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Provides versioned LoRA weights and ComfyUI workflows to perform face, head, and full-person swaps for Qwen Image, Qwen Image Edit, Flux 2 Klein and Krea 2; includes multiple swap levels, input-order conventions, and recommended base-model pairings—start at LoRA strength 1.0 and adjust.
GGUF-format, quantized (Q4_K_M) and refusal-ablated (Heretic) text encoder build for Qwen-Image-2.1, supplied with a separate f16 vision mmproj so the full multimodal pipeline runs on llama.cpp/ComfyUI (Mac/non-CUDA friendly); multiple formats and quantizations included.
Provides multiple quantized releases (GGUF, safetensors, MLX) of Qwen-Image-2.1 for local text-to-image generation; includes GPU- and Apple-Silicon–optimized quantizations, companion text encoders/VAEs, and recommended ComfyUI configurations.
A distilled LoRA adapter for Qwen-Image-2.1 that runs text-to-image generation and instruction-driven image editing in a few transformer passes (shipped as a 6-step r256 LoRA). Samples with a fixed sigma schedule, no classifier-free guidance; non-commercial research license.
Replaces a selected person in a source video with a character from a reference image via a MiniMax H3 LoRA adapter, aiming to preserve scene, camera, and background. Trained for 1,000 updates; intended for Ref2VA runtimes and ComfyUI. Short (≈4–5s) continuous shots work best; distributed under the MiniMax H3 Community License.
Turns a single photo into a geometry-consistent, frozen-time 360° camera orbit that returns to the exact start frame. Implemented as a LoRA for MiniMax‑H3 FL2VA — use identical first+last keyframes to produce seamless orbit clips; trained on a small human-centric square orbit dataset, so results are domain-limited.
Generates images from natural-language prompts or structured JSON layouts, fine-tuned from a 5B backbone to improve bilingual long-text rendering and layout control; runs via a Diffusers pipeline and expects PyTorch + an NVIDIA GPU.
Generates images from natural-language prompts or structured JSON layouts, emphasizing readable long-form bilingual text and precise layout control. Built on a compact 5B diffusion backbone, supports prompts up to 4K tokens and ships as a Diffusers pipeline under Apache‑2.0.
Open-weight 5.6B FLUX.3 image model for text-to-image and multi-reference image editing with pixel-accurate bounding-box layout control. Ships distilled (fast, low-step) and base (fine-tuneable) checkpoints and runs on consumer GPUs down to an RTX 3090.
Runs the FLUX 3 Image Klein single-file checkpoint in ComfyUI for text-to-image generation and instruction-driven image editing with up to ten reference images, bounding-box layout control, and distilled/base variants; requires a prompt upsampler.
Repackages MOSS-Image model files for ComfyUI, providing int8 and bf16 checkpoints, a Qwen3.5 text encoder and FLUX.2 VAEs to enable layout-aware text-to-image generation with long prompts and bilingual text rendering.