Instructions to use Elvenson/diffuser_inference with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Elvenson/diffuser_inference with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Elvenson/diffuser_inference", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Commit History
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Change inference flag, use byte instead of base64
Quoc Bao Bui322fe05 -
Add handling text prompt input only logic
Quoc Bao Buib1bfbf4 -
Add access token
Quoc Bao Buieddf5bd -
Update README
Quoc Bao Buie762c44 -
Add handler
Quoc Bao Buia7eb3c4 -
initial commit
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