Instructions to use Jinl/DiffusionNFT-baselines with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jinl/DiffusionNFT-baselines with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-3.5-medium", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Jinl/DiffusionNFT-baselines") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from Jinl/DiffusionNFT-baselines: direct link, hf CLI and curl.
- Browser
- Download file 2.82 kB
-
https://huggingface.co/Jinl/DiffusionNFT-baselines/resolve/main/README.md
- Command line
-
hf download hf://Jinl/DiffusionNFT-baselines/README.md
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curl -L -o README.md https://huggingface.co/Jinl/DiffusionNFT-baselines/resolve/main/README.md
2.82 kB
| base_model: stabilityai/stable-diffusion-3.5-medium | |
| library_name: diffusers | |
| pipeline_tag: text-to-image | |
| tags: | |
| - lora | |
| - diffusionnft | |
| - baseline | |
| - training-logs | |
| # DiffusionNFT baselines | |
| Logs and LoRA checkpoint artifacts for **baseline experiments only**. | |
| Rank-aware algorithm experiments are excluded. | |
| Included runs: | |
| - `nft_sd3_geneval_2026.04.20_11.18.57` | |
| - `nft_sd3_geneval_2026.04.22_04.13.06` | |
| The archive contains 9 checkpoint directories and | |
| 703 source files (2.489 GiB before | |
| media compression; 2.488 GiB of published payload). | |
| These are adapters for Stable Diffusion 3.5 Medium, not the base model weights. | |
| ## Provenance and checkpoint ownership | |
| `experiment_provenance.csv` records the selected runs' saved Git commits, | |
| configurations, and baseline classification. | |
| The April 20 and April 22 runs record the upstream NVlabs/DiffusionNFT commit | |
| `cbb14f84b8312b620390dfcbe2fab69c1383b104`, with principal hyperparameters matching | |
| the upstream configuration. No working-tree snapshot or uncommitted diff was | |
| saved, so a byte-for-byte pristine source tree cannot be proved. | |
| Both runs recorded `logs/nft/sd3/geneval` as their checkpoint save directory. | |
| That directory was later reused by the April 23 run. The timestamps of | |
| `logs/nft/sd3_v0/geneval/checkpoints/checkpoint-0` through `checkpoint-240` | |
| (every 30 steps) align with the April 20 run, indicating a likely archived copy. | |
| There is no explicit move record. These artifacts retain their original paths. | |
| **No separately identifiable April 22 checkpoints were found.** | |
| ## Contents | |
| - `logs/nft_sd3_*/wandb/run-*/`: W&B binary records, configs, summaries, output | |
| logs, environment records, and generated-media archives for the selected runs. | |
| - `logs/nft/sd3_v0/geneval/`: the April 20-associated checkpoint archive, | |
| including LoRA, old-policy LoRA, optimizer state, and scaler state. | |
| - `artifact_manifest.jsonl`: payload paths, sizes, SHA-256 values, and source-file counts. | |
| - `SHA256SUMS`: checksums for all payload files. | |
| - `symlink_aliases.json`: original convenience aliases; target files are included | |
| once instead of duplicating `latest-run` and debug-log aliases. | |
| ## Download and extract | |
| Use the Hugging Face CLI or `huggingface_hub` to download selected files. | |
| Generated images are preserved losslessly in `media.tar.zst` next to their | |
| original parent directory. With GNU tar and zstd installed: | |
| ```bash | |
| sha256sum -c SHA256SUMS | |
| tar --zstd -xf path/to/media.tar.zst -C path/to/parent | |
| ``` | |
| Run checksum verification from the repository root. Original local files were | |
| not modified. Credential-pattern scans were performed before publication; | |
| redaction counts, if any, are recorded in the manifest. | |
| Upstream code: https://github.com/NVlabs/DiffusionNFT | |
| Base model: https://huggingface.co/stabilityai/stable-diffusion-3.5-medium | |