Update app.py

app.py

@@ -189,17 +189,17 @@ def run(m,p1,p2,*result):
 
 adapter = MotionAdapter.from_pretrained("guoyww/animatediff-motion-adapter-v1-5-3")
 vae = AutoencoderKL.from_single_file("https://huggingface.co/stabilityai/sd-vae-ft-mse-original/vae-ft-mse-840000-ema-pruned.safetensors")
-unet = UNet2DConditionModel.from_config("emilianJR/epiCRealism",subfolder="unet").to(device, dtype).load_state_dict(load_file(hf_hub_download("emilianJR/epiCRealism", "unet/diffusion_pytorch_model.safetensors"), device=device), strict=False)
+#unet = UNet2DConditionModel.from_config("emilianJR/epiCRealism",subfolder="unet").to(device, dtype).load_state_dict(load_file(hf_hub_download("emilianJR/epiCRealism", "unet/diffusion_pytorch_model.safetensors"), device=device), strict=False)
     
 repo = "ByteDance/AnimateDiff-Lightning"
 ckpt = f"animatediff_lightning_{step}step_diffusers.safetensors"
-base = "black-forest-labs/FLUX.1-schnell"
+base = "emilianJR/epiCRealism"
 #base = "SG161222/Realistic_Vision_V6.0_B1_noVAE"
     
 pipe = AnimateDiffPipeline.from_pretrained(base, vae=vae, motion_adapter=adapter, feature_extractor=None, image_encoder=None, unet=unet, torch_dtype=dtype, token=os.getenv("hf_token")).to(device)
 pipe.scheduler = EulerDiscreteScheduler.from_config(pipe.scheduler.config, timestep_spacing="trailing", beta_schedule="linear")
 pipe.unet.load_state_dict(load_file(hf_hub_download(repo, ckpt), device=device), strict=False)
-pipe.enable_free_init(method="butterworth", use_fast_sampling=True)
+pipe.enable_free_init(method="butterworth", use_fast_sampling=False)
     
 mp.set_start_method("spawn", force=True)