Instructions to use Avener/AVeneR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Avener/AVeneR with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Avener/AVeneR", dtype=torch.bfloat16, device_map="cuda") prompt = "My name is Julien and I like to" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
metadata
license: artistic-2.0
datasets:
- k-mktr/improved-flux-prompts-photoreal-portrait
language:
- en
metrics:
- bleurt
base_model:
- ostris/OpenFLUX.1
new_version: black-forest-labs/FLUX.1-dev
pipeline_tag: text-generation
library_name: diffusers
tags:
- art