Instructions to use madtune/pixeldit-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use madtune/pixeldit-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nvidia/PixelDiT-1300M-1024px", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("madtune/pixeldit-diffusers") 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": "PixelDiTPipeline", | |
| "_diffusers_version": "0.31.0", | |
| "transformer": ["diffusers", "PixelDiTModel"], | |
| "scheduler": ["diffusers", "FlowMatchEulerDiscreteScheduler"], | |
| "text_encoder": ["transformers", "PreTrainedModel"], | |
| "tokenizer": ["transformers", "PreTrainedTokenizerFast"] | |
| } | |