Instructions to use obsxrver/wan2.2-t2v-scat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use obsxrver/wan2.2-t2v-scat with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.2-T2V-A14B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("obsxrver/wan2.2-t2v-scat") prompt = "A man with short gray hair plays a red electric guitar." output = pipe(prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
Making it come out the right hole in I2V
any suggestions for this? (I love this Lora BTW)
anyhow, if you see this OP, I'd be willing to pay for an I2V version that does not alter faces.
I think I know why it has problems with i2v, currently training a new one with an updated dataset that should make it work.
Will upload for free, but of course I accept donations π
XRP raa6cT47iv1KJxjLWwdQ7bJAyEPC9CfKFE
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0xfD529b09974Ee51E7b6Fd2b5c7559a2D2c490178
LTC
LV3GKSomGYw2K7uqgUVjHg1YuauPmc1ztm
XMR
887YE2tQJqGYS5w8qdmQFt8frQGcWLvnbLfdB9nnjVfGLhuqfzEB3X7eSedRNHfdFV5Lc2LvkjGge4ougRRmaNrzT1dQANG
I also made a LoRA with a similar concept, and there was a similar problem.
Since the holes are close to each other, it has to learn their exact positions, which is quite difficult. In such cases, it seems that writing a very precise prompt increases the accuracy of the holes.
I also made a LoRA with a similar concept, and there was a similar problem.
Since the holes are close to each other, it has to learn their exact positions, which is quite difficult. In such cases, it seems that writing a very precise prompt increases the accuracy of the holes.
Thanks, can you share a prompt example ?