Instructions to use kmax002/ideogram-4-fp8-merged with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kmax002/ideogram-4-fp8-merged with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kmax002/ideogram-4-fp8-merged", dtype=torch.bfloat16, device_map="cuda") 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
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Check out the documentation for more information.
ideogram-4-fp8-merged
NOTE: weights are now bf16, not fp8. Ideogram-4 with the twinks_10000 LoKr merged in at full bf16 precision (crisp, no fp8 requantization). Layout matches ideogram-ai/ideogram-4-fp8 (transformer/ + unconditional_transformer/), but each diffusion_pytorch_model.safetensors is bf16, single-shard, 458 tensors, no weight_scale. Text encoder / VAE / tokenizer / scheduler are the stock Ideogram-4 files. For AI Toolkit, set the Ideogram model name_or_path to this repo.
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