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Let's talk about how to share your AI art in ways that actually help you improve, and how to give feedback that's useful.
When sharing your work:
Context is everything. Don't just post an image with "thoughts?" Tell us:
Example good post: "Made in Midjourney v6, trying for vintage travel poster aesthetic. Struggled with text readability so added it in Photoshop after. Prompt: [full prompt]. Looking for feedback on composition and color balance."
Now we understand what you're going for and can give relevant feedback.
Prompt sharing etiquette:
If you're comfortable, share your prompts. Seeing what creates specific results teaches everyone faster than tutorials. You don't have to if it's client work or you have reasons not to, but the community learns best through transparency.
Format: "Prompt used: [your prompt] | Model: Midjourney v6 | Settings: --ar 16:9 --stylize 500"
Getting useful feedback:
Ask specific questions instead of general "what do you think?"
Vague: "Any feedback?" Specific: "Does the composition feel balanced? Is the subject's face too dark? Should I warm up the color tone?"
Specific questions get specific, actionable answers.
Giving good feedback:
Structure: Praise what works → Identify what could improve → Suggest specific solutions
Bad feedback: "Looks weird" Good feedback: "The composition is strong and the lighting mood works well. The subject's face feels underexposed compared to the background – try bumping up exposure just on the face in post, or regenerate with 'dramatic side lighting' instead of 'dark lighting.' The color palette is cohesive."
Be constructive, not harsh. Critique the work, not the person. Frame suggestions as options, not demands.
The iteration showcase:
Post your iteration process. Show version 1 → 2 → 3 → final. Explain what you changed and why. This teaches way more than just posting the final perfect image.
Example: "V1: Too dark. V2: Added 'golden hour lighting' to prompt, better but composition off. V3: Changed to 'close-up portrait' instead of 'portrait,' fixed framing. Final: Upscaled and color graded in Lightroom."
Learning from failures:
Share your weird failures. That generation where the subject grew three arms. The time text turned into random symbols. The morphing nightmare video. We learn from failures maybe more than successes – they show us what to avoid and how to troubleshoot.
Technical showcases:
Show your workflow or technique. Screen record your process. Share your custom LoRA results. Post your ComfyUI workflow. Document how you achieved a specific effect. The technical sharing helps everyone level up.
Style explorations:
Experimenting with new styles? Share the series. "Testing cyberpunk prompts – here are 10 variations using different lighting and color terms." Comparing approaches side-by-side teaches what works.
Commercial work:
Sharing client projects? Get permission first. If you can't share finals, share concepts or process. "Can't show final client work, but here's the style exploration phase that led to the chosen direction."
Copyright respect:
Only share work you created or have rights to share. If you trained a LoRA on someone's art or referenced specific artists heavily, acknowledge it. The AI art copyright situation is murky, but being transparent about your process is always right.
Building a portfolio:
This is your gallery. Consistent posting shows your progression. Look back at your work from 3 months ago – you'll see how much you've improved. That's motivating.
Organize into collections: "My fantasy character series" or "Product visualization project" or "Cyberpunk city exploration."
Engagement:
Don't just post and leave. Engage with others' work. Ask about their process. Compliment specifically ("love how you handled the rim lighting here"). Share techniques you've learned from their work.
Community grows when everyone participates, not just showcases.
Handling criticism:
Not all feedback will feel good. Separate useful critique from unhelpful negativity. If someone says "this lighting could be stronger," that's useful. If someone says "AI art isn't real art," that's a different conversation not worth having here.
Take what helps, ignore what doesn't.
Celebrating wins:
Got a great generation? Client loved your work? Finally nailed that technique you've been struggling with? Share it! Celebrating progress motivates everyone.
What to avoid:
Posting with no context. Asking for feedback then arguing with everyone who gives it. Sharing others' work without credit. Being harsh or dismissive in feedback. Making it about the AI art debate instead of the craft.
This space works best when everyone's trying to improve and help others improve. Share generously, critique constructively, celebrate achievements, learn from everything.
Looking forward to seeing what you create.
