Text-to-Image
Diffusers
Safetensors
English
Chinese
LLaDAImagePipeline
image-generation
image-editing
image-to-image
Instructions to use inclusionAI/LLaDA-Image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use inclusionAI/LLaDA-Image with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("inclusionAI/LLaDA-Image", 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
- Xet hash:
- addc8afe1eb53e2d56b435f3f5bd481eac298334e3e4c2bf48f17b03f377d496
- Size of remote file:
- 2.89 GB
- SHA256:
- de12711a3e750cfd21efa3b56814c85b2033ff46cbec80e02aa446f8eb6f0e10
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