Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

[Single File] Add GGUF support for LTX #10298

Merged
merged 4 commits into from
Dec 20, 2024
Merged

[Single File] Add GGUF support for LTX #10298

merged 4 commits into from
Dec 20, 2024

Conversation

DN6
Copy link
Collaborator

@DN6 DN6 commented Dec 19, 2024

What does this PR do?

Some GGUF checkpoints remove the model.diffusion_model prefix from the original LTX file. This PR accounts for that change.

Fixes # (issue)

Before submitting

Who can review?

Anyone in the community is free to review the PR once the tests have passed. Feel free to tag
members/contributors who may be interested in your PR.

@HuggingFaceDocBuilderDev

The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.

@sayakpaul
Copy link
Member

Have tested with the following and it's working like a charm!

import torch
from diffusers.utils import export_to_video
from diffusers import LTXPipeline, LTXVideoTransformer3DModel, GGUFQuantizationConfig

ckpt_path = (
    "https://huggingface.co/city96/LTX-Video-gguf/blob/main/ltx-video-2b-v0.9-Q3_K_S.gguf"
)
transformer = LTXVideoTransformer3DModel.from_single_file(
    ckpt_path,
    quantization_config=GGUFQuantizationConfig(compute_dtype=torch.bfloat16),
    torch_dtype=torch.bfloat16,
)
pipe = LTXPipeline.from_pretrained(
    "Lightricks/LTX-Video",
    transformer=transformer,
    generator=torch.manual_seed(0),
    torch_dtype=torch.bfloat16,
)
pipe.enable_model_cpu_offload()

prompt = "A woman with long brown hair and light skin smiles at another woman with long blonde hair. The woman with brown hair wears a black jacket and has a small, barely noticeable mole on her right cheek. The camera angle is a close-up, focused on the woman with brown hair's face. The lighting is warm and natural, likely from the setting sun, casting a soft glow on the scene. The scene appears to be real-life footage"
negative_prompt = "worst quality, inconsistent motion, blurry, jittery, distorted"

video = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=704,
    height=480,
    num_frames=161,
    num_inference_steps=50,
).frames[0]
export_to_video(video, "output_gguf_ltx.mp4", fps=24)

@DN6 DN6 requested a review from a-r-r-o-w December 19, 2024 17:05
Copy link
Member

@a-r-r-o-w a-r-r-o-w left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

LGTM!

@sayakpaul
Copy link
Member

@DN6 @a-r-r-o-w I have also added a mention of the GGUF single-file loading support in the LTXVideo docs. I hope that is okay.

@sayakpaul sayakpaul merged commit dbc1d50 into main Dec 20, 2024
15 checks passed
@sayakpaul sayakpaul deleted the ltx-gguf branch December 20, 2024 06:22
Foundsheep pushed a commit to Foundsheep/diffusers that referenced this pull request Dec 23, 2024
* update

* add docs.

---------

Co-authored-by: Sayak Paul <[email protected]>
sayakpaul added a commit that referenced this pull request Dec 23, 2024
* update

* add docs.

---------

Co-authored-by: Sayak Paul <[email protected]>
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

4 participants