Instructions to use antonellaavad/jamie with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use antonellaavad/jamie with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2-1-base", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("antonellaavad/jamie") prompt = "photo of jsd" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- fcbbe2756cb54de490d29c30b8ad4e54acbb0b64ad60a641db2e2296de90f795
- Size of remote file:
- 3.42 MB
- SHA256:
- 5bff263ca7c4462791a78b4c2d26d7bf54f4e2ee1c84704b530bd1558d7ef5ea
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