
Flux doesn’t natively support CFG as previous models do, and are instead using their own type of Guider. However, using custom nodes it is possible to use CFG on the Flux models. Setting CFG will also allow the use of negative prompts (but I’m not sure how effective that is). By adding CFG early on in the generation both intensity and details are enhanced, and the time it takes to generate an image almost doubles. A tradeoff is to add CFG early on and then switch it off and inject noise. This way the time it takes to generate an image is only slightly longer than without CGF.
描述:
Sample workflows as requested
训练词语:
名称: fluxWithCFGNegative_samples.zip
大小 (KB): 3829
类型: Archive
Pickle 扫描结果: Success
Pickle 扫描信息: No Pickle imports
病毒扫描结果: Success