这是一个集成通量填充的初学者友好的Canny ControlNet工作流程 – 黑森林实验室创建的官方通量填充模型 – Flux的原始开发人员
这是Lora模型版本。 我之所以选择Lora方法,是因为在测试后,我意识到加载Canny Lora版本会产生足够的质量效果,同时还可以调整Lora的力量。 与大小超过20GB的Canny扩散模型相比,这是有利的,更具初学者的友好型。
If you want to try out the Canny model, simply replace the load diffusion model and lora nodes with a single diffusion model loader (using the full flux dev canny model)
Prerequisites:
– Update ComfyUI to the latest version
– Download flux canny safetensors file from: https://huggingface.co/black-forest-labs/flux.1-canny-dev-lora/tree/main/main
– 可选:下载完整的Canny模型:https://hugging.co/black-forest–forest–forest–forest-in-Labs/flux.1-Canny-dev
链接到其他通量工具的链接初学者友好工作流程:
flux填充(intpaint) – https://openart.ai/workflows/odam_ai/flux-fill-in-inpaint— filcial-flux-tools-bbl–bfl—-beginner-friendly/8wipszy0aouxsgfdfivp
https://openart.ai/workflows/odam_ai/flux-fill outpaint— filcial-flux-tools-bbl–bfl—–beginner-friendlightliend-edit/6cebgmyrvdp35r4po4po4s9
https://openart.ai/workflows/odam_ai/flux-tools-best-depth-controlnet–官方 – flux-tools-bby-bfl—beginner—beginner-friendly/2udesn35mpgieqt1tgyu https://openart.ai/workflows/odam_ai/flux-tools-best-canne-canner-controlnet– fricial-flux-tools-bbl–bfl—beginner-friendly/o8alfwdcokgcygcyjx79jm0flux redux– https://openart.ai/workflows/odam_ai/flux-redux– facticial-flux-tools-bbl—–beginner-friendly/tggyqy7kri5bmzaulhii