Instructions to use SameeraBharadwaja/MyLoRAModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SameeraBharadwaja/MyLoRAModel with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("zai-org/GLM-Image", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("SameeraBharadwaja/MyLoRAModel") prompt = "Summarize" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/g.jpg
text: Summarize
base_model: zai-org/GLM-Image
instance_prompt: Summarize
license: apache-2.0
LoRaTrialModel

- Prompt
- Summarize
Trigger words
You should use Summarize to trigger the image generation.
Download model
Download them in the Files & versions tab.
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