Instructions to use RyanDev1st/adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RyanDev1st/adapter with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("google/gemma-3-27b-it", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("RyanDev1st/adapter") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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Browse files- adapter_model.safetensors +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:f20a91316885b82d474328ef724145de98d885c43f694f27153097374680e9e9
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size 113644648
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