End of training
Browse files- .gitattributes +3 -0
- README.md +92 -0
- checkpoint-100.pt +3 -0
- checkpoint-1000.pt +3 -0
- checkpoint-1100.pt +3 -0
- checkpoint-1200.pt +3 -0
- checkpoint-1300.pt +3 -0
- checkpoint-1400.pt +3 -0
- checkpoint-1500.pt +3 -0
- checkpoint-1600.pt +3 -0
- checkpoint-1700.pt +3 -0
- checkpoint-1800.pt +3 -0
- checkpoint-1900.pt +3 -0
- checkpoint-200.pt +3 -0
- checkpoint-2000.pt +3 -0
- checkpoint-2100.pt +3 -0
- checkpoint-2200.pt +3 -0
- checkpoint-2300.pt +3 -0
- checkpoint-2400.pt +3 -0
- checkpoint-2500.pt +3 -0
- checkpoint-2600.pt +3 -0
- checkpoint-2700.pt +3 -0
- checkpoint-2800.pt +3 -0
- checkpoint-2900.pt +3 -0
- checkpoint-300.pt +3 -0
- checkpoint-3000.pt +3 -0
- checkpoint-400.pt +3 -0
- checkpoint-500.pt +3 -0
- checkpoint-600.pt +3 -0
- checkpoint-700.pt +3 -0
- checkpoint-800.pt +3 -0
- checkpoint-900.pt +3 -0
- final_video_0.mp4 +3 -0
- pytorch_lora_weights.safetensors +3 -0
- test_video_0_There_is_a_*crab*_blendin.mp4 +3 -0
- validation_video_0_There_is_a_*crab*_blendin.mp4 +3 -0
.gitattributes
CHANGED
@@ -33,3 +33,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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+
final_video_0.mp4 filter=lfs diff=lfs merge=lfs -text
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test_video_0_There_is_a_\*crab\*_blendin.mp4 filter=lfs diff=lfs merge=lfs -text
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validation_video_0_There_is_a_\*crab\*_blendin.mp4 filter=lfs diff=lfs merge=lfs -text
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README.md
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+
---
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2 |
+
base_model: genmo/mochi-1-preview
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+
library_name: diffusers
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+
license: apache-2.0
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5 |
+
instance_prompt: There is a *crab* blending into a +rocky ocean floor+ where the crab's
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+
mottled brown shell, rough texture, and uneven shape closely match the scattered
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+
rocks and coarse sand, all in muted brown and grey tones. The crab moves slowly
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and subtly, making it difficult to distinguish as its rough brown pattern looks
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+
just like a piece of rock among the uneven, similarly colored stones and patches
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+
of sand.
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+
widget:
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- text: There is a *crab* blending into a +rocky ocean floor+ where the crab's mottled
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+
brown shell, rough texture, and uneven shape closely match the scattered rocks
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+
and coarse sand, all in muted brown and grey tones. The crab moves slowly and
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subtly, making it difficult to distinguish as its rough brown pattern looks just
|
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+
like a piece of rock among the uneven, similarly colored stones and patches of
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sand.
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+
output:
|
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url: final_video_0.mp4
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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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- mochi-1-preview
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- mochi-1-preview-diffusers
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- template:sd-lora
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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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+
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+
# Mochi-1 Preview LoRA Finetune
|
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<Gallery />
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+
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## Model description
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+
This is a lora finetune of the Mochi-1 preview model `genmo/mochi-1-preview`.
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+
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+
The model was trained using [CogVideoX Factory](https://github.com/a-r-r-o-w/cogvideox-factory) - a repository containing memory-optimized training scripts for the CogVideoX and Mochi family of models using [TorchAO](https://github.com/pytorch/ao) and [DeepSpeed](https://github.com/microsoft/DeepSpeed). The scripts were adopted from [CogVideoX Diffusers trainer](https://github.com/huggingface/diffusers/blob/main/examples/cogvideo/train_cogvideox_lora.py).
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+
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## Download model
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[Download LoRA](weathon/mochi-lora/tree/main) in the Files & Versions tab.
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## Usage
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Requires the [🧨 Diffusers library](https://github.com/huggingface/diffusers) installed.
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```py
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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("CHANGE_ME")
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pipe.enable_model_cpu_offload()
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with torch.autocast("cuda", torch.bfloat16):
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video = pipe(
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prompt="CHANGE_ME",
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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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output_type="np"
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).frames[0]
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export_to_video(video)
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```
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For more details, including weighting, merging and fusing LoRAs, check the [documentation](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters) on loading LoRAs in diffusers.
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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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+
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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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test_video_0_There_is_a_*crab*_blendin.mp4
ADDED
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:36001da633ca89baa7cc42870c6b64a9bd9038ce2ca2f403ad2491bbc984041c
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3 |
+
size 309566
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validation_video_0_There_is_a_*crab*_blendin.mp4
ADDED
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4752bd902690a999e279beccf3480614338406b61f3612617820952599b76a5a
|
3 |
+
size 165240
|