Instructions to use IronFelix/vector001 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use IronFelix/vector001 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("IronFelix/vector001") prompt = "vector001 A simple vector illustration of a female speaker in office clothes gives a report to a room with seated spectators. The speaker points to a white screen on which a bright financial histogram showing financial growth is visible.. black, white, cyan, <lora:vector001:1.5>" 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: >- | |
| vector001 A simple vector illustration of a female speaker in office clothes | |
| gives a report to a room with seated spectators. The speaker points to a | |
| white screen on which a bright financial histogram showing financial growth | |
| is visible.. black, white, cyan, <lora:vector001:1.5> | |
| output: | |
| url: images/00004-2270437705.png | |
| base_model: black-forest-labs/FLUX.1-dev | |
| instance_prompt: vector001 | |
| license: apache-2.0 | |
| # vector001 | |
| <Gallery /> | |
| ## Model description | |
|  | |
| ## Trigger words | |
| You should use `vector001` to trigger the image generation. | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](/IronFelix/vector001/tree/main) them in the Files & versions tab. | |