lchoquel · Oct 3, 2026 · Oct 3, 2026 · Oct 3, 2026
diff --git a/CHANGELOG.md b/CHANGELOG.md
@@ -1,5 +1,11 @@
 # Changelog
 
+## [v0.1.5] - 2026-10-03
+
+### Added
+
+- **`image_generation_fast`**: generates an image directly from a text description with the deck's small image generation model, `@default-small`, trading quality for speed and cost. Its entry pipe, `generate_image`, takes a `description` text and returns an `Image`, like `image_generation`'s pipe of the same name, so the two are interchangeable.
+
 ## [v0.1.4] - 2026-09-25
 
 ### Fixed

diff --git a/README.md b/README.md
@@ -13,6 +13,7 @@ This repository is the public library of packaged [MTHDS](https://mthds.ai) meth
 | [`table_extraction`](methods/table_extraction/) | Turn a screenshot of a table into faithful HTML, with a vision review pass to correct text and formatting | `extract_html_table_and_review` |
 | [`slide_designer`](methods/slide_designer/) | Turn a rough slide-deck brief into design proposals: multiple visual themes, a rendered mockup image for each, and an HTML report presenting them all | `generate_design_proposals_from_rough_brief` |
 | [`image_generation`](methods/image_generation/) | Generate images from text: render a description directly, or refine it into an optimized image prompt first | `illustrate` |
+| [`image_generation_fast`](methods/image_generation_fast/) | Generate an image quickly: render a description directly with a small, fast image generation model | `generate_image` |
 | [`tweet_optimizer`](methods/tweet_optimizer/) | Score a draft tech tweet for fluffiness, cringiness, humblebragging and vagueness, then rewrite it in your own writing style | `optimize_tweet_sequence` |
 | [`text_stats`](methods/text_stats/) | Deterministic text statistics computed by a sandboxed Python function (PipeFunc, no LLM): counts, vocabulary richness, most frequent words, and estimated reading and speaking times, as a Markdown report | `analyze_text` |
 

diff --git a/methods/cv_analyzer/METHODS.toml b/methods/cv_analyzer/METHODS.toml
@@ -2,7 +2,7 @@
 name = "cv_analyzer"
 display_name = "CV Analyzer"
 address = "github.com/Pipelex/methods"
-version = "0.1.4"
+version = "0.1.5"
 description = "End-to-end candidate screening: extract a CV and a job offer, analyze the match, then either generate tailored interview questions or draft a courteous refusal email."
 authors = ["Evotis S.A.S"]
 license = "MIT"

diff --git a/methods/doc_summarizer/METHODS.toml b/methods/doc_summarizer/METHODS.toml
@@ -2,7 +2,7 @@
 name = "doc_summarizer"
 display_name = "Document Summarizer"
 address = "github.com/Pipelex/methods"
-version = "0.1.4"
+version = "0.1.5"
 description = "Deep document summarization: profile the document and extract importance-ranked key points in parallel, then synthesize a structured summary with themes and open questions."
 authors = ["Evotis S.A.S"]
 license = "MIT"

diff --git a/methods/documents/METHODS.toml b/methods/documents/METHODS.toml
@@ -2,7 +2,7 @@
 name = "documents"
 display_name = "Documents"
 address = "github.com/Pipelex/methods"
-version = "0.1.4"
+version = "0.1.5"
 description = "Document extraction methods for text, images, and page views."
 authors = ["Evotis S.A.S"]
 license = "MIT"

diff --git a/methods/image_generation/METHODS.toml b/methods/image_generation/METHODS.toml
@@ -2,7 +2,7 @@
 name = "image_generation"
 display_name = "Image Generation"
 address = "github.com/Pipelex/methods"
-version = "0.1.4"
+version = "0.1.5"
 description = "Image generation methods: render a description directly, or refine it into an optimized image prompt first."
 authors = ["Evotis S.A.S"]
 license = "MIT"

