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 Settings
- Draw Things
- DiffusionBee
Update README.md
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README.md
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photorealistic, realistic, realism, dslr
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parameters:
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negative_prompt: >-
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anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated
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hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly,
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disgusting, blurry, amputation
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output:
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url: images/
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base_model:
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instance_prompt:
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license: creativeml-openrail-m
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---
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# Jade (SD15) [LoRA]
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photorealistic, realistic, realism, dslr
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parameters:
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negative_prompt: >-
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N/A
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output:
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url: images/00131-40318051.png
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: redjade, blondejade
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license: creativeml-openrail-m
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---
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# Jade (SD15) [LoRA]
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