import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("spooknik/Project0-SVDQ", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]This repository contains Nunchaku-quantized (SVDQ) versions of project0, a text-to-image model based on Flux Dev and Flux Krea created by speach1sdef178
If you like the model, please consider liking, reviewing and tipping the creator.
Model Files
svdq-int4_r32-Project0-REAL1SM_V3.safetensors: SVDQuant INT4 (rank 32) Project0-REAL1SM_V3 model. For users with non-Blackwell GPUs (pre-50-series).
svdq-fp4_r32-Project0-REAL1SM_V3.safetensors: SVDQuant NVFP4 (rank 32) Project0-REAL1SM_V3 model. For users with Blackwell GPUs (50-series).
svdq-int4_r32-Project0-KREA.safetensors: SVDQuant INT4 (rank 32) Project0-KREA model. For users with non-Blackwell GPUs (pre-50-series).
svdq-fp4_r32-Project0-KREA.safetensors: SVDQuant NVFP4 (rank 32) Project0-KREA model. For users with Blackwell GPUs (50-series).
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