Text-to-Image
Diffusers
Trained with AutoTrain
stable-diffusion
stable-diffusion-diffusers
lora
template:sd-lora
Instructions to use AmilaUvaz/Michelle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AmilaUvaz/Michelle with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("AmilaUvaz/Michelle") prompt = "<Michelle, a 24-year-old traveler with brown skin, rectangle face, brown eyes, Armond-shaped eyebrows, long wavy brown hair)>" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download training_params.json from AmilaUvaz/Michelle: direct link, hf CLI and curl.
- Browser
- Download file 1.49 kB
-
https://huggingface.co/AmilaUvaz/Michelle/resolve/main/training_params.json
- Command line
-
hf download hf://AmilaUvaz/Michelle/training_params.json
-
curl -L -o training_params.json https://huggingface.co/AmilaUvaz/Michelle/resolve/main/training_params.json
1.49 kB
| {"model": "runwayml/stable-diffusion-v1-5", "vae_model": "", "revision": null, "tokenizer": null, "image_path": "Michelle/autotrain-data", "class_image_path": null, "prompt": "<Michelle, a 24-year-old traveler with brown skin, rectangle face, brown eyes, Armond-shaped eyebrows, long wavy brown hair)>", "class_prompt": null, "num_class_images": 100, "class_labels_conditioning": null, "prior_preservation": false, "prior_loss_weight": 1.0, "project_name": "Michelle", "seed": 42, "resolution": 1024, "center_crop": false, "train_text_encoder": false, "batch_size": 1, "sample_batch_size": 4, "epochs": 1, "num_steps": 500, "checkpointing_steps": 500, "resume_from_checkpoint": null, "gradient_accumulation": 4, "disable_gradient_checkpointing": false, "lr": 0.0001, "scale_lr": false, "scheduler": "constant", "warmup_steps": 0, "num_cycles": 1, "lr_power": 1.0, "dataloader_num_workers": 0, "use_8bit_adam": false, "adam_beta1": 0.9, "adam_beta2": 0.999, "adam_weight_decay": 0.01, "adam_epsilon": 1e-08, "max_grad_norm": 1.0, "allow_tf32": false, "prior_generation_precision": null, "local_rank": -1, "xformers": false, "pre_compute_text_embeddings": false, "tokenizer_max_length": null, "text_encoder_use_attention_mask": false, "rank": 4, "xl": false, "mixed_precision": "fp16", "push_to_hub": true, "username": "AmilaUvaz", "validation_prompt": null, "num_validation_images": 4, "validation_epochs": 50, "checkpoints_total_limit": null, "validation_images": null, "logging": false} |