Text-to-Image
Diffusers
Safetensors
English
image-generation
class-conditional
imagenet
pixeldit
flow-matching
pixel-space
dit
Instructions to use BiliSakura/PixelDiT-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BiliSakura/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("BiliSakura/PixelDiT-diffusers", dtype=torch.bfloat16, device_map="cuda") prompt = "A golden retriever playing in a sunny garden" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 2, | |
| "cache_implementation": "hybrid", | |
| "eos_token_id": [ | |
| 1, | |
| 107 | |
| ], | |
| "pad_token_id": 0, | |
| "transformers_version": "4.46.0" | |
| } | |