Instructions to use lightx2v/Self-Forcing-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lightx2v/Self-Forcing-FP8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lightx2v/Self-Forcing-FP8", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Add files using upload-large-folder tool
Browse files
self_forcing_fp8.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:7fbc6fbeee736ffbf45bfd020da73d482bd95134d98f09f63feec11bdb6ad95e
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size 1448861800
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