Instructions to use wikeeyang/Flux2-Klein-9B-True-V3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wikeeyang/Flux2-Klein-9B-True-V3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wikeeyang/Flux2-Klein-9B-True-V3", 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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- fe0d9aa435d4ea48e946e05206f3f4a2ae83d8fe882f8fc30b865fdea9084e8f
- Size of remote file:
- 9.41 GB
- SHA256:
- ff2f21d41dbfde4376658a6c38ac58562d2755137bfd802c9f46b40e899ad32d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.