Discourage using deprecated revision parameter (huggingface#8573)

* Discourage using `revision`

* `make style && make quality`

* Refactor code to use 'variant' instead of 'revision'

* `revision="bf16"` -> `variant="bf16"`

---------

Co-authored-by: Sayak Paul <[email protected]>

Author: tolgacangoz

docs/source/en/api/pipelines/stable_diffusion/stable_diffusion_2.md

@@ -48,7 +48,7 @@ from diffusers import DiffusionPipeline, DPMSolverMultistepScheduler
 import torch
 
 repo_id = "stabilityai/stable-diffusion-2-base"
-pipe = DiffusionPipeline.from_pretrained(repo_id, torch_dtype=torch.float16, revision="fp16")
+pipe = DiffusionPipeline.from_pretrained(repo_id, torch_dtype=torch.float16, variant="fp16")
 
 pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config)
 pipe = pipe.to("cuda")
@@ -72,7 +72,7 @@ init_image = load_image(img_url).resize((512, 512))
 mask_image = load_image(mask_url).resize((512, 512))
 
 repo_id = "stabilityai/stable-diffusion-2-inpainting"
-pipe = DiffusionPipeline.from_pretrained(repo_id, torch_dtype=torch.float16, revision="fp16")
+pipe = DiffusionPipeline.from_pretrained(repo_id, torch_dtype=torch.float16, variant="fp16")
 
 pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config)
 pipe = pipe.to("cuda")

docs/source/en/using-diffusers/schedulers.md

@@ -186,7 +186,7 @@ scheduler, scheduler_state = FlaxDPMSolverMultistepScheduler.from_pretrained(
 pipeline, params = FlaxStableDiffusionPipeline.from_pretrained(
     "runwayml/stable-diffusion-v1-5",
     scheduler=scheduler,
-    revision="bf16",
+    variant="bf16",
     dtype=jax.numpy.bfloat16,
 )
 params["scheduler"] = scheduler_state

docs/source/en/using-diffusers/stable_diffusion_jax_how_to.md

@@ -63,7 +63,7 @@ Flax is a functional framework, so models are stateless and parameters are store
 dtype = jnp.bfloat16
 pipeline, params = FlaxStableDiffusionPipeline.from_pretrained(
     "CompVis/stable-diffusion-v1-4",
-    revision="bf16",
+    variant="bf16",
     dtype=dtype,
 )
 ```

docs/source/ko/using-diffusers/schedulers.md

@@ -296,7 +296,7 @@ scheduler, scheduler_state = FlaxDPMSolverMultistepScheduler.from_pretrained(
 pipeline, params = FlaxStableDiffusionPipeline.from_pretrained(
     model_id,
     scheduler=scheduler,
-    revision="bf16",
+    variant="bf16",
     dtype=jax.numpy.bfloat16,
 )
 params["scheduler"] = scheduler_state

docs/source/ko/using-diffusers/stable_diffusion_jax_how_to.md

@@ -83,7 +83,7 @@ Flax는 함수형 프레임워크이므로 모델은 무상태(stateless)형이
 ```python
 pipeline, params = FlaxStableDiffusionPipeline.from_pretrained(
     "CompVis/stable-diffusion-v1-4",
-    revision="bf16",
+    variant="bf16",
     dtype=dtype,
 )
 ```

examples/community/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")
 

examples/community/tiled_upscaling.py

@@ -282,7 +282,7 @@ def __call__(
 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")
 

src/diffusers/pipelines/pipeline_flax_utils.py

@@ -296,7 +296,7 @@ def from_pretrained(cls, pretrained_model_name_or_path: Optional[Union[str, os.P
         >>> # see more in [the documentation](https://huggingface.co/docs/hub/security-tokens)
         >>> pipeline, params = FlaxDiffusionPipeline.from_pretrained(
         ...     "runwayml/stable-diffusion-v1-5",
-        ...     revision="bf16",
+        ...     variant="bf16",
         ...     dtype=jnp.bfloat16,
         ... )
 
@@ -310,7 +310,7 @@ def from_pretrained(cls, pretrained_model_name_or_path: Optional[Union[str, os.P
         ... )
 
         >>> dpm_pipe, dpm_params = FlaxStableDiffusionPipeline.from_pretrained(
-        ...     model_id, revision="bf16", dtype=jnp.bfloat16, scheduler=dpmpp
+        ...     model_id, variant="bf16", dtype=jnp.bfloat16, scheduler=dpmpp
         ... )
         >>> dpm_params["scheduler"] = dpmpp_state
         ```
@@ -564,7 +564,7 @@ def components(self) -> Dict[str, Any]:
         ... )
 
         >>> text2img = FlaxStableDiffusionPipeline.from_pretrained(
-        ...     "runwayml/stable-diffusion-v1-5", revision="bf16", dtype=jnp.bfloat16
+        ...     "runwayml/stable-diffusion-v1-5", variant="bf16", dtype=jnp.bfloat16
         ... )
         >>> img2img = FlaxStableDiffusionImg2ImgPipeline(**text2img.components)
         ```

src/diffusers/pipelines/stable_diffusion/pipeline_flax_stable_diffusion.py

@@ -55,7 +55,7 @@
         >>> from diffusers import FlaxStableDiffusionPipeline
 
         >>> pipeline, params = FlaxStableDiffusionPipeline.from_pretrained(
-        ...     "runwayml/stable-diffusion-v1-5", revision="bf16", dtype=jax.numpy.bfloat16
+        ...     "runwayml/stable-diffusion-v1-5", variant="bf16", dtype=jax.numpy.bfloat16
         ... )
 
         >>> prompt = "a photo of an astronaut riding a horse on mars"

src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_upscale.py

@@ -612,7 +612,7 @@ def __call__(
         >>> # load model and scheduler
         >>> model_id = "stabilityai/stable-diffusion-x4-upscaler"
         >>> pipeline = StableDiffusionUpscalePipeline.from_pretrained(
-        ...     model_id, revision="fp16", torch_dtype=torch.float16
+        ...     model_id, variant="fp16", torch_dtype=torch.float16
         ... )
         >>> pipeline = pipeline.to("cuda")