Model · Image to image
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
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
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