Create README.md

README.md

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+# Genshin_Impact_VENTI_Flex2_Lora
+
+
+## Installtion
+```bash
+pip install -U diffusers transformers torch sentencepiece peft controlnet-aux moviepy protobuf
+```
+
+## Demo 
+```python
+#import os
+#os.environ['HF_ENDPOINT'] = 'https://hf-mirror.com'
+
+#### git clone https://huggingface.co/ostris/Flex.2-preview
+
+import torch
+from diffusers import AutoPipelineForText2Image
+from diffusers.utils import load_image
+
+#name_or_path = "ostris/Flex.2-preview"
+name_or_path = "Flex.2-preview"
+dtype = torch.bfloat16
+
+pipe = AutoPipelineForText2Image.from_pretrained(
+    name_or_path,
+    custom_pipeline=name_or_path,
+    torch_dtype=dtype
+)
+pipe.load_lora_weights("Genshin_Impact_VENTI_Flex2_Lora/my_first_flex2_lora_v1_000001750.safetensors")
+pipe.enable_sequential_cpu_offload()
+
+import numpy as np
+from PIL import Image
+image = pipe(
+    prompt="VENTI answer calls with headphones",
+    inpaint_image=Image.fromarray(np.zeros((1024, 1024, 3)).astype(np.uint8)),
+    inpaint_mask=Image.fromarray(np.ones((1024, 1024, 3), dtype=np.uint8) * 255),
+    control_image=Image.fromarray(np.zeros((1024, 1024, 3)).astype(np.uint8)),
+    control_strength=0.5,
+    control_stop=0.33,
+    height=1024,
+    width=1024,
+    guidance_scale=3.5,
+    num_inference_steps=50,
+    generator=torch.Generator("cpu").manual_seed(42)
+).images[0]
+image.save("calls_with_headphones.png")
+
+
+
+```
+
+
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/634dffc49b777beec3bc6448/VM9VooweD6rX5C_LeT8ZD.png)
+