black-forest-labs

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FLUX.1-dev

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hi，i tried fp8 version flux on diffusers，it is amazing. However, it seems that the lora doesn't work. With or without lora, fp8 version output the same pictures. Here's my code, can someone help me?

import torch
from diffusers import DiffusionPipeline, FluxTransformer2DModel
from optimum.quanto import freeze, qfloat8, quantize

device = "cuda" if torch.cuda.is_available() else "cpu"

transformer = FluxTransformer2DModel.from_single_file("https://huggingface.co/Kijai/flux-fp8/blob/main/flux1-dev-fp8.safetensors", torch_dtype=torch.bfloat16)
quantize(transformer, weights=qfloat8)
freeze(transformer)

pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16)
pipe.transformer = transformer
pipe = pipe.to(device)

prompt = "A blue jay standing on a large basket of rainbow macarons, disney style"
#prompt = "The portrait of a brazilian person"

generator = torch.Generator(device="cpu").manual_seed(42)
image = pipe(prompt, generator=generator, guidance_scale=3.5).images[0]
image.save("no_lora.png")

pipe.load_lora_weights("XLabs-AI/flux-lora-collection", weight_name="disney_lora.safetensors")
#pipe.load_lora_weights("XLabs-AI/flux-RealismLora")

generator = torch.Generator(device="cpu").manual_seed(42)
image = pipe(prompt, generator=generator, joint_attention_kwargs={"scale": 1}, guidance_scale=3.5).images[0]
image.save("lora_1_0.png")

generator = torch.Generator(device="cpu").manual_seed(42)
image = pipe(prompt, generator=generator, joint_attention_kwargs={"scale": 1.75}, guidance_scale=3.5).images[0]
image.save("lora_1_75.png")