Instructions to use burhansyam/eca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use burhansyam/eca 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("burhansyam/eca") prompt = "one girl" 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: one girl | |
| output: | |
| url: images/eca_flux.png | |
| base_model: black-forest-labs/FLUX.1-dev | |
| instance_prompt: eca, girl, woman, indonesia | |
| license: apache-2.0 | |
| # Eca Aura | |
| <Gallery /> | |
| ## Trigger words | |
| You should use `eca` to trigger the image generation. | |
| You should use `girl` to trigger the image generation. | |
| You should use `woman` to trigger the image generation. | |
| You should use `indonesia` to trigger the image generation. | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](/burhansyam/eca/tree/main) them in the Files & versions tab. | |