😄Diffusers Image Fill With Prompt 可让用户遮盖不必要的部分并将其删除。😄留下想要保留的内容!目测比PS效果要快速!✌假日修图必备!快把多余的路人抹掉!https://huggingface.co/spaces/ameerazam08/diffusers-image-fill-with-prompt, 视频播放量 284、弹幕量
Callable,Dict,List,Optional,Union# 导入类型注解importPIL.Image# 导入用于图像处理的PIL库importtorch# 导入PyTorch库fromtransformersimportCLIPImageProcessor, CLIPTextModel, CLIPTokenizer, CLIPVisionModelWith
fill the masked part of an image given the image, the mask and a text prompt inpaint Text-Guided Depth-to-Image Translation adapt parts of an image guided by a text prompt while preserving structure via depth estimation from diffusers import DiffusionPipeline 代码语言:javascript 代码运行次数:0 ...
Three diffusers apps combining the speed of SDXL lightning (RealVisXL 5) with the precision of ControlNetPlus Promax Based on a Proof of Concept by OzzyGT: https://huggingface.co/blog/OzzyGT/diffusers-image-fill 📸 remove or inpaint: /spaces/OzzyGT/diffusers-image-fill 🖌️ outpain...
>>> init_image = load_image(url).resize((1024, 1024)) # 加载并调整图像大小 >>> prompt = "cat wizard, gandalf, lord of the rings, detailed, fantasy, cute, adorable, Pixar, Disney, 8k" # 设置生成的提示语 >>> images = pipe(prompt=prompt, image=init_image, strength=0.95, guidance...
with torch.autocast("cuda"): output = pipeline(prompt=prompt, image=image, mask_image=mask, num_inference_steps=num_inference_steps, guidance_scale=guidance_scale).images[0]. 这里使用了torch.autocast来利用GPU的加速功能(前提是你有可用的GPU)。 2. 保存生成结果。 生成的扩展图像可以通过PIL库进行...
image_output = None return prompt, negative_prompt,image_input,image_output with gr.Blocks(title="Stable Diffusion",theme=gr.themes.Default(primary_hue=gr.themes.colors.blue))as demo: with gr.Tab("Text-to-Image"): ...
bad-artist-anime,bad_prompt_version2,negative_hand-neg,", ).images[0] # 保存图像 image.save(output_filename) return output_filename if __name__ == "__main__": input_profile = "周老六, 男生,戴眼镜" output_path = generate_image_from_profile(input_profile) print(f"Image saved to {...
Diffusers Image Fill v3 -- Inpaint or Remove objects from an image - or Outpaint - or Outpaint Video Zoom: 16GB+ GPU | 32GB+ RAM | 20GB+ Storage -- Read the README for more! - Diffusers-Image-Community/app-zoom.py at main · ai-anchorite/Diffusers-Image
import paddle # 导入PaddlePaddle深度学习框架 from ppdiffusers import StableDiffusionPipeline #从ppdiffusers库中导入StableDiffusionPipeline类 pipe = StableDiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2") prompt = Text_pre image = pipe(prompt, guidance_scale=7.5, height=400, width=768)...