Instructions to use Turdusfitjulian5106/freelo-style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Turdusfitjulian5106/freelo-style 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Turdusfitjulian5106/freelo-style") prompt = "freelo_style" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
test
Browse files
0weg2oGoInkatHwm0bHCx_config (1).json
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{"images_data_url": "https://v3b.fal.media/files/b/0a994d8a/99Vn7tenUBnO4nC4I4KUm_1778190182963.zip", "trigger_word": "freelo_style", "disable_captions": false, "disable_segmentation_and_captioning": false, "learning_rate": 0.0005, "b_up_factor": 3.0, "create_masks": true, "iter_multiplier": 1.0, "steps": 1000, "is_style": true, "is_input_format_already_preprocessed": false, "data_archive_format": null, "resume_with_lora": null, "rank": 16, "debug_preprocessed_images": false, "instance_prompt": "freelo_style"}
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IZZCfDzV3zHDvpi2p5dZv_pytorch_lora_weights (1).safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a637fbfe19a7a89eccd08670821e04c678c4b064644b8d6342921260263108c2
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size 89745224
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