diff --git a/methods/image_generation_fast/METHODS.toml b/methods/image_generation_fast/METHODS.toml
@@ -0,0 +1,13 @@
+[package]
+name = "image_generation_fast"
+display_name = "Image Generation Fast"
+address = "github.com/Pipelex/methods"
+version = "0.1.5"
+description = "Fast image generation: render a text description directly with a small image generation model."
+authors = ["Evotis S.A.S"]
+license = "MIT"
+mthds_version = ">=1.0.0"
+main_pipe = "generate_image"
+
+[exports.image_generation_fast]
+pipes = ["generate_image"]
diff --git a/methods/image_generation_fast/image_generation_fast.mthds b/methods/image_generation_fast/image_generation_fast.mthds
@@ -0,0 +1,10 @@
+domain      = "image_generation_fast"
+description = "Generating images quickly from a text description, with a small image generation model"
+
+[pipe.generate_image]
+type        = "PipeImgGen"
+description = "Generate an image directly from a text description, with a small and fast image generation model"
+inputs      = { description = "Text" }
+output      = "Image"
+prompt      = "$description"
+model       = "@default-small"
diff --git a/methods/image_generation_fast/inputs.json b/methods/image_generation_fast/inputs.json
@@ -0,0 +1,3 @@
+{
+  "description": "A lighthouse keeper's desk at dusk, cluttered with brass instruments, an open logbook, and a mug of tea, warm lamplight against a stormy sea outside the window"
+}
diff --git a/methods/invoice_extraction/METHODS.toml b/methods/invoice_extraction/METHODS.toml
@@ -2,7 +2,7 @@
 name = "invoice_extraction"
 display_name = "Invoice Extraction"
 address = "github.com/Pipelex/methods"
-version = "0.1.4"
+version = "0.1.5"
 description = "Extract structured invoice data from a document: classify each page as bill or receipt, then extract amounts, VAT, vendor and buyer details using both the OCR text and the page view."
 authors = ["Evotis S.A.S"]
 license = "MIT"

diff --git a/methods/slide_designer/METHODS.toml b/methods/slide_designer/METHODS.toml
@@ -2,7 +2,7 @@
 name = "slide_designer"
 display_name = "Slide Designer"
 address = "github.com/Pipelex/methods"
-version = "0.1.4"
+version = "0.1.5"
 description = "Turn a rough slide-deck brief into design proposals: polish the brief, generate multiple visual themes, render a mockup image for each, and compose an HTML report presenting them all."
 authors = ["Evotis S.A.S"]
 license = "MIT"

diff --git a/methods/table_extraction/METHODS.toml b/methods/table_extraction/METHODS.toml
@@ -2,7 +2,7 @@
 name = "table_extraction"
 display_name = "Table Extraction"
 address = "github.com/Pipelex/methods"
-version = "0.1.4"
+version = "0.1.5"
 description = "Extract a data table from a screenshot into faithful HTML, then review the result against the image to correct text and formatting."
 authors = ["Evotis S.A.S"]
 license = "MIT"

diff --git a/methods/text_stats/METHODS.toml b/methods/text_stats/METHODS.toml
@@ -2,7 +2,7 @@
 name = "text_stats"
 display_name = "Text Stats"
 address = "github.com/Pipelex/methods"
-version = "0.1.4"
+version = "0.1.5"
 description = "Deterministic text statistics computed in pure Python: character, word, sentence and paragraph counts, vocabulary richness, most frequent words, and estimated reading and speaking times, reported as Markdown."
 authors = ["Evotis S.A.S"]
 license = "MIT"

diff --git a/methods/tweet_optimizer/METHODS.toml b/methods/tweet_optimizer/METHODS.toml
@@ -2,7 +2,7 @@
 name = "tweet_optimizer"
 display_name = "Tweet Optimizer"
 address = "github.com/Pipelex/methods"
-version = "0.1.4"
+version = "0.1.5"
 description = "Optimize a tech tweet: score the draft for fluffiness, cringiness, humblebragging and vagueness, then rewrite it in your own writing style following Twitter/X best practices."
 authors = ["Evotis S.A.S"]
 license = "MIT"