Instructions to use Metadatasystem/Chatbot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Metadatasystem/Chatbot 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-2.1-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Metadatasystem/Chatbot") prompt = "Keras" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 673 Bytes
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tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/received_2527690337640925.jpeg
text: Keras
parameters:
negative_prompt: Negatif
base_model: Qwen/Qwen-Image-2.1-Turbo
instance_prompt: '#'
license: afl-3.0
---
# Assistent AI Iblis
<Gallery />
## Model description

## Trigger words
You should use `#` to trigger the image generation.
## Download model
[Download](/Metadatasystem/Chatbot/tree/main) them in the Files & versions tab.
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