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  1. README.md +63 -0
  2. pytorch_lora_weights.safetensors +3 -0
README.md ADDED
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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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+
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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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+
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+ # Mochi-1 Preview LoRA Finetune
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+
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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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+
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+ ## Usage
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+
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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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+
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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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+
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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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+
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+ export_to_video(video, "output.mp4", fps=30)
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+ ```
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+
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+ ## Training details
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+
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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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+
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+
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+ ## Intended uses & limitations
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+
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+ #### How to use
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+
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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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+
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+ #### Limitations and bias
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+
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+ [TODO: provide examples of latent issues and potential remediations]
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+
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+ ## Training details
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+
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+ [TODO: describe the data used to train the model]
pytorch_lora_weights.safetensors ADDED
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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