I’m using the example code in textual inversion to generate images:
from diffusers import StableDiffusionPipeline
model_id = "path-to-your-trained-model"
pipe = StableDiffusionPipeline.from_pretrained(model_id,torch_dtype=torch.float16).to("cuda")
prompt = "A <cat-toy> backpack"
image = pipe(prompt, num_inference_steps=50, guidance_scale=7.5).images[0]
image.save("cat-backpack.png")
How do I display /determine which model (1.4/1.5/etc) that StableDiffusionPipeline is using. When I add the model here it is just the generated model.
Thanks for your time!