chfm / Bernini-R-GGUF

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Model's Last Updated: August 01 2026
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Introduction of Bernini-R-GGUF

Model Details of Bernini-R-GGUF

Bernini-R — GGUF (high & low noise experts)

💻 Code / ComfyUI nodes

💬 Discord — updates, roadmaps, projects, or just to chat 🧬 Bernini-R Wan2.2-T2V-A14B

GGUF quantizations of ByteDance/Bernini-R (= Wan2.2-T2V-A14B + source-id RoPE + multi-condition APG guidance), for use in ComfyUI with ComfyUI-BerniniR + city96/ComfyUI-GGUF .

Bernini-R is a dual-expert model (Wan 2.2): a high-noise expert sets the composition and a low-noise expert refines detail. Both are quantized here. GGUF carries no fp8 tensors, so the two experts coexist in 24 GB VRAM without the offload crash the fp8 build hits.

Files
File Expert Quant Size
bernini_r_high_noise_14B-Q4_K_M.gguf high-noise Q4_K_M 9.66 GB
bernini_r_high_noise_14B-Q5_K_M.gguf high-noise Q5_K_M 10.8 GB
bernini_r_high_noise_14B-Q8_0.gguf high-noise Q8_0 15.4 GB
bernini_r_low_noise_14B-Q4_K_M.gguf low-noise Q4_K_M 9.66 GB
bernini_r_low_noise_14B-Q5_K_M.gguf low-noise Q5_K_M 10.8 GB
bernini_r_low_noise_14B-Q8_0.gguf low-noise Q8_0 15.4 GB

Q5_K_M is the recommended balance; Q8_0 for best quality, Q4_K_M for the lowest VRAM.

Usage in ComfyUI
  1. Install ComfyUI-BerniniR and ComfyUI-GGUF .
  2. Put the .gguf files in ComfyUI/models/unet/ . You also need the Wan VAE ( wan_2.1_vae.safetensors ) and the UMT5 text encoder ( umt5_xxl_fp8_e4m3fn_scaled.safetensors ).
  3. t2v / t2i ( source_id=0 is identical to stock Wan 2.2): one UnetLoaderGGUF → your sampler.
  4. Editing (i2i / v2v), both experts: load each GGUF with UnetLoaderGGUF , send each through BerniniR · Apply Patches , then into BerniniR · Guider ( model = high, model_low = low). The guider switches expert by timestep (t=875) and runs the APG guidance. Ready-made graph: workflows/ui/bernini_i2i_gguf_dual.json in the node repo.

License: Apache-2.0 (same as the base model).

Runs of chfm Bernini-R-GGUF on huggingface.co

245
Total runs
9
24-hour runs
17
3-day runs
188
7-day runs
199
30-day runs

More Information About Bernini-R-GGUF huggingface.co Model

More Bernini-R-GGUF license Visit here:

https://choosealicense.com/licenses/apache-2.0

Bernini-R-GGUF huggingface.co

Bernini-R-GGUF huggingface.co is an AI model on huggingface.co that provides Bernini-R-GGUF's model effect (), which can be used instantly with this chfm Bernini-R-GGUF model. huggingface.co supports a free trial of the Bernini-R-GGUF model, and also provides paid use of the Bernini-R-GGUF. Support call Bernini-R-GGUF model through api, including Node.js, Python, http.

Bernini-R-GGUF huggingface.co Url

https://huggingface.co/chfm/Bernini-R-GGUF

chfm Bernini-R-GGUF online free

Bernini-R-GGUF huggingface.co is an online trial and call api platform, which integrates Bernini-R-GGUF's modeling effects, including api services, and provides a free online trial of Bernini-R-GGUF, you can try Bernini-R-GGUF online for free by clicking the link below.

chfm Bernini-R-GGUF online free url in huggingface.co:

https://huggingface.co/chfm/Bernini-R-GGUF

Bernini-R-GGUF install

Bernini-R-GGUF is an open source model from GitHub that offers a free installation service, and any user can find Bernini-R-GGUF on GitHub to install. At the same time, huggingface.co provides the effect of Bernini-R-GGUF install, users can directly use Bernini-R-GGUF installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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https://huggingface.co/chfm/Bernini-R-GGUF

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