Instructions to use furaidosu/casivaras-qwen-image-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use furaidosu/casivaras-qwen-image-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("furaidosu/casivaras-qwen-image-lora") prompt = "a concert poster with a teal background, bold jagged text at the top reads “Los Perros Muertos”, the artwork features five large illustrated dogs with tan fur and black snouts, arranged in a group portrait, with star-like shapes and diagonal white beams around them, event info at the bottom says “English Masteers · Morel Cur Moblpiet · Elliidos”, signed “Beboneerangs”" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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output:
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url: images/raros.jpg
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---
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# alergico-qwen-image-lora
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output:
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url: images/raros.jpg
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- text: >-
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a blonde 55 year old ugly woman with long hair, thin face, large thin nose. She is cooking a cake with dollar bills over it. bold text reads "La Pastelera"
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output:
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url: images/la-pastelera-2.png
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- text: >-
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a concert poster with a pink background, a crazy middle age fat man with messy hair and sidebums, bold black text reads “Motochorros de La Rosada”
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output:
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url: images/motochorros-rosada.png
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---
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# alergico-qwen-image-lora
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