Instructions to use harsha19/bb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use harsha19/bb 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("harsha19/bb") prompt = "rups" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Upload lora.TA_trained (10).safetensors
Browse files
lora.TA_trained (10).safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e729e44c2eea36032e310f44b6b8d2ff348391ab32a53be098465945afd12e20
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size 612746400
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