; generates one frame, so pass `--num_frames 1`
+
+```bash
+python infer_single_gpu.py --high_noise_ckpt <hi> --low_noise_ckpt <lo> \
+    --case assets/testcases/i2i/i2i.json --num_frames 1
+```
+
+**Text-to-video** (`t2v`)
+
+```bash
+torchrun --nproc-per-node 8 infer_multi_gpu.py \
+    --high_noise_ckpt <hi> --low_noise_ckpt <lo> --ulysses 8 \
+    --case assets/testcases/t2v/t2v.json
+```
+
+**Video editing** (`v2v` / `mv2v`) — two cases are provided.
+
+For edits where the main subject keeps its ordinary motion (case 1 adds a
+snowman to the scene), the `v2v` task type is enough:
+
+```bash
+torchrun --nproc-per-node 8 infer_multi_gpu.py \
+    --high_noise_ckpt <hi> --low_noise_ckpt <lo> --ulysses 8 \
+    --case assets/testcases/v2v/v2v_case1.json
+```
+
+For edits that need to change the subject's motion (case 2 makes the person
+crouch down), the `mv2v` task type gives better results:
+
+```bash
+torchrun --nproc-per-node 8 infer_multi_gpu.py \
+    --high_noise_ckpt <hi> --low_noise_ckpt <lo> --ulysses 8 \
+    --case assets/testcases/v2v/v2v_case2.json
+```
+
+**Reference + video editing** (`rv2v`) — two cases are provided.
+
+Case 1 is reference-image-guided video editing — replacing a garment in the
+source video with one from a reference image:
+
+```bash
+torchrun --nproc-per-node 8 infer_multi_gpu.py \
+    --high_noise_ckpt <hi> --low_noise_ckpt <lo> --ulysses 8 \
+    --case assets/testcases/rv2v/rv2v_case1.json
+```
+
+Case 2 is a video-insertion example — inserting content into the source video.
+It is run at 720p / 24fps to show the insertion result more clearly:
+
+```bash
+torchrun --nproc-per-node 8 infer_multi_gpu.py \
+    --high_noise_ckpt <hi> --low_noise_ckpt <lo> --ulysses 8 \
+    --case assets/testcases/rv2v/rv2v_case2.json \
+    --num_frames 121 --fps 24 --max_image_size 1280
+```
+
+**Reference-to-video** (`r2v`) — drives a video from one or more reference images
+
+```bash
+torchrun --nproc-per-node 8 infer_multi_gpu.py \
+    --high_noise_ckpt <hi> --low_noise_ckpt <lo> --ulysses 8 \
+    --case assets/testcases/r2v/r2v.json
+```
+
+See `python infer_single_gpu.py --help` for the full argument list.
+
+### Gradio demo
+
+`gradio_demo.py` exposes the same pipeline through a Gradio UI: the task-type
+dropdown auto-fills `guidance_mode` (still user-editable), uploaded media is
+routed to the matching slot, and the result is rendered inline.
+
+```bash
+# Single GPU
+python gradio_demo.py --high_noise_ckpt <hi> --low_noise_ckpt <lo> --port 7860
+
+# 8 GPUs, 8-way Ulysses sequence parallel
+torchrun --nproc-per-node 8 gradio_demo.py --ulysses 8 \
+    --high_noise_ckpt <hi> --low_noise_ckpt <lo> --port 7860 --share
+```
+
+Add `--use_pe` (and `export OPENAI_API_KEY=...` / `BERNINI_PE_API_KEY=...`) to
+enable GPT prompt enhancement; the in-UI checkbox is a per-request switch on
+top of this flag.
+
+## 📑 Citation
+
+If you use Bernini in your research, please cite:
+
+```bibtex
+@article{bernini,
+  title   = {Bernini: Latent Semantic Planning for Video Diffusion},
+  author  = {Chenchen Liu and Junyi Chen and Lei Li and Lu Chi and Mingzhen Sun and Zhuoying Li and Yi Fu and Ruoyu Guo and Yiheng Wu and Ge Bai and Zehuan Yuan},
+  journal = {arXiv preprint arXiv:2605.22344},
+  year    = {2026}
+}
+```
+
+## 🙏 Acknowledgements
+
+Bernini builds on several outstanding open-source projects:
+
+- [Wan2.2-T2V-A14B](https://huggingface.co/Wan-AI/Wan2.2-T2V-A14B)
+- [Qwen2.5-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct)
+- [VeOmni](https://github.com/ByteDance-Seed/VeOmni)
+
+We thank the authors and communities of these projects for their contributions.
+
+## 📄 License
+
+Apache License 2.0. See [LICENSE](LICENSE).

bernini_renderer_high/.metadata

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f07d2bde1469e23298a1eb1abb642089e2e6bad1ac0f1e56535f19d787cd2ace
+size 159392494

bernini_renderer_high/model-00001-of-00018.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4705f11ed4e60791613968e046db9d9a592766cf77cc6338a6aa5b3616ae7280
+size 4950993232

bernini_renderer_high/model-00002-of-00018.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8fb35fd42d26dfef3100532c9bc7b11047c6d2564f0bbecf2479893ee470dbbf
+size 4993011360

bernini_renderer_high/model-00003-of-00018.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:765ad40f173225662cbf9f41680a09d3a2c52ae3cef0b70561f26ae81eecae40
+size 4950966320

bernini_renderer_high/model-00004-of-00018.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:52a81340c76942928ec9e8f977f9c266d3e149aab08a34737a9b0c1d0916360c
+size 4992976512

bernini_renderer_high/model-00005-of-00018.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:193baaa40d79cfada5108433e1d5aa39dbc76a7c08f64ee002839e9cc93643c6
+size 4846087984

