Instructions to use PLE/d15ff with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use PLE/d15ff 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("PLE/d15ff") prompt = "a flame fractal in the shape of a raccoon playing the electric guitar, PLE style" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| tags: | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| - template:diffusion-lora | |
| widget: | |
| - text: >- | |
| a flame fractal in the shape of a raccoon playing the electric guitar, PLE | |
| style | |
| output: | |
| url: images/bob2b.png | |
| - text: >- | |
| a flame fractal in the shape of a raccoon playing the electric guitar, PLE | |
| style | |
| output: | |
| url: images/bob2a.png | |
| base_model: black-forest-labs/FLUX.1-dev | |
| instance_prompt: null | |
| license: mit | |
| # d15ff | |
| <Gallery /> | |
| ## Model description | |
| This repository contains a LoRA (Low-Rank Adaptation) fine-tuned on black-forest-labs/FLUX.1-dev to generate images in the artistic style of flame fractals, as seen in this [dataset](https://huggingface.co/datasets/PLE/d15). This work is inspired by the blog post, "Fine-Tuning FLUX.1-dev on consumer hardware and in FP8". | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](/PLE/d15ff/tree/main) them in the Files & versions tab. | |