Instructions to use EnD-Diffusers/flowers-2-1-768 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/flowers-2-1-768 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EnD-Diffusers/flowers-2-1-768", dtype=torch.bfloat16, device_map="cuda") prompt = "fldsky1" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- f1cbec1609016166f97f91baf830338f59bba62eb38f462619bb4c541d542c5b
- Size of remote file:
- 1.36 GB
- SHA256:
- 4c0584a6dd1d9fbd6d01910f66b1c7a9a33c2f26f32f78f0ac72baedb986ed93
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