我们在图像条件视频生成和布局条件视频生成中验证了所提出的策略,都取得了最佳效果。 模型存放 代码语言:javascript 代码运行次数:0 运行 AI代码解释 sd15_t2v_beta.ckpt ComfyUI/models/animatediff_models sd15_lora_beta.safetensors ComfyUI/models/loras 工作流必须的节点 代码语言:javascript 代码运行次数:0 ...
fp16.safetensors*"], 96 100 local_dir=svd_path, 97 101 local_dir_use_symlinks=False) 102 + else: 103 + if not os.path.exists(svd_path): 104 + print(f"Downloading SVD model to: {model_path}") 105 + from huggingface_hub import snapshot_download 106 + snapshot_...
Where to get the unet file? I only have the whole safetensors file with all components. giusparsifal on May 25, 2024 Hell, sorry for my question, what does it means "workflow is in the image"? I can't understand it, please someone will explain me? Thank you... when i tried to ...
ARWSweetLolita.safetensors rife47.pth 4xUltrasharp_4xUltrasharpV10.pt 资源下载 下载价格4积分 VIP免费 立即购买 此资源购买后60天内可下载。限时福利:新注册用户可获得5积分奖励～ 常见问题 工作流报错? 工作流缺少节点? 工作流模型和推荐模型不一样?
"type": "CLIP" }, { "links": [], "name": "VAE", "shape": 3, "type": "VAE" } ], "properties": { "Node name for S&R": "CheckpointLoaderSimple" }, "widgets_values": [ "SD1.5/dreamshaper_8.safetensors" ] }, { "id": 64, "type": "LoraLo...
"!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/ckpt/LCM_Dreamshaper_v7/resolve/main/LCM_Dreamshaper_v7_4k.safetensors -d /content/stable-diffusion-webui/models/Stable-diffusion -o LCM_Dreamshaper_v7_4k.safetensors\n", 54 + "\n", 55 + "...
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Here's a simple example: ./bin/sd -m ../models/v1-5-pruned-emaonly.safetensors -p "a lovely cat<lora:lcm-lora-sdv1-5:1>" --steps 4 --lora-model-dir ../models -v --cfg-scale 1 without LCM-LoRA (--cfg-scale 7)with LCM-LoRA (--cfg-scale 1)...
Files main ComfyUI_Architecture ComfyUI_Workflows-main ComfyUI_human Cc啊程、AC_FUN_LCM默认工作流.json Cc啊程、Animatediff参数工作流.json Cc啊程、IP艺术字参数.json Cc啊程、LCMA1111提示词工作流放大版.json Cc啊程、LCM参数工作流.json
cross_attention_kwargs: Optional[Dict[str, Any]] = None, clip_skip: Optional[int] = None, callback_on_step_end: Optional[Callable[[int, int, Dict], None]] = None, callback_on_step_end_tensor_inputs: List[str] = ["latents"], ): r""" The call function to the pipeline for ...