Instructions to use bbbboiwow/cocccck with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bbbboiwow/cocccck with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("bbbboiwow/cocccck", 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
Ctrl+K
- Wan
- audio_encoders
- checkpoints
- clip
- clip_vision
- configs
- controlnet
- custom_nodes
- diffusers
- diffusion_models
- embeddings
- facedetection
- facerestore_models
- gligen
- hypernetworks
- insightface
- instantid
- ipadapter-flux
- ipadapter
- latent_upscale_models
- loras
- model_patches
- nsfw_detector
- photomaker
- pulid
- sams
- style_models
- text_encoders
- ultralytics
- unet
- upscale_models
- vae
- vae_approx
- workflows
- xlabs
- 24.7 kB