bernini_renderer_high/model-00006-of-00018.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bcf5535b14944c54cc851f2c96d41223ff230bba2fbcdee44139e33a708aa225
+size 4992976536

bernini_renderer_high/model-00007-of-00018.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1682a9d858ddde5da65da0f0c050c15d82ffe0aba9404d1826811accccd5abfe
+size 4846087952

bernini_renderer_high/model-00008-of-00018.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:36e4134f8946a32c48e37cee901e0c4d8517f3cd9ab0a92f32475b131d2e76ec
+size 4992976536

bernini_renderer_high/model-00009-of-00018.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:308152953fc5c9a68b7bce270c7f9e35b0083c4c4cf2749416f3b5ab3c559c5b
+size 4846087984

bernini_renderer_high/model-00010-of-00018.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8cd521f4838977d0665ea088f10de51c8265d11f81b2250dc11274256ed32984
+size 4992976504

bernini_renderer_high/model-00011-of-00018.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:16d5f0688df676a41a0a09a5bf5cd0724c04e763c578d917cc5195eb92a9b391
+size 4846087888

bernini_renderer_high/model-00012-of-00018.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e5097ac00b47be470784c4a8f88810a8baad518025f47bdd7a1953abfe091948
+size 4882698376

bernini_renderer_high/model-00013-of-00018.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3112e6d5b27830f9c88d264dc4b36dcaf7710d0c13383fa20b080099c6c62096
+size 4966327288

bernini_renderer_high/model-00014-of-00018.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:421d3d85f9af15a4e737a49d17c27a60895cb88f8a172399c71e3aedc00df96e
+size 4899227048

bernini_renderer_high/model-00015-of-00018.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2c9e0b25e3dcf639be601a05374a8a965162390b60fb4170ff50dd9b62a2116e
+size 4966310728

bernini_renderer_high/model-00016-of-00018.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:22485360adc2165631c3874f14b64a58101cfef96221386f908a4979ab13a76d
+size 1711377528

bernini_renderer_high/model-00017-of-00018.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f302231a60d22f56b107b6cc57d00c811eee743865a92f8311e5d5c2822d1e57
+size 4200612128

bernini_renderer_high/model-00018-of-00018.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7921b917a0cb44dbab4bc6a8b1e020090eda046f9047452825d7426f4e98d9ad
+size 4200595600

bernini_renderer_low/.metadata

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:db825aca4d0aa391576068f480cbf8da4caea0389a064b2237f52b96d2892477
+size 160933121

bernini_renderer_low/model-00001-of-00018.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:212702decbf06ce9f617986b0d1828ba5bf4b71e0f6ffb8a439e68cdf1db1103
+size 4950993432

bernini_renderer_low/model-00002-of-00018.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:219840a9a414d89f1a2f7d10bcb773cb79b40ddfaeb957ff4787e3d65e88dcee
+size 4993011552

bernini_renderer_low/model-00003-of-00018.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e7cf8e3cf0e055224d62eaf3bc4117b69da8a1b029903852e795dfa4bdc1cad9
+size 4950966512

bernini_renderer_low/model-00004-of-00018.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:28b6bde116f4ce4bd2c48f0adb6e07593717d59182ea079a634af93c6f88fb29
+size 4992976704

bernini_renderer_low/model-00005-of-00018.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1f2d29e71ec76143a6b237d537d09bd1b1828a754c6866b60e1cecbbee2b26a0
+size 4846088168

bernini_renderer_low/model-00006-of-00018.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b1e8b7316d9a832ed7f9042bd169eb3d5fbae11a48c2c3bf26cc4fd0fa558793
+size 4992976728

bernini_renderer_low/model-00007-of-00018.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3e232fefb80acfba4331a9f45cdf1d10acf25f34f0a80e30d67cb28bab4b1e4b
+size 4846088144

bernini_renderer_low/model-00008-of-00018.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fe69769201c0d0a4e70c2f6b5024a6439a63926f7ff2c9d20022944e39dd9643
+size 4992976728

bernini_renderer_low/model-00009-of-00018.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:48aa664f000d3da6afc207ead16b4643d74ba680fc05cc10cfa8dfc6da402f78
+size 4846088168

bernini_renderer_low/model-00010-of-00018.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0ff1c784e5fc9d1c037d460a5a6b8ec190a92e423dd4732f5e7ee1343569e714
+size 4992976696

bernini_renderer_low/model-00011-of-00018.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f088b22e80a7ac3af2a5ed1b3fd9fbf5e6f9f296ddb2ed8870b0c396c9bd664d
+size 4846088080

bernini_renderer_low/model-00012-of-00018.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d490d4b16149ae9e4c1a1a2989fe8e6e3cf224e758077ca59e5504cf20c945da
+size 4882698472

bernini_renderer_low/model-00013-of-00018.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3112e6d5b27830f9c88d264dc4b36dcaf7710d0c13383fa20b080099c6c62096
+size 4966327288

bernini_renderer_low/model-00014-of-00018.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:421d3d85f9af15a4e737a49d17c27a60895cb88f8a172399c71e3aedc00df96e
+size 4899227048

bernini_renderer_low/model-00015-of-00018.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2c9e0b25e3dcf639be601a05374a8a965162390b60fb4170ff50dd9b62a2116e
+size 4966310728

bernini_renderer_low/model-00016-of-00018.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:22485360adc2165631c3874f14b64a58101cfef96221386f908a4979ab13a76d
+size 1711377528

bernini_renderer_low/model-00017-of-00018.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f302231a60d22f56b107b6cc57d00c811eee743865a92f8311e5d5c2822d1e57
+size 4200612128

bernini_renderer_low/model-00018-of-00018.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7921b917a0cb44dbab4bc6a8b1e020090eda046f9047452825d7426f4e98d9ad
+size 4200595600