knox ревизій цього gist . До ревизії
1 file changed, 2 deletions
Diffusers-6.md
@@ -1,5 +1,3 @@ | |||
1 | - | ## How to navigate the documentation | |
2 | - | ||
3 | 1 | | **Documentation** | **What can I learn?** | | |
4 | 2 | |---------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | |
5 | 3 | | [Tutorial](https://huggingface.co/docs/diffusers/tutorials/tutorial_overview) | A basic crash course for learning how to use the library's most important features like using models and schedulers to build your own diffusion system, and training your own diffusion model. | |
knox ревизій цього gist . До ревизії
1 file changed, 3 insertions, 1 deletion
Diffusers-6.md
@@ -1,7 +1,9 @@ | |||
1 | + | ## How to navigate the documentation | |
2 | + | ||
1 | 3 | | **Documentation** | **What can I learn?** | | |
2 | 4 | |---------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | |
3 | 5 | | [Tutorial](https://huggingface.co/docs/diffusers/tutorials/tutorial_overview) | A basic crash course for learning how to use the library's most important features like using models and schedulers to build your own diffusion system, and training your own diffusion model. | | |
4 | 6 | | [Loading](https://huggingface.co/docs/diffusers/using-diffusers/loading_overview) | Guides for how to load and configure all the components (pipelines, models, and schedulers) of the library, as well as how to use different schedulers. | | |
5 | 7 | | [Pipelines for inference](https://huggingface.co/docs/diffusers/using-diffusers/pipeline_overview) | Guides for how to use pipelines for different inference tasks, batched generation, controlling generated outputs and randomness, and how to contribute a pipeline to the library. | | |
6 | 8 | | [Optimization](https://huggingface.co/docs/diffusers/optimization/opt_overview) | Guides for how to optimize your diffusion model to run faster and consume less memory. | | |
7 | - | | [Training](https://huggingface.co/docs/diffusers/training/overview) | Guides for how to train a diffusion model for different tasks with different training techniques. | | |
9 | + | | [Training](https://huggingface.co/docs/diffusers/training/overview) | Guides for how to train a diffusion model for different tasks with different training techniques. |
knox ревизій цього gist . До ревизії
1 file changed, 7 insertions
Diffusers-6.md(файл створено)
@@ -0,0 +1,7 @@ | |||
1 | + | | **Documentation** | **What can I learn?** | | |
2 | + | |---------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | |
3 | + | | [Tutorial](https://huggingface.co/docs/diffusers/tutorials/tutorial_overview) | A basic crash course for learning how to use the library's most important features like using models and schedulers to build your own diffusion system, and training your own diffusion model. | | |
4 | + | | [Loading](https://huggingface.co/docs/diffusers/using-diffusers/loading_overview) | Guides for how to load and configure all the components (pipelines, models, and schedulers) of the library, as well as how to use different schedulers. | | |
5 | + | | [Pipelines for inference](https://huggingface.co/docs/diffusers/using-diffusers/pipeline_overview) | Guides for how to use pipelines for different inference tasks, batched generation, controlling generated outputs and randomness, and how to contribute a pipeline to the library. | | |
6 | + | | [Optimization](https://huggingface.co/docs/diffusers/optimization/opt_overview) | Guides for how to optimize your diffusion model to run faster and consume less memory. | | |
7 | + | | [Training](https://huggingface.co/docs/diffusers/training/overview) | Guides for how to train a diffusion model for different tasks with different training techniques. | |