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:
- 6dca9e240088707f1aeda279951c18019318f921e72b9170ce41e2d2594b8bd0
- Size of remote file:
- 563 Bytes
- SHA256:
- 715829e32fb165fa1a4f8e58725497d96735edca5fca51b555511ac1bfc4ed5a
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