Instructions to use VHKE/mini-ceramic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use VHKE/mini-ceramic with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("VHKE/mini-ceramic") prompt = "mini ceramic" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from VHKE/mini-ceramic: direct link, hf CLI and curl.
- Browser
- Download file 781 Bytes
-
https://huggingface.co/VHKE/mini-ceramic/resolve/main/README.md
- Command line
-
hf download hf://VHKE/mini-ceramic/README.md
-
curl -L -o README.md https://huggingface.co/VHKE/mini-ceramic/resolve/main/README.md
781 Bytes
metadata
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- fluxgym
widget:
- output:
url: sample/mini-ceramic_007000_00_20250124093918.png
text: mini ceramic
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: mini ceramic
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
mini ceramic
A Flux LoRA trained on a local computer with Fluxgym

- Prompt
- mini ceramic
Trigger words
You should use mini ceramic to trigger the image generation.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, Forge, etc.
Weights for this model are available in Safetensors format.