Instructions to use Hippotes/Ideogram4-Fal-ComfyUI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Hippotes/Ideogram4-Fal-ComfyUI with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Hippotes/Ideogram4-Fal-ComfyUI", torch_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
Repackages of Fal's Ideogram4-Fast and Ideogram4-Instant to ComfyUI compatible files, with int8 and nvfp4 conversion done with Silveroxides/convert_to_quant, targeting only attention and MLP tensors.
Officially recommended parameters:
- for Fast: 20 steps, CFG 1
- for Instant: 8 steps, CFG 1
Reported gen speed on a 5090 at 1536x1536:
- bf16: 0.85 it/s
- int8: 1.7 it/s
- nvfp4: 1.9 it/s
Note that Fast has QAD (Quantization Aware Distillation) so nvfp4 can be better than its larger variants, especially on long texts. Fal's readme of Instant says it doesn't have QAD but nvfp4 is just as good as the larger ones too.
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