Agent skill

Flux Txt2img

Build Flux txt2img workflows with Flux.1 Dev (SRPO), Flux 2 Klein 9B, Turbo LoRAs, FluxGuidance, and DualCLIPLoader patterns

MITAuto-check passedAI & LLM Engineering

Install Flux Txt2img

skills CLI

$ npx skills add artokun/comfyui-mcp --skill flux-txt2img -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install artokun/comfyui-mcp flux-txt2img --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/artokun/comfyui-mcp.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugin/skills/flux-txt2img .claude/skills/flux-txt2img && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "flux-txt2img" agent skill from https://github.com/artokun/comfyui-mcp/tree/main/plugin/skills/flux-txt2img into .claude/skills/flux-txt2img/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "flux-txt2img", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/artokun/comfyui-mcp/tree/main/plugin/skills/flux-txt2img

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add artokun/comfyui-mcp --skill flux-txt2img -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install artokun/comfyui-mcp flux-txt2img --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/artokun/comfyui-mcp.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugin/skills/flux-txt2img .agents/skills/flux-txt2img && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "flux-txt2img" agent skill from https://github.com/artokun/comfyui-mcp/tree/main/plugin/skills/flux-txt2img into .agents/skills/flux-txt2img/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "flux-txt2img", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add artokun/comfyui-mcp --skill flux-txt2img -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install artokun/comfyui-mcp flux-txt2img --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/artokun/comfyui-mcp.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugin/skills/flux-txt2img .cursor/skills/flux-txt2img && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "flux-txt2img" agent skill from https://github.com/artokun/comfyui-mcp/tree/main/plugin/skills/flux-txt2img into .cursor/skills/flux-txt2img/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "flux-txt2img", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/artokun/comfyui-mcp.git --path plugin/skills/flux-txt2img

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add artokun/comfyui-mcp --skill flux-txt2img -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install artokun/comfyui-mcp flux-txt2img --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/artokun/comfyui-mcp.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugin/skills/flux-txt2img .gemini/skills/flux-txt2img && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "flux-txt2img" agent skill from https://github.com/artokun/comfyui-mcp/tree/main/plugin/skills/flux-txt2img into .gemini/skills/flux-txt2img/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "flux-txt2img", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install artokun/comfyui-mcp flux-txt2img

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add artokun/comfyui-mcp --skill flux-txt2img -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/artokun/comfyui-mcp.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugin/skills/flux-txt2img .github/skills/flux-txt2img && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "flux-txt2img" agent skill from https://github.com/artokun/comfyui-mcp/tree/main/plugin/skills/flux-txt2img into .github/skills/flux-txt2img/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "flux-txt2img", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add artokun/comfyui-mcp --skill flux-txt2img -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install artokun/comfyui-mcp flux-txt2img --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/artokun/comfyui-mcp.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugin/skills/flux-txt2img .opencode/skills/flux-txt2img && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "flux-txt2img" agent skill from https://github.com/artokun/comfyui-mcp/tree/main/plugin/skills/flux-txt2img into .opencode/skills/flux-txt2img/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "flux-txt2img", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: flux-txt2img
GitHub stars: 803
Token cost: ~3k tokens
SKILL.md length: 910 words
Files: 1
Skills in repo: 42
Repo updated: Oct 5, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Build Flux txt2img workflows with Flux.1 Dev (SRPO), Flux 2 Klein 9B, Turbo LoRAs, FluxGuidance, and DualCLIPLoader patterns

Works in 3 steps: Flux.1 Dev SRPO. Fine-tuned Flux.1 Dev… → Flux 2 Klein 9B. Distilled Flux 2… → Flux 2 Turbo LoRA. Applied to Flux.1 Dev…
Tasks that involve Diffusion and image models
SKILL.md covers Overview, Models, Conditioning and Sampler Settings, plus 9 more sections
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Flux Txt2img is an agent skill from artokun/comfyui-mcp. Build Flux txt2img workflows with Flux.1 Dev (SRPO), Flux 2 Klein 9B, Turbo LoRAs, FluxGuidance, and DualCLIPLoader patterns

Its SKILL.md is about 3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in AI & LLM Engineering, covering Diffusion and image models and Fine-tuning. It works with Qwen. The repository describes itself as: Local-first, agent-native control plane for ComfyUI — MCP server + sidebar agent that generates images, video & audio, authors and runs workflows, and edits your live graph in… The licence is MIT.

