Instructions to use chfm/ideogram_4_turbotime_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use chfm/ideogram_4_turbotime_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("chfm/ideogram_4_turbotime_lora") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| license: other | |
| license_name: ideogram-4-non-commercial | |
| license_link: https://huggingface.co/ideogram-ai/ideogram-4-fp8/blob/main/LICENSE.md | |
| tags: | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| base_model: ideogram-ai/ideogram-4-fp8 | |
| # Ideogram 4 TurboTime LoRA | |
| This LoRA will turn Ideogram 4 into a few step model. It is capable of generating good quality images in as little as 2 steps with | |
| no CFG and no unconditional model. It was created with a continuious turbo training method I am working on and still perfecting. I will | |
| release more information on that once it is fully polished. This will likely recieve updated versions as the method improves. | |
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| Some samples using the default AI Toolkit prompts at 8 step | |
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