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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
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@@ -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: