Instructions to use B4100/fluxplaytime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use B4100/fluxplaytime 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-V2", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("B4100/fluxplaytime") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 06007c5e992c8db1f5ef24cce84e3f13f63d5cefb0b6314811c5deaacc0767ab
- Size of remote file:
- 319 MB
- SHA256:
- cc369cda4370cde8244e5934ac7323b9d39f0797d729c1931c8c0621692ce91c
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