Instructions to use quarterturn/ideogram4-bbwhot-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use quarterturn/ideogram4-bbwhot-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("ideogram-ai/ideogram-4-fp8", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("quarterturn/ideogram4-bbwhot-lora") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
| tags: | |
| - lora | |
| - diffusers | |
| - ideogram4 | |
| - bf8 | |
| base_model: ideogram-ai/ideogram-4-fp8 | |
| license: cc-by-nc-4.0 | |
| An Ideogram 4 fp8 LoRA for making BBWs (big beautiful women). | |
|  | |
| There's probably a number of things wrong with it, it's my first Ideogram 4 LoRA. But it does appear to work. | |
| Trained using ai-toolkit on 147 images for 2000 steps. The ComfyUI workflow is in the .png image. |