pip install --upgrade diffusers transformersscipy#load the model from stable-diffusion model card import torch from diffusers import StableDiffusionPipeline from huggingface_hub import notebook_login 模型加载 模型的权重是是在CreateML OpenRail-M许可下发布的。这是一个开放的许可证,不要求对生成的输出有任何...
the GPU memory peak (in task manager) will drop about 1GB to 1.4GB, the maximum diffusion resolution (that will not OOM) will increase about 1.6x, and the maximum diffusion batch size (that will not OOM) will increase about 2x.
# Where images/videos will be savedname='imagine', # Subdirectory of output_dir where images/videos will be savedguidance_scale=8.5, # Higher adherestoprompt more, lower lets model take the wheelnum_inference_steps=50, # Number of diffusion steps per image generated. 50 is gooddefault...
(如果是要从Hagging Face加载模型,也可以指定模型的url与token。URL的格式应为‘runwayml/stable-diffusion-v1-5’这种。原始checkpoint会提取到models/dreambooth/MODELNAME/working目录) 然后点击Create,耗时1-2分钟左右。创建完毕后,UI会显示新模型目录已经设置好。 选择刚创建好的模型: 回到顶部 3. Class概念解释...
• It is recommended to run with --xformers. Adding additional memory-saving flags such as --xformers --medvram does not work. 建议使用--xformers.运行 添加其他节省内存的标志(如--xformers --medvram)不起作用。 Stable Diffusion 2.0 稳定扩散2.0 ...
1 Stable Diffusion (Latent Diffusion) 基本原理及 diffuser pipeline 使用 稳定扩散是一种强大的文本条件潜在扩散模型。 它可以生成下面这些高质量的图片 潜在扩散 随着图像尺寸的增大,处理这些图像所需的计算能力也随之增大。 这在称为自注意力的操作中尤其明显,其中操作量随着输入数量呈二次方增长。 128px 方形图像...
The Stable Diffusion 2.1 model size in floating point 32 (FP32) is 5 GB and 2.5 GB in bfoat16 (BF16). A single inf2.xlarge instance has one AWS Inferentia2 accelerator with 32 GB of HBM memory. The Stable Diffusion 2.1 model can fit on a single inf2.xlarge i...
expect to get about3~6% speed upin inference speed (it/s), the GPU memory peak (in task manager) will drop about 1GB to 1.4GB, the maximum diffusion resolution (that will not OOM) will increase about 1.6x, and the maximum diffusion batch size (that will not OOM) will increase about ...
format Reshaping decoder.mid.attn_1.v.weight for SD format Reshaping decoder.mid.attn_1.proj_out.weight for SD format [*] Converted ckpt saved at /content/stable_diffusion_weights/output/2180/model.ckpt [*] WEIGHTS_DIR=/content/stable_diffusion_weights/output/2180 Dreambooth...
Use Stable Diffusion offline with stable-diffusion-webui, provided for free by Github user AUTOMATIC1111. Here's how to use it.