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", 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
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README.md
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@@ -15,5 +15,5 @@ Reported gen speed on a 5090 at 1536x1536:
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- int8: 1.7 it/s
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- nvfp4: 1.9 it/s
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Note that Fast has QAD (Quantization Aware Distillation)
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Fal's readme of Instant says it doesn't have QAD but
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- int8: 1.7 it/s
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- nvfp4: 1.9 it/s
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Note that Fast has QAD (Quantization Aware Distillation) so nvfp4 can be better than its larger variants, especially on long texts.
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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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