Instructions to use shadwosii/Kandinsky-6.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusion Single File
How to use shadwosii/Kandinsky-6.0 with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Kandinsky 6.0
Repackaged model files for ComfyUI, with original precision and INT8 ConvRot versions.
Original model repositories:
- kandinskylab/Kandinsky-6.0-Lite-distill-5s-Diffusers
- kandinskylab/Kandinsky-6.0-VSR-5s-Diffusers
- kandinskylab/Kandinsky-6.0-VSR-distilled2steps-5s-Diffusers
- kandinskylab/Kandinsky-6.0-Lite-5s-Diffusers
- kandinskylab/Kandinsky-6.0-Pro-distill-5s-Diffusers
- kandinskylab/Kandinsky-6.0-Pro-5s-Diffusers
Place the files in the following folders:
π ComfyUI/
βββ π models/
βββ π diffusion_models/
β βββ Kandinsky6_Lite_5s_bf16.safetensors
β βββ Kandinsky6_Lite_5s_int8_convrot.safetensors
β βββ Kandinsky6_Lite_distill_5s_bf16.safetensors
β βββ Kandinsky6_Lite_distill_5s_int8_convrot.safetensors
β βββ Kandinsky6_Pro_5s_bf16.safetensors
β βββ Kandinsky6_Pro_5s_int8_convrot.safetensors
β βββ Kandinsky6_Pro_distill_5s_bf16.safetensors
β βββ Kandinsky6_Pro_distill_5s_int8_convrot.safetensors
β βββ Kandinsky6_VSR_5s_bf16.safetensors
β βββ Kandinsky6_VSR_5s_int8_convrot.safetensors
β βββ Kandinsky6_VSR_distilled2steps_5s_bf16.safetensors
β βββ Kandinsky6_VSR_distilled2steps_5s_int8_convrot.safetensors
βββ π vae/
β βββ Kandinsky6_VSR_KVAE_bf16.safetensors
βββ π upscale_models/
βββ Kandinsky6_VSR_LatentUpscaler_bf16.safetensors
Choose one precision for each model. _bf16 files preserve the original tensor dtypes, including BF16/F32 where present. _int8_convrot files quantize eligible matrices and preserve the remaining tensors. The two VSR codecs are shared by both VSR models and include the 2x/4x latent-upscaler entries.
ComfyUI nodes
Install the official Kandinsky 6 and Kandinsky 6 SR extensions. Additional text encoders, generation VAE, audio VAE and vocoder are linked by the official extensions and are downloaded separately.
Lite-distill and the standalone VSR codecs require the included node adaptation patch. It targets kandinsky6 1.0.1 and kandinsky6-sr 0.1.2 installed in custom_nodes/kandinsky6/ and custom_nodes/kandinsky6-sr/. From the ComfyUI root, check and apply the downloaded patch, then restart ComfyUI:
git apply --check /path/to/official-node-adaptation.patch
git apply /path/to/official-node-adaptation.patch
The exact source versions and patch checksums are in compatibility/manifest.json. Select the DiT in Load Diffusion Model with weight_dtype=default; select the codecs in the adapted SR loaders. INT8 requires a ComfyUI runtime with ConvRot support.
Workflows
| Model | Text to Video + Audio | Image to Video + Audio |
|---|---|---|
| Pro | BF16 / INT8 | BF16 / INT8 |
| Pro-distill | BF16 / INT8 | BF16 / INT8 |
| Lite | BF16 / INT8 | BF16 / INT8 |
| Lite-distill | BF16 / INT8 | BF16 / INT8 |
All 12 DiTs passed actual loading and small-input forward checks; the shared KVAE and 2x/4x upscaler passed codec checks. Complete video/audio generation quality and FlashAttention were not evaluated. Pretrain checkpoints are not included.
License
The official model cards declare MIT. LICENSE is copied unchanged from the upstream repository; the original copyright and permission text are retained. Upstream plugin license notices are preserved under compatibility/licenses/.
Exact file sizes, SHA-256 values and source model revisions: models-manifest.json / SHA256SUMS.
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Base model
kandinskylab/Kandinsky-6.0-Lite-5s-Diffusers