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:
- fd420e5e3dec243c615f26be1dd489eba4f8d9b1f52f370d18105959472badf1
- Size of remote file:
- 6.59 MB
- SHA256:
- 8b3298f87803845c20d99195a99fa6de2636560b4c2d8c45a53c98a81a4b32d5
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