Instructions to use RareConcepts/pseudo-flex-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RareConcepts/pseudo-flex-v2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("RareConcepts/pseudo-flex-v2", 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
Download training_state-normalnudes.json from RareConcepts/pseudo-flex-v2: direct link, hf CLI and curl.
- Browser
- Download file 23 kB
-
https://huggingface.co/RareConcepts/pseudo-flex-v2/resolve/main/training_state-normalnudes.json
- Command line
-
hf download hf://RareConcepts/pseudo-flex-v2/training_state-normalnudes.json
-
curl -L -o training_state-normalnudes.json https://huggingface.co/RareConcepts/pseudo-flex-v2/resolve/main/training_state-normalnudes.json
23 kB
- Xet hash:
- 8826216a9fdae0c0b053fe3794f80c6e8c83e6a413b693ab23b38d8fd3ecde90
- Size of remote file:
- 23 kB
- SHA256:
- 6bfa5a4eaade9a1a0dfeddd6f46c7dd8e97753de8a7ec9246f2a7c1ceabe6885
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