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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license: other
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license_name: ideogram-4-non-commercial
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license_link: https://huggingface.co/ideogram-ai/ideogram-4-fp8/blob/main/LICENSE.md
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---
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Repackages of Fal's [Ideogram4-Fast](https://huggingface.co/fal/ideogram-v4-fast) and [Ideogram4-Instant](https://huggingface.co/fal/ideogram-v4-instant) to ComfyUI compatible files, with int8 and nvfp4 conversion done with [Silveroxides/convert_to_quant](https://github.com/silveroxides/convert_to_quant), targeting only attention and MLP tensors.
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license: other
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license_name: ideogram-4-non-commercial
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license_link: https://huggingface.co/ideogram-ai/ideogram-4-fp8/blob/main/LICENSE.md
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base_model_relation: quantized
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library_name: diffusers
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tags:
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- comfyui
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- safetensors
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base_model:
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- fal/ideogram-v4-fast
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- fal/ideogram-v4-instant
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---
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Repackages of Fal's [Ideogram4-Fast](https://huggingface.co/fal/ideogram-v4-fast) and [Ideogram4-Instant](https://huggingface.co/fal/ideogram-v4-instant) to ComfyUI compatible files, with int8 and nvfp4 conversion done with [Silveroxides/convert_to_quant](https://github.com/silveroxides/convert_to_quant), targeting only attention and MLP tensors.
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