Instructions to use XaflocAI/jade with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use XaflocAI/jade 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("XaflocAI/jade") prompt = "blonde haired woman, (blue jeans:1.3) and (bra:1.2) and (leather jacket:1.2), long hair, small boobs, (full body:1.5), elegant pose, (detailed skin texture:1.5), background (new york city at night:1.3), hazel eyes, intricate details, hyperdetailed, cinematic, dark shot, muted colors, film grainy, soothing tones, muted colors, technicolor, kodak 400 camera, photorealistic, realistic, realism, dslr" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Upload 3 files
Browse filesFLUX LoRA - Each version is a different mix of blondejade and redjade models.
jade_flux_lora_v1.safetensors
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oid sha256:009eafcfdee78c7e5eedeae730159fc9d7dcf944e59df5239bc42535d0a01d43
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jade_flux_lora_v2.safetensors
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oid sha256:5ffab0eb9a0e3d81e47d2304bd569f023c71cc757a98ce5a83caba21bcde7587
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jade_flux_lora_v3.safetensors
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oid sha256:a22e05dabfa40ab168291196c9f0500faf5a48a1e1afcb28008c1a0ae76bf1c9
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size 153268096
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