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:
- 6761d4f0d8cc7151f2615f027d1128b2a48d7a10ba4b8fc029449825ae9065c7
- Size of remote file:
- 9.71 GB
- SHA256:
- c8ae0ae2d3447d2f79d783cc0d85a72bc18261c8c7778b915ce59a56b90a039f
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