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README.md

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+---
+base_model:
+- tencent/HunyuanVideo
+library_name: diffusers
+---
+
+Unofficial personal fork for Diffusers-format weights on [`tencent/HunyuanVideo`](https://huggingface.co/tencent/HunyuanVideo).
+
+### Using Diffusers
+
+HunyuanVideo can be used directly from Diffusers. Install the latest version of Diffusers.
+
+```python
+import torch
+from diffusers import HunyuanVideoPipeline, HunyuanVideoTransformer3DModel
+from diffusers.utils import export_to_video
+
+model_id = "hunyuanvideo-community/HunyuanVideo"
+transformer = HunyuanVideoTransformer3DModel.from_pretrained(
+    model_id, subfolder="transformer", torch_dtype=torch.bfloat16
+)
+pipe = HunyuanVideoPipeline.from_pretrained(model_id, transformer=transformer, torch_dtype=torch.float16)
+
+# Enable memory savings
+pipe.vae.enable_tiling()
+pipe.enable_model_cpu_offload()
+
+output = pipe(
+    prompt="A cat walks on the grass, realistic",
+    height=320,
+    width=512,
+    num_frames=61,
+    num_inference_steps=30,
+).frames[0]
+export_to_video(output, "output.mp4", fps=15)
+```
+
+Refer to the [documentation](https://huggingface.co/docs/diffusers/main/en/api/pipelines/hunyuan_video) for more information.
+

config.json

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+{
+  "Name": [
+    "HunyuanVideo"
+  ],
+}

model_index.json

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+{
+  "_class_name": "HunyuanVideoPipeline",
+  "_diffusers_version": "0.32.0.dev0",
+  "scheduler": [
+    "diffusers",
+    "FlowMatchEulerDiscreteScheduler"
+  ],
+  "text_encoder": [
+    "transformers",
+    "LlamaModel"
+  ],
+  "text_encoder_2": [
+    "transformers",
+    "CLIPTextModel"
+  ],
+  "tokenizer": [
+    "transformers",
+    "LlamaTokenizerFast"
+  ],
+  "tokenizer_2": [
+    "transformers",
+    "CLIPTokenizer"
+  ],
+  "transformer": [
+    "diffusers",
+    "HunyuanVideoTransformer3DModel"
+  ],
+  "vae": [
+    "diffusers",
+    "AutoencoderKLHunyuanVideo"
+  ]
+}