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
Download pytorch_lora_weights.bin from rafaym/DreamBoothAvatar: direct link, hf CLI and curl.
- Browser
- Download file 3.29 MB
-
https://huggingface.co/rafaym/DreamBoothAvatar/resolve/main/pytorch_lora_weights.bin
- Command line
-
hf download hf://rafaym/DreamBoothAvatar/pytorch_lora_weights.bin
-
curl -L -o pytorch_lora_weights.bin https://huggingface.co/rafaym/DreamBoothAvatar/resolve/main/pytorch_lora_weights.bin
3.29 MB
- Xet hash:
- 033d5dc1243866e7e9d370ab20e5335aa24c407702a47e91ac155e12a494ab41
- Size of remote file:
- 3.29 MB
- SHA256:
- ab3c75cc8a6d47c1215ebbfcb17a4e3203df2a1357d7da0d8761491044bce31f
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