Instructions to use gotha1312/azis1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gotha1312/azis1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("gotha1312/azis1") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
| { | |
| "__version": 10, | |
| "training_method": "LORA", | |
| "model_type": "QWEN", | |
| "debug_mode": false, | |
| "debug_dir": "debug", | |
| "workspace_dir": "workspace/azis1", | |
| "cache_dir": "workspace-cache/azis1", | |
| "tensorboard": true, | |
| "tensorboard_expose": false, | |
| "continue_last_backup": true, | |
| "base_model_name": "../models/Qwen-Image", | |
| "output_dtype": "BFLOAT_16", | |
| "output_model_format": "SAFETENSORS", | |
| "output_model_destination": "../output/azis1.safetensors", | |
| "gradient_checkpointing": "CPU_OFFLOADED", | |
| "layer_offload_fraction": 0.1, | |
| "concept_file_name": "", | |
| "concepts": [ | |
| { | |
| "name": "azis1", | |
| "enabled": true, | |
| "path": "../datasets/azis1", | |
| "prompt_source": "TXT", | |
| "prompt_path": "", | |
| "include_subdirectories": false, | |
| "image_variations": 1, | |
| "repeats": 1, | |
| "loss_weight": 1.0 | |
| } | |
| ], | |
| "aspect_ratio_bucketing": true, | |
| "latent_caching": true, | |
| "clear_cache_before_training": true, | |
| "learning_rate_scheduler": "COSINE", | |
| "learning_rate": 0.0001, | |
| "learning_rate_warmup_steps": 200, | |
| "learning_rate_cycles": 1.0, | |
| "epochs": 5, | |
| "batch_size": 2, | |
| "gradient_accumulation_steps": 2, | |
| "dataloader_threads": 1, | |
| "train_device": "cuda", | |
| "temp_device": "cpu", | |
| "train_dtype": "BFLOAT_16", | |
| "weight_dtype": "BFLOAT_16", | |
| "resolution": "512", | |
| "transformer": { | |
| "__version": 0, | |
| "model_name": "", | |
| "include": true, | |
| "train": true, | |
| "stop_training_after": 0, | |
| "stop_training_after_unit": "NEVER", | |
| "learning_rate": null, | |
| "weight_dtype": "FLOAT_8" | |
| }, | |
| "text_encoder": { | |
| "__version": 0, | |
| "model_name": "", | |
| "include": true, | |
| "train": false, | |
| "stop_training_after": 0, | |
| "stop_training_after_unit": "NEVER", | |
| "learning_rate": null, | |
| "weight_dtype": "FLOAT_8" | |
| }, | |
| "vae": { | |
| "__version": 0, | |
| "model_name": "", | |
| "include": true, | |
| "train": false, | |
| "weight_dtype": "FLOAT_32" | |
| }, | |
| "peft_type": "LORA", | |
| "lora_rank": 64, | |
| "lora_alpha": 64, | |
| "lora_weight_dtype": "FLOAT_32", | |
| "layer_filter_preset": "attn-mlp", | |
| "layer_filter": "attn,img_mlp,txt_mlp", | |
| "quantization": { | |
| "layer_filter": "transformer_block", | |
| "layer_filter_preset": "blocks" | |
| }, | |
| "optimizer": { | |
| "__version": 0, | |
| "optimizer": "ADAMW_8BIT", | |
| "weight_decay": 0.01, | |
| "eps": 1e-08, | |
| "fused": true | |
| }, | |
| "timestep_distribution": "LOGIT_NORMAL", | |
| "sample_definition_file_name": "", | |
| "samples": [ | |
| { | |
| "prompt": "azis1, man, portrait, professional photography, Ultra HD, 4K", | |
| "negative_prompt": "", | |
| "seed": 42, | |
| "height": 512, | |
| "width": 512, | |
| "cfg_scale": 4.0, | |
| "sampler": "EULER" | |
| }, | |
| { | |
| "prompt": "azis1, man, beard, tattoos, casual photo, outdoor, Ultra HD", | |
| "negative_prompt": "", | |
| "seed": 123, | |
| "height": 512, | |
| "width": 512, | |
| "cfg_scale": 4.0, | |
| "sampler": "EULER" | |
| } | |
| ], | |
| "sample_after": 1000, | |
| "sample_after_unit": "STEP", | |
| "sample_image_format": "JPG", | |
| "samples_to_tensorboard": true, | |
| "backup_after": 1000, | |
| "backup_after_unit": "STEP", | |
| "rolling_backup": true, | |
| "rolling_backup_count": 3, | |
| "backup_before_save": true | |
| } | |