Instructions to use Darebal/tattoo_diffusion_lora_sd_15 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Darebal/tattoo_diffusion_lora_sd_15 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Darebal/tattoo_diffusion_lora_sd_15", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K
- lora_128_small_dataset
- lora_16a_8r_100_dataset_20_epochs_2bs
- lora_32a_16r_150_dataset_20_epochs_5bs
- lora_64_small_dataset
- lora_64_small_dataset_20_epochs
- lora_64a_32r_150_dataset_10_epochs
- lora_64a_32r_150_dataset_15_epochs_5bs
- lora_64a_32r_2k_dataset_15_epochs
- lora_64a_32r_2k_dataset_3_epochs
- lora_64a_32r_2k_dataset_5_epochs
- lora_64a_32r_2k_dataset_5_epochs_new
- lora_64a_32r_small_dataset_10_epchs
- taras_v_1_0
- taras_v_1_1
- taras_v_1_2
- taras_v_1_3_big(16_32_100_3_50_linear)
- tlora_16a_16r_340st_3batch_20epo_cosine
- 1.93 kB
- 657 Bytes