Model reference · open weights
LCM_Dreamshaper is an open-weight image model from SimianLuo, listed in the AxForge catalogue. AxForge can bring it up on EU-owned hardware for you on request — with the licence handled where one is required.
About
Latent Consistency Models Official Repository of the paper: Latent Consistency Models. Project Page: https://latent-consistency-models.github.io Try our Hugging Face demos: [](https://huggingface.co/spaces/SimianLuo/LatentConsistencyModel) Model Descriptions: Distilled from Dreamshaper v7 fine-tune of Stable-Diffusion v1-5 with only 4,000 training iterations (~32 A100 GPU Hours). Generation Results: By distilling classifier-free guidance into the model's input, LCM can generate high-quality images in very short inference time. We compare the inference time at the setting of 768 x 768 resolution, CFG scale w=8, batchsize=4, using a A800 GPU. Usage You can try out Latency Consistency Models directly on: [](https://huggingface.co/spaces/SimianLuo/LatentConsistencyModel) To run the model yourself, you can leverage the 🧨 Diffusers library: 1. Install the library: 2. Run the model: For more information, please have a look at the official docs: 👉 https://huggingface.co/docs/diffusers/api/pipelines/latentconsistencymodels#latent-consistency-models Usage (Deprecated) 1. Install the library: 2. Run the model: BibTeX
Summarised from the published model card. Read the full card on the HuggingFace links below.
Specifications
| Maker | SimianLuo |
|---|---|
| Type | Image models |
| Parameters (lead) | 860M |
| Variants | 1 |
| Runs with | diffusers |
| Released | 2023-10-14 |
| Popularity | 114k downloads / month |
| Likes | 416 |
| Licence | Open weights |
How it works
Variants
Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.
| Variant | Params | Precision | VRAM | Fits 16 GB | Weights |
|---|---|---|---|---|---|
| LCM_Dreamshaper_v7 | 860M | BF16 | ~2 GB | ✓ | Weights ↗ |
Using it via the API
Once AxForge deploys lcm-dreamshaper for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (lcm-dreamshaper below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/images/generations \
-H "Authorization: Bearer $AXFORGE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"lcm-dreamshaper","prompt":"a red bicycle","size":"1024x1024"}'
Licence
Open weights under mit — commercial use is permitted. Deploy it on AxForge EU hardware on request. Read the licence ↗