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
- Draw Things
- DiffusionBee
- Xet hash:
- ef3d3431741791a6bf9cb2cc46bbbed5dddd8efa031a75271fedae782b25f792
- Size of remote file:
- 10.3 GB
- SHA256:
- d8c99466612dbe9c2d425572696d1e5b4e9c25c276ee60e340046af103b093c7
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