Instructions to use alvdansen/mooniverse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use alvdansen/mooniverse with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("alvdansen/mooniverse") prompt = "A rock climber scaling a cliff face, surreal style" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Interview request: Thoughs on genAI evaluation & documentation
Hi! We are researchers from Carnegie Mellon University conducting a study on the evaluation and documentation practices of generative AI developers. Given the popularity and success of your model, we're particularly interested in learning from your team's experiences.
Our study aims to:
Understand current practices in Gen AI model evaluation and reporting
Identify challenges faced by developers in these areas
Explore potential improvements in evaluation and documentation processes
We're seeking participants with hands-on experience in these aspects of Gen AI development. Would any members of your team be interested in participating in a (compensated) interview to share their insights?
For more details about the study and to express interest, here is our recruitment page: https://forms.gle/fbn4734YxrRg6mkBA