Instructions to use neonforestmist/Clover-Image-Tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use neonforestmist/Clover-Image-Tiny with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("neonforestmist/Clover-Image-Tiny", torch_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
- Local Apps Settings
- Draw Things
- DiffusionBee
Model and Data Licenses — Clover Image Tiny Research Preview
This is a conservative license and provenance ledger for the exact research preview. The complete bundled license texts control over this summary. This is not legal advice.
| Component | Exact identity | License/status | Consequence |
|---|---|---|---|
| Preview model weights | Stage B step 500; checkpoint 4a5b99ff18478742528a0d31c97dcee939b166a51be858721d40ad5984110893 |
CreativeML OpenRAIL-M derivative | Retain the complete terms, attribution, modification notice, and use restrictions |
| Starting student | nota-ai/bk-sdm-tiny-2m@aad3e0e8ba61b7cb9f64869dc4e586f8ad9d3665 |
Pinned model card declares CreativeML OpenRAIL-M | Derivative-weight obligations apply |
| Frozen teacher | CompVis/stable-diffusion-v1-4@133a221b8aa7292a167afc5127cb63fb5005638b |
Pinned model card declares CreativeML OpenRAIL-M | Distillation from outputs and activations retains derivative-weight obligations |
| Tokenizer and text encoder | Byte-identical components in the two pinned pipelines | CreativeML OpenRAIL-M lineage | Bundled as upstream model components |
| VAE | Byte-identical component in the two pinned pipelines | CreativeML OpenRAIL-M lineage | Bundled as an upstream model component |
| Clover fine-tuning data | Spawning/PD3M@2a5eb24a8dccf245acd8e56341761aee06da0bdf; manifest 50c1249f1cb0d8d690a9acc451ca10c9432eb5a7f4e26f34acb5462096e72322 |
Dataset declaration: CDLA-Permissive-2.0; accepted items: CC0-1.0 or Public Domain Mark 1.0 | Dataset and item terms remain separate from the model license; raw data is not bundled |
| Calibration captions | Captions paired with the exact accepted PD3M items | Same recorded item/dataset lineage | Not a separate untracked training corpus |
| Example and packaging code | Files authored by the Clover-Image project | Apache-2.0 | Code license does not relicense model weights or data |
| Runtime dependencies | Pinned packages listed in requirements.txt |
Their own upstream licenses | Installed separately; no dependency is relicensed by this package |
Weight-license selection
Both pinned upstream weight repositories declare CreativeML OpenRAIL-M. The Stage B process modified the starting BK-SDM-Tiny-2M weights using task/output and feature distillation from the frozen Stable Diffusion v1.4 teacher plus the licensed calibration corpus. The resulting weights are therefore labeled as a CreativeML OpenRAIL-M derivative rather than Apache-2.0.
The bundled canonical CreativeML OpenRAIL-M file is 14,385 bytes with SHA-256
be351ebe7ac01bcdbb018639aadcfd38f136b7dc3f2a3d4d3a24db51d1b210ef.
The separately bundled Apache-2.0 project-code license is 9,147 bytes with
SHA-256
e26a0375b714267325c27905ba947fdc41ebc0b7a36940a49ae12379ed6208d6.
Calling this artifact a research preview does not create a new weight license or waive OpenRAIL-M restrictions. Users must review and follow the complete terms for copying, redistribution, modification, and use.
Data terms
The fine-tuning dataset gate is CDLA-Permissive-2.0, while each accepted item
retains its recorded CC0-1.0 declaration or Public Domain Mark 1.0 status.
Neither the model-weight license nor the project-code license replaces those
data terms. Source images and the gated training shard are not redistributed in
this package.
Known unresolved provenance scope
The Clover calibration set has an exact 1,000-row manifest. The upstream foundational data does not have equivalent per-record evidence in this project. The pinned BK-SDM model card identifies LAION-Aesthetics V2 6.25+ and 2,256,472 pairs, but not the item-level evidence demanded by Clover's full release policy. The project likewise does not claim a complete per-record audit of every foundational example behind the upstream teacher.
Pinned model IDs, revisions, and license declarations are evidence of weight lineage; they are not substitutes for foundational data provenance. This unresolved inherited scope is a principal reason the package remains RESEARCH PREVIEW · PRODUCTION PILOT · NOT RELEASE-READY.