Instructions to use johndeer/sd-pikachu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use johndeer/sd-pikachu with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("johndeer/sd-pikachu", 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
-
Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (#2)
- Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (37baa463dccb214416479c7e0739a514b6e46a39)c042bc6
-
Upload sample_images with huggingface_hub
7bdf451 -
Upload model_index.json with huggingface_hub
6c7c6f6 -
Upload vae with huggingface_hub
0e312eb -
Upload unet with huggingface_hub
dab9d35 -
Upload tokenizer with huggingface_hub
c9678cb -
Upload text_encoder with huggingface_hub
7cc8d96 -
Upload scheduler with huggingface_hub
611ad1e -
Upload safety_checker with huggingface_hub
db418df -
Upload feature_extractor with huggingface_hub
288dc83 -
Upload the concept SD_pikachu embeds and token
0d3d145 -
initial commit
8b0c1da