Instructions to use VHKE/IXAR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use VHKE/IXAR 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/IXAR") prompt = "3D PIXAR BEVER walking in a forest --d 45" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Upload folder using huggingface_hub
Browse files- 3d-pixar-bever-step00000001.safetensors +3 -0
- 3d-pixar-bever-step00000002.safetensors +3 -0
- 3d-pixar-bever-step00000003.safetensors +3 -0
- 3d-pixar-bever-step00000004.safetensors +3 -0
- 3d-pixar-bever.safetensors +3 -0
- README.md +42 -0
- dataset.toml +14 -0
- sample/3d-pixar-bever_000500_02_20250112191401_42.png +0 -0
- sample/3d-pixar-bever_001000_01_20250112192630_42.png +0 -0
- sample/3d-pixar-bever_001000_02_20250112192636_42.png +0 -0
- sample/3d-pixar-bever_003500_02_20250112202525_42.png +0 -0
- sample_prompts.txt +4 -0
- train.bat +42 -0
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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/3d-pixar-bever_000500_03_20250112191407_42.png
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text: 3D PIXAR BEVER walking in a forest --d 45
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- output:
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url: sample/3d-pixar-bever_001000_03_20250112192643_42.png
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text: 3D PIXAR BEVER is riding a bike --d 42
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- output:
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url: sample/3d-pixar-bever_001500_03_20250112194003_42.png
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text: 3D PIXAR BEVER walking as a body builder --d 42
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- output:
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url: sample/3d-pixar-bever_002000_03_20250112195355_42.png
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text: 3D PIXAR BEVER as a rock star --d 42
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: 3D PIXAR BEVER
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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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# 3D PIXAR BEVER
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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 `3D PIXAR BEVER` 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 = 'C:\pinokio\api\fluxgym.git\datasets\3d-pixar-bever'
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class_tokens = '3D PIXAR BEVER'
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num_repeats = 10
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sample/3d-pixar-bever_000500_02_20250112191401_42.png
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sample/3d-pixar-bever_001000_01_20250112192630_42.png
ADDED
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sample/3d-pixar-bever_001000_02_20250112192636_42.png
ADDED
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sample/3d-pixar-bever_003500_02_20250112202525_42.png
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sample_prompts.txt
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3D PIXAR BEVER walking in a forest --d 45
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3D PIXAR BEVER is riding a bike --d 42
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3D PIXAR BEVER walking as a body builder --d 42
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3D PIXAR BEVER as a rock star --d 42
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train.bat
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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 "C:\pinokio\api\fluxgym.git\models\unet\flux1-dev.sft" ^
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--clip_l "C:\pinokio\api\fluxgym.git\models\clip\clip_l.safetensors" ^
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--t5xxl "C:\pinokio\api\fluxgym.git\models\clip\t5xxl_fp16.safetensors" ^
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--ae "C:\pinokio\api\fluxgym.git\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 64 ^
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--optimizer_type adamw8bit ^--sample_prompts="C:\pinokio\api\fluxgym.git\outputs\3d-pixar-bever\sample_prompts.txt" --sample_every_n_steps="500" ^
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--learning_rate 8e-4 ^
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| 21 |
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--cache_text_encoder_outputs ^
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| 22 |
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--cache_text_encoder_outputs_to_disk ^
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| 23 |
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--fp8_base ^
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| 24 |
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--highvram ^
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| 25 |
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--max_train_epochs 16 ^
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| 26 |
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--save_every_n_epochs 4 ^
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| 27 |
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--dataset_config "C:\pinokio\api\fluxgym.git\outputs\3d-pixar-bever\dataset.toml" ^
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--output_dir "C:\pinokio\api\fluxgym.git\outputs\3d-pixar-bever" ^
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| 29 |
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--output_name 3d-pixar-bever ^
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| 30 |
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--timestep_sampling shift ^
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| 31 |
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--discrete_flow_shift 3.1582 ^
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| 32 |
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--model_prediction_type raw ^
|
| 33 |
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--guidance_scale 1 ^
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| 34 |
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--loss_type l2 ^
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| 35 |
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--cache_latents ^
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| 36 |
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--caption_extension .txt ^
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| 37 |
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--clip_skip 2 ^
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| 38 |
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--multires_noise_discount 0.1 ^
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| 39 |
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--multires_noise_iterations 10 ^
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| 40 |
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--network_alpha 32 ^
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| 41 |
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--no_half_vae ^
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| 42 |
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--noise_offset 0.03
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