Instructions to use AI4Bread/Eyedoctor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AI4Bread/Eyedoctor with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("FlagAlpha/Llama2-Chinese-7b-Chat", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("AI4Bread/Eyedoctor") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- Xet hash:
- f0d4971f1ab036bd8601cac3e02cf5854dfcaeded9e06706687ddecf65c2435a
- Size of remote file:
- 33.7 MB
- SHA256:
- dbfcfb49113405be60aa5c96e41d4ffe1834ab3f0ee18f1875206dadf9cc1e92
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