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
- Draw Things
- DiffusionBee
Adding `safetensors` variant of this model
#11 opened over 2 years ago
by
SFconvertbot
Train SD from scratch on pokemon dataset
#10 opened over 2 years ago
by
csegalin
Adding `safetensors` variant of this model
#8 opened over 3 years ago
by
lucataco
Add `scale_factor` to vae config.
#7 opened over 3 years ago
by
valhalla
model strangely overfit one image
1
#6 opened over 3 years ago
by
Xiang-cd
[Tutorial] How to Run and Convert Stable Diffusion Diffusers (.bin Weights) & Dreambooth Models to CKPT File
#5 opened over 3 years ago
by
MonsterMMORPG
getattr(): attribute name must be string
1
#2 opened over 3 years ago
by
akabynda