ValueError: Tensor lora_te_text_model_encoder_layers_0_mlp_fc1.alpha has no metadata - is this a Lora safetensor?
#1
by
erank3
- opened
Hello !
Thanks so much for this great great work!
I am getting this error when I try to run inference:
ValueError: Tensor lora_te_text_model_encoder_layers_0_mlp_fc1.alpha has no metadata - is this a Lora safetensor?
I am running a normal inference flow using StableDiffusionPipeline:
os.makedirs(output_path, exist_ok=True)
model_id = "runwayml/stable-diffusion-v1-5"
lora_model = "models/lora/360/360Diffusion_v1.safetensors"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16).to(
"cuda"
)
pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(
pipe.scheduler.config)
patch_pipe(
pipe,
lora_model,
patch_text=True,
patch_ti=True,
patch_unet=True,
)
tune_lora_scale(pipe.unet, 1.00)
tune_lora_scale(pipe.text_encoder, 1.00)
generator = torch.Generator("cuda").manual_seed(seed)
image = pipe(prompt, num_inference_steps=steps, guidance_scale=scale,
height=H, width=W, generator=generator).images[0]
can you provide some context about how to run the model using the pipeline?
Thanks!!
I have the same error with a different LoRa model, have you found a solution?