Instructions to use falanaja/bocil1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use falanaja/bocil1 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("falanaja/bocil1") prompt = "bocil1 in the garden" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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bocil1.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:90d6ec6ec5dc2277cdc7c6c43bdea1d116d345d927c7de0647376841c2995967
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size 612746424
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images/workspace_trainsamples_794395703798519072_be566608-bac0-49b9-8f48-d29ed73ec085.png
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Git LFS Details
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