Instructions to use singelette/BIMBO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use singelette/BIMBO with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Phr00t/Qwen-Image-Edit-Rapid-AIO", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("singelette/BIMBO") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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BimbolipsV4-000003.safetensors
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oid sha256:380186ff4dfb94abf6057162bc4bccc5e5afbfc88ce8bca33b02583479db65c3
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One-click breast enhancement_p.safetensors
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oid sha256:13b19912c6504df46c3f0117d2249cda7fffe76570f8b7590d6be4865ae12797
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size 295145769
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images/IMG_0726.png
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Git LFS Details
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