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
File size: 348 Bytes
fd6ab1f | 1 2 3 4 5 6 7 8 9 10 11 12 | from diffusers.modular_pipelines import WanModularPipeline
from modular_blocks import ChronoEditBlocks
repo_id = "nvidia/ChronoEdit-14B-Diffusers"
blocks = ChronoEditBlocks()
blocks.push_to_hub("diffusers-internal-dev/chronoedit-modular")
pipe = WanModularPipeline(blocks, repo_id)
pipe.push_to_hub("diffusers-internal-dev/chronoedit-modular")
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