When your agent uses it

Tasks that involve Diffusion and image models
Tasks that involve Fine-tuning

Example prompts

“/flux-txt2img”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

Flux.1 Dev SRPO. Fine-tuned Flux.1 Dev with SRPO alignment. Uses DualCLIPLoader (T5XXL + CLIP-L). BF16 only.
Flux 2 Klein 9B. Distilled Flux 2 variant. Uses single CLIPLoader (Qwen3-8B) + flux2-vae.safetensors. Fast 4-step generation.
Flux 2 Turbo LoRA. Applied to Flux.1 Dev for 4-step generation.

What it can do on your machine

Read from SKILL.md and the folder at commit 6ad6fc0. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are json).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Flux Txt2img loads about 3k tokens when it runs. Until then it costs about 34 tokens; SKILL.md has 910 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~34
When it runs · the whole SKILL.md, loaded when a task matches: ~3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from artokun/comfyui-mcp at commit 6ad6fc0, republished under its MIT licence (© artokun). 910 words, ~3,035 tokens.

Download SKILL.mdSave it as .claude/skills/flux-txt2img/SKILL.md (or your agent's skills folder).

name: flux-txt2img
description: Build Flux txt2img workflows with Flux.1 Dev (SRPO), Flux 2 Klein 9B, Turbo LoRAs, FluxGuidance, and DualCLIPLoader patterns
globs: **/*.json

Flux Text-to-Image Workflows

Overview

Flux is a guidance-distilled diffusion model family from Black Forest Labs. It uses a separate FluxGuidance node instead of KSampler CFG (which must always be 1.0). Three variants are available locally:

Flux.1 Dev SRPO. Fine-tuned Flux.1 Dev with SRPO alignment. Uses DualCLIPLoader (T5XXL + CLIP-L). BF16 only.
Flux 2 Klein 9B. Distilled Flux 2 variant. Uses single CLIPLoader (Qwen3-8B) + flux2-vae.safetensors. Fast 4-step generation.
Flux 2 Turbo LoRA. Applied to Flux.1 Dev for 4-step generation.

Models

Flux.1 Dev SRPO

Component	Node	Model	Notes
UNET	`UNETLoader`	`flux.1-dev-SRPO-BFL-bf16.safetensors`	22.7GB, BF16 only — FP8 produces broken results
CLIP	`DualCLIPLoader` (type=`flux`)	`clip_name1`: `t5xxl_fp8_e4m3fn.safetensors`, `clip_name2`: `clip_l.safetensors`	T5XXL (4.7GB) + CLIP-L (235MB)
VAE	`VAELoader`	`ae.safetensors`	Standard Flux VAE (320MB). Z-Image uses the same VAE architecture but different weights — its VAE is a separate file (`z-image-ae.safetensors`), not this one

Flux 2 Klein 9B

Component	Node	Model	Notes
UNET	`UNETLoader`	`bigLove_klein1.safetensors`	17.3GB, Klein 9B variant
CLIP	`CLIPLoader` (type=`flux2`)	`qwen_3_8b_fp8mixed.safetensors`	Qwen3-8B in text_encoders/ (8.3GB). Use `flux2`, NOT `flux` — both exist in the enum and `flux` fails at the sampler
VAE	`VAELoader`	`flux2-vae.safetensors`	Flux 2 specific VAE (321MB)

Klein 9B vs Flux.1 Dev: Klein uses the Qwen3-8B text encoder (not T5XXL + CLIP-L). It has a different VAE (flux2-vae.safetensors). 9B distilled runs in 4 steps; 9B base needs ~50 steps at CFG 5.0. Fits in ~20GB VRAM with FP8.

