LTX-2.3-uncensored-v1.4
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Flux-Uncensored-V2
Flux-Uncensored-V2 is a abliterated and uncensored variant of black-forest-labs/FLUX.1-dev, published on Hugging Face by Shar514. It is creativeml-openrail-m licence. It is distributed across 7 repositories in Transformers format, totalling 26.9K downloads.
Specification
- Model name
- Flux-Uncensored-V2
- Source repository
- Shar514/Flux-Uncensored-V2
- Base model
- black-forest-labs/FLUX.1-dev
- Publisher
- Shar514
- Parameters
- Not determinable from name
- Hardware class
- Unknown
- Licence
- creativeml-openrail-m
- Task
- Image to image
- Context window
- Not documented
- Ablation scope
- Not stated by the publisher
- Formats available
- Transformers
- First indexed
- 27 Mar 2026
- Last updated
- 28 Jul 2026
Ablation technique
How Flux-Uncensored-V2 was modified, and what that implies.
Abliteration + uncensored fine-tune
Directional ablation combined with additional fine-tuning on unfiltered data, so behaviour diverges from the base model beyond refusal removal alone.
Reported scope: Not stated by the publisher. Publishers frequently omit this, so verify behaviour empirically rather than assuming full coverage.
From the publisher’s model card
“The FLUX Uncensored LoRA v2 is an enhanced version of the original FLUX Uncensored LoRA, designed for the base model black-forest-labs/FLUX.1-dev. This version addresses issues present in the previous release and offers improved performance and stability. The LoRA weights have been fine-tuned to remove the base...”
Running it
Commands are templates — confirm the exact repository and quant file before use.
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer
repo = "Shar514/Flux-Uncensored-V2"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
repo, torch_dtype="auto", device_map="auto"
)vLLM
vllm serve Shar514/Flux-Uncensored-V2 --trust-remote-codeDownloads and variants (6)
Every published repository of Flux-Uncensored-V2, including quantised re-releases by other authors.
| Repository | Format | Downloads |
|---|---|---|
| Shar514/Flux-Uncensored-V2source | Transformers | 24K |
| longlong1988/Flux-Uncensored-V2 | Transformers | 1.1K |
| Amirulazmi16/Flux-Uncensored-V2 | Transformers | 1K |
| whrw/Flux-Uncensored-V2 | Transformers | 356 |
| MarkBoyt/Flux-Uncensored-V2 | Transformers | 279 |
| ApolloQT/Flux-Uncensored-V2 | Transformers | 168 |
Security-team assessment
Derived from this model’s metadata and the publisher’s claims — not from benchmarks run by this site.
- Flux-Uncensored-V2 will attempt offensive-security prompts that a hosted commercial model declines, which is what makes it usable for red-team corpus generation and for measuring what an unaligned model of this class produces.
- The publisher does not state which layers were ablated, so assume nothing about refusal consistency — probe it directly.
- This release adds fine-tuning on unfiltered data, so its behaviour diverges from the base model beyond refusal removal — differences you measure cannot be attributed to ablation alone.
- Declared licence is creativeml-openrail-m, but the terms that bind you are black-forest-labs/FLUX.1-dev’s — a re-release cannot grant more than its parent.
Handling: run it isolated, put moderation in front of it if anyone outside your team can reach it, and verify the weights before loading — these are third-party artifacts. Full handling and licence guidance.
Metadata for Flux-Uncensored-V2 is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with Shar514, and does not independently verify publisher claims. See responsible use.