Text-to-Image
Diffusers
Safetensors
diffusers-training
stable-diffusion-xl
stable-diffusion-xl-diffusers
Instructions to use mapo-t2i/mapo-beta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mapo-t2i/mapo-beta with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mapo-t2i/mapo-beta", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
mapo-beta ? don't know about this model from paper.
#1
by pljj315 - opened
what is "mapo-beta" ? It's also trained with pic-a-pic dataset?
Is "Mapo" a combination of "safety" and "style"?
Yes, it's trained on Pick-a-Pic: https://huggingface.co/datasets/yuvalkirstain/pickapic_v2. I think we mention it from the model page.
"beta" denotes we might release an improved version of the model in the future.
Is "Mapo" a combination of "safety" and "style"?
Safety and style variants have their own checkpoints. You can them here: https://huggingface.co/mapo-t2i/.
sayakpaul changed discussion status to closed