Instructions to use fal/Emu3.5-Image-FlashPack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fal/Emu3.5-Image-FlashPack with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fal/Emu3.5-Image-FlashPack", 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
- Xet hash:
- a5e7d0afdcdf866129d1bb82b23febdd8701328d5348aaf7ff474598df40ba03
- Size of remote file:
- 68.2 GB
- SHA256:
- 48fc773a700837b58e466686aa5d14d117714ca625158a6e9ce9cf04e65de87a
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