Instructions to use ThatDustyGuy/QwenImage-PersonalLoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ThatDustyGuy/QwenImage-PersonalLoRA 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("ThatDustyGuy/QwenImage-PersonalLoRA") prompt = "A realistic photo of dlay man on a rocky overlook, gazing out at a sprawling forest and a winding blue river under a clear sky. Bright, direct sunlight of a summer afternoon." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K
- dlay_qwen_lokr_v1
- dlay_qwen_lora_v1
- logs
- samples
- step1000
- step1250
- step1500
- step1750
- step2000
- step2250
- step2500
- step2750
- step3000
- step3250
- step3500
- step3750
- step4000
- step4250
- step4500
- step4750
- step5000
- step5250
- step5500
- step750
- 8.26 kB
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- 2.55 GB xet
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- 2.14 kB
- 2.72 kB
- 2.36 GB xet
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- 2.37 GB xet
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- 1.35 kB xet
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- 7.7 MB
- 18.9 GB xet