prithivMLmods / Model details
flux-3-image-klein-prompt-upsampler-abliterated
prithivMLmods/flux-3-image-klein-prompt-upsampler-abliterated
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About this model
prithivMLmods’ flux-3-image-klein-prompt-upsampler-abliterated is an uncensored derivative of Black Forest Labs’ black-forest-labs/flux-3-image-klein-pup prompt upsampler, which the card says was fine-tuned from Qwen3.5-9B. According to the model card, safety alignment was stripped through weight orthogonalization, and the checkpoint expands short image requests into detailed prompts for FLUX 3 Image Klein rather than generating images directly. The creator says it supports text-to-image, image editing with up to 10 reference images, and bounding-box layout modes, with output intended for the FLUX 3 Image Klein pipeline. The creator also says built-in refusals are absent while optional safety checks remain in the inference code, and reports that the tested samples showed no refusals. The repository provides safetensors weights under Apache 2.0; the card identifies English-only output, resized reference images, and FLUX 3 Image Klein-specific tuning as limitations, and marks the model as experimental and intended for research and learning.
Description sources
Source-based description, not an independent evaluation. Check the linked sources for the creator’s claims and limitations.
Size and formats
- Base model
- black-forest-labs/flux-3-image-klein-pup
- Parameters
- 9.40981B
- Main repository formats
- safetensors
- License tag
- apache-2.0
- Languages
- en
- Last updated
- 2026-10-20 · 04:52:13.000 UTC
What changed
Model types are creator-reported, not independently tested. These labels describe source metadata, not a guarantee of behavior.
- abliteratedsource tag:
abliterated
- abliteratedmodel name:
flux-3-image-klein-prompt-upsampler-abliterated
- uncensoredsource tag:
uncensored
- fine-tunedsource tag:
base_model:finetune:black-forest-labs/flux-3-image-klein-pup
Family evidence
These groupings are source-reported. Explicit base identifiers take priority over generic architecture tags.
- No supported family evidence recorded.
Available versions
Versions appear here only when they explicitly name this exact model as their source. Check each repository for available files.
- Main repository files ↗safetensors
- No other explicitly linked versions recorded.
Link to this listing
Made or quantized this model? Paste one of these into your model card or README so people can find this listing.
Markdown
[Listed on Custom Clankers](https://customclankers.com/models/prithivmlmods-flux-3-image-klein-prompt-upsampler-abliterated-81878ff89b60/)HTML
<a href="https://customclankers.com/models/prithivmlmods-flux-3-image-klein-prompt-upsampler-abliterated-81878ff89b60/">Listed on Custom Clankers</a>Plain text links only: no image, no script, nothing loaded from this site.
Customize or build on this model
Listed from public GitHub data, not tested by us. Read the code and license before you run anything.
Tools to customize it further
Remove more refusals
- Heretic ↗ ★ 36,365
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- OBLITERATUS ↗ ★ 8,941
A larger refusal-removal toolkit with several abliteration methods, usable locally or through a hosted Hugging Face Space. Check the telemetry setting before you run it: the README describes telemetry as opt-in, but on by default in the Spaces version.
Fine-tune it on your own data
- Unsloth ↗ ★ 78,505
A desktop app and Python library for running and training models locally. Its README lists LoRA, QLoRA, full fine-tuning, DPO and GRPO, plus export to formats including GGUF, on Windows, Linux, WSL and macOS.
- LlamaFactory ↗ ★ 75,708
Fine-tunes more than 100 language and vision-language models from a command line or a browser-based Web UI, aimed at training without writing code.
Make a smaller download (quantize)
- llama.cpp ↗ ★ 132,209
Runs models locally and includes the tools behind most GGUF files. A conversion script turns Hugging Face weights into GGUF, and llama-quantize shrinks a high-precision GGUF to lower-bit formats, which can cost some accuracy.
- MLX LM ↗ ★ 7,461
Apple's MLX package for running and fine-tuning models on Apple silicon. It can quantize models and upload them to the Hugging Face Hub, and supports LoRA and full fine-tuning.
Merge it with another model
- mergekit ↗ ★ 7,414
Merges pretrained models with many merge methods. It works out-of-core, so merges can run on a CPU or with as little as 8 GB of VRAM, and it also handles LoRA extraction and mixture-of-experts merges.
Learn the techniques
- LLM Course ↗ ★ 84,653
A free course with roadmaps and Colab notebooks. Its notebooks include one-click tools for merging with MergeKit, quantizing to GGUF, GPTQ, EXL2, AWQ and HQQ, and automatic abliteration with custom datasets.
Source provenance
- Downloads
- 188
- Likes
- 6
- Metadata checked
- 2026-10-24 · 16:13:40 UTC
- First seen in index
- 2026-10-24 · 16:13:40 UTC
- Source revision
- c707a67fe48eb6aeb65862595e775e7b6bcabf04
Source-card excerpt
Source model card excerpt: flux-3-image-klein-prompt-upsampler-abliterated flux-3-image-klein-prompt-upsampler-abliterated is an uncensored variant of BFL's 9B vision-language prompt upsampler (fine-tuned from Qwen3.5-9B) that expands short image requests into the detailed prompts
From prithivMLmods/flux-3-image-klein-prompt-upsampler-abliterated. Creator model-card excerpt, not an independent review.
Inspect before you run
Low refusal is not proof of correctness. Outputs can be inaccurate, harmful, or biased. Review the model card, license and files yourself. A license tag is not commercial-use advice. Parameter counts are source metadata; no hardware compatibility is implied.
This directory does not host or redistribute model weights. Refusal profiles are measured by us on a fixed prompt set; all other behavior claims are source-reported.
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