Text-to-Image
Diffusers
Safetensors
English
Chinese
LLaDAImagePipeline
image-generation
image-editing
image-to-image
Instructions to use inclusionAI/LLaDA-Image-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use inclusionAI/LLaDA-Image-FP8 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-FP8", 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
| { | |
| "_class_name": "LLaDAImagePipeline", | |
| "_diffusers_version": "0.40.0.dev0", | |
| "queryformer": [ | |
| "diffusers", | |
| "LLaDAImageQueryFormerModel" | |
| ], | |
| "scheduler": [ | |
| "diffusers", | |
| "FlowMatchEulerDiscreteScheduler" | |
| ], | |
| "sigvq": [ | |
| "diffusers", | |
| "LLaDAImageSigVQModel" | |
| ], | |
| "text_encoder": [ | |
| "modeling_llada2uni_moe", | |
| "LLaDA2MoeModelLM" | |
| ], | |
| "text_projection": [ | |
| "diffusers", | |
| "LLaDAImageTextProjectionModel" | |
| ], | |
| "tokenizer": [ | |
| "transformers", | |
| "PreTrainedTokenizerFast" | |
| ], | |
| "transformer": [ | |
| "diffusers", | |
| "LLaDAImageTransformer2DModel" | |
| ], | |
| "vae": [ | |
| "diffusers", | |
| "AutoencoderKLFlux2" | |
| ] | |
| } | |