Instructions to use vipuldeore/actor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vipuldeore/actor 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("vipuldeore/actor") prompt = "UNICODE\u0000\u0000R\u0000a\u0000m\u0000i\u0000 \u0000M\u0000a\u0000l\u0000e\u0000k\u0000 \u0000d\u0000r\u0000e\u0000s\u0000s\u0000e\u0000d\u0000 \u0000u\u0000p\u0000 \u0000n\u0000e\u0000a\u0000r\u0000 \u0000h\u0000i\u0000s\u0000 \u0000P\u0000i\u0000r\u0000a\u0000n\u0000j\u0000a\u0000 \u0000a\u0000q\u0000u\u0000a\u0000r\u0000i\u0000u\u0000m\u0000" 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: "UNICODE\0\0R\0a\0m\0i\0 \0M\0a\0l\0e\0k\0 \0d\0r\0e\0s\0s\0e\0d\0 \0u\0p\0 \0n\0e\0a\0r\0 \0h\0i\0s\0 \0P\0i\0r\0a\0n\0j\0a\0 \0a\0q\0u\0a\0r\0i\0u\0m\0" | |
| output: | |
| url: images/ComfyUI_00064_.jpeg | |
| base_model: black-forest-labs/FLUX.1-dev | |
| instance_prompt: rami | |
| # actor | |
| <Gallery /> | |
| ## Trigger words | |
| You should use `rami` to trigger the image generation. | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](/vipuldeore/actor/tree/main) them in the Files & versions tab. | |