Edit model card

Totoro LoRA text2image fine-tuning

These are LoRA adaption weights for nitrosocke/Ghibli-Diffusion.

pipe = StableDiffusionPipeline.from_pretrained(
  model_id,
  torch_dtype=torch.float16,
  safety_checker=None,
)
pipe.enable_xformers_memory_efficient_attention()
pipe.load_lora_weights(./lora_weights)
pipe = pipe.to('cuda')

image = pipe(
  prompt='Totoro',
  num_inference_steps=66,
  guidance_scale=6.9,
  cross_attention_kwargs={'scale': 0.6 },
).images[0]

image1 image2 image3 image4 image5 image6 image7 image8 image9 image10

Downloads last month
4
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.