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Running on Zero
| title: GenFirst Text-to-Image | |
| emoji: 🎨 | |
| colorFrom: indigo | |
| colorTo: gray | |
| sdk: gradio | |
| sdk_version: 6.31.0 | |
| app_file: app.py | |
| short_description: GenFirst EiT MMDiT-XL/2 512px text-to-image | |
| python_version: "3.12" | |
| startup_duration_timeout: 30m | |
| license: cc-by-nc-4.0 | |
| models: | |
| - ByteDance-Seed/GenFirst | |
| - openai/clip-vit-large-patch14 | |
| Demo of the **GenFirst** text-to-image prior (EiT, MMDiT-XL/2, variant A, 512x512) from | |
| [ByteDance-Seed/GenFirst](https://huggingface.co/ByteDance-Seed/GenFirst). | |
| At startup the Space loads the official files directly from the model repo: | |
| - the **EMA** weights of `text-to-image/variant-a/eit-t2i-variant-a-512.pt`. Only the EMA tensors (~5.3 GB of the 21 GB checkpoint) are fetched, using HTTP range reads (`lazy_ckpt.py`). | |
| - the paired end-to-end FLUX VAE `vae/e2e-flux-vae-sit-imagenet-s2` and its latent statistics. | |
| Sampling runs under fp16 autocast, as in the reference `infer_t2i.py`, and follows the authors' GenEval protocol: 50-step Euler, CFG 7.0 on the interval [0.35, 1.0]. | |
| Weights are © ByteDance, licensed **CC BY-NC 4.0** (non-commercial research use only). Code is ported from the MIT-licensed GitHub repository | |
| (the MMDiT comes from Stability-AI/sd3-ref, MIT). Example prompts come from the authors' `infer_t2i.py` defaults and their GenEval smoke set. | |