import torchfrom diffusers import StableDiffusion3Pipelinepipe = StableDiffusion3Pipeline.from_pretrained("stabilityai/stable-diffusion-3-medium-diffusers", text_encoder_3=None, tokenizer_3=None, torch_dtype=torch.float16)pipe = pipe.to("cuda")prompt = "smiling cartoon dog sits at a table, coffe...
python ./scripts/convert_original_stable_diffusion_to_diffusers.py --checkpoint_path xxx.ckpt --dump_path save_dir 转换完成后，可直接利用 diffusers 的 API 进行模型加载 from diffusers import StableDiffusionPipeline pipeline = StableDiffusionPipeline.from_pretrained (save_dir,torch_dtype=torch.float3...
import torchfrom diffusers import StableDiffusion3Pipelinepipe = StableDiffusion3Pipeline.from_pretrained("stabilityai/stable-diffusion-3.5-large", torch_dtype=torch.bfloat16).to("cuda")image = pipe( prompt="a photo of a cat holding a sign that says hello world", negative_prompt="", ...
fromdiffusersimportStableDiffusion3Pipelinepipeline=StableDiffusion3Pipeline.from_pretrained(model_id,transformer=model_nf4,torch_dtype=torch.bfloat16)pipeline.enable_model_cpu_offload()prompt="A whimsical and creative image depicting a hybrid creature that is a mix of a waffle and a hippopotamus, baski...
Stable Diffusion 3.5 的 transformer 模型还可以使用 Stability AI 发布的原生参数文件来进行初始化 。这里需要使用from_single_file方法: importtorchfromdiffusersimportSD3Transformer2DModel,StableDiffusion3Pipeline transformer=SD3Transformer2DModel.from_single_file("https://huggingface.co/stabilityai/stable-diffusion...
作为Stable Diffusion 3的改进版本,Stable Diffusion 3.5 如今已在 Hugging Face Hub 中可用,并可以直接使用 🧨 Diffusers 中的代码运行。 本次发布包含两套模型参数: 一个大型的模型 (large,8B) 该模型经过时间步蒸馏的版本,仅需几步推理即可生成图片 ...
给定一个mask图像和一句提示,可编辑给定图像的特定部分。使用StableDiffusionInpaintPipeline来实现,输入包含三部分:原始图像,mask图像和一个prompt, 示例代码: fromdiffusersimportStableDiffusionInpaintPipeline img_url ="https://raw.githubusercontent.com/CompVis/latent-diffusion/main/data/inpainting_examples/overture...
from diffusers import StableDiffusionPipeline pipeline = StableDiffusionPipeline.from_ckpt( 'https://huggingface.co/gsdf/Counterfeit-V3.0/blob/main/Counterfeit-V3.0_fp16.safetensors', ) Logs RuntimeError: Error(s) in loading state_dict for AutoencoderKL: Missing key(s) in state_dict: "encoder...
pipe = StableDiffusion3Pipeline.from_single_file( r"sd3_medium_incl_clips_t5xxlfp8.safetensors", torch_dtype=torch.float16, ) pipe.enable_model_cpu_offload() image = pipe("a picture of a cat holding a sign that says hello world").images[0] ...
DreamBooth是存放在Hugging Face的一个文生图项目模型,我们可以用diffusers包来调用,当然也可以自己克隆项目来创建自己的后端产品,此外能够让我们对stable diffusion模型进行微调,这个过程可以引入特定的面部、物体或风格等额外的信息。目前有249个各色各样的模型来玩耍~ ...