Flux 2 Turbo LoRA (applied to Flux.1 Dev)

Component	Node	Model	Notes
LoRA	`LoraLoaderModelOnly`	`flux2-turbo-lora.safetensors`	2.6GB, strength 1.0
Alt LoRA	`LoraLoaderModelOnly`	`Flux2TurboComfyv2.safetensors`	Community variant, same size

Conditioning

CLIPTextEncodeFlux (Recommended for Flux.1 Dev)

Provides separate prompt fields for each text encoder:

json

{
  "class_type": "CLIPTextEncodeFlux",
  "inputs": {
    "clip": ["<dual_clip>", 0],
    "clip_l": "short prompt for CLIP-L",
    "t5xxl": "detailed description for T5XXL",
    "guidance": 3.5
  }
}

clip_l captures key semantic features. t5xxl expands and refines descriptions. For simple use, put the same prompt in both fields. Guidance is built into this node, so no separate FluxGuidance is needed.

FluxGuidance (Alternative)

If using standard CLIPTextEncode instead of CLIPTextEncodeFlux, apply guidance separately:

json

{
  "class_type": "FluxGuidance",
  "inputs": {
    "conditioning": ["<clip_text_encode>", 0],
    "guidance": 3.5
  }
}

Guidance Values

Scenario	Guidance	Notes
Short prompts	3.5–4.0	Tighter prompt adherence
Long/complex prompts	1.0–1.5	More creative freedom
Realism	2.5	Less glossy skin, richer detail
Standard	3.5	Default for most use cases

Negative Conditioning

Flux does not support traditional negative prompts (guidance-distilled, CFG=1.0). Use ConditioningZeroOut:

json

{
  "class_type": "ConditioningZeroOut",
  "inputs": { "conditioning": ["<positive_cond>", 0] }
}

Or use an empty CLIPTextEncode for the negative input.

Sampler Settings

Flux.1 Dev SRPO

Parameter	Standard	Notes
steps	20	Range: 20–28
cfg	1.0	Always 1.0 — guidance is via FluxGuidance
sampler_name	ipndm	Author-recommended for SRPO
scheduler	beta	Author-recommended for SRPO
guidance	3.5	Via CLIPTextEncodeFlux or FluxGuidance
denoise	1.0

The SRPO author recommends the ipndm/beta combo. Standard Flux settings (euler/simple) also work, but ipndm/beta gives better results with this fine-tune.

Flux 2 Klein 9B (Distilled)

Parameter	Value	Notes
steps	4	Distilled model, 4 steps is optimal
cfg	1.0	Always 1.0
sampler_name	euler
scheduler	simple
denoise	1.0

Flux 2 Klein 9B (Base/Undistilled)

Parameter	Value	Notes
steps	50	Full quality
cfg	5.0	Higher CFG for base model
sampler_name	euler
scheduler	simple

Flux.1 Dev + Turbo LoRA

Parameter	Value	Notes
steps	4	Turbo-distilled
cfg	1.0
sampler_name	euler
scheduler	simple
lora_strength	1.0

Resolutions

Aspect	Resolution	Megapixels
Square	1024x1024	1.0MP
Portrait 3:4	896x1152	1.0MP
Landscape 4:3	1152x896	1.0MP
Landscape 16:9	1344x768	1.0MP
Portrait 9:16	768x1344	1.0MP

Flux operates at ~1 megapixel natively. Dimensions should be multiples of 8.

Prompt Style

Natural language descriptions. No quality tags needed (unlike SDXL/Illustrious). Detailed, descriptive prompts work best.

