M. Tolga Cangöz
32 lines
1.5 KiB
Plaintext
32 lines
1.5 KiB
Plaintext
<!--Copyright 2023 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.
|
|
-->
|
|
|
|
# Image Variation
|
|
|
|
## StableDiffusionImageVariationPipeline
|
|
|
|
[`StableDiffusionImageVariationPipeline`] lets you generate variations from an input image using Stable Diffusion. It uses a fine-tuned version of Stable Diffusion model, trained by [Justin Pinkney](https://www.justinpinkney.com/) (@Buntworthy) at [Lambda](https://lambdalabs.com/).
|
|
|
|
The original codebase can be found here:
|
|
[Stable Diffusion Image Variations](https://github.com/LambdaLabsML/lambda-diffusers#stable-diffusion-image-variations)
|
|
|
|
Available Checkpoints are:
|
|
- *sd-image-variations-diffusers*: [lambdalabs/sd-image-variations-diffusers](https://huggingface.co/lambdalabs/sd-image-variations-diffusers)
|
|
|
|
[[autodoc]] StableDiffusionImageVariationPipeline
|
|
- all
|
|
- __call__
|
|
- enable_attention_slicing
|
|
- disable_attention_slicing
|
|
- enable_xformers_memory_efficient_attention
|
|
- disable_xformers_memory_efficient_attention
|