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    [Flux2Klein 9B] Anything2Real lrzjason - 2601 A
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    RH Invite Code:

    https://www.runninghub.ai/?inviteCode=rh-v1279

    New user with 1000 free RH credit

    All my workflow and models are avaible on RunningHub

    F2K 9B Anything2Real A

    New version of Anything2Real on F2K model.

    Based on previous version, adjusted the style to more realistic and less 3D

    Flux2 Klein 9B

    Based on strong transformation ablitiy on Flux2 Klein 9B

    The new anything2real lora adjusted aesthetic and image fidelity

    Prompt:

    transform the image into high quality realistic photograph. {male/female}

    The model mostly trained on female images. Please add male if the input image is male.

    Lora strength:

    0.8-1

    The lora tends to be a little bit more "3D" use less strength to gain more realistic from base model.

    RH App One Click Transform Image:

    https://www.runninghub.ai/ai-detail/2016070515554783233/?inviteCode=rh-v1279

    RH Workflow:

    https://www.runninghub.ai/post/2016060164108980226/?inviteCode=rh-v1279

    RH Comparer with base:

    https://www.runninghub.ai/ai-detail/2016075121722658818/?inviteCode=rh-v1279

    RH Workflow:

    https://www.runninghub.ai/post/2016072419668140033/?inviteCode=rh-v1279

    Hugging Face:

    https://huggingface.co/lrzjason/Anything2Real/tree/main

    f2k_anything2real.safetensors

    Qwen Edit 2511

    RH APP:

    https://www.runninghub.ai/ai-detail/2007507982543757313/?inviteCode=rh-v1279

    RH online workflow:

    https://www.runninghub.ai/post/2007432627858444289/?inviteCode=rh-v1279

    Anything2Real 2601 A is an adjusted version which mixed alpha more and with extra weight adjustment based on 2601. It produces stronger transformation between image and realistic.

    This LoRA, built on Qwen-Edit 2511, incrementally maps images of any visual style into the photographic domain. The training objective is to minimize perceptual distance rather than to perform pixel-level reconstruction.

    Training Protocol

    Dataset

    • 7 style-paired subsets, 200 source images ≥ 1024 px, covering portraits, landscapes, and objects.

    Training Pipeline

    • Two-stage tuning: (a) trigger-word + long-caption pairs, (b) trigger-word only.

    • Layer-wise merge with Anything2Real α; weights manually tuned to preserve low-frequency structure while replacing high-frequency texture.

    Recommended Positive Prompt

    transform the image to realistic photograph. {detailed description}

    Note: {detailed description} is optional. Style-related tokens such as “anime”, “cyber”, or “oil-painting” are strictly forbidden; their inclusion will inject out-of-domain noise.

    Strength Tuning

    • Default range: 0.8–1.0.

    • If over-smoothing or texture loss occurs, decrease in 0.1 steps down to 0.5.

    • Should realism remain insufficient, blend with an additional photorealistic LoRA and adjust to taste.

    Because “realism” is inherently subjective, first modulate strength or switch base models rather than further increasing the LoRA weight.

    Contact

    Feel free to reach out via any of the following channels:

    Description