Instructions to use davisbro/flux-multi-angle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use davisbro/flux-multi-angle 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("davisbro/flux-multi-angle") prompt = "A TOK composite photo of a person posing at different angles, wearing a leather black jacket and graphic t-shirt, long black flaming cargo pants, blond hair, 90s, Y2K, dark eyeshadow, black boots, white background with geometric shapes sparkles, expressive emotion, different perspectives" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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README.md
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- lora
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- replicate
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base_model: "black-forest-labs/FLUX.1-dev"
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thumbnail: "https://huggingface.co/davisbro/flux-multi-angle/resolve/main/multi-angle-examples/5.webp"
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pipeline_tag: text-to-image
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instance_prompt: TOK
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widget:
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- lora
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- replicate
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base_model: "black-forest-labs/FLUX.1-dev"
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pipeline_tag: text-to-image
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instance_prompt: TOK
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widget:
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