import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("kellempxt/civitai-loras")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]LoRA Collection
A collection of LoRA models organized by base model type.
Structure
pony/- Pony Diffusion LoRAssdxl/- SDXL LoRAsflux/- Flux LoRAs
Usage
from diffusers import AutoPipelineForText2Image
pipe = AutoPipelineForText2Image.from_pretrained("base-model")
pipe.load_lora_weights("kellempxt/civitai-loras", subfolder="pony/JOB_UUID")
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