Instructions to use B4100/flux4play with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use B4100/flux4play 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/flux4play") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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Browse files- FluxK4Play.v1.safetensors +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:379441e9255922e6603db361a8b7e1a524de3f31dcf87ed8b077b9a78243ebb7
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Git LFS Details
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