pcm_sdxl_normalcfg_8step_converted
更新2025-11-24 14:57发布时间2025-11-24 14:57
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pcm_sdxl_normalcfg_8step_converted - 1
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User_xt6597
类型
LoRA
基础模型
SDXL
发布时间
2025-11-24 14:57
文件签名
8447aa2749cb37e328c04292fb832747828ae4c17e945d6fc942a1555660297f
pcm_sdxl_normalcfg_8step_converted.safetensors
375.61 MB

SDXL Acceleration Model Original Model Download Link: https://huggingface.co/wangfuyun/PCM_Weights

4-Step Link: https://bizyair.cn/community/models/publicity/32037

Please use DDIM or Euler instead of LCM for sampling! When using DDIM, please set timestep_spacing="trailing", clip_sample = False, and set_alpha_to_one = False.

The name of each LoRA weight indicates how many inference steps it should be applied to.

The name of each LoRA weight indicates whether it supports normal CFG or small CFG.

NormalCFG means the model equipped with LoRA can generate images using a CFG value between 2–9. However, you should adjust the CFG value according to the number of steps used. When using fewer steps, a smaller CFG value should be used. For example, use CFG 2.5–3.5 for 4 steps, and CFG 3–6 for 8 steps. This is because the fewer the steps, the less chance the model has to fix issues caused by CFG. SmallCFG means the model equipped with LoRA can generate images using a CFG value between 1–2.

Note:

normalCFG LoRAs are more sensitive to prompts. Setting appropriate positive and negative prompts can improve quality. I found that running 4 steps with normalCFG doesn't work very well. I am currently trying to fix this issue.

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