Good: "A young woman with auburn hair sits at a sunlit cafe in Paris, wearing a cream linen blazer, soft bokeh background, shot on Sony A7III 85mm f/1.4"
Bad: "masterpiece, best quality, 1girl, cafe, paris"

Complete Workflow: Flux.1 Dev SRPO

json

{
  "1": { "class_type": "UNETLoader", "inputs": { "unet_name": "flux.1-dev-SRPO-BFL-bf16.safetensors", "weight_dtype": "default" }},
  "2": { "class_type": "DualCLIPLoader", "inputs": { "clip_name1": "t5xxl_fp8_e4m3fn.safetensors", "clip_name2": "clip_l.safetensors", "type": "flux" }},
  "3": { "class_type": "VAELoader", "inputs": { "vae_name": "ae.safetensors" }},
  "4": { "class_type": "CLIPTextEncodeFlux", "inputs": {
    "clip": ["2", 0],
    "clip_l": "<short prompt>",
    "t5xxl": "<detailed prompt>",
    "guidance": 3.5
  }},
  "5": { "class_type": "ConditioningZeroOut", "inputs": { "conditioning": ["4", 0] }},
  "6": { "class_type": "EmptyLatentImage", "inputs": { "width": 896, "height": 1152, "batch_size": 1 }},
  "7": { "class_type": "KSampler", "inputs": {
    "model": ["1", 0],
    "positive": ["4", 0],
    "negative": ["5", 0],
    "latent_image": ["6", 0],
    "seed": 42, "steps": 20, "cfg": 1, "sampler_name": "ipndm", "scheduler": "beta", "denoise": 1
  }},
  "8": { "class_type": "VAEDecode", "inputs": { "samples": ["7", 0], "vae": ["3", 0] }},
  "9": { "class_type": "SaveImage", "inputs": { "images": ["8", 0], "filename_prefix": "flux_srpo" }}
}

Show full SKILL.md (370 more words)Show less

Complete Workflow: Flux 2 Klein 9B (Distilled, 4-Step)

json

{
  "1": { "class_type": "UNETLoader", "inputs": { "unet_name": "bigLove_klein1.safetensors", "weight_dtype": "default" }},
  "2": { "class_type": "CLIPLoader", "inputs": { "clip_name": "qwen_3_8b_fp8mixed.safetensors", "type": "flux2" }},
  "3": { "class_type": "VAELoader", "inputs": { "vae_name": "flux2-vae.safetensors" }},
  "4": { "class_type": "CLIPTextEncode", "inputs": { "clip": ["2", 0], "text": "<prompt>" }},
  "5": { "class_type": "ConditioningZeroOut", "inputs": { "conditioning": ["4", 0] }},
  "6": { "class_type": "EmptyFlux2LatentImage", "inputs": { "width": 1024, "height": 1024, "batch_size": 1 }},
  "7": { "class_type": "KSampler", "inputs": {
    "model": ["1", 0],
    "positive": ["4", 0],
    "negative": ["5", 0],
    "latent_image": ["6", 0],
    "seed": 42, "steps": 4, "cfg": 1, "sampler_name": "euler", "scheduler": "simple", "denoise": 1
  }},
  "8": { "class_type": "VAEDecode", "inputs": { "samples": ["7", 0], "vae": ["3", 0] }},
  "9": { "class_type": "SaveImage", "inputs": { "images": ["8", 0], "filename_prefix": "flux_klein" }}
}

Klein uses a single CLIPLoader (not DualCLIPLoader) with type: "flux2" and the Qwen3-8B text encoder from text_encoders/. The CLIP loader path resolves from models/text_encoders/.

Flux-2-specific gotchas, all of which fail at the KSampler rather than the loader, so the error points at the wrong node:

type must be flux2, not flux. Both values exist in the CLIPLoader enum, so flux loads without complaint and then dies during sampling.
Use EmptyFlux2LatentImage, not EmptyLatentImage. Flux 2 uses a different latent channel count.
Klein 9B pairs with the Qwen3-8B encoder (qwen_3_8b* from Comfy-Org/vae-text-encorder-for-flux-klein-9b). The similarly-named qwen_3_4b ships in the klein-4b repo and is for the 4B model. Mismatching them raises mat1 and mat2 shapes cannot be multiplied (512x7680 and 12288x4096), where 7680 = 2560x3 (4B hidden size) and 12288 = 4096x3 (8B). It reads as a confusing CLIP error rather than a wrong-file error.

