README.md

---
license: cc-by-nc-4.0
library_name: diffusers
pipeline_tag: text-to-image
base_model: carlofkl/DreamLite-base
---

# Requirements 
This pipeline relies on `Qwen3VLForConditionalGeneration` / `Qwen3VLProcessor`. Due to upstream changes in `transformers >= 5.0`, you must pin:
```bash                                                                                                                                                     
pip install "transformers==4.57.3"                                                                                                                          
```

Using `transformers >= 5.0` will produce visible block-pattern artifacts in the generated image.

# DreamLite-Mobile

Distilled single-branch variant of
[DreamLite-base](https://huggingface.co/carlofkl/DreamLite-base) for fast,
on-device inference. No CFG; runs in ~4–8 steps at 1024×1024.

```python
import torch
from diffusers import DreamLiteMobilePipeline

pipe = DreamLiteMobilePipeline.from_pretrained(
    "carlofkl/DreamLite-mobile", torch_dtype=torch.bfloat16
).to("cuda")
image = pipe("a corgi astronaut", num_inference_steps=8).images[0]
```

License: CC BY-NC 4.0 (non-commercial). A full model card will be added once
the diffusers integration PR is merged.