Instructions to use yazerakbar/flux-evil-config with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yazerakbar/flux-evil-config with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("yazerakbar/flux-evil-config", 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 text_encoder/pytorch_model.bin with huggingface_hub 62043d3 verified
Upload text_encoder/pytorch_model.bin with huggingface_hub 7b155d9 verified
Upload text_encoder/pytorch_model.bin with huggingface_hub ff20b8a verified
remove LFS bins a5e68f4
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fix: CLIP-large-patch14 768dim weights ccf60ec
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remove corrupt safetensors, use pytorch_model.bin 339862e
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fix: CLIP-large 768 + transformer text_embedder 768 4915e6f
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