Put your SD checkpoints (the huge ckpt/safetensors files) in: models/checkpointsPut your VAE in: models/vaeAMD GPUs (Linux only)AMD users can install rocm and pytorch with pip if you don't have it already installed, this is the command to install the stable version:...
Put your SD checkpoints (the huge ckpt/safetensors files) in: models/checkpointsPut your VAE in: models/vaeAMD GPUs (Linux only)AMD users can install rocm and pytorch with pip if you don't have it already installed, this is the command to install the stable version:pip install torch ...
Put your SD checkpoints (the huge ckpt/safetensors files) in: models/checkpointsPut your VAE in: models/vaeAMD GPUs (Linux only)AMD users can install rocm and pytorch with pip if you don't have it already installed, this is the command to install the stable version:pip install torch ...
Fork84 Star1.4k Code Issues138 Pull requests2 Actions Projects Security Insights Additional navigation options New issue Closed Description gjnave kijai commentedon Nov 9, 2024 kijai Sign up for freeto join this conversation on GitHub.Already have an account?Sign in to comment ...
setInputNode("checkpoint", "4.inputs.ckpt_name") .setInputNode("seed", "3.inputs.seed") .setInputNode("batch", "5.inputs.batch_size") .setInputNode("negative", "7.inputs.text") .setInputNode("positive", "6.inputs.text") .setInputNode("cfg", "3.inputs.cfg") .setInput...
:number)=>{constworkflow=newPromptBuilder(ExampleTxt2ImgWorkflow,["positive","negative","checkpoint","seed","batch","step","cfg","sampler","sheduler","width","height"],["images"]).setInputNode("checkpoint","4.inputs.ckpt_name").setInputNode("seed","3.inputs.seed").setInputNode("...
:number)=>{constworkflow=newPromptBuilder(ExampleTxt2ImgWorkflow,["positive","negative","checkpoint","seed","batch","step","cfg","sampler","sheduler","width","height"],["images"]).setInputNode("checkpoint","4.inputs.ckpt_name").setInputNode("seed","3.inputs.seed").setInputNode("...
关注 在导入一个工作流时,提示”Error: Set node input undefined. Most likely you're missing custom nodes”,然后点击确定后,接着提示“Preset text '高质量' not found. Please fix this and queue again.” 我一开始以为只是一次简单的提示错误,点击“确定”用不了大不了就不用了...
def load_checkpoint(self, ckpt_name): ckpt_path = folder_paths.get_full_path("checkpoints", ckpt_name) model, clip, vae = load_checkpoint(ckpt_path) if vae is None: # 这个错误比后面节点中的"'NoneType' has no attribute"错误更有用 vae = ExecutionBlocker(f"加载的模型 {ckpt_name} 中...
def load_checkpoint(self, ckpt_name): ckpt_path = folder_paths.get_full_path("checkpoints", ckpt_name) model, clip, vae = load_checkpoint(ckpt_path) if vae is None: # 这个错误比后面节点中的"'NoneType' has no attribute"错误更有用 vae = ExecutionBlocker(f"加载的模型 {ckpt_name} 中...