Instructions to use codeShare/Flux2Klein_AIO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use codeShare/Flux2Klein_AIO with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("codeShare/Flux2Klein_AIO", 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:
- 882557ac09b7cf3a531dde4c066c4c52988cd47a7e8075a03ef6e66d4dfaea0a
- Size of remote file:
- 7.75 GB
- SHA256:
- a3b20edb25df63790c34abd7b0e926f25b5307467c1145fc0e2b699962cbcb7a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.