Instructions to use oyvsar/mlvn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use oyvsar/mlvn 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("oyvsar/mlvn") prompt = "MLVN" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Update README.md
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README.md
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https://replicate.com/ostris/flux-dev-lora-trainer/train
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## Trigger words
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You should use `MLVN` to trigger the image generation.
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https://replicate.com/ostris/flux-dev-lora-trainer/train
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# This is just a model to learn how training a model works, to see what possibilities I have. It is trained on different logos of a pub,
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# and also images inside and outside of the pub, as well as advertisement and SoMe-posters from the pub.
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## Trigger words
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You should use `MLVN` to trigger the image generation.
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