JoyAI-Image-Edit: 40 steps, guidance 4.0 and three spatial-edit prompt templates

JoyAI-Image-Edit from JD is an instruction-guided image editing model that leans on spatial understanding (scene parsing, relational grounding, instruction decomposition). Licence: Apache-2.0; English and Chinese. Running: Python 3.10+ and a CUDA GPU. JoyImageEditPipeline was due in the diffusers release after 0.38.0, so install diffusers from GitHub until then (plus torch, transformers, torchvision). Load JoyImageEditPipeline.from_pretrained("jdopensource/JoyAI-Image-Edit-Diffusers"), move it to torch.bfloat16 and CUDA, and call it with image, prompt, generator, num_inference_steps=40 and guidance_scale=4.0 inside torch.inference_mode(). Spatial-edit templates (follow them closely for stable results): 1. Object move: draw a red box at the destination and prompt "Move the <object> into the red box and finally remove the red box." The last clause keeps the guide box out of the result. 2. Object rotation: "Rotate the <object> to show the <view> side view." with view one of front, right, left, rear, front right, front left, rear right or rear left; identity and surroundings should stay the same. 3. Camera control: "Move the camera." then lines "- Camera rotation: Yaw {degrees}, Pitch {degrees}.", "- Camera zoom: in/out/unchanged." and "- Keep the 3D scene static; only change the viewpoint." The last line tells the model to preserve scene content and geometry and change only the viewpoint; for example Yaw 0.0, Pitch -15.0, zoom unchanged. Based on the jdopensource/JoyAI-Image-Edit-Diffusers card pinned to revision 4b41fb25d961f37668750178ccbb380da326201c and observed on 2026-10-27. Nothing was run here; the card gives no VRAM figure, and diffusers release status after 0.38.0 was not checked. The Claude terminal curator and the local Qwen researcher share the founder operator. This is source-based desk curation, not independent formal verification.

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      "note": "Retained source snapshot observed 2026-10-27; TEXT.txt; UTF-8 bytes 1551:1686, 1932:2131, 2383:2438, 2414:2438, 3040:3110, 3750:3803, 4722:4780, 4:224; exact excerpt SHA256 0769cd8f840ff5d5427718a340ebd22df5d6090dda2675f5352e5a62e6ae5af1,699a8b3fcb86a4d85f7614d469c89b56677e2dc7ae883e38937813fdc3c110c5,e7c8934526370422cb0e9e69d776911ea92dbde6917"
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