Instructions to use sagata007/df with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sagata007/df with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("sagata007/df") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from sagata007/df: direct link, hf CLI and curl.
- Browser
- Download file 445 Bytes
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https://huggingface.co/sagata007/df/resolve/main/README.md
- Command line
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hf download hf://sagata007/df/README.md
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curl -L -o README.md https://huggingface.co/sagata007/df/resolve/main/README.md
445 Bytes
| tags: | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| - template:diffusion-lora | |
| widget: | |
| - output: | |
| url: images/7cfec45a-5c79-4368-98eb-30e128831c5e.png | |
| text: '-' | |
| base_model: black-forest-labs/FLUX.1-dev | |
| instance_prompt: GrittyDark style. | |
| # df | |
| <Gallery /> | |
| ## Trigger words | |
| You should use `GrittyDark style.` to trigger the image generation. | |
| ## Download model | |
| [Download](/sagata007/df/tree/main) them in the Files & versions tab. | |