Instructions to use lambda/sd-pokemon-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lambda/sd-pokemon-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lambda/sd-pokemon-diffusers", 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
Commit History
-
Adding `safetensors` variant of this model
b62b7d5
-
Add `clip_sample=False` to scheduler to make model compatible with DDIM. (#3)
- Add `clip_sample=False` to scheduler to make model compatible with DDIM. (72822ef6a91368b26a7991fdd8f97dfd2409df4b) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>6d2fb7c
-
Update scheduler/scheduler_config.json (#1)
- Update scheduler/scheduler_config.json (8de2386b40889990c330d5e738e9b23b3fd6750a) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>bb7be9f
-
Create README.md
5670862
-
commit files to HF hub
20cbafc -
initial commit
c1a503d