PC for ComfyUI, Flux & Stable Diffusion: The Perfect Setup for AI Creators (2026)
Generative AI imaging is no longer a niche
Three years after Stable Diffusion 1.5 launched, the open-source generative AI ecosystem has gone massive: Flux.1 from Black Forest Labs rivals Midjourney on photorealism, ComfyUI has emerged as the pro interface (visual workflows, total control), and AI video generation (Wan, Hunyuan, Mochi) opens a new frontier.
For photographers, designers, video editors, ad agencies and tech creators across Canada, running these models locally has become a competitive advantage: no $240/year Midjourney subscription, total prompt control, client data that never leaves the studio.
What remains is choosing the right machine. That's what we cover here.
What actually matters for local AI creation
1. VRAM, always
Image and video models are VRAM-hungry:
| Model | Comfortable minimum VRAM |
|---|---|
| Stable Diffusion 1.5 | 6 GB |
| Stable Diffusion XL (SDXL) | 8 GB |
| Flux.1 [dev] | 12 GB (16 GB recommended) |
| Flux.1 [pro] / Flux Schnell | 16 GB |
| Wan 2.1 (video) | 16 GB minimum |
| Hunyuan Video | 24 GB |
| ComfyUI with multiple LoRAs + ControlNet | +2-4 GB per module |
2026 sweet spot: 16 GB. Below that, you'll quickly hit limits on advanced ComfyUI workflows.
2. Compute speed (CUDA / Tensor cores)
An RTX 5060 Ti 16 GB generates an SDXL 1024x1024 image in ~3.5 seconds. An RTX 5080 does two in 2 seconds. For iterative work (50-100 images/day), the difference is worth the price.
3. System RAM and storage
- Minimum RAM: 32 GB (Flux + ComfyUI + Photoshop open simultaneously)
- Recommended: 64 GB DDR5
- Storage: NVMe Gen4 1 TB minimum. Models are 6-23 GB each, LoRAs add up fast.
4. CPU and power supply
Don't underestimate this: ComfyUI loads/unloads models between workflow steps, the CPU bottlenecks if too weak. Minimum Ryzen 7 or Core Ultra 7. PSU 850W 80+ Gold for RTX 5070/5080, 1000W for 5090.
Recommended configurations
"AI Creator Discovery" — ~$1,800-2,500 CAD
GPU: RTX 5060 Ti 16 GB GDDR7 (Asus Dual or Prime) — ~$860
CPU: Ryzen 7 9700X or Core Ultra 7 265
RAM: 32 GB DDR5-6000
Storage: NVMe Gen4 1 TB
PSU: 750W 80+ Gold
Performance:
- SDXL 1024x1024, 25 steps: ~4-5 seconds
- Flux.1 [dev] 1024x1024, 25 steps: ~30 seconds
- Wan 2.1 video 5s 480p: ~3-5 minutes
Ideal for: solo photographer, freelance designer, content creator, Stable Diffusion testing.
"Creative Studio" — ~$3,500-5,000 CAD
GPU: RTX 5070 12 GB or RTX 5080 16 GB (recommended)
CPU: Ryzen 9 9950X or Core Ultra 9 285K
RAM: 64 GB DDR5-6000
Storage: NVMe Gen4 2 TB + secondary 2 TB
PSU: 1000W 80+ Gold
Performance with RTX 5080:
- SDXL: ~2 seconds/image
- Flux.1 [dev]: ~12-15 seconds/image
- ComfyUI with batch of 4: ~8 seconds
- Wan 2.1 5s 720p: ~2 minutes
Ideal for: ad agencies, motion design studios, high-volume wedding photographers, professional content creators.
"Pro AI Video" — ~$6,500-9,000 CAD
GPU: NVIDIA RTX PRO 5000 48 GB GDDR7
CPU: AMD Threadripper PRO 7965WX 24-core
RAM: 128 GB DDR5 ECC
Storage: NVMe Gen5 2 TB + NVMe Gen4 RAID 4+ TB
PSU: 1200W 80+ Platinum
With 48 GB VRAM, you load full-res Hunyuan Video, Wan 2.1 1080p, and can batch multiple jobs in parallel. For studios doing AI video post-production, this is the right investment.
NVIDIA vs AMD for AI creation?
NVIDIA remains unbeatable in 2026 for the AI creation ecosystem. Nearly all popular models (ComfyUI, Automatic1111, Forge, Fooocus, Flux, Wan) are CUDA-optimized first. AMD ROCm is improving but remains 30-40% slower on Stable Diffusion and unstable on advanced ComfyUI.
That said, AMD RX 9070 XT 16 GB (~$1,400) is a valid alternative if:
- You're already on Linux + ROCm
- You mostly do classic SDXL (not Flux or video)
- You value price/performance for gaming on the side
Otherwise, stick with NVIDIA for professional AI creation.
Pitfalls to avoid
Don't buy RTX 5060 8 GB for AI creation. You'll be blocked at Flux. The 16 GB version is non-negotiable.
Don't undersize the PSU. An RTX 5080 on a 650W PSU will destabilize the system under sustained load.
Don't skimp on cooling. An AI video generation session runs the GPU at 95% for 30 minutes. Case with good airflow or watercooling for 5080/5090 builds.
Don't forget storage. A pro ComfyUI workflow quickly accumulates 500 GB-1 TB of models + LoRAs + ControlNets + outputs.
Concretely in Canada
PcHybrid keeps in stock locally (CAD, GST/QST, Canadian OEM warranty):
- GPUs RTX 5060 Ti 16 GB, 5070 12 GB, 5080 16 GB (multiple ASUS brands)
- AMD Radeon RX 9070 XT 16 GB for ROCm workflows
- NVIDIA RTX PRO 5000 48 GB for pro AI video
- All the peripherals: DDR5 RAM, NVMe, cases, PSUs
See the collection: AI Creator Stations
Conclusion
For 80% of Canadian AI creators, the RTX 5060 Ti 16 GB or RTX 5080 16 GB is the right choice in 2026. If you do serious AI video or heavy batch work, step up to the RTX PRO 5000 48 GB. Avoid GPUs under 16 GB VRAM — it's a false bargain that will cost you an upgrade in 6 months.
Configurations tested and validated by our technical team. Tokens/s and images/s benchmarks are averages observed on our test systems, May 2026.
Add a comment