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PirateDiffusion: run any model from Telegram, no GPU needed

Topik: Perkhidmatan awan
Oleh Captain
Diterbitkan 2026-10-03
The commands that matter in the PirateDiffusion Telegram bot: /render with model trigger words, (( )) and [[ ]] weighting, #recipes, /adetailer, /highdef and /facelift upscaling, /remix, /inpaint, ComfyUI workflows with /wf /run:, and the new // skills that pick the model for you.
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PirateDiffusion command cheat sheet

Gambaran keseluruhan

PirateDiffusion is a Telegram bot (and a companion web interface) that runs image and video models on a hosted cloud. Nothing is installed: you type a command into the chat, the picture or video comes back in the same chat a few seconds later, and every model in the ModelTrends.ai catalog that carries a Run box is one trigger word away. It is the simplest way to try a
checkpoint
or
LoRA
before downloading gigabytes of files, and it works the same on a phone as on a desktop.
There are three ways to create. /render is the manual, fully controlled command for
SD 1.5
and SDXL-family checkpoints, LoRAs and embeddings, with every parameter spelled out in the prompt. /workflow (short form /wf) runs hosted
ComfyUI
workflows, which is how the newer architectures are served:
Flux
,
Qwen
,
Wan
,
LTX
video, music and editing models. Skills, written as a double slash, sit on top of both: you describe what you want and a language model picks the workflow, expands the prompt and fills in the parameters for you.
This guide is a condensed, model-centred version of the official cheat sheet: the commands you need to run a model from this catalog, the syntax that changes results most, and the fixes for the errors people hit first. The cheat sheet linked above is the complete reference and is kept current by the PirateDiffusion team.

Rujukan

Nama
Jenis
Apakah ia
/render <trigger> prompt
command
Creates images with a checkpoint. The trigger word in angle brackets picks the model, for example <realvis4-xl>. LoRAs and embeddings use the same brackets, with an optional weight: <lora-name:0.8>.
/wf /run:name prompt
command
Runs a hosted ComfyUI workflow by name. The modern models (Flux, Qwen, Wan, LTX, music) are served this way. /workflow /show:name prints the workflow's own help text and image fields.
// prompt
skill
Lets the Skills system choose the best workflow and expand your prompt. /skill /list shows what exists; /skill /run:name runs one directly.
(( )) and [[ ]]
weighting
Round brackets emphasise, square brackets de-emphasise. Each nested pair is a 1.1x step. Never nest one kind inside the other.
#recipe
recipe
A community prompt template that adds quality tags, negatives,
sampler
and sometimes a model. #boost, #sdxlreal, #nfix and #everythingbad are popular. One recipe per prompt.
/concepts, /concept /search:word
lookup
Lists trigger words, searches models, and /concept /recent recalls what you tried. /concept /default:name sets your default checkpoint.
/size:WxH, /portrait, /landscape, /wide, /tall
size
Output size. SD 1.5 is trained at 512,
SDXL
at 1024; going far above a model's native size repeats heads and limbs.
/guidance:N, /steps:N, /seed:N, /images:N
sampling
CFG (about 7 for most checkpoints, 1.5 to 4 for LCM), step count (25 is average), a fixed seed for repeatable results, and how many images to make.
/sampler:name /karras
sampler
/samplers lists them. dpm2m with /karras is the usual recommendation; lcm trades quality for speed at very low steps.
/adetailer
detailer
Finds faces, eyes and hands after the render and redraws them. Works on SD 1.5 and SDXL.
/highdef, /facelift, /more
reply commands
Reply to an image: /highdef doubles the pixels, /facelift upscales 4x with optional /photo or /anime mode, /more makes variations and accepts /strength, /guidance and /size.
/remix, /inpaint, /outpaint, /bg
reply commands
Image-to-image with a new prompt and model, mask-and-repaint in the browser, canvas expansion, and background removal.
/showprompt, /describe, /download
reply commands
Shows how an image was made, writes a prompt for a non-AI photo, and fetches the uncompressed original instead of Telegram's compressed copy.
/vae:name, /nofix, /clipskip:2, /lpw, /parser:new
advanced
VAE override for washed-out colour, SDXL refiner off, clip skip, long-prompt mode, and per-token weights such as (blue cat:0.4).
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Tiada pemasangan diperlukan - jalankan model AI di awan
BitVector Prism ialah cara paling mudah untuk bermula: pilih model, taip prompt dan jana dalam aplikasi web yang bersih, tanpa apa-apa untuk dikonfigurasi. BitVector juga tersedia di Discord dan di web (SpyGlass).

