Instructions to use EntscheiderMedien/flux_Marco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EntscheiderMedien/flux_Marco 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("EntscheiderMedien/flux_Marco") prompt = "faktorKI" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add generated example
#1
by EntscheiderMedien - opened
- README.md +6 -6
- images/example_u32nb1nvl.png +0 -0
README.md
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- diffusers
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- lora
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- replicate
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base_model:
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pipeline_tag: text-to-image
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# widget:
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# - text: >-
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# prompt
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# output:
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# url: https://...
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instance_prompt: faktorKI
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---
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# Flux_Marco
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- diffusers
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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: faktorKI
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widget:
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- text: create a picture of me in New York, where you can see my face
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output:
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url: images/example_u32nb1nvl.png
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---
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# Flux_Marco
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images/example_u32nb1nvl.png
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