Instructions to use RyxnSen/RyanZ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RyxnSen/RyanZ with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("undefined", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("RyxnSen/RyanZ") prompt = "Ryan" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add RyanZ.safetensors
Browse files- RyanZ.safetensors +3 -0
RyanZ.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:eb5b5ddc7cb39d2139ffa89fe4c192dc3bda4583ed6e49fc62bb0014308d7bbe
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size 85094800
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