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
Download vae/diffusion_pytorch_model.safetensors from inclusionAI/LLaDA-Image: direct link, hf CLI and curl.
- Browser
- Download file 168 MB
-
https://huggingface.co/inclusionAI/LLaDA-Image/resolve/main/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://inclusionAI/LLaDA-Image/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/inclusionAI/LLaDA-Image/resolve/main/vae/diffusion_pytorch_model.safetensors
168 MB
- Xet hash:
- 9aa448bcbdac65aaa453a93a4431c0f91009b99e6e8352b6ab8b8eb9feb3ca32
- Size of remote file:
- 168 MB
- SHA256:
- 19874383f29bd4a716be716520647261e38aeaa50dcc29559e5f8d8186cf8f43
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