mushfiqur-good-boyyy/m2-craftly-lu

M2-Craftly-Lumina (by Mushfiqur)

A private, rebranded build of Lumina-Image-2.0 by Alpha-VLLM — a 2 billion parameter flow-based diffusion transformer for text-to-image generation.

This is a rebrand, not a new architecture. Weights and architecture are unchanged from the upstream model; only class names (pipeline + inner transformer block), packaging, and this model card are customized for personal/private use.

• —Original model: Alpha-VLLM/Lumina-Image-2.0 (Apache 2.0 license)
• —Rebrand: M2-Craftly-Lumina by Mushfiqur
• —Visibility: Private (shared only with invited collaborators)

## Usage

    import torch
    from diffusers import Lumina2Pipeline as M2CraftlyLuminaPipeline  # same class, renamed on load

    pipe = M2CraftlyLuminaPipeline.from_pretrained("mushfiqur-good-boyyy/m2-craftly-lu", torch_dtype=torch.bfloat16)
    pipe.enable_model_cpu_offload()

    image = pipe(
        "a cat holding a sign that says hello",
        height=1024,
        width=1024,
        guidance_scale=4.0,
        num_inference_steps=40,
    ).images[0]
    image.save("output.png")

Note: this is a 2B-parameter model. A GPU with meaningful VRAM (or CPU offload, which will be slow) is recommended — a plain 8GB-RAM, CPU-only machine will struggle.