Instructions to use rafaym/DreamBoothAvatar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rafaym/DreamBoothAvatar with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("rafaym/DreamBoothAvatar") prompt = "Rafay" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- ad1fa2db450373055386c1a95e0f050d82abdaf5b91639ec6d4afae64310c492
- Size of remote file:
- 3.29 MB
- SHA256:
- b12464502d5d48aba7b5f89943d8eea24e88c858e1a39f6ead678555a9d98173
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