cuio/DreamLite-mobile
01
Requirements
This pipeline relies on Qwen3VLForConditionalGeneration / Qwen3VLProcessor. Due to upstream changes in transformers >= 5.0, you must pin:
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 for fast, on-device inference. No CFG; runs in ~4–8 steps at 1024×1024.
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.
