Instructions to use e-n-v-y/EnvyHazeSliderXL01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use e-n-v-y/EnvyHazeSliderXL01 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("e-n-v-y/EnvyHazeSliderXL01") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Envy Haze/Clear Slider XL 01

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Model description
This is a slider LoRA that adjusts the haze level of an image. In general, you should give the LoRA a positive weight and put "haze" in your positive prompt to make things hazy, or in your negative prompt to make things clear.
Note that in the example images, <!haze!> on the chart means the word "haze" being put in the negative prompt. Do not add the punctuation around it.
Trigger words
You should use haze to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for e-n-v-y/EnvyHazeSliderXL01
Base model
stabilityai/stable-diffusion-xl-base-1.0