Instructions to use sdasdadas/your-model-name with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sdasdadas/your-model-name with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sdasdadas/your-model-name", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
feat: upload joshv1 lora model
Browse files
joshv1_config/config_file.toml
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[model_arguments]
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v2 = false
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v_parameterization = false
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pretrained_model_name_or_path = "/content/pretrained_model/Realistic_Vision_V2.0.safetensors"
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[additional_network_arguments]
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no_metadata = false
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unet_lr = 0.0003
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text_encoder_lr = 0.0006
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network_module = "networks.lora"
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network_dim = 16
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network_alpha = 8
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network_args = [ "conv_dim=8", "conv_alpha=1",]
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network_train_unet_only = false
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network_train_text_encoder_only = false
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[optimizer_arguments]
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optimizer_type = "AdamW8bit"
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learning_rate = 0.0003
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max_grad_norm = 1.0
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lr_scheduler = "constant"
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lr_warmup_steps = 0
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[dataset_arguments]
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cache_latents = true
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debug_dataset = false
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vae_batch_size = 4
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[training_arguments]
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output_dir = "/content/LoRA/output"
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output_name = "joshv1"
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save_precision = "fp16"
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save_every_n_epochs = 1
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train_batch_size = 6
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max_token_length = 225
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mem_eff_attn = false
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xformers = true
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max_train_epochs = 3
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max_data_loader_n_workers = 8
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persistent_data_loader_workers = true
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gradient_checkpointing = false
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gradient_accumulation_steps = 1
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mixed_precision = "fp16"
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clip_skip = 1
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logging_dir = "/content/LoRA/logs"
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log_prefix = "joshv1"
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lowram = true
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[sample_prompt_arguments]
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sample_every_n_epochs = 1
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sample_sampler = "ddim"
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[dreambooth_arguments]
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prior_loss_weight = 1.0
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[saving_arguments]
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save_model_as = "safetensors"
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joshv1_config/dataset_config.toml
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[[datasets]]
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resolution = 512
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min_bucket_reso = 256
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max_bucket_reso = 1024
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caption_dropout_rate = 0
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caption_tag_dropout_rate = 0
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caption_dropout_every_n_epochs = 0
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flip_aug = false
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color_aug = false
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[[datasets.subsets]]
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image_dir = "/content/LoRA/train_data"
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class_tokens = "mksks style"
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num_repeats = 200
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[general]
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enable_bucket = true
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caption_extension = ".caption"
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shuffle_caption = true
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keep_tokens = 0
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bucket_reso_steps = 64
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bucket_no_upscale = false
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joshv1_config/sample_prompt.txt
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masterpiece, best quality, 1girl, aqua eyes, baseball cap, blonde hair, closed mouth, earrings, green background, hat, hoop earrings, jewelry, looking at viewer, shirt, short hair, simple background, solo, upper body, yellow shirt --n lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry --w 512 --h 768 --l 7 --s 28
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