Instructions to use EEEric/3d-icon-Flux-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EEEric/3d-icon-Flux-LoRA 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("EEEric/3d-icon-Flux-LoRA") prompt = "3d icon in the style of <s0><s1>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 1,829 Bytes
6a5c078 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 | adam_beta1: 0.9
adam_beta2: 0.999
adam_epsilon: 1.0e-08
adam_weight_decay: 0.0001
adam_weight_decay_text_encoder: 0.001
allow_tf32: false
cache_dir: null
cache_latents: false
caption_column: prompt
center_crop: false
checkpointing_steps: 2000
checkpoints_total_limit: null
class_data_dir: null
class_prompt: null
dataloader_num_workers: 0
dataset_config_name: null
dataset_name: ./3d_icon
enable_t5_ti: false
gradient_accumulation_steps: 1
gradient_checkpointing: false
guidance_scale: 3.5
hub_model_id: null
hub_token: null
image_column: image
initializer_concept: null
instance_data_dir: null
instance_prompt: 3d icon in the style of <s0><s1>
learning_rate: 1.0
local_rank: 0
logging_dir: logs
logit_mean: 0.0
logit_std: 1.0
lora_layers: null
lr_num_cycles: 1
lr_power: 1.0
lr_scheduler: constant
lr_warmup_steps: 0
max_grad_norm: 1.0
max_sequence_length: 512
max_train_steps: 700
mixed_precision: bf16
mode_scale: 1.29
num_class_images: 100
num_new_tokens_per_abstraction: null
num_train_epochs: 234
num_validation_images: 4
optimizer: prodigy
output_dir: 3d-icon-Flux-LoRA
pretrained_model_name_or_path: black-forest-labs/FLUX.1-dev
prior_generation_precision: null
prior_loss_weight: 1.0
prodigy_beta3: null
prodigy_decouple: true
prodigy_safeguard_warmup: true
prodigy_use_bias_correction: true
push_to_hub: false
random_flip: false
rank: 8
repeats: 1
report_to: tensorboard
resolution: 1024
resume_from_checkpoint: null
revision: null
sample_batch_size: 4
scale_lr: false
seed: 0
text_encoder_lr: 1.0
token_abstraction: TOK
train_batch_size: 1
train_text_encoder: false
train_text_encoder_frac: 1.0
train_text_encoder_ti: true
train_text_encoder_ti_frac: 0.5
train_transformer_frac: 1.0
use_8bit_adam: false
validation_epochs: 50
validation_prompt: null
variant: null
weighting_scheme: none
with_prior_preservation: false
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