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
- Draw Things
- DiffusionBee
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- vector001.safetensors +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:f06c4e5474ff37eceb978e08b022dfedf0f1e93e8a4780b9d192539b663f2b64
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size 580482620
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