Credits: eramth
The Flux model with 4bit transformer and T5 encoder.
Usage
from diffusers import FluxPipeline
import torch
pipe = FluxPipeline.from_pretrained("newgenai79/flux-4bit",torch_dtype=torch.float16).to("cuda:1")
pipe_kwargs = {
"prompt": "A cat holding a sign that says hello world",
"height": 1024,
"width": 1024,
"guidance_scale": 3.5,
"num_inference_steps": 50,
"max_sequence_length": 512,
}
image = pipe(**pipe_kwargs, generator=torch.manual_seed(0),).images[0]
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Base model
black-forest-labs/FLUX.1-dev