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
Error: got an unexpected keyword argument 'init_image'
I'm getting an error when running the Google Collab of Video Killed the Radio Star at step: generate animation frames
Fetching variations
1
TypeError Traceback (most recent call last)
in
153 tot_variations -= curr_variation_count # only generate variations we still need
154 for _ in range(tot_variations):
--> 155 img = get_variations_w_init(prompt, init_images, start_schedule=(1-image_consistency))[0]
156 save_frame(
157 img,
3 frames
/usr/local/lib/python3.9/dist-packages/torch/autograd/grad_mode.py in decorate_context(*args, **kwargs)
25 def decorate_context(*args, **kwargs):
26 with self.clone():
---> 27 return func(*args, **kwargs)
28 return cast(F, decorate_context)
29
TypeError: call() got an unexpected keyword argument 'init_image'