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
- Draw Things
- DiffusionBee
Upload folder using huggingface_hub
Browse files- README.md +33 -0
- dataset.toml +14 -0
- mini-ceramic-000004.safetensors +3 -0
- mini-ceramic-000008.safetensors +3 -0
- mini-ceramic-000012.safetensors +3 -0
- mini-ceramic.safetensors +3 -0
- sample/mini-ceramic_000500_00_20250124075317.png +0 -0
- sample/mini-ceramic_001000_00_20250124080126.png +0 -0
- sample/mini-ceramic_001500_00_20250124080935.png +0 -0
- sample/mini-ceramic_002000_00_20250124081744.png +0 -0
- sample/mini-ceramic_002500_00_20250124082555.png +0 -0
- sample/mini-ceramic_003000_00_20250124083407.png +0 -0
- sample/mini-ceramic_003500_00_20250124084215.png +0 -0
- sample/mini-ceramic_004000_00_20250124085025.png +0 -0
- sample/mini-ceramic_004500_00_20250124085835.png +0 -0
- sample/mini-ceramic_005000_00_20250124090647.png +0 -0
- sample/mini-ceramic_005500_00_20250124091457.png +0 -0
- sample/mini-ceramic_006000_00_20250124092303.png +0 -0
- sample/mini-ceramic_006500_00_20250124093112.png +0 -0
- sample/mini-ceramic_007000_00_20250124093918.png +0 -0
- sample_prompts.txt +1 -0
- train.sh +34 -0
README.md
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---
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tags:
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- text-to-image
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- flux
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- lora
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- diffusers
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- template:sd-lora
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- fluxgym
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widget:
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- output:
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url: sample/mini-ceramic_007000_00_20250124093918.png
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text: mini ceramic
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: mini ceramic
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license: other
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license_name: flux-1-dev-non-commercial-license
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license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
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---
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# mini ceramic
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A Flux LoRA trained on a local computer with [Fluxgym](https://github.com/cocktailpeanut/fluxgym)
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<Gallery />
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## Trigger words
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You should use `mini ceramic ` to trigger the image generation.
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## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, Forge, etc.
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Weights for this model are available in Safetensors format.
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dataset.toml
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[general]
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shuffle_caption = false
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caption_extension = '.txt'
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keep_tokens = 1
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[[datasets]]
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resolution = 512
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batch_size = 1
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keep_tokens = 1
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[[datasets.subsets]]
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image_dir = '/app/fluxgym/datasets/mini-ceramic'
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class_tokens = 'mini ceramic '
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num_repeats = 10
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mini-ceramic-000004.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:01527395d0eb2e521bd3a1a5d8d45fd0cdd477ef5aedd151d7a43c568835431c
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size 39769552
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mini-ceramic-000008.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:0526d770e4c14718959d6eb02b79f1fdf0dfae318d55c13adbfedc010de76f0a
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size 39769552
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mini-ceramic-000012.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:305d448e51b6308385e4b80600f06f0a41b60d81ea8b3eb9aa208c9708498864
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size 39769552
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mini-ceramic.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:624c84f72aead547a2b26a03e7d297b029cba37c8542f92e84fc9480ea46e3bf
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size 39769552
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sample/mini-ceramic_000500_00_20250124075317.png
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sample/mini-ceramic_001000_00_20250124080126.png
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sample/mini-ceramic_001500_00_20250124080935.png
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sample/mini-ceramic_002000_00_20250124081744.png
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sample/mini-ceramic_002500_00_20250124082555.png
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sample/mini-ceramic_003000_00_20250124083407.png
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sample/mini-ceramic_003500_00_20250124084215.png
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sample/mini-ceramic_004000_00_20250124085025.png
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sample/mini-ceramic_004500_00_20250124085835.png
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sample/mini-ceramic_005000_00_20250124090647.png
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sample/mini-ceramic_005500_00_20250124091457.png
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sample/mini-ceramic_006000_00_20250124092303.png
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sample/mini-ceramic_006500_00_20250124093112.png
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sample/mini-ceramic_007000_00_20250124093918.png
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sample_prompts.txt
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mini ceramic
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train.sh
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accelerate launch \
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--mixed_precision bf16 \
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--num_cpu_threads_per_process 1 \
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sd-scripts/flux_train_network.py \
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--pretrained_model_name_or_path "/app/fluxgym/models/unet/flux1-dev.sft" \
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--clip_l "/app/fluxgym/models/clip/clip_l.safetensors" \
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--t5xxl "/app/fluxgym/models/clip/t5xxl_fp16.safetensors" \
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--ae "/app/fluxgym/models/vae/ae.sft" \
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--cache_latents_to_disk \
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--save_model_as safetensors \
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--sdpa --persistent_data_loader_workers \
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--max_data_loader_n_workers 2 \
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--seed 42 \
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--gradient_checkpointing \
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--mixed_precision bf16 \
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--save_precision bf16 \
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--network_module networks.lora_flux \
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--network_dim 4 \
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--optimizer_type adamw8bit \--sample_prompts="/app/fluxgym/outputs/mini-ceramic/sample_prompts.txt" --sample_every_n_steps="500" \
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--learning_rate 8e-4 \
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--cache_text_encoder_outputs \
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--cache_text_encoder_outputs_to_disk \
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--fp8_base \
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--highvram \
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--max_train_epochs 16 \
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--save_every_n_epochs 4 \
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--dataset_config "/app/fluxgym/outputs/mini-ceramic/dataset.toml" \
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--output_dir "/app/fluxgym/outputs/mini-ceramic" \
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--output_name mini-ceramic \
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--timestep_sampling shift \
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--discrete_flow_shift 3.1582 \
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--model_prediction_type raw \
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--guidance_scale 1 \
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--loss_type l2 \
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