Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
Instructions to use ButterChicken98/plantVillage-stableDiffusion-2-iter2_with_one_caption with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ButterChicken98/plantVillage-stableDiffusion-2-iter2_with_one_caption with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ButterChicken98/plantVillage-stableDiffusion-2-iter2_with_one_caption") 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
- allegro
- amused
- animatediff
- audioldm
- audioldm2
- aura_flow
- blipdiffusion
- cogvideo
- cogview3
- consistency_models
- controlnet
- controlnet_flux
- controlnet_hunyuandit
- controlnet_sd3
- controlnet_xs
- dance_diffusion
- ddim
- ddpm
- deepfloyd_if
- dit
- flux
- hunyuan_dit
- hunyuan_video
- i2vgen_xl
- ip_adapters
- kandinsky
- kandinsky2_2
- kandinsky3
- kolors
- latent_consistency_models
- latent_diffusion
- latte
- ledits_pp
- ltx
- lumina
- marigold
- mochi
- musicldm
- pag
- paint_by_example
- pia
- pixart_alpha
- pixart_sigma
- pndm
- sana
- semantic_stable_diffusion
- shap_e
- stable_audio
- stable_cascade
- stable_diffusion