Langkah demi langkah

  1. Open the PirateDiffusion bot in Telegram, type /start, and then /debug to confirm the account is activated. Activation is explained on the PirateDiffusion site.
  2. Find a model: type /concepts, or /concept /search:realistic, or open a model on ModelTrends.ai and read its trigger word from the Run box.
  3. Make a first image: /render a grey tabby cat in a garden <realvis4-xl> #boost. The echoed confirmation tells you how many images and how long.
  4. Tune the prompt: put the important words first, add (( )) around what matters and [[ ]] around what must not appear, and keep one recipe.
  5. Fix faces and hands: add /adetailer to the render, then reply to the best result with /highdef and afterwards /facelift.
  6. Run a modern model: /workflow /show:name to read the fields, then /wf /run:name your prompt. For image input, reply to the image or pass /image1:ID as the workflow describes.
  7. Let skills do the work: type // a warrior standing in the rain, or // edit, make her hair blonde while replying to a photo. Vote on results so the system learns your taste.
  8. Save your setup: /settings /save:my-anime-set stores model, sampler and steps as a loadout; /settings /load:my-anime-set brings it back.

Contoh

A balanced SDXL render

/render /size:1024x1024 /sampler:dpm2m /karras /guidance:7 /steps:30 <realvis4-xl> [[<fastnegative-xl:-2>]] ((high quality, masterpiece)) a portrait of a fisherman mending nets at dawn, harbour fog [[blurry, low resolution, deformed, extra fingers]] /adetailer

Fast LCM drafts

/render /sampler:lcm /guidance:1.5 /steps:6 /images:9 /size:1024x1024 <realvis2-xl> /nofix oil painting of a wizard in a desert, retro fantasy art

A hosted workflow with an input image

/workflow /show:edit-qwen
/wf /run:edit-qwen /initimage:Ixyz123 change the shirt to red

Skills

// a warrior standing in the rain, cinematic
// edit, make her hair blonde
/skill /run:anime-illustrious a shrine maiden under falling leaves

Reply commands

/highdef
/facelift /photo
/more /strength:0.5 /size:1536x1536
/remix a watercolor painting <sdxl>
/showprompt

Petua

  • One checkpoint per prompt. If you name two base models, the last one wins; one to three LoRAs on top is the sweet spot.
  • SD 1.5 and SDXL do not mix. The bot refuses to render a 1.5 LoRA on an SDXL checkpoint, which is a feature.
  • Negative embeddings go in double square brackets with a negative weight: [[<fastnegative-xl:-2>]]. They are the biggest single quality boost for SDXL renders.
  • Steps presets: /steps:wayless gives nine fast drafts, /steps:waymore gives two slow high-quality images. Draft cheap, finish expensive.
  • Telegram compresses images. Reply with /download for the original file, and add /format:png to a render when you need lossless output.
  • Use /translate to prompt in your own language; the bot detects it. Avoid slang.
  • /ping tells you whether the queue, the bot or Telegram is the problem. /start nudges a sleeping bot.
  • Skills accept a language model override; the default picks for you, but a skill's own template can name the LLM it wants.

Penyelesaian masalah

Nothing renders, no reply

Mengapa ia berlaku
The bot is asleep, the account is in free mode or Telegram is lagging.

Cara membaikinya
Type /ping, then /start. Type /debug and check the activation state; the PirateDiffusion support channel can activate an account from that number.

Model family mismatch warning

Mengapa ia berlaku
An SD 1.5 LoRA or embedding was combined with an SDXL checkpoint, or the other way round.

Cara membaikinya
Check the family of each trigger word with /concept /search:name and keep every concept in the prompt within one family.

Two heads, repeated bodies

Mengapa ia berlaku
The size is far above the model's training resolution: 512 for SD 1.5, 1024 for SDXL.

Cara membaikinya
Render near the native size, start the prompt with 1 woman or 1 man, and upscale afterwards with /highdef and /facelift.

Washed-out, foggy or purple-tinted colours

Mengapa ia berlaku
The checkpoint ships with a weak VAE, or guidance is above 10.

Cara membaikinya
Add /vae:GraydientPlatformAPI__bright-vae-xl (SDXL) or another preset VAE, and lower /guidance to about 7.

Workflow stops with a timeout

Mengapa ia berlaku
Hosted workflows have a three-minute limit; very large sizes, long videos or many frames exceed it.

Cara membaikinya
Lower resolution, frame count or steps and run again. The Workflow Watcher button shows where the time went.

Comfy node or prompt not found

Mengapa ia berlaku
A custom workflow has a node or model that is not mapped or not in Comfy Manager.

Cara membaikinya
Replace the node with a common equivalent, re-check the field and model mapping, and use direct Hugging Face download links for models.

Facelift never comes back

Mengapa ia berlaku
The image is already large; a 4x upscale exceeds memory or Telegram's file limit.

Cara membaikinya
Add /size:2000x2000 to /facelift, or fetch the result through /history and the web file manager.

The skill picked the wrong thing

Mengapa ia berlaku
The description was ambiguous, or an image-editing intent was not clear.

Cara membaikinya
Include the word edit for edits, start video requests with a video of, downvote the result, or run the skill you want directly with /skill /run:name.

