Instructions to use eduardosflopes/eduardosflopes2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use eduardosflopes/eduardosflopes2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("eduardosflopes/eduardosflopes2", 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
-
Upload sample_images with huggingface_hub
53f20a5 -
Upload model_index.json with huggingface_hub
0580db3 -
Upload vae with huggingface_hub
f84897e -
Upload unet with huggingface_hub
7527553 -
Upload tokenizer with huggingface_hub
3a48f8e -
Upload text_encoder with huggingface_hub
6d85988 -
Upload scheduler with huggingface_hub
e568f94 -
Upload safety_checker with huggingface_hub
d6d5144 -
Upload feature_extractor with huggingface_hub
e99a7df -
Upload the concept eduardosflopes2 embeds and token
c094ecc -
initial commit
35080f2