Instructions to use marshallhamzah/EchoX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use marshallhamzah/EchoX with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("marshallhamzah/EchoX", torch_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:
- 087f40ae5e9bb26fc78cb5655e77fb47f95ee1e385e78a09d113923710196921
- Size of remote file:
- 576 MB
- SHA256:
- 7e5b5117aaec85ba84bbd6e5d40f2a4ac46af5cd6ec693e5be85951d72c8f657
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