Complete Workflow: Flux.1 Dev + Turbo LoRA (4-Step)

json

{
  "1": { "class_type": "UNETLoader", "inputs": { "unet_name": "flux.1-dev-SRPO-BFL-bf16.safetensors", "weight_dtype": "default" }},
  "2": { "class_type": "LoraLoaderModelOnly", "inputs": { "model": ["1", 0], "lora_name": "flux2-turbo-lora.safetensors", "strength_model": 1.0 }},
  "3": { "class_type": "DualCLIPLoader", "inputs": { "clip_name1": "t5xxl_fp8_e4m3fn.safetensors", "clip_name2": "clip_l.safetensors", "type": "flux" }},
  "4": { "class_type": "VAELoader", "inputs": { "vae_name": "ae.safetensors" }},
  "5": { "class_type": "CLIPTextEncodeFlux", "inputs": {
    "clip": ["3", 0],
    "clip_l": "<short prompt>",
    "t5xxl": "<detailed prompt>",
    "guidance": 3.5
  }},
  "6": { "class_type": "ConditioningZeroOut", "inputs": { "conditioning": ["5", 0] }},
  "7": { "class_type": "EmptyLatentImage", "inputs": { "width": 1024, "height": 1024, "batch_size": 1 }},
  "8": { "class_type": "KSampler", "inputs": {
    "model": ["2", 0],
    "positive": ["5", 0],
    "negative": ["6", 0],
    "latent_image": ["7", 0],
    "seed": 42, "steps": 4, "cfg": 1, "sampler_name": "euler", "scheduler": "simple", "denoise": 1
  }},
  "9": { "class_type": "VAEDecode", "inputs": { "samples": ["8", 0], "vae": ["4", 0] }},
  "10": { "class_type": "SaveImage", "inputs": { "images": ["9", 0], "filename_prefix": "flux_turbo" }}
}

LoRA Support

Custom LoRAs (jellyfish, etc.)

Apply Flux LoRAs with LoraLoaderModelOnly between UNET and KSampler:

json

{
  "class_type": "LoraLoaderModelOnly",
  "inputs": {
    "model": ["<unet_or_previous_lora>", 0],
    "lora_name": "<lora_file>.safetensors",
    "strength_model": 1.0
  }
}

Klein LoRAs

Klein 9B LoRAs go in the loras/Flux.2 Klein 9B/ subfolder:

klein_slider_detail.safetensors, a detail slider LoRA

VRAM Considerations

Model	VRAM	Notes
SRPO BF16 + DualCLIP	~24GB	Fills RTX 4090 exactly. Must use BF16 — FP8 is broken for SRPO
Klein 9B FP8 + Qwen3-8B	~20GB	Fits comfortably on 4090
SRPO + Turbo LoRA	~24GB	Same as SRPO base

Always clear_vram before switching to Flux from another model family
T5XXL is the main VRAM consumer alongside the UNET; both stay loaded during sampling
CLIP-L is small (235MB) and negligible

Tips

KSampler CFG must always be 1.0. All guidance is through CLIPTextEncodeFlux or FluxGuidance
SRPO requires BF16. The FP8 quantization is known to produce broken results with this fine-tune
For short prompts (1 to 2 sentences), increase guidance to 3.5 to 4.0. For long prompts (paragraph), decrease to 1.0 to 1.5
Flux generates excellent text in images. Put text to render in quotes within your prompt
Klein 9B is the fastest option at 4 steps. Use it for rapid iteration, then switch to SRPO for final quality

Sources

Official: none found.
Empirical: sampler values, wiring, and prompt notes from working graphs in packs/ and observed renders; not a vendor prompting guide.

Files

Just SKILL.md in plugin/skills/flux-txt2img of artokun/comfyui-mcp.

