Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use CompVis/stable-diffusion-v1-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CompVis/stable-diffusion-v1-4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", dtype=torch.bfloat16, device_map="cuda") prompt = "A high tech solarpunk utopia in the Amazon rainforest" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
AttributeError: 'AutoencoderKLOutput' object has no attribute 'sample'
#235
by Nobparad - opened
Traceback (most recent call last):
File "C:\Users\HP.conda\envs\ldm\lib\tkinter_init_.py", line 1883, in call
return self.func(*args)
File "scripts/draw.py", line 48, in save
out = self.model([self.prompt_input.get(1.0, "end-1c")], init_image=drawn_img)["sample"][0]
File "C:\Users\HP.conda\envs\ldm\lib\site-packages\torch\autograd\grad_mode.py", line 27, in decorate_context
return func(*args, **kwargs)
File "C:\Users\HP\Downloads\stable-diffusion-draw-main\scripts\diffusion_img2img.py", line 88, in call
init_latents = self.vae.encode(init_image.to(self.device))[0].sample()
AttributeError: 'AutoencoderKLOutput' object has no attribute 'sample'
