Update README.md

README.md

@@ -38,7 +38,7 @@ from diffusers import StableDiffusionPipeline
 pipe = StableDiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2-1", torch_dtype=torch.float16)
 
 # Then add the lora weights to the model stable diffusion 2
-pipe.unet.load_attn_procs('remi349/sd_trained_3D_lora')
+pipe.unet.load_attn_procs('ACROSS-Lab/sd_finetuned')
 pipe.to("cuda")
 
 # Then you can begin the inference process on a prompt and save the image generated
@@ -63,4 +63,4 @@ dataset = load_dataset("remi349/finetuning_dataset_for_3D_training", split = 'tr
 This dataset is a subset of the dataset [Objaverse](https://objaverse.allenai.org/). 
 
 ## Collaboration
-This model and dataset has been made in collaboration with [Josué ADOSSEHOUN](https://huggingface.co/josh007)
+This model and dataset has been made in collaboration by [Josué ADOSSEHOUN](https://huggingface.co/josh007) and [Rémi DUCOTTET](https://huggingface.co/remi349)