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Independent publisher

AK

akhaliq

Models in Library3
Datasets in Library0
Models on Hugging Face49
Followers10.3k

Compare the published evidence

This profile connects the 3 model and dataset records shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.

Published tasks: Image to image, Text to speech.

Reported licenses: apache-2.0, other. Open a record to review its specific license and conditions.

Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.

Models

Model · Image to image

Qwen-Image-2.1-Multiple-Angles-LoRA

AK

Reshoot any object from a controlled camera position: feed a photo, ask for a different azimuth/elevation, get the same subject from that angle. First camera-control LoRA for Qwen-Image-2.1 — the newest Qwen image base (unified generate + edit, native RGBA), where this format did not exist yet. - 36 poses: 12 azimuths (30° steps) × 4 elevations (0° eye-level / 30° elevated / 60° high-angle / 90° top-down), plus a close-up variant of each → 72 addressable framings In-distribution examples are above — but does it work on everyday photos it never saw? Dog, cat and apple from Wikimedia Commons, step-1,000 checkpoint, same prompt grammar: Golden retriever · front-right quarter view, eye-level…

Open weights apache-2.0 diffusers

Model · Image to image

Qwen-Image-2.1-Next-Scene-LoRA

AK

Feed a frame, direct the next shot. This LoRA teaches Qwen-Image-2.1 cinematic scene continuation: it takes an input image and a director-style instruction and generates the next scene — camera moves, reveals, lighting shifts — while keeping the world, characters and style consistent. Chain outputs into storyboards. This is the Qwen-Image-2.1 port of the next-scene format pioneered by (313K downloads on the 2509 edit model) — retrained natively on the newest Qwen image base, where this capability did not exist yet. Companion piece to (camera control) — together they cover where the camera is and where the story goes next. ComfyUI: load in any Qwen-Image-2.1 workflow with a LoRA node…

Open weights apache-2.0 diffusers

Model · Text to speech

drama-3-int4

AK

The smallest working Drama 3. Unofficial int4 quantization of fishaudio/drama-3 — Fish Audio's 35B (3B active) multi-speaker TTS model — with real eval numbers, one-command serving, and a loader patch for SGLang-Omni. - 22.1 GB download (vs 41.5 GB original) — experts, attention and deltanet layers int4; shared-expert MLP kept bf16 (see What we quantize) - Runs on Ampere (A100, sm80) — the FP8 original needs Hopper/Ada (fp8e4nv kernels); our int4 kernels (moewna16 + GPTQ-Marlin) don't - First drama-3 quant with published WER + speaker-similarity eval (below) - 5 verified sample types: plain TTS, voice cloning, [sighs]/[laughs] tags, long-form, Chinese Compared against the strongest…

Open weights other 6.9B parameters 262,144 tokens