[FLUX] PuLID simple workflow (Beginner, Basic) — v1.0

[FLUX] PuLID simple workflow (Beginner, Basic) is for learning to generate consistent faces in Flux with PuLID; it takes text and image inputs through CLIPTextEncode and LoadImage, and includes PreviewImage and SaveImage for image previews and saved images.

PuLID node connections and configuration are organized step by step for beginners.

CLIPTextEncode and LoadImage are the named text- and image-input nodes; PreviewImage and SaveImage are included for image previews and saved images.

The instructions provide download locations and installation steps for the required model files.

Named model files are clip_l.safetensors, FLUX_VAE_diffusion_pytorch_model.safetensors, flux1-dev-fp8.safetensors, flux1-dev-Q8_0.gguf, pulid_flux_v0.9.0.safetensors, t5xxl_fp16.safetensors, and t5xxl_fp8_e4m3fn.safetensors.

Named components include ApplyPulidFlux, BasicGuider, BasicScheduler, CLIPTextEncode, DualCLIPLoader, DualCLIPLoaderGGUF, EmptySD3LatentImage, FluxGuidance, Image Comparer (rgthree), KSamplerSelect, and LoadImage.

Additional named components include PreviewImage, PulidFluxEvaClipLoader, PulidFluxInsightFaceLoader, PulidFluxModelLoader, RandomNoise, SamplerCustomAdvanced, SaveImage, UNETLoader, UnetLoaderGGUF, VAEDecode, and VAELoader.

The default nodes use GGUF models; the Options include ClipLoader and Diffusion Model for switching to standard Flux models.

The listed base model is Flux.1 D, and the listed version is v1.0.

Before using it, check that the required model files and named components are available in your setup.

Suggestion · non vérifié

No license is listed for the workflow.