[Admin maintenance] Support new ZeroGPU hardware

app.py

@@ -41,7 +41,7 @@ if not path.exists(cache_path):
 
 pipe = StableDiffusionXLPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.bfloat16)
 pipe.to(device="cuda", dtype=torch.bfloat16)
-unet_state = load_file(hf_hub_download("ByteDance/Hyper-SD", "Hyper-SDXL-1step-Unet.safetensors"), device="cuda")
+unet_state = load_file(hf_hub_download("ByteDance/Hyper-SD", "Hyper-SDXL-1step-Unet.safetensors"))  # ZeroGPU: load on CPU; load_state_dict copies into the already-cuda unet params
 pipe.unet.load_state_dict(unet_state)
 pipe.scheduler = LCMScheduler.from_config(pipe.scheduler.config, timestep_spacing ="trailing")
 

requirements.txt

@@ -1,10 +1,8 @@
 diffusers==0.25.0
 transformers==4.38.2
 accelerate==0.27.2
-gradio==3.41.2
-httpx==0.23.0
 flask
 pillow
 safetensors
 transformers
-torch
+torch