Instructions to use markredito/90sbadtrip with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use markredito/90sbadtrip with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("markredito/90sbadtrip") prompt = "TRP90S" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
90S bad trip
A LoRA for Flux.1 Dev to re-create really bad and trippy CGI from the 90s.
For best results:
- Set
lora_scalewithin ranges 1.2 to 1.4 for full effect
Trigger words
You should use TRP90S to trigger the image generation.
("A photo of TRP90S", or, "in the style of TRP90S")
Use it with the 🧨 diffusers library
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('markredito/90sbadtrip', weight_name='lora.safetensors')
image = pipeline('your prompt').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
Trained on Replicate using:
- Downloads last month
- 8
Model tree for markredito/90sbadtrip
Base model
black-forest-labs/FLUX.1-dev