Instructions to use lucataco/flux-queso with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lucataco/flux-queso 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("lucataco/flux-queso") prompt = "a portrait photo of TOK" 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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- 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:
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widget:
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a portrait photo of TOK
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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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- text: >-
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a portrait photo of TOK
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