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
- Draw Things
- DiffusionBee
- Xet hash:
- dc55f957e935ee6cb1543a41da10de21a2c04e306ff8f78189c6bef0b4586119
- Size of remote file:
- 3.49 MB
- SHA256:
- 6fe11db6b29ecf3703309dd6fe58f8009ac534530587d879e5f6eaa91eef02c1
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