YouTube · Ferdy Korpershoek
Nano BananaNano Banana tutorial for generating and refining images in Gemini
A good first pass for seeing prompt-led generation, follow-up edits, and multi-image combinations inside one workflow.
Text To Image
What is Text to Image?
Text-to-image generation starts from a text prompt and outputs a still image. Describe what you want — subject, scene, style, lighting — and the model renders it directly. On Epochal, you can switch between 10 image models without leaving the workspace, so comparing visual directions takes seconds instead of tabs.
Product photography
Studio product shot on clean background
Why use Text to Image here
01Featured
Switch models without rebuilding
Your prompt, aspect ratio, and settings carry over when you swap between Nano Banana, FLUX, Ideogram, or any other model — no copy-paste, no reloading.
02
Compare outputs side by side
All generation results stay in the same workspace history. See what each model produces from the same prompt before deciding which direction to take.
03
Move into editing without starting over
Once you have a result you like, move it into image-to-image editing from the same page — keeping the original as a reference throughout.
From YouTube
Text to Image YouTube Videos
Tutorials and model walkthroughs that are useful when you want to compare prompt-following, style range, and how different image models behave from scratch.
YouTube · Anthony Morganti
Nano BananaCreating images from scratch with Nano Banana
Useful when you want a cleaner text-to-image example focused on scene building rather than heavy post-editing.
YouTube · SECourses
FLUXFLUX full tutorial as an open text-to-image workflow
A practical reference for prompt adherence, local/open workflows, and how FLUX is used when people want strong text-led image generation.
YouTube · SECourses
Model RoundupWan, FLUX, and Qwen image model upgrade walkthrough
Helpful when you want one creator-side overview that compares several modern image models instead of watching isolated demos.
YouTube · AI Search
FLUX TutorialFLUX installation tutorial and benchmark-style walkthrough
A more reliable long-form reference for how one major open image model gets introduced, tested, and compared in practice.
From X
Text to Image on X
Shorter public references for launches, leaderboard movement, prompt structure, and the kinds of image results creators are actually sharing.
How to Use Text to Image
Pick a model, describe what you want, and preview the result in the same workspace.
- 1
Choose your starting model
Different models have different strengths — Nano Banana is fast and handles iterative edits well; FLUX.2 Pro handles fine detail; Ideogram V3 handles text in images. Start with what fits the task.
- 2
Write a specific prompt
Describe subject, environment, style, and lighting. The more specific the prompt, the less revision you'll need. Set the aspect ratio before generating.
- 3
Generate and review
Review the result against your prompt. If the subject is right but the style is off, adjust the style terms rather than rewriting everything. Small changes reveal the model's behavior faster.
- 4
Compare models or refine further
Run the same prompt on a different model to see if another direction works better. Or stay in one model and keep iterating. Both paths stay in the same workspace.
What You Can Do with Text to Image
Best used when the main job is to move from a written idea to a first visual result quickly, then refine from there.
- 01
Product photography direction
Generate early product shots for review before a studio shoot — test background, surface, and lighting choices without booking time or renting props.
- 02
First-pass concept visuals
Generate rough scene or character directions before deciding which to develop. Text-to-image is the right tool for breadth over polish at this stage.
- 03
Poster and graphic content
Create marketing graphics, event posters, and social media assets from a written brief. Models like Ideogram V3 can render legible type inside the image.
Text-to-image or image-to-image?
Both workflows live in the same workbench. Here is when to use each.
Use text-to-image when
- →You are starting from scratch with no existing visual
- →The goal is to explore multiple directions quickly
- →You want to compare what different models produce from the same prompt
- →You are at the generate-first, refine-later stage
Switch to image-to-image when
- →You already have a result you mostly like, but one element is off
- →You want to restyle an existing image, not replace it
- →You have a reference that the output needs to stay close to
- →Prompt-only changes are not landing the detail you need
FAQ
Common questions, answered.
01
What's the difference between text-to-image and image-to-image?
Text-to-image generates a new image from a prompt alone. Image-to-image takes an existing image as input and modifies it based on a prompt — useful when you want to change one element without rebuilding the whole scene.
02
Which model should I start with?
For general-purpose image generation, Nano Banana is fast and handles most prompt types well. For poster or graphic content with text, use Ideogram V3. For detailed photorealistic outputs, try FLUX.2 Pro.
03
How do I write a prompt that gives consistent results?
Be specific about subject, style, lighting, and framing. Vague prompts lead to inconsistent outputs. Set the aspect ratio in the controls, not in the prompt text. Avoid generic terms like "beautiful" or "amazing" — describe what you actually want.
04
Can I use the generated images commercially?
Commercial usage rights depend on the specific model's terms. Check the model provider's usage policy for the model you generated with. Epochal does not alter the underlying model's licensing terms.
05
What aspect ratios are supported?
Available aspect ratios depend on the model selected. Most image models on Epochal support common ratios including 1:1, 4:3, 3:4, 16:9, and 9:16. Some models support additional presets — check the controls for the active model.
06
What happens to results when I switch models?
Your prompt and settings are preserved when you switch models. Previously generated results stay in the workspace history so you can compare output from different models against the same prompt.
Models available for Text to Image
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