MOSS
Collection
1 item • Updated
How to use Rin247/MOSS-Image-SFT with Diffusers:
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Rin247/MOSS-Image-SFT", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Quantised media packages of OpenMOSS-Team/MOSS-Image-SFT.
MECHA — Model Engineering & Contextual Hearth Assembly
These media packages have been forged and optimized in the MECHA Forge. Each one holds the Denoiser, Text Encoder, and VAE components packaged together for easier deployment.
| Quant | Denoiser | Text encoder | VAE |
|---|---|---|---|
| FP8 | FP8 | FP8 | FP8 |
| INT8 | INT8 | INT8 | INT8 |
| FP4 | FP4 | FP8 | FP8 |
| INT4 | INT4 | INT8 | INT8 |
The text encoder and VAE are shared between formats: FP4 reuses the FP8 files, INT4 reuses the INT8 files.
text_encoder/qwen3.5_8b_fp8.safetensors (FP8 and FP4)
text_encoder/qwen3.5_8b_int8.safetensors (INT8 and INT4)
transformer/moss_image_sft_fp4.safetensors
transformer/moss_image_sft_fp8.safetensors
transformer/moss_image_sft_int4.safetensors
transformer/moss_image_sft_int8.safetensors
vae/moss_image_sft_vae_fp8.safetensors (FP8 and FP4)
vae/moss_image_sft_vae_int8.safetensors (INT8 and INT4)