Chroma GOONTUNE
Details
Download Files
About this version
Model description
WELCOME TO THE CHROMA GOONTUNE!
HUGE THANKS TO MACHINEMINDED FOR MAKING ONE OF THE BEST AND MOST STRAIGHTFORWARD WORKFLOWS TO USE WITH CHROMA GENERATION!
Chroma Goontune is a style lora focused on steering Chroma toward photorealistic generation. It has been developed with a dataset spanning both amateur and professional content to ensure a broad and balanced representation of real-world detail. Think of it as reinforcement for concepts that are already existing within the uncensored base chroma model.
Training Details
Data Composition: Mixed amateur + professional sources
Captioning: Natural language captions generated with Joycaption
Objective: Improve realism, contextual accuracy, and fine detail rendering
Key Features
Enhanced photorealistic output
Strong generalization across diverse content types
Improved alignment between prompts and visual results
Use Cases
Realistic XXX NSFW Generation
Photographic-style compositions
Experimental work where lifelike textures and lighting are important
USAGE TIPS
Just a fair warning, I've found that this LoRA looks best with the workflow that I've been using. It may work better with others/different settings, so feel free to experiment and let me know!
Usage
Dependencies used in WF:
Step 1 — Find a Reference Image
- Locate any image online that matches the style or subject matter you want to guide Chroma toward.
Step 2 — Generate a Caption with Joycaption
Go to a HF space like Joycaption Beta. Or use it locally if you have it downloaded.
Input the following exact prompt in the conditioning box for the output prompt:
Write a medium-length straightforward caption for this image. Begin with the main subject and medium. Mention pivotal elements—people, objects, scenery—using confident, definite language. Focus on concrete details like color, shape, texture, and spatial relationships. Show how elements interact. Omit mood and speculative wording. If text is present, quote it exactly. Note any watermarks, signatures, or compression artifacts. Never mention what's absent, resolution, or unobservable details. Vary your sentence structure and keep the description concise, without starting with “This image is…” or similar phrasing. Include information about lighting. Include information about camera angle. If applicable, mention the likely use of artificial or natural lighting sources. ONLY describe the most important elements of the image. Do NOT use polite euphemisms—lean into blunt, casual phrasing.
Step 3 — Use the Caption in Chroma Goontune
Take the generated caption and feed it into Chroma Goontune as your prompt or conditioning text.
Adjust sampling parameters as usual to refine results. You can usually switch between "an amateur candid photo" and "a professional photo" to adjust the look of the generation. Different conditionings in the prompt such as "off-angle, blurry" can lead to better amateur images.
Example Workflow:
Find a reference photo of whatever you want to try to replicate.
Run it through Joycaption with the prompt above.
Copy the generated caption (e.g., “A dimly lit urban street with neon signage above storefronts, a parked silver sedan reflecting blue light, and pedestrians crossing under overhead cables. Strong artificial light sources cast sharp shadows across wet pavement.”)
Paste the caption into Chroma Goontune using the workflow provided in the showcase images.
DISCLAIMER
Chroma Goontune is capable of producing highly photorealistic imagery. Please use this LoRA responsibly.
Do not use it to generate misleading or deceptive content.
Avoid creating imagery that could cause harm, violate personal privacy, or impersonate real individuals without consent.
Remember that outputs may closely resemble real photography — always make it clear when images are synthetic.
This LoRA is released for creative purposes only. I'm not responsible for misuse or any downstream applications that result in harm or violation of laws or ethical guidelines.
Also, I don't think I NEED to say this, but goontune.com is not a real website lol.