import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("OzzyGT/Anima-base-v1.0_sdnq_dynamic_4bit", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Anima-base-v1.0 SDNQ Dynamic INT4
This is an int4 quantized version of circlestone-labs/Anima using SDNQ (SD.Next Quantization) with the dynamic option and Hadamard Rotation.
Usage
You can find ready-to-use scripts in the diffusers-recipes repository.
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Model tree for OzzyGT/Anima-base-v1.0_sdnq_dynamic_4bit
Base model
circlestone-labs/Anima