metadata
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.**
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_ : "" \]