Update README.md

README.md

@@ -80,7 +80,7 @@ from transformers import Qwen2_5_VLForConditionalGeneration, Qwen2_5_VLProcessor
 from diffusers import FlowMatchEulerDiscreteScheduler, AutoencoderKL
 
 # Load model components
-pretrained_model_name_or_path = "/path/to/unipicv2_qwen2_5_vl_7b_sd_3_5m_kontext"
+pretrained_model_name_or_path = "Skywork/UniPic2-Metaquery-9B"
 
 transformer = SD3Transformer2DKontextModel.from_pretrained(
     pretrained_model_name_or_path, subfolder="transformer", torch_dtype=torch.bfloat16).cuda()
@@ -114,7 +114,7 @@ pipeline = StableDiffusion3KontextPipeline(
 
 # Prepare prompts
 prompt = 'a pig with wings and a top hat flying over a happy futuristic scifi city'
-negative_prompt = ''
+negative_prompt = 'blurry, low quality, low resolution, distorted, deformed, broken content, missing parts, damaged details, artifacts, glitch, noise, pixelated, grainy, compression artifacts, bad composition, wrong proportion, incomplete editing, unfinished, unedited areas.'
 
 messages = [[{"role": "user", "content": [{"type": "text", "text": f'Generate an image: {txt}'}]}]
             for txt in [prompt, negative_prompt]]