Instructions to use VitoCorleone72/Kimiko with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use VitoCorleone72/Kimiko 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("VitoCorleone72/Kimiko") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add 2 files
Browse files
Kimiko_Glenn.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:5db4bc53ddd00415c4eb8ffe425aa05717cc3ac44bf5dd2af7f02b8a545aa456
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size 19280144
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images/final_upscaled2_00219_.jpeg
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Git LFS Details
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