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:
- 76c1e96339dd9f3859729c0106077b9cf3fa15571fde96bfcf7c025909da756f
- Size of remote file:
- 3.29 MB
- SHA256:
- fa90fe1c51d0c053c97ec5866aeefa0d3eea6f255c03da9204a2f9c56cc6e9fa
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