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
File size: 616 Bytes
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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.
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