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", torch_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:
- 00dc663ff854d0c1b30a6a7b5257d4b6585a9dd4ef3047866e1999be6b106556
- Size of remote file:
- 6.59 MB
- SHA256:
- cd111d457b6f8a77c2eae1f4bedecf604f5cf3a5595912bc81cd9f90d364e86e
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