Open the folder on GitHubat commit 6ad6fc0

Compare with similar skills

Flux Txt2img next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Flux Txt2img compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Flux Txt2img this skillartokun/comfyui-mcp	803	—	~3k	Automated safety check: Pass	MIT	6 days ago
Flux2 Lora TrainingAnastasiyaW/codex-claude-code-config	154	—	~4.5k	Automated safety check: Pass	MIT	yesterday
Diffusion EngineeringAnastasiyaW/codex-claude-code-config	154	—	~1.2k	Automated safety check: Pass	MIT	yesterday
Flux2 Klein PromptingAnastasiyaW/codex-claude-code-config	154	—	~2.8k	Automated safety check: Pass	MIT	yesterday
Train RlOpenPipe/ART	11k	—	~2.4k	Automated safety check: Pass	Apache-2.0	today
Train SftOpenPipe/ART	11k	—	~2.9k	Automated safety check: Pass	Apache-2.0	today

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Anima Base
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Civitai
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Comfyui Frontend Extensions
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Authoring ComfyUI v2 frontend extensions with @comfyorg/extension-api, covering defineNode/defineExtension/defineWidget, shell UI (sidebar tabs, commands, hotkeys), typed events, and handles.
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Works with

Qwen

Questions about Flux Txt2img

What does Flux Txt2img do?

Build Flux txt2img workflows with Flux.1 Dev (SRPO), Flux 2 Klein 9B, Turbo LoRAs, FluxGuidance, and DualCLIPLoader patterns. Flux Txt2img is an agent skill from artokun/comfyui-mcp.

When should I use Flux Txt2img?

Flux Txt2img fits situations like: tasks that involve Diffusion and image models; tasks that involve Fine-tuning.

How do I install Flux Txt2img in Claude Code?

Run `npx skills add artokun/comfyui-mcp --skill flux-txt2img -a claude-code`. Or copy the skill folder (plugin/skills/flux-txt2img in artokun/comfyui-mcp) into .claude/skills/flux-txt2img in your project. Claude Code loads it when a task matches its description.

How do I install Flux Txt2img in Codex?

Run `npx skills add artokun/comfyui-mcp --skill flux-txt2img -a codex`. Or copy the skill folder (plugin/skills/flux-txt2img in artokun/comfyui-mcp) into .agents/skills/flux-txt2img in your project. Codex loads it when a task matches its description.

Can I use Flux Txt2img in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add artokun/comfyui-mcp --skill flux-txt2img -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/flux-txt2img, .gemini/skills/flux-txt2img, .github/skills/flux-txt2img and .opencode/skills/flux-txt2img in your project.

What does Flux Txt2img need to run?

SKILL.md names no scripts, command-line tools or credentials: Flux Txt2img is instructions for the agent only.

Does Flux Txt2img access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Flux Txt2img safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Flux Txt2img use?

Flux Txt2img is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Flux Txt2img use?

About 3k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Flux Txt2img?

Skills that share tags, products or a category with Flux Txt2img: Flux2 Lora Training (AnastasiyaW/codex-claude-code-config, 154 stars), Diffusion Engineering (AnastasiyaW/codex-claude-code-config, 154 stars), Flux2 Klein Prompting (AnastasiyaW/codex-claude-code-config, 154 stars) and Train Rl (OpenPipe/ART, 11k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Flux Txt2img?

artokun (a GitHub user) maintains it in artokun/comfyui-mcp, which has 803 GitHub stars. The repository holds 42 skills in this directory. The repository was last updated on October 5, 2026.

Source: artokun/comfyui-mcp on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Flux Txt2img

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Flux Text-to-Image Workflows

Overview

Models

Flux.1 Dev SRPO

Flux 2 Klein 9B

Flux 2 Turbo LoRA (applied to Flux.1 Dev)

Conditioning

CLIPTextEncodeFlux (Recommended for Flux.1 Dev)

FluxGuidance (Alternative)

Guidance Values

Negative Conditioning

Sampler Settings

Flux.1 Dev SRPO

Flux 2 Klein 9B (Distilled)

Flux 2 Klein 9B (Base/Undistilled)

Flux.1 Dev + Turbo LoRA

Resolutions

Prompt Style

Complete Workflow: Flux.1 Dev SRPO

Complete Workflow: Flux 2 Klein 9B (Distilled, 4-Step)

Complete Workflow: Flux.1 Dev + Turbo LoRA (4-Step)

LoRA Support

Custom LoRAs (jellyfish, etc.)

Klein LoRAs

VRAM Considerations

Tips

Sources

Files

Compare with similar skills

Similar skills

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Related

Questions about Flux Txt2img