Instructions to use XCLiu/2_rectified_flow_from_sd_1_5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use XCLiu/2_rectified_flow_from_sd_1_5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("XCLiu/2_rectified_flow_from_sd_1_5", 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
Commit History
-
Update README.md
934962e
-
Update README.md
0f2635d -
Update README.md
8fab218 -
Update README.md
7305e56 -
Update README.md
b1b0725 -
Update README.md
6e77f5e -
Update README.md
f26a78d
-
Upload diffusion_pytorch_model.safetensors
a34d31c -
Upload model.safetensors
e4afa0e -
Upload model.safetensors
4593c42 -
Upload diffusion_pytorch_model.safetensors
d208655 -
Upload 11 files
ffd278e -
initial commit
e9c9800