Instructions to use gz8iz/Volker_Wissing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gz8iz/Volker_Wissing 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("gz8iz/Volker_Wissing") prompt = "vwi bre in front of a green background, composition vivid, symmetry, stunning, highly detailed, professional, cinematic, saturated colors, intricate, elegant, incredible quality, light, crisp, extremely sharp detail, burning, beautiful, confident, epic, creative, positive, pure, attractive, artistic, loving, caring, cute, coherent, focused, best, full, pretty" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit ·
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- README.md +45 -0
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README.md
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---
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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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- text: >-
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vwi bre in front of a green background, composition vivid, symmetry,
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stunning, highly detailed, professional, cinematic, saturated colors,
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intricate, elegant, incredible quality, light, crisp, extremely sharp
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detail, burning, beautiful, confident, epic, creative, positive, pure,
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attractive, artistic, loving, caring, cute, coherent, focused, best, full,
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pretty
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parameters:
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negative_prompt: >-
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unrealistic, saturated, high contrast, big nose, painting, drawing,
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sketch, cartoon, anime, manga, render, CG, 3d, watermark, signature, label
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output:
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url: images/2024-02-09_16-03-14_6881.png
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base_model: stabilityai/stable-diffusion-xl-base-1.0
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instance_prompt: vwi, bre
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---
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# Volker Wissing
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<Gallery />
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## Model description
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just a LORA of Volker Wissing
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## Trigger words
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You should use `vwi` to trigger the image generation.
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You should use `bre` to trigger the image generation.
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## Download model
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Weights for this model are available in Safetensors format.
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[Download](/gz8iz/Volker_Wissing/tree/main) them in the Files & versions tab.
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