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README.md

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+---
+base_model: mochi-1-preview
+library_name: diffusers
+license: apache-2.0
+tags:
+- text-to-video
+- diffusers-training
+- diffusers
+- lora
+- replicate
+- mochi-1-preview
+---
+
+<!-- This model card has been generated automatically according to the information the training script had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# Mochi-1 Preview LoRA Finetune
+
+This is a LoRA fine-tune of the Mochi-1 preview model. The model was trained using custom training data.
+
+## Usage
+
+```python
+from diffusers import MochiPipeline
+from diffusers.utils import export_to_video
+import torch
+
+pipe = MochiPipeline.from_pretrained("genmo/mochi-1-preview")
+pipe.load_lora_weights("deepfates/mochi-lora-apt")
+pipe.enable_model_cpu_offload()
+
+video = pipe(
+    prompt="your prompt here",
+    guidance_scale=6.0,
+    num_inference_steps=64,
+    height=480,
+    width=848,
+    max_sequence_length=256,
+).frames[0]
+
+export_to_video(video, "output.mp4", fps=30)
+```
+
+## Training details
+
+Trained on Replicate using: [lucataco/mochi-1-lora-trainer](https://replicate.com/lucataco/mochi-1-lora-trainer)
+
+
+## Intended uses & limitations
+
+#### How to use
+
+```python
+# TODO: add an example code snippet for running this diffusion pipeline
+```
+
+#### Limitations and bias
+
+[TODO: provide examples of latent issues and potential remediations]
+
+## Training details
+
+[TODO: describe the data used to train the model]

pytorch_lora_weights.safetensors

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