Instructions to use finetrainers/CogVideoX-1.5-crush-smol-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use finetrainers/CogVideoX-1.5-crush-smol-v0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("finetrainers/CogVideoX-1.5-crush-smol-v0", dtype=torch.bfloat16, device_map="cuda") prompt = "PIKA_CRUSH A red toy car is being crushed by a large hydraulic press, which is flattening objects as if they were under a hydraulic press." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files
pytorch_lora_weights.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:902c36d04f36fa1c4ed00d4d0de7c6123976637d9d908ce1eaae6d6280d62614
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size 132164656
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