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fix: correct image name, switch to sd-1.5-ggml as default (#51)

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* fix: correct image name, switch to flux.1-dev-ggml as default

Signed-off-by: mudler <mudler@localai.io>

* standardize around sd-1.5-ggml since it's smaller

Signed-off-by: mudler <mudler@localai.io>

---------

Signed-off-by: mudler <mudler@localai.io>
This commit is contained in:
Ettore Di Giacinto
2025-04-17 19:52:10 +02:00
committed by GitHub
parent 4888dfcdca
commit 8ee5956bdb
4 changed files with 8 additions and 11 deletions
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8
README.md
View File

@@ -60,7 +60,7 @@ MODEL_NAME=gemma-3-12b-it docker compose up
# NVIDIA GPU setup with custom multimodal and image models
MODEL_NAME=gemma-3-12b-it \
MULTIMODAL_MODEL=minicpm-v-2_6 \
IMAGE_MODEL=flux.1-dev \
IMAGE_MODEL=flux.1-dev-ggml \
docker compose -f docker-compose.nvidia.yaml up
```
@@ -116,7 +116,7 @@ LocalAGI supports multiple hardware configurations through Docker Compose profil
- Default models:
- Text: `arcee-agent`
- Multimodal: `minicpm-v-2_6`
- Image: `flux.1-dev`
- Image: `sd-1.5-ggml`
- Environment variables:
- `MODEL_NAME`: Text model to use
- `MULTIMODAL_MODEL`: Multimodal model to use
@@ -150,7 +150,7 @@ MODEL_NAME=gemma-3-12b-it docker compose up
# NVIDIA GPU with custom models
MODEL_NAME=gemma-3-12b-it \
MULTIMODAL_MODEL=minicpm-v-2_6 \
IMAGE_MODEL=flux.1-dev \
IMAGE_MODEL=flux.1-dev-ggml \
docker compose -f docker-compose.nvidia.yaml up
# Intel GPU with custom models
@@ -163,7 +163,7 @@ docker compose -f docker-compose.intel.yaml up
If no models are specified, it will use the defaults:
- Text model: `arcee-agent`
- Multimodal model: `minicpm-v-2_6`
- Image model: `flux.1-dev` (NVIDIA) or `sd-1.5-ggml` (Intel)
- Image model: `sd-1.5-ggml`
Good (relatively small) models that have been tested are:

5
docker-compose.intel.yaml
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@@ -11,11 +11,6 @@ services:
# On a system with integrated GPU and an Arc 770, this is the Arc 770
- /dev/dri/card1
- /dev/dri/renderD129
command:
- ${MODEL_NAME:-arcee-agent}
- ${MULTIMODAL_MODEL:-minicpm-v-2_6}
- ${IMAGE_MODEL:-sd-1.5-ggml}
- granite-embedding-107m-multilingual
localrecall:
extends:

4
docker-compose.nvidia.yaml
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@@ -6,7 +6,9 @@ services:
environment:
- LOCALAI_SINGLE_ACTIVE_BACKEND=true
- DEBUG=true
image: localai/localai:master-sycl-f32-ffmpeg-core
image: localai/localai:master-cublas-cuda12-ffmpeg-core
# For images with python backends, use:
# image: localai/localai:master-cublas-cuda12-ffmpeg
deploy:
resources:
reservations:

2
docker-compose.yaml
View File

@@ -9,7 +9,7 @@ services:
command:
- ${MODEL_NAME:-arcee-agent}
- ${MULTIMODAL_MODEL:-minicpm-v-2_6}
- ${IMAGE_MODEL:-flux.1-dev}
- ${IMAGE_MODEL:-sd-1.5-ggml}
- granite-embedding-107m-multilingual
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:8080/readyz"]