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PirateDiffusion
Tiada pemasangan diperlukan - jalankan model AI di awan
PirateDiffusion hanya di Telegram dan dibina untuk profesional: beribu-ribu model, LoRA dan aliran kerja yang dipacu oleh arahan sembang, dengan penjanaan tanpa had pada pelan harga tetap.

Soalan

Do I need a GPU or any software?

No. Everything runs on the hosted cloud. Telegram on a phone is enough; the web companion opened with /webui adds file management and the
inpainting
canvas.

How do I run a model from this catalog?

The Run box on a model page carries the trigger word. Checkpoints, LoRAs and embeddings go in angle brackets inside /render; newer architectures run through a named workflow with /wf /run:name.

What is the difference between /render and /workflow?

/render drives SD 1.5 and SDXL-family checkpoints directly with every parameter in the prompt. /workflow runs a hosted ComfyUI graph, which is how Flux, Qwen, Wan, LTX and audio models are served. Skills choose between them for you.

Can I upload my own ComfyUI workflow?

Yes. Export the workflow and its API-format JSON from ComfyUI with dev mode on, upload both in the Workflows manager, map the fields (seed, guidance, size, sampler, steps, prompts) and the models, then run it with /wf /run:name.

Is my chat private?

A one-to-one chat with the bot is private by default. In public groups, /history and /skills /list only show your own items, but anything you render in a group is visible to that group.

Does it work with Discord?

Through
BitVector
, a separate team's Discord bot and web app that run on the same hosted models. See the BitVector guide on this site.

Pautan dan sumber

Model dalam panduan ini

Ditulis oleh
Captain

Panduan berkaitan

Aplikasi
BitVector: Vector for Discord, Spyglass on the web and Prism chat
How to run hosted models and ComfyUI workflows from Discord with the Vector bot, from any browser with Spyglass, and by chatting with Prism: account linking, /ai render and /ai workflow, initial media for image-to-image and image-to-video, skills, and the fixes for the errors people hit first.
Oleh Captain
2026-10-03
ComfyUI
ComfyUI nodes: documentation and troubleshooting
Plain-language documentation for the ComfyUI nodes people use most: what each node does, every input and output, how to wire it, the settings that matter, and the errors it throws with the fix for each one.
Oleh Captain
2026-06-02
Model
What is a LoRA and how to use one in ComfyUI, Forge, Automatic1111 and on the cloud
LoRAs explained for people who want results, not maths: what a LoRA file changes, why it must match the base model's family, trigger words, weights, stacking several LoRAs, the folder and syntax for each UI, and how to try a LoRA on the cloud before downloading anything.
Oleh Captain
2026-05-20
Ralat & penyelesaian
CUDA out of memory: how much VRAM each AI model needs and how to fit it
A VRAM table for SD 1.5, SDXL, Flux, FLUX.2, Qwen-Image, Z-Image, Wan 2.2 and HunyuanVideo, and the techniques that make a model fit: fp8 and GGUF quantisation, CPU offload, tiled VAE, resolution and frame limits, and when to stop fighting and run it hosted.
Oleh Captain
2026-05-18

Lagi panduan

Model
FLUX.1 Dev: how to prompt it, best settings and creative ideas
A practical guide to FLUX.1 Dev by Black Forest Labs: natural-language prompting, guidance and step settings, LoRA stacking, text rendering and prompt ideas that play to its strengths.
Oleh Captain
2026-09-30
Model
Stable Diffusion XL 1.0: prompts, settings and what it still does best
How to get the most out of the official SDXL 1.0 base model: native resolutions, CFG and sampler settings, the refiner, negative prompts and ideas for styles where SDXL still shines.
Oleh Captain
2026-10-01
Model
Stable Diffusion 1.5: the classic model, prompted properly
Stable Diffusion 1.5 is still worth knowing: the right resolution, CFG and sampler, how to use its huge library of LoRAs and embeddings, and creative prompt ideas suited to a 512-pixel model.
Oleh Captain
2026-10-02
Model
FLUX.2 Dev: prompting the newest Black Forest Labs model
FLUX.2 Dev brings larger prompts, better text, stronger realism and multi-reference editing. This guide covers the turbo workflow, guidance and resolution settings, prompt structure and ideas that use its new strengths.
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2026-10-03
Model
Qwen-Image: long prompts, perfect text and bilingual posters
Qwen-Image is the model to reach for when the words in the picture matter. Learn how to write its long descriptive prompts, render English and Chinese text accurately, set CFG and steps, and explore layout-heavy creative ideas.
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2026-09-29
Model
SDXL-Lightning: four-step generation on any SDXL checkpoint
ByteDance's SDXL-Lightning LoRA turns a 30-step SDXL render into a 4-step one. Learn the step counts, the CFG you must use, the sampler, and how to combine it with your favorite checkpoints and style LoRAs.
Oleh Captain
2026-09-30