Instructions to use Andyrasika/avatar_diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Andyrasika/avatar_diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Andyrasika/avatar_diffusion", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Transformers
How to use Andyrasika/avatar_diffusion with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Andyrasika/avatar_diffusion", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- ce01bb886be320678a1dd3c2452328b633c3f6af40213b0ad66e765ff8358e78
- Size of remote file:
- 1.36 GB
- SHA256:
- 72b6a31d9b8fd49b0ac1a8d540bf91851d857a146a2030cf07e68ef4a3da5fe6
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