Model cache
Model files for image-model LoRA training: diffusion transformers pre-quantised to INT8 and NF4, VAEs, text encoders and a LoRA. Each file keeps the licence of the model it comes from (see Licences).
manifest.json lists every file with an alias and its sha256.
Files
| Path | Alias | Content |
|---|---|---|
dit/krea2-raw.int8.k2q.safetensors |
krea2-int8 |
Krea 2 Raw DiT, block Linears quantised to INT8 (13.5 GB) |
dit/krea2-raw.nf4.k2q.safetensors |
krea2-nf4 |
Krea 2 Raw DiT, block Linears quantised to NF4 (8.2 GB) |
dit/moss-image-base.int8.k2q.safetensors |
moss-image-int8 |
MOSS Image Base DiT, block Linears quantised to INT8 (5.4 GB) |
dit/moss-image-base.nf4.k2q.safetensors |
moss-image-nf4 |
MOSS Image Base DiT, block Linears quantised to NF4 (3.3 GB) |
vae/qwen-image-vae.fp32.safetensors |
qwen-image-vae |
Qwen-Image VAE, fp32 (Krea 2) |
vae/qwen-image-vae.bf16.safetensors |
qwen-image-vae-bf16 |
Qwen-Image VAE, bf16 (Krea 2) |
vae/flux2-vae.fp32.safetensors |
flux2-vae |
FLUX.2 VAE, fp32 (MOSS Image) |
text_encoder/qwen3vl-4b.bf16.safetensors |
qwen3vl-4b-bf16 |
Qwen3-VL-4B text encoder, bf16 (Krea 2, 8.9 GB) |
text_encoder/qwen3vl-4b.fp8_scaled.safetensors |
qwen3vl-4b-fp8 |
Qwen3-VL-4B text encoder, fp8 scaled (Krea 2, 5.2 GB) |
text_encoder/qwen3.5-9b.int8.safetensors |
qwen35-9b-int8 |
Qwen3.5-9B text encoder, INT8 (MOSS Image, 9.0 GB) |
lora/krea2-turbo-r64.safetensors |
krea2-turbo-r64 |
Krea 2 turbo LoRA, rank 64, bf16: 8 steps at strength 1.0, or 12 at 0.6 |
face/buffalo_l/ |
buffalo_l |
InsightFace face detection (det_10g.onnx) and recognition (w600k_r50.onnx) |
Formats
Pre-quantised DiTs (.k2q.safetensors). The Linear weights of the transformer blocks are quantised:
- INT8: an int8 weight with a bf16 scale per output channel;
- NF4: the packed 4-bit weight with its bitsandbytes
QuantStatetensors.
Every other tensor is bf16, as in the source. The safetensors header metadata records the format version, the
quantisation, the architecture and its config, the source file name and sha256, and a checksum of the tensor data.
In the MOSS Image files each block's q, k and v are separate tensors (layers.N.proj.q, .k, .v), where the source
fuses them into one qkv weight.
INT8 text encoder. qwen3.5-9b.int8.safetensors is in ComfyUI's mixed-precision layout: each quantised weight is
int8 with an fp32 weight_scale per output channel ([out, 1]) and a comfy_quant entry with format
int8_tensorwise. Only the 2-D weights of the decoder layers are quantised. Embeddings, norms and the Gated
DeltaNet's conv1d, A_log, dt_bias, in_proj_a and in_proj_b stay bf16. The vision tower, the MTP head and
lm_head are removed, so it encodes text only. On four prompts its last hidden state had a cosine similarity of
0.9988 to 0.9995 with the bf16 model's.
Sources
| Files | Source |
|---|---|
dit/krea2-raw.* |
raw.safetensors of krea/Krea-2-Raw, sha256 f99bb0ff8e362b77342bc4994e0c50906fe7ef7074864b181b7d48d2fa6d03d7, quantised |
dit/moss-image-base.* |
diffusion_models/moss_image_base_bf16.safetensors of Comfy-Org/MOSS-Image (a repack of OpenMOSS-Team/MOSS-Image-Base), sha256 cacd158728a1fb9e57c408a922b54752ec71fceb566b3821269927964e62b41f, quantised |
vae/qwen-image-vae.fp32.safetensors, text_encoder/qwen3vl-4b.bf16.safetensors |
vae/ and text_encoder/ of krea/Krea-2-Raw, unmodified |
vae/qwen-image-vae.bf16.safetensors, text_encoder/qwen3vl-4b.fp8_scaled.safetensors |
ComfyUI repacks, unmodified |
vae/flux2-vae.fp32.safetensors |
vae/flux2-vae.safetensors of Comfy-Org/MOSS-Image, unmodified |
text_encoder/qwen3.5-9b.int8.safetensors |
text_encoders/qwen3.5_9b_bf16.safetensors of Comfy-Org/Qwen3.5, sha256 7e6e9f08d598f829cb940e60ac0c698e1f1c27a47daffd7e598cd78c78b4cc53, quantised |
lora/krea2-turbo-r64.safetensors |
krea2_turbo_lora_rank_64_bf16.safetensors, unmodified |
face/buffalo_l/ |
InsightFace buffalo_l |
Licences
The licence texts and the attribution notice are in licenses/: Krea 2 Community License, Apache License 2.0, NOTICE.
| Files | Licence |
|---|---|
dit/krea2-raw.*, lora/krea2-turbo-r64.safetensors |
Krea 2 Community License. By downloading or using these files you agree to be bound by it. They are modified or redistributed Krea 2 files, not official Krea products (see NOTICE). |
dit/moss-image-base.* |
Apache License 2.0 (MOSS Image) |
text_encoder/qwen3.5-9b.int8.safetensors |
Apache License 2.0 (Qwen3.5-9B) |
text_encoder/qwen3vl-4b.* |
Apache License 2.0 (Qwen3-VL-4B-Instruct) |
vae/qwen-image-vae.* |
Apache License 2.0 (Qwen-Image) |
vae/flux2-vae.fp32.safetensors |
Apache License 2.0 (the FLUX.2 VAE by Black Forest Labs, published under it with FLUX.2-klein-4B) |
face/buffalo_l/ |
InsightFace pretrained models: non-commercial research use only |
Changed files replace the old ones in place; the repository's revisions are the versions.