Tasks and inputs
drbaph/HiDream-O1-Image-Dev-2604-BF16 is listed for Image-text-to-image. It accepts image, text and produces image. Use the publisher’s input format and preprocessing for your chosen deployment.
SyncDev model directory · Profile updated Oct 7, 2026
Hugging Face repository for Image-text-to-image.
The specification score summarizes recorded features and limits. It is not a benchmark result.
Recorded modality support shows what this model can accept and produce. An undocumented modality is shown as unknown rather than assumed to be unsupported.
Accepts
Produces
drbaph/HiDream-O1-Image-Dev-2604-BF16 is a Hugging Face repository returned by the public Image-text-to-image task feed. Its recorded download count is 116 and it has 2 likes when the repository snapshot was collected. Popularity is useful for discovery, but it is not a performance ranking or a guarantee of suitability.
This record is categorized for Image-text-to-image. A task category describes the intended machine-learning problem; it does not prove that every version, checkpoint, quantization, or deployment method produces the same quality. Teams should read the model card and test representative inputs before choosing it.
The public repository lists diffusers as its library metadata. Its recorded tags include diffusers, safetensors, qwen3_vl, comfyui, text-to-image, image-editing, bf16, distilled. These source details are retained so readers can trace this directory entry back to the repository instead of relying on copied descriptions.
Keep prompts, resolution and generation settings comparable. Check composition, prompt adherence, legible text, consistency and failure rates. Record the exact checkpoint and any adapter used.
Explore drbaph models and the image-text-to-image collection. Use the comparison tool to inspect a second candidate.
Compare the model on the work you need to complete.
drbaph/HiDream-O1-Image-Dev-2604-BF16 is listed for Image-text-to-image. It accepts image, text and produces image. Use the publisher’s input format and preprocessing for your chosen deployment.
Choose the output size and quality your design needs. Include drafts and revisions when budgeting an accepted image.
Use the model identifier and account requirements for the selected API route. Confirm its request limits and output format with one complete task before connecting a larger workflow.
These records share a directory category. Check the source card, output type and deployment requirements before treating a model as a replacement.
Gemini Nano Banana 2.1 is Google's image-generation and conversational-editing model released. It accepts text, images, video and PDFs and returns images and text.
QuiverAI
QuiverAI’s Arrow 2 generates, vectorizes, edits and animates SVG artwork through a model-specific API.
QuiverAI
Arrow 2 Telos is QuiverAI’s SVG model for complex vector creation and refinement with longer context.
Qwen
Qwen Image 2.1 is a downloadable model that combines text-to-image generation, image editing and native transparent RGBA output.
OpenAI
GPT Image 2.5 Flare creates and edits images from text and image inputs through OpenAI’s image-generation APIs.
OpenAI
GPT Image 2.5 Sunburst creates and edits images from text and image inputs through OpenAI’s image-generation APIs.