I'm upgrading my stable diffusion from 2-1 to stable-diffusion-3-medium-diffusers Here is my code which is working for version 2-1 # source venv/bin/activate from diffusers import DiffusionPipeline pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2-1") pipe = pipe.to("mps") pipe.enable_attention_slicing() print("Starting Process") steps = 200 query = "Stormy Weather in Monte Carlo" image = pipe(query, num_inference_steps=steps).images[0] image.save("oneOffImage.jpg") print("Successfully Created Image as oneOffImage.jpg") I upgraded diffusers, signed up on hugging face for access to the gated repo, created and added the HF_TOKEN to my .env, and ran this code # source venv/bin/activate from diffusers import StableDiffusion3Pipeline from dotenv import load_dotenv import os load_dotenv() print("Starting Process") pipe = StableDiffusion3Pipeline.from_pretrained("stabilityai/stable-diffusion-3-medium-diffusers") pipe = pipe.to("mps") # pipe.set_progress_bar_config(disable=True) pipe.enable_attention_slicing() print("Starting Process") steps = 200 query = "Stormy Weather in Monte Carlo" image = pipe(query, num_inference_steps=steps).images[0] image.save("oneOffImage.jpg") print("Successfully Created Image as oneOffImage.jpg") I was able to download the model, also I logged the token and confirmed it's in the env vars, I tried adding torch and setting , torch_dtype=torch.float16) but that did nothing plus I think thats for cuda, I also tried adding an auth tag but that did nothing, I upgraded my transformers but I don't even thing that did anything. I'm running out of ideas. Here is the current error (venv) mikeland@mikes-mac-mini WeatherWindow % python3 oneOffGenStableDiffusion.py /Users/mikeland/WeatherWindow/venv/lib/python3.9/site-packages/diffusers/models/transformers/transformer_2d.py:34: FutureWarning: `Transformer2DModelOutput` is deprecated and will be removed in version 1.0.0. Importing `Transformer2DModelOutput` from `diffusers.models.transformer_2d` is deprecated and this will be removed in a future version. Please use `from diffusers.models.modeling_outputs import Transformer2DModelOutput`, instead. deprecate("Transformer2DModelOutput", "1.0.0", deprecation_message) Starting Process Loading pipeline components...: 0%| | 0/9 [00:00<?, ?it/s] Traceback (most recent call last): File "/Users/mikeland/WeatherWindow/oneOffGenStableDiffusion.py", line 15, in <module> pipe = StableDiffusion3Pipeline.from_pretrained("stabilityai/stable-diffusion-3-medium-diffusers") File "/Users/mikeland/WeatherWindow/venv/lib/python3.9/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn return fn(*args, **kwargs) File "/Users/mikeland/WeatherWindow/venv/lib/python3.9/site-packages/diffusers/pipelines/pipeline_utils.py", line 881, in from_pretrained loaded_sub_model = load_sub_model( File "/Users/mikeland/WeatherWindow/venv/lib/python3.9/site-packages/diffusers/pipelines/pipeline_loading_utils.py", line 703, in load_sub_model loaded_sub_model = load_method(os.path.join(cached_folder, name), **loading_kwargs) File "/Users/mikeland/WeatherWindow/venv/lib/python3.9/site-packages/transformers/modeling_utils.py", line 3122, in from_pretrained raise ImportError( ImportError: Using `low_cpu_mem_usage=True` or a `device_map` requires Accelerate: `pip install accelerate` I'm just looking for ANY example I can get to work on Mac at this point. Continue reading...