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:
- 87c4690fc1ad9008e9dbcdeb94d8f02a61e8872e787c0d4f2732103d0807b314
- Size of remote file:
- 1.34 MB
- SHA256:
- cb8ae3b6fc035ec6541c383552f2910970c986e05a3ba8b30b3d2e5f4e298ba6
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