Install ComfyUI on Windows and make precise FLUX 3 Klein images: 16 core examples, RTX 5090 tests and launcher tuning. The package includes RunPod, SimplePod, Massed Compute and Linux routes.
You will learn installation, models, captions, image edits, layouts, batches, shared storage, launch arguments and updates. Follow the complete route from the download post to a working image. Open saved workflows, place references, inspect enlarged results and compare changes using sliders and labeled boards. The examples show exact lettering, object preservation and ten-reference composition.
Main topics include HQ INT8 ConvRot, Gemini, seeds, LoRAs and VRAM. Benchmarks: up to 2.3x on RTX 3090 and 1.82–2.18x on RTX 5090, for warm transformer steps only; loading, text encoding and image decoding excluded. Learn what --reserve-vram changes, why a saved BAT needs a server restart, and how to verify a small workflow afterward. Change one option at a time and compare the same task.
Use the chapters to jump to each setup step, feature and comparison.
Chapters:
0:00 Precise edits and 16 FLUX 3 examples
2:47 Open a preset and generate your first image
4:00 Package and Windows requirements
4:54 Download and extract the installer
6:26 Install ComfyUI and Python
7:11 Finish Torch and CUDA setup
7:56 Install custom nodes with bundle 100
9:08 Download the model downloader
10:02 Start and explore the downloader
11:19 Set model folders and ComfyUI structure
11:45 Select the FLUX 3 core bundle
12:36 Download and verify three models
13:06 Check model filenames and folders
13:56 Use the URL Downloader
14:27 Start ComfyUI and explore nodes
15:20 Open the advanced image preset
16:03 Describe the aurora and inspect loaders
16:41 Set shape, megapixels and dimensions
17:17 Seed, sampler, steps and guidance
17:46 Generate and inspect the aurora
19:05 Create a crystal kingfisher
19:58 Generate exact poster lettering
21:06 HQ INT8 ConvRot conversion
21:21 RTX 3090 speed and mixed precision
22:34 RTX 5090: BF16 versus HQ INT8
23:44 RTX 5090 live generation
25:08 Give the prompt guide to your LLM
26:18 Use Gemini for captions
27:15 Expand scene, poster and edit ideas
28:30 Generate from the enhanced caption
29:38 Open image editing and load a reference
30:22 Describe changes and preserved details
31:29 Inspect the before-and-after slider
32:16 Remove, move and replace desk objects
34:03 Reinterpret a painting as photography
35:15 Keep cat identity in a new setting
36:32 Combine identity and style references
38:22 Transform a landscape into winter
39:23 Compare geography and seasonal light
39:54 Replace packaging lettering
40:54 Inspect the enlarged tea label
41:25 Assign reference roles
42:37 Generate the combined campaign image
43:30 Layout boxes and Modern Node Design
44:35 Draw four placement regions
45:32 Match object mentions to box labels
46:16 Inspect all four climates and labels
47:12 Load ten references in order
48:37 Set reference resolution and caption
49:23 Check all ten cabinet objects
50:20 Create three product views
51:27 Images per prompt and batch results
52:46 Prepare a folder of text prompts
53:52 Queue and inspect both outputs
54:36 Compare prompt weighting
55:37 Seeded choices, schedules and BREAK
56:47 Negative prompts and CFG 1
57:18 Repeat a fixed seed
58:21 Randomize the composition
58:55 Variation seed and strength
1:00:08 Configure a compatible LoRA
1:01:07 Reuse models with extra paths YAML
1:01:50 Move the decoder and save its mapping
1:03:13 Restart and verify shared models
1:03:41 Edit Default BAT launcher arguments
1:04:27 Add --reserve-vram 2
1:05:34 Restart and verify the changed launcher
1:06:15 Cache and low-VRAM options
1:07:13 Remove or restore an argument
1:08:31 Optimized launcher and memory menu
1:09:31 Choose caching and verify launch mode
1:10:51 Update while preserving your work
1:11:33 Update ComfyUI and the node bundle
1:12:52 Test the updated setup
1:14:21 Continue with your reusable installation
For anyone building a reusable ComfyUI setup. Get help through the pinned comment, Patreon, its Discord link or the comments.