Instructions to use Ffgsd/321 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Ffgsd/321 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("Ffgsd/321") prompt = "123" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
321

- Prompt
- 123
- Negative Prompt
- 321
Model description
234
Trigger words
You should use 234 to trigger the image generation.
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Base model
zai-org/GLM-Image