Instructions to use JohanP/MoebiusStyle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JohanP/MoebiusStyle with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("JohanP/MoebiusStyle") prompt = "MBSSTL" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Upload moebius-style.safetensors
Browse filesUse with "MBSSTL" keyword
moebius-style.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:8bc2956fcb7e93461d7558c5d99470a28fefed99d02144574af50f5c1d4ccced
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size 18214420
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