Instructions to use hdparmar/tradfusion-e5-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hdparmar/tradfusion-e5-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hdparmar/tradfusion-e5-diffusers", 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
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- fe5fb44be612812e07898c05a62f81d7d4db24b2137d9562e23e36c55629c77f
- Size of remote file:
- 14.6 GB
- SHA256:
- 3b77ecf0afd74723b6222cbf828557e9628d3510da7d91f1f3663db8249dee00
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