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.json from RareConcepts/pseudo-flex-v2: direct link, hf CLI and curl.
- Browser
- Download file 708 Bytes
-
https://huggingface.co/RareConcepts/pseudo-flex-v2/resolve/main/training_state.json
- Command line
-
hf download hf://RareConcepts/pseudo-flex-v2/training_state.json
-
curl -L -o training_state.json https://huggingface.co/RareConcepts/pseudo-flex-v2/resolve/main/training_state.json
708 Bytes
- Xet hash:
- 78d8535b2033cbce06a64c5f953e08f296f1a9b74bf331cac8fbd70d086ce175
- Size of remote file:
- 708 Bytes
- SHA256:
- 3b0c0ca4fa4a20510e6122ab08865e25f75f7e751043e4e9d5ff1a73fdbb0408
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