Instructions to use Valeeeee/Yak35large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Valeeeee/Yak35large with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-3.5-large", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Valeeeee/Yak35large") prompt = "yakovsdl35l" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from Valeeeee/Yak35large: direct link, hf CLI and curl.
- Browser
- Download file 895 Bytes
-
https://huggingface.co/Valeeeee/Yak35large/resolve/main/README.md
- Command line
-
hf download hf://Valeeeee/Yak35large/README.md
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curl -L -o README.md https://huggingface.co/Valeeeee/Yak35large/resolve/main/README.md
895 Bytes
| license: other | |
| license_name: stabilityai-ai-community | |
| license_link: https://huggingface.co/stabilityai/stable-diffusion-3.5-large/blob/main/LICENSE.md | |
| language: | |
| - en | |
| tags: | |
| - sd3.5-large | |
| - diffusers | |
| - lora | |
| - replicate | |
| base_model: stabilityai/stable-diffusion-3.5-large | |
| pipeline_tag: text-to-image | |
| # widget: | |
| # - text: >- | |
| # prompt | |
| # output: | |
| # url: https://... | |
| instance_prompt: yakovsdl35l | |
| # Yak35Large | |
| <Gallery /> | |
| Trained on Replicate using: | |
| https://replicate.com/lucataco/sd3.5-fine-tuner/train | |
| ## Trigger words | |
| You should use `yakovsdl35l` to trigger the image generation. | |
| ## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers) | |
| For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters) | |