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Fix image model cards

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This commit is contained in:
ciaranbor
2026-01-06 11:00:01 +00:00
parent 859960608b
commit a2f52e04e3
1 changed files with 18 additions and 14 deletions
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src/exo/shared/models/model_cards.py
+18 -14
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@@ -605,7 +605,7 @@ MODEL_CARDS: dict[str, ModelCard] = {
model_id=ModelId("black-forest-labs/FLUX.1-schnell"),
name="FLUX.1 [schnell]",
description="""FLUX.1 [schnell] is a 12 billion parameter rectified flow transformer capable of generating images from text descriptions""",
tasks=[ModelTask.TextToImage],
tasks=[ModelTask.TextToImage, ModelTask.ImageToImage],
tags=[],
metadata=ModelMetadata(
model_id=ModelId("black-forest-labs/FLUX.1-schnell"),
@@ -618,7 +618,7 @@ MODEL_CARDS: dict[str, ModelCard] = {
ComponentInfo(
component_name="text_encoder",
component_path="text_encoder/",
storage_size=Memory.from_kb(0), # TODO: ?
storage_size=Memory.from_kb(0),
n_layers=12,
can_shard=False,
safetensors_index_filename=None, # Single file
@@ -642,8 +642,8 @@ MODEL_CARDS: dict[str, ModelCard] = {
ComponentInfo(
component_name="vae",
component_path="vae/",
storage_size=Memory.from_kb(0), # TODO: ?
n_layers=None, # TODO: ?
storage_size=Memory.from_kb(0),
n_layers=None,
can_shard=False,
safetensors_index_filename=None,
),
@@ -652,7 +652,7 @@ MODEL_CARDS: dict[str, ModelCard] = {
),
"flux1-dev": ModelCard(
short_id="flux1-dev",
model_id="black-forest-labs/FLUX.1-dev",
model_id=ModelId("black-forest-labs/FLUX.1-dev"),
name="FLUX.1 [dev]",
description="""FLUX.1 [dev] is a 12 billion parameter rectified flow transformer capable of generating images from text descriptions""",
tasks=[ModelTask.TextToImage, ModelTask.ImageToImage],
@@ -660,13 +660,15 @@ MODEL_CARDS: dict[str, ModelCard] = {
metadata=ModelMetadata(
model_id=ModelId("black-forest-labs/FLUX.1-dev"),
pretty_name="FLUX.1 [dev]",
storage_size=Memory.from_bytes(23782357120), # + 9524621312),
hidden_size=0,
supports_tensor=False,
storage_size=Memory.from_bytes(23782357120 + 9524621312),
n_layers=57, # sharded layers
components=[
ComponentInfo(
component_name="text_encoder",
component_path="text_encoder/",
storage_size=Memory.from_kb(0), # TODO: ?
storage_size=Memory.from_kb(0),
n_layers=12,
can_shard=False,
safetensors_index_filename=None, # Single file
@@ -690,8 +692,8 @@ MODEL_CARDS: dict[str, ModelCard] = {
ComponentInfo(
component_name="vae",
component_path="vae/",
storage_size=Memory.from_kb(0), # TODO: ?
n_layers=None, # TODO: ?
storage_size=Memory.from_kb(0),
n_layers=None,
can_shard=False,
safetensors_index_filename=None,
),
@@ -700,7 +702,7 @@ MODEL_CARDS: dict[str, ModelCard] = {
),
"qwen-image": ModelCard(
short_id="qwen-image",
model_id="Qwen/Qwen-Image",
model_id=ModelId("Qwen/Qwen-Image"),
name="Qwen Image",
description="""an image generation foundation model in the Qwen series that achieves significant advances in complex text rendering and precise image editing""",
tasks=[ModelTask.TextToImage, ModelTask.ImageToImage],
@@ -708,13 +710,15 @@ MODEL_CARDS: dict[str, ModelCard] = {
metadata=ModelMetadata(
model_id=ModelId("Qwen/Qwen-Image"),
pretty_name="Qwen Image",
storage_size=Memory.from_bytes(237823571),
hidden_size=0,
supports_tensor=False,
storage_size=Memory.from_bytes(16584333312 + 40860802176),
n_layers=60, # Qwen has 60 transformer blocks (all joint-style)
components=[
ComponentInfo(
component_name="text_encoder",
component_path="text_encoder/",
storage_size=Memory.from_kb(16584333312), # TODO: ?
storage_size=Memory.from_kb(16584333312),
n_layers=12,
can_shard=False,
safetensors_index_filename=None, # Single file
@@ -730,8 +734,8 @@ MODEL_CARDS: dict[str, ModelCard] = {
ComponentInfo(
component_name="vae",
component_path="vae/",
storage_size=Memory.from_kb(0), # TODO: ?
n_layers=None, # TODO: ?
storage_size=Memory.from_kb(0),
n_layers=None,
can_shard=False,
safetensors_index_filename=None,
),