Instructions to use mzx/NEvo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mzx/NEvo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mzx/NEvo", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Commit History
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Clarify upstream NEvo attribution
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Add image-only pipeline mode
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Add MPS-compatible component dtypes
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Condense Intended Use / Out-of-scope / Risks to a single paragraph
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License under CC BY-NC 4.0; add Intended Use / Out-of-scope / Risks section
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Revert "fix params": restore original mutation/elite/video defaults
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Sync from GitHub: save_video fps default 12 + README fps/batch docs + fix params (mutation/elite/video defaults)
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Expose encoder input resolution as score_size (default 224)
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README quickstart: also save out.best.image
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Double default max_evals (400/200) + README consistency + fix run_roi_samples
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Default seed to None (random each run); expose used seed in metadata
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Default image + video generation to 512x512
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Progress bar: show only best-score-so-far (drop phase labels)
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~2.2x faster search (drop CPU PIL->tensor stall), live progress bar, README seed
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Per-stage eval budgets image_max_evals/video_max_evals (200/100)
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Fast default image/video kwargs + lighter default generations (10/5)
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Split into image_num_generations (50) / video_num_generations (25)
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Replace num_candidates/max_evals with num_generations (population_size + num_generations)
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Replace num_rounds with population_size (default 20), matching clean_search
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Tune default batch sizes (video_batch_size 4->8) from LTX-13B/SDXL sweep
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Align two-stage search with canonical: clean scoring, art_data stage-1, image/video batching
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Flag work-in-progress at top of model card
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default_score_frames = 24
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Fix stage-1: replicate still image to N frames for the encoder
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Two-stage pipeline (image search then motion search) with per-stage budgets
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Progress bar option for the genetic search
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Fix data path under HF symlink cache (drop __file__.resolve())
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Off-the-shelf custom_pipeline bootstrap + README
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Quickstart on defaults + Faster run block; drop seed_prompts
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Double-column gallery, drop How-it-works, swappable placeholder models
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Simplify How-it-works, drop gallery caption column, halve gallery videos
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Sync from GitHub: install instructions, updated gallery videos, deps
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Quickstart one-line video save + export helper
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ROI-enhanced search space + docs; EBA caption
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Update EBA gallery clip
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Model card: EBA example, drop pct, fsaverage5 note
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Add gallery assets
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Model card: gallery + website + citation
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Remove stray .pytest_cache
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Publish self-contained NEVO stimulus-synthesis pipeline + model card
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initial commit
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