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:
- 96043c0f2ace0d562e87d85212eb107eae5995406e7fb2304fd7728f5f9d4912
- Size of remote file:
- 3.22 MB
- SHA256:
- 96976d3cba99c7924d031945d0ce56bd9894c6d55fc0fd2a64094f1646006188
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