Instructions to use lember/aigaci-dev2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lember/aigaci-dev2 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("lember/aigaci-dev2") prompt = "aigaci" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 72894935d2781a8de8c352c83d46657898624ba57a17848ff7d9558d5d6971b5
- Size of remote file:
- 131 MB
- SHA256:
- 375db0403ffeb447bee1954be2f379afb1e1116e5ceac6a0008efb3f21fdf48a
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