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Diffstat (limited to 'candle-examples/examples/stable-diffusion-3/README.md')
| -rw-r--r-- | candle-examples/examples/stable-diffusion-3/README.md | 20 |
1 files changed, 15 insertions, 5 deletions
diff --git a/candle-examples/examples/stable-diffusion-3/README.md b/candle-examples/examples/stable-diffusion-3/README.md index 52ebfa55..adae1b56 100644 --- a/candle-examples/examples/stable-diffusion-3/README.md +++ b/candle-examples/examples/stable-diffusion-3/README.md @@ -1,8 +1,8 @@ -# candle-stable-diffusion-3: Candle Implementation of Stable Diffusion 3 Medium +# candle-stable-diffusion-3: Candle Implementation of Stable Diffusion 3/3.5  -*A cute rusty robot holding a candle torch in its hand, with glowing neon text \"LETS GO RUSTY\" displayed on its chest, bright background, high quality, 4k* +*A cute rusty robot holding a candle torch in its hand, with glowing neon text \"LETS GO RUSTY\" displayed on its chest, bright background, high quality, 4k*, generated by Stable Diffusion 3 Medium Stable Diffusion 3 Medium is a text-to-image model based on Multimodal Diffusion Transformer (MMDiT) architecture. @@ -10,9 +10,17 @@ Stable Diffusion 3 Medium is a text-to-image model based on Multimodal Diffusion - [research paper](https://arxiv.org/pdf/2403.03206) - [announcement blog post](https://stability.ai/news/stable-diffusion-3-medium) +Stable Diffusion 3.5 is a family of text-to-image models with latest improvements: +- [announcement blog post](https://stability.ai/news/introducing-stable-diffusion-3-5) + +It has three variants: +- [Stable Diffusion 3.5 Large](https://huggingface.co/stabilityai/stable-diffusion-3.5-large) @ 8.1b params, with scaled and slightly modified MMDiT architecture. +- [Stable Diffusion 3.5 Large Turbo](https://huggingface.co/stabilityai/stable-diffusion-3.5-large-turbo) distilled version that enables 4-step inference. +- [Stable Diffusion 3.5 Medium](https://huggingface.co/stabilityai/stable-diffusion-3.5-medium) @ 2.5b params, with improved MMDiT-X architecture. + ## Getting access to the weights -The weights of Stable Diffusion 3 Medium is released by Stability AI under the Stability Community License. You will need to accept the conditions and acquire a license by visiting [the repo on HuggingFace Hub](https://huggingface.co/stabilityai/stable-diffusion-3-medium) to gain access to the weights for your HuggingFace account. +The weights of Stable Diffusion 3/3.5 is released by Stability AI under the Stability Community License. You will need to accept the conditions and acquire a license by visiting the repos on HuggingFace Hub to gain access to the weights for your HuggingFace account. To allow your computer to gain access to the public-gated repos on HuggingFace, you might need to create a [HuggingFace User Access Tokens](https://huggingface.co/docs/hub/en/security-tokens) (recommended) and log in on your computer if you haven't done that before. A convenient way to do the login is to use [huggingface-cli](https://huggingface.co/docs/huggingface_hub/en/guides/cli): @@ -27,10 +35,12 @@ On the first run, the weights will be automatically downloaded from the Huggingf ```shell cargo run --example stable-diffusion-3 --release --features=cuda -- \ - --height 1024 --width 1024 \ + --which 3-medium --height 1024 --width 1024 \ --prompt 'A cute rusty robot holding a candle torch in its hand, with glowing neon text \"LETS GO RUSTY\" displayed on its chest, bright background, high quality, 4k' ``` +To use different models, changed the value of `--which` option. (Possible values: `3-medium`, `3.5-large`, `3.5-large-turbo` and `3.5-medium`). + To display other options available, ```shell @@ -45,7 +55,7 @@ cargo run --example stable-diffusion-3 --release --features=cuda,flash-attn -- - ## Performance Benchmark -Below benchmark is done by generating 1024-by-1024 image from 28 steps of Euler sampling and measure the average speed (iteration per seconds). +Below benchmark is done with Stable Diffusion 3 Medium by generating 1024-by-1024 image from 28 steps of Euler sampling and measure the average speed (iteration per seconds). [candle](https://github.com/huggingface/candle) and [candle-flash-attn](https://github.com/huggingface/candle/tree/main/candle-flash-attn) is based on the commit of [0d96ec3](https://github.com/huggingface/candle/commit/0d96ec31e8be03f844ed0aed636d6217dee9c7bc). |