Instructions to use diffusers-internal-dev/chronoedit-modular with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers-internal-dev/chronoedit-modular with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusers-internal-dev/chronoedit-modular", 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:
- c1016c6bd13bdf19c2c99dbf3a7913a2900eb34622a78f052aff188e5f879a7d
- Size of remote file:
- 897 kB
- SHA256:
- b29c5b280640a727812d58ace45b0ab06cbdd68e2e1cbdef3b3b3d5afd6b8436
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