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
Download sigvq/config.json from inclusionAI/LLaDA-Image-FP8: direct link, hf CLI and curl.
- Browser
- Download file 414 Bytes
-
https://huggingface.co/inclusionAI/LLaDA-Image-FP8/resolve/main/sigvq/config.json
- Command line
-
hf download hf://inclusionAI/LLaDA-Image-FP8/sigvq/config.json
-
curl -L -o config.json https://huggingface.co/inclusionAI/LLaDA-Image-FP8/resolve/main/sigvq/config.json
414 Bytes
| { | |
| "_class_name": "LLaDAImageSigVQModel", | |
| "_diffusers_version": "0.40.0.dev0", | |
| "attention_bias": true, | |
| "attention_dropout": 0.0, | |
| "codebook_embed_dim": 2048, | |
| "codebook_size": 16384, | |
| "hidden_size": 1536, | |
| "image_size": 2048, | |
| "in_channels": 3, | |
| "intermediate_size": 6144, | |
| "norm_eps": 1e-06, | |
| "num_attention_heads": 16, | |
| "num_hidden_layers": 40, | |
| "patch_size": 16, | |
| "semantic_embed_dim": 4096 | |
| } | |