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PromptTo3D_sd_finetuned

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