Instructions to use hjgp/rbft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hjgp/rbft 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("hjgp/rbft") prompt = "TOKC" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Upload flux_train_replicate_000001200.safetensors
Browse files
flux_train_replicate_000001200.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e169e614ec3fe153eb481f94b50a8163e48ce0d910ce08e75adf3392aec9f3f8
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size 171969424
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