When sharing your work:
Context is everything. Don't just post an image with "thoughts?" Tell us:
- What tool you used (Midjourney? DALL-E? Stable Diffusion?)
- What you were trying to achieve ("going for moody cinematic look")
- What challenges you faced ("couldn't get the lighting right")
- Your experience level ("first week with these tools" vs "client project")
Example good post: "Made in Midjourney v6, trying for vintage travel poster aesthetic. Struggled with text readability so added it in Photoshop after. Prompt: [full prompt]. Looking for feedback on composition and color balance."
Now we understand what you're going for and can give relevant feedback.
Prompt sharing etiquette:
If you're comfortable, share your prompts. Seeing what creates specific results teaches everyone faster than tutorials. You don't have to if it's client work or you have reasons not to, but the community learns best through transparency.
Format: "Prompt used: [your prompt] | Model: Midjourney v6 | Settings: --ar 16:9 --stylize 500"
Getting useful feedback:
Ask specific questions instead of general "what do you think?"
Vague: "Any feedback?" Specific: "Does the composition feel balanced? Is the subject's face too dark? Should I warm up the color tone?"
Specific questions get specific, actionable answers.
Giving good feedback:
Structure: Praise what works → Identify what could improve → Suggest specific solutions
Bad feedback: "Looks weird" Good feedback: "The composition is strong and the lighting mood works well. The subject's face feels underexposed compared to the background – try bumping up exposure just on the face in post, or regenerate with 'dramatic side lighting' instead of 'dark lighting.' The color palette is cohesive."
Be constructive, not harsh. Critique the work, not the person. Frame suggestions as options, not demands.
The iteration showcase:
Post your iteration process. Show version 1 → 2 → 3 → final. Explain what you changed and why. This teaches way more than just posting the final perfect image.
Example: "V1: Too dark. V2: Added 'golden hour lighting' to prompt, better but composition off. V3: Changed to 'close-up portrait' instead of 'portrait,' fixed framing. Final: Upscaled and color graded in Lightroom."
Learning from failures:
Share your weird failures. That generation where the subject grew three arms. The time text turned into random symbols. The morphing nightmare video. We learn from failures maybe more than successes – they show us what to avoid and how to troubleshoot.
Technical showcases:
Show your workflow or technique. Screen record your process. Share your custom LoRA results. Post your ComfyUI workflow. Document how you achieved a specific effect. The technical sharing helps everyone level up.
Style explorations:
Experimenting with new styles? Share the series. "Testing cyberpunk prompts – here are 10 variations using different lighting and color terms." Comparing approaches side-by-side teaches what works.
Commercial work:
Sharing client projects? Get permission first. If you can't share finals, share concepts or process. "Can't show final client work, but here's the style exploration phase that led to the chosen direction."
Copyright respect:
Only share work you created or have rights to share. If you trained a LoRA on someone's art or referenced specific artists heavily, acknowledge it. The AI art copyright situation is murky, but being transparent about your process is always right.
Building a portfolio:
This is your gallery. Consistent posting shows your progression. Look back at your work from 3 months ago – you'll see how much you've improved. That's motivating.
Organize into collections: "My fantasy character series" or "Product visualization project" or "Cyberpunk city exploration."
Engagement:
Don't just post and leave. Engage with others' work. Ask about their process. Compliment specifically ("love how you handled the rim lighting here"). Share techniques you've learned from their work.
Community grows when everyone participates, not just showcases.
Handling criticism:
Not all feedback will feel good. Separate useful critique from unhelpful negativity. If someone says "this lighting could be stronger," that's useful. If someone says "AI art isn't real art," that's a different conversation not worth having here.
Take what helps, ignore what doesn't.
Celebrating wins:
Got a great generation? Client loved your work? Finally nailed that technique you've been struggling with? Share it! Celebrating progress motivates everyone.
What to avoid:
Posting with no context. Asking for feedback then arguing with everyone who gives it. Sharing others' work without credit. Being harsh or dismissive in feedback. Making it about the AI art debate instead of the craft.
This space works best when everyone's trying to improve and help others improve. Share generously, critique constructively, celebrate achievements, learn from everything.
Looking forward to seeing what you create.