Instructions to use lenML/DeepNegativeXL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lenML/DeepNegativeXL with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lenML/DeepNegativeXL", dtype=torch.bfloat16, device_map="cuda") prompt = "vampire bride,film photography aesthetic,the delicate texture of lace veil gently obscuring her face,long blonde hair,looking at viewer,eye eye contact,sapphire red eyes,choker,devil smile,dynamic composition,skin texture,from above,close-up,sharp focus,horror \\(theme\\),dutch angle," image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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tags:
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- text-to-image
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- stable-diffusion
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- lora
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- diffusers
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- template:sd-lora
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widget:
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vampire bride,film photography aesthetic,the delicate texture of lace veil
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Weights for this model are available in Safetensors format.
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[Download](/lenML/DeepNegativeXL/tree/main) them in the Files & versions tab.
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tags:
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- text-to-image
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- stable-diffusion
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- diffusers
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- template:sd-lora
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- negative embedding
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- embedding
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widget:
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- text: >-
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vampire bride,film photography aesthetic,the delicate texture of lace veil
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Weights for this model are available in Safetensors format.
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[Download](/lenML/DeepNegativeXL/tree/main) them in the Files & versions tab.
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