--- license: apache-2.0 library_name: diffusers pipeline_tag: text-to-image tags: - stable-diffusion - lora - diffusers - template:sd-lora - text-to-image - converted base_model: stabilityai/stable-diffusion-xl-base-1.0 --- Currently producing an error of LoRA Invalid checkpoint.. Well.. I must see that before retrying. # customModelInfos: * # (modelName) : fs SDXL ownBluePencil7 * # (workingWith) : HuggingFace API Inference (free/paid/endpoints) * # (useWithin) : Stable Diffusion ready with SDXL support * # (baseModel) : check that model card infos # categoryModelType -> check tags ## conversionDetails * **Converted tool ::** to-be-defined but it's {Convert-Safetensors-To-Diffusers} available in my account * **Converted from ::** [https://huggingface.co/bluepen5805/blue_pencil-XL/blob/main/blue_pencil-XL-v7.0.0.safetensors](https://huggingface.co/bluepen5805/blue_pencil-XL/blob/main/blue_pencil-XL-v7.0.0.safetensors).** ## conversionSettings - _TickedOn_ : "Upload single safetensors file into new repo" - _ModelType_ : "SDXL" - _Presets_ : "Hyper-SDXL / SPO" - _Outout datatype_ : "fp16" - _Converted Advanced Settings_ :\[ ° _VAE_ : "https://huggingface.co/madebyollin/sdxl-vae-fp16-fix/blob/main/sdxl.vae.safetensors"
° _Clip_ : ""
° _Scheduler (Sampler) : "TCD"
° _LoRa1_ : "https://huggingface.co/ByteDance/Hyper-SD/blob/main/Hyper-SDXL-8steps-CFG-lora.safetensors"
° _LoRa1 weight scale_ : "1"
° _LoRa2_ : "https://huggingface.co/SPO-Diffusion-Models/SPO-SDXL_4k-p_10ep_LoRA/blob/main/spo_sdxl_10ep_4k-data_lora_diffusers.safetensors"
° _LoRa2 weight scale_ : "1"
° _LoRa3_ : ""
° _LoRa3 weight scale_ : ""
° _LoRa4_ : ""
° _LoRa4 weight scale_ : ""
° _LoRa5_ : ""
° _LoRa5 weight scale_ : "" \]