molbal/ideogram-4-gguf
text-to-image model by molbal
From the publisher
Model card & documentation
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Quantized GGUF diffusion transformer weights for Ideogram 4, converted from the original FP8 release for use with ComfyUI GGUF loader nodes. This repository contains GGUF files for the two Ideogram 4 diffusion components: These files are not a complete standalone Ideogram 4 package. Your workflow still needs the other runtime assets expected by Ideogram 4 in ComfyUI, such as the text or multimodal encoder components and VAE. Use these models with the ComfyUI nodes from molbal/ComfyUI-GGUF. Install that custom node repository into your ComfyUI customnodes folder, then restart ComfyUI. Place the downloaded .gguf files in one of ComfyUI's diffusion model folders: Load the files with Unet Loader (GGUF) or Unet Loader (GGUF/Advanced) in an Ideogram 4 workflow that accepts separate main and unconditional diffusion models. Each quant level is published for both the main transformer and the unconditional transformer. The main and unconditional models do not need to use the…
Read the full model card ↗ · Preview checked 2026-09-21T06:53:39.893Z
Inside the original model card — Document outline
- Ideogram 4 GGUF
- ComfyUI Support
- Files
- Suggested Pairings
- Inference Measurements
- Peak Memory
- Relative Inference Speed
- Download
- Compatibility Notes
- License
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Model overview
molbal/ideogram-4-gguf is a text-to-image model repository published by molbal on Hugging Face. A library was not reported.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-to-image
- Library
- Not reported
- Recent downloads (30 days)
- 68,746
- Cumulative likes
- 10
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-06-12T17:10:42.000Z
- Last modified
- 2026-06-15T20:08:14.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: ideogram-ai/ideogram-4-fp8
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-21T06:36:49.979Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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