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main/README.md

@@ -421,7 +421,7 @@ import torch
 
 pipe = DiffusionPipeline.from_pretrained(
     "CompVis/stable-diffusion-v1-4",
-    revision='fp16',
+    variant='fp16',
     torch_dtype=torch.float16,
     safety_checker=None,  # Very important for videos...lots of false positives while interpolating
     custom_pipeline="interpolate_stable_diffusion",
@@ -462,7 +462,7 @@ def download_image(url):
     response = requests.get(url)
     return PIL.Image.open(BytesIO(response.content)).convert("RGB")
 
-pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", custom_pipeline="stable_diffusion_mega", torch_dtype=torch.float16, revision="fp16")
+pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", custom_pipeline="stable_diffusion_mega", torch_dtype=torch.float16, variant="fp16")
 pipe.to("cuda")
 pipe.enable_attention_slicing()
 
@@ -1506,12 +1506,12 @@ scheduler = DDIMScheduler.from_pretrained("stabilityai/stable-diffusion-2-1",
 
 pipe = StableDiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2-1",
                                                 custom_pipeline="stable_diffusion_tensorrt_txt2img",
-                                                revision='fp16',
+                                                variant='fp16',
                                                 torch_dtype=torch.float16,
                                                 scheduler=scheduler,)
 
 # re-use cached folder to save ONNX models and TensorRT Engines
-pipe.set_cached_folder("stabilityai/stable-diffusion-2-1", revision='fp16',)
+pipe.set_cached_folder("stabilityai/stable-diffusion-2-1", variant='fp16',)
 
 pipe = pipe.to("cuda")
 
@@ -1568,7 +1568,7 @@ text_encoder = CLIPTextModel.from_pretrained(
 pipeline = DiffusionPipeline.from_pretrained(
     pretrained_model_name_or_path="CompVis/stable-diffusion-v1-4",
     custom_pipeline="edict_pipeline",
-    revision="fp16",
+    variant="fp16",
     scheduler=scheduler,
     text_encoder=text_encoder,
     leapfrog_steps=True,
@@ -1660,12 +1660,12 @@ scheduler = DDIMScheduler.from_pretrained("stabilityai/stable-diffusion-2-1",
 
 pipe = StableDiffusionImg2ImgPipeline.from_pretrained("stabilityai/stable-diffusion-2-1",
                                                 custom_pipeline="stable_diffusion_tensorrt_img2img",
-                                                revision='fp16',
+                                                variant='fp16',
                                                 torch_dtype=torch.float16,
                                                 scheduler=scheduler,)
 
 # re-use cached folder to save ONNX models and TensorRT Engines
-pipe.set_cached_folder("stabilityai/stable-diffusion-2-1", revision='fp16',)
+pipe.set_cached_folder("stabilityai/stable-diffusion-2-1", variant='fp16',)
 
 pipe = pipe.to("cuda")
 
@@ -2251,13 +2251,13 @@ scheduler = PNDMScheduler.from_pretrained("stabilityai/stable-diffusion-2-inpain
 
 pipe = StableDiffusionInpaintPipeline.from_pretrained("stabilityai/stable-diffusion-2-inpainting",
     custom_pipeline="stable_diffusion_tensorrt_inpaint",
-    revision='fp16',
+    variant='fp16',
     torch_dtype=torch.float16,
     scheduler=scheduler,
     )
 
 # re-use cached folder to save ONNX models and TensorRT Engines
-pipe.set_cached_folder("stabilityai/stable-diffusion-2-inpainting", revision='fp16',)
+pipe.set_cached_folder("stabilityai/stable-diffusion-2-inpainting", variant='fp16',)
 
 pipe = pipe.to("cuda")
 

main/README_community_scripts.md

@@ -1,6 +1,6 @@
 # Community Scripts
 
-**Community scripts** consist of inference examples using Diffusers pipelines that have been added by the community. 
+**Community scripts** consist of inference examples using Diffusers pipelines that have been added by the community.
 Please have a look at the following table to get an overview of all community examples. Click on the **Code Example** to get a copy-and-paste code example that you can try out.
 If a community script doesn't work as expected, please open an issue and ping the author on it.
 

main/tiled_upscaling.py

@@ -282,7 +282,7 @@ class StableDiffusionTiledUpscalePipeline(StableDiffusionUpscalePipeline):
 def main():
     # Run a demo
     model_id = "stabilityai/stable-diffusion-x4-upscaler"
-    pipe = StableDiffusionTiledUpscalePipeline.from_pretrained(model_id, revision="fp16", torch_dtype=torch.float16)
+    pipe = StableDiffusionTiledUpscalePipeline.from_pretrained(model_id, variant="fp16", torch_dtype=torch.float16)
     pipe = pipe.to("cuda")
     image = Image.open("../../docs/source/imgs/diffusers_library.jpg")