darkmaniac7/TokForge-SD15-LCM-Cinematic

Published by TokForge for on-device inference.

TokForge

• Website: https://tokforge.ai
• Discord: https://discord.gg/Acv3CBtfVm
• Google Play: https://play.google.com/store/apps/details?id=dev.tokforge
• iOS TestFlight: https://testflight.apple.com/join/jnufjzRr

Runs on-device in the TokForge app.

TokForge SD1.5-LCM: Cinematic (epiCRealism)

An epiCRealism + LCM SD1.5 MNN bundle, the TokForge SD15_LCM_MNN fast few-step image model, but with the candid/film-look photoreal epiCRealism checkpoint as the base instead of DreamShaper-7. Renders a coherent, cinematic-photoreal 512px image in 4 steps on the in-process MNN diffusion engine, full MNN speed, the film look baked into the UNet weights.

This is the Cinematic tier of the TokForge styled image catalog, the twin photoreal style to the Photoreal (Realistic Vision V5.1) tier. epiCRealism leans toward a candid, cinematic film look: naturalistic lighting and colour, true-to-life skin and texture, lifelike people and scenes. It won the candid/film-look people category in TokForge's internal photoreal-base A/B. Verified on-device (OnePlus D9500 CPU, 4 steps) rendering a clean candid/film-look portrait at MNN speed.

9-file MNN bundle: unet.mnn(.weight) (INT8, epiCRealism + LCM fused), reference SD1.5 f16 text_encoder.mnn(.weight) + vae_decoder.mnn(.weight), vocab.json, merges.txt, alphas.txt.

Provenance & licenses

• Base model: emilianJR/epiCRealism under CreativeML-OpenRAIL-M (plus the creator's Civitai terms, listed under Credits; redistribution of derivatives is licensed under OpenRAIL-M §III.4). epiCRealism is a photoreal/film-look SD1.5 checkpoint.
• LCM adapter: latent-consistency/lcm-lora-sdv1-5 under openrail++ (UNet-only consistency adapter, fused to keep the 4-step floor).
• CLIP / VAE / tokenizer: the standard SD1.5 reference assets (CLIP ViT-L/14 text encoder + SD1.5 VAE) reused verbatim from the TokForge base LCM bundle. This matches the other TokForge SD1.5-LCM bundles' 9-file layout and dodges the libDIF CLIP-trace issue with freshly-exported CLIP.

Modifications (OpenRAIL-M §III "mark modified")

This bundle is a modified derivative of epiCRealism:

1. The LCM consistency adapter (lcm-lora-sdv1-5) is fused into the UNet (fp32 ΔW via diffusers.fuse_lora()) so the model is coherent at 4-8 steps with CFG≈1.0.
2. The fused UNet is exported to ONNX and converted to an INT8-quantized MNN model (MNNConvert, asymmetric 8-bit weight quant) for on-device CPU inference.
3. CLIP and VAE are the SD1.5 reference MNN assets, not epiCRealism's own.

No retraining or fine-tuning of the original weights was performed beyond the LCM fuse + quant.

Use restrictions (OpenRAIL-M Attachment A)

Use of this model is subject to the CreativeML Open RAIL-M license, including the Attachment A use-based restrictions: you agree not to use the model, or any derivative, to violate any law; to exploit/harm minors; to generate or disseminate verifiably false information to harm others; to generate or disseminate personal identifiable information to harm someone; to defame, disparage or harass others; for fully automated decision-making that adversely affects legal rights or creates binding obligations; for discrimination or harm to individuals or groups based on protected characteristics; to exploit vulnerabilities of a specific group; to generate non-consensual or false content about individuals; or to provide medical advice/interpretation of medical results as a substitute for professional advice. See the full license text: https://huggingface.co/spaces/CompVis/stable-diffusion-license

These use-based restrictions propagate to all who use or redistribute this bundle.

Credits

• epiCRealism by epinikion (Civitai, Hugging Face). Used under the CreativeML OpenRAIL-M license and the creator's Civitai terms. epinikion's Civitai terms: credit required, no selling the model or merges of it.
• LCM-LoRA SD1.5 by Latent Consistency (Hugging Face). Used under the CreativeML OpenRAIL++-M license.
• Stable Diffusion v1.5 by Runway and CompVis (Hugging Face). Used under the CreativeML OpenRAIL-M license.
• Converted to MNN with MNN by Alibaba (Apache-2.0).