Instructions to use Ffgsd/lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Ffgsd/lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("zai-org/GLM-Image", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Ffgsd/lora") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Upload lora_5.safetensors
Browse files- lora_5.safetensors +3 -0
lora_5.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:25a661a29a80b781e6414625aeef9e0953e179a68695b462d814201440daa2df
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size 236117040
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