Open-Weight Models Under unknown

Model · Text to video

LTX-2.3-uncensored-v1.4-FP8

Chris Cole

UPDATED 8/21/2026 - The latest LTX Video-2.3 Uncensored Turbo v1.4 DiT with Distilled LoRA baked in. Modes: img2video, txt2video, FL2VA / T2VA / I2VA / REF2VA/ AUDIO-TO-VIDEO. A pre-merged, GGUF and FP8 build of LTX Video-2.3 with three fine-tunes baked into the weights: 1. Eros10 NSFW LoRA - Eros10 is known for high quality, coherence, and NSFW (1.0 strength) 2. DMD Distilled LoRA - DMD distilled LoRA promises faster generations, better facial preservation (I2V), and MUCH better instruction following than v1 or stock LTXV23. (1.0 strength) 3. LTX Video ICLoRA Detailer - Official LTXV In-Context LoRA for better reference image adherence. (0.6 strength) The model can produce video in as…

Model · Text to image

flux2-klein-GGUF

Chris Cole

9B step-distilled text-to-image — 4 inference steps, ~8s per 1024² image on an A100. One source, three prompts, identical settings — so the difference you see is the prompt. This model's txt2img preset is 4 steps — it is a distilled 4-step model and that is correct for text-to-image. Running img2img at 4 steps produces output indistinguishable from the source at every strength from 0.3 to 0.9: there is not enough schedule left to restyle anything. At 24 steps with guidance 4.0 — the settings this repo's own img2img integration test uses — it restyles properly. The three results above are the same photograph as oil, watercolour and pencil, with the composition intact in each and the medium…

LoRA / QLoRA adapter fine-tuned for Tedim Zolai (Zo; ZVS 2018 orthography) generation and bilingual Zo↔English assistance. Part of the Zolai-AI project — a RAG-first bilingual AI toolkit to preserve and teach Tedim Zolai. Generated and curated Zolai text for this project follows Tedim ZVS 2018: - Prefer native-speaker review for dialect naturalness; Hakha forms must not be treated as Tedim ZVS. - Generate / continue Tedim Zolai text under ZVS 2018 norms - Assist Zo↔English drafting (dictionary / parallel-corpus style tasks) - Experimentation for low-resource Tibeto-Burman NLP research - Load as a PEFT adapter on Qwen/Qwen2.5-3B-Instruct for apps, tutors, or RAG-backed bots (e.g. zolai.space…

very awa, masterpiece, best quality, absurdres, perfect quality, detailed background, intricate details lowres, worst quality, bad quality, bad anatomy, signature, username, logo, watermark, artist name, bad hands You should use Zelretch22 to trigger the image generation. Download them in the Files & versions tab.

Model

mist

Computational Metabolomics Research Group

Sam Goldman. MIST checkpoints from Zenodo record 8316682. The deposit identifies the model/data licence only as other-open; no exact licence terms have been identified. This reports the upstream category, not a new licence grant or an application of the software's MIT licence to the checkpoints. The upstream designation does not identify specific licence terms; the Hub category is unknown. The software license is reported separately; it does not replace the model/data license. These are byte-identical upstream files. No model conversion was performed.

A pre-merged, quantized build of Qwen-Image-Edit-2511 with two fine-tunes 1. Turbo (Lightning 4-step) 2. NSFW Lora A standard edit showing the base capability is intact: Image-to-Image works and is very fast: The highlight of this model. Fast and uncensored. - Change the channel to "Channel (remote)" - and search for comfyui-gguf-loader Use the workflow Link

Testing You should use Zelretch to trigger the image generation. Download them in the Files & versions tab.

Testing You should use Zelretch22 to trigger the image generation. You should use old man to trigger the image generation. You should use zelretchclothes to trigger the image generation. Download them in the Files & versions tab.