mirror of
https://github.com/huggingface/diffusers.git
synced 2026-01-27 17:22:53 +03:00
8aac1f99d7
* Update README.md Additionally add FLAX so the model card can be slimmer and point to this page * Find and replace all * v-1-5 -> v1-5 * revert test changes * Update README.md Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Update docs/source/quicktour.mdx Co-authored-by: Pedro Cuenca <pedro@huggingface.co> * Update README.md Co-authored-by: Pedro Cuenca <pedro@huggingface.co> * Update docs/source/quicktour.mdx Co-authored-by: Pedro Cuenca <pedro@huggingface.co> * Update README.md Co-authored-by: Suraj Patil <surajp815@gmail.com> * Revert certain references to v1-5 * Docs changes * Apply suggestions from code review Co-authored-by: apolinario <joaopaulo.passos+multimodal@gmail.com> Co-authored-by: anton-l <anton@huggingface.co> Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> Co-authored-by: Pedro Cuenca <pedro@huggingface.co> Co-authored-by: Suraj Patil <surajp815@gmail.com>
43 lines
1.7 KiB
Plaintext
43 lines
1.7 KiB
Plaintext
<!--Copyright 2022 The HuggingFace Team. All rights reserved.
|
|
|
|
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
|
|
the License. You may obtain a copy of the License at
|
|
|
|
http://www.apache.org/licenses/LICENSE-2.0
|
|
|
|
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
|
|
an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
|
|
specific language governing permissions and limitations under the License.
|
|
-->
|
|
|
|
|
|
# How to use the ONNX Runtime for inference
|
|
|
|
🤗 Diffusers provides a Stable Diffusion pipeline compatible with the ONNX Runtime. This allows you to run Stable Diffusion on any hardware that supports ONNX (including CPUs), and where an accelerated version of PyTorch is not available.
|
|
|
|
## Installation
|
|
|
|
- TODO
|
|
|
|
## Stable Diffusion Inference
|
|
|
|
The snippet below demonstrates how to use the ONNX runtime. You need to use `StableDiffusionOnnxPipeline` instead of `StableDiffusionPipeline`. You also need to download the weights from the `onnx` branch of the repository, and indicate the runtime provider you want to use.
|
|
|
|
```python
|
|
# make sure you're logged in with `huggingface-cli login`
|
|
from diffusers import StableDiffusionOnnxPipeline
|
|
|
|
pipe = StableDiffusionOnnxPipeline.from_pretrained(
|
|
"runwayml/stable-diffusion-v1-5",
|
|
revision="onnx",
|
|
provider="CUDAExecutionProvider",
|
|
)
|
|
|
|
prompt = "a photo of an astronaut riding a horse on mars"
|
|
image = pipe(prompt).images[0]
|
|
```
|
|
|
|
## Known Issues
|
|
|
|
- Generating multiple prompts in a batch seems to take too much memory. While we look into it, you may need to iterate instead of batching.
|