Instructions to use ostris/ideogram_4_turbotime_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ostris/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("ostris/ideogram_4_turbotime_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
- DiffusionBee
Overtraining
#3
by DodoPapa - opened
The model is overtrained, all the images I get are too overcooked. If you are making the next release, please take this into account.
The model is overtrained, all the images I get are too overcooked. If you are making the next release, please take this into account.
Did you try lowering the lora weight?
Did you try lowering the lora weight?
Of course and it's pointless.