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- pytorch_lora_weights.safetensors +3 -0
README.md
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---
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base_model: mochi-1-preview
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library_name: diffusers
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license: apache-2.0
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tags:
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- text-to-video
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- diffusers-training
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- diffusers
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- lora
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- replicate
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- mochi-1-preview
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---
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<!-- This model card has been generated automatically according to the information the training script had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Mochi-1 Preview LoRA Finetune
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This is a LoRA fine-tune of the Mochi-1 preview model. The model was trained using custom training data.
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## Usage
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```python
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from diffusers import MochiPipeline
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from diffusers.utils import export_to_video
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import torch
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pipe = MochiPipeline.from_pretrained("genmo/mochi-1-preview")
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pipe.load_lora_weights("lucataco/mochi-lora-melty")
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pipe.enable_model_cpu_offload()
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video = pipe(
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prompt="your prompt here",
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guidance_scale=6.0,
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num_inference_steps=64,
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height=480,
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width=848,
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max_sequence_length=256,
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).frames[0]
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export_to_video(video, "output.mp4", fps=30)
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```
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## Training details
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Trained on Replicate using: [lucataco/mochi-1-lora-trainer](https://replicate.com/lucataco/mochi-1-lora-trainer)
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## Intended uses & limitations
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#### How to use
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```python
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# TODO: add an example code snippet for running this diffusion pipeline
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```
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#### Limitations and bias
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[TODO: provide examples of latent issues and potential remediations]
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## Training details
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[TODO: describe the data used to train the model]
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pytorch_lora_weights.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:eb42dbe0133e1af2a8eab3b2ce296836de720aa76743d7af007fe2acf054eb0